User login
Social Frailty Linked to Risk for Predementia Syndrome
TOPLINE:
Social frailty, the lack of resources to meet basic social needs, is associated with an increased risk for motoric cognitive risk syndrome (MCR), a predementia syndrome characterized by cognitive complaints and slow gait, results of a large, population-based study suggested.
METHODOLOGY:
- The study used 2011 (Round 1) to 2018 (Round 8) data on a discovery sample of 4657 individuals without MCR or dementia at baseline from the National Health and Aging Trends Study (NHATS), a longitudinal survey of older adult Medicare beneficiaries.
- Researchers also collected data on 3075 newly recruited individuals in Round 5 and followed to Round 8 as an independent validation sample to create a pooled sample of 7732 older adults, mean age 76.06, without MCR at baseline.
- Social frailty, assessed at baseline, included five social items: Going out less, not feeling confident, rarely visiting friends/family, not talking with others, and without live-in partner/spouse (researchers divided participants into normal [zero to one items] and social frailty [two to five items] groups).
- Individuals were considered to have MCR if they had both subjective cognitive complaints and slow gait speed (greater than 1 standard deviation below age-specific level) without dementia or mobility disability.
- Covariates included demographic and lifestyle data, presence of depression and/or anxiety symptoms, and number of chronic diseases.
TAKEAWAY:
- During a median follow-up period of 4 years, 10.35% individuals were diagnosed with MCR.
- After the researchers controlled for confounding factors, those with social frailty had an increased risk for MCR compared with the normal group (pooled sample: hazard ratio [HR], 1.57; 95% CI, 1.34-1.84; P < .001).
- Each additional unfavorable social item was associated with an increased risk for MCR (pooled sample: HR, 1.32; 95% CI, 1.22-1.43; P < .001).
- Results of stratified analyses across subgroups suggested individuals with social frailty had a significantly higher risk for incident MCR than that of those without social frailty, regardless of socioeconomic status, lifestyle factors, chronic diseases, and mental health.
IN PRACTICE:
The findings suggest assessing social frailty using simple questions “is an efficient tool for detecting older individuals with a high risk of MCR,” the authors wrote. They noted that the addition of such a tool in clinical practice may facilitate “timely implementation of prevention strategies.”
SOURCE:
The research was led by Hui Zhang, Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China. It was published online on January 29, 2024, in Alzheimer’s & Dementia.
LIMITATIONS:
The study was observational, so the association between social frailty and MCR is merely correlational. Due to the lack of genetic information in NHATS data, researchers didn’t evaluate the effect of genetic factors such as apolipoprotein E on the association between social frailty and MCR. Social frailty was assessed at a single time point. In addition, the researchers were unable examine the time sequence between social frailty and MCR and so could not determine the cause of this association.
DISCLOSURES:
The study was supported by the National Natural Science Foundation of China-Youth Science Fund, Shanghai Rising-Star Program, Shanghai Municipal Health Commission and Key Discipline Construction Project of Pudong Health, and Family Planning Commission of Shanghai. The authors reported no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Social frailty, the lack of resources to meet basic social needs, is associated with an increased risk for motoric cognitive risk syndrome (MCR), a predementia syndrome characterized by cognitive complaints and slow gait, results of a large, population-based study suggested.
METHODOLOGY:
- The study used 2011 (Round 1) to 2018 (Round 8) data on a discovery sample of 4657 individuals without MCR or dementia at baseline from the National Health and Aging Trends Study (NHATS), a longitudinal survey of older adult Medicare beneficiaries.
- Researchers also collected data on 3075 newly recruited individuals in Round 5 and followed to Round 8 as an independent validation sample to create a pooled sample of 7732 older adults, mean age 76.06, without MCR at baseline.
- Social frailty, assessed at baseline, included five social items: Going out less, not feeling confident, rarely visiting friends/family, not talking with others, and without live-in partner/spouse (researchers divided participants into normal [zero to one items] and social frailty [two to five items] groups).
- Individuals were considered to have MCR if they had both subjective cognitive complaints and slow gait speed (greater than 1 standard deviation below age-specific level) without dementia or mobility disability.
- Covariates included demographic and lifestyle data, presence of depression and/or anxiety symptoms, and number of chronic diseases.
TAKEAWAY:
- During a median follow-up period of 4 years, 10.35% individuals were diagnosed with MCR.
- After the researchers controlled for confounding factors, those with social frailty had an increased risk for MCR compared with the normal group (pooled sample: hazard ratio [HR], 1.57; 95% CI, 1.34-1.84; P < .001).
- Each additional unfavorable social item was associated with an increased risk for MCR (pooled sample: HR, 1.32; 95% CI, 1.22-1.43; P < .001).
- Results of stratified analyses across subgroups suggested individuals with social frailty had a significantly higher risk for incident MCR than that of those without social frailty, regardless of socioeconomic status, lifestyle factors, chronic diseases, and mental health.
IN PRACTICE:
The findings suggest assessing social frailty using simple questions “is an efficient tool for detecting older individuals with a high risk of MCR,” the authors wrote. They noted that the addition of such a tool in clinical practice may facilitate “timely implementation of prevention strategies.”
