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Overburdened: Health care workers more likely to die by suicide
This transcript has been edited for clarity.
Welcome to Impact Factor, your weekly dose of commentary on a new medical study.
If you run into a health care provider these days and ask, “How are you doing?” you’re likely to get a response like this one: “You know, hanging in there.” You smile and move on. But it may be time to go a step further. If you ask that next question – “No, really, how are you doing?” Well, you might need to carve out some time.
It’s been a rough few years for those of us in the health care professions. Our lives, dominated by COVID-related concerns at home, were equally dominated by COVID concerns at work. On the job, there were fewer and fewer of us around as exploitation and COVID-related stressors led doctors, nurses, and others to leave the profession entirely or take early retirement. Even now, I’m not sure we’ve recovered. Staffing in the hospitals is still a huge problem, and the persistence of impersonal meetings via teleconference – which not only prevent any sort of human connection but, audaciously, run from one into another without a break – robs us of even the subtle joy of walking from one hallway to another for 5 minutes of reflection before sitting down to view the next hastily cobbled together PowerPoint.
I’m speaking in generalities, of course.
I’m talking about how bad things are now because, in truth, they’ve never been great. And that may be why health care workers – people with jobs focused on serving others – are nevertheless at substantially increased risk for suicide.
Analyses through the years have shown that physicians tend to have higher rates of death from suicide than the general population. There are reasons for this that may not entirely be because of work-related stress. Doctors’ suicide attempts are more often lethal – we know what is likely to work, after all.
And, according to this paper in JAMA, it is those people who may be suffering most of all.
The study is a nationally representative sample based on the 2008 American Community Survey. Records were linked to the National Death Index through 2019.
Survey respondents were classified into five categories of health care worker, as you can see here. And 1,666,000 non–health care workers served as the control group.
Let’s take a look at the numbers.
I’m showing you age- and sex-standardized rates of death from suicide, starting with non–health care workers. In this study, physicians have similar rates of death from suicide to the general population. Nurses have higher rates, but health care support workers – nurses’ aides, home health aides – have rates nearly twice that of the general population.
Only social and behavioral health workers had rates lower than those in the general population, perhaps because they know how to access life-saving resources.
Of course, these groups differ in a lot of ways – education and income, for example. But even after adjustment for these factors as well as for sex, race, and marital status, the results persist. The only group with even a trend toward lower suicide rates are social and behavioral health workers.
There has been much hand-wringing about rates of physician suicide in the past. It is still a very real problem. But this paper finally highlights that there is a lot more to the health care profession than physicians. It’s time we acknowledge and support the people in our profession who seem to be suffering more than any of us: the aides, the techs, the support staff – the overworked and underpaid who have to deal with all the stresses that physicians like me face and then some.
There’s more to suicide risk than just your job; I know that. Family matters. Relationships matter. Medical and psychiatric illnesses matter. But to ignore this problem when it is right here, in our own house so to speak, can’t continue.
Might I suggest we start by asking someone in our profession – whether doctor, nurse, aide, or tech – how they are doing. How they are really doing. And when we are done listening, we use what we hear to advocate for real change.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Welcome to Impact Factor, your weekly dose of commentary on a new medical study.
If you run into a health care provider these days and ask, “How are you doing?” you’re likely to get a response like this one: “You know, hanging in there.” You smile and move on. But it may be time to go a step further. If you ask that next question – “No, really, how are you doing?” Well, you might need to carve out some time.
It’s been a rough few years for those of us in the health care professions. Our lives, dominated by COVID-related concerns at home, were equally dominated by COVID concerns at work. On the job, there were fewer and fewer of us around as exploitation and COVID-related stressors led doctors, nurses, and others to leave the profession entirely or take early retirement. Even now, I’m not sure we’ve recovered. Staffing in the hospitals is still a huge problem, and the persistence of impersonal meetings via teleconference – which not only prevent any sort of human connection but, audaciously, run from one into another without a break – robs us of even the subtle joy of walking from one hallway to another for 5 minutes of reflection before sitting down to view the next hastily cobbled together PowerPoint.
I’m speaking in generalities, of course.
I’m talking about how bad things are now because, in truth, they’ve never been great. And that may be why health care workers – people with jobs focused on serving others – are nevertheless at substantially increased risk for suicide.
Analyses through the years have shown that physicians tend to have higher rates of death from suicide than the general population. There are reasons for this that may not entirely be because of work-related stress. Doctors’ suicide attempts are more often lethal – we know what is likely to work, after all.
And, according to this paper in JAMA, it is those people who may be suffering most of all.
The study is a nationally representative sample based on the 2008 American Community Survey. Records were linked to the National Death Index through 2019.
Survey respondents were classified into five categories of health care worker, as you can see here. And 1,666,000 non–health care workers served as the control group.
Let’s take a look at the numbers.
I’m showing you age- and sex-standardized rates of death from suicide, starting with non–health care workers. In this study, physicians have similar rates of death from suicide to the general population. Nurses have higher rates, but health care support workers – nurses’ aides, home health aides – have rates nearly twice that of the general population.
Only social and behavioral health workers had rates lower than those in the general population, perhaps because they know how to access life-saving resources.
Of course, these groups differ in a lot of ways – education and income, for example. But even after adjustment for these factors as well as for sex, race, and marital status, the results persist. The only group with even a trend toward lower suicide rates are social and behavioral health workers.
There has been much hand-wringing about rates of physician suicide in the past. It is still a very real problem. But this paper finally highlights that there is a lot more to the health care profession than physicians. It’s time we acknowledge and support the people in our profession who seem to be suffering more than any of us: the aides, the techs, the support staff – the overworked and underpaid who have to deal with all the stresses that physicians like me face and then some.
There’s more to suicide risk than just your job; I know that. Family matters. Relationships matter. Medical and psychiatric illnesses matter. But to ignore this problem when it is right here, in our own house so to speak, can’t continue.
Might I suggest we start by asking someone in our profession – whether doctor, nurse, aide, or tech – how they are doing. How they are really doing. And when we are done listening, we use what we hear to advocate for real change.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Welcome to Impact Factor, your weekly dose of commentary on a new medical study.
If you run into a health care provider these days and ask, “How are you doing?” you’re likely to get a response like this one: “You know, hanging in there.” You smile and move on. But it may be time to go a step further. If you ask that next question – “No, really, how are you doing?” Well, you might need to carve out some time.
It’s been a rough few years for those of us in the health care professions. Our lives, dominated by COVID-related concerns at home, were equally dominated by COVID concerns at work. On the job, there were fewer and fewer of us around as exploitation and COVID-related stressors led doctors, nurses, and others to leave the profession entirely or take early retirement. Even now, I’m not sure we’ve recovered. Staffing in the hospitals is still a huge problem, and the persistence of impersonal meetings via teleconference – which not only prevent any sort of human connection but, audaciously, run from one into another without a break – robs us of even the subtle joy of walking from one hallway to another for 5 minutes of reflection before sitting down to view the next hastily cobbled together PowerPoint.
I’m speaking in generalities, of course.
I’m talking about how bad things are now because, in truth, they’ve never been great. And that may be why health care workers – people with jobs focused on serving others – are nevertheless at substantially increased risk for suicide.
Analyses through the years have shown that physicians tend to have higher rates of death from suicide than the general population. There are reasons for this that may not entirely be because of work-related stress. Doctors’ suicide attempts are more often lethal – we know what is likely to work, after all.
And, according to this paper in JAMA, it is those people who may be suffering most of all.
The study is a nationally representative sample based on the 2008 American Community Survey. Records were linked to the National Death Index through 2019.
Survey respondents were classified into five categories of health care worker, as you can see here. And 1,666,000 non–health care workers served as the control group.
Let’s take a look at the numbers.
I’m showing you age- and sex-standardized rates of death from suicide, starting with non–health care workers. In this study, physicians have similar rates of death from suicide to the general population. Nurses have higher rates, but health care support workers – nurses’ aides, home health aides – have rates nearly twice that of the general population.
Only social and behavioral health workers had rates lower than those in the general population, perhaps because they know how to access life-saving resources.
Of course, these groups differ in a lot of ways – education and income, for example. But even after adjustment for these factors as well as for sex, race, and marital status, the results persist. The only group with even a trend toward lower suicide rates are social and behavioral health workers.
There has been much hand-wringing about rates of physician suicide in the past. It is still a very real problem. But this paper finally highlights that there is a lot more to the health care profession than physicians. It’s time we acknowledge and support the people in our profession who seem to be suffering more than any of us: the aides, the techs, the support staff – the overworked and underpaid who have to deal with all the stresses that physicians like me face and then some.
There’s more to suicide risk than just your job; I know that. Family matters. Relationships matter. Medical and psychiatric illnesses matter. But to ignore this problem when it is right here, in our own house so to speak, can’t continue.
Might I suggest we start by asking someone in our profession – whether doctor, nurse, aide, or tech – how they are doing. How they are really doing. And when we are done listening, we use what we hear to advocate for real change.
Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
Artificial sweeteners in processed foods tied to increased depression risk
new data from the Nurses Health Study II (NHS II) suggest.
Nurses who consumed more than eight servings daily had about a 50% higher risk of developing depression than nurses who consumed four or fewer servings daily.
However, in a secondary analysis, in which the researchers tried to tease out specific foods that may be associated with increased risk, only artificial sweeteners and artificially sweetened beverages were associated with an increased risk of depression.
“Animal studies have shown that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” study investigator Andrew T. Chan, MD, MPH, of the clinical and translational epidemiology unit at Massachusetts General Hospital, Boston, said in an interview.
“Given this potential association between ultraprocessed food and multiple adverse health conditions, wherever possible individuals may wish to limit their intake of such foods. This may be a lifestyle change that could have important benefits, particularly for those who struggle with mental health,” Dr. Chan said.
The study was published online in JAMA Network Open.
Multiple potential mechanisms
The findings are based on 31,712 mostly non-Hispanic White women who were free of depression at baseline. The mean age of the patients at baseline was 52 years. As part of the NHS II, the women provided information on diet every 4 years using validated food frequency questionnaires.
Compared with women with low UPF intake, those with high UPF intake had greater body mass index (BMI). In addition, they were apt to smoke and have diabetes, hypertension, and dyslipidemia, and they were less apt to exercise regularly.
During the study period, there were 2,122 incident cases of depression, as determined using a strict definition that required self-reported clinician-diagnosed depression and regular antidepressant use. There were 4,840 incident cases, as determined using a broad definition that required clinical diagnosis and/or antidepressant use.
Compared with women in the lowest quintile of UPF consumption (fewer than four daily servings), those in the highest quintile (more than 8.8 daily servings) had an increased risk of depression.
This was noted for both the strict depression definition (hazard ratio, 1.49; 95% confidence interval, 1.26-1.76; P < .001) and the broad one (HR, 1.34; 95% CI, 1.20-1.50; P < .001).
“Models were not materially altered after inclusion of potential confounders. We did not observe differential associations in subgroups defined by age, BMI, physical activity, or smoking,” the researchers reported.
In secondary analyses, they classified UPF into their components, including ultraprocessed grain foods, sweet snacks, ready-to-eat meals, fats, sauces, ultraprocessed dairy products, savory snacks, processed meat, beverages, and artificial sweeteners.
Comparing the highest with the lowest quintiles, only high intake of artificially sweetened beverages (HR, 1.37; 95% CI, 1.19-1.57; P < .001) and artificial sweeteners (HR, 1.26; 95% CI, 1.10-1.43; P < .001) was associated with greater risk of depression and after multivariable regression.
In an exploratory analysis, women who reduced their UPF intake by at least three servings per day were at lower risk of depression (strict definition: HR, 0.84; 95% CI, 0.71-0.99), compared with those with relatively stable intake in each 4-year period.
“Ultraprocessed foods have been associated with several different health outcomes which may reflect an effect on common pathways that underlie chronic conditions,” said Dr. Chan.
For example, UPF intake has been associated with chronic inflammation, which in turns leads to multiple potential adverse health effects, including depression, he explained.
There is also a link between UPF and disruption of the gut microbiome.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” Dr. Chan said.
Association, not causation
Several experts weighed in on the study results in a statement from the U.K. nonprofit organization, Science Media Centre.
Gunter Kuhnle, PhD, professor of nutrition and food science, University of Reading (England), cautioned that the study only offers information on association – not causation.
“It is very possible that people with depression change their diet and might decide to consume foods that are easier to prepare – which would often be foods considered to be ultraprocessed,” Dr. Kuhnle said.
What’s most interesting is that the association between UPF intake and depression was driven by a single factor – artificial sweeteners.
“This supports one of the main criticisms of the UPF concept, that it combines a wide range of different foods and thereby makes it difficult to identify underlying causes,” Dr. Kuhnle added.
“There are currently no data that link artificial sweetener use to mental health, despite most of them having been available for some time. It is also important to note that there are a wide range of different artificial sweeteners that are metabolized very differently and that there might be reverse causality,” Dr. Kuhnle commented.
Paul Keedwell, MBChB, PhD, consultant psychiatrist and fellow of the Royal College of Psychiatrists, said this is an “interesting and important finding, but one that raises more questions. At this stage, we cannot say how big an effect diet has on depression risk compared to other risk factors, like family history of depression, stress levels, and having a supportive social network.”
Dr. Keedwell noted that the investigators carefully excluded the possibility that the effect is mediated by obesity or lack of exercise.
“However, an important consideration is that a diet based on ready meals and artificially sweetened drinks might indicate a hectic lifestyle or one with shift work. In other words, a fast-food diet could be an indirect marker of chronic stress. Prolonged stress probably remains the main risk factor for depression,” Dr. Keedwell said.
Keith Frayn, PhD, professor emeritus of human metabolism, University of Oxford (England), noted that the relationship between artificial sweeteners and depression “stands out clearly” even after adjusting for multiple confounding factors, including BMI, smoking, and exercise.
“This adds to growing concerns about artificial sweeteners and cardiometabolic health. The link with depression needs confirmation and further research to suggest how it might be brought about,” Dr. Frayn cautioned.
The NHS II was funded by a grant from the National Cancer Institute. Dr. Chan reported receiving grants from Bayer and Zoe and personal fees from Boehringer Ingelheim, Pfizer, and Freenome outside this work. Dr. Keedwell and Dr. Kuhnle disclosed no relevant financial relationships. Dr. Frayn is an author of books on nutrition and metabolism.
A version of this article first appeared on Medscape.com.
new data from the Nurses Health Study II (NHS II) suggest.
Nurses who consumed more than eight servings daily had about a 50% higher risk of developing depression than nurses who consumed four or fewer servings daily.
However, in a secondary analysis, in which the researchers tried to tease out specific foods that may be associated with increased risk, only artificial sweeteners and artificially sweetened beverages were associated with an increased risk of depression.
“Animal studies have shown that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” study investigator Andrew T. Chan, MD, MPH, of the clinical and translational epidemiology unit at Massachusetts General Hospital, Boston, said in an interview.
“Given this potential association between ultraprocessed food and multiple adverse health conditions, wherever possible individuals may wish to limit their intake of such foods. This may be a lifestyle change that could have important benefits, particularly for those who struggle with mental health,” Dr. Chan said.
