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Customized Video Games Promising for ADHD, Depression, in Children
, results of a new review and meta-analysis suggested.
Although the video game–based or “gamified” digital mental health interventions (DMHIs) were associated with modest improvements in ADHD symptoms and depression, investigators found no significant benefit in the treatment of anxiety.
“The studies are showing these video games really do work, at least for ADHD and depression but maybe not for anxiety,” said Barry Bryant, MD, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore.
“The results may assist clinicians as they make recommendations to patients and parents regarding the efficacy of using these video games to treat mental health conditions.”
The findings were presented at the American Psychiatric Association (APA) 2024 Annual Meeting.
A Major Problem
Childhood mental illness is a “big problem,” with about 20% of children facing some mental health challenge such as ADHD, anxiety, or depression, said Dr. Bryant. Unfortunately, these youngsters typically have to wait a while to see a provider, he added.
DMHIs may be an option to consider in the meantime to help meet the increasing demand for treatment, he said.
Gamified DMHIs are like other video games, in that players advance in levels on digital platforms and are rewarded for progress. But they’re created specifically to target certain mental health conditions.
An ADHD game, for example, might involve users completing activities that require an increasing degree of attention. Games focused on depression might incorporate mindfulness and meditation practices or cognitive behavioral elements.
Experts in child psychiatry are involved in developing such games along with professionals in business and video game technology, said Dr. Bryant.
But the question is: Do these games really work?
Effective for ADHD, Depression
Investigators reviewed nearly 30 randomized controlled trials of gamified DMHIs as a treatment for anxiety, depression, and/or ADHD in people younger than 18 years that were published from January 1, 1990, to April 7, 2023.
The trials tested a wide variety of gamified DMHIs that fit the inclusion criteria: A control condition, a digital game intervention, sufficient data to calculate effect size, and available in English.
A meta-analysis was performed to examine the therapeutic effects of the gamified DMHIs for ADHD, depression, and anxiety. For all studies, the active treatment was compared with the control condition using Hedges’ g to measure effect size and 95% CIs.
Dr. Bryant noted there was significant heterogeneity of therapeutic effects between the studies and their corresponding gamified interventions.
The study found gamified DMHIs had a modest therapeutic effect for treating ADHD (pooled g = 0.280; P = .005) and depression (pooled g = 0.279; P = .005) in children and adolescents.
But games targeting anxiety didn’t seem to have the same positive impact (pooled g = 0.074; P = .197).
The results suggest the games “show potential and promise” for certain mental health conditions and could offer a “bridge” to accessing more traditional therapies, Dr. Bryant said.
“Maybe this is something that can help these children until they can get to see a psychiatrist, or it could be part of a comprehensive treatment plan,” he said.
The goal is to “make something that kids want to play and engage with” especially if they’re reluctant to sit in a therapist’s office.
The results provide clinicians with information they can actually use in their practices, said Dr. Bryant, adding that his team hopes to get their study published.
Gaining Traction
Commenting on the research, James Sherer, MD, medical director, Addiction Psychiatry, Overlook Medical Center, Atlantic Health System, said the study shows the literature supports video games, and these games “are gaining traction” in the field.
He noted the app for one such game, EndeavorRx, was one of the first to be approved by the US Food and Drug Administration (FDA) to treat ADHD in young people aged 8-17 years.
EndeavorRx challenges players to chase mystic creatures, race through different worlds, and use “boosts” to problem-solve while building their own universe, according to the company website.
By being incentivized to engage in certain activities, “there’s a level of executive functioning that’s being exercised and the idea is to do that repetitively,” said Dr. Sherer.
Users and their parents report improved ADHD symptoms after playing the game. One of the studies included in the review found 73% of children who played EndeavorRx reported improvement in their attention.
The company says there have been no serious adverse events seen in any clinical trial of EndeavorRx.
Dr. Sherer noted that many child psychiatrists play some sort of video game with their young patients who may be on the autism spectrum or have a learning disability.
“That may be one of the few ways to communicate with and effectively bond with the patient,” he said.
Despite their reputation of being violent and associated with “toxic subcultures,” video games can do a lot of good and be “restorative” for patients of all ages, Dr. Sherer added.
No relevant conflicts of interest were disclosed.
A version of this article appeared on Medscape.com.
, results of a new review and meta-analysis suggested.
Although the video game–based or “gamified” digital mental health interventions (DMHIs) were associated with modest improvements in ADHD symptoms and depression, investigators found no significant benefit in the treatment of anxiety.
“The studies are showing these video games really do work, at least for ADHD and depression but maybe not for anxiety,” said Barry Bryant, MD, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore.
“The results may assist clinicians as they make recommendations to patients and parents regarding the efficacy of using these video games to treat mental health conditions.”
The findings were presented at the American Psychiatric Association (APA) 2024 Annual Meeting.
A Major Problem
Childhood mental illness is a “big problem,” with about 20% of children facing some mental health challenge such as ADHD, anxiety, or depression, said Dr. Bryant. Unfortunately, these youngsters typically have to wait a while to see a provider, he added.
DMHIs may be an option to consider in the meantime to help meet the increasing demand for treatment, he said.
Gamified DMHIs are like other video games, in that players advance in levels on digital platforms and are rewarded for progress. But they’re created specifically to target certain mental health conditions.
An ADHD game, for example, might involve users completing activities that require an increasing degree of attention. Games focused on depression might incorporate mindfulness and meditation practices or cognitive behavioral elements.
Experts in child psychiatry are involved in developing such games along with professionals in business and video game technology, said Dr. Bryant.
But the question is: Do these games really work?
Effective for ADHD, Depression
Investigators reviewed nearly 30 randomized controlled trials of gamified DMHIs as a treatment for anxiety, depression, and/or ADHD in people younger than 18 years that were published from January 1, 1990, to April 7, 2023.
The trials tested a wide variety of gamified DMHIs that fit the inclusion criteria: A control condition, a digital game intervention, sufficient data to calculate effect size, and available in English.
A meta-analysis was performed to examine the therapeutic effects of the gamified DMHIs for ADHD, depression, and anxiety. For all studies, the active treatment was compared with the control condition using Hedges’ g to measure effect size and 95% CIs.
Dr. Bryant noted there was significant heterogeneity of therapeutic effects between the studies and their corresponding gamified interventions.
The study found gamified DMHIs had a modest therapeutic effect for treating ADHD (pooled g = 0.280; P = .005) and depression (pooled g = 0.279; P = .005) in children and adolescents.
But games targeting anxiety didn’t seem to have the same positive impact (pooled g = 0.074; P = .197).
The results suggest the games “show potential and promise” for certain mental health conditions and could offer a “bridge” to accessing more traditional therapies, Dr. Bryant said.
“Maybe this is something that can help these children until they can get to see a psychiatrist, or it could be part of a comprehensive treatment plan,” he said.
The goal is to “make something that kids want to play and engage with” especially if they’re reluctant to sit in a therapist’s office.
The results provide clinicians with information they can actually use in their practices, said Dr. Bryant, adding that his team hopes to get their study published.
Gaining Traction
Commenting on the research, James Sherer, MD, medical director, Addiction Psychiatry, Overlook Medical Center, Atlantic Health System, said the study shows the literature supports video games, and these games “are gaining traction” in the field.
He noted the app for one such game, EndeavorRx, was one of the first to be approved by the US Food and Drug Administration (FDA) to treat ADHD in young people aged 8-17 years.
EndeavorRx challenges players to chase mystic creatures, race through different worlds, and use “boosts” to problem-solve while building their own universe, according to the company website.
By being incentivized to engage in certain activities, “there’s a level of executive functioning that’s being exercised and the idea is to do that repetitively,” said Dr. Sherer.
Users and their parents report improved ADHD symptoms after playing the game. One of the studies included in the review found 73% of children who played EndeavorRx reported improvement in their attention.
The company says there have been no serious adverse events seen in any clinical trial of EndeavorRx.
Dr. Sherer noted that many child psychiatrists play some sort of video game with their young patients who may be on the autism spectrum or have a learning disability.
“That may be one of the few ways to communicate with and effectively bond with the patient,” he said.
Despite their reputation of being violent and associated with “toxic subcultures,” video games can do a lot of good and be “restorative” for patients of all ages, Dr. Sherer added.
No relevant conflicts of interest were disclosed.
A version of this article appeared on Medscape.com.
, results of a new review and meta-analysis suggested.
Although the video game–based or “gamified” digital mental health interventions (DMHIs) were associated with modest improvements in ADHD symptoms and depression, investigators found no significant benefit in the treatment of anxiety.
“The studies are showing these video games really do work, at least for ADHD and depression but maybe not for anxiety,” said Barry Bryant, MD, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore.
“The results may assist clinicians as they make recommendations to patients and parents regarding the efficacy of using these video games to treat mental health conditions.”
The findings were presented at the American Psychiatric Association (APA) 2024 Annual Meeting.
A Major Problem
Childhood mental illness is a “big problem,” with about 20% of children facing some mental health challenge such as ADHD, anxiety, or depression, said Dr. Bryant. Unfortunately, these youngsters typically have to wait a while to see a provider, he added.
DMHIs may be an option to consider in the meantime to help meet the increasing demand for treatment, he said.
Gamified DMHIs are like other video games, in that players advance in levels on digital platforms and are rewarded for progress. But they’re created specifically to target certain mental health conditions.
An ADHD game, for example, might involve users completing activities that require an increasing degree of attention. Games focused on depression might incorporate mindfulness and meditation practices or cognitive behavioral elements.
Experts in child psychiatry are involved in developing such games along with professionals in business and video game technology, said Dr. Bryant.
But the question is: Do these games really work?
Effective for ADHD, Depression
Investigators reviewed nearly 30 randomized controlled trials of gamified DMHIs as a treatment for anxiety, depression, and/or ADHD in people younger than 18 years that were published from January 1, 1990, to April 7, 2023.
The trials tested a wide variety of gamified DMHIs that fit the inclusion criteria: A control condition, a digital game intervention, sufficient data to calculate effect size, and available in English.
A meta-analysis was performed to examine the therapeutic effects of the gamified DMHIs for ADHD, depression, and anxiety. For all studies, the active treatment was compared with the control condition using Hedges’ g to measure effect size and 95% CIs.
Dr. Bryant noted there was significant heterogeneity of therapeutic effects between the studies and their corresponding gamified interventions.
The study found gamified DMHIs had a modest therapeutic effect for treating ADHD (pooled g = 0.280; P = .005) and depression (pooled g = 0.279; P = .005) in children and adolescents.
But games targeting anxiety didn’t seem to have the same positive impact (pooled g = 0.074; P = .197).
The results suggest the games “show potential and promise” for certain mental health conditions and could offer a “bridge” to accessing more traditional therapies, Dr. Bryant said.
“Maybe this is something that can help these children until they can get to see a psychiatrist, or it could be part of a comprehensive treatment plan,” he said.
The goal is to “make something that kids want to play and engage with” especially if they’re reluctant to sit in a therapist’s office.
The results provide clinicians with information they can actually use in their practices, said Dr. Bryant, adding that his team hopes to get their study published.
Gaining Traction
Commenting on the research, James Sherer, MD, medical director, Addiction Psychiatry, Overlook Medical Center, Atlantic Health System, said the study shows the literature supports video games, and these games “are gaining traction” in the field.
He noted the app for one such game, EndeavorRx, was one of the first to be approved by the US Food and Drug Administration (FDA) to treat ADHD in young people aged 8-17 years.
EndeavorRx challenges players to chase mystic creatures, race through different worlds, and use “boosts” to problem-solve while building their own universe, according to the company website.
By being incentivized to engage in certain activities, “there’s a level of executive functioning that’s being exercised and the idea is to do that repetitively,” said Dr. Sherer.
Users and their parents report improved ADHD symptoms after playing the game. One of the studies included in the review found 73% of children who played EndeavorRx reported improvement in their attention.
The company says there have been no serious adverse events seen in any clinical trial of EndeavorRx.
Dr. Sherer noted that many child psychiatrists play some sort of video game with their young patients who may be on the autism spectrum or have a learning disability.
“That may be one of the few ways to communicate with and effectively bond with the patient,” he said.
Despite their reputation of being violent and associated with “toxic subcultures,” video games can do a lot of good and be “restorative” for patients of all ages, Dr. Sherer added.
No relevant conflicts of interest were disclosed.
A version of this article appeared on Medscape.com.
FROM APA 2024
Top Predictors of Substance Initiation in Youth Flagged
, new research suggests.
Aside from sociodemographic parameters, risk factors for substance use initiation include prenatal exposure to substances, peer use of alcohol and nicotine, and problematic school behavior, among other things, the study showed.
The results show certain modifiable risk factors may play a role in preventing youth from starting to use substances, said study author ReJoyce Green, PhD, research assistant professor, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston.
“If we’re designing, say, a prevention program or an early intervention program, these are things that could make a difference, so let’s make sure we’re bringing them into the conversation.”
The findings were presented at the annual meeting of the American Psychiatric Association American Psychiatric Association (APA) and published online in The American Journal of Psychiatry.
Critical Risk Factors
Use of alcohol, tobacco, and cannabis often begins during adolescence. One recent survey showed that 23% of 13-year-olds reported using alcohol, 17% reported vaping nicotine, and 8% reported vaping cannabis. Other research links younger age at substance use initiation to a more rapid transition to substance use disorders and higher rates of psychiatric disorders.
Previous studies examining predictors of substance use initiation in the Adolescent Brain Cognitive Development (ABCD) Study dataset focused primarily on self-reported measures, but the current study also looked at models that include hormones and neurocognitive factors as well as neuroimaging.
This study included 6829, 9- and 10-year-olds from the ABCD Study who had never tried substances and were followed for 3 years.
A sophisticated statistical approach was used to examine 420 variables as predictors of substance use initiation. Initiation was defined as trying any nonprescribed substance by age 12 years. “That’s including a single sip of alcohol or puff of a cigarette,” said Dr. Green.
In addition to alcohol, nicotine, and cannabis, researchers looked at initiation of synthetic cannabinoids, cocaine, methamphetamine, and ketamine, among other substances.
Self-reported measures included demographic characteristics, self and peer involvement with substance use, parenting behaviors, mental and physical health, and culture and environmental factors.
The analytical approach used machine-learning algorithms to compare the ability of domains to identify the most critical risk factors. Magnitudes of coefficients were used to assess variable importance, with positive coefficients indicating greater likelihood of substance initiation and negative coefficients indicating lower likelihood of initiation.
By age 12 years, 14.4% of the children studied reported substance initiation. Alcohol was the substance most commonly initiated (365 individuals), followed by nicotine (94 individuals) and cannabis (40 individuals), with few or no children initiating other substances.
Both those who did and did not initiate substances were similarly aged, and most participants identified as White and non-Hispanic. But the substance-use group had a lower percentage of girls and higher percentage of White participants compared with the no-substance-use group.
The model with only self-reported data had similar accuracy in predicting substance use initiation (area under the curve [AUC], 0.67) as models that added resource-intensive measures such as neurocognitive tests and hormones (AUC, 0.67) and neuroimaging (AUC, 0.66).
Religious Predictors
The strongest predictors of substance use initiation were related to religion: Youths whose parents reported a religious preference for Mormonism were less likely to initiate substance use (coefficient, -0.87), whereas youths whose parents reported a religious preference for Judaism were more likely to initiate substance use (coefficient, 0.32).
The third top predictor was race: Black youths were less likely to initiate substance use (coefficient, -0.32). This was followed by youths whose parents reported a religious preference for Islam who were also less likely to initiate substance use (coefficient, -0.25).
The research examined over 15 different religious categories, “so we really tried to be expansive,” noted Dr. Green.
It’s unclear why some religions appeared to have a protective impact when it comes to substance use initiation whereas others have the opposite effect. Future research could perhaps identify which components of religiosity affect substance use initiation. If so, these aspects could be developed and incorporated into prevention and intervention programs, said Dr. Green.
Next on the list of most important predictors was being a part of a household with an income of $12,000-$15,999; these youths were less likely to initiate substance use (coefficient, 0.22).
Within the culture and environment domain, a history of detention or suspension was a top predictor of substance use initiation (coefficient, 0.20). Prenatal exposure to substance use was also a robust predictor in the physical health category (coefficient, 0.15).
Other predictors included: parents with less than a high school degree or GED (coefficient, -0.14), substance use availability (coefficient, 0.12), and age at baseline (coefficient, 0.12).
The study also showed that better cognitive functioning in selected domains (eg, cognitive control, attention, and language ability) is associated with a greater likelihood of substance use initiation.
Shaping Future Prevention
Applying these findings in clinical settings could help tailor prevention and early intervention efforts, said the authors. It might be prudent to allocate resources to collecting data related to self-, peer-, and familial-related factors, “which were more informative in predicting substance use initiation during late childhood and early adolescence in the present study,” they wrote.
Researchers will continue to track these children through to a 10-year follow-up, said Dr. Green. “I’m really curious to see if the factors we found when they were 12 and 13, such as those related to peers and family, still hold when they’re ages 17 and 18, because there’s going to be a huge amount of brain development that’s happening throughout this phase.”
The group that initiated substance use and the group that didn’t initiate substance use were not totally balanced, and sample sizes for some religious categories were small. Another study limitation was that the analytic approach didn’t account for multilevel data within the context of site and families.
Commenting on the findings, Kathleen Brady, MD, PhD, distinguished university professor and director, South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, said that the study is “critical and complex.” This, she said, is especially true as cannabis has become more accessible and potent, and as the federal government reportedly considers reclassifying it from a Schedule I drug (which includes highly dangerous, addictive substances with no medical use) to a Schedule III drug (which can be prescribed as a medication).
“The part that is the most frightening to me is the long-lasting effects that can happen when young people start using high-potency marijuana at an early age,” said Dr. Brady. “So, any information that we can give to parents, to teachers, to the public, and to doctors is important.”
She’s looking forward to getting more “incredibly important” information on substance use initiation as the study progresses and the teens get older.
The study received support from the National Institute on Alcohol Abuse and Alcoholism and the National Institute on Drug Abuse.
A version of this article appeared on Medscape.com.
, new research suggests.
Aside from sociodemographic parameters, risk factors for substance use initiation include prenatal exposure to substances, peer use of alcohol and nicotine, and problematic school behavior, among other things, the study showed.
The results show certain modifiable risk factors may play a role in preventing youth from starting to use substances, said study author ReJoyce Green, PhD, research assistant professor, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston.
“If we’re designing, say, a prevention program or an early intervention program, these are things that could make a difference, so let’s make sure we’re bringing them into the conversation.”
The findings were presented at the annual meeting of the American Psychiatric Association American Psychiatric Association (APA) and published online in The American Journal of Psychiatry.
Critical Risk Factors
Use of alcohol, tobacco, and cannabis often begins during adolescence. One recent survey showed that 23% of 13-year-olds reported using alcohol, 17% reported vaping nicotine, and 8% reported vaping cannabis. Other research links younger age at substance use initiation to a more rapid transition to substance use disorders and higher rates of psychiatric disorders.
Previous studies examining predictors of substance use initiation in the Adolescent Brain Cognitive Development (ABCD) Study dataset focused primarily on self-reported measures, but the current study also looked at models that include hormones and neurocognitive factors as well as neuroimaging.
This study included 6829, 9- and 10-year-olds from the ABCD Study who had never tried substances and were followed for 3 years.
A sophisticated statistical approach was used to examine 420 variables as predictors of substance use initiation. Initiation was defined as trying any nonprescribed substance by age 12 years. “That’s including a single sip of alcohol or puff of a cigarette,” said Dr. Green.
In addition to alcohol, nicotine, and cannabis, researchers looked at initiation of synthetic cannabinoids, cocaine, methamphetamine, and ketamine, among other substances.
Self-reported measures included demographic characteristics, self and peer involvement with substance use, parenting behaviors, mental and physical health, and culture and environmental factors.
The analytical approach used machine-learning algorithms to compare the ability of domains to identify the most critical risk factors. Magnitudes of coefficients were used to assess variable importance, with positive coefficients indicating greater likelihood of substance initiation and negative coefficients indicating lower likelihood of initiation.