SOURCE:
The research was led by Hui Zhang, Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China. It was published online on January 29, 2024, in Alzheimer’s & Dementia.
LIMITATIONS:
The study was observational, so the association between social frailty and MCR is merely correlational. Due to the lack of genetic information in NHATS data, researchers didn’t evaluate the effect of genetic factors such as apolipoprotein E on the association between social frailty and MCR. Social frailty was assessed at a single time point. In addition, the researchers were unable examine the time sequence between social frailty and MCR and so could not determine the cause of this association.
DISCLOSURES:
The study was supported by the National Natural Science Foundation of China-Youth Science Fund, Shanghai Rising-Star Program, Shanghai Municipal Health Commission and Key Discipline Construction Project of Pudong Health, and Family Planning Commission of Shanghai. The authors reported no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Social frailty, the lack of resources to meet basic social needs, is associated with an increased risk for motoric cognitive risk syndrome (MCR), a predementia syndrome characterized by cognitive complaints and slow gait, results of a large, population-based study suggested.
METHODOLOGY:
- The study used 2011 (Round 1) to 2018 (Round 8) data on a discovery sample of 4657 individuals without MCR or dementia at baseline from the National Health and Aging Trends Study (NHATS), a longitudinal survey of older adult Medicare beneficiaries.
- Researchers also collected data on 3075 newly recruited individuals in Round 5 and followed to Round 8 as an independent validation sample to create a pooled sample of 7732 older adults, mean age 76.06, without MCR at baseline.
- Social frailty, assessed at baseline, included five social items: Going out less, not feeling confident, rarely visiting friends/family, not talking with others, and without live-in partner/spouse (researchers divided participants into normal [zero to one items] and social frailty [two to five items] groups).
- Individuals were considered to have MCR if they had both subjective cognitive complaints and slow gait speed (greater than 1 standard deviation below age-specific level) without dementia or mobility disability.
- Covariates included demographic and lifestyle data, presence of depression and/or anxiety symptoms, and number of chronic diseases.
TAKEAWAY:
- During a median follow-up period of 4 years, 10.35% individuals were diagnosed with MCR.
- After the researchers controlled for confounding factors, those with social frailty had an increased risk for MCR compared with the normal group (pooled sample: hazard ratio [HR], 1.57; 95% CI, 1.34-1.84; P < .001).
- Each additional unfavorable social item was associated with an increased risk for MCR (pooled sample: HR, 1.32; 95% CI, 1.22-1.43; P < .001).
- Results of stratified analyses across subgroups suggested individuals with social frailty had a significantly higher risk for incident MCR than that of those without social frailty, regardless of socioeconomic status, lifestyle factors, chronic diseases, and mental health.
IN PRACTICE:
The findings suggest assessing social frailty using simple questions “is an efficient tool for detecting older individuals with a high risk of MCR,” the authors wrote. They noted that the addition of such a tool in clinical practice may facilitate “timely implementation of prevention strategies.”
SOURCE:
The research was led by Hui Zhang, Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China. It was published online on January 29, 2024, in Alzheimer’s & Dementia.
LIMITATIONS:
The study was observational, so the association between social frailty and MCR is merely correlational. Due to the lack of genetic information in NHATS data, researchers didn’t evaluate the effect of genetic factors such as apolipoprotein E on the association between social frailty and MCR. Social frailty was assessed at a single time point. In addition, the researchers were unable examine the time sequence between social frailty and MCR and so could not determine the cause of this association.
DISCLOSURES:
The study was supported by the National Natural Science Foundation of China-Youth Science Fund, Shanghai Rising-Star Program, Shanghai Municipal Health Commission and Key Discipline Construction Project of Pudong Health, and Family Planning Commission of Shanghai. The authors reported no relevant conflicts of interest.
A version of this article appeared on Medscape.com.
Psychotherapy as Effective as Drugs for Depression in HF
TOPLINE:
, a comparative trial of these interventions found.
METHODOLOGY:
- The study included 416 patients with HF and a confirmed depressive disorder from the Cedars-Sinai Health System, with a mean age of 60.71 years, including nearly 42% women and 30% Black individuals, who were randomized to receive one of two evidence-based treatments for depression in HF: Antidepressant medication management (MEDS) or behavioral activation (BA) psychotherapy. BA therapy promotes engaging in pleasurable and rewarding activities without delving into complex cognitive domains explored in cognitive behavioral therapy, another psychotherapy type.
- All patients received 12 weekly sessions delivered via video or telephone, followed by monthly sessions for 3 months, and were then contacted as needed for an additional 6 months.
- The primary outcome was depressive symptom severity at 6 months, measured by the Patient Health Questionnaire 9-Item (PHQ-9), and secondary outcomes included three measures of health-related quality of life (HRQOL) — caregiver burden, morbidity, and mortality — collected at 3, 6, and 12 months.
- Physical and mental HRQOL were measured with the 12-Item Short-Form Medical Outcomes Study (SF-12), HF-specific HRQOL with the 23-item patient-reported Kansas City Cardiomyopathy Questionnaire, caregiver burden with the 26-item Caregiver Burden Questionnaire for HF, morbidity by ED visits, hospital readmissions, and days hospitalized, and mortality data came from medical records and family or caregiver reports, with survival assessed using Kaplan-Meier plots at 3, 6, and 12 months.