The study was published online in JAMA Network Open.
Multiple potential mechanisms
The findings are based on 31,712 mostly non-Hispanic White women who were free of depression at baseline. The mean age of the patients at baseline was 52 years. As part of the NHS II, the women provided information on diet every 4 years using validated food frequency questionnaires.
Compared with women with low UPF intake, those with high UPF intake had greater body mass index (BMI). In addition, they were apt to smoke and have diabetes, hypertension, and dyslipidemia, and they were less apt to exercise regularly.
During the study period, there were 2,122 incident cases of depression, as determined using a strict definition that required self-reported clinician-diagnosed depression and regular antidepressant use. There were 4,840 incident cases, as determined using a broad definition that required clinical diagnosis and/or antidepressant use.
Compared with women in the lowest quintile of UPF consumption (fewer than four daily servings), those in the highest quintile (more than 8.8 daily servings) had an increased risk of depression.
This was noted for both the strict depression definition (hazard ratio, 1.49; 95% confidence interval, 1.26-1.76; P < .001) and the broad one (HR, 1.34; 95% CI, 1.20-1.50; P < .001).
“Models were not materially altered after inclusion of potential confounders. We did not observe differential associations in subgroups defined by age, BMI, physical activity, or smoking,” the researchers reported.
In secondary analyses, they classified UPF into their components, including ultraprocessed grain foods, sweet snacks, ready-to-eat meals, fats, sauces, ultraprocessed dairy products, savory snacks, processed meat, beverages, and artificial sweeteners.
Comparing the highest with the lowest quintiles, only high intake of artificially sweetened beverages (HR, 1.37; 95% CI, 1.19-1.57; P < .001) and artificial sweeteners (HR, 1.26; 95% CI, 1.10-1.43; P < .001) was associated with greater risk of depression and after multivariable regression.
In an exploratory analysis, women who reduced their UPF intake by at least three servings per day were at lower risk of depression (strict definition: HR, 0.84; 95% CI, 0.71-0.99), compared with those with relatively stable intake in each 4-year period.
“Ultraprocessed foods have been associated with several different health outcomes which may reflect an effect on common pathways that underlie chronic conditions,” said Dr. Chan.
For example, UPF intake has been associated with chronic inflammation, which in turns leads to multiple potential adverse health effects, including depression, he explained.
There is also a link between UPF and disruption of the gut microbiome.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” Dr. Chan said.
Association, not causation
Several experts weighed in on the study results in a statement from the U.K. nonprofit organization, Science Media Centre.
Gunter Kuhnle, PhD, professor of nutrition and food science, University of Reading (England), cautioned that the study only offers information on association – not causation.
“It is very possible that people with depression change their diet and might decide to consume foods that are easier to prepare – which would often be foods considered to be ultraprocessed,” Dr. Kuhnle said.
What’s most interesting is that the association between UPF intake and depression was driven by a single factor – artificial sweeteners.
“This supports one of the main criticisms of the UPF concept, that it combines a wide range of different foods and thereby makes it difficult to identify underlying causes,” Dr. Kuhnle added.
“There are currently no data that link artificial sweetener use to mental health, despite most of them having been available for some time. It is also important to note that there are a wide range of different artificial sweeteners that are metabolized very differently and that there might be reverse causality,” Dr. Kuhnle commented.
Paul Keedwell, MBChB, PhD, consultant psychiatrist and fellow of the Royal College of Psychiatrists, said this is an “interesting and important finding, but one that raises more questions. At this stage, we cannot say how big an effect diet has on depression risk compared to other risk factors, like family history of depression, stress levels, and having a supportive social network.”
Dr. Keedwell noted that the investigators carefully excluded the possibility that the effect is mediated by obesity or lack of exercise.
“However, an important consideration is that a diet based on ready meals and artificially sweetened drinks might indicate a hectic lifestyle or one with shift work. In other words, a fast-food diet could be an indirect marker of chronic stress. Prolonged stress probably remains the main risk factor for depression,” Dr. Keedwell said.
Keith Frayn, PhD, professor emeritus of human metabolism, University of Oxford (England), noted that the relationship between artificial sweeteners and depression “stands out clearly” even after adjusting for multiple confounding factors, including BMI, smoking, and exercise.
“This adds to growing concerns about artificial sweeteners and cardiometabolic health. The link with depression needs confirmation and further research to suggest how it might be brought about,” Dr. Frayn cautioned.
The NHS II was funded by a grant from the National Cancer Institute. Dr. Chan reported receiving grants from Bayer and Zoe and personal fees from Boehringer Ingelheim, Pfizer, and Freenome outside this work. Dr. Keedwell and Dr. Kuhnle disclosed no relevant financial relationships. Dr. Frayn is an author of books on nutrition and metabolism.
A version of this article first appeared on Medscape.com.
new data from the Nurses Health Study II (NHS II) suggest.
Nurses who consumed more than eight servings daily had about a 50% higher risk of developing depression than nurses who consumed four or fewer servings daily.
However, in a secondary analysis, in which the researchers tried to tease out specific foods that may be associated with increased risk, only artificial sweeteners and artificially sweetened beverages were associated with an increased risk of depression.
“Animal studies have shown that artificial sweeteners may trigger the transmission of particular signaling molecules in the brain that are important for mood,” study investigator Andrew T. Chan, MD, MPH, of the clinical and translational epidemiology unit at Massachusetts General Hospital, Boston, said in an interview.
“Given this potential association between ultraprocessed food and multiple adverse health conditions, wherever possible individuals may wish to limit their intake of such foods. This may be a lifestyle change that could have important benefits, particularly for those who struggle with mental health,” Dr. Chan said.
The study was published online in JAMA Network Open.
Multiple potential mechanisms
The findings are based on 31,712 mostly non-Hispanic White women who were free of depression at baseline. The mean age of the patients at baseline was 52 years. As part of the NHS II, the women provided information on diet every 4 years using validated food frequency questionnaires.
Compared with women with low UPF intake, those with high UPF intake had greater body mass index (BMI). In addition, they were apt to smoke and have diabetes, hypertension, and dyslipidemia, and they were less apt to exercise regularly.
During the study period, there were 2,122 incident cases of depression, as determined using a strict definition that required self-reported clinician-diagnosed depression and regular antidepressant use. There were 4,840 incident cases, as determined using a broad definition that required clinical diagnosis and/or antidepressant use.
Compared with women in the lowest quintile of UPF consumption (fewer than four daily servings), those in the highest quintile (more than 8.8 daily servings) had an increased risk of depression.
This was noted for both the strict depression definition (hazard ratio, 1.49; 95% confidence interval, 1.26-1.76; P < .001) and the broad one (HR, 1.34; 95% CI, 1.20-1.50; P < .001).
“Models were not materially altered after inclusion of potential confounders. We did not observe differential associations in subgroups defined by age, BMI, physical activity, or smoking,” the researchers reported.
In secondary analyses, they classified UPF into their components, including ultraprocessed grain foods, sweet snacks, ready-to-eat meals, fats, sauces, ultraprocessed dairy products, savory snacks, processed meat, beverages, and artificial sweeteners.
Comparing the highest with the lowest quintiles, only high intake of artificially sweetened beverages (HR, 1.37; 95% CI, 1.19-1.57; P < .001) and artificial sweeteners (HR, 1.26; 95% CI, 1.10-1.43; P < .001) was associated with greater risk of depression and after multivariable regression.
In an exploratory analysis, women who reduced their UPF intake by at least three servings per day were at lower risk of depression (strict definition: HR, 0.84; 95% CI, 0.71-0.99), compared with those with relatively stable intake in each 4-year period.
“Ultraprocessed foods have been associated with several different health outcomes which may reflect an effect on common pathways that underlie chronic conditions,” said Dr. Chan.
For example, UPF intake has been associated with chronic inflammation, which in turns leads to multiple potential adverse health effects, including depression, he explained.
There is also a link between UPF and disruption of the gut microbiome.
“This is an important potential mechanism linking ultraprocessed food to depression since there is emerging evidence that microbes in the gut have been linked with mood through their role in metabolizing and producing proteins that have activity in the brain,” Dr. Chan said.
Association, not causation
Several experts weighed in on the study results in a statement from the U.K. nonprofit organization, Science Media Centre.
Gunter Kuhnle, PhD, professor of nutrition and food science, University of Reading (England), cautioned that the study only offers information on association – not causation.
“It is very possible that people with depression change their diet and might decide to consume foods that are easier to prepare – which would often be foods considered to be ultraprocessed,” Dr. Kuhnle said.
What’s most interesting is that the association between UPF intake and depression was driven by a single factor – artificial sweeteners.
“This supports one of the main criticisms of the UPF concept, that it combines a wide range of different foods and thereby makes it difficult to identify underlying causes,” Dr. Kuhnle added.
“There are currently no data that link artificial sweetener use to mental health, despite most of them having been available for some time. It is also important to note that there are a wide range of different artificial sweeteners that are metabolized very differently and that there might be reverse causality,” Dr. Kuhnle commented.
Paul Keedwell, MBChB, PhD, consultant psychiatrist and fellow of the Royal College of Psychiatrists, said this is an “interesting and important finding, but one that raises more questions. At this stage, we cannot say how big an effect diet has on depression risk compared to other risk factors, like family history of depression, stress levels, and having a supportive social network.”
Dr. Keedwell noted that the investigators carefully excluded the possibility that the effect is mediated by obesity or lack of exercise.
“However, an important consideration is that a diet based on ready meals and artificially sweetened drinks might indicate a hectic lifestyle or one with shift work. In other words, a fast-food diet could be an indirect marker of chronic stress. Prolonged stress probably remains the main risk factor for depression,” Dr. Keedwell said.
Keith Frayn, PhD, professor emeritus of human metabolism, University of Oxford (England), noted that the relationship between artificial sweeteners and depression “stands out clearly” even after adjusting for multiple confounding factors, including BMI, smoking, and exercise.
“This adds to growing concerns about artificial sweeteners and cardiometabolic health. The link with depression needs confirmation and further research to suggest how it might be brought about,” Dr. Frayn cautioned.
The NHS II was funded by a grant from the National Cancer Institute. Dr. Chan reported receiving grants from Bayer and Zoe and personal fees from Boehringer Ingelheim, Pfizer, and Freenome outside this work. Dr. Keedwell and Dr. Kuhnle disclosed no relevant financial relationships. Dr. Frayn is an author of books on nutrition and metabolism.
A version of this article first appeared on Medscape.com.
FROM JAMA NETWORK OPEN
Online CBT aids remission of anxiety, depression in students
, according to a study published in JAMA Psychiatry . The intervention was developed by researchers from the United States, Mexico, and Colombia and studied in undergraduate university students.
The research included 1,319 students with anxiety and depression. The students were randomly assigned to three groups that received either remote (internet-based) cognitive behavioral therapy guided by a therapist, self-guided cognitive behavioral therapy (without support from a therapist), or standard treatment provided by the health care services within their community (the control condition).
Students who received guided cognitive behavioral therapy had higher combined rates of remission of these disorders (51.8%) than students who received self-guided therapy (37.8%) or conventional therapy (40%). These differences were not significant for remission of anxiety, however.
Guided cognitive behavioral therapy was associated with the highest probability of remission of anxiety and depression in 91.7% of students, the highest probability of remission of anxiety in all students, and the highest probability of remission of depression in 71.5% of participants.
The results of this analysis could be used to improve psychological care by optimizing how different treatment methods are assigned, especially in mental health institutions where available technical and human resources are limited, according to the investigators.
“We started designing this study before COVID-19 with the idea of optimizing care for these mental health problems,” said study author Corina Benjet Miner, PhD, an epidemiological and psychosocial researcher at the Ramón de la Fuente National Institute of Psychiatry, Mexico City. “We wanted to find additional strategies to achieve better care. The pandemic helped us because, even though this has been undergoing research for many years, internet-delivered interventions were not as well accepted. But during the pandemic, there weren’t any other options.”
Given the high prevalence of mental disorders before and after the pandemic, no health care system in the world would be able to provide in-person care to each patient with depression or anxiety, said Dr. Benjet Miner. “So, the idea is to look for other cost-effective strategies that can ramp up our interventions and reach a greater number of people without negatively impacting the quality of care,” she explained.
“I believe that [the precision model] is an excellent proposal that can save financial resources and avoid transfers,” said Juana Olvera Méndez, PhD, research professor working with the cognitive behavioral approach at the Iztacala Faculty of Higher Studies (FESI) of the National Autonomous University of Mexico, Mexico City. “It also makes it possible to provide patients with immediate care, in contrast to when someone has to go in for [in-person] therapy, which will depend a lot on how the therapist approaches the situation.”
Students from seven universities in Colombia and Mexico were included in the study. They were aged 18 years or older and had a score of 10 or greater on the self-administered Generalized Anxiety Disorder scale-7 test, or had depression with scores of 10 or greater on the nine-item Patient Health Questionnaire, which is also self-administered.
The study’s exclusion criteria included a history of bipolar disorder, nonaffective psychosis, or suicidal ideation with suicide attempts. The investigators used 284 prescription predictors to anticipate the differential response to antianxiety and antidepression therapy.
By grouping these predictors into 11 conceptual categories (such as demographic characteristics, COVID-19–linked stressors, or mental disorder comorbidities) and using machine learning algorithms, the investigators were able to predict in an individualized manner the probability of remission for participants in each of the groups.
“For depression, we found that 28.5% of patients could experience better or equivalent effects from the self-guided program (in comparison to the guided program). Once you have this program, it doesn’t cost anything, so there could be a massive number of people who could benefit from a cost-free therapy,” said Dr. Benjet Miner.
While numerous studies in precision medicine have tried to determine the most appropriate treatment for each patient, “they don’t have the high number of predictors that we used in this research, and I feel like this gives us a significant edge,” she added.
She also explained that they found no differences in user satisfaction between the guided and unguided version of the therapy, so now they must discover why the guided version works better. One notable point is that patients accessed (online) the guided program twice as many times as those who used the self-guided version, but the number of times used is not enough to explain the better outcomes.
“We believe that patients develop some sort of connection with the guides, who are not providing therapy but only making recommendations in brief interactions with patients once a week. It has something to do with that connection, in addition to the longer time spent interacting with the platform, which provides better results with the guided version,” stated Dr. Benjet Miner.
One of the main limitations of this study is that, though it compares three treatment methods, the third one (standard care) is not homogeneous, because each of the seven universities from which the students were selected has different resources for this purpose. “Some universities, like the National Autonomous University of Mexico, have very formal services, with teams of psychologists and psychiatrists, while others don’t have this type of service, or they cover additional aspects, like vocational counseling. So, it’s very difficult to determine exactly what kind of care patients are receiving, because it’s not homogeneous,” she said.
As many as nine assessments using psychometric tests are sometimes required before the intervention can be evaluated, said Dr. Méndez. “This study doesn’t go into too much detail in that area, focusing rather on treatment. So, it would be important to know the diagnoses of the users, who may be experiencing different degrees of depression or anxiety. It would be worth asking what happens if a user requires psychiatric treatment or support.”