By age 12 years, 14.4% of the children studied reported substance initiation. Alcohol was the substance most commonly initiated (365 individuals), followed by nicotine (94 individuals) and cannabis (40 individuals), with few or no children initiating other substances.
Both those who did and did not initiate substances were similarly aged, and most participants identified as White and non-Hispanic. But the substance-use group had a lower percentage of girls and higher percentage of White participants compared with the no-substance-use group.
The model with only self-reported data had similar accuracy in predicting substance use initiation (area under the curve [AUC], 0.67) as models that added resource-intensive measures such as neurocognitive tests and hormones (AUC, 0.67) and neuroimaging (AUC, 0.66).
Religious Predictors
The strongest predictors of substance use initiation were related to religion: Youths whose parents reported a religious preference for Mormonism were less likely to initiate substance use (coefficient, -0.87), whereas youths whose parents reported a religious preference for Judaism were more likely to initiate substance use (coefficient, 0.32).
The third top predictor was race: Black youths were less likely to initiate substance use (coefficient, -0.32). This was followed by youths whose parents reported a religious preference for Islam who were also less likely to initiate substance use (coefficient, -0.25).
The research examined over 15 different religious categories, “so we really tried to be expansive,” noted Dr. Green.
It’s unclear why some religions appeared to have a protective impact when it comes to substance use initiation whereas others have the opposite effect. Future research could perhaps identify which components of religiosity affect substance use initiation. If so, these aspects could be developed and incorporated into prevention and intervention programs, said Dr. Green.
Next on the list of most important predictors was being a part of a household with an income of $12,000-$15,999; these youths were less likely to initiate substance use (coefficient, 0.22).
Within the culture and environment domain, a history of detention or suspension was a top predictor of substance use initiation (coefficient, 0.20). Prenatal exposure to substance use was also a robust predictor in the physical health category (coefficient, 0.15).
Other predictors included: parents with less than a high school degree or GED (coefficient, -0.14), substance use availability (coefficient, 0.12), and age at baseline (coefficient, 0.12).
The study also showed that better cognitive functioning in selected domains (eg, cognitive control, attention, and language ability) is associated with a greater likelihood of substance use initiation.
Shaping Future Prevention
Applying these findings in clinical settings could help tailor prevention and early intervention efforts, said the authors. It might be prudent to allocate resources to collecting data related to self-, peer-, and familial-related factors, “which were more informative in predicting substance use initiation during late childhood and early adolescence in the present study,” they wrote.
Researchers will continue to track these children through to a 10-year follow-up, said Dr. Green. “I’m really curious to see if the factors we found when they were 12 and 13, such as those related to peers and family, still hold when they’re ages 17 and 18, because there’s going to be a huge amount of brain development that’s happening throughout this phase.”
The group that initiated substance use and the group that didn’t initiate substance use were not totally balanced, and sample sizes for some religious categories were small. Another study limitation was that the analytic approach didn’t account for multilevel data within the context of site and families.
Commenting on the findings, Kathleen Brady, MD, PhD, distinguished university professor and director, South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, said that the study is “critical and complex.” This, she said, is especially true as cannabis has become more accessible and potent, and as the federal government reportedly considers reclassifying it from a Schedule I drug (which includes highly dangerous, addictive substances with no medical use) to a Schedule III drug (which can be prescribed as a medication).
“The part that is the most frightening to me is the long-lasting effects that can happen when young people start using high-potency marijuana at an early age,” said Dr. Brady. “So, any information that we can give to parents, to teachers, to the public, and to doctors is important.”
She’s looking forward to getting more “incredibly important” information on substance use initiation as the study progresses and the teens get older.
The study received support from the National Institute on Alcohol Abuse and Alcoholism and the National Institute on Drug Abuse.
A version of this article appeared on Medscape.com.
, new research suggests.
Aside from sociodemographic parameters, risk factors for substance use initiation include prenatal exposure to substances, peer use of alcohol and nicotine, and problematic school behavior, among other things, the study showed.
The results show certain modifiable risk factors may play a role in preventing youth from starting to use substances, said study author ReJoyce Green, PhD, research assistant professor, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston.
“If we’re designing, say, a prevention program or an early intervention program, these are things that could make a difference, so let’s make sure we’re bringing them into the conversation.”
The findings were presented at the annual meeting of the American Psychiatric Association American Psychiatric Association (APA) and published online in The American Journal of Psychiatry.
Critical Risk Factors
Use of alcohol, tobacco, and cannabis often begins during adolescence. One recent survey showed that 23% of 13-year-olds reported using alcohol, 17% reported vaping nicotine, and 8% reported vaping cannabis. Other research links younger age at substance use initiation to a more rapid transition to substance use disorders and higher rates of psychiatric disorders.
Previous studies examining predictors of substance use initiation in the Adolescent Brain Cognitive Development (ABCD) Study dataset focused primarily on self-reported measures, but the current study also looked at models that include hormones and neurocognitive factors as well as neuroimaging.
This study included 6829, 9- and 10-year-olds from the ABCD Study who had never tried substances and were followed for 3 years.
A sophisticated statistical approach was used to examine 420 variables as predictors of substance use initiation. Initiation was defined as trying any nonprescribed substance by age 12 years. “That’s including a single sip of alcohol or puff of a cigarette,” said Dr. Green.
In addition to alcohol, nicotine, and cannabis, researchers looked at initiation of synthetic cannabinoids, cocaine, methamphetamine, and ketamine, among other substances.
Self-reported measures included demographic characteristics, self and peer involvement with substance use, parenting behaviors, mental and physical health, and culture and environmental factors.
The analytical approach used machine-learning algorithms to compare the ability of domains to identify the most critical risk factors. Magnitudes of coefficients were used to assess variable importance, with positive coefficients indicating greater likelihood of substance initiation and negative coefficients indicating lower likelihood of initiation.
By age 12 years, 14.4% of the children studied reported substance initiation. Alcohol was the substance most commonly initiated (365 individuals), followed by nicotine (94 individuals) and cannabis (40 individuals), with few or no children initiating other substances.
Both those who did and did not initiate substances were similarly aged, and most participants identified as White and non-Hispanic. But the substance-use group had a lower percentage of girls and higher percentage of White participants compared with the no-substance-use group.
The model with only self-reported data had similar accuracy in predicting substance use initiation (area under the curve [AUC], 0.67) as models that added resource-intensive measures such as neurocognitive tests and hormones (AUC, 0.67) and neuroimaging (AUC, 0.66).
Religious Predictors
The strongest predictors of substance use initiation were related to religion: Youths whose parents reported a religious preference for Mormonism were less likely to initiate substance use (coefficient, -0.87), whereas youths whose parents reported a religious preference for Judaism were more likely to initiate substance use (coefficient, 0.32).
The third top predictor was race: Black youths were less likely to initiate substance use (coefficient, -0.32). This was followed by youths whose parents reported a religious preference for Islam who were also less likely to initiate substance use (coefficient, -0.25).
The research examined over 15 different religious categories, “so we really tried to be expansive,” noted Dr. Green.
It’s unclear why some religions appeared to have a protective impact when it comes to substance use initiation whereas others have the opposite effect. Future research could perhaps identify which components of religiosity affect substance use initiation. If so, these aspects could be developed and incorporated into prevention and intervention programs, said Dr. Green.
Next on the list of most important predictors was being a part of a household with an income of $12,000-$15,999; these youths were less likely to initiate substance use (coefficient, 0.22).
Within the culture and environment domain, a history of detention or suspension was a top predictor of substance use initiation (coefficient, 0.20). Prenatal exposure to substance use was also a robust predictor in the physical health category (coefficient, 0.15).
Other predictors included: parents with less than a high school degree or GED (coefficient, -0.14), substance use availability (coefficient, 0.12), and age at baseline (coefficient, 0.12).
The study also showed that better cognitive functioning in selected domains (eg, cognitive control, attention, and language ability) is associated with a greater likelihood of substance use initiation.
Shaping Future Prevention
Applying these findings in clinical settings could help tailor prevention and early intervention efforts, said the authors. It might be prudent to allocate resources to collecting data related to self-, peer-, and familial-related factors, “which were more informative in predicting substance use initiation during late childhood and early adolescence in the present study,” they wrote.
Researchers will continue to track these children through to a 10-year follow-up, said Dr. Green. “I’m really curious to see if the factors we found when they were 12 and 13, such as those related to peers and family, still hold when they’re ages 17 and 18, because there’s going to be a huge amount of brain development that’s happening throughout this phase.”
The group that initiated substance use and the group that didn’t initiate substance use were not totally balanced, and sample sizes for some religious categories were small. Another study limitation was that the analytic approach didn’t account for multilevel data within the context of site and families.
Commenting on the findings, Kathleen Brady, MD, PhD, distinguished university professor and director, South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, said that the study is “critical and complex.” This, she said, is especially true as cannabis has become more accessible and potent, and as the federal government reportedly considers reclassifying it from a Schedule I drug (which includes highly dangerous, addictive substances with no medical use) to a Schedule III drug (which can be prescribed as a medication).
“The part that is the most frightening to me is the long-lasting effects that can happen when young people start using high-potency marijuana at an early age,” said Dr. Brady. “So, any information that we can give to parents, to teachers, to the public, and to doctors is important.”
She’s looking forward to getting more “incredibly important” information on substance use initiation as the study progresses and the teens get older.
The study received support from the National Institute on Alcohol Abuse and Alcoholism and the National Institute on Drug Abuse.
A version of this article appeared on Medscape.com.
FROM APA 2024
The Importance of Family Therapy for Transgender Youth
Recent newspaper headlines have focused almost exclusively on gender-affirming medical interventions for transgender youth (eg, puberty blockers and gender-affirming hormones like estrogen and testosterone). It is true that these are important treatments that are consistently tied to improvements in mental health. However, an additional powerful predictor of good mental health outcomes for transgender youth is parental support and acceptance.
It is essential that clinicians consider this when creating treatment plans for transgender youth. Free to Be: Understanding Kids & Gender Identity provides much more context for parents and providers, but I will highlight a few big takeaways here.
Sadly, they are often afraid to share their own struggles, despite working through these being essential for their children’s thriving and well-being. I have a few key tips for combating this issue. My upcoming book
Give Parents Their Own Space
Many parents have never encountered a transgender person in their life and have a lot of questions. At times, they may be “thinking out loud” and say things in passing that aren’t their final thoughts or opinions on a matter. This can, unfortunately, be damaging to their children. I often speak with adult transgender people whose parents said something they no longer believe (eg, “being trans is just a mental illness – you need therapy to fix it”), but these comments stick in the person’s mind and drive shame and self-esteem challenges later in life, sometimes for decades. Parents need to have a safe space, with a trained professional with expertise in gender, to work through their concerns and questions away from their children, so that when they talk to their kids about gender, they are presenting their fully formed thoughts.
Validate Parents’ Difficult Experiences
As pediatric providers, we are often focused on the difficult experiences of our transgender pediatric patients. However, their parents tend to be struggling as well, and that struggling predicts adverse mental health outcomes for their children.
The most common reaction a parent has upon learning their child is transgender is fear. It’s important to validate this fear (and other feelings that come out), so that parents know they can share with you what’s really going on in their minds.
There are some common themes we see for parents. Some are big fears: fear that their child will be victimized or fear that their child will later regret taking gender-affirming hormones and blame the parents for giving permission to take them. Parents often say they had a gendered vision for what their child’s future would be like, and their child coming out as transgender changes that (it can be helpful to gently remind parents that children almost never grow up exactly how we predict).
Some themes are more mundane but nonetheless distressing for parents, such as not wanting to throw away meaningful souvenirs from past vacations that have their child’s birth name on them. Clinicians can and should validate these thoughts and feelings, while also providing additional context and education. I often recommend the book Found in Transition by Pariah Hassouri, a pediatrician who goes through many of these common struggles after her daughter comes out as transgender.
Take a Three-Stage Approach When Adolescents Are Considering Gender-Affirming Medical Interventions
We recently outlined our process for conducting a biopsychosocial assessment for adolescents considering pubertal suppression for adolescent gender dysphoria in The Journal of the American Academy of Child & Adolescent Psychiatry, for those who want more detail on how to conduct these assessments. On the theme of supporting parents, I would highlight the value of taking a three-stage approach. In the first stage, a clinician meets with an adolescent alone to collect their gender history and discuss important considerations regarding the medical intervention. In stage two, the same information about the medical intervention is shared with parents, along with a summary of what the adolescent shared with the clinician (with the adolescent’s consent, of course). Often there will be some areas of disconnect. We make a list of these areas of disconnect that are addressed in stage three, in which the full family is brought together to get everyone on the same page and understanding each other’s perspectives.
Common disconnects include gender dysphoria seeming to “come out of nowhere” from the parents’ perspective, necessitating the young person to recount an early life experience in which they were harassed for expressing gender nonconformity, leading them to act stereotypically in line with their sex assigned at birth for years to avoid being “outed” and harassed more. Conversations around fertility preservation can be particularly complex. Young people and their parents also sometimes have different conceptualizations of gender identity and require a shared framework for talking about gender identity (which I offer in my forthcoming book). This list of family therapy topics can be diverse and highly dependent on the family. An additional resource for this phase of the family therapy is The Family Acceptance Project, which has created culturally tailored materials to help parents understand their sexual and gender minority children.
In summary, fostering healthy family functioning is essential for the care of transgender and gender diverse youth, and parents require support in addition to their children needing support. I encourage all gender providers to incorporate the vital element of family therapy into their practice.
Dr. Turban is director of the Gender Psychiatry Program at the University of California, San Francisco, where he is an assistant professor of child & adolescent psychiatry and affiliate faculty at the Philip R. Lee Institute for Health Policy Studies. He is on X @jack_turban.
Recent newspaper headlines have focused almost exclusively on gender-affirming medical interventions for transgender youth (eg, puberty blockers and gender-affirming hormones like estrogen and testosterone). It is true that these are important treatments that are consistently tied to improvements in mental health. However, an additional powerful predictor of good mental health outcomes for transgender youth is parental support and acceptance.
It is essential that clinicians consider this when creating treatment plans for transgender youth. Free to Be: Understanding Kids & Gender Identity provides much more context for parents and providers, but I will highlight a few big takeaways here.
Sadly, they are often afraid to share their own struggles, despite working through these being essential for their children’s thriving and well-being. I have a few key tips for combating this issue. My upcoming book
Give Parents Their Own Space
Many parents have never encountered a transgender person in their life and have a lot of questions. At times, they may be “thinking out loud” and say things in passing that aren’t their final thoughts or opinions on a matter. This can, unfortunately, be damaging to their children. I often speak with adult transgender people whose parents said something they no longer believe (eg, “being trans is just a mental illness – you need therapy to fix it”), but these comments stick in the person’s mind and drive shame and self-esteem challenges later in life, sometimes for decades. Parents need to have a safe space, with a trained professional with expertise in gender, to work through their concerns and questions away from their children, so that when they talk to their kids about gender, they are presenting their fully formed thoughts.
Validate Parents’ Difficult Experiences
As pediatric providers, we are often focused on the difficult experiences of our transgender pediatric patients. However, their parents tend to be struggling as well, and that struggling predicts adverse mental health outcomes for their children.
The most common reaction a parent has upon learning their child is transgender is fear. It’s important to validate this fear (and other feelings that come out), so that parents know they can share with you what’s really going on in their minds.
There are some common themes we see for parents. Some are big fears: fear that their child will be victimized or fear that their child will later regret taking gender-affirming hormones and blame the parents for giving permission to take them. Parents often say they had a gendered vision for what their child’s future would be like, and their child coming out as transgender changes that (it can be helpful to gently remind parents that children almost never grow up exactly how we predict).
Some themes are more mundane but nonetheless distressing for parents, such as not wanting to throw away meaningful souvenirs from past vacations that have their child’s birth name on them. Clinicians can and should validate these thoughts and feelings, while also providing additional context and education. I often recommend the book Found in Transition by Pariah Hassouri, a pediatrician who goes through many of these common struggles after her daughter comes out as transgender.
Take a Three-Stage Approach When Adolescents Are Considering Gender-Affirming Medical Interventions
We recently outlined our process for conducting a biopsychosocial assessment for adolescents considering pubertal suppression for adolescent gender dysphoria in The Journal of the American Academy of Child & Adolescent Psychiatry, for those who want more detail on how to conduct these assessments. On the theme of supporting parents, I would highlight the value of taking a three-stage approach. In the first stage, a clinician meets with an adolescent alone to collect their gender history and discuss important considerations regarding the medical intervention. In stage two, the same information about the medical intervention is shared with parents, along with a summary of what the adolescent shared with the clinician (with the adolescent’s consent, of course). Often there will be some areas of disconnect. We make a list of these areas of disconnect that are addressed in stage three, in which the full family is brought together to get everyone on the same page and understanding each other’s perspectives.
Common disconnects include gender dysphoria seeming to “come out of nowhere” from the parents’ perspective, necessitating the young person to recount an early life experience in which they were harassed for expressing gender nonconformity, leading them to act stereotypically in line with their sex assigned at birth for years to avoid being “outed” and harassed more. Conversations around fertility preservation can be particularly complex. Young people and their parents also sometimes have different conceptualizations of gender identity and require a shared framework for talking about gender identity (which I offer in my forthcoming book). This list of family therapy topics can be diverse and highly dependent on the family. An additional resource for this phase of the family therapy is The Family Acceptance Project, which has created culturally tailored materials to help parents understand their sexual and gender minority children.
In summary, fostering healthy family functioning is essential for the care of transgender and gender diverse youth, and parents require support in addition to their children needing support. I encourage all gender providers to incorporate the vital element of family therapy into their practice.
Dr. Turban is director of the Gender Psychiatry Program at the University of California, San Francisco, where he is an assistant professor of child & adolescent psychiatry and affiliate faculty at the Philip R. Lee Institute for Health Policy Studies. He is on X @jack_turban.
Recent newspaper headlines have focused almost exclusively on gender-affirming medical interventions for transgender youth (eg, puberty blockers and gender-affirming hormones like estrogen and testosterone). It is true that these are important treatments that are consistently tied to improvements in mental health. However, an additional powerful predictor of good mental health outcomes for transgender youth is parental support and acceptance.
It is essential that clinicians consider this when creating treatment plans for transgender youth. Free to Be: Understanding Kids & Gender Identity provides much more context for parents and providers, but I will highlight a few big takeaways here.
Sadly, they are often afraid to share their own struggles, despite working through these being essential for their children’s thriving and well-being. I have a few key tips for combating this issue. My upcoming book
Give Parents Their Own Space
Many parents have never encountered a transgender person in their life and have a lot of questions. At times, they may be “thinking out loud” and say things in passing that aren’t their final thoughts or opinions on a matter. This can, unfortunately, be damaging to their children. I often speak with adult transgender people whose parents said something they no longer believe (eg, “being trans is just a mental illness – you need therapy to fix it”), but these comments stick in the person’s mind and drive shame and self-esteem challenges later in life, sometimes for decades. Parents need to have a safe space, with a trained professional with expertise in gender, to work through their concerns and questions away from their children, so that when they talk to their kids about gender, they are presenting their fully formed thoughts.
Validate Parents’ Difficult Experiences
As pediatric providers, we are often focused on the difficult experiences of our transgender pediatric patients. However, their parents tend to be struggling as well, and that struggling predicts adverse mental health outcomes for their children.
The most common reaction a parent has upon learning their child is transgender is fear. It’s important to validate this fear (and other feelings that come out), so that parents know they can share with you what’s really going on in their minds.
There are some common themes we see for parents. Some are big fears: fear that their child will be victimized or fear that their child will later regret taking gender-affirming hormones and blame the parents for giving permission to take them. Parents often say they had a gendered vision for what their child’s future would be like, and their child coming out as transgender changes that (it can be helpful to gently remind parents that children almost never grow up exactly how we predict).
Some themes are more mundane but nonetheless distressing for parents, such as not wanting to throw away meaningful souvenirs from past vacations that have their child’s birth name on them. Clinicians can and should validate these thoughts and feelings, while also providing additional context and education. I often recommend the book Found in Transition by Pariah Hassouri, a pediatrician who goes through many of these common struggles after her daughter comes out as transgender.