- Covariates included age, sex, race, ethnicity, marital status, employment, education, insurance type, recruitment site (inpatient or outpatient), ejection fraction (preserved or reduced), New York Heart Association class, medical history, and medications.
TAKEAWAY:
- Depressive symptom severity was reduced at 6 months by nearly 50% for both BA (mean PHQ-9 score, 7.53; P vs baseline < .001) and MEDS (mean PHQ-9 score, 8.09; P vs baseline < .001) participants, with reductions persisting at 12 months and no significant difference between groups.
- Compared with MEDS recipients, those who received BA had slightly higher improvement in physical HRQOL at 6 months (multivariable mean difference without imputation, 2.13; 95% CI, 0.06-4.20; P = .04), but there were no statistically significant differences between groups in mental HRQOL, HF-specific HRQOL, or caregiver burden at 3, 6, or 12 months.
- Patients who received BA were significantly less likely than those in the MEDS group to have ED visits and spent fewer days in hospital at 3, 6, and 12 months, but there was no significant difference in number of hospital readmissions or in mortality at 3, 6, or 12 months.
IN PRACTICE:
“Our findings of comparable primary effects between BA and MEDS suggest both options are effective and that personal preferences, patient values, and availability of services could inform decisions,” the authors wrote. They noted BA has no pharmacological adverse effects but requires more engagement than drug therapy and might be less accessible.
SOURCE:
The study was conducted by Waguih William IsHak, MD, Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, and others. It was published online on January 17, 2024, in JAMA Network Open.
LIMITATIONS:
As the study had no control group, such as a waiting list, it was impossible to draw conclusions about the natural course of depressive symptoms in HF. However, the authors noted improvements were sustained at 12 months despite substantially diminished contact with intervention teams after 6 months. Researchers were unable to collect data for ED visits, readmissions, and hospital stays outside of California and didn’t assess treatment preference at enrollment, which could have helped inform the association with outcomes and adherence.
DISCLOSURES:
The study was funded by the Patient-Centered Outcome Research Institute, paid to Cedars-Sinai Medical Center. Dr. IsHak reported receiving royalties from Springer Nature and Cambridge University Press. No other disclosures were reported.
A version of this article appeared on Medscape.com.
TOPLINE:
, a comparative trial of these interventions found.
METHODOLOGY:
- The study included 416 patients with HF and a confirmed depressive disorder from the Cedars-Sinai Health System, with a mean age of 60.71 years, including nearly 42% women and 30% Black individuals, who were randomized to receive one of two evidence-based treatments for depression in HF: Antidepressant medication management (MEDS) or behavioral activation (BA) psychotherapy. BA therapy promotes engaging in pleasurable and rewarding activities without delving into complex cognitive domains explored in cognitive behavioral therapy, another psychotherapy type.
- All patients received 12 weekly sessions delivered via video or telephone, followed by monthly sessions for 3 months, and were then contacted as needed for an additional 6 months.
- The primary outcome was depressive symptom severity at 6 months, measured by the Patient Health Questionnaire 9-Item (PHQ-9), and secondary outcomes included three measures of health-related quality of life (HRQOL) — caregiver burden, morbidity, and mortality — collected at 3, 6, and 12 months.
- Physical and mental HRQOL were measured with the 12-Item Short-Form Medical Outcomes Study (SF-12), HF-specific HRQOL with the 23-item patient-reported Kansas City Cardiomyopathy Questionnaire, caregiver burden with the 26-item Caregiver Burden Questionnaire for HF, morbidity by ED visits, hospital readmissions, and days hospitalized, and mortality data came from medical records and family or caregiver reports, with survival assessed using Kaplan-Meier plots at 3, 6, and 12 months.
- Covariates included age, sex, race, ethnicity, marital status, employment, education, insurance type, recruitment site (inpatient or outpatient), ejection fraction (preserved or reduced), New York Heart Association class, medical history, and medications.
TAKEAWAY:
- Depressive symptom severity was reduced at 6 months by nearly 50% for both BA (mean PHQ-9 score, 7.53; P vs baseline < .001) and MEDS (mean PHQ-9 score, 8.09; P vs baseline < .001) participants, with reductions persisting at 12 months and no significant difference between groups.
- Compared with MEDS recipients, those who received BA had slightly higher improvement in physical HRQOL at 6 months (multivariable mean difference without imputation, 2.13; 95% CI, 0.06-4.20; P = .04), but there were no statistically significant differences between groups in mental HRQOL, HF-specific HRQOL, or caregiver burden at 3, 6, or 12 months.
- Patients who received BA were significantly less likely than those in the MEDS group to have ED visits and spent fewer days in hospital at 3, 6, and 12 months, but there was no significant difference in number of hospital readmissions or in mortality at 3, 6, or 12 months.
IN PRACTICE:
“Our findings of comparable primary effects between BA and MEDS suggest both options are effective and that personal preferences, patient values, and availability of services could inform decisions,” the authors wrote. They noted BA has no pharmacological adverse effects but requires more engagement than drug therapy and might be less accessible.