Dr. Méndez, who provides psychological therapy in person and online at the Student Support and Counselling Center at FESI, pointed out that it would be important to provide close follow-up on these results to see whether they are sustained in the short and long terms. In her opinion, this model could be presented to other users requiring treatment for anxiety or depression, provided that they can use information and communication technologies.
This precision model, which can also be supported on mobile phones or tablets, could be transferred to primary care facilities or vulnerable populations in rural areas, said Dr. Benjet Miner. “The idea is to reach a point where these algorithms become accurate enough and have a really strong predictive power so that clinicians can use them. The goal is always to find the best treatment at the lowest cost, so that it’s sustainable,” she concluded.
This study was funded by grant number R01MH120648 from the National Institute of Mental Health and the Fogarty International Center. Dr. Benjet Miner reports no relevant financial relationships; the declarations of the remaining authors can be found at the publication’s website.
This article was translated from Medscape’s Spanish Edition and a version first appeared on Medscape.com.
, according to a study published in JAMA Psychiatry . The intervention was developed by researchers from the United States, Mexico, and Colombia and studied in undergraduate university students.
The research included 1,319 students with anxiety and depression. The students were randomly assigned to three groups that received either remote (internet-based) cognitive behavioral therapy guided by a therapist, self-guided cognitive behavioral therapy (without support from a therapist), or standard treatment provided by the health care services within their community (the control condition).
Students who received guided cognitive behavioral therapy had higher combined rates of remission of these disorders (51.8%) than students who received self-guided therapy (37.8%) or conventional therapy (40%). These differences were not significant for remission of anxiety, however.
Guided cognitive behavioral therapy was associated with the highest probability of remission of anxiety and depression in 91.7% of students, the highest probability of remission of anxiety in all students, and the highest probability of remission of depression in 71.5% of participants.
The results of this analysis could be used to improve psychological care by optimizing how different treatment methods are assigned, especially in mental health institutions where available technical and human resources are limited, according to the investigators.
“We started designing this study before COVID-19 with the idea of optimizing care for these mental health problems,” said study author Corina Benjet Miner, PhD, an epidemiological and psychosocial researcher at the Ramón de la Fuente National Institute of Psychiatry, Mexico City. “We wanted to find additional strategies to achieve better care. The pandemic helped us because, even though this has been undergoing research for many years, internet-delivered interventions were not as well accepted. But during the pandemic, there weren’t any other options.”
Given the high prevalence of mental disorders before and after the pandemic, no health care system in the world would be able to provide in-person care to each patient with depression or anxiety, said Dr. Benjet Miner. “So, the idea is to look for other cost-effective strategies that can ramp up our interventions and reach a greater number of people without negatively impacting the quality of care,” she explained.
“I believe that [the precision model] is an excellent proposal that can save financial resources and avoid transfers,” said Juana Olvera Méndez, PhD, research professor working with the cognitive behavioral approach at the Iztacala Faculty of Higher Studies (FESI) of the National Autonomous University of Mexico, Mexico City. “It also makes it possible to provide patients with immediate care, in contrast to when someone has to go in for [in-person] therapy, which will depend a lot on how the therapist approaches the situation.”
Students from seven universities in Colombia and Mexico were included in the study. They were aged 18 years or older and had a score of 10 or greater on the self-administered Generalized Anxiety Disorder scale-7 test, or had depression with scores of 10 or greater on the nine-item Patient Health Questionnaire, which is also self-administered.
The study’s exclusion criteria included a history of bipolar disorder, nonaffective psychosis, or suicidal ideation with suicide attempts. The investigators used 284 prescription predictors to anticipate the differential response to antianxiety and antidepression therapy.
By grouping these predictors into 11 conceptual categories (such as demographic characteristics, COVID-19–linked stressors, or mental disorder comorbidities) and using machine learning algorithms, the investigators were able to predict in an individualized manner the probability of remission for participants in each of the groups.
“For depression, we found that 28.5% of patients could experience better or equivalent effects from the self-guided program (in comparison to the guided program). Once you have this program, it doesn’t cost anything, so there could be a massive number of people who could benefit from a cost-free therapy,” said Dr. Benjet Miner.
While numerous studies in precision medicine have tried to determine the most appropriate treatment for each patient, “they don’t have the high number of predictors that we used in this research, and I feel like this gives us a significant edge,” she added.
She also explained that they found no differences in user satisfaction between the guided and unguided version of the therapy, so now they must discover why the guided version works better. One notable point is that patients accessed (online) the guided program twice as many times as those who used the self-guided version, but the number of times used is not enough to explain the better outcomes.
“We believe that patients develop some sort of connection with the guides, who are not providing therapy but only making recommendations in brief interactions with patients once a week. It has something to do with that connection, in addition to the longer time spent interacting with the platform, which provides better results with the guided version,” stated Dr. Benjet Miner.
One of the main limitations of this study is that, though it compares three treatment methods, the third one (standard care) is not homogeneous, because each of the seven universities from which the students were selected has different resources for this purpose. “Some universities, like the National Autonomous University of Mexico, have very formal services, with teams of psychologists and psychiatrists, while others don’t have this type of service, or they cover additional aspects, like vocational counseling. So, it’s very difficult to determine exactly what kind of care patients are receiving, because it’s not homogeneous,” she said.
As many as nine assessments using psychometric tests are sometimes required before the intervention can be evaluated, said Dr. Méndez. “This study doesn’t go into too much detail in that area, focusing rather on treatment. So, it would be important to know the diagnoses of the users, who may be experiencing different degrees of depression or anxiety. It would be worth asking what happens if a user requires psychiatric treatment or support.”
Dr. Méndez, who provides psychological therapy in person and online at the Student Support and Counselling Center at FESI, pointed out that it would be important to provide close follow-up on these results to see whether they are sustained in the short and long terms. In her opinion, this model could be presented to other users requiring treatment for anxiety or depression, provided that they can use information and communication technologies.
This precision model, which can also be supported on mobile phones or tablets, could be transferred to primary care facilities or vulnerable populations in rural areas, said Dr. Benjet Miner. “The idea is to reach a point where these algorithms become accurate enough and have a really strong predictive power so that clinicians can use them. The goal is always to find the best treatment at the lowest cost, so that it’s sustainable,” she concluded.
This study was funded by grant number R01MH120648 from the National Institute of Mental Health and the Fogarty International Center. Dr. Benjet Miner reports no relevant financial relationships; the declarations of the remaining authors can be found at the publication’s website.
This article was translated from Medscape’s Spanish Edition and a version first appeared on Medscape.com.
, according to a study published in JAMA Psychiatry . The intervention was developed by researchers from the United States, Mexico, and Colombia and studied in undergraduate university students.
The research included 1,319 students with anxiety and depression. The students were randomly assigned to three groups that received either remote (internet-based) cognitive behavioral therapy guided by a therapist, self-guided cognitive behavioral therapy (without support from a therapist), or standard treatment provided by the health care services within their community (the control condition).
Students who received guided cognitive behavioral therapy had higher combined rates of remission of these disorders (51.8%) than students who received self-guided therapy (37.8%) or conventional therapy (40%). These differences were not significant for remission of anxiety, however.
Guided cognitive behavioral therapy was associated with the highest probability of remission of anxiety and depression in 91.7% of students, the highest probability of remission of anxiety in all students, and the highest probability of remission of depression in 71.5% of participants.
The results of this analysis could be used to improve psychological care by optimizing how different treatment methods are assigned, especially in mental health institutions where available technical and human resources are limited, according to the investigators.
“We started designing this study before COVID-19 with the idea of optimizing care for these mental health problems,” said study author Corina Benjet Miner, PhD, an epidemiological and psychosocial researcher at the Ramón de la Fuente National Institute of Psychiatry, Mexico City. “We wanted to find additional strategies to achieve better care. The pandemic helped us because, even though this has been undergoing research for many years, internet-delivered interventions were not as well accepted. But during the pandemic, there weren’t any other options.”
Given the high prevalence of mental disorders before and after the pandemic, no health care system in the world would be able to provide in-person care to each patient with depression or anxiety, said Dr. Benjet Miner. “So, the idea is to look for other cost-effective strategies that can ramp up our interventions and reach a greater number of people without negatively impacting the quality of care,” she explained.
“I believe that [the precision model] is an excellent proposal that can save financial resources and avoid transfers,” said Juana Olvera Méndez, PhD, research professor working with the cognitive behavioral approach at the Iztacala Faculty of Higher Studies (FESI) of the National Autonomous University of Mexico, Mexico City. “It also makes it possible to provide patients with immediate care, in contrast to when someone has to go in for [in-person] therapy, which will depend a lot on how the therapist approaches the situation.”
Students from seven universities in Colombia and Mexico were included in the study. They were aged 18 years or older and had a score of 10 or greater on the self-administered Generalized Anxiety Disorder scale-7 test, or had depression with scores of 10 or greater on the nine-item Patient Health Questionnaire, which is also self-administered.
The study’s exclusion criteria included a history of bipolar disorder, nonaffective psychosis, or suicidal ideation with suicide attempts. The investigators used 284 prescription predictors to anticipate the differential response to antianxiety and antidepression therapy.
By grouping these predictors into 11 conceptual categories (such as demographic characteristics, COVID-19–linked stressors, or mental disorder comorbidities) and using machine learning algorithms, the investigators were able to predict in an individualized manner the probability of remission for participants in each of the groups.
“For depression, we found that 28.5% of patients could experience better or equivalent effects from the self-guided program (in comparison to the guided program). Once you have this program, it doesn’t cost anything, so there could be a massive number of people who could benefit from a cost-free therapy,” said Dr. Benjet Miner.
While numerous studies in precision medicine have tried to determine the most appropriate treatment for each patient, “they don’t have the high number of predictors that we used in this research, and I feel like this gives us a significant edge,” she added.
She also explained that they found no differences in user satisfaction between the guided and unguided version of the therapy, so now they must discover why the guided version works better. One notable point is that patients accessed (online) the guided program twice as many times as those who used the self-guided version, but the number of times used is not enough to explain the better outcomes.
“We believe that patients develop some sort of connection with the guides, who are not providing therapy but only making recommendations in brief interactions with patients once a week. It has something to do with that connection, in addition to the longer time spent interacting with the platform, which provides better results with the guided version,” stated Dr. Benjet Miner.
One of the main limitations of this study is that, though it compares three treatment methods, the third one (standard care) is not homogeneous, because each of the seven universities from which the students were selected has different resources for this purpose. “Some universities, like the National Autonomous University of Mexico, have very formal services, with teams of psychologists and psychiatrists, while others don’t have this type of service, or they cover additional aspects, like vocational counseling. So, it’s very difficult to determine exactly what kind of care patients are receiving, because it’s not homogeneous,” she said.
As many as nine assessments using psychometric tests are sometimes required before the intervention can be evaluated, said Dr. Méndez. “This study doesn’t go into too much detail in that area, focusing rather on treatment. So, it would be important to know the diagnoses of the users, who may be experiencing different degrees of depression or anxiety. It would be worth asking what happens if a user requires psychiatric treatment or support.”
Dr. Méndez, who provides psychological therapy in person and online at the Student Support and Counselling Center at FESI, pointed out that it would be important to provide close follow-up on these results to see whether they are sustained in the short and long terms. In her opinion, this model could be presented to other users requiring treatment for anxiety or depression, provided that they can use information and communication technologies.
This precision model, which can also be supported on mobile phones or tablets, could be transferred to primary care facilities or vulnerable populations in rural areas, said Dr. Benjet Miner. “The idea is to reach a point where these algorithms become accurate enough and have a really strong predictive power so that clinicians can use them. The goal is always to find the best treatment at the lowest cost, so that it’s sustainable,” she concluded.
This study was funded by grant number R01MH120648 from the National Institute of Mental Health and the Fogarty International Center. Dr. Benjet Miner reports no relevant financial relationships; the declarations of the remaining authors can be found at the publication’s website.
This article was translated from Medscape’s Spanish Edition and a version first appeared on Medscape.com.
FROM JAMA PSYCHIATRY
U.S. counties hit hard by a lack of psychiatric care
TOPLINE:
, new research shows.
METHODOLOGY:
- In the United States, there is a severe lack of psychiatrists and access to mental health care. In 2019, 21.3 million U.S. residents were without broadband access. These patients were forced either to use telephone consultation or to not use telehealth services at all, although use of telehealth during COVID-19 somewhat improved access to psychiatric care.
- For the study, researchers gathered sociodemographic and other county-level information from the American Community Survey. They also used data on the psychiatrist workforce from the Health Resources and Services Administration (HRSA) Area Health Resources Files.
- Information on broadband Internet coverage came from the Federal Communications Commission, and measures of mental health outcomes were from the Centers for Disease Control and Prevention.
TAKEAWAY:
- The study identified 596 counties (19% of all U.S. counties) that were without psychiatrists and in which there was inadequate broadband coverage. The population represented 10.5 million residents.
- Compared with other counties, those with lack of coverage were more likely to be rural (adjusted odds ratio, 3.05; 95% confidence interval, 2.41-3.84), to have higher unemployment (aOR, 1.12; 95% CI, 1.02-1.24), and to have higher uninsurance rates (aOR, 1.03; 95% CI, 1.00-1.06). In those counties, there were also fewer residents with a bachelor’s degree (aOR, 0.92; 95% CI, 0.90-0.94) and fewer Hispanics (aOR 0.98; 95% CI, 0.97-0.99), although those counties were not designated by the HRSA as having a psychiatrist shortage. That designation brings additional funding for the recruitment of clinicians.
- After adjustment for sociodemographic factors, counties without psychiatrists and broadband had significantly higher rates of adult depression, frequent mental distress, drug overdose mortality, and completed suicide, compared with other counties.
- Further analysis showed that the adjusted difference remained statistically significant for drug overdose mortality per 100,000 (9.2; 95% CI, 8.0-10.5, vs. 5.2; 95% CI, 4.9-5.6; P < .001) and completed suicide (10.6; 95% CI, 8.9-12.3, vs. 7.6; 95% CI, 7.0-8.2; P < .001), but not for the other two measures.
IN PRACTICE:
“Our finding suggests that lacking access to virtual and in-person psychiatric care continues to be a key factor associated with adverse outcomes,” the investigators write. They note that federal and state-level investments in broadband and the psychiatric workforce are needed.
SOURCE:
The study was conducted by Tarun Ramesh, BS, department of population medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, and colleagues. It was published online as a research letter in JAMA Network Open.
LIMITATIONS:
The investigators did not consider whether recent legislation, including the Consolidated Appropriations Act of 2021 and the American Rescue Plan, which expanded psychiatry residency slots and broadband infrastructure, reduces adverse outcomes, something the authors say future research should examine.
DISCLOSURES:
The study received support from the National Institutes of Health, including the National Institute on Minority Health and Health Disparities and the National Institute of Mental Health. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
TOPLINE:
, new research shows.
METHODOLOGY:
- In the United States, there is a severe lack of psychiatrists and access to mental health care. In 2019, 21.3 million U.S. residents were without broadband access. These patients were forced either to use telephone consultation or to not use telehealth services at all, although use of telehealth during COVID-19 somewhat improved access to psychiatric care.
- For the study, researchers gathered sociodemographic and other county-level information from the American Community Survey. They also used data on the psychiatrist workforce from the Health Resources and Services Administration (HRSA) Area Health Resources Files.