Take a Three-Stage Approach When Adolescents Are Considering Gender-Affirming Medical Interventions
We recently outlined our process for conducting a biopsychosocial assessment for adolescents considering pubertal suppression for adolescent gender dysphoria in The Journal of the American Academy of Child & Adolescent Psychiatry, for those who want more detail on how to conduct these assessments. On the theme of supporting parents, I would highlight the value of taking a three-stage approach. In the first stage, a clinician meets with an adolescent alone to collect their gender history and discuss important considerations regarding the medical intervention. In stage two, the same information about the medical intervention is shared with parents, along with a summary of what the adolescent shared with the clinician (with the adolescent’s consent, of course). Often there will be some areas of disconnect. We make a list of these areas of disconnect that are addressed in stage three, in which the full family is brought together to get everyone on the same page and understanding each other’s perspectives.
Common disconnects include gender dysphoria seeming to “come out of nowhere” from the parents’ perspective, necessitating the young person to recount an early life experience in which they were harassed for expressing gender nonconformity, leading them to act stereotypically in line with their sex assigned at birth for years to avoid being “outed” and harassed more. Conversations around fertility preservation can be particularly complex. Young people and their parents also sometimes have different conceptualizations of gender identity and require a shared framework for talking about gender identity (which I offer in my forthcoming book). This list of family therapy topics can be diverse and highly dependent on the family. An additional resource for this phase of the family therapy is The Family Acceptance Project, which has created culturally tailored materials to help parents understand their sexual and gender minority children.
In summary, fostering healthy family functioning is essential for the care of transgender and gender diverse youth, and parents require support in addition to their children needing support. I encourage all gender providers to incorporate the vital element of family therapy into their practice.
Dr. Turban is director of the Gender Psychiatry Program at the University of California, San Francisco, where he is an assistant professor of child & adolescent psychiatry and affiliate faculty at the Philip R. Lee Institute for Health Policy Studies. He is on X @jack_turban.
Mental Health Worsens in Trans, Gender-Nonconforming Adults
TOPLINE:
Mental health distress increased disproportionately among transgender and gender-nonconforming US adults between 2014 and 2021 compared with their cisgender counterparts, a new study suggested. Investigators said the findings among an historically marginalized segment of society point to a need to address a growing inequality in mental health.
METHODOLOGY:
- Investigators drew on 2014-2021 US Behavioral Risk Factor Surveillance System (BRFSS) survey data, using logistic and ordinary least squares regression to document temporal trends in the transgender-cisgender disparity in self-reports of the number of poor mental health days in the past month and frequent mental distress.
- They included 43 states that implemented the optional sexual orientation and gender identity module in the BRFSS.
- Outcomes included the number of poor mental health days in the past month, as well as frequent mental distress (≥ 14 poor mental health days in the past month).
TAKEAWAY:
- Even in 2014, there was a discrepancy between cisgender and transgender and gender-nonconforming individuals in the reported mean of poor mental health days (3.68 vs 5.42).
- The size of this disparity, adjusted by differences in observable characteristics, increased by 2.75 days (95% CI, 0.58-4.91) over the study period.
- The inequality in mental health status between cisgender and transgender and nonconforming adults grew from 11.4% vs 18.9% in 2014, respectively, to 14.6% vs 32.9% in 2021, respectively.
IN PRACTICE:
“Our findings demonstrate sizable and worsening inequities in mental health across gender identity,” the authors wrote. “Mental health and primary care providers must be prepared to address the unique psychosocial needs of gender minority adults. Furthermore, our findings highlight the need for action to reduce these disparities.”
SOURCE:
Samuel Mann, PhD, of the RAND Corporation, was the corresponding author of the study. It was published online on April 10 in the American Journal of Public Health.
LIMITATIONS:
Measures of mental health were derived from self-reports. In addition, data from seven states were missing because these states did not include sexual orientation and gender identity in the BRFSS. And the BRFSS does not survey people who are unhoused, incarcerated, or in group living quarters.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
TOPLINE:
Mental health distress increased disproportionately among transgender and gender-nonconforming US adults between 2014 and 2021 compared with their cisgender counterparts, a new study suggested. Investigators said the findings among an historically marginalized segment of society point to a need to address a growing inequality in mental health.
METHODOLOGY:
- Investigators drew on 2014-2021 US Behavioral Risk Factor Surveillance System (BRFSS) survey data, using logistic and ordinary least squares regression to document temporal trends in the transgender-cisgender disparity in self-reports of the number of poor mental health days in the past month and frequent mental distress.
- They included 43 states that implemented the optional sexual orientation and gender identity module in the BRFSS.
- Outcomes included the number of poor mental health days in the past month, as well as frequent mental distress (≥ 14 poor mental health days in the past month).
TAKEAWAY:
- Even in 2014, there was a discrepancy between cisgender and transgender and gender-nonconforming individuals in the reported mean of poor mental health days (3.68 vs 5.42).
- The size of this disparity, adjusted by differences in observable characteristics, increased by 2.75 days (95% CI, 0.58-4.91) over the study period.
- The inequality in mental health status between cisgender and transgender and nonconforming adults grew from 11.4% vs 18.9% in 2014, respectively, to 14.6% vs 32.9% in 2021, respectively.
IN PRACTICE:
“Our findings demonstrate sizable and worsening inequities in mental health across gender identity,” the authors wrote. “Mental health and primary care providers must be prepared to address the unique psychosocial needs of gender minority adults. Furthermore, our findings highlight the need for action to reduce these disparities.”
SOURCE:
Samuel Mann, PhD, of the RAND Corporation, was the corresponding author of the study. It was published online on April 10 in the American Journal of Public Health.
LIMITATIONS:
Measures of mental health were derived from self-reports. In addition, data from seven states were missing because these states did not include sexual orientation and gender identity in the BRFSS. And the BRFSS does not survey people who are unhoused, incarcerated, or in group living quarters.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
TOPLINE:
Mental health distress increased disproportionately among transgender and gender-nonconforming US adults between 2014 and 2021 compared with their cisgender counterparts, a new study suggested. Investigators said the findings among an historically marginalized segment of society point to a need to address a growing inequality in mental health.
METHODOLOGY:
- Investigators drew on 2014-2021 US Behavioral Risk Factor Surveillance System (BRFSS) survey data, using logistic and ordinary least squares regression to document temporal trends in the transgender-cisgender disparity in self-reports of the number of poor mental health days in the past month and frequent mental distress.
- They included 43 states that implemented the optional sexual orientation and gender identity module in the BRFSS.
- Outcomes included the number of poor mental health days in the past month, as well as frequent mental distress (≥ 14 poor mental health days in the past month).
TAKEAWAY:
- Even in 2014, there was a discrepancy between cisgender and transgender and gender-nonconforming individuals in the reported mean of poor mental health days (3.68 vs 5.42).
- The size of this disparity, adjusted by differences in observable characteristics, increased by 2.75 days (95% CI, 0.58-4.91) over the study period.
- The inequality in mental health status between cisgender and transgender and nonconforming adults grew from 11.4% vs 18.9% in 2014, respectively, to 14.6% vs 32.9% in 2021, respectively.
IN PRACTICE:
“Our findings demonstrate sizable and worsening inequities in mental health across gender identity,” the authors wrote. “Mental health and primary care providers must be prepared to address the unique psychosocial needs of gender minority adults. Furthermore, our findings highlight the need for action to reduce these disparities.”
SOURCE:
Samuel Mann, PhD, of the RAND Corporation, was the corresponding author of the study. It was published online on April 10 in the American Journal of Public Health.
LIMITATIONS:
Measures of mental health were derived from self-reports. In addition, data from seven states were missing because these states did not include sexual orientation and gender identity in the BRFSS. And the BRFSS does not survey people who are unhoused, incarcerated, or in group living quarters.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
Whites Not the Predominant Victims of ‘Deaths of Despair’ Need to Address Inequality
Deaths of despair — defined as midlife deaths from suicide, drug overdose, and alcoholic liver disease — among African Americans surpassed the rate in White Americans in 2022, new research showed. In addition, the study also revealed that Native Americans had more than double the rate of both their Black and White counterparts that year.
These new findings, the investigators noted, counter a nearly 10-year-old narrative that was sparked by a seminal 2015 study. It showed that from 1999 to 2013 deaths of despair predominantly affected White individuals at a rate of 72.15 per 100,000 population — twice that of Black Americans.
The investigators of the 2015 study posited that such deaths in the group were linked to declining social and economic conditions and a perceived loss of status especially in White individuals without a college degree. However, the investigators noted that data for Native Americans were not included in the 2015 study or in the many follow-up analyses the research triggered.
The study was published online in JAMA Psychiatry.
Racial Differences
The current investigators assessed trends by race and ethnicity in deaths of despair in the years following the 2015 study when an increase in racial and ethnic inequality were reported for numerous causes of death.
The cross-sectional study used publicly available records from the US Centers for Disease Control and Prevention database WONDER to calculate midlife mortality in the United States from January 1999 to December 2022 to determine deaths from suicide, drug overdose, and alcoholic liver disease for White, Black, and Native American individuals aged 45-55 years. The data were then analyzed by race and ethnicity.
Results showed that deaths of despair in Black Americans (103.81 per 100,000) surpassed that of White Americans (102.63 per 100,000) in 2022. Furthermore, the rate in Black Americans tripled from 2013 to 2022 (from 36.24 to 103.81 per 100,000), with a sharp increase in such deaths from 2015 onward.
The rate for Native American and Alaska Native populations was the highest at 241.7 per 100,000 population in 2022.
It has been posited that the increase in rates of deaths of despair among White people is associated with declining social and economic conditions and a perceived loss of status, especially among White individuals without a college degree, the authors noted.
The initial seminal study became a focus of ongoing national discourse after results showed White individuals had the highest mortality rates from these causes at 72 per 100,000 people in 2013 — twice that of Black Americans.
They examined midlife mortality from suicide, drug overdose, and alcoholic liver disease between January 1999 and December 2022. The data were then analyzed by race and ethnicity.
The rate of midlife deaths from alcoholic liver disease among American Indian or Alaska Native individuals (109 per 100,000) was six times the rate of White individuals (18 per 100,000) in 2022.
Rates of midlife suicide deaths in 2022 remained elevated among Native American or Alaska Native (28 per 100,000) and White (25 per 100,000) individuals compared with Black individuals (9 per 100,000).
Increases in deaths of despair among Black and Native Americans are associated with differential access to safety resources in the context of an increasingly toxic illicit drug supply, increased rates of polysubstance use, worsening economic precarity, and stark disparities in access to mental health and substance use treatment programs, the investigators noted.
“The findings reinforce the notion that we need to invest in services that can address these issues, and ultimately, we need much more comprehensive access to low-barrier mental health care and substance use treatment in the US,” study investigator Joseph Friedman, PhD, of the David Geffen School of Medicine at UCLA, Los Angeles, California, said in a press release.
“We need to specifically make sure those treatments, services, and programs are implemented in a way that is accessible for communities of color and will actively work to address inequality,” Dr. Friedman added.
Potential study limitations include possible misclassification of race and ethnicity, which could underestimate observed inequalities, and the ecological design that precludes measuring causality of underlying factors, the researchers noted.
The investigators reported no relevant financial conflicts of interest.
A version of this article first appeared on Medscape.com.
Deaths of despair — defined as midlife deaths from suicide, drug overdose, and alcoholic liver disease — among African Americans surpassed the rate in White Americans in 2022, new research showed. In addition, the study also revealed that Native Americans had more than double the rate of both their Black and White counterparts that year.
These new findings, the investigators noted, counter a nearly 10-year-old narrative that was sparked by a seminal 2015 study. It showed that from 1999 to 2013 deaths of despair predominantly affected White individuals at a rate of 72.15 per 100,000 population — twice that of Black Americans.
The investigators of the 2015 study posited that such deaths in the group were linked to declining social and economic conditions and a perceived loss of status especially in White individuals without a college degree. However, the investigators noted that data for Native Americans were not included in the 2015 study or in the many follow-up analyses the research triggered.
The study was published online in JAMA Psychiatry.
Racial Differences
The current investigators assessed trends by race and ethnicity in deaths of despair in the years following the 2015 study when an increase in racial and ethnic inequality were reported for numerous causes of death.
The cross-sectional study used publicly available records from the US Centers for Disease Control and Prevention database WONDER to calculate midlife mortality in the United States from January 1999 to December 2022 to determine deaths from suicide, drug overdose, and alcoholic liver disease for White, Black, and Native American individuals aged 45-55 years. The data were then analyzed by race and ethnicity.
Results showed that deaths of despair in Black Americans (103.81 per 100,000) surpassed that of White Americans (102.63 per 100,000) in 2022. Furthermore, the rate in Black Americans tripled from 2013 to 2022 (from 36.24 to 103.81 per 100,000), with a sharp increase in such deaths from 2015 onward.
The rate for Native American and Alaska Native populations was the highest at 241.7 per 100,000 population in 2022.
It has been posited that the increase in rates of deaths of despair among White people is associated with declining social and economic conditions and a perceived loss of status, especially among White individuals without a college degree, the authors noted.
The initial seminal study became a focus of ongoing national discourse after results showed White individuals had the highest mortality rates from these causes at 72 per 100,000 people in 2013 — twice that of Black Americans.
They examined midlife mortality from suicide, drug overdose, and alcoholic liver disease between January 1999 and December 2022. The data were then analyzed by race and ethnicity.
The rate of midlife deaths from alcoholic liver disease among American Indian or Alaska Native individuals (109 per 100,000) was six times the rate of White individuals (18 per 100,000) in 2022.
Rates of midlife suicide deaths in 2022 remained elevated among Native American or Alaska Native (28 per 100,000) and White (25 per 100,000) individuals compared with Black individuals (9 per 100,000).
Increases in deaths of despair among Black and Native Americans are associated with differential access to safety resources in the context of an increasingly toxic illicit drug supply, increased rates of polysubstance use, worsening economic precarity, and stark disparities in access to mental health and substance use treatment programs, the investigators noted.
“The findings reinforce the notion that we need to invest in services that can address these issues, and ultimately, we need much more comprehensive access to low-barrier mental health care and substance use treatment in the US,” study investigator Joseph Friedman, PhD, of the David Geffen School of Medicine at UCLA, Los Angeles, California, said in a press release.
“We need to specifically make sure those treatments, services, and programs are implemented in a way that is accessible for communities of color and will actively work to address inequality,” Dr. Friedman added.
Potential study limitations include possible misclassification of race and ethnicity, which could underestimate observed inequalities, and the ecological design that precludes measuring causality of underlying factors, the researchers noted.
The investigators reported no relevant financial conflicts of interest.
A version of this article first appeared on Medscape.com.
Deaths of despair — defined as midlife deaths from suicide, drug overdose, and alcoholic liver disease — among African Americans surpassed the rate in White Americans in 2022, new research showed. In addition, the study also revealed that Native Americans had more than double the rate of both their Black and White counterparts that year.
These new findings, the investigators noted, counter a nearly 10-year-old narrative that was sparked by a seminal 2015 study. It showed that from 1999 to 2013 deaths of despair predominantly affected White individuals at a rate of 72.15 per 100,000 population — twice that of Black Americans.
The investigators of the 2015 study posited that such deaths in the group were linked to declining social and economic conditions and a perceived loss of status especially in White individuals without a college degree. However, the investigators noted that data for Native Americans were not included in the 2015 study or in the many follow-up analyses the research triggered.
The study was published online in JAMA Psychiatry.
Racial Differences
The current investigators assessed trends by race and ethnicity in deaths of despair in the years following the 2015 study when an increase in racial and ethnic inequality were reported for numerous causes of death.
The cross-sectional study used publicly available records from the US Centers for Disease Control and Prevention database WONDER to calculate midlife mortality in the United States from January 1999 to December 2022 to determine deaths from suicide, drug overdose, and alcoholic liver disease for White, Black, and Native American individuals aged 45-55 years. The data were then analyzed by race and ethnicity.
Results showed that deaths of despair in Black Americans (103.81 per 100,000) surpassed that of White Americans (102.63 per 100,000) in 2022. Furthermore, the rate in Black Americans tripled from 2013 to 2022 (from 36.24 to 103.81 per 100,000), with a sharp increase in such deaths from 2015 onward.
The rate for Native American and Alaska Native populations was the highest at 241.7 per 100,000 population in 2022.
It has been posited that the increase in rates of deaths of despair among White people is associated with declining social and economic conditions and a perceived loss of status, especially among White individuals without a college degree, the authors noted.
The initial seminal study became a focus of ongoing national discourse after results showed White individuals had the highest mortality rates from these causes at 72 per 100,000 people in 2013 — twice that of Black Americans.
They examined midlife mortality from suicide, drug overdose, and alcoholic liver disease between January 1999 and December 2022. The data were then analyzed by race and ethnicity.
The rate of midlife deaths from alcoholic liver disease among American Indian or Alaska Native individuals (109 per 100,000) was six times the rate of White individuals (18 per 100,000) in 2022.
Rates of midlife suicide deaths in 2022 remained elevated among Native American or Alaska Native (28 per 100,000) and White (25 per 100,000) individuals compared with Black individuals (9 per 100,000).
Increases in deaths of despair among Black and Native Americans are associated with differential access to safety resources in the context of an increasingly toxic illicit drug supply, increased rates of polysubstance use, worsening economic precarity, and stark disparities in access to mental health and substance use treatment programs, the investigators noted.
“The findings reinforce the notion that we need to invest in services that can address these issues, and ultimately, we need much more comprehensive access to low-barrier mental health care and substance use treatment in the US,” study investigator Joseph Friedman, PhD, of the David Geffen School of Medicine at UCLA, Los Angeles, California, said in a press release.
“We need to specifically make sure those treatments, services, and programs are implemented in a way that is accessible for communities of color and will actively work to address inequality,” Dr. Friedman added.
Potential study limitations include possible misclassification of race and ethnicity, which could underestimate observed inequalities, and the ecological design that precludes measuring causality of underlying factors, the researchers noted.
The investigators reported no relevant financial conflicts of interest.
A version of this article first appeared on Medscape.com.
Evaluation of a Stress, Coping, and Resourcefulness Program for VA Nurses During the COVID-19 Pandemic
Nurses are recognized among the most trusted professions in the United States.1 Since the time of Florence Nightingale, nurses have been challenged to provide care to patients and soldiers with complex needs, including acute and chronic physical illness, as well as mental health issues. Nurses have traditionally met those challenges with perseverance and creativity but have also experienced stress and burnout.
A shortage of nurses has been linked to many interrelated factors including the retirement of bedside caregivers and educators, diverse care settings, expanding roles for nurses, and nurse burnout.2-4 Therefore, there is a critical need to better understand of how nurses can be supported while they care for patients, cope with stress, and maintain positive personal and professional outcomes. The objective of this pilot project was to assess US Department of Veterans Affairs (VA) nurses’ levels of burnout and test an intervention to enhance resourcefulness skills during the COVID-19 pandemic.
Background
Stress has many definitions. Hans Selye described it as a biological response of the body to any demand.5,6 Occupational stress is a process that occurs in which work environment stressors result in the development of psychological, behavioral, or physiological effects that can contribute to health.6 Occupational stress has been observed as prevalent among nurses.6 In 1960, Menzies identified sources of stress among nurses that include complex decision-making within a dynamic environment.7 Since the mid-1980s, nurses’ stress at work has increased because of legal, accreditation, ethical issues, fiscal pressures, staffing shortages, and the increasing integration of technology associated with clinical care.8
Sustained stress can lead to emotional exhaustion or burnout, which has been associated with nursing turnover, lower patient satisfaction, and patient safety risk.2,9 An American Nurses Foundation survey reported that 51% of US nurses feel exhausted, 43% overwhelmed, and 36% anxious; 28% express willingness to leave the profession.2 Burnout has been described as a response to physical or emotional stress leading to exhaustion, self-doubt, cynicism, and ineffectiveness.10 Employees with burnout are more likely to leave their jobs, take sick leave, and suffer from depression and relationship problems,and it affects nearly half of all US nurses, especially among critical care, pediatric, and oncology specialities.10,11 It has been well documented that unmitigated stress can lead to burnout and contribute to nurses leaving bedside care and the health care profession.2,3 Several studies on nursing stress and burnout have focused on its prevalence and negative outcomes.4,7,9 However, few studies have addressed building resiliency and resourcefulness for nurses.10,12,13
A 2021 National Academy of Medicine report advocated a multilevel approach to managing burnout and building resiliency among nurses.14 Taylor further identified specific interventions, ranging from primary prevention to treatment.15 Primary prevention could include educating nurses on self-awareness, coping strategies, and communication skills. Screening for burnout and providing resources for support would be a secondary level of intervention. For nurses who experienced severe burnout symptoms and left the workplace, strategies are sorely needed to provide healing and a return-to-work plan.15 This may include adjusting nurse schedules and nursing roles (such as admitting/discharge nurse or resource nurse).