SOURCE:
The study was conducted by Waguih William IsHak, MD, Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, and others. It was published online on January 17, 2024, in JAMA Network Open.
LIMITATIONS:
As the study had no control group, such as a waiting list, it was impossible to draw conclusions about the natural course of depressive symptoms in HF. However, the authors noted improvements were sustained at 12 months despite substantially diminished contact with intervention teams after 6 months. Researchers were unable to collect data for ED visits, readmissions, and hospital stays outside of California and didn’t assess treatment preference at enrollment, which could have helped inform the association with outcomes and adherence.
DISCLOSURES:
The study was funded by the Patient-Centered Outcome Research Institute, paid to Cedars-Sinai Medical Center. Dr. IsHak reported receiving royalties from Springer Nature and Cambridge University Press. No other disclosures were reported.
A version of this article appeared on Medscape.com.
TOPLINE:
, a comparative trial of these interventions found.
METHODOLOGY:
- The study included 416 patients with HF and a confirmed depressive disorder from the Cedars-Sinai Health System, with a mean age of 60.71 years, including nearly 42% women and 30% Black individuals, who were randomized to receive one of two evidence-based treatments for depression in HF: Antidepressant medication management (MEDS) or behavioral activation (BA) psychotherapy. BA therapy promotes engaging in pleasurable and rewarding activities without delving into complex cognitive domains explored in cognitive behavioral therapy, another psychotherapy type.
- All patients received 12 weekly sessions delivered via video or telephone, followed by monthly sessions for 3 months, and were then contacted as needed for an additional 6 months.
- The primary outcome was depressive symptom severity at 6 months, measured by the Patient Health Questionnaire 9-Item (PHQ-9), and secondary outcomes included three measures of health-related quality of life (HRQOL) — caregiver burden, morbidity, and mortality — collected at 3, 6, and 12 months.
- Physical and mental HRQOL were measured with the 12-Item Short-Form Medical Outcomes Study (SF-12), HF-specific HRQOL with the 23-item patient-reported Kansas City Cardiomyopathy Questionnaire, caregiver burden with the 26-item Caregiver Burden Questionnaire for HF, morbidity by ED visits, hospital readmissions, and days hospitalized, and mortality data came from medical records and family or caregiver reports, with survival assessed using Kaplan-Meier plots at 3, 6, and 12 months.
- Covariates included age, sex, race, ethnicity, marital status, employment, education, insurance type, recruitment site (inpatient or outpatient), ejection fraction (preserved or reduced), New York Heart Association class, medical history, and medications.
TAKEAWAY:
- Depressive symptom severity was reduced at 6 months by nearly 50% for both BA (mean PHQ-9 score, 7.53; P vs baseline < .001) and MEDS (mean PHQ-9 score, 8.09; P vs baseline < .001) participants, with reductions persisting at 12 months and no significant difference between groups.
- Compared with MEDS recipients, those who received BA had slightly higher improvement in physical HRQOL at 6 months (multivariable mean difference without imputation, 2.13; 95% CI, 0.06-4.20; P = .04), but there were no statistically significant differences between groups in mental HRQOL, HF-specific HRQOL, or caregiver burden at 3, 6, or 12 months.
- Patients who received BA were significantly less likely than those in the MEDS group to have ED visits and spent fewer days in hospital at 3, 6, and 12 months, but there was no significant difference in number of hospital readmissions or in mortality at 3, 6, or 12 months.
IN PRACTICE:
“Our findings of comparable primary effects between BA and MEDS suggest both options are effective and that personal preferences, patient values, and availability of services could inform decisions,” the authors wrote. They noted BA has no pharmacological adverse effects but requires more engagement than drug therapy and might be less accessible.
SOURCE:
The study was conducted by Waguih William IsHak, MD, Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, and others. It was published online on January 17, 2024, in JAMA Network Open.
LIMITATIONS:
As the study had no control group, such as a waiting list, it was impossible to draw conclusions about the natural course of depressive symptoms in HF. However, the authors noted improvements were sustained at 12 months despite substantially diminished contact with intervention teams after 6 months. Researchers were unable to collect data for ED visits, readmissions, and hospital stays outside of California and didn’t assess treatment preference at enrollment, which could have helped inform the association with outcomes and adherence.
DISCLOSURES:
The study was funded by the Patient-Centered Outcome Research Institute, paid to Cedars-Sinai Medical Center. Dr. IsHak reported receiving royalties from Springer Nature and Cambridge University Press. No other disclosures were reported.
A version of this article appeared on Medscape.com.
OCD Tied to a Twofold Increased Risk for All-Cause Mortality
TOPLINE:
Obsessive-compulsive disorder (OCD) is linked to a twofold increased risk for all-cause mortality and a heightened risk for death from both natural and unnatural causes, a new study showed.
METHODOLOGY:
- Investigators studied a population-based cohort (58% female) of 61,378 people with OCD and 613,780 unaffected individuals from several Swedish population registers and a sibling cohort of 34,085 people with OCD (58% female) and 47,874 unaffected full siblings (48% female).