- Information on broadband Internet coverage came from the Federal Communications Commission, and measures of mental health outcomes were from the Centers for Disease Control and Prevention.
TAKEAWAY:
- The study identified 596 counties (19% of all U.S. counties) that were without psychiatrists and in which there was inadequate broadband coverage. The population represented 10.5 million residents.
- Compared with other counties, those with lack of coverage were more likely to be rural (adjusted odds ratio, 3.05; 95% confidence interval, 2.41-3.84), to have higher unemployment (aOR, 1.12; 95% CI, 1.02-1.24), and to have higher uninsurance rates (aOR, 1.03; 95% CI, 1.00-1.06). In those counties, there were also fewer residents with a bachelor’s degree (aOR, 0.92; 95% CI, 0.90-0.94) and fewer Hispanics (aOR 0.98; 95% CI, 0.97-0.99), although those counties were not designated by the HRSA as having a psychiatrist shortage. That designation brings additional funding for the recruitment of clinicians.
- After adjustment for sociodemographic factors, counties without psychiatrists and broadband had significantly higher rates of adult depression, frequent mental distress, drug overdose mortality, and completed suicide, compared with other counties.
- Further analysis showed that the adjusted difference remained statistically significant for drug overdose mortality per 100,000 (9.2; 95% CI, 8.0-10.5, vs. 5.2; 95% CI, 4.9-5.6; P < .001) and completed suicide (10.6; 95% CI, 8.9-12.3, vs. 7.6; 95% CI, 7.0-8.2; P < .001), but not for the other two measures.
IN PRACTICE:
“Our finding suggests that lacking access to virtual and in-person psychiatric care continues to be a key factor associated with adverse outcomes,” the investigators write. They note that federal and state-level investments in broadband and the psychiatric workforce are needed.
SOURCE:
The study was conducted by Tarun Ramesh, BS, department of population medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, and colleagues. It was published online as a research letter in JAMA Network Open.
LIMITATIONS:
The investigators did not consider whether recent legislation, including the Consolidated Appropriations Act of 2021 and the American Rescue Plan, which expanded psychiatry residency slots and broadband infrastructure, reduces adverse outcomes, something the authors say future research should examine.
DISCLOSURES:
The study received support from the National Institutes of Health, including the National Institute on Minority Health and Health Disparities and the National Institute of Mental Health. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
TOPLINE:
, new research shows.
METHODOLOGY:
- In the United States, there is a severe lack of psychiatrists and access to mental health care. In 2019, 21.3 million U.S. residents were without broadband access. These patients were forced either to use telephone consultation or to not use telehealth services at all, although use of telehealth during COVID-19 somewhat improved access to psychiatric care.
- For the study, researchers gathered sociodemographic and other county-level information from the American Community Survey. They also used data on the psychiatrist workforce from the Health Resources and Services Administration (HRSA) Area Health Resources Files.
- Information on broadband Internet coverage came from the Federal Communications Commission, and measures of mental health outcomes were from the Centers for Disease Control and Prevention.
TAKEAWAY:
- The study identified 596 counties (19% of all U.S. counties) that were without psychiatrists and in which there was inadequate broadband coverage. The population represented 10.5 million residents.
- Compared with other counties, those with lack of coverage were more likely to be rural (adjusted odds ratio, 3.05; 95% confidence interval, 2.41-3.84), to have higher unemployment (aOR, 1.12; 95% CI, 1.02-1.24), and to have higher uninsurance rates (aOR, 1.03; 95% CI, 1.00-1.06). In those counties, there were also fewer residents with a bachelor’s degree (aOR, 0.92; 95% CI, 0.90-0.94) and fewer Hispanics (aOR 0.98; 95% CI, 0.97-0.99), although those counties were not designated by the HRSA as having a psychiatrist shortage. That designation brings additional funding for the recruitment of clinicians.
- After adjustment for sociodemographic factors, counties without psychiatrists and broadband had significantly higher rates of adult depression, frequent mental distress, drug overdose mortality, and completed suicide, compared with other counties.
- Further analysis showed that the adjusted difference remained statistically significant for drug overdose mortality per 100,000 (9.2; 95% CI, 8.0-10.5, vs. 5.2; 95% CI, 4.9-5.6; P < .001) and completed suicide (10.6; 95% CI, 8.9-12.3, vs. 7.6; 95% CI, 7.0-8.2; P < .001), but not for the other two measures.
IN PRACTICE:
“Our finding suggests that lacking access to virtual and in-person psychiatric care continues to be a key factor associated with adverse outcomes,” the investigators write. They note that federal and state-level investments in broadband and the psychiatric workforce are needed.
SOURCE:
The study was conducted by Tarun Ramesh, BS, department of population medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, and colleagues. It was published online as a research letter in JAMA Network Open.
LIMITATIONS:
The investigators did not consider whether recent legislation, including the Consolidated Appropriations Act of 2021 and the American Rescue Plan, which expanded psychiatry residency slots and broadband infrastructure, reduces adverse outcomes, something the authors say future research should examine.
DISCLOSURES:
The study received support from the National Institutes of Health, including the National Institute on Minority Health and Health Disparities and the National Institute of Mental Health. The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Sexual dysfunction common in schizophrenia
TOPLINE:
, results of a systematic review and meta-analysis show.
METHODOLOGY:
- Data on sexual dysfunction prevalence in people with schizophrenia should be updated because the only meta-analysis on this topic was published over 10 years ago, and factors that could explain the heterogeneity of sexual dysfunctions in schizophrenia also need reexamining.
- After carrying out a literature search for observational studies reporting prevalence of sexual dysfunction in outpatients receiving treatment for schizophrenia or schizoaffective disorder, researchers included 72 studies with 21,076 patients from 33 countries published between 1979 and 2021 in their review.
- They determined pooled estimates of sexual dysfunction prevalence in men and women and of each specific dysfunction.
TAKEAWAY:
- Pooled estimates for global prevalence were: 56.4% for sexual dysfunctions (95% confidence interval, 50.5-62.2), 40.6% for loss of libido (95% CI, 30.7-51.4), 28.0% for orgasm dysfunction (95% CI, 18.4-40.2), and 6.1% for genital pain (95% CI, 2.8-12.7), with study design, sociodemographic data, and other factors associated with the high heterogeneity of sexual dysfunctions.
- In men, estimates were: 55.7% for sexual dysfunction (95% CI, 48.1-63.1), 44.0% for erectile dysfunction (95% CI, 33.5-55.2), and 38.6% ejaculation dysfunction (95% CI, 26.8-51.8).
- In women, estimates were: 60.0% for sexual dysfunction (95% CI, 48.0-70.8), 25.1% for amenorrhea (95% CI, 17.3-35.0), and 7.7% for galactorrhea (95% CI, 3.7-15.3).
- Studies with the highest proportion of antidepressant prescriptions reported lower rates of sexual dysfunctions.
IN PRACTICE:
The review shows that sexual dysfunction is “extremely frequent” in schizophrenia and uncovers “important evidence” suggesting that better screening and treatment of depression “may be an effective strategy to improve sexual health in patients with schizophrenia,” write the authors.
SOURCE:
The study was carried out by Théo Korchia, MD, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, CEReSS: Health Service Research and Quality of Life Center, France, and colleagues. It was published online in JAMA Psychiatry.
LIMITATIONS:
Most factors known to increase sexual dysfunction, including hypertension, diabetes, obesity, smoking, and sleep disorders, were poorly explored in the included studies. Results may not be extrapolated to continents such as Africa and Polynesia because they were underrepresented in the review. The presence of publication bias in the meta-analysis can’t be entirely ruled out. Heterogeneity or methodological differences may have contributed to the observed results.
DISCLOSURES:
The authors have no relevant conflict of interest.
A version of this article first appeared on Medscape.com.
TOPLINE:
, results of a systematic review and meta-analysis show.
METHODOLOGY:
- Data on sexual dysfunction prevalence in people with schizophrenia should be updated because the only meta-analysis on this topic was published over 10 years ago, and factors that could explain the heterogeneity of sexual dysfunctions in schizophrenia also need reexamining.
- After carrying out a literature search for observational studies reporting prevalence of sexual dysfunction in outpatients receiving treatment for schizophrenia or schizoaffective disorder, researchers included 72 studies with 21,076 patients from 33 countries published between 1979 and 2021 in their review.
- They determined pooled estimates of sexual dysfunction prevalence in men and women and of each specific dysfunction.
TAKEAWAY:
- Pooled estimates for global prevalence were: 56.4% for sexual dysfunctions (95% confidence interval, 50.5-62.2), 40.6% for loss of libido (95% CI, 30.7-51.4), 28.0% for orgasm dysfunction (95% CI, 18.4-40.2), and 6.1% for genital pain (95% CI, 2.8-12.7), with study design, sociodemographic data, and other factors associated with the high heterogeneity of sexual dysfunctions.
- In men, estimates were: 55.7% for sexual dysfunction (95% CI, 48.1-63.1), 44.0% for erectile dysfunction (95% CI, 33.5-55.2), and 38.6% ejaculation dysfunction (95% CI, 26.8-51.8).
- In women, estimates were: 60.0% for sexual dysfunction (95% CI, 48.0-70.8), 25.1% for amenorrhea (95% CI, 17.3-35.0), and 7.7% for galactorrhea (95% CI, 3.7-15.3).
- Studies with the highest proportion of antidepressant prescriptions reported lower rates of sexual dysfunctions.
IN PRACTICE:
The review shows that sexual dysfunction is “extremely frequent” in schizophrenia and uncovers “important evidence” suggesting that better screening and treatment of depression “may be an effective strategy to improve sexual health in patients with schizophrenia,” write the authors.
SOURCE:
The study was carried out by Théo Korchia, MD, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, CEReSS: Health Service Research and Quality of Life Center, France, and colleagues. It was published online in JAMA Psychiatry.
LIMITATIONS:
Most factors known to increase sexual dysfunction, including hypertension, diabetes, obesity, smoking, and sleep disorders, were poorly explored in the included studies. Results may not be extrapolated to continents such as Africa and Polynesia because they were underrepresented in the review. The presence of publication bias in the meta-analysis can’t be entirely ruled out. Heterogeneity or methodological differences may have contributed to the observed results.
DISCLOSURES:
The authors have no relevant conflict of interest.
A version of this article first appeared on Medscape.com.
TOPLINE:
, results of a systematic review and meta-analysis show.
METHODOLOGY:
- Data on sexual dysfunction prevalence in people with schizophrenia should be updated because the only meta-analysis on this topic was published over 10 years ago, and factors that could explain the heterogeneity of sexual dysfunctions in schizophrenia also need reexamining.
- After carrying out a literature search for observational studies reporting prevalence of sexual dysfunction in outpatients receiving treatment for schizophrenia or schizoaffective disorder, researchers included 72 studies with 21,076 patients from 33 countries published between 1979 and 2021 in their review.
- They determined pooled estimates of sexual dysfunction prevalence in men and women and of each specific dysfunction.
TAKEAWAY:
- Pooled estimates for global prevalence were: 56.4% for sexual dysfunctions (95% confidence interval, 50.5-62.2), 40.6% for loss of libido (95% CI, 30.7-51.4), 28.0% for orgasm dysfunction (95% CI, 18.4-40.2), and 6.1% for genital pain (95% CI, 2.8-12.7), with study design, sociodemographic data, and other factors associated with the high heterogeneity of sexual dysfunctions.
- In men, estimates were: 55.7% for sexual dysfunction (95% CI, 48.1-63.1), 44.0% for erectile dysfunction (95% CI, 33.5-55.2), and 38.6% ejaculation dysfunction (95% CI, 26.8-51.8).
- In women, estimates were: 60.0% for sexual dysfunction (95% CI, 48.0-70.8), 25.1% for amenorrhea (95% CI, 17.3-35.0), and 7.7% for galactorrhea (95% CI, 3.7-15.3).
- Studies with the highest proportion of antidepressant prescriptions reported lower rates of sexual dysfunctions.
IN PRACTICE:
The review shows that sexual dysfunction is “extremely frequent” in schizophrenia and uncovers “important evidence” suggesting that better screening and treatment of depression “may be an effective strategy to improve sexual health in patients with schizophrenia,” write the authors.
SOURCE:
The study was carried out by Théo Korchia, MD, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, CEReSS: Health Service Research and Quality of Life Center, France, and colleagues. It was published online in JAMA Psychiatry.
LIMITATIONS:
Most factors known to increase sexual dysfunction, including hypertension, diabetes, obesity, smoking, and sleep disorders, were poorly explored in the included studies. Results may not be extrapolated to continents such as Africa and Polynesia because they were underrepresented in the review. The presence of publication bias in the meta-analysis can’t be entirely ruled out. Heterogeneity or methodological differences may have contributed to the observed results.
DISCLOSURES:
The authors have no relevant conflict of interest.
A version of this article first appeared on Medscape.com.
In utero SSRI exposure tied to lower brain volume in kids
However, the investigators, led by Henning Tiemeier, MD, PhD, professor of social and behavioral sciences at Harvard School of Public Health in Boston, note that the findings should be interpreted cautiously because the size of the study population who received brain MRI was relatively small.
Dr. Tiemeier said in an interview that the associations detected were small and could not show causality between prenatal SSRI use and a decrease in gray and white matter across certain areas of the brain.
“Women who are pregnant and on maintenance therapy should consult their therapist if preventive therapy is still needed and if there are alternatives. This choice must be carefully considered, and women should be carefully advised,” he said.
The study was published online in JAMA Psychiatry.
An important decision
The investigators note that the decision to prescribe antidepressants, particularly SSRIs, during pregnancy is challenging. Though SSRI use during pregnancy is generally considered safe, some previous research suggests an association with negative outcomes in offspring, including adverse effects on neurodevelopment.
However, the researchers also note that it’s possible that pregnant women who use SSRIs may have other factors, including more severe depressive symptoms, which may be independently associated with adverse outcomes in offspring.
To investigate the link between intrauterine SSRI exposure and brain development, the researchers conducted a prospective, population-based study that included 3,198 pregnant individuals with an expected delivery date between April 2002 and January 2006. Study participants were divided into five groups: 41 who used SSRIs during pregnancy, 257 who did not use the medications but had depressive symptoms during pregnancy, 77 who used SSRIs prenatally, 74 who developed depressive symptoms after giving birth, and 2,749 controls with no SSRI use or depressive symptoms. Participants had a mean age of 31 years, and all identified as women.
Of those who took SSRIs during pregnancy, 20 used them during the first trimester only, and 21 used them the first or in one or two additional trimesters. The SSRIs used included paroxetine, fluoxetine, sertraline, fluvoxamine, and citalopram.
Offspring of the women enrolled in the study received MRIs at three different times between the ages 7 and 15 years.
The 41 children born to the women who took SSRIs prenatally had 80 scans in total, the 257 with mothers who did not use SSRIs yet had depressive symptoms while pregnant had 477 MRIs, the 77 children born to the mothers who took SSRIs before pregnancy had 126 MRIs, the 74 born to mothers with postnatal depression only had 128 MRIs, and the 2,749 children born to the mothers with no SSRI use or depression had 4,813 MRIs.