RESILIENCY AND RESOURCEFULNESS
Rushton and colleagues describe resiliency as the “ability to face adverse situations, remain focused, and continue to be optimistic for the future.”4 For nurses in complex health care systems, resiliency is associated with reduced turnover and symptoms of burnout and improved mental health. Humans are thought to have an innate resiliency potential that evolves over time and fluctuates depending on the context (eg, societal conditions, moral/ethical values, commitments).4 It is believed that resiliency can contribute to the development of new neuropathways that can be used to manage and cope with stress, prevent burnout, and improve quality of life. However, it appears these adaptations are individualized and contingent on situations, available resources, and changing priorities.16 Consequently, resiliency may be an essential tool for nurses to combat burnout in today’s complex health care systems.17
Although resilience and resourcefulness are conceptually related, each has distinctive features.18 Celinski frames resilience as transcendence and resourcefulness as transformation.19 Thus, while resilience suggests transcendence in terms of rising above, going beyond, exceeding, or excelling; resourcefulness reflects transformation, such as making changes in thoughts, feelings, behaviors, actions, or reactions. Resourcefulness has been conceptualized as an indicator of resilience.18
Resourcefulness comprises 2 dimensions, including the use of self-help strategies (personal resourcefulness) and seeking help from others (social resourcefulness), to self-regulate one’s thoughts, feelings, and behaviors to cope with high levels of stress, anxiety, or depression.18,20,21 Personal resourcefulness skills include the use of cognitive reframing, positive thinking, problem-solving, priority-setting, and planning ahead. Social resourcefulness involves actively seeking help from others. Formal sources of help include, but are not limited to, nursing and medical care practitioners and community organizations such as hospitals and clinics. Informal sources of help include family members, friends, peers, and coworkers.
During the COVID-19 pandemic, nurses were especially challenged to provide support for each other because of limited nursing staff and treatment options, increased complex patient assignments, shortages of supplies, and reduced support services. Many nurses, however, were able to find innovative, peer-supported strategies for coping.13 Nurses’ use of resourcefulness skills is believed to be indicative of their resilience. This pilot project aimed to identify and evaluate some of these strategies and resourcefulness skills.
INTERVENTION
This pilot study among VA Northeast Ohio Health Care System (VANEOHS) nurses was designed to assess nursing burnout and resourcefulness during the pandemic. Those who agreed to participate completed a baseline survey on burnout and resourcefulness. Participants agreed to review a training video on resourcefulness skills (eg, relying on and exchanging ideas with others, and reframing and using ‘positive self-talk’). They were encouraged to document their experience with familiar and new resourcefulness skills. Weekly reminders (eg, emails and phone messages) reminded and coached participants in their journey.
The study identified and implemented an existing Resourcefulness Training (RT) intervention, which was developed for informal family caregivers and found to be effective.22 We measured burnout and resourcefulness preintervention and postintervention.23 This survey and educational intervention were reviewed by the VANEOHS institutional review board and ruled exempt. The survey also gathered information on nurses' contact with individuals infected with COVID-19.
Despite the many staffing and resource challenges during the COVID-19 pandemic, a convenience sample of 12 nurses was recruited from nursing committees that continued to have scheduled meetings. These meetings allowed time to answer questions and provide information about the study. The majority of nurses queried declined to participate, citing no time, interest, or burnout. Participants completed a baseline survey, reviewed a 30-minute RT video, and tracked their experience for 28 days. Participants completed postintervention surveys 6 weeks after the video. Details of the survey and measures can be found in previous studies.20,21
RT is an online cognitive-behavioral intervention that teaches and reinforces personal (self-help) and social (help-seeking) resourcefulness skills that have not yet been tested in nurses or other health care professionals.22,24 The training included social resourcefulness (eg, from family, friends, others, and professionals) and personal resourcefulness (eg, problem-solving, positive thinking, self-control, organization skills). Participants were encouraged to review the videos as often as they preferred during these 4 weeks.
All 12 survey respondents were female and had received COVID-19 vaccinations according to the federal policy at the time of data collection. The number of patients cared for with COVID-19 infections varied widely (range, 1-1000). The baseline burnout score ranged from 1 (no burnout) to 3 (1 symptom of burnout, such as physical and emotional exhaustion), with a mean score of 2.2. In the follow-up survey, the mean score was 2.0. At baseline, participants reported a variety of activities to manage stress and burnout, including times with friends and family, engaging in hobbies, and prayer. Postintervention, some participants mentioned using skills learned from RT, including reframing the situation positively by refocusing and putting stressors in perspective (Table 1).
DISCUSSION
Recent American Nurses Association efforts to develop organizational and professional goals include the importance of nurses to recognize and manage stress to prevent burnout.25 The American Nurses Association Code of Ethics notes that nurses have the same duties to care for themselves as they do for others.25 Nurses have demonstrated the ability to adapt and remain resilient during stressful times. VA nurses are a resourceful group. Many used resourcefulness skills to manage stress and burnout even before the pandemic. For example, nurses identified using family/friends for support and validation, as well as prayer and meditation. Some of the new activities may have been influenced/inspired by RT, such as organizing schedules for problem-solving and distraction.
Relying on family and peers emerged as an essential resourcefulness skill. Support from peers—battle buddies—has been recognized as a key strategy among combat soldiers. A battle buddy is paired with a fellow soldier for support to keep each other informed about key instructions and information. This promotes cooperative problem-solving. Outcomes associated with battle buddies include increased morale and confidence, and decreased stress.25 Over time, it is hoped that these coaching/mentoring relationships will result in enhanced leadership skills. Battle buddy strategies are currently being adapted into health care environments.12,26 Such programs need to be further evaluated and information disseminated.
Findings from this pilot program support the use of interventions such as RT to decrease burnout among nurses. This study suggests that RT should be tested in a larger more representative sample to determine efficacy.
Limitations
This pilot study was limited by its small sample size, single facility, and female-only participants; the findings are not generalizable. Nurses were recruited from VA nursing committees and may not be representative of nurses in the general population. In addition, the RT intervention may require a longer time commitment to adequately determine efficacy. Another limitation was that personal or family exposure to COVID-19 was not measured, but may be a confounding variable. An additional limitation may have been the time interval. A baseline survey was completed prior to watching the teaching video. Daily logs were to be completed for 28 days. A post survey followed at 6 weeks. It is possible that there was insufficient time for the nurses to have the opportunity to use their resourcefulness skills within the short time frame of the study. While it supports the need for further studies, findings should be interpreted cautiously and not generalized. It may be premature based on these findings to conclude that the intervention will be effective for other populations. Further studies are needed to assess nurses’ preferences for healthy coping mechanisms, including RT.
Conclusions
As the nursing shortage continues, efforts to support diverse, innovative coping strategies remain a priority postpandemic. Nurses must be vigilant in appraising and managing their ability to cope and adapt to individual stress, while also being aware of the stress their colleagues are experiencing. Educational institutions, professional organizations, and health care facilities must strive to educate and support nurses to identify not only stress, but healthy coping mechanisms.
Acknowledgments
This work was supported by the US Department of Veterans Affairs Central Office rapid response COVID-19 funding initiative, the Veteran Affairs Northeast Ohio Health Care System, and Geriatric Research, Education, and Clinical Center (GRECC). The Resourcefulness Scale, Resourcefulness Skills Scale, and the Resourcefulness Training intervention are copyrighted and were used with permission of the copyright holder, Jaclene A. Zauszniewski, MD.
1. Walker A. Nursing ranked as the most trusted profession for 22nd year in a row. January 23, 2024. Accessed January 31, 2024. https://nurse.org/articles/nursing-ranked-most-honest-profession
2. Mental health and wellness survey 1. American Nurses Foundation. August 2020. Accessed January 31, 2024. https://www.nursingworld.org/practice-policy/work-environment/health-safety/disaster-preparedness/coronavirus/what-you-need-to-know/mental-health-and-wellbeing-survey/
3. Healthy nurse, healthy nation. American Nurses Association. May 1, 2017. Accessed January 31, 2024. https://www.healthynursehealthynation.org/
4. Rushton CH, Batcheller J, Schroeder K, Donohue P. Burnout and resilience among nurses practicing in high-intensity settings. Am J Crit Care. 2015;24(5):412-420. doi:10.4037/ajcc2015291
5. Selye HA. History and general outline of the stress concept. Stress in Health and Disease. Butterworths; 1976:3-34.
6. Levy BS, Wegman DH, Baron SL, Sokas RK. Recognizing and preventing occupational and environmental disease and injury. Occupational and Environmental Health: Recognizing and Preventing Disease and Injury. 6th ed. Oxford University Press; 2011:59-77.
7. Menzies IEP. Nurses under stress. Int Nurs Rev. 1960;7:9-16.
8. Jennings BM. Turbulence. In: Hughes RG, ed. Advances in Patient Safety and Quality: An Evidence-Based Handbook for Nurses. 3rd ed. AHRQ Publication; 2007;2;193-202.
9. Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002;288(16):1987-1993. doi:10.1001/jama.288.16.1987
10. Magtibay DL, Chesak SS, Coughlin K, Sood A. Decreasing stress and burnout in nurses: efficacy of blended learning with stress management and resilience training program. J Nurs Adm. 2017;47(7-8):391-395. doi:10.1097/NNA.0000000000000501
11. Halbesleben JR, Wakefield BJ, Wakefield DS, Cooper LB. Nurse burnout and patient safety outcomes: nurse safety perception versus reporting behavior. West J Nurs Res. 2008;30(5):560-577. doi:10.1177/0193945907311322
12. Sherman RO. Creating a Battle Buddy program. September 2, 2021. Accessed September 27, 2022. https://www.emergingrnleader.com/creating-a-battle-buddy-program
13. Godfrey KM, Scott SD. At the heart of the pandemic: nursing peer support. Nurse Leader. 2021:19(2),188-193. doi:10.1016/j.mnl.2020.09.006
14. Wakefield M, Williams DR, Le Menestrel S, and Flaubert JL, Editors; Committee on the future of nursing 2020 2030; National Academy of Medicine; National Academies of Sciences, Engineering, and Medicine Institute of Medicine 2008. Retooling for an Aging America: Building the Health Care Workforce. Washington, DC: The National Academies Press. doi:10.17226/12089
15. Taylor RA. Contemporary issues: resilience training alone is an incomplete intervention. Nurs Educ Today. 2019;78:10-13. doi:10.1016/j.nedt.2019.03.014
16. Hofmann SG, Gómez AF. Mindfulness-based interventions for anxiety and depression. Psychiatr Clin North Am. 2017;40(4):739-749. doi:10.1016/j.psc.2017.08.008
17. Rutter M. Resilience in the face of adversity. Protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598-611. doi:10.1192/bjp.147.6.598
18. Zauszniewski JA, Bekhet AK, Suresky MJ. Indicators of resilience in family members of persons with serious mental Illness. Psychiatr Clin North Am. 2015;38(1):131-146. doi:10.1016/j.psc.2014.11.009
19. Celinski MJ. Framing resilience as transcendence and resourcefulness as transformation. In: Celinski MJ, Gow KM, eds. Continuity Versus Creative Response to Challenge: The Primacy of Resilience and Resourcefulness in Life and Therapy. Nova Science Pub Inc; 2011:11-30.
20. Zauszniewski JA, Lai CY, Tithiphontumrong S. Development and testing of the Resourcefulness Scale for Older Adults. J Nurs Meas. 2006:14(1):57-68. doi:10.1891.jnum.14.1.57
21. Zauszniewski JA, Bekhet AK. Measuring use of resourcefulness skills: psychometric testing of a new scale. ISRN Nurs. 2011;2011:787363. doi:10.5402/2011/787363
22. Zauszniewski JA, Lekhak N, Burant CJ, Variath M, Morris DL. preliminary evidence for effectiveness of resourcefulness training for women dementia caregivers. J Fam Med. 2016:3(5):1069.
23. Dolan ED, Mohr D, Lempa M, et al. Using a single item to measure burnout in primary care staff: a psychometric evaluation. J Gen Intern Med. 2015;30(5):582-587. doi:10.1007/s11606-014-3112-6
24. Zauszniewski JA Resourcefulness. In: Fitzpatrick JJ, ed. Encyclopedia of Nursing Research. 4th ed. 2018:632-634.
25. Combating Stress. American Nurses Association. Accessed November 28, 2022. https://www.nursingworld.org/practice-policy/work-environment/health-safety/combating-stress/
26. Albott CS, Wozniak JR, McGlinch BP, Wall MH, Gold BS, Vinogradov S. Battle Buddies: Rapid deployment of a psychological resilience intervention for health care workers during the COVID-19 pandemic. Anesth Analg. 2020;131(1):43-54. doi:10.1213/ANE.0000000000004912
Nurses are recognized among the most trusted professions in the United States.1 Since the time of Florence Nightingale, nurses have been challenged to provide care to patients and soldiers with complex needs, including acute and chronic physical illness, as well as mental health issues. Nurses have traditionally met those challenges with perseverance and creativity but have also experienced stress and burnout.
A shortage of nurses has been linked to many interrelated factors including the retirement of bedside caregivers and educators, diverse care settings, expanding roles for nurses, and nurse burnout.2-4 Therefore, there is a critical need to better understand of how nurses can be supported while they care for patients, cope with stress, and maintain positive personal and professional outcomes. The objective of this pilot project was to assess US Department of Veterans Affairs (VA) nurses’ levels of burnout and test an intervention to enhance resourcefulness skills during the COVID-19 pandemic.
Background
Stress has many definitions. Hans Selye described it as a biological response of the body to any demand.5,6 Occupational stress is a process that occurs in which work environment stressors result in the development of psychological, behavioral, or physiological effects that can contribute to health.6 Occupational stress has been observed as prevalent among nurses.6 In 1960, Menzies identified sources of stress among nurses that include complex decision-making within a dynamic environment.7 Since the mid-1980s, nurses’ stress at work has increased because of legal, accreditation, ethical issues, fiscal pressures, staffing shortages, and the increasing integration of technology associated with clinical care.8
Sustained stress can lead to emotional exhaustion or burnout, which has been associated with nursing turnover, lower patient satisfaction, and patient safety risk.2,9 An American Nurses Foundation survey reported that 51% of US nurses feel exhausted, 43% overwhelmed, and 36% anxious; 28% express willingness to leave the profession.2 Burnout has been described as a response to physical or emotional stress leading to exhaustion, self-doubt, cynicism, and ineffectiveness.10 Employees with burnout are more likely to leave their jobs, take sick leave, and suffer from depression and relationship problems,and it affects nearly half of all US nurses, especially among critical care, pediatric, and oncology specialities.10,11 It has been well documented that unmitigated stress can lead to burnout and contribute to nurses leaving bedside care and the health care profession.2,3 Several studies on nursing stress and burnout have focused on its prevalence and negative outcomes.4,7,9 However, few studies have addressed building resiliency and resourcefulness for nurses.10,12,13
A 2021 National Academy of Medicine report advocated a multilevel approach to managing burnout and building resiliency among nurses.14 Taylor further identified specific interventions, ranging from primary prevention to treatment.15 Primary prevention could include educating nurses on self-awareness, coping strategies, and communication skills. Screening for burnout and providing resources for support would be a secondary level of intervention. For nurses who experienced severe burnout symptoms and left the workplace, strategies are sorely needed to provide healing and a return-to-work plan.15 This may include adjusting nurse schedules and nursing roles (such as admitting/discharge nurse or resource nurse).
RESILIENCY AND RESOURCEFULNESS
Rushton and colleagues describe resiliency as the “ability to face adverse situations, remain focused, and continue to be optimistic for the future.”4 For nurses in complex health care systems, resiliency is associated with reduced turnover and symptoms of burnout and improved mental health. Humans are thought to have an innate resiliency potential that evolves over time and fluctuates depending on the context (eg, societal conditions, moral/ethical values, commitments).4 It is believed that resiliency can contribute to the development of new neuropathways that can be used to manage and cope with stress, prevent burnout, and improve quality of life. However, it appears these adaptations are individualized and contingent on situations, available resources, and changing priorities.16 Consequently, resiliency may be an essential tool for nurses to combat burnout in today’s complex health care systems.17
Although resilience and resourcefulness are conceptually related, each has distinctive features.18 Celinski frames resilience as transcendence and resourcefulness as transformation.19 Thus, while resilience suggests transcendence in terms of rising above, going beyond, exceeding, or excelling; resourcefulness reflects transformation, such as making changes in thoughts, feelings, behaviors, actions, or reactions. Resourcefulness has been conceptualized as an indicator of resilience.18
Resourcefulness comprises 2 dimensions, including the use of self-help strategies (personal resourcefulness) and seeking help from others (social resourcefulness), to self-regulate one’s thoughts, feelings, and behaviors to cope with high levels of stress, anxiety, or depression.18,20,21 Personal resourcefulness skills include the use of cognitive reframing, positive thinking, problem-solving, priority-setting, and planning ahead. Social resourcefulness involves actively seeking help from others. Formal sources of help include, but are not limited to, nursing and medical care practitioners and community organizations such as hospitals and clinics. Informal sources of help include family members, friends, peers, and coworkers.
During the COVID-19 pandemic, nurses were especially challenged to provide support for each other because of limited nursing staff and treatment options, increased complex patient assignments, shortages of supplies, and reduced support services. Many nurses, however, were able to find innovative, peer-supported strategies for coping.13 Nurses’ use of resourcefulness skills is believed to be indicative of their resilience. This pilot project aimed to identify and evaluate some of these strategies and resourcefulness skills.
INTERVENTION
This pilot study among VA Northeast Ohio Health Care System (VANEOHS) nurses was designed to assess nursing burnout and resourcefulness during the pandemic. Those who agreed to participate completed a baseline survey on burnout and resourcefulness. Participants agreed to review a training video on resourcefulness skills (eg, relying on and exchanging ideas with others, and reframing and using ‘positive self-talk’). They were encouraged to document their experience with familiar and new resourcefulness skills. Weekly reminders (eg, emails and phone messages) reminded and coached participants in their journey.
The study identified and implemented an existing Resourcefulness Training (RT) intervention, which was developed for informal family caregivers and found to be effective.22 We measured burnout and resourcefulness preintervention and postintervention.23 This survey and educational intervention were reviewed by the VANEOHS institutional review board and ruled exempt. The survey also gathered information on nurses' contact with individuals infected with COVID-19.
Despite the many staffing and resource challenges during the COVID-19 pandemic, a convenience sample of 12 nurses was recruited from nursing committees that continued to have scheduled meetings. These meetings allowed time to answer questions and provide information about the study. The majority of nurses queried declined to participate, citing no time, interest, or burnout. Participants completed a baseline survey, reviewed a 30-minute RT video, and tracked their experience for 28 days. Participants completed postintervention surveys 6 weeks after the video. Details of the survey and measures can be found in previous studies.20,21
RT is an online cognitive-behavioral intervention that teaches and reinforces personal (self-help) and social (help-seeking) resourcefulness skills that have not yet been tested in nurses or other health care professionals.22,24 The training included social resourcefulness (eg, from family, friends, others, and professionals) and personal resourcefulness (eg, problem-solving, positive thinking, self-control, organization skills). Participants were encouraged to review the videos as often as they preferred during these 4 weeks.
All 12 survey respondents were female and had received COVID-19 vaccinations according to the federal policy at the time of data collection. The number of patients cared for with COVID-19 infections varied widely (range, 1-1000). The baseline burnout score ranged from 1 (no burnout) to 3 (1 symptom of burnout, such as physical and emotional exhaustion), with a mean score of 2.2. In the follow-up survey, the mean score was 2.0. At baseline, participants reported a variety of activities to manage stress and burnout, including times with friends and family, engaging in hobbies, and prayer. Postintervention, some participants mentioned using skills learned from RT, including reframing the situation positively by refocusing and putting stressors in perspective (Table 1).