- The median 8.1-year follow-up and median age at first diagnosis of OCD were 27 years.
- The researchers used Cox proportional hazard models, adjusting for birth year, sex, county, country of birth (Sweden vs abroad), and sociodemographic variables.
TAKEAWAY:
- (adjusted hazard ratio [aHR], 1.82; 95% CI, 1.76-1.89), an almost threefold higher risk for mortality due to unnatural causes (aHR, 3.30; 95% CI, 3.05-3.57), and a higher risk for mortality due to natural causes (aHR, 1.31; 95% CI, 1.24-1.37).
- Of all the unnatural causes of death, suicide was most common (hazard ratio [HR], 4.90; 95% CI, 4.40-5.46), followed by accidents (HR, 1.92; 95% CI, 1.68-2.19).
- Similar results were found in the sibling comparison, where the HR of all-cause mortality was 1.85 (95% CI, 1.67-2.03), death from natural causes was 1.51 (95% CI, 1.35-1.68), and death from unnatural causes was 3.10 (95% CI, 2.52-3.80).
- Natural causes of death that were higher in the OCD vs non-OCD cohort included endocrine, nutritional, and metabolic diseases; mental and behavioral disorders; and diseases of the nervous, circulatory, respiratory, digestive, and genitourinary systems.
IN PRACTICE:
“Better surveillance, prevention, and early intervention strategies should be implemented to reduce the risk of fatal outcomes in people with OCD,” the authors wrote.
SOURCE:
Lorena Fernández de la Cruz, PhD, of Karolinska Institutet, Solna, Sweden, led the study, which was published online on January 17 in the British Medical Journal.
LIMITATIONS:
The study does not establish causality. Registry data used by the investigators only included diagnoses made in specialist care and may not have included diagnoses made in other settings. It is also unclear whether the findings, derived from a Swedish population, can be generalized to other populations, health systems, and medical practices.
DISCLOSURES:
The study was funded by the Swedish Council for Health, Working Life and Welfare, Region Stockholm, the Swedish Society of Medicine, and Karolinska Institutet. Dr. de la Cruz received royalties for contributing articles to UpToDate and Wolters Kluwer Health and for editorial work from Elsevier outside the submitted work. See the paper for disclosures of the other authors.
A version of this article appeared on Medscape.com.
TOPLINE:
Obsessive-compulsive disorder (OCD) is linked to a twofold increased risk for all-cause mortality and a heightened risk for death from both natural and unnatural causes, a new study showed.
METHODOLOGY:
- Investigators studied a population-based cohort (58% female) of 61,378 people with OCD and 613,780 unaffected individuals from several Swedish population registers and a sibling cohort of 34,085 people with OCD (58% female) and 47,874 unaffected full siblings (48% female).
- The median 8.1-year follow-up and median age at first diagnosis of OCD were 27 years.
- The researchers used Cox proportional hazard models, adjusting for birth year, sex, county, country of birth (Sweden vs abroad), and sociodemographic variables.
TAKEAWAY:
- (adjusted hazard ratio [aHR], 1.82; 95% CI, 1.76-1.89), an almost threefold higher risk for mortality due to unnatural causes (aHR, 3.30; 95% CI, 3.05-3.57), and a higher risk for mortality due to natural causes (aHR, 1.31; 95% CI, 1.24-1.37).
- Of all the unnatural causes of death, suicide was most common (hazard ratio [HR], 4.90; 95% CI, 4.40-5.46), followed by accidents (HR, 1.92; 95% CI, 1.68-2.19).
- Similar results were found in the sibling comparison, where the HR of all-cause mortality was 1.85 (95% CI, 1.67-2.03), death from natural causes was 1.51 (95% CI, 1.35-1.68), and death from unnatural causes was 3.10 (95% CI, 2.52-3.80).
- Natural causes of death that were higher in the OCD vs non-OCD cohort included endocrine, nutritional, and metabolic diseases; mental and behavioral disorders; and diseases of the nervous, circulatory, respiratory, digestive, and genitourinary systems.
IN PRACTICE:
“Better surveillance, prevention, and early intervention strategies should be implemented to reduce the risk of fatal outcomes in people with OCD,” the authors wrote.
SOURCE:
Lorena Fernández de la Cruz, PhD, of Karolinska Institutet, Solna, Sweden, led the study, which was published online on January 17 in the British Medical Journal.
LIMITATIONS:
The study does not establish causality. Registry data used by the investigators only included diagnoses made in specialist care and may not have included diagnoses made in other settings. It is also unclear whether the findings, derived from a Swedish population, can be generalized to other populations, health systems, and medical practices.
DISCLOSURES:
The study was funded by the Swedish Council for Health, Working Life and Welfare, Region Stockholm, the Swedish Society of Medicine, and Karolinska Institutet. Dr. de la Cruz received royalties for contributing articles to UpToDate and Wolters Kluwer Health and for editorial work from Elsevier outside the submitted work. See the paper for disclosures of the other authors.
A version of this article appeared on Medscape.com.