The study’s primary outcome was brain morphometry in offspring including global and cortical brain volumes, measured by three MRI assessments from ages 7 to 15 years.
Reduced brain volume
Compared with children with no in utero SSRI exposure, those who were exposed had reduced gray and white matter volume that persisted up to 15 years of age (P = .006), particularly in the corticolimbic circuit.
Investigators observed a “persistent association between prenatal SSRI exposure and less cortical volumes across the 10-year follow-up period, including in the superior frontal cortex, medial orbitofrontal cortex, parahippocampal gyrus, rostral anterior cingulate cortex, and posterior cingulate.”
Investigators noted that prenatal SSRI exposure was consistently associated with 5%-10% lower brain volume in the frontal, cingulate, and temporal cortex throughout the age range studied.
In a couple of areas of the brain, however, the brain volume gradually increased back to levels seen in non-SSRI exposed children. For instance, smaller amygdala volumes had increased by age 15 years, so children who were exposed to SSRIs were not any different from control children.
Among the group of women with postnatal depression using an SSRI before or during pregnancy who had depressive symptoms post natally, neonates had a reduced fusiform gyrus (P = .002)
Dr. Tiemeier could not speculate on the effects of the volume differences on children’s development, although the parts of the brain found to be reduced are primarily responsible for emotion regulation.
Investigators noted there was limited ability to investigate trimester-specific outcomes of SSRI use and assess associations with specific SSRIs due to low prevalence of SSRI use.
In addition, research on the long-term behavioral and psychological outcomes associated with demonstrated brain changes is needed, investigators noted.
Clinical significance ‘unclear’
In an accompanying editorial, Ardesheer Talati, PhD, Columbia University, New York, noted that though the research enhances understanding of how brain development through adolescence may be associated with SSRI exposure, “the clinical significance was unclear, especially as key limbic regions, including the amygdala, normalized over time.”
If future evidence links brain anomalies to adverse youth outcomes, Dr. Talati writes, this will need to be “calibrated into the risk-benefit profile.” Until then, he said, the findings must not be overinterpreted “to either promote or discourage antidepressant medication use during the critical period of pregnancy.”
The study was funded by the Netherlands Organization for Scientific Research, European Union’s Horizon Research and Innovation Program, the Netherlands Organization for Health Research and Development, the Sophia Foundation for Neuroimaging, and the European Union’s Horizon Research and Innovation 5 Program. Dr. Talati reported receiving grants from the National Institutes of Health outside of the submitted work.
A version of this article first appeared on Medscape.com.
However, the investigators, led by Henning Tiemeier, MD, PhD, professor of social and behavioral sciences at Harvard School of Public Health in Boston, note that the findings should be interpreted cautiously because the size of the study population who received brain MRI was relatively small.
Dr. Tiemeier said in an interview that the associations detected were small and could not show causality between prenatal SSRI use and a decrease in gray and white matter across certain areas of the brain.
“Women who are pregnant and on maintenance therapy should consult their therapist if preventive therapy is still needed and if there are alternatives. This choice must be carefully considered, and women should be carefully advised,” he said.
The study was published online in JAMA Psychiatry.
An important decision
The investigators note that the decision to prescribe antidepressants, particularly SSRIs, during pregnancy is challenging. Though SSRI use during pregnancy is generally considered safe, some previous research suggests an association with negative outcomes in offspring, including adverse effects on neurodevelopment.
However, the researchers also note that it’s possible that pregnant women who use SSRIs may have other factors, including more severe depressive symptoms, which may be independently associated with adverse outcomes in offspring.
To investigate the link between intrauterine SSRI exposure and brain development, the researchers conducted a prospective, population-based study that included 3,198 pregnant individuals with an expected delivery date between April 2002 and January 2006. Study participants were divided into five groups: 41 who used SSRIs during pregnancy, 257 who did not use the medications but had depressive symptoms during pregnancy, 77 who used SSRIs prenatally, 74 who developed depressive symptoms after giving birth, and 2,749 controls with no SSRI use or depressive symptoms. Participants had a mean age of 31 years, and all identified as women.
Of those who took SSRIs during pregnancy, 20 used them during the first trimester only, and 21 used them the first or in one or two additional trimesters. The SSRIs used included paroxetine, fluoxetine, sertraline, fluvoxamine, and citalopram.
Offspring of the women enrolled in the study received MRIs at three different times between the ages 7 and 15 years.
The 41 children born to the women who took SSRIs prenatally had 80 scans in total, the 257 with mothers who did not use SSRIs yet had depressive symptoms while pregnant had 477 MRIs, the 77 children born to the mothers who took SSRIs before pregnancy had 126 MRIs, the 74 born to mothers with postnatal depression only had 128 MRIs, and the 2,749 children born to the mothers with no SSRI use or depression had 4,813 MRIs.
The study’s primary outcome was brain morphometry in offspring including global and cortical brain volumes, measured by three MRI assessments from ages 7 to 15 years.
Reduced brain volume
Compared with children with no in utero SSRI exposure, those who were exposed had reduced gray and white matter volume that persisted up to 15 years of age (P = .006), particularly in the corticolimbic circuit.
Investigators observed a “persistent association between prenatal SSRI exposure and less cortical volumes across the 10-year follow-up period, including in the superior frontal cortex, medial orbitofrontal cortex, parahippocampal gyrus, rostral anterior cingulate cortex, and posterior cingulate.”
Investigators noted that prenatal SSRI exposure was consistently associated with 5%-10% lower brain volume in the frontal, cingulate, and temporal cortex throughout the age range studied.
In a couple of areas of the brain, however, the brain volume gradually increased back to levels seen in non-SSRI exposed children. For instance, smaller amygdala volumes had increased by age 15 years, so children who were exposed to SSRIs were not any different from control children.
Among the group of women with postnatal depression using an SSRI before or during pregnancy who had depressive symptoms post natally, neonates had a reduced fusiform gyrus (P = .002)
Dr. Tiemeier could not speculate on the effects of the volume differences on children’s development, although the parts of the brain found to be reduced are primarily responsible for emotion regulation.
Investigators noted there was limited ability to investigate trimester-specific outcomes of SSRI use and assess associations with specific SSRIs due to low prevalence of SSRI use.
In addition, research on the long-term behavioral and psychological outcomes associated with demonstrated brain changes is needed, investigators noted.
Clinical significance ‘unclear’
In an accompanying editorial, Ardesheer Talati, PhD, Columbia University, New York, noted that though the research enhances understanding of how brain development through adolescence may be associated with SSRI exposure, “the clinical significance was unclear, especially as key limbic regions, including the amygdala, normalized over time.”
If future evidence links brain anomalies to adverse youth outcomes, Dr. Talati writes, this will need to be “calibrated into the risk-benefit profile.” Until then, he said, the findings must not be overinterpreted “to either promote or discourage antidepressant medication use during the critical period of pregnancy.”
The study was funded by the Netherlands Organization for Scientific Research, European Union’s Horizon Research and Innovation Program, the Netherlands Organization for Health Research and Development, the Sophia Foundation for Neuroimaging, and the European Union’s Horizon Research and Innovation 5 Program. Dr. Talati reported receiving grants from the National Institutes of Health outside of the submitted work.
A version of this article first appeared on Medscape.com.
However, the investigators, led by Henning Tiemeier, MD, PhD, professor of social and behavioral sciences at Harvard School of Public Health in Boston, note that the findings should be interpreted cautiously because the size of the study population who received brain MRI was relatively small.
Dr. Tiemeier said in an interview that the associations detected were small and could not show causality between prenatal SSRI use and a decrease in gray and white matter across certain areas of the brain.
“Women who are pregnant and on maintenance therapy should consult their therapist if preventive therapy is still needed and if there are alternatives. This choice must be carefully considered, and women should be carefully advised,” he said.
The study was published online in JAMA Psychiatry.
An important decision
The investigators note that the decision to prescribe antidepressants, particularly SSRIs, during pregnancy is challenging. Though SSRI use during pregnancy is generally considered safe, some previous research suggests an association with negative outcomes in offspring, including adverse effects on neurodevelopment.
However, the researchers also note that it’s possible that pregnant women who use SSRIs may have other factors, including more severe depressive symptoms, which may be independently associated with adverse outcomes in offspring.
To investigate the link between intrauterine SSRI exposure and brain development, the researchers conducted a prospective, population-based study that included 3,198 pregnant individuals with an expected delivery date between April 2002 and January 2006. Study participants were divided into five groups: 41 who used SSRIs during pregnancy, 257 who did not use the medications but had depressive symptoms during pregnancy, 77 who used SSRIs prenatally, 74 who developed depressive symptoms after giving birth, and 2,749 controls with no SSRI use or depressive symptoms. Participants had a mean age of 31 years, and all identified as women.
Of those who took SSRIs during pregnancy, 20 used them during the first trimester only, and 21 used them the first or in one or two additional trimesters. The SSRIs used included paroxetine, fluoxetine, sertraline, fluvoxamine, and citalopram.
Offspring of the women enrolled in the study received MRIs at three different times between the ages 7 and 15 years.
The 41 children born to the women who took SSRIs prenatally had 80 scans in total, the 257 with mothers who did not use SSRIs yet had depressive symptoms while pregnant had 477 MRIs, the 77 children born to the mothers who took SSRIs before pregnancy had 126 MRIs, the 74 born to mothers with postnatal depression only had 128 MRIs, and the 2,749 children born to the mothers with no SSRI use or depression had 4,813 MRIs.
The study’s primary outcome was brain morphometry in offspring including global and cortical brain volumes, measured by three MRI assessments from ages 7 to 15 years.
Reduced brain volume
Compared with children with no in utero SSRI exposure, those who were exposed had reduced gray and white matter volume that persisted up to 15 years of age (P = .006), particularly in the corticolimbic circuit.
Investigators observed a “persistent association between prenatal SSRI exposure and less cortical volumes across the 10-year follow-up period, including in the superior frontal cortex, medial orbitofrontal cortex, parahippocampal gyrus, rostral anterior cingulate cortex, and posterior cingulate.”
Investigators noted that prenatal SSRI exposure was consistently associated with 5%-10% lower brain volume in the frontal, cingulate, and temporal cortex throughout the age range studied.
In a couple of areas of the brain, however, the brain volume gradually increased back to levels seen in non-SSRI exposed children. For instance, smaller amygdala volumes had increased by age 15 years, so children who were exposed to SSRIs were not any different from control children.
Among the group of women with postnatal depression using an SSRI before or during pregnancy who had depressive symptoms post natally, neonates had a reduced fusiform gyrus (P = .002)
Dr. Tiemeier could not speculate on the effects of the volume differences on children’s development, although the parts of the brain found to be reduced are primarily responsible for emotion regulation.
Investigators noted there was limited ability to investigate trimester-specific outcomes of SSRI use and assess associations with specific SSRIs due to low prevalence of SSRI use.
In addition, research on the long-term behavioral and psychological outcomes associated with demonstrated brain changes is needed, investigators noted.
Clinical significance ‘unclear’
In an accompanying editorial, Ardesheer Talati, PhD, Columbia University, New York, noted that though the research enhances understanding of how brain development through adolescence may be associated with SSRI exposure, “the clinical significance was unclear, especially as key limbic regions, including the amygdala, normalized over time.”
If future evidence links brain anomalies to adverse youth outcomes, Dr. Talati writes, this will need to be “calibrated into the risk-benefit profile.” Until then, he said, the findings must not be overinterpreted “to either promote or discourage antidepressant medication use during the critical period of pregnancy.”
The study was funded by the Netherlands Organization for Scientific Research, European Union’s Horizon Research and Innovation Program, the Netherlands Organization for Health Research and Development, the Sophia Foundation for Neuroimaging, and the European Union’s Horizon Research and Innovation 5 Program. Dr. Talati reported receiving grants from the National Institutes of Health outside of the submitted work.
A version of this article first appeared on Medscape.com.
FROM JAMA PSYCHIATRY
Social media use may promote depression in pregnancy
Depressive symptoms among pregnant women have risen in recent years, but the potential impact of social media use on depression in pregnancy has not been well studied, wrote Lotte Muskens, a PhD candidate at Tilburg (the Netherlands) University and colleagues.
In a study published in the Journal of Affective Disorders, the researchers surveyed 697 pregnant women aged 19-42 years who were part of a larger longitudinal prospective study (the Brabant Study) in the Netherlands. The mean age of the participants was 31 years; 96% were employed, 99% had a partner, and 71% had a bachelor’s degree or higher. Depressive symptoms were assessed at 12, 20, and 28 weeks of pregnancy using the Dutch version of the 10-item Edinburgh Depression Scale (EDS).
The researchers categorized the participants into trajectories of depressive symptoms during pregnancy, with 489 identified as low stable (mean EDS scores 2.8-3.0), 183 as intermediate stable (mean EDS scores 8.4-8.8), and 25 as high stable (mean EDS scores 15.1-16.9).
Problematic SMU was identified using the six-item Bergen Social Media Addiction Scale (BSMAS) at 12 weeks of pregnancy; scores ranged from 6 to 30, with higher scores representing more problematic SMU.
The mean BSMAS scores were 9.0, 10.7, and 12.6 for the low-stable, intermediate-stable, and high-stable depression groups, respectively.
Data on social media use (SMU) were collected at 12 weeks of pregnancy. Social media was defined as common platforms including Facebook, Instagram, LinkedIn, Pinterest, Twitter, and YouTube.
SMU was defined in terms of intensity, measured by time and frequency. Time was measured by asking participants to list how many hours per day they used social media on a scale of 1 (no use of social media) to 9 (7 or more hours per day). Frequency was measured by asking how often participants visited the various social media platforms, on a scale of 1 (no use of social media) to 7 (five or more visits per day). Overall, the participants averaged 1.6 hours per day and 19.5 visits per week on SMU.
Increased time and frequency of SMU was significantly associated with increased odds of being in the high-stable group, compared with the low-stable group in an adjusted analysis (odds ratios, 1.51 and 1.05, respectively; P = .017 and P = .019, respectively).
In addition, problematic SMU (as defined by higher BSMAS scores) remained significantly associated with increased odds of belonging to the intermediate-stable or high-stable classes in an adjusted analysis (odds ratios, 1.17 and 1.31; P < .001 for both).
“While our results suggest that SMU can have negative consequences for pregnant women’s mental wellbeing, it is important to note that SMU during pregnancy may also be helpful for some pregnant women,” as many women, especially first-time mothers, find information and support through social media, the researchers wrote in their discussion.
The findings were limited by several factors, including the variation in group sizes for depressive symptoms, reliance on self-reports, and the collection of data during the COVID-19 pandemic, which may have affected the results, the researchers noted.
However, the results were strengthened by the large sample size and longitudinal design that allowed measurement of trajectories. More research is needed to determine causal relationships, but the data indicate an association between higher levels of depression during pregnancy and more intense and problematic SMU use, and health care providers should discuss SMU in addition to other risk factors for depression in pregnant women, the researchers concluded.
The study received no outside funding. The researchers had no financial conflicts to disclose.
Depressive symptoms among pregnant women have risen in recent years, but the potential impact of social media use on depression in pregnancy has not been well studied, wrote Lotte Muskens, a PhD candidate at Tilburg (the Netherlands) University and colleagues.