DISCUSSION
Recent American Nurses Association efforts to develop organizational and professional goals include the importance of nurses to recognize and manage stress to prevent burnout.25 The American Nurses Association Code of Ethics notes that nurses have the same duties to care for themselves as they do for others.25 Nurses have demonstrated the ability to adapt and remain resilient during stressful times. VA nurses are a resourceful group. Many used resourcefulness skills to manage stress and burnout even before the pandemic. For example, nurses identified using family/friends for support and validation, as well as prayer and meditation. Some of the new activities may have been influenced/inspired by RT, such as organizing schedules for problem-solving and distraction.
Relying on family and peers emerged as an essential resourcefulness skill. Support from peers—battle buddies—has been recognized as a key strategy among combat soldiers. A battle buddy is paired with a fellow soldier for support to keep each other informed about key instructions and information. This promotes cooperative problem-solving. Outcomes associated with battle buddies include increased morale and confidence, and decreased stress.25 Over time, it is hoped that these coaching/mentoring relationships will result in enhanced leadership skills. Battle buddy strategies are currently being adapted into health care environments.12,26 Such programs need to be further evaluated and information disseminated.
Findings from this pilot program support the use of interventions such as RT to decrease burnout among nurses. This study suggests that RT should be tested in a larger more representative sample to determine efficacy.
Limitations
This pilot study was limited by its small sample size, single facility, and female-only participants; the findings are not generalizable. Nurses were recruited from VA nursing committees and may not be representative of nurses in the general population. In addition, the RT intervention may require a longer time commitment to adequately determine efficacy. Another limitation was that personal or family exposure to COVID-19 was not measured, but may be a confounding variable. An additional limitation may have been the time interval. A baseline survey was completed prior to watching the teaching video. Daily logs were to be completed for 28 days. A post survey followed at 6 weeks. It is possible that there was insufficient time for the nurses to have the opportunity to use their resourcefulness skills within the short time frame of the study. While it supports the need for further studies, findings should be interpreted cautiously and not generalized. It may be premature based on these findings to conclude that the intervention will be effective for other populations. Further studies are needed to assess nurses’ preferences for healthy coping mechanisms, including RT.
Conclusions
As the nursing shortage continues, efforts to support diverse, innovative coping strategies remain a priority postpandemic. Nurses must be vigilant in appraising and managing their ability to cope and adapt to individual stress, while also being aware of the stress their colleagues are experiencing. Educational institutions, professional organizations, and health care facilities must strive to educate and support nurses to identify not only stress, but healthy coping mechanisms.
Acknowledgments
This work was supported by the US Department of Veterans Affairs Central Office rapid response COVID-19 funding initiative, the Veteran Affairs Northeast Ohio Health Care System, and Geriatric Research, Education, and Clinical Center (GRECC). The Resourcefulness Scale, Resourcefulness Skills Scale, and the Resourcefulness Training intervention are copyrighted and were used with permission of the copyright holder, Jaclene A. Zauszniewski, MD.
Nurses are recognized among the most trusted professions in the United States.1 Since the time of Florence Nightingale, nurses have been challenged to provide care to patients and soldiers with complex needs, including acute and chronic physical illness, as well as mental health issues. Nurses have traditionally met those challenges with perseverance and creativity but have also experienced stress and burnout.
A shortage of nurses has been linked to many interrelated factors including the retirement of bedside caregivers and educators, diverse care settings, expanding roles for nurses, and nurse burnout.2-4 Therefore, there is a critical need to better understand of how nurses can be supported while they care for patients, cope with stress, and maintain positive personal and professional outcomes. The objective of this pilot project was to assess US Department of Veterans Affairs (VA) nurses’ levels of burnout and test an intervention to enhance resourcefulness skills during the COVID-19 pandemic.
Background
Stress has many definitions. Hans Selye described it as a biological response of the body to any demand.5,6 Occupational stress is a process that occurs in which work environment stressors result in the development of psychological, behavioral, or physiological effects that can contribute to health.6 Occupational stress has been observed as prevalent among nurses.6 In 1960, Menzies identified sources of stress among nurses that include complex decision-making within a dynamic environment.7 Since the mid-1980s, nurses’ stress at work has increased because of legal, accreditation, ethical issues, fiscal pressures, staffing shortages, and the increasing integration of technology associated with clinical care.8
Sustained stress can lead to emotional exhaustion or burnout, which has been associated with nursing turnover, lower patient satisfaction, and patient safety risk.2,9 An American Nurses Foundation survey reported that 51% of US nurses feel exhausted, 43% overwhelmed, and 36% anxious; 28% express willingness to leave the profession.2 Burnout has been described as a response to physical or emotional stress leading to exhaustion, self-doubt, cynicism, and ineffectiveness.10 Employees with burnout are more likely to leave their jobs, take sick leave, and suffer from depression and relationship problems,and it affects nearly half of all US nurses, especially among critical care, pediatric, and oncology specialities.10,11 It has been well documented that unmitigated stress can lead to burnout and contribute to nurses leaving bedside care and the health care profession.2,3 Several studies on nursing stress and burnout have focused on its prevalence and negative outcomes.4,7,9 However, few studies have addressed building resiliency and resourcefulness for nurses.10,12,13
A 2021 National Academy of Medicine report advocated a multilevel approach to managing burnout and building resiliency among nurses.14 Taylor further identified specific interventions, ranging from primary prevention to treatment.15 Primary prevention could include educating nurses on self-awareness, coping strategies, and communication skills. Screening for burnout and providing resources for support would be a secondary level of intervention. For nurses who experienced severe burnout symptoms and left the workplace, strategies are sorely needed to provide healing and a return-to-work plan.15 This may include adjusting nurse schedules and nursing roles (such as admitting/discharge nurse or resource nurse).
RESILIENCY AND RESOURCEFULNESS
Rushton and colleagues describe resiliency as the “ability to face adverse situations, remain focused, and continue to be optimistic for the future.”4 For nurses in complex health care systems, resiliency is associated with reduced turnover and symptoms of burnout and improved mental health. Humans are thought to have an innate resiliency potential that evolves over time and fluctuates depending on the context (eg, societal conditions, moral/ethical values, commitments).4 It is believed that resiliency can contribute to the development of new neuropathways that can be used to manage and cope with stress, prevent burnout, and improve quality of life. However, it appears these adaptations are individualized and contingent on situations, available resources, and changing priorities.16 Consequently, resiliency may be an essential tool for nurses to combat burnout in today’s complex health care systems.17
Although resilience and resourcefulness are conceptually related, each has distinctive features.18 Celinski frames resilience as transcendence and resourcefulness as transformation.19 Thus, while resilience suggests transcendence in terms of rising above, going beyond, exceeding, or excelling; resourcefulness reflects transformation, such as making changes in thoughts, feelings, behaviors, actions, or reactions. Resourcefulness has been conceptualized as an indicator of resilience.18
Resourcefulness comprises 2 dimensions, including the use of self-help strategies (personal resourcefulness) and seeking help from others (social resourcefulness), to self-regulate one’s thoughts, feelings, and behaviors to cope with high levels of stress, anxiety, or depression.18,20,21 Personal resourcefulness skills include the use of cognitive reframing, positive thinking, problem-solving, priority-setting, and planning ahead. Social resourcefulness involves actively seeking help from others. Formal sources of help include, but are not limited to, nursing and medical care practitioners and community organizations such as hospitals and clinics. Informal sources of help include family members, friends, peers, and coworkers.
During the COVID-19 pandemic, nurses were especially challenged to provide support for each other because of limited nursing staff and treatment options, increased complex patient assignments, shortages of supplies, and reduced support services. Many nurses, however, were able to find innovative, peer-supported strategies for coping.13 Nurses’ use of resourcefulness skills is believed to be indicative of their resilience. This pilot project aimed to identify and evaluate some of these strategies and resourcefulness skills.
INTERVENTION
This pilot study among VA Northeast Ohio Health Care System (VANEOHS) nurses was designed to assess nursing burnout and resourcefulness during the pandemic. Those who agreed to participate completed a baseline survey on burnout and resourcefulness. Participants agreed to review a training video on resourcefulness skills (eg, relying on and exchanging ideas with others, and reframing and using ‘positive self-talk’). They were encouraged to document their experience with familiar and new resourcefulness skills. Weekly reminders (eg, emails and phone messages) reminded and coached participants in their journey.
The study identified and implemented an existing Resourcefulness Training (RT) intervention, which was developed for informal family caregivers and found to be effective.22 We measured burnout and resourcefulness preintervention and postintervention.23 This survey and educational intervention were reviewed by the VANEOHS institutional review board and ruled exempt. The survey also gathered information on nurses' contact with individuals infected with COVID-19.
Despite the many staffing and resource challenges during the COVID-19 pandemic, a convenience sample of 12 nurses was recruited from nursing committees that continued to have scheduled meetings. These meetings allowed time to answer questions and provide information about the study. The majority of nurses queried declined to participate, citing no time, interest, or burnout. Participants completed a baseline survey, reviewed a 30-minute RT video, and tracked their experience for 28 days. Participants completed postintervention surveys 6 weeks after the video. Details of the survey and measures can be found in previous studies.20,21
RT is an online cognitive-behavioral intervention that teaches and reinforces personal (self-help) and social (help-seeking) resourcefulness skills that have not yet been tested in nurses or other health care professionals.22,24 The training included social resourcefulness (eg, from family, friends, others, and professionals) and personal resourcefulness (eg, problem-solving, positive thinking, self-control, organization skills). Participants were encouraged to review the videos as often as they preferred during these 4 weeks.
All 12 survey respondents were female and had received COVID-19 vaccinations according to the federal policy at the time of data collection. The number of patients cared for with COVID-19 infections varied widely (range, 1-1000). The baseline burnout score ranged from 1 (no burnout) to 3 (1 symptom of burnout, such as physical and emotional exhaustion), with a mean score of 2.2. In the follow-up survey, the mean score was 2.0. At baseline, participants reported a variety of activities to manage stress and burnout, including times with friends and family, engaging in hobbies, and prayer. Postintervention, some participants mentioned using skills learned from RT, including reframing the situation positively by refocusing and putting stressors in perspective (Table 1).
DISCUSSION
Recent American Nurses Association efforts to develop organizational and professional goals include the importance of nurses to recognize and manage stress to prevent burnout.25 The American Nurses Association Code of Ethics notes that nurses have the same duties to care for themselves as they do for others.25 Nurses have demonstrated the ability to adapt and remain resilient during stressful times. VA nurses are a resourceful group. Many used resourcefulness skills to manage stress and burnout even before the pandemic. For example, nurses identified using family/friends for support and validation, as well as prayer and meditation. Some of the new activities may have been influenced/inspired by RT, such as organizing schedules for problem-solving and distraction.
Relying on family and peers emerged as an essential resourcefulness skill. Support from peers—battle buddies—has been recognized as a key strategy among combat soldiers. A battle buddy is paired with a fellow soldier for support to keep each other informed about key instructions and information. This promotes cooperative problem-solving. Outcomes associated with battle buddies include increased morale and confidence, and decreased stress.25 Over time, it is hoped that these coaching/mentoring relationships will result in enhanced leadership skills. Battle buddy strategies are currently being adapted into health care environments.12,26 Such programs need to be further evaluated and information disseminated.
Findings from this pilot program support the use of interventions such as RT to decrease burnout among nurses. This study suggests that RT should be tested in a larger more representative sample to determine efficacy.
Limitations
This pilot study was limited by its small sample size, single facility, and female-only participants; the findings are not generalizable. Nurses were recruited from VA nursing committees and may not be representative of nurses in the general population. In addition, the RT intervention may require a longer time commitment to adequately determine efficacy. Another limitation was that personal or family exposure to COVID-19 was not measured, but may be a confounding variable. An additional limitation may have been the time interval. A baseline survey was completed prior to watching the teaching video. Daily logs were to be completed for 28 days. A post survey followed at 6 weeks. It is possible that there was insufficient time for the nurses to have the opportunity to use their resourcefulness skills within the short time frame of the study. While it supports the need for further studies, findings should be interpreted cautiously and not generalized. It may be premature based on these findings to conclude that the intervention will be effective for other populations. Further studies are needed to assess nurses’ preferences for healthy coping mechanisms, including RT.
Conclusions
As the nursing shortage continues, efforts to support diverse, innovative coping strategies remain a priority postpandemic. Nurses must be vigilant in appraising and managing their ability to cope and adapt to individual stress, while also being aware of the stress their colleagues are experiencing. Educational institutions, professional organizations, and health care facilities must strive to educate and support nurses to identify not only stress, but healthy coping mechanisms.
Acknowledgments
This work was supported by the US Department of Veterans Affairs Central Office rapid response COVID-19 funding initiative, the Veteran Affairs Northeast Ohio Health Care System, and Geriatric Research, Education, and Clinical Center (GRECC). The Resourcefulness Scale, Resourcefulness Skills Scale, and the Resourcefulness Training intervention are copyrighted and were used with permission of the copyright holder, Jaclene A. Zauszniewski, MD.
1. Walker A. Nursing ranked as the most trusted profession for 22nd year in a row. January 23, 2024. Accessed January 31, 2024. https://nurse.org/articles/nursing-ranked-most-honest-profession
2. Mental health and wellness survey 1. American Nurses Foundation. August 2020. Accessed January 31, 2024. https://www.nursingworld.org/practice-policy/work-environment/health-safety/disaster-preparedness/coronavirus/what-you-need-to-know/mental-health-and-wellbeing-survey/
3. Healthy nurse, healthy nation. American Nurses Association. May 1, 2017. Accessed January 31, 2024. https://www.healthynursehealthynation.org/
4. Rushton CH, Batcheller J, Schroeder K, Donohue P. Burnout and resilience among nurses practicing in high-intensity settings. Am J Crit Care. 2015;24(5):412-420. doi:10.4037/ajcc2015291
5. Selye HA. History and general outline of the stress concept. Stress in Health and Disease. Butterworths; 1976:3-34.
6. Levy BS, Wegman DH, Baron SL, Sokas RK. Recognizing and preventing occupational and environmental disease and injury. Occupational and Environmental Health: Recognizing and Preventing Disease and Injury. 6th ed. Oxford University Press; 2011:59-77.
7. Menzies IEP. Nurses under stress. Int Nurs Rev. 1960;7:9-16.
8. Jennings BM. Turbulence. In: Hughes RG, ed. Advances in Patient Safety and Quality: An Evidence-Based Handbook for Nurses. 3rd ed. AHRQ Publication; 2007;2;193-202.
9. Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002;288(16):1987-1993. doi:10.1001/jama.288.16.1987
10. Magtibay DL, Chesak SS, Coughlin K, Sood A. Decreasing stress and burnout in nurses: efficacy of blended learning with stress management and resilience training program. J Nurs Adm. 2017;47(7-8):391-395. doi:10.1097/NNA.0000000000000501
11. Halbesleben JR, Wakefield BJ, Wakefield DS, Cooper LB. Nurse burnout and patient safety outcomes: nurse safety perception versus reporting behavior. West J Nurs Res. 2008;30(5):560-577. doi:10.1177/0193945907311322
12. Sherman RO. Creating a Battle Buddy program. September 2, 2021. Accessed September 27, 2022. https://www.emergingrnleader.com/creating-a-battle-buddy-program
13. Godfrey KM, Scott SD. At the heart of the pandemic: nursing peer support. Nurse Leader. 2021:19(2),188-193. doi:10.1016/j.mnl.2020.09.006
14. Wakefield M, Williams DR, Le Menestrel S, and Flaubert JL, Editors; Committee on the future of nursing 2020 2030; National Academy of Medicine; National Academies of Sciences, Engineering, and Medicine Institute of Medicine 2008. Retooling for an Aging America: Building the Health Care Workforce. Washington, DC: The National Academies Press. doi:10.17226/12089
15. Taylor RA. Contemporary issues: resilience training alone is an incomplete intervention. Nurs Educ Today. 2019;78:10-13. doi:10.1016/j.nedt.2019.03.014
16. Hofmann SG, Gómez AF. Mindfulness-based interventions for anxiety and depression. Psychiatr Clin North Am. 2017;40(4):739-749. doi:10.1016/j.psc.2017.08.008
17. Rutter M. Resilience in the face of adversity. Protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598-611. doi:10.1192/bjp.147.6.598
18. Zauszniewski JA, Bekhet AK, Suresky MJ. Indicators of resilience in family members of persons with serious mental Illness. Psychiatr Clin North Am. 2015;38(1):131-146. doi:10.1016/j.psc.2014.11.009
19. Celinski MJ. Framing resilience as transcendence and resourcefulness as transformation. In: Celinski MJ, Gow KM, eds. Continuity Versus Creative Response to Challenge: The Primacy of Resilience and Resourcefulness in Life and Therapy. Nova Science Pub Inc; 2011:11-30.
20. Zauszniewski JA, Lai CY, Tithiphontumrong S. Development and testing of the Resourcefulness Scale for Older Adults. J Nurs Meas. 2006:14(1):57-68. doi:10.1891.jnum.14.1.57
21. Zauszniewski JA, Bekhet AK. Measuring use of resourcefulness skills: psychometric testing of a new scale. ISRN Nurs. 2011;2011:787363. doi:10.5402/2011/787363
22. Zauszniewski JA, Lekhak N, Burant CJ, Variath M, Morris DL. preliminary evidence for effectiveness of resourcefulness training for women dementia caregivers. J Fam Med. 2016:3(5):1069.
23. Dolan ED, Mohr D, Lempa M, et al. Using a single item to measure burnout in primary care staff: a psychometric evaluation. J Gen Intern Med. 2015;30(5):582-587. doi:10.1007/s11606-014-3112-6
24. Zauszniewski JA Resourcefulness. In: Fitzpatrick JJ, ed. Encyclopedia of Nursing Research. 4th ed. 2018:632-634.
25. Combating Stress. American Nurses Association. Accessed November 28, 2022. https://www.nursingworld.org/practice-policy/work-environment/health-safety/combating-stress/
26. Albott CS, Wozniak JR, McGlinch BP, Wall MH, Gold BS, Vinogradov S. Battle Buddies: Rapid deployment of a psychological resilience intervention for health care workers during the COVID-19 pandemic. Anesth Analg. 2020;131(1):43-54. doi:10.1213/ANE.0000000000004912
1. Walker A. Nursing ranked as the most trusted profession for 22nd year in a row. January 23, 2024. Accessed January 31, 2024. https://nurse.org/articles/nursing-ranked-most-honest-profession
2. Mental health and wellness survey 1. American Nurses Foundation. August 2020. Accessed January 31, 2024. https://www.nursingworld.org/practice-policy/work-environment/health-safety/disaster-preparedness/coronavirus/what-you-need-to-know/mental-health-and-wellbeing-survey/
3. Healthy nurse, healthy nation. American Nurses Association. May 1, 2017. Accessed January 31, 2024. https://www.healthynursehealthynation.org/
4. Rushton CH, Batcheller J, Schroeder K, Donohue P. Burnout and resilience among nurses practicing in high-intensity settings. Am J Crit Care. 2015;24(5):412-420. doi:10.4037/ajcc2015291
5. Selye HA. History and general outline of the stress concept. Stress in Health and Disease. Butterworths; 1976:3-34.
6. Levy BS, Wegman DH, Baron SL, Sokas RK. Recognizing and preventing occupational and environmental disease and injury. Occupational and Environmental Health: Recognizing and Preventing Disease and Injury. 6th ed. Oxford University Press; 2011:59-77.
7. Menzies IEP. Nurses under stress. Int Nurs Rev. 1960;7:9-16.
8. Jennings BM. Turbulence. In: Hughes RG, ed. Advances in Patient Safety and Quality: An Evidence-Based Handbook for Nurses. 3rd ed. AHRQ Publication; 2007;2;193-202.
9. Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002;288(16):1987-1993. doi:10.1001/jama.288.16.1987
10. Magtibay DL, Chesak SS, Coughlin K, Sood A. Decreasing stress and burnout in nurses: efficacy of blended learning with stress management and resilience training program. J Nurs Adm. 2017;47(7-8):391-395. doi:10.1097/NNA.0000000000000501
11. Halbesleben JR, Wakefield BJ, Wakefield DS, Cooper LB. Nurse burnout and patient safety outcomes: nurse safety perception versus reporting behavior. West J Nurs Res. 2008;30(5):560-577. doi:10.1177/0193945907311322
12. Sherman RO. Creating a Battle Buddy program. September 2, 2021. Accessed September 27, 2022. https://www.emergingrnleader.com/creating-a-battle-buddy-program
13. Godfrey KM, Scott SD. At the heart of the pandemic: nursing peer support. Nurse Leader. 2021:19(2),188-193. doi:10.1016/j.mnl.2020.09.006
14. Wakefield M, Williams DR, Le Menestrel S, and Flaubert JL, Editors; Committee on the future of nursing 2020 2030; National Academy of Medicine; National Academies of Sciences, Engineering, and Medicine Institute of Medicine 2008. Retooling for an Aging America: Building the Health Care Workforce. Washington, DC: The National Academies Press. doi:10.17226/12089
15. Taylor RA. Contemporary issues: resilience training alone is an incomplete intervention. Nurs Educ Today. 2019;78:10-13. doi:10.1016/j.nedt.2019.03.014
16. Hofmann SG, Gómez AF. Mindfulness-based interventions for anxiety and depression. Psychiatr Clin North Am. 2017;40(4):739-749. doi:10.1016/j.psc.2017.08.008
17. Rutter M. Resilience in the face of adversity. Protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598-611. doi:10.1192/bjp.147.6.598
18. Zauszniewski JA, Bekhet AK, Suresky MJ. Indicators of resilience in family members of persons with serious mental Illness. Psychiatr Clin North Am. 2015;38(1):131-146. doi:10.1016/j.psc.2014.11.009
19. Celinski MJ. Framing resilience as transcendence and resourcefulness as transformation. In: Celinski MJ, Gow KM, eds. Continuity Versus Creative Response to Challenge: The Primacy of Resilience and Resourcefulness in Life and Therapy. Nova Science Pub Inc; 2011:11-30.
20. Zauszniewski JA, Lai CY, Tithiphontumrong S. Development and testing of the Resourcefulness Scale for Older Adults. J Nurs Meas. 2006:14(1):57-68. doi:10.1891.jnum.14.1.57
21. Zauszniewski JA, Bekhet AK. Measuring use of resourcefulness skills: psychometric testing of a new scale. ISRN Nurs. 2011;2011:787363. doi:10.5402/2011/787363
22. Zauszniewski JA, Lekhak N, Burant CJ, Variath M, Morris DL. preliminary evidence for effectiveness of resourcefulness training for women dementia caregivers. J Fam Med. 2016:3(5):1069.
23. Dolan ED, Mohr D, Lempa M, et al. Using a single item to measure burnout in primary care staff: a psychometric evaluation. J Gen Intern Med. 2015;30(5):582-587. doi:10.1007/s11606-014-3112-6
24. Zauszniewski JA Resourcefulness. In: Fitzpatrick JJ, ed. Encyclopedia of Nursing Research. 4th ed. 2018:632-634.
25. Combating Stress. American Nurses Association. Accessed November 28, 2022. https://www.nursingworld.org/practice-policy/work-environment/health-safety/combating-stress/
26. Albott CS, Wozniak JR, McGlinch BP, Wall MH, Gold BS, Vinogradov S. Battle Buddies: Rapid deployment of a psychological resilience intervention for health care workers during the COVID-19 pandemic. Anesth Analg. 2020;131(1):43-54. doi:10.1213/ANE.0000000000004912
Robotic Pet Therapy in the Intensive Care Unit
Critical illness is commonly associated with interrelated conditions including pain, agitation, delirium, immobility, and sleep disruption (PADIS). Managing PADIS is often complex and includes pharmacologic and nonpharmacologic interventions.1 Incorporating multifaceted practices to enhance PADIS management has been shown to improve several intensive care unit (ICU)-related outcomes.2
Many pharmacologic PADIS treatments are ineffective or associated with adverse effects. For example, antipsychotics used for treating ICU-related delirium have not shown improved outcomes.3,4 Commonly used medications for agitation, such as benzodiazepines, increase delirium risk.5,6 Because of these limitations, several nonpharmacologic interventions for PADIS have been evaluated.
Pet therapy has been implemented in some ICU settings, but is not widely adopted.7 Also referred to as animal-assisted activities, animal-assisted therapy, or animal-assisted interventions, pet therapy typically involves interaction between a patient and a live animal (most commonly a dog) under the direction of an animal handler, with the intention of providing therapeutic benefit. Interactions frequently include meet and greet activities such as petting, but also could include walking or other activities. Pet therapy has been reported to reduce pain, agitation, and stress among ICU patients.8 Introducing a pet therapy program with live animals in the ICU could be challenging because of factors such as identifying trained, accredited animals and handlers, and managing infection control and other risks.9 As an alternative to live pets, robotic pet therapy has been shown to be beneficial—mostly outside the ICU—in settings such as long-term care.10,11 Although uncommon, robotic pets have been used in the ICU and hospital settings for therapeutic purposes.12 Robotic pets reduce many concerns associated with live animals while mimicking the behaviors of live animals and potentially offering many of the same benefits.
OBSERVATIONS
The North Florida/South Georgia Veterans Health System (NF/SGVHS) implemented a novel robotic pet therapy program for patients requiring ICU care to improve the treatment of PADIS. Funding was provided through a Veterans Health Administration Innovation Grant procured by a clinical pharmacy specialist as the program’s champion. Goals of the robotic pet therapy program include reductions in: distressing symptoms associated with PADIS, use of psychoactive drugs and physical restraints, and ICU length of stay. The ICU team developed standard operating procedures and an order menu, which were integrated into the ICU prescriber ordering menu. Patients were selected for pet therapy based on PADIS scores and potential for positive response to pet therapy as assessed by the ICU team.Patients in medical and surgical ICU settings were eligible for the program. The robotic pets used in the program were Joy for AllCompanion Pets (Ageless Innovation LLC). Robotic cats and dogs were available and pets were “adopted’ by each patient (Figure). As an infection control measure, pets were not reissued or shared amongpatients and pets could be cleaned with a disinfectant solution. Nurses were primarily responsible for monitoring and documenting responses to robotic pet therapy.
It was necessary to secure buy-in from several services to successfully implement the program. The critical care clinical pharmacy specialists were responsible for ordering, storing, and dispensing the robotic pets. The NF/SGVHS innovation specialist helped secure funding, procure the robotic pet, and promote the program. The standard operating procedures for the program were developed by a multidisciplinary team with input from critical care nurses, intensivists, pharmacists, patient safety, and infection control (Table 1). Success of the program also required buy-in from ICU team members.
Program Impact
A retrospective cohort study was conducted to assess for improvements in PADIS symptoms and medication use post-intervention. Patients were included if they received robotic pet therapy in the ICU from July 10, 2019, to February 1, 2021. Individuals aged < 18 years or > 89 years, were pregnant, or were not receiving ICU-level care were excluded. Outcomes assessed included improvement in pain scores, agitation scores, sleep quality, resolution of delirium, and use of pain or psychoactive medications during patients’ ICU stay.
Thirty patients were included in the study (Table 2). After receiving a robotic pet, 9 (30%) patients recorded decreased pain scores, 15 (50%) recorded decreased agitation scores, 8 (27%) had resolution of delirium, and 2 (7%) described improvement in sleep. Pain medication use decreased in 12 (40%) patients and psychoactive medication use was reduced in 7 (23%) patients.
Limitations
The robotic pet therapy program has shown promising results; however, some aspects merit discussion. Evaluation of this program is limited by factors such as the observational study design, single-center patient sample, and lack of comparator group. Although no known adverse effects of robotic pet therapy were seen, it is possible that some patients may not have a favorable response. Challenges of implementing a robotic pet therapy program include cost and additional operational activities (storage, ordering, dispensing) necessary to maintain the program. Additional research is needed to evaluate the impact of robotic pet therapy on other outcomes including cost, ICU length of stay, and patient satisfaction.
CONCLUSIONS
Robotic pet therapy can be successfully implemented in the ICU and appears to provide a simple, safe, beneficial, nonpharmacologic intervention for PADIS. This study showed that many patients had favorable response to robotic pet therapy, indicating that it may be a viable alternative to traditional pet therapy. Other health systems could benefit from implementing programs similar to the robotic pet therapy program at NF/SGVHS.
Acknowledgments
The author would like to acknowledge Simran Panesar, PharmD, and Theresa Faison, PharmD, for their contributions to this project.
1. Devlin JW, Skrobik Y, Gélinas C, et al. Clinical practice guidelines for the prevention and management of pain, agitation/sedation, delirium, immobility, and sleep disruption in adult patients in the ICU. Crit Care Med. 2018;46:e825-e873. doi:10.1097/CCM.0000000000003299
2. Pun BT, Balas MC, Barnes-Daly MA, et al. Caring for critically ill patients with the ABCDEF bundle: results of the ICU Liberation Collaborative in over 15,000 adults. Crit Care Med. 2019;47:3-14. doi:10.1097/CCM.0000000000003482
3. Andersen-Ranberg NC, Poulsen LM, Perner A, et al; AID-ICU Trial Group. Haloperidol for the treatment of delirium in ICU patients. N Engl J Med. 2022;387:2425-2435. doi:10.1056/NEJMoa2211868
4. Girard TD, Exline MC, Carson SS, et al; MIND-USA Investigators. Haloperidol and ziprasidone for treatment of delirium in critical illness. N Engl J Med. 2018;379:2506-2516. doi:10.1056/NEJMoa1808217
5. Riker RR, Shehabi Y, Bokesch PM, et al; SEDCOM (Safety and Efficacy of Dexmedetomidine Compared With Midazolam) Study Group. Dexmedetomidine vs midazolam for sedation of critically ill patients: a randomized trial. JAMA. 2009;301:489-499. doi:10.1001/jama.2009.56
6. Pandharipande P, Shintani A, Peterson J, et al. Lorazepam is an independent risk factor for transitioning to delirium in intensive care unit patients. Anesthesiology. 2006;104:21-26. doi:10.1097/00000542-200601000-00005
7. Society of Critical Care Medicine. ICU liberation bundle. Accessed February 27, 2024. https://www.sccm.org/ICULiberation/Home/ABCDEF-Bundles
8. Lovell T, Ranse K. Animal-assisted activities in the intensive care unit: a scoping review. Intensive Crit Care Nurs. 2022;73:103304. doi:10.1016/j.iccn.2022.103304
9. Hosey MM, Jaskulski J, Wegener ST, Chlan LL, Needham DM. Animal-assisted intervention in the ICU: a tool for humanization. Crit Care. 2018;22:22. doi:10.1186/s13054-018-1946-8
10. Jøranson N, Pedersen I, Rokstad AM, Ihlebæk C. Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. J Am Med Dir Assoc. 2015;16:867-873. doi:10.1016/j.jamda.2015.05.002
11. Robinson H, Macdonald B, Kerse N, Broadbent E. The psychosocial effects of a companion robot: a randomized controlled trial. J Am Med Dir Assoc. 2013;14:661-667. doi:10.1016/j.jamda.2013.02.007
12. Schulman-Marcus J, Mookherjee S, Rice L, Lyubarova R. New approaches for the treatment of delirium: a case for robotic pets. Am J Med. 2019;132:781-782. doi:10.1016/j.amjmed.2018.12.039
Critical illness is commonly associated with interrelated conditions including pain, agitation, delirium, immobility, and sleep disruption (PADIS). Managing PADIS is often complex and includes pharmacologic and nonpharmacologic interventions.1 Incorporating multifaceted practices to enhance PADIS management has been shown to improve several intensive care unit (ICU)-related outcomes.2
Many pharmacologic PADIS treatments are ineffective or associated with adverse effects. For example, antipsychotics used for treating ICU-related delirium have not shown improved outcomes.3,4 Commonly used medications for agitation, such as benzodiazepines, increase delirium risk.5,6 Because of these limitations, several nonpharmacologic interventions for PADIS have been evaluated.
Pet therapy has been implemented in some ICU settings, but is not widely adopted.7 Also referred to as animal-assisted activities, animal-assisted therapy, or animal-assisted interventions, pet therapy typically involves interaction between a patient and a live animal (most commonly a dog) under the direction of an animal handler, with the intention of providing therapeutic benefit. Interactions frequently include meet and greet activities such as petting, but also could include walking or other activities. Pet therapy has been reported to reduce pain, agitation, and stress among ICU patients.8 Introducing a pet therapy program with live animals in the ICU could be challenging because of factors such as identifying trained, accredited animals and handlers, and managing infection control and other risks.9 As an alternative to live pets, robotic pet therapy has been shown to be beneficial—mostly outside the ICU—in settings such as long-term care.10,11 Although uncommon, robotic pets have been used in the ICU and hospital settings for therapeutic purposes.12 Robotic pets reduce many concerns associated with live animals while mimicking the behaviors of live animals and potentially offering many of the same benefits.
OBSERVATIONS
The North Florida/South Georgia Veterans Health System (NF/SGVHS) implemented a novel robotic pet therapy program for patients requiring ICU care to improve the treatment of PADIS. Funding was provided through a Veterans Health Administration Innovation Grant procured by a clinical pharmacy specialist as the program’s champion. Goals of the robotic pet therapy program include reductions in: distressing symptoms associated with PADIS, use of psychoactive drugs and physical restraints, and ICU length of stay. The ICU team developed standard operating procedures and an order menu, which were integrated into the ICU prescriber ordering menu. Patients were selected for pet therapy based on PADIS scores and potential for positive response to pet therapy as assessed by the ICU team.Patients in medical and surgical ICU settings were eligible for the program. The robotic pets used in the program were Joy for AllCompanion Pets (Ageless Innovation LLC). Robotic cats and dogs were available and pets were “adopted’ by each patient (Figure). As an infection control measure, pets were not reissued or shared amongpatients and pets could be cleaned with a disinfectant solution. Nurses were primarily responsible for monitoring and documenting responses to robotic pet therapy.
It was necessary to secure buy-in from several services to successfully implement the program. The critical care clinical pharmacy specialists were responsible for ordering, storing, and dispensing the robotic pets. The NF/SGVHS innovation specialist helped secure funding, procure the robotic pet, and promote the program. The standard operating procedures for the program were developed by a multidisciplinary team with input from critical care nurses, intensivists, pharmacists, patient safety, and infection control (Table 1). Success of the program also required buy-in from ICU team members.
Program Impact
A retrospective cohort study was conducted to assess for improvements in PADIS symptoms and medication use post-intervention. Patients were included if they received robotic pet therapy in the ICU from July 10, 2019, to February 1, 2021. Individuals aged < 18 years or > 89 years, were pregnant, or were not receiving ICU-level care were excluded. Outcomes assessed included improvement in pain scores, agitation scores, sleep quality, resolution of delirium, and use of pain or psychoactive medications during patients’ ICU stay.
Thirty patients were included in the study (Table 2). After receiving a robotic pet, 9 (30%) patients recorded decreased pain scores, 15 (50%) recorded decreased agitation scores, 8 (27%) had resolution of delirium, and 2 (7%) described improvement in sleep. Pain medication use decreased in 12 (40%) patients and psychoactive medication use was reduced in 7 (23%) patients.
Limitations
The robotic pet therapy program has shown promising results; however, some aspects merit discussion. Evaluation of this program is limited by factors such as the observational study design, single-center patient sample, and lack of comparator group. Although no known adverse effects of robotic pet therapy were seen, it is possible that some patients may not have a favorable response. Challenges of implementing a robotic pet therapy program include cost and additional operational activities (storage, ordering, dispensing) necessary to maintain the program. Additional research is needed to evaluate the impact of robotic pet therapy on other outcomes including cost, ICU length of stay, and patient satisfaction.
CONCLUSIONS
Robotic pet therapy can be successfully implemented in the ICU and appears to provide a simple, safe, beneficial, nonpharmacologic intervention for PADIS. This study showed that many patients had favorable response to robotic pet therapy, indicating that it may be a viable alternative to traditional pet therapy. Other health systems could benefit from implementing programs similar to the robotic pet therapy program at NF/SGVHS.
Acknowledgments
The author would like to acknowledge Simran Panesar, PharmD, and Theresa Faison, PharmD, for their contributions to this project.
Critical illness is commonly associated with interrelated conditions including pain, agitation, delirium, immobility, and sleep disruption (PADIS). Managing PADIS is often complex and includes pharmacologic and nonpharmacologic interventions.1 Incorporating multifaceted practices to enhance PADIS management has been shown to improve several intensive care unit (ICU)-related outcomes.2
Many pharmacologic PADIS treatments are ineffective or associated with adverse effects. For example, antipsychotics used for treating ICU-related delirium have not shown improved outcomes.3,4 Commonly used medications for agitation, such as benzodiazepines, increase delirium risk.5,6 Because of these limitations, several nonpharmacologic interventions for PADIS have been evaluated.
Pet therapy has been implemented in some ICU settings, but is not widely adopted.7 Also referred to as animal-assisted activities, animal-assisted therapy, or animal-assisted interventions, pet therapy typically involves interaction between a patient and a live animal (most commonly a dog) under the direction of an animal handler, with the intention of providing therapeutic benefit. Interactions frequently include meet and greet activities such as petting, but also could include walking or other activities. Pet therapy has been reported to reduce pain, agitation, and stress among ICU patients.8 Introducing a pet therapy program with live animals in the ICU could be challenging because of factors such as identifying trained, accredited animals and handlers, and managing infection control and other risks.9 As an alternative to live pets, robotic pet therapy has been shown to be beneficial—mostly outside the ICU—in settings such as long-term care.10,11 Although uncommon, robotic pets have been used in the ICU and hospital settings for therapeutic purposes.12 Robotic pets reduce many concerns associated with live animals while mimicking the behaviors of live animals and potentially offering many of the same benefits.
OBSERVATIONS
The North Florida/South Georgia Veterans Health System (NF/SGVHS) implemented a novel robotic pet therapy program for patients requiring ICU care to improve the treatment of PADIS. Funding was provided through a Veterans Health Administration Innovation Grant procured by a clinical pharmacy specialist as the program’s champion. Goals of the robotic pet therapy program include reductions in: distressing symptoms associated with PADIS, use of psychoactive drugs and physical restraints, and ICU length of stay. The ICU team developed standard operating procedures and an order menu, which were integrated into the ICU prescriber ordering menu. Patients were selected for pet therapy based on PADIS scores and potential for positive response to pet therapy as assessed by the ICU team.Patients in medical and surgical ICU settings were eligible for the program. The robotic pets used in the program were Joy for AllCompanion Pets (Ageless Innovation LLC). Robotic cats and dogs were available and pets were “adopted’ by each patient (Figure). As an infection control measure, pets were not reissued or shared amongpatients and pets could be cleaned with a disinfectant solution. Nurses were primarily responsible for monitoring and documenting responses to robotic pet therapy.
It was necessary to secure buy-in from several services to successfully implement the program. The critical care clinical pharmacy specialists were responsible for ordering, storing, and dispensing the robotic pets. The NF/SGVHS innovation specialist helped secure funding, procure the robotic pet, and promote the program. The standard operating procedures for the program were developed by a multidisciplinary team with input from critical care nurses, intensivists, pharmacists, patient safety, and infection control (Table 1). Success of the program also required buy-in from ICU team members.
Program Impact
A retrospective cohort study was conducted to assess for improvements in PADIS symptoms and medication use post-intervention. Patients were included if they received robotic pet therapy in the ICU from July 10, 2019, to February 1, 2021. Individuals aged < 18 years or > 89 years, were pregnant, or were not receiving ICU-level care were excluded. Outcomes assessed included improvement in pain scores, agitation scores, sleep quality, resolution of delirium, and use of pain or psychoactive medications during patients’ ICU stay.
Thirty patients were included in the study (Table 2). After receiving a robotic pet, 9 (30%) patients recorded decreased pain scores, 15 (50%) recorded decreased agitation scores, 8 (27%) had resolution of delirium, and 2 (7%) described improvement in sleep. Pain medication use decreased in 12 (40%) patients and psychoactive medication use was reduced in 7 (23%) patients.