TOPLINE:
Obsessive-compulsive disorder (OCD) is linked to a twofold increased risk for all-cause mortality and a heightened risk for death from both natural and unnatural causes, a new study showed.
METHODOLOGY:
- Investigators studied a population-based cohort (58% female) of 61,378 people with OCD and 613,780 unaffected individuals from several Swedish population registers and a sibling cohort of 34,085 people with OCD (58% female) and 47,874 unaffected full siblings (48% female).
- The median 8.1-year follow-up and median age at first diagnosis of OCD were 27 years.
- The researchers used Cox proportional hazard models, adjusting for birth year, sex, county, country of birth (Sweden vs abroad), and sociodemographic variables.
TAKEAWAY:
- (adjusted hazard ratio [aHR], 1.82; 95% CI, 1.76-1.89), an almost threefold higher risk for mortality due to unnatural causes (aHR, 3.30; 95% CI, 3.05-3.57), and a higher risk for mortality due to natural causes (aHR, 1.31; 95% CI, 1.24-1.37).
- Of all the unnatural causes of death, suicide was most common (hazard ratio [HR], 4.90; 95% CI, 4.40-5.46), followed by accidents (HR, 1.92; 95% CI, 1.68-2.19).
- Similar results were found in the sibling comparison, where the HR of all-cause mortality was 1.85 (95% CI, 1.67-2.03), death from natural causes was 1.51 (95% CI, 1.35-1.68), and death from unnatural causes was 3.10 (95% CI, 2.52-3.80).
- Natural causes of death that were higher in the OCD vs non-OCD cohort included endocrine, nutritional, and metabolic diseases; mental and behavioral disorders; and diseases of the nervous, circulatory, respiratory, digestive, and genitourinary systems.
IN PRACTICE:
“Better surveillance, prevention, and early intervention strategies should be implemented to reduce the risk of fatal outcomes in people with OCD,” the authors wrote.
SOURCE:
Lorena Fernández de la Cruz, PhD, of Karolinska Institutet, Solna, Sweden, led the study, which was published online on January 17 in the British Medical Journal.
LIMITATIONS:
The study does not establish causality. Registry data used by the investigators only included diagnoses made in specialist care and may not have included diagnoses made in other settings. It is also unclear whether the findings, derived from a Swedish population, can be generalized to other populations, health systems, and medical practices.
DISCLOSURES:
The study was funded by the Swedish Council for Health, Working Life and Welfare, Region Stockholm, the Swedish Society of Medicine, and Karolinska Institutet. Dr. de la Cruz received royalties for contributing articles to UpToDate and Wolters Kluwer Health and for editorial work from Elsevier outside the submitted work. See the paper for disclosures of the other authors.
A version of this article appeared on Medscape.com.
Mental Health Screening May Benefit Youth With Obesity
TOPLINE:
Mental health comorbidities are prevalent among youth with overweight or obesity, with the strongest risk factors being male sex, older age, and extreme obesity.
METHODOLOGY:
- Researchers compared clinical characteristics and outcomes among children, adolescents, and young adults with overweight or obesity with or without a comorbid mental disorder who participated in a lifestyle intervention program.
- Overall, data from 114,248 individuals (age, 6-30 years; 53% females) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry were evaluated.
- Individuals were excluded if they had bariatric surgery or used weight-modifying drugs (metformin, orlistat, or glucagon-like peptide-1 analogues).
- Body mass index (BMI) was calculated as a standard deviation score (SDS) from a German youth population reference and was used to define overweight (90th to < 97th percentile), obesity (97th percentile), and severe obesity (≥ 99.5th percentile), which at age 18 correspond to adult cutoffs for overweight and obesity (25 kg/m2 and 30 kg/m2, respectively).
- Regression analysis identified the factors associated with mental disorders in those with overweight or obesity.
TAKEAWAY:
- A comorbid mental disorder was reported in 3969 individuals, with attention-deficit disorder (ADHD, 42.5%), anxiety (31.3%), depression (24.3%), and eating disorders (12.9%) being the most common.
- The factors most strongly associated with mental health comorbidity were male sex (odds ratio [OR], 1.39; 95% CI, 1.27-1.52), older age (OR, 1.42; 95% CI, 1.25-1.62), and severe obesity (OR, 1.45; 95% CI, 1.30-1.63).
- Mean BMI-SDS was higher in individuals with depression and eating disorders and lower in individuals with ADHD (both P < .001) than in those without mental disorders.
- Individuals with and without mental disorders benefited from similar BMI changes from lifestyle intervention programs.
IN PRACTICE:
The authors wrote, “Healthcare professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders, and regular mental health screening should be considered.”
SOURCE:
This study, led by Angela Galler from the Charité – Universitätsmedizin Berlin, Germany, was published online on January 9, 2024, in the International Journal of Obesity.
LIMITATIONS:
The study’s findings are based on data from a group of children, adolescents, and young adults with overweight or obesity treated in specialized obesity centers and may not be generalizable to all youth with obesity. Moreover, the study could not establish any conclusions regarding the cause or effect between obesity and mental disorders. Individuals were not tested psychologically for mental disorders and might have been underreported.