In a study published in the Journal of Affective Disorders, the researchers surveyed 697 pregnant women aged 19-42 years who were part of a larger longitudinal prospective study (the Brabant Study) in the Netherlands. The mean age of the participants was 31 years; 96% were employed, 99% had a partner, and 71% had a bachelor’s degree or higher. Depressive symptoms were assessed at 12, 20, and 28 weeks of pregnancy using the Dutch version of the 10-item Edinburgh Depression Scale (EDS).
The researchers categorized the participants into trajectories of depressive symptoms during pregnancy, with 489 identified as low stable (mean EDS scores 2.8-3.0), 183 as intermediate stable (mean EDS scores 8.4-8.8), and 25 as high stable (mean EDS scores 15.1-16.9).
Problematic SMU was identified using the six-item Bergen Social Media Addiction Scale (BSMAS) at 12 weeks of pregnancy; scores ranged from 6 to 30, with higher scores representing more problematic SMU.
The mean BSMAS scores were 9.0, 10.7, and 12.6 for the low-stable, intermediate-stable, and high-stable depression groups, respectively.
Data on social media use (SMU) were collected at 12 weeks of pregnancy. Social media was defined as common platforms including Facebook, Instagram, LinkedIn, Pinterest, Twitter, and YouTube.
SMU was defined in terms of intensity, measured by time and frequency. Time was measured by asking participants to list how many hours per day they used social media on a scale of 1 (no use of social media) to 9 (7 or more hours per day). Frequency was measured by asking how often participants visited the various social media platforms, on a scale of 1 (no use of social media) to 7 (five or more visits per day). Overall, the participants averaged 1.6 hours per day and 19.5 visits per week on SMU.
Increased time and frequency of SMU was significantly associated with increased odds of being in the high-stable group, compared with the low-stable group in an adjusted analysis (odds ratios, 1.51 and 1.05, respectively; P = .017 and P = .019, respectively).
In addition, problematic SMU (as defined by higher BSMAS scores) remained significantly associated with increased odds of belonging to the intermediate-stable or high-stable classes in an adjusted analysis (odds ratios, 1.17 and 1.31; P < .001 for both).
“While our results suggest that SMU can have negative consequences for pregnant women’s mental wellbeing, it is important to note that SMU during pregnancy may also be helpful for some pregnant women,” as many women, especially first-time mothers, find information and support through social media, the researchers wrote in their discussion.
The findings were limited by several factors, including the variation in group sizes for depressive symptoms, reliance on self-reports, and the collection of data during the COVID-19 pandemic, which may have affected the results, the researchers noted.
However, the results were strengthened by the large sample size and longitudinal design that allowed measurement of trajectories. More research is needed to determine causal relationships, but the data indicate an association between higher levels of depression during pregnancy and more intense and problematic SMU use, and health care providers should discuss SMU in addition to other risk factors for depression in pregnant women, the researchers concluded.
The study received no outside funding. The researchers had no financial conflicts to disclose.
Depressive symptoms among pregnant women have risen in recent years, but the potential impact of social media use on depression in pregnancy has not been well studied, wrote Lotte Muskens, a PhD candidate at Tilburg (the Netherlands) University and colleagues.
In a study published in the Journal of Affective Disorders, the researchers surveyed 697 pregnant women aged 19-42 years who were part of a larger longitudinal prospective study (the Brabant Study) in the Netherlands. The mean age of the participants was 31 years; 96% were employed, 99% had a partner, and 71% had a bachelor’s degree or higher. Depressive symptoms were assessed at 12, 20, and 28 weeks of pregnancy using the Dutch version of the 10-item Edinburgh Depression Scale (EDS).
The researchers categorized the participants into trajectories of depressive symptoms during pregnancy, with 489 identified as low stable (mean EDS scores 2.8-3.0), 183 as intermediate stable (mean EDS scores 8.4-8.8), and 25 as high stable (mean EDS scores 15.1-16.9).
Problematic SMU was identified using the six-item Bergen Social Media Addiction Scale (BSMAS) at 12 weeks of pregnancy; scores ranged from 6 to 30, with higher scores representing more problematic SMU.
The mean BSMAS scores were 9.0, 10.7, and 12.6 for the low-stable, intermediate-stable, and high-stable depression groups, respectively.
Data on social media use (SMU) were collected at 12 weeks of pregnancy. Social media was defined as common platforms including Facebook, Instagram, LinkedIn, Pinterest, Twitter, and YouTube.
SMU was defined in terms of intensity, measured by time and frequency. Time was measured by asking participants to list how many hours per day they used social media on a scale of 1 (no use of social media) to 9 (7 or more hours per day). Frequency was measured by asking how often participants visited the various social media platforms, on a scale of 1 (no use of social media) to 7 (five or more visits per day). Overall, the participants averaged 1.6 hours per day and 19.5 visits per week on SMU.
Increased time and frequency of SMU was significantly associated with increased odds of being in the high-stable group, compared with the low-stable group in an adjusted analysis (odds ratios, 1.51 and 1.05, respectively; P = .017 and P = .019, respectively).
In addition, problematic SMU (as defined by higher BSMAS scores) remained significantly associated with increased odds of belonging to the intermediate-stable or high-stable classes in an adjusted analysis (odds ratios, 1.17 and 1.31; P < .001 for both).
“While our results suggest that SMU can have negative consequences for pregnant women’s mental wellbeing, it is important to note that SMU during pregnancy may also be helpful for some pregnant women,” as many women, especially first-time mothers, find information and support through social media, the researchers wrote in their discussion.
The findings were limited by several factors, including the variation in group sizes for depressive symptoms, reliance on self-reports, and the collection of data during the COVID-19 pandemic, which may have affected the results, the researchers noted.
However, the results were strengthened by the large sample size and longitudinal design that allowed measurement of trajectories. More research is needed to determine causal relationships, but the data indicate an association between higher levels of depression during pregnancy and more intense and problematic SMU use, and health care providers should discuss SMU in addition to other risk factors for depression in pregnant women, the researchers concluded.
The study received no outside funding. The researchers had no financial conflicts to disclose.
FROM THE JOURNAL OF AFFECTIVE DISORDERS
Stress, insomnia tied to increased AFib risk for older women
TOPLINE:
Eight psychosocial factors, grouped into two distinct clusters, are significantly associated with risk for atrial fibrillation in postmenopausal women, with insomnia and stressful life events (SLEs) being the most strongly associated with AFib, a large new study has found.
METHODOLOGY:
- In addition to traditional risk factors such as obesity, advanced age, ethnicity, smoking, alcohol, hypertension, diabetes, coronary artery disease, heart failure, and emotional and psychological distress may also affect AFib.
- The study included 83,736 postmenopausal women in the Women’s Health Initiative (mean age, 63.9 years; 88.1% White) who did not have AFib at baseline.
- From questionnaires, researchers collected information on psychosocial stressors and used hierarchical cluster analysis to identify patterns of psychosocial predictors.
- They separated these clusters into quartiles, identified associations between psychosocial exposure variables, and adjusted for traditional risk factors.
- Over an average follow-up of 10.5 years, 23,954 participants (28.6%) developed incident AFib.
TAKEAWAY:
- The analysis generated two clusters of distinct psychosocial variables that were significantly associated with AFib: the Stress Cluster, including SLEs, depressive symptoms, and insomnia; and the Strain Cluster, including three personality traits: optimism, cynical hostility, and emotional expressiveness; and two social measures: social support, and social strain.
- Those in the highest quartiles of both the Stress Cluster and the Strain Cluster had greater rates of AFib, compared with those in the lowest quartiles.
- In a final model, the association between SLEs (hazard ratio, 1.02; 95% confidence interval, 1.01-1.04) and insomnia (HR, 1.04; 95% CI, 1.03-1.06) were most strongly linked to increased incidence of AFib, and a sensitivity analysis using snoring as a surrogate marker for sleep apnea didn’t change this outcome, supporting the independent effect of insomnia on AFib.
- In subgroup analyses, the Stress Cluster had a stronger association with AFib incidence in younger (50-69 years) versus older women (70-79 years), and in non-Hispanic White and Asian women versus Hispanic and non-Hispanic Black women.
IN PRACTICE:
The results support the hypothesis that psychosocial predictors account for additional risk for AFib “above and beyond” traditional risk factors, the authors wrote. Identifying and addressing sex-specific, modifiable risk factors, including insomnia, “may help reduce the burden of AF[ib] in aging women.”
SOURCE:
The study was conducted by Susan X. Zhao, MD, division of cardiology, department of medicine, Santa Clara Valley Medical Center, San Jose, Calif., and colleagues. It was published online in the Journal of the American Heart Association.
LIMITATIONS:
The psychometric questionnaires were administered only at study entry, but psychosocial variables may change over time. Data on sleep apnea and other sleep disorders, which may confound the relationship between insomnia and AFib, were not available, and although the study included a sensitivity analysis controlling for snoring, this is an imperfect surrogate for sleep apnea. Generalizability to other demographic, racial, and ethnic groups is limited.
DISCLOSURES:
The Women’s Health Initiative program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The authors have no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Eight psychosocial factors, grouped into two distinct clusters, are significantly associated with risk for atrial fibrillation in postmenopausal women, with insomnia and stressful life events (SLEs) being the most strongly associated with AFib, a large new study has found.
METHODOLOGY:
- In addition to traditional risk factors such as obesity, advanced age, ethnicity, smoking, alcohol, hypertension, diabetes, coronary artery disease, heart failure, and emotional and psychological distress may also affect AFib.
- The study included 83,736 postmenopausal women in the Women’s Health Initiative (mean age, 63.9 years; 88.1% White) who did not have AFib at baseline.
- From questionnaires, researchers collected information on psychosocial stressors and used hierarchical cluster analysis to identify patterns of psychosocial predictors.
- They separated these clusters into quartiles, identified associations between psychosocial exposure variables, and adjusted for traditional risk factors.
- Over an average follow-up of 10.5 years, 23,954 participants (28.6%) developed incident AFib.
TAKEAWAY:
- The analysis generated two clusters of distinct psychosocial variables that were significantly associated with AFib: the Stress Cluster, including SLEs, depressive symptoms, and insomnia; and the Strain Cluster, including three personality traits: optimism, cynical hostility, and emotional expressiveness; and two social measures: social support, and social strain.
- Those in the highest quartiles of both the Stress Cluster and the Strain Cluster had greater rates of AFib, compared with those in the lowest quartiles.
- In a final model, the association between SLEs (hazard ratio, 1.02; 95% confidence interval, 1.01-1.04) and insomnia (HR, 1.04; 95% CI, 1.03-1.06) were most strongly linked to increased incidence of AFib, and a sensitivity analysis using snoring as a surrogate marker for sleep apnea didn’t change this outcome, supporting the independent effect of insomnia on AFib.
- In subgroup analyses, the Stress Cluster had a stronger association with AFib incidence in younger (50-69 years) versus older women (70-79 years), and in non-Hispanic White and Asian women versus Hispanic and non-Hispanic Black women.
IN PRACTICE:
The results support the hypothesis that psychosocial predictors account for additional risk for AFib “above and beyond” traditional risk factors, the authors wrote. Identifying and addressing sex-specific, modifiable risk factors, including insomnia, “may help reduce the burden of AF[ib] in aging women.”
SOURCE:
The study was conducted by Susan X. Zhao, MD, division of cardiology, department of medicine, Santa Clara Valley Medical Center, San Jose, Calif., and colleagues. It was published online in the Journal of the American Heart Association.
LIMITATIONS:
The psychometric questionnaires were administered only at study entry, but psychosocial variables may change over time. Data on sleep apnea and other sleep disorders, which may confound the relationship between insomnia and AFib, were not available, and although the study included a sensitivity analysis controlling for snoring, this is an imperfect surrogate for sleep apnea. Generalizability to other demographic, racial, and ethnic groups is limited.
DISCLOSURES:
The Women’s Health Initiative program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The authors have no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Eight psychosocial factors, grouped into two distinct clusters, are significantly associated with risk for atrial fibrillation in postmenopausal women, with insomnia and stressful life events (SLEs) being the most strongly associated with AFib, a large new study has found.
METHODOLOGY:
- In addition to traditional risk factors such as obesity, advanced age, ethnicity, smoking, alcohol, hypertension, diabetes, coronary artery disease, heart failure, and emotional and psychological distress may also affect AFib.
- The study included 83,736 postmenopausal women in the Women’s Health Initiative (mean age, 63.9 years; 88.1% White) who did not have AFib at baseline.
- From questionnaires, researchers collected information on psychosocial stressors and used hierarchical cluster analysis to identify patterns of psychosocial predictors.
- They separated these clusters into quartiles, identified associations between psychosocial exposure variables, and adjusted for traditional risk factors.
- Over an average follow-up of 10.5 years, 23,954 participants (28.6%) developed incident AFib.
TAKEAWAY:
- The analysis generated two clusters of distinct psychosocial variables that were significantly associated with AFib: the Stress Cluster, including SLEs, depressive symptoms, and insomnia; and the Strain Cluster, including three personality traits: optimism, cynical hostility, and emotional expressiveness; and two social measures: social support, and social strain.
- Those in the highest quartiles of both the Stress Cluster and the Strain Cluster had greater rates of AFib, compared with those in the lowest quartiles.
- In a final model, the association between SLEs (hazard ratio, 1.02; 95% confidence interval, 1.01-1.04) and insomnia (HR, 1.04; 95% CI, 1.03-1.06) were most strongly linked to increased incidence of AFib, and a sensitivity analysis using snoring as a surrogate marker for sleep apnea didn’t change this outcome, supporting the independent effect of insomnia on AFib.
- In subgroup analyses, the Stress Cluster had a stronger association with AFib incidence in younger (50-69 years) versus older women (70-79 years), and in non-Hispanic White and Asian women versus Hispanic and non-Hispanic Black women.
IN PRACTICE:
The results support the hypothesis that psychosocial predictors account for additional risk for AFib “above and beyond” traditional risk factors, the authors wrote. Identifying and addressing sex-specific, modifiable risk factors, including insomnia, “may help reduce the burden of AF[ib] in aging women.”
SOURCE:
The study was conducted by Susan X. Zhao, MD, division of cardiology, department of medicine, Santa Clara Valley Medical Center, San Jose, Calif., and colleagues. It was published online in the Journal of the American Heart Association.
LIMITATIONS:
The psychometric questionnaires were administered only at study entry, but psychosocial variables may change over time. Data on sleep apnea and other sleep disorders, which may confound the relationship between insomnia and AFib, were not available, and although the study included a sensitivity analysis controlling for snoring, this is an imperfect surrogate for sleep apnea. Generalizability to other demographic, racial, and ethnic groups is limited.
DISCLOSURES:
The Women’s Health Initiative program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The authors have no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
FROM JOURNAL OF THE AMERICAN HEART ASSOCIATION
Service dogs help veterans with PTSD lead better lives
When Ryan (not his real name), 37, returned home from two deployments with the 101st Airborne Division in Iraq from 2005 to 2008, he began withdrawing from social situations and experienced chronic anxiety. Nights brought no respite – his sleep was interrupted by punishing nightmares.