Limitations
The robotic pet therapy program has shown promising results; however, some aspects merit discussion. Evaluation of this program is limited by factors such as the observational study design, single-center patient sample, and lack of comparator group. Although no known adverse effects of robotic pet therapy were seen, it is possible that some patients may not have a favorable response. Challenges of implementing a robotic pet therapy program include cost and additional operational activities (storage, ordering, dispensing) necessary to maintain the program. Additional research is needed to evaluate the impact of robotic pet therapy on other outcomes including cost, ICU length of stay, and patient satisfaction.
CONCLUSIONS
Robotic pet therapy can be successfully implemented in the ICU and appears to provide a simple, safe, beneficial, nonpharmacologic intervention for PADIS. This study showed that many patients had favorable response to robotic pet therapy, indicating that it may be a viable alternative to traditional pet therapy. Other health systems could benefit from implementing programs similar to the robotic pet therapy program at NF/SGVHS.
Acknowledgments
The author would like to acknowledge Simran Panesar, PharmD, and Theresa Faison, PharmD, for their contributions to this project.
1. Devlin JW, Skrobik Y, Gélinas C, et al. Clinical practice guidelines for the prevention and management of pain, agitation/sedation, delirium, immobility, and sleep disruption in adult patients in the ICU. Crit Care Med. 2018;46:e825-e873. doi:10.1097/CCM.0000000000003299
2. Pun BT, Balas MC, Barnes-Daly MA, et al. Caring for critically ill patients with the ABCDEF bundle: results of the ICU Liberation Collaborative in over 15,000 adults. Crit Care Med. 2019;47:3-14. doi:10.1097/CCM.0000000000003482
3. Andersen-Ranberg NC, Poulsen LM, Perner A, et al; AID-ICU Trial Group. Haloperidol for the treatment of delirium in ICU patients. N Engl J Med. 2022;387:2425-2435. doi:10.1056/NEJMoa2211868
4. Girard TD, Exline MC, Carson SS, et al; MIND-USA Investigators. Haloperidol and ziprasidone for treatment of delirium in critical illness. N Engl J Med. 2018;379:2506-2516. doi:10.1056/NEJMoa1808217
5. Riker RR, Shehabi Y, Bokesch PM, et al; SEDCOM (Safety and Efficacy of Dexmedetomidine Compared With Midazolam) Study Group. Dexmedetomidine vs midazolam for sedation of critically ill patients: a randomized trial. JAMA. 2009;301:489-499. doi:10.1001/jama.2009.56
6. Pandharipande P, Shintani A, Peterson J, et al. Lorazepam is an independent risk factor for transitioning to delirium in intensive care unit patients. Anesthesiology. 2006;104:21-26. doi:10.1097/00000542-200601000-00005
7. Society of Critical Care Medicine. ICU liberation bundle. Accessed February 27, 2024. https://www.sccm.org/ICULiberation/Home/ABCDEF-Bundles
8. Lovell T, Ranse K. Animal-assisted activities in the intensive care unit: a scoping review. Intensive Crit Care Nurs. 2022;73:103304. doi:10.1016/j.iccn.2022.103304
9. Hosey MM, Jaskulski J, Wegener ST, Chlan LL, Needham DM. Animal-assisted intervention in the ICU: a tool for humanization. Crit Care. 2018;22:22. doi:10.1186/s13054-018-1946-8
10. Jøranson N, Pedersen I, Rokstad AM, Ihlebæk C. Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. J Am Med Dir Assoc. 2015;16:867-873. doi:10.1016/j.jamda.2015.05.002
11. Robinson H, Macdonald B, Kerse N, Broadbent E. The psychosocial effects of a companion robot: a randomized controlled trial. J Am Med Dir Assoc. 2013;14:661-667. doi:10.1016/j.jamda.2013.02.007
12. Schulman-Marcus J, Mookherjee S, Rice L, Lyubarova R. New approaches for the treatment of delirium: a case for robotic pets. Am J Med. 2019;132:781-782. doi:10.1016/j.amjmed.2018.12.039
1. Devlin JW, Skrobik Y, Gélinas C, et al. Clinical practice guidelines for the prevention and management of pain, agitation/sedation, delirium, immobility, and sleep disruption in adult patients in the ICU. Crit Care Med. 2018;46:e825-e873. doi:10.1097/CCM.0000000000003299
2. Pun BT, Balas MC, Barnes-Daly MA, et al. Caring for critically ill patients with the ABCDEF bundle: results of the ICU Liberation Collaborative in over 15,000 adults. Crit Care Med. 2019;47:3-14. doi:10.1097/CCM.0000000000003482
3. Andersen-Ranberg NC, Poulsen LM, Perner A, et al; AID-ICU Trial Group. Haloperidol for the treatment of delirium in ICU patients. N Engl J Med. 2022;387:2425-2435. doi:10.1056/NEJMoa2211868
4. Girard TD, Exline MC, Carson SS, et al; MIND-USA Investigators. Haloperidol and ziprasidone for treatment of delirium in critical illness. N Engl J Med. 2018;379:2506-2516. doi:10.1056/NEJMoa1808217
5. Riker RR, Shehabi Y, Bokesch PM, et al; SEDCOM (Safety and Efficacy of Dexmedetomidine Compared With Midazolam) Study Group. Dexmedetomidine vs midazolam for sedation of critically ill patients: a randomized trial. JAMA. 2009;301:489-499. doi:10.1001/jama.2009.56
6. Pandharipande P, Shintani A, Peterson J, et al. Lorazepam is an independent risk factor for transitioning to delirium in intensive care unit patients. Anesthesiology. 2006;104:21-26. doi:10.1097/00000542-200601000-00005
7. Society of Critical Care Medicine. ICU liberation bundle. Accessed February 27, 2024. https://www.sccm.org/ICULiberation/Home/ABCDEF-Bundles
8. Lovell T, Ranse K. Animal-assisted activities in the intensive care unit: a scoping review. Intensive Crit Care Nurs. 2022;73:103304. doi:10.1016/j.iccn.2022.103304
9. Hosey MM, Jaskulski J, Wegener ST, Chlan LL, Needham DM. Animal-assisted intervention in the ICU: a tool for humanization. Crit Care. 2018;22:22. doi:10.1186/s13054-018-1946-8
10. Jøranson N, Pedersen I, Rokstad AM, Ihlebæk C. Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. J Am Med Dir Assoc. 2015;16:867-873. doi:10.1016/j.jamda.2015.05.002
11. Robinson H, Macdonald B, Kerse N, Broadbent E. The psychosocial effects of a companion robot: a randomized controlled trial. J Am Med Dir Assoc. 2013;14:661-667. doi:10.1016/j.jamda.2013.02.007
12. Schulman-Marcus J, Mookherjee S, Rice L, Lyubarova R. New approaches for the treatment of delirium: a case for robotic pets. Am J Med. 2019;132:781-782. doi:10.1016/j.amjmed.2018.12.039
Most Homeless People Have Mental Health Disorders
Most people experiencing homelessness have mental health disorders, according to a systematic review and meta-analysis.
In an examination of studies that included nearly 50,000 participants, the current prevalence of mental health disorders among people experiencing homelessness was 67% and the lifetime prevalence was 77%.
“The relationship is likely bidirectional, where experiencing homelessness may exacerbate mental health symptoms or where having a mental health disorder may increase an individual’s risk for experiencing homelessness,” lead author Rebecca Barry, PhD, a postdoctoral fellow at the University of Calgary in Calgary, Alberta, Canada, told this news organization.
“There are also likely stressors that increase both risk for homelessness and risk for developing mental health disorders. This study examines prevalence but does not examine causal relationships,” she said.
The findings were published in JAMA Psychiatry.
A Growing Problem
To determine the current and lifetime prevalence of mental health disorders among the homeless population, the researchers analyzed 85 studies that examined this question in participants aged ≥ 18 years. The review included 48,414 participants, including 11,154 (23%) women and 37,260 (77%) men.
The lifetime prevalence of mental health disorders was significantly higher in men experiencing homelessness (86%) than in women (69%). The most common mental health disorder was substance use disorder (44%), followed by antisocial personality disorder (26%), major depression (19%), bipolar disorder (8%), and schizophrenia (7%).
The prevalence of current and lifetime mental health disorders among the homeless population was higher than that that observed in the general population (13%-15% and 12%-47%, respectively).
The results resembled those of a previous review that estimated that 76% of people experiencing homelessness living in high-income countries have mental health disorders.
“Even though our results are not surprising, they still are drawing attention to this issue because it is a big problem in Canada, the United States, Europe, and other places,” senior author Dallas Seitz, MD, PhD, professor of psychiatry at the University of Calgary’s Cumming School of Medicine, told this news organization. “The problem is concerning, and it’s not getting better. Addiction and mental health problems are becoming more common among people who are homeless.”
The bottom line is that people need affordable housing and mental health support, said Dr. Seitz. “It’s a housing problem and a health problem, and we need adequate resources to find better ways for those two systems to collaborate. There are public safety concerns, and we have to try and bring services to people experiencing homelessness. You have to come and meet people where they’re at. You have to try and establish a trusting relationship so that we can get people on the path to recovery.”
‘It’s Really About Income’
Commenting on the findings for this news organization, Stephen Hwang, MD, professor of medicine at the University of Toronto, Toronto, Ontario, Canada, said, “There have been previous studies of this type, but it is good to have an updated one.” Dr. Hwang, who is also chair in Homelessness, Housing, and Health at St. Michael’s Hospital, did not participate in the research.
The findings must be understood in the proper context, he added. For one thing, grouping together all mental health disorders and giving a single prevalence figure can be misleading. “They are including in that category a diverse group of conditions. Substance use disorder, personality disorder, schizophrenia, and depression are all lumped together. The 67% prevalence seems very high, but it is a combination of many different conditions. I just don’t want people to look at that number and think that this means that everyone is a substance user or everyone has schizophrenia,” said Dr. Hwang.
Also, some readers might interpret the findings to mean that mental problems are the reason people are homeless, he added. “That would be an incorrect interpretation because what this study is showing is that people with mental health disorders have a higher risk for becoming homeless. It doesn’t mean that it caused their homelessness. What really causes homelessness is a lack of affordable housing,” said Dr. Hwang.
“In a city or community where housing is very expensive, there’s not enough for everyone to be housed, there is a lot of competition for housing, and there’s not enough affordable housing for a number of reasons, we know that people with mental health conditions and substance use disorders will be among the first to lose their housing,” he said.
“It’s really about income. There are many reasons why a person cannot afford housing. So, not being able to earn enough money to afford it because you have a mental health disorder or substance use disorder is a common underlying reason for homelessness.”
Dr. Hwang also pointed out that people with mental illness who can access support, either through family members or through mental health care, and who also have the income to afford such services do not become homeless.
“Schizophrenia is seen in every population of the world at a rate of 1%. But you travel to certain cities and you see people who appear to have schizophrenia wandering the streets, and you go to other cities in the world and you don’t see anyone who looks like they’re homeless and have schizophrenia,” he said.
“It’s not because there are fewer people with schizophrenia in those cities or countries; it’s because people with schizophrenia are treated differently. The rate of homelessness is determined not by how many people have that condition [eg, schizophrenia] but by how we treat those people and how we set up our society to either support or not support people who have disabilities.”
The study was funded by the Precision Care With Information, Science and Experience – Mental Health grant funded by the Calgary Health Foundation. Dr. Barry is supported by the Harley Hotchkiss Samuel Weiss Postdoctoral Fellowship awarded by the Hotchkiss Brain Institute at the University of Calgary. Dr. Barry reported having no relevant financial relationships. Dr. Seitz reported grants from Calgary Health Foundation during the conduct of the study as well as grants from University Health Foundation, the Canadian Institutes of Health Research, the Public Health Agency of Canada, the Alzheimer’s Association, and the Hotchkiss Brain Institute. He received honoraria for guideline development from the Canadian Coalition for Seniors Mental Health outside the submitted work. Dr. Hwang reported no relevant financial relationships.
A version of this article appeared on Medscape.com.
Most people experiencing homelessness have mental health disorders, according to a systematic review and meta-analysis.
In an examination of studies that included nearly 50,000 participants, the current prevalence of mental health disorders among people experiencing homelessness was 67% and the lifetime prevalence was 77%.
“The relationship is likely bidirectional, where experiencing homelessness may exacerbate mental health symptoms or where having a mental health disorder may increase an individual’s risk for experiencing homelessness,” lead author Rebecca Barry, PhD, a postdoctoral fellow at the University of Calgary in Calgary, Alberta, Canada, told this news organization.
“There are also likely stressors that increase both risk for homelessness and risk for developing mental health disorders. This study examines prevalence but does not examine causal relationships,” she said.
The findings were published in JAMA Psychiatry.
A Growing Problem
To determine the current and lifetime prevalence of mental health disorders among the homeless population, the researchers analyzed 85 studies that examined this question in participants aged ≥ 18 years. The review included 48,414 participants, including 11,154 (23%) women and 37,260 (77%) men.
The lifetime prevalence of mental health disorders was significantly higher in men experiencing homelessness (86%) than in women (69%). The most common mental health disorder was substance use disorder (44%), followed by antisocial personality disorder (26%), major depression (19%), bipolar disorder (8%), and schizophrenia (7%).
The prevalence of current and lifetime mental health disorders among the homeless population was higher than that that observed in the general population (13%-15% and 12%-47%, respectively).
The results resembled those of a previous review that estimated that 76% of people experiencing homelessness living in high-income countries have mental health disorders.
“Even though our results are not surprising, they still are drawing attention to this issue because it is a big problem in Canada, the United States, Europe, and other places,” senior author Dallas Seitz, MD, PhD, professor of psychiatry at the University of Calgary’s Cumming School of Medicine, told this news organization. “The problem is concerning, and it’s not getting better. Addiction and mental health problems are becoming more common among people who are homeless.”
The bottom line is that people need affordable housing and mental health support, said Dr. Seitz. “It’s a housing problem and a health problem, and we need adequate resources to find better ways for those two systems to collaborate. There are public safety concerns, and we have to try and bring services to people experiencing homelessness. You have to come and meet people where they’re at. You have to try and establish a trusting relationship so that we can get people on the path to recovery.”
‘It’s Really About Income’
Commenting on the findings for this news organization, Stephen Hwang, MD, professor of medicine at the University of Toronto, Toronto, Ontario, Canada, said, “There have been previous studies of this type, but it is good to have an updated one.” Dr. Hwang, who is also chair in Homelessness, Housing, and Health at St. Michael’s Hospital, did not participate in the research.
The findings must be understood in the proper context, he added. For one thing, grouping together all mental health disorders and giving a single prevalence figure can be misleading. “They are including in that category a diverse group of conditions. Substance use disorder, personality disorder, schizophrenia, and depression are all lumped together. The 67% prevalence seems very high, but it is a combination of many different conditions. I just don’t want people to look at that number and think that this means that everyone is a substance user or everyone has schizophrenia,” said Dr. Hwang.
Also, some readers might interpret the findings to mean that mental problems are the reason people are homeless, he added. “That would be an incorrect interpretation because what this study is showing is that people with mental health disorders have a higher risk for becoming homeless. It doesn’t mean that it caused their homelessness. What really causes homelessness is a lack of affordable housing,” said Dr. Hwang.
“In a city or community where housing is very expensive, there’s not enough for everyone to be housed, there is a lot of competition for housing, and there’s not enough affordable housing for a number of reasons, we know that people with mental health conditions and substance use disorders will be among the first to lose their housing,” he said.
“It’s really about income. There are many reasons why a person cannot afford housing. So, not being able to earn enough money to afford it because you have a mental health disorder or substance use disorder is a common underlying reason for homelessness.”
Dr. Hwang also pointed out that people with mental illness who can access support, either through family members or through mental health care, and who also have the income to afford such services do not become homeless.
“Schizophrenia is seen in every population of the world at a rate of 1%. But you travel to certain cities and you see people who appear to have schizophrenia wandering the streets, and you go to other cities in the world and you don’t see anyone who looks like they’re homeless and have schizophrenia,” he said.
“It’s not because there are fewer people with schizophrenia in those cities or countries; it’s because people with schizophrenia are treated differently. The rate of homelessness is determined not by how many people have that condition [eg, schizophrenia] but by how we treat those people and how we set up our society to either support or not support people who have disabilities.”
The study was funded by the Precision Care With Information, Science and Experience – Mental Health grant funded by the Calgary Health Foundation. Dr. Barry is supported by the Harley Hotchkiss Samuel Weiss Postdoctoral Fellowship awarded by the Hotchkiss Brain Institute at the University of Calgary. Dr. Barry reported having no relevant financial relationships. Dr. Seitz reported grants from Calgary Health Foundation during the conduct of the study as well as grants from University Health Foundation, the Canadian Institutes of Health Research, the Public Health Agency of Canada, the Alzheimer’s Association, and the Hotchkiss Brain Institute. He received honoraria for guideline development from the Canadian Coalition for Seniors Mental Health outside the submitted work. Dr. Hwang reported no relevant financial relationships.
A version of this article appeared on Medscape.com.
Most people experiencing homelessness have mental health disorders, according to a systematic review and meta-analysis.
In an examination of studies that included nearly 50,000 participants, the current prevalence of mental health disorders among people experiencing homelessness was 67% and the lifetime prevalence was 77%.
“The relationship is likely bidirectional, where experiencing homelessness may exacerbate mental health symptoms or where having a mental health disorder may increase an individual’s risk for experiencing homelessness,” lead author Rebecca Barry, PhD, a postdoctoral fellow at the University of Calgary in Calgary, Alberta, Canada, told this news organization.
“There are also likely stressors that increase both risk for homelessness and risk for developing mental health disorders. This study examines prevalence but does not examine causal relationships,” she said.
The findings were published in JAMA Psychiatry.
A Growing Problem
To determine the current and lifetime prevalence of mental health disorders among the homeless population, the researchers analyzed 85 studies that examined this question in participants aged ≥ 18 years. The review included 48,414 participants, including 11,154 (23%) women and 37,260 (77%) men.
The lifetime prevalence of mental health disorders was significantly higher in men experiencing homelessness (86%) than in women (69%). The most common mental health disorder was substance use disorder (44%), followed by antisocial personality disorder (26%), major depression (19%), bipolar disorder (8%), and schizophrenia (7%).
The prevalence of current and lifetime mental health disorders among the homeless population was higher than that that observed in the general population (13%-15% and 12%-47%, respectively).
The results resembled those of a previous review that estimated that 76% of people experiencing homelessness living in high-income countries have mental health disorders.
“Even though our results are not surprising, they still are drawing attention to this issue because it is a big problem in Canada, the United States, Europe, and other places,” senior author Dallas Seitz, MD, PhD, professor of psychiatry at the University of Calgary’s Cumming School of Medicine, told this news organization. “The problem is concerning, and it’s not getting better. Addiction and mental health problems are becoming more common among people who are homeless.”
The bottom line is that people need affordable housing and mental health support, said Dr. Seitz. “It’s a housing problem and a health problem, and we need adequate resources to find better ways for those two systems to collaborate. There are public safety concerns, and we have to try and bring services to people experiencing homelessness. You have to come and meet people where they’re at. You have to try and establish a trusting relationship so that we can get people on the path to recovery.”
‘It’s Really About Income’
Commenting on the findings for this news organization, Stephen Hwang, MD, professor of medicine at the University of Toronto, Toronto, Ontario, Canada, said, “There have been previous studies of this type, but it is good to have an updated one.” Dr. Hwang, who is also chair in Homelessness, Housing, and Health at St. Michael’s Hospital, did not participate in the research.
The findings must be understood in the proper context, he added. For one thing, grouping together all mental health disorders and giving a single prevalence figure can be misleading. “They are including in that category a diverse group of conditions. Substance use disorder, personality disorder, schizophrenia, and depression are all lumped together. The 67% prevalence seems very high, but it is a combination of many different conditions. I just don’t want people to look at that number and think that this means that everyone is a substance user or everyone has schizophrenia,” said Dr. Hwang.