DISCLOSURES:
The manuscript is part of the Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy project, which was funded by the Innovative Medicines Initiative 2 Joint Undertaking. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Mental health comorbidities are prevalent among youth with overweight or obesity, with the strongest risk factors being male sex, older age, and extreme obesity.
METHODOLOGY:
- Researchers compared clinical characteristics and outcomes among children, adolescents, and young adults with overweight or obesity with or without a comorbid mental disorder who participated in a lifestyle intervention program.
- Overall, data from 114,248 individuals (age, 6-30 years; 53% females) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry were evaluated.
- Individuals were excluded if they had bariatric surgery or used weight-modifying drugs (metformin, orlistat, or glucagon-like peptide-1 analogues).
- Body mass index (BMI) was calculated as a standard deviation score (SDS) from a German youth population reference and was used to define overweight (90th to < 97th percentile), obesity (97th percentile), and severe obesity (≥ 99.5th percentile), which at age 18 correspond to adult cutoffs for overweight and obesity (25 kg/m2 and 30 kg/m2, respectively).
- Regression analysis identified the factors associated with mental disorders in those with overweight or obesity.
TAKEAWAY:
- A comorbid mental disorder was reported in 3969 individuals, with attention-deficit disorder (ADHD, 42.5%), anxiety (31.3%), depression (24.3%), and eating disorders (12.9%) being the most common.
- The factors most strongly associated with mental health comorbidity were male sex (odds ratio [OR], 1.39; 95% CI, 1.27-1.52), older age (OR, 1.42; 95% CI, 1.25-1.62), and severe obesity (OR, 1.45; 95% CI, 1.30-1.63).
- Mean BMI-SDS was higher in individuals with depression and eating disorders and lower in individuals with ADHD (both P < .001) than in those without mental disorders.
- Individuals with and without mental disorders benefited from similar BMI changes from lifestyle intervention programs.
IN PRACTICE:
The authors wrote, “Healthcare professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders, and regular mental health screening should be considered.”
SOURCE:
This study, led by Angela Galler from the Charité – Universitätsmedizin Berlin, Germany, was published online on January 9, 2024, in the International Journal of Obesity.
LIMITATIONS:
The study’s findings are based on data from a group of children, adolescents, and young adults with overweight or obesity treated in specialized obesity centers and may not be generalizable to all youth with obesity. Moreover, the study could not establish any conclusions regarding the cause or effect between obesity and mental disorders. Individuals were not tested psychologically for mental disorders and might have been underreported.
DISCLOSURES:
The manuscript is part of the Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy project, which was funded by the Innovative Medicines Initiative 2 Joint Undertaking. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
Mental health comorbidities are prevalent among youth with overweight or obesity, with the strongest risk factors being male sex, older age, and extreme obesity.
METHODOLOGY:
- Researchers compared clinical characteristics and outcomes among children, adolescents, and young adults with overweight or obesity with or without a comorbid mental disorder who participated in a lifestyle intervention program.
- Overall, data from 114,248 individuals (age, 6-30 years; 53% females) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry were evaluated.
- Individuals were excluded if they had bariatric surgery or used weight-modifying drugs (metformin, orlistat, or glucagon-like peptide-1 analogues).
- Body mass index (BMI) was calculated as a standard deviation score (SDS) from a German youth population reference and was used to define overweight (90th to < 97th percentile), obesity (97th percentile), and severe obesity (≥ 99.5th percentile), which at age 18 correspond to adult cutoffs for overweight and obesity (25 kg/m2 and 30 kg/m2, respectively).
- Regression analysis identified the factors associated with mental disorders in those with overweight or obesity.
TAKEAWAY:
- A comorbid mental disorder was reported in 3969 individuals, with attention-deficit disorder (ADHD, 42.5%), anxiety (31.3%), depression (24.3%), and eating disorders (12.9%) being the most common.
- The factors most strongly associated with mental health comorbidity were male sex (odds ratio [OR], 1.39; 95% CI, 1.27-1.52), older age (OR, 1.42; 95% CI, 1.25-1.62), and severe obesity (OR, 1.45; 95% CI, 1.30-1.63).
- Mean BMI-SDS was higher in individuals with depression and eating disorders and lower in individuals with ADHD (both P < .001) than in those without mental disorders.
- Individuals with and without mental disorders benefited from similar BMI changes from lifestyle intervention programs.
IN PRACTICE:
The authors wrote, “Healthcare professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders, and regular mental health screening should be considered.”
SOURCE:
This study, led by Angela Galler from the Charité – Universitätsmedizin Berlin, Germany, was published online on January 9, 2024, in the International Journal of Obesity.
LIMITATIONS:
The study’s findings are based on data from a group of children, adolescents, and young adults with overweight or obesity treated in specialized obesity centers and may not be generalizable to all youth with obesity. Moreover, the study could not establish any conclusions regarding the cause or effect between obesity and mental disorders. Individuals were not tested psychologically for mental disorders and might have been underreported.
DISCLOSURES:
The manuscript is part of the Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy project, which was funded by the Innovative Medicines Initiative 2 Joint Undertaking. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
How to Motivate Pain Patients to Try Nondrug Options
This transcript has been edited for clarity.