“I had every calling card of a veteran in distress,” he said in an interview. When his wife told him she thought he may have posttraumatic stress disorder (PTSD), he shrugged it off. “I wasn’t automatically going to accept [the diagnosis] because as an infantry veteran, we’re big tough guys. We don’t need help with anything.”
The dogs, mostly recruited from rescue organizations, receive 5-7 months of specialized training to assist the veterans.
Life-changing help
While Ryan was skeptical about the program and whether it would work for him, he agreed to try it. After working with Bullet, a cream-colored golden retriever, he realized his life was improving.
“I stopped self-medicating, started advocating for myself, and became more comfortable socializing in public.” In his 3 years with Bullet, Ryan was able to work on his marriage, advance his career, and become a homeowner.
“The dreams I never thought were attainable started coming to fruition, and I was happy and comfortable for the first time in as long as I could remember.”
Unfortunately, Bullet died from a rare heart condition after a few years, and when that happened, NWBB immediately began working with Ryan to find him a new dog to fill the void left by Bullet.
Soon, Ryan began working with Twitch, who, like Bullet, knew when Ryan was becoming anxious, angry, or depressed before he did, he said.
“These dogs pick up on PTSD symptoms and come over and press themselves against you, push their faces into yours, and give you those big puppy dog eyes as if to say, ‘I got you. Everything is going to be okay.’ ”
The same thing happened when Ryan had night terrors and nightmares. “These dogs wake you up, and again, you’re greeted with this sweet puppy dog face.”
NWBB founder and CEO Shannon Walker, who has been training dogs for 25 years and whose father served in the U.S. Air Force in the 1950s, leads a 5-week training course for the veterans and their “battle buddies” so that the veterans can learn how to bond with and benefit from their new service dogs.
Finding the perfect match
Veterans are paired with trained service dogs based on their lifestyle and personality. For instance, a Vietnam veteran who is having trouble walking may be paired with a calm dog while a younger veteran who runs each morning is paired with a more active dog.
NWBB operates on funds from private donors and nonprofit organizations that make it financially feasible for the veterans to travel to Washington State and stay for the time required to train with their service dogs.
“Our service dogs are there in the midnight hour when no one else is,” she said. “Our veterans are fighting internal battles that no one else sees but the dogs. The dogs alert on their adrenaline and bring them back to the moment of now, interrupting suicidal ideations, panic attacks, and night terrors.”
Joshua Morganstein, MD, chair of the American Psychiatric Association’s Committee on the Psychiatric Dimensions of Disaster, said in an interview that “PTSD can be devastating for service members and veterans and is often associated with comorbid mental health conditions, such as anxiety and substance use.”
He noted that for many people, dogs and other animals can be an important source of physical, emotional, and psychological comfort.
“Programs like the Northwest Battle Buddies are important for us to study and better understand the extent to which trained animals are able to help alleviate the symptoms of PTSD and associated disorders and, perhaps most importantly, enhance the ability of service members and veterans to function and live in ways that feel healthy and productive to them,” said Dr. Morganstein.
He added that the concept of a “battle buddy” is a term pioneered by the U.S. Army in 2002 and describes a “formal, rather than ad hoc, system of peer support in which service members are assigned buddies.
“Buddies look out for each other, encourage self-care and self-advocacy and, when needed, help their buddy to seek help. Buddies remind us that someone is looking out for us and there is someone we look out for as well, both of which are protective during difficult times,” he said.
A version of this article first appeared on Medscape.com.
When Ryan (not his real name), 37, returned home from two deployments with the 101st Airborne Division in Iraq from 2005 to 2008, he began withdrawing from social situations and experienced chronic anxiety. Nights brought no respite – his sleep was interrupted by punishing nightmares.
“I had every calling card of a veteran in distress,” he said in an interview. When his wife told him she thought he may have posttraumatic stress disorder (PTSD), he shrugged it off. “I wasn’t automatically going to accept [the diagnosis] because as an infantry veteran, we’re big tough guys. We don’t need help with anything.”
The dogs, mostly recruited from rescue organizations, receive 5-7 months of specialized training to assist the veterans.
Life-changing help
While Ryan was skeptical about the program and whether it would work for him, he agreed to try it. After working with Bullet, a cream-colored golden retriever, he realized his life was improving.
“I stopped self-medicating, started advocating for myself, and became more comfortable socializing in public.” In his 3 years with Bullet, Ryan was able to work on his marriage, advance his career, and become a homeowner.
“The dreams I never thought were attainable started coming to fruition, and I was happy and comfortable for the first time in as long as I could remember.”
Unfortunately, Bullet died from a rare heart condition after a few years, and when that happened, NWBB immediately began working with Ryan to find him a new dog to fill the void left by Bullet.
Soon, Ryan began working with Twitch, who, like Bullet, knew when Ryan was becoming anxious, angry, or depressed before he did, he said.
“These dogs pick up on PTSD symptoms and come over and press themselves against you, push their faces into yours, and give you those big puppy dog eyes as if to say, ‘I got you. Everything is going to be okay.’ ”
The same thing happened when Ryan had night terrors and nightmares. “These dogs wake you up, and again, you’re greeted with this sweet puppy dog face.”
NWBB founder and CEO Shannon Walker, who has been training dogs for 25 years and whose father served in the U.S. Air Force in the 1950s, leads a 5-week training course for the veterans and their “battle buddies” so that the veterans can learn how to bond with and benefit from their new service dogs.
Finding the perfect match
Veterans are paired with trained service dogs based on their lifestyle and personality. For instance, a Vietnam veteran who is having trouble walking may be paired with a calm dog while a younger veteran who runs each morning is paired with a more active dog.
NWBB operates on funds from private donors and nonprofit organizations that make it financially feasible for the veterans to travel to Washington State and stay for the time required to train with their service dogs.
“Our service dogs are there in the midnight hour when no one else is,” she said. “Our veterans are fighting internal battles that no one else sees but the dogs. The dogs alert on their adrenaline and bring them back to the moment of now, interrupting suicidal ideations, panic attacks, and night terrors.”
Joshua Morganstein, MD, chair of the American Psychiatric Association’s Committee on the Psychiatric Dimensions of Disaster, said in an interview that “PTSD can be devastating for service members and veterans and is often associated with comorbid mental health conditions, such as anxiety and substance use.”
He noted that for many people, dogs and other animals can be an important source of physical, emotional, and psychological comfort.
“Programs like the Northwest Battle Buddies are important for us to study and better understand the extent to which trained animals are able to help alleviate the symptoms of PTSD and associated disorders and, perhaps most importantly, enhance the ability of service members and veterans to function and live in ways that feel healthy and productive to them,” said Dr. Morganstein.
He added that the concept of a “battle buddy” is a term pioneered by the U.S. Army in 2002 and describes a “formal, rather than ad hoc, system of peer support in which service members are assigned buddies.
“Buddies look out for each other, encourage self-care and self-advocacy and, when needed, help their buddy to seek help. Buddies remind us that someone is looking out for us and there is someone we look out for as well, both of which are protective during difficult times,” he said.
A version of this article first appeared on Medscape.com.
When Ryan (not his real name), 37, returned home from two deployments with the 101st Airborne Division in Iraq from 2005 to 2008, he began withdrawing from social situations and experienced chronic anxiety. Nights brought no respite – his sleep was interrupted by punishing nightmares.
“I had every calling card of a veteran in distress,” he said in an interview. When his wife told him she thought he may have posttraumatic stress disorder (PTSD), he shrugged it off. “I wasn’t automatically going to accept [the diagnosis] because as an infantry veteran, we’re big tough guys. We don’t need help with anything.”
The dogs, mostly recruited from rescue organizations, receive 5-7 months of specialized training to assist the veterans.
Life-changing help
While Ryan was skeptical about the program and whether it would work for him, he agreed to try it. After working with Bullet, a cream-colored golden retriever, he realized his life was improving.
“I stopped self-medicating, started advocating for myself, and became more comfortable socializing in public.” In his 3 years with Bullet, Ryan was able to work on his marriage, advance his career, and become a homeowner.
“The dreams I never thought were attainable started coming to fruition, and I was happy and comfortable for the first time in as long as I could remember.”
Unfortunately, Bullet died from a rare heart condition after a few years, and when that happened, NWBB immediately began working with Ryan to find him a new dog to fill the void left by Bullet.
Soon, Ryan began working with Twitch, who, like Bullet, knew when Ryan was becoming anxious, angry, or depressed before he did, he said.
“These dogs pick up on PTSD symptoms and come over and press themselves against you, push their faces into yours, and give you those big puppy dog eyes as if to say, ‘I got you. Everything is going to be okay.’ ”
The same thing happened when Ryan had night terrors and nightmares. “These dogs wake you up, and again, you’re greeted with this sweet puppy dog face.”
NWBB founder and CEO Shannon Walker, who has been training dogs for 25 years and whose father served in the U.S. Air Force in the 1950s, leads a 5-week training course for the veterans and their “battle buddies” so that the veterans can learn how to bond with and benefit from their new service dogs.
Finding the perfect match
Veterans are paired with trained service dogs based on their lifestyle and personality. For instance, a Vietnam veteran who is having trouble walking may be paired with a calm dog while a younger veteran who runs each morning is paired with a more active dog.
NWBB operates on funds from private donors and nonprofit organizations that make it financially feasible for the veterans to travel to Washington State and stay for the time required to train with their service dogs.
“Our service dogs are there in the midnight hour when no one else is,” she said. “Our veterans are fighting internal battles that no one else sees but the dogs. The dogs alert on their adrenaline and bring them back to the moment of now, interrupting suicidal ideations, panic attacks, and night terrors.”
Joshua Morganstein, MD, chair of the American Psychiatric Association’s Committee on the Psychiatric Dimensions of Disaster, said in an interview that “PTSD can be devastating for service members and veterans and is often associated with comorbid mental health conditions, such as anxiety and substance use.”
He noted that for many people, dogs and other animals can be an important source of physical, emotional, and psychological comfort.
“Programs like the Northwest Battle Buddies are important for us to study and better understand the extent to which trained animals are able to help alleviate the symptoms of PTSD and associated disorders and, perhaps most importantly, enhance the ability of service members and veterans to function and live in ways that feel healthy and productive to them,” said Dr. Morganstein.
He added that the concept of a “battle buddy” is a term pioneered by the U.S. Army in 2002 and describes a “formal, rather than ad hoc, system of peer support in which service members are assigned buddies.
“Buddies look out for each other, encourage self-care and self-advocacy and, when needed, help their buddy to seek help. Buddies remind us that someone is looking out for us and there is someone we look out for as well, both of which are protective during difficult times,” he said.
A version of this article first appeared on Medscape.com.
Universal anxiety screening recommendation is a good start
A very good thing happened this summer for patients with anxiety and the psychiatrists, psychologists, and other mental health professionals who provide treatment for them. The U.S. Preventive Services Task Force recommended anxiety screening for all adults younger than 65.
On the surface, this is a great recommendation for recognition and caring for those who deal with and suffer from an anxiety disorder or multiple anxiety disorders. Although the USPSTF recommendations are independent of the U.S. government and are not an official position of the Department of Health & Human Services, they are a wonderful start at recognizing the importance of mental health care.
After all, anxiety disorders are the most commonly experienced and diagnosed mental disorders, according to the DSM-5.
They range mainly from generalized anxiety disorder (GAD), to panic attacks and panic disorder, separation anxiety, specific type phobias (bridges, tunnels, insects, snakes, and the list goes on), to other phobias, including agoraphobia, social phobia, and of course, anxiety caused by medical conditions. GAD alone occurs in, at least, more than 3% of the population.
Those of us who have been treating anxiety disorders for decades recognize them as an issue affecting both mental and physical well-being, not only because of the emotional causes but the physical distress and illnesses that anxiety may precipitate or worsen.
For example, blood pressure– and heart-related issues, GI disorders, and musculoskeletal issues are just a few examples of how our bodies and organ systems are affected by anxiety. Just the momentary physical symptoms of tachycardia or the “runs” before an exam are fine examples of how anxiety may affect patients physically, and an ongoing, consistent anxiety is potentially more harmful.
In fact, a first panic attack or episode of generalized anxiety may be so serious that an emergency department or physician visit is necessary to rule out a heart attack, asthma, or breathing issues – even a hormone or thyroid emergency, or a cardiac arrhythmia. Panic attacks alone create a high number of ED visits.
Treatments mainly include medication management and a variety of psychotherapy techniques. Currently, the most preferred, first-choice medications are the SSRI antidepressants, which are Food and Drug Administration approved for anxiety as well. These include Zoloft (sertraline), Prozac/Sarafem (fluoxetine), Celexa (citalopram), and Lexapro (escitalopram).
For many years, benzodiazepines (that is, tranquillizers) such as Valium (diazepam), Ativan (lorazepam), and Klonopin/Rivotril (clonazepam) to name a few, were the mainstay of anxiety treatment, but they have proven addictive and may affect cognition and memory. As the current opioid epidemic has shown, when combined with opioids, benzodiazepines are a potentially lethal combination and when used, they need to be for shorter-term care and monitored very judiciously.
It should be noted that after ongoing long-term use of an SSRI for anxiety or depression, it should not be stopped abruptly, as a variety of physical symptoms (for example, flu-like symptoms) may occur.
Benefits of nonmedicinal therapies
There are a variety of talk therapies, from dynamic psychotherapies to cognitive-behavioral therapies (CBT), plus relaxation techniques and guided imagery that have all had a good amount of success in treating generalized anxiety, panic disorder, as well as various types of phobias.
When medications are stopped, the anxiety symptoms may well return. But when using nonmedicinal therapies, clinicians have discovered that when patients develop a new perspective on the anxiety problem or have a new technique to treat anxiety, it may well be long lasting.
For me, using CBT, relaxation techniques, hypnosis, and guided imagery has been very successful in treating anxiety disorders with long-lasting results. Once a person learns to relax, whether it’s from deep breathing exercises, hypnosis (which is not sleep), mindfulness, or meditation, a strategy of guided imagery can be taught, which allows a person to practice as well as control their anxiety as a lifetime process. For example, I like imagining a large movie screen to desensitize and project anxieties.
In many instances, a combination of a medication and a talk therapy approach works best, but there are an equal number of instances in which just medication or just talk therapy is needed. Once again, knowledge, clinical judgment, and the art of care are required to make these assessments.
In other words, recognizing and treating anxiety requires highly specialized training, which is why I thought the USPSTF recommendations raise a few critical questions.
Questions and concerns
One issue, of course, is the exclusion of those patients over age 65 because of a lack of “data.” Why such an exclusion? Does this mean that data are lacking for this age group?
The concept of using solely evidenced-based data in psychiatry is itself an interesting concept because our profession, like many other medical specialties, requires practitioners to use a combination of art and science. And much can be said either way about the clarity of accuracy in the diversity of issues that arise when treating emotional disorders.
When looking at the over-65 population, has anyone thought of clinical knowledge, judgment, experience, observation, and, of course, common sense?
Just consider the worry (a cardinal feature of anxiety) that besets people over 65 when it comes to issues such as retirement, financial security, “empty nesting,” physical health issues, decreased socialization that resulted from the COVID-19 pandemic, and the perpetual loss of relatives and friends.