Also, some readers might interpret the findings to mean that mental problems are the reason people are homeless, he added. “That would be an incorrect interpretation because what this study is showing is that people with mental health disorders have a higher risk for becoming homeless. It doesn’t mean that it caused their homelessness. What really causes homelessness is a lack of affordable housing,” said Dr. Hwang.
“In a city or community where housing is very expensive, there’s not enough for everyone to be housed, there is a lot of competition for housing, and there’s not enough affordable housing for a number of reasons, we know that people with mental health conditions and substance use disorders will be among the first to lose their housing,” he said.
“It’s really about income. There are many reasons why a person cannot afford housing. So, not being able to earn enough money to afford it because you have a mental health disorder or substance use disorder is a common underlying reason for homelessness.”
Dr. Hwang also pointed out that people with mental illness who can access support, either through family members or through mental health care, and who also have the income to afford such services do not become homeless.
“Schizophrenia is seen in every population of the world at a rate of 1%. But you travel to certain cities and you see people who appear to have schizophrenia wandering the streets, and you go to other cities in the world and you don’t see anyone who looks like they’re homeless and have schizophrenia,” he said.
“It’s not because there are fewer people with schizophrenia in those cities or countries; it’s because people with schizophrenia are treated differently. The rate of homelessness is determined not by how many people have that condition [eg, schizophrenia] but by how we treat those people and how we set up our society to either support or not support people who have disabilities.”
The study was funded by the Precision Care With Information, Science and Experience – Mental Health grant funded by the Calgary Health Foundation. Dr. Barry is supported by the Harley Hotchkiss Samuel Weiss Postdoctoral Fellowship awarded by the Hotchkiss Brain Institute at the University of Calgary. Dr. Barry reported having no relevant financial relationships. Dr. Seitz reported grants from Calgary Health Foundation during the conduct of the study as well as grants from University Health Foundation, the Canadian Institutes of Health Research, the Public Health Agency of Canada, the Alzheimer’s Association, and the Hotchkiss Brain Institute. He received honoraria for guideline development from the Canadian Coalition for Seniors Mental Health outside the submitted work. Dr. Hwang reported no relevant financial relationships.
A version of this article appeared on Medscape.com.
Childhood Weight-Related Trauma Can Last into Adulthood
“Internalised weight stigma” happens when a person adopts negative obesity-related stereotypes, such as thinking they are less attractive, less competent, or less valuable as a person due to their weight, even in situations where their BMI suggests such a view is not valid.
Researchers at the universities of Bristol and Leeds, with colleagues at institutions interested in weight and mental health issues, analyzed the link between internalised weight stigma in adulthood and adolescent experiences and social circumstances. Their work used data obtained as part of Bristol University’s ongoing Children of the 90s project. This recruited thousands of pregnant women between 1990 and 1991, and has now followed the health of them and their families for more than 30 years.
The investigation, published in The Lancet Regional Health, examined differences in internalised weight stigma in more than 4000 people aged 31 years, focusing on effects of sex, ethnicity, socioeconomic factors, sexual orientation, and family and wider social influences in childhood and adolescence. The data were obtained from responses to 11 targeted questions included within the more general questionnaire completed by Children of the 90s participants when aged 31.
Effects Unrelated to Weight
Social epidemiologist Amanda Hughes, BSc, MSc, PhD, at the MRC Epidemiology Unit in Bristol Medical School, first author of the research report, said that the study “was not about what weight you think you are, but about how that relates to your view of yourself as a human being.” She explained that the research identified factors that led to higher levels of long-term internalised weight stigma in adults two decades after negative experiences in childhood or youth, “regardless of what their actual weight was.” Even people in the acceptable BMI range had levels of internalised weight stigma that were associated with experiences around two decades earlier.
The headline finding of the study was that those most at risk of developing internalised weight stigma were females, sexual minorities, and people experiencing socioeconomic disadvantage. People who as teenagers felt pressure to lose weight from family, wider social interactions, or the media were also at elevated risk.
“There are definitely inequalities in who was affected by this psychologically,” Dr. Hughes said, and the inequalities were associated with the sex, nonheterosexuality, or socioeconomic circumstances, rather than being explained by differences in BMI. The differences in the psychological impact of negative early-life weight-related experiences, such as pressure from family, teasing, bullying, and general weight-shaming, showed up even among people of the same weight.
Dr. Hughes emphasized that the new value of this research comes from its sample size, the general spread of people sampled, and the long length of time over which the relationships between experiences and effects were analyzed. Previous evidence, globally, has come from small and nonrepresentative samples, such as psychology undergraduates or people engaged in weight management programs.
Rebecca Puhl, PhD, professor of human development and family sciences at Connecticut University, an internationally prominent researcher of internalized weight stigma issues, said: “This study adds new insights to the increasing evidence on internalised weight bias. Their findings that internalised weight bias is elevated among individuals with sexual minority identities and those with socioeconomically disadvantaged backgrounds highlight the importance of addressing weight stigma and its consequences among populations with multiple stigmatised identities.” She added that the findings “reiterate the need for far-reaching stigma reduction interventions.” Dr. Puhl was not involved in this study.
Promote Healthy, Not Thin
Dr. Hughes stressed that interventions to address the issue, by efforts to change attitudes in family life, the media, and other approaches, should continue to promote healthy weight management amongst youngsters, while avoiding the dangers of inappropriate stigma and the resulting mental health problems.
“The crucial thing is … don’t frame [nutritional guidance] in terms of: if you do these things you’ll be thinner and thinner is better,” Dr. Hughes said. She stressed that the most important approach is to promote good nutrition for health, without making it all about being thin.
Dr. Hughes said there are many further things the researchers would like to do to take their work forward, including getting a more detailed look at the psychological processes involved and the relationship between internalised weight stigma and other aspects of mental health.
Dr. Hughes has no relevant interests to disclose. Dr. Puhl has no relevant interests to disclose, but is currently receiving funding from Eli Lilly.
A version of this article appeared on Medscape.com.
“Internalised weight stigma” happens when a person adopts negative obesity-related stereotypes, such as thinking they are less attractive, less competent, or less valuable as a person due to their weight, even in situations where their BMI suggests such a view is not valid.
Researchers at the universities of Bristol and Leeds, with colleagues at institutions interested in weight and mental health issues, analyzed the link between internalised weight stigma in adulthood and adolescent experiences and social circumstances. Their work used data obtained as part of Bristol University’s ongoing Children of the 90s project. This recruited thousands of pregnant women between 1990 and 1991, and has now followed the health of them and their families for more than 30 years.
The investigation, published in The Lancet Regional Health, examined differences in internalised weight stigma in more than 4000 people aged 31 years, focusing on effects of sex, ethnicity, socioeconomic factors, sexual orientation, and family and wider social influences in childhood and adolescence. The data were obtained from responses to 11 targeted questions included within the more general questionnaire completed by Children of the 90s participants when aged 31.
Effects Unrelated to Weight
Social epidemiologist Amanda Hughes, BSc, MSc, PhD, at the MRC Epidemiology Unit in Bristol Medical School, first author of the research report, said that the study “was not about what weight you think you are, but about how that relates to your view of yourself as a human being.” She explained that the research identified factors that led to higher levels of long-term internalised weight stigma in adults two decades after negative experiences in childhood or youth, “regardless of what their actual weight was.” Even people in the acceptable BMI range had levels of internalised weight stigma that were associated with experiences around two decades earlier.
The headline finding of the study was that those most at risk of developing internalised weight stigma were females, sexual minorities, and people experiencing socioeconomic disadvantage. People who as teenagers felt pressure to lose weight from family, wider social interactions, or the media were also at elevated risk.
“There are definitely inequalities in who was affected by this psychologically,” Dr. Hughes said, and the inequalities were associated with the sex, nonheterosexuality, or socioeconomic circumstances, rather than being explained by differences in BMI. The differences in the psychological impact of negative early-life weight-related experiences, such as pressure from family, teasing, bullying, and general weight-shaming, showed up even among people of the same weight.
Dr. Hughes emphasized that the new value of this research comes from its sample size, the general spread of people sampled, and the long length of time over which the relationships between experiences and effects were analyzed. Previous evidence, globally, has come from small and nonrepresentative samples, such as psychology undergraduates or people engaged in weight management programs.
Rebecca Puhl, PhD, professor of human development and family sciences at Connecticut University, an internationally prominent researcher of internalized weight stigma issues, said: “This study adds new insights to the increasing evidence on internalised weight bias. Their findings that internalised weight bias is elevated among individuals with sexual minority identities and those with socioeconomically disadvantaged backgrounds highlight the importance of addressing weight stigma and its consequences among populations with multiple stigmatised identities.” She added that the findings “reiterate the need for far-reaching stigma reduction interventions.” Dr. Puhl was not involved in this study.
Promote Healthy, Not Thin
Dr. Hughes stressed that interventions to address the issue, by efforts to change attitudes in family life, the media, and other approaches, should continue to promote healthy weight management amongst youngsters, while avoiding the dangers of inappropriate stigma and the resulting mental health problems.
“The crucial thing is … don’t frame [nutritional guidance] in terms of: if you do these things you’ll be thinner and thinner is better,” Dr. Hughes said. She stressed that the most important approach is to promote good nutrition for health, without making it all about being thin.
Dr. Hughes said there are many further things the researchers would like to do to take their work forward, including getting a more detailed look at the psychological processes involved and the relationship between internalised weight stigma and other aspects of mental health.
Dr. Hughes has no relevant interests to disclose. Dr. Puhl has no relevant interests to disclose, but is currently receiving funding from Eli Lilly.
A version of this article appeared on Medscape.com.
“Internalised weight stigma” happens when a person adopts negative obesity-related stereotypes, such as thinking they are less attractive, less competent, or less valuable as a person due to their weight, even in situations where their BMI suggests such a view is not valid.
Researchers at the universities of Bristol and Leeds, with colleagues at institutions interested in weight and mental health issues, analyzed the link between internalised weight stigma in adulthood and adolescent experiences and social circumstances. Their work used data obtained as part of Bristol University’s ongoing Children of the 90s project. This recruited thousands of pregnant women between 1990 and 1991, and has now followed the health of them and their families for more than 30 years.
The investigation, published in The Lancet Regional Health, examined differences in internalised weight stigma in more than 4000 people aged 31 years, focusing on effects of sex, ethnicity, socioeconomic factors, sexual orientation, and family and wider social influences in childhood and adolescence. The data were obtained from responses to 11 targeted questions included within the more general questionnaire completed by Children of the 90s participants when aged 31.
Effects Unrelated to Weight
Social epidemiologist Amanda Hughes, BSc, MSc, PhD, at the MRC Epidemiology Unit in Bristol Medical School, first author of the research report, said that the study “was not about what weight you think you are, but about how that relates to your view of yourself as a human being.” She explained that the research identified factors that led to higher levels of long-term internalised weight stigma in adults two decades after negative experiences in childhood or youth, “regardless of what their actual weight was.” Even people in the acceptable BMI range had levels of internalised weight stigma that were associated with experiences around two decades earlier.
The headline finding of the study was that those most at risk of developing internalised weight stigma were females, sexual minorities, and people experiencing socioeconomic disadvantage. People who as teenagers felt pressure to lose weight from family, wider social interactions, or the media were also at elevated risk.
“There are definitely inequalities in who was affected by this psychologically,” Dr. Hughes said, and the inequalities were associated with the sex, nonheterosexuality, or socioeconomic circumstances, rather than being explained by differences in BMI. The differences in the psychological impact of negative early-life weight-related experiences, such as pressure from family, teasing, bullying, and general weight-shaming, showed up even among people of the same weight.
Dr. Hughes emphasized that the new value of this research comes from its sample size, the general spread of people sampled, and the long length of time over which the relationships between experiences and effects were analyzed. Previous evidence, globally, has come from small and nonrepresentative samples, such as psychology undergraduates or people engaged in weight management programs.
Rebecca Puhl, PhD, professor of human development and family sciences at Connecticut University, an internationally prominent researcher of internalized weight stigma issues, said: “This study adds new insights to the increasing evidence on internalised weight bias. Their findings that internalised weight bias is elevated among individuals with sexual minority identities and those with socioeconomically disadvantaged backgrounds highlight the importance of addressing weight stigma and its consequences among populations with multiple stigmatised identities.” She added that the findings “reiterate the need for far-reaching stigma reduction interventions.” Dr. Puhl was not involved in this study.
Promote Healthy, Not Thin
Dr. Hughes stressed that interventions to address the issue, by efforts to change attitudes in family life, the media, and other approaches, should continue to promote healthy weight management amongst youngsters, while avoiding the dangers of inappropriate stigma and the resulting mental health problems.
“The crucial thing is … don’t frame [nutritional guidance] in terms of: if you do these things you’ll be thinner and thinner is better,” Dr. Hughes said. She stressed that the most important approach is to promote good nutrition for health, without making it all about being thin.
Dr. Hughes said there are many further things the researchers would like to do to take their work forward, including getting a more detailed look at the psychological processes involved and the relationship between internalised weight stigma and other aspects of mental health.
Dr. Hughes has no relevant interests to disclose. Dr. Puhl has no relevant interests to disclose, but is currently receiving funding from Eli Lilly.
A version of this article appeared on Medscape.com.
FROM THE LANCET REGIONAL HEALTH
Dramatic Increase in College Student Suicide Rates
TOPLINE:
, a new study by the National Collegiate Athletic Association (NCAA) found.
METHODOLOGY:
- Investigators analyzed deaths between 2002 and 2022, using Poisson regression models to assess changes in incidence rates over time.
- Data were drawn from the NCAA death database, which includes death from any cause, and included demographic characteristics such as age and race and sporting discipline.
- They utilized linear and quadratic fits between year and suicide incidence for men and women.
- Given the low incidence of suicide deaths per year, the incidence rate was multiplied by 100,000 to calculate the incidence per 100,000 athlete-years (AYs).
TAKEAWAY:
- Of 1102 total deaths, 11.6% were due to suicide (98 men, 30 women).
- Athletes who died by suicide ranged in age from 17 to 24 years (mean, 20 years) were predominantly men (77%) and White (59%), with the highest suicide incidence rate among male cross-country athletes (1:29 per 815 AYs).
- The overall incidence of suicide was 1:71 per 145 AYs.
- Over the last 10 years, suicide was the second most common cause of death after accidents, with the proportion of deaths by suicide doubling from the first to the second decades (7.6% to 15.3%).
- Among men, the suicide incidence rate increased in a linear fashion (5-year incidence rate ratio, 1.32; 95% CI, 1.14-1.53), while among women, a quadratic association was identified (P = .002), with the incidence rate reaching its lowest point in women from 2010 to 2011 and increasing thereafter.
IN PRACTICE:
“Athletes are generally thought of as one of the healthiest populations in our society, yet the pressures of school, internal and external performance expectations, time demands, injury, athletic identity, and physical fatigue can lead to depression, mental health problems, and suicide,” the authors wrote. “Although the rate of suicide among collegiate athletes remains lower than the general population, it is important to recognize the parallel increase to ensure this population is not overlooked when assessing for risk factors and implementing prevention strategies.”
SOURCE:
Bridget M. Whelan, MPH, research scientist in the Department of Family Medicine, Sports Medicine Section, University of Washington School of Medicine, Seattle, was the lead and corresponding author on the study, which was published online in the British Journal of Sports Medicine.
LIMITATIONS:
There is no mandatory reporting system for athlete deaths in the United States, and investigators’ search identified 16 deaths with unknown causes, suggesting reported suicide incidence rates may be underestimated. Additionally, in cases of overdose that were not clearly intentional, the death was listed as “overdose,” possibly resulting in underreporting of suicide.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
TOPLINE:
, a new study by the National Collegiate Athletic Association (NCAA) found.
METHODOLOGY:
- Investigators analyzed deaths between 2002 and 2022, using Poisson regression models to assess changes in incidence rates over time.
- Data were drawn from the NCAA death database, which includes death from any cause, and included demographic characteristics such as age and race and sporting discipline.
- They utilized linear and quadratic fits between year and suicide incidence for men and women.
- Given the low incidence of suicide deaths per year, the incidence rate was multiplied by 100,000 to calculate the incidence per 100,000 athlete-years (AYs).
TAKEAWAY:
- Of 1102 total deaths, 11.6% were due to suicide (98 men, 30 women).
- Athletes who died by suicide ranged in age from 17 to 24 years (mean, 20 years) were predominantly men (77%) and White (59%), with the highest suicide incidence rate among male cross-country athletes (1:29 per 815 AYs).
- The overall incidence of suicide was 1:71 per 145 AYs.
- Over the last 10 years, suicide was the second most common cause of death after accidents, with the proportion of deaths by suicide doubling from the first to the second decades (7.6% to 15.3%).
- Among men, the suicide incidence rate increased in a linear fashion (5-year incidence rate ratio, 1.32; 95% CI, 1.14-1.53), while among women, a quadratic association was identified (P = .002), with the incidence rate reaching its lowest point in women from 2010 to 2011 and increasing thereafter.
IN PRACTICE:
“Athletes are generally thought of as one of the healthiest populations in our society, yet the pressures of school, internal and external performance expectations, time demands, injury, athletic identity, and physical fatigue can lead to depression, mental health problems, and suicide,” the authors wrote. “Although the rate of suicide among collegiate athletes remains lower than the general population, it is important to recognize the parallel increase to ensure this population is not overlooked when assessing for risk factors and implementing prevention strategies.”
SOURCE:
Bridget M. Whelan, MPH, research scientist in the Department of Family Medicine, Sports Medicine Section, University of Washington School of Medicine, Seattle, was the lead and corresponding author on the study, which was published online in the British Journal of Sports Medicine.
LIMITATIONS:
There is no mandatory reporting system for athlete deaths in the United States, and investigators’ search identified 16 deaths with unknown causes, suggesting reported suicide incidence rates may be underestimated. Additionally, in cases of overdose that were not clearly intentional, the death was listed as “overdose,” possibly resulting in underreporting of suicide.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
TOPLINE:
, a new study by the National Collegiate Athletic Association (NCAA) found.
METHODOLOGY:
- Investigators analyzed deaths between 2002 and 2022, using Poisson regression models to assess changes in incidence rates over time.
- Data were drawn from the NCAA death database, which includes death from any cause, and included demographic characteristics such as age and race and sporting discipline.
- They utilized linear and quadratic fits between year and suicide incidence for men and women.
- Given the low incidence of suicide deaths per year, the incidence rate was multiplied by 100,000 to calculate the incidence per 100,000 athlete-years (AYs).
TAKEAWAY:
- Of 1102 total deaths, 11.6% were due to suicide (98 men, 30 women).
- Athletes who died by suicide ranged in age from 17 to 24 years (mean, 20 years) were predominantly men (77%) and White (59%), with the highest suicide incidence rate among male cross-country athletes (1:29 per 815 AYs).
- The overall incidence of suicide was 1:71 per 145 AYs.
- Over the last 10 years, suicide was the second most common cause of death after accidents, with the proportion of deaths by suicide doubling from the first to the second decades (7.6% to 15.3%).
- Among men, the suicide incidence rate increased in a linear fashion (5-year incidence rate ratio, 1.32; 95% CI, 1.14-1.53), while among women, a quadratic association was identified (P = .002), with the incidence rate reaching its lowest point in women from 2010 to 2011 and increasing thereafter.
IN PRACTICE:
“Athletes are generally thought of as one of the healthiest populations in our society, yet the pressures of school, internal and external performance expectations, time demands, injury, athletic identity, and physical fatigue can lead to depression, mental health problems, and suicide,” the authors wrote. “Although the rate of suicide among collegiate athletes remains lower than the general population, it is important to recognize the parallel increase to ensure this population is not overlooked when assessing for risk factors and implementing prevention strategies.”
SOURCE:
Bridget M. Whelan, MPH, research scientist in the Department of Family Medicine, Sports Medicine Section, University of Washington School of Medicine, Seattle, was the lead and corresponding author on the study, which was published online in the British Journal of Sports Medicine.
LIMITATIONS:
There is no mandatory reporting system for athlete deaths in the United States, and investigators’ search identified 16 deaths with unknown causes, suggesting reported suicide incidence rates may be underestimated. Additionally, in cases of overdose that were not clearly intentional, the death was listed as “overdose,” possibly resulting in underreporting of suicide.
DISCLOSURES:
No source of study funding was listed. The authors disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.