In addition, as we age, anxiety can come simply from the loss of identity as active lifestyles decrease and the reality of nearing life’s end becomes more of a reality. It would seem that this population would benefit enormously from anxiety screening and possible treatment.
Another major concern is that the screening and potential treatment of patients is aimed at primary care physicians. Putting the sole responsibility of providing mental health care on these overworked PCPs defies common sense unless we’re okay with 1- to 2-minute assessments of mental health issues and no doubt, a pharmacology-only approach.
If this follows the same route as well-intentioned PCPs treating depression, where 5-minute medication management is far too common, the only proper diagnostic course – the in-depth interview necessary to make a proper diagnosis – is often missing.
For example, in depression alone, it takes psychiatric experience and time to differentiate a major depressive disorder from a bipolar depression and to provide the appropriate medication and treatment plan with careful follow-up. In my experience, this usually does not happen in the exceedingly overworked, time-driven day of a PCP.
Anxiety disorders and depression can prove debilitating, and if a PCP wants the responsibility of treatment, a mandated mental health program should be followed – just as here in New York, prescribers are mandated to take a pain control, opioid, and infection control CME course to keep our licenses up to date.
Short of mandating a mental health program for PCPs, it should be part of training and CME courses that Psychiatry is a super specialty, much like orthopedics and ophthalmology, and primary care physicians should never hesitate to make referrals to the specialist.
The big picture for me, and I hope for us all, is that the USPSTF has started things rolling by making it clear that PCPs and other health care clinicians need to screen for anxiety as a disabling disorder that is quite treatable.
This approach will help to advance the destigmatization of mental health disorders. But as result, with more patients diagnosed, there will be a need for more psychiatrists – and psychologists with PhDs or PsyDs – to fill the gaps in mental health care.
Dr. London is a practicing psychiatrist and has been a newspaper columnist for 35 years, specializing in and writing about short-term therapy, including cognitive-behavioral therapy and guided imagery. He is author of “Find Freedom Fast” (New York: Kettlehole Publishing, 2019). He has no conflicts of interest.
A very good thing happened this summer for patients with anxiety and the psychiatrists, psychologists, and other mental health professionals who provide treatment for them. The U.S. Preventive Services Task Force recommended anxiety screening for all adults younger than 65.
On the surface, this is a great recommendation for recognition and caring for those who deal with and suffer from an anxiety disorder or multiple anxiety disorders. Although the USPSTF recommendations are independent of the U.S. government and are not an official position of the Department of Health & Human Services, they are a wonderful start at recognizing the importance of mental health care.
After all, anxiety disorders are the most commonly experienced and diagnosed mental disorders, according to the DSM-5.
They range mainly from generalized anxiety disorder (GAD), to panic attacks and panic disorder, separation anxiety, specific type phobias (bridges, tunnels, insects, snakes, and the list goes on), to other phobias, including agoraphobia, social phobia, and of course, anxiety caused by medical conditions. GAD alone occurs in, at least, more than 3% of the population.
Those of us who have been treating anxiety disorders for decades recognize them as an issue affecting both mental and physical well-being, not only because of the emotional causes but the physical distress and illnesses that anxiety may precipitate or worsen.
For example, blood pressure– and heart-related issues, GI disorders, and musculoskeletal issues are just a few examples of how our bodies and organ systems are affected by anxiety. Just the momentary physical symptoms of tachycardia or the “runs” before an exam are fine examples of how anxiety may affect patients physically, and an ongoing, consistent anxiety is potentially more harmful.
In fact, a first panic attack or episode of generalized anxiety may be so serious that an emergency department or physician visit is necessary to rule out a heart attack, asthma, or breathing issues – even a hormone or thyroid emergency, or a cardiac arrhythmia. Panic attacks alone create a high number of ED visits.
Treatments mainly include medication management and a variety of psychotherapy techniques. Currently, the most preferred, first-choice medications are the SSRI antidepressants, which are Food and Drug Administration approved for anxiety as well. These include Zoloft (sertraline), Prozac/Sarafem (fluoxetine), Celexa (citalopram), and Lexapro (escitalopram).
For many years, benzodiazepines (that is, tranquillizers) such as Valium (diazepam), Ativan (lorazepam), and Klonopin/Rivotril (clonazepam) to name a few, were the mainstay of anxiety treatment, but they have proven addictive and may affect cognition and memory. As the current opioid epidemic has shown, when combined with opioids, benzodiazepines are a potentially lethal combination and when used, they need to be for shorter-term care and monitored very judiciously.
It should be noted that after ongoing long-term use of an SSRI for anxiety or depression, it should not be stopped abruptly, as a variety of physical symptoms (for example, flu-like symptoms) may occur.
Benefits of nonmedicinal therapies
There are a variety of talk therapies, from dynamic psychotherapies to cognitive-behavioral therapies (CBT), plus relaxation techniques and guided imagery that have all had a good amount of success in treating generalized anxiety, panic disorder, as well as various types of phobias.
When medications are stopped, the anxiety symptoms may well return. But when using nonmedicinal therapies, clinicians have discovered that when patients develop a new perspective on the anxiety problem or have a new technique to treat anxiety, it may well be long lasting.
For me, using CBT, relaxation techniques, hypnosis, and guided imagery has been very successful in treating anxiety disorders with long-lasting results. Once a person learns to relax, whether it’s from deep breathing exercises, hypnosis (which is not sleep), mindfulness, or meditation, a strategy of guided imagery can be taught, which allows a person to practice as well as control their anxiety as a lifetime process. For example, I like imagining a large movie screen to desensitize and project anxieties.
In many instances, a combination of a medication and a talk therapy approach works best, but there are an equal number of instances in which just medication or just talk therapy is needed. Once again, knowledge, clinical judgment, and the art of care are required to make these assessments.
In other words, recognizing and treating anxiety requires highly specialized training, which is why I thought the USPSTF recommendations raise a few critical questions.
Questions and concerns
One issue, of course, is the exclusion of those patients over age 65 because of a lack of “data.” Why such an exclusion? Does this mean that data are lacking for this age group?
The concept of using solely evidenced-based data in psychiatry is itself an interesting concept because our profession, like many other medical specialties, requires practitioners to use a combination of art and science. And much can be said either way about the clarity of accuracy in the diversity of issues that arise when treating emotional disorders.
When looking at the over-65 population, has anyone thought of clinical knowledge, judgment, experience, observation, and, of course, common sense?
Just consider the worry (a cardinal feature of anxiety) that besets people over 65 when it comes to issues such as retirement, financial security, “empty nesting,” physical health issues, decreased socialization that resulted from the COVID-19 pandemic, and the perpetual loss of relatives and friends.
In addition, as we age, anxiety can come simply from the loss of identity as active lifestyles decrease and the reality of nearing life’s end becomes more of a reality. It would seem that this population would benefit enormously from anxiety screening and possible treatment.
Another major concern is that the screening and potential treatment of patients is aimed at primary care physicians. Putting the sole responsibility of providing mental health care on these overworked PCPs defies common sense unless we’re okay with 1- to 2-minute assessments of mental health issues and no doubt, a pharmacology-only approach.
If this follows the same route as well-intentioned PCPs treating depression, where 5-minute medication management is far too common, the only proper diagnostic course – the in-depth interview necessary to make a proper diagnosis – is often missing.
For example, in depression alone, it takes psychiatric experience and time to differentiate a major depressive disorder from a bipolar depression and to provide the appropriate medication and treatment plan with careful follow-up. In my experience, this usually does not happen in the exceedingly overworked, time-driven day of a PCP.
Anxiety disorders and depression can prove debilitating, and if a PCP wants the responsibility of treatment, a mandated mental health program should be followed – just as here in New York, prescribers are mandated to take a pain control, opioid, and infection control CME course to keep our licenses up to date.
Short of mandating a mental health program for PCPs, it should be part of training and CME courses that Psychiatry is a super specialty, much like orthopedics and ophthalmology, and primary care physicians should never hesitate to make referrals to the specialist.
The big picture for me, and I hope for us all, is that the USPSTF has started things rolling by making it clear that PCPs and other health care clinicians need to screen for anxiety as a disabling disorder that is quite treatable.
This approach will help to advance the destigmatization of mental health disorders. But as result, with more patients diagnosed, there will be a need for more psychiatrists – and psychologists with PhDs or PsyDs – to fill the gaps in mental health care.
Dr. London is a practicing psychiatrist and has been a newspaper columnist for 35 years, specializing in and writing about short-term therapy, including cognitive-behavioral therapy and guided imagery. He is author of “Find Freedom Fast” (New York: Kettlehole Publishing, 2019). He has no conflicts of interest.
A very good thing happened this summer for patients with anxiety and the psychiatrists, psychologists, and other mental health professionals who provide treatment for them. The U.S. Preventive Services Task Force recommended anxiety screening for all adults younger than 65.
On the surface, this is a great recommendation for recognition and caring for those who deal with and suffer from an anxiety disorder or multiple anxiety disorders. Although the USPSTF recommendations are independent of the U.S. government and are not an official position of the Department of Health & Human Services, they are a wonderful start at recognizing the importance of mental health care.
After all, anxiety disorders are the most commonly experienced and diagnosed mental disorders, according to the DSM-5.
They range mainly from generalized anxiety disorder (GAD), to panic attacks and panic disorder, separation anxiety, specific type phobias (bridges, tunnels, insects, snakes, and the list goes on), to other phobias, including agoraphobia, social phobia, and of course, anxiety caused by medical conditions. GAD alone occurs in, at least, more than 3% of the population.
Those of us who have been treating anxiety disorders for decades recognize them as an issue affecting both mental and physical well-being, not only because of the emotional causes but the physical distress and illnesses that anxiety may precipitate or worsen.
For example, blood pressure– and heart-related issues, GI disorders, and musculoskeletal issues are just a few examples of how our bodies and organ systems are affected by anxiety. Just the momentary physical symptoms of tachycardia or the “runs” before an exam are fine examples of how anxiety may affect patients physically, and an ongoing, consistent anxiety is potentially more harmful.
In fact, a first panic attack or episode of generalized anxiety may be so serious that an emergency department or physician visit is necessary to rule out a heart attack, asthma, or breathing issues – even a hormone or thyroid emergency, or a cardiac arrhythmia. Panic attacks alone create a high number of ED visits.
Treatments mainly include medication management and a variety of psychotherapy techniques. Currently, the most preferred, first-choice medications are the SSRI antidepressants, which are Food and Drug Administration approved for anxiety as well. These include Zoloft (sertraline), Prozac/Sarafem (fluoxetine), Celexa (citalopram), and Lexapro (escitalopram).
For many years, benzodiazepines (that is, tranquillizers) such as Valium (diazepam), Ativan (lorazepam), and Klonopin/Rivotril (clonazepam) to name a few, were the mainstay of anxiety treatment, but they have proven addictive and may affect cognition and memory. As the current opioid epidemic has shown, when combined with opioids, benzodiazepines are a potentially lethal combination and when used, they need to be for shorter-term care and monitored very judiciously.
It should be noted that after ongoing long-term use of an SSRI for anxiety or depression, it should not be stopped abruptly, as a variety of physical symptoms (for example, flu-like symptoms) may occur.
Benefits of nonmedicinal therapies
There are a variety of talk therapies, from dynamic psychotherapies to cognitive-behavioral therapies (CBT), plus relaxation techniques and guided imagery that have all had a good amount of success in treating generalized anxiety, panic disorder, as well as various types of phobias.
When medications are stopped, the anxiety symptoms may well return. But when using nonmedicinal therapies, clinicians have discovered that when patients develop a new perspective on the anxiety problem or have a new technique to treat anxiety, it may well be long lasting.
For me, using CBT, relaxation techniques, hypnosis, and guided imagery has been very successful in treating anxiety disorders with long-lasting results. Once a person learns to relax, whether it’s from deep breathing exercises, hypnosis (which is not sleep), mindfulness, or meditation, a strategy of guided imagery can be taught, which allows a person to practice as well as control their anxiety as a lifetime process. For example, I like imagining a large movie screen to desensitize and project anxieties.
In many instances, a combination of a medication and a talk therapy approach works best, but there are an equal number of instances in which just medication or just talk therapy is needed. Once again, knowledge, clinical judgment, and the art of care are required to make these assessments.
In other words, recognizing and treating anxiety requires highly specialized training, which is why I thought the USPSTF recommendations raise a few critical questions.
Questions and concerns
One issue, of course, is the exclusion of those patients over age 65 because of a lack of “data.” Why such an exclusion? Does this mean that data are lacking for this age group?
The concept of using solely evidenced-based data in psychiatry is itself an interesting concept because our profession, like many other medical specialties, requires practitioners to use a combination of art and science. And much can be said either way about the clarity of accuracy in the diversity of issues that arise when treating emotional disorders.
When looking at the over-65 population, has anyone thought of clinical knowledge, judgment, experience, observation, and, of course, common sense?
Just consider the worry (a cardinal feature of anxiety) that besets people over 65 when it comes to issues such as retirement, financial security, “empty nesting,” physical health issues, decreased socialization that resulted from the COVID-19 pandemic, and the perpetual loss of relatives and friends.
In addition, as we age, anxiety can come simply from the loss of identity as active lifestyles decrease and the reality of nearing life’s end becomes more of a reality. It would seem that this population would benefit enormously from anxiety screening and possible treatment.
Another major concern is that the screening and potential treatment of patients is aimed at primary care physicians. Putting the sole responsibility of providing mental health care on these overworked PCPs defies common sense unless we’re okay with 1- to 2-minute assessments of mental health issues and no doubt, a pharmacology-only approach.
If this follows the same route as well-intentioned PCPs treating depression, where 5-minute medication management is far too common, the only proper diagnostic course – the in-depth interview necessary to make a proper diagnosis – is often missing.
For example, in depression alone, it takes psychiatric experience and time to differentiate a major depressive disorder from a bipolar depression and to provide the appropriate medication and treatment plan with careful follow-up. In my experience, this usually does not happen in the exceedingly overworked, time-driven day of a PCP.
Anxiety disorders and depression can prove debilitating, and if a PCP wants the responsibility of treatment, a mandated mental health program should be followed – just as here in New York, prescribers are mandated to take a pain control, opioid, and infection control CME course to keep our licenses up to date.
Short of mandating a mental health program for PCPs, it should be part of training and CME courses that Psychiatry is a super specialty, much like orthopedics and ophthalmology, and primary care physicians should never hesitate to make referrals to the specialist.
The big picture for me, and I hope for us all, is that the USPSTF has started things rolling by making it clear that PCPs and other health care clinicians need to screen for anxiety as a disabling disorder that is quite treatable.
This approach will help to advance the destigmatization of mental health disorders. But as result, with more patients diagnosed, there will be a need for more psychiatrists – and psychologists with PhDs or PsyDs – to fill the gaps in mental health care.
Dr. London is a practicing psychiatrist and has been a newspaper columnist for 35 years, specializing in and writing about short-term therapy, including cognitive-behavioral therapy and guided imagery. He is author of “Find Freedom Fast” (New York: Kettlehole Publishing, 2019). He has no conflicts of interest.