Neha Pathak, MD: Hello. Today, we’re talking to Dr. Daniel Clauw, a professor at the University of Michigan in Ann Arbor, who is running a major trial on treatments for chronic back pain. We’re talking today about managing back pain in the post-opioid world. Thank you so much, Dr. Clauw, for taking the time to be our resident pain consultant today. Managing chronic pain can lead to a large amount of burnout and helplessness in the clinic setting. That’s the reality with some of the modalities that patients are requesting; there is still confusion about what is optimal for a particular type of patient, this feeling that we’re not really helping people get better, and whenever patients come in, that’s always still their chief complaint.
How would you advise providers to think about that and to settle into their role as communicators about better strategies without the burnout?
Daniel Clauw, MD: The first thing is to broaden the number of other providers that you get involved in these individuals’ care as the evidence base for all of these nonpharmacologic therapies being effective in chronic pain increases and increases. As third-party payers begin to reimburse for more and more of these therapies, it’s really difficult to manage chronic pain patients if you’re trying to do it alone on an island.
If you can, identify the good physical therapists in your community that are going to really work with people to give them an exercise program that they can use at home; find a pain psychologist that can offer some cognitive-behavioral therapy (CBT) for insomnia and some CBT for pain; and in the subset of patients with trauma, give them the emotional awareness of the neural reprocessing therapy for that specific subset.
As you start to identify more and more of these nonpharmacologic therapies that you want your patients to try, each of those has a set of providers and they can be incredibly helpful so that you, as the primary care provider (PCP), don’t really feel overwhelmed that you’re it, that you’re the only one.
Many of these individuals have more time to spend, and they have more one-on-one in-person time than you do as a primary care physician in the current healthcare system. Many of those providers have become really good at doing amateur CBT, goal-setting, and some of the other things that you need to do when you manage chronic pain patients. Try to find that other group of people that you can send your patients to that are going to be offering some of these nonpharmacologic therapies, and they’ll really help you manage these individuals.
Dr. Pathak: I think a couple of things come up for me. One is that we have to maybe broaden thinking about pain management, not only as multimodal strategies but also as multidisciplinary strategies. To your point, I think that’s really important. I also worry and wonder about health equity concerns, because just as overburdened as many PCPs are, we’re seeing it’s very difficult to get into physical therapy or to get into a setting where you’d be able to receive CBT for your pain. Any thoughts on those types of considerations?
Dr. Clauw: That’s a huge problem. Our group and many other groups in the pain space are developing websites, smartphone apps, and things like that to try to get some of these things directly to individuals with pain, not only for the reasons that you stated but also so that persons with pain don’t have to become patients. Our healthcare systems often make pain worse rather than better.
There were some great articles in The Lancet about 5 years ago talking about low back pain and that in different countries, the healthcare systems, for different reasons, have a tendency to actually make low back pain worse because they do too much surgery, immobilize people, or things like that rather than just not make them better. I think we’ve overmedicalized chronic pain in some settings, and much of what we’re trying to lead people to are things that are parts of wellness programs. The NIH National Center for Complementary and Integrative Health director talks about whole person health often.
I think that these interdisciplinary, integrative approaches are what we have to be using for chronic pain patients. I tell pain patients that, among acupuncture, acupressure, mindfulness, five different forms of CBT, yoga, and tai chi, I don’t know which of those is going to work, but I know that about 1 in 3 individuals that tries each of those therapies gets a benefit. What I really should be doing most is incentivizing people and motivating people to keep trying some of those nonpharmacologic approaches that they haven’t yet tried, because when they find one that works for them, then they will integrate it into their day-to-day life.
The other trick I would use for primary care physicians or anyone managing chronic pain patients is, don’t try to incentivize a pain patient to go try a new nonpharmacologic therapy or start an exercise program because you want their pain score to go from a 6 to a 3. Incentivize them by asking them, what are two or three things that you’re not able to do now because you have chronic pain that you’d really like to be able to do?
You’d like to play nine holes of golf; you’d like to be able to hug your grandchild; or you’d like to be able to do something else. Use those functional goals that are patient0driven to motivate your patients to do these things, because that will work much better. Again, any of us are inherently more likely to take the time and the effort to do some of these nonpharmacologic therapies if it’s for a reason that internally motivates us.
Dr. Pathak: I think that’s great. I’m very privileged to work within the Veterans Affairs (VA) healthcare system. I think that there’s been a huge shift within VA healthcare to provide these ancillary services, whether it’s yoga, tai chi, or acupuncture, as an adjunct to the pain management strategy.
Also, what comes up for me, as you’re saying, is grounding the point that instead of relying on a pain score — which can be objective and different from patient to patient and even within a patient — we should choose a smart goal that is almost more objective when it’s functional. Your goal is to walk two blocks to the mailbox. Can we achieve that as part of your pain control strategy?
I so appreciate your taking the time to be our pain consultant today. I really appreciate our discussion, and I’d like to hand it over to you for any final thoughts.
Dr. Clauw: I’d add that when you’re seeing chronic pain patients, many of them are going to have comorbid sleep problems. They’re going to have comorbid problems with fatigue and memory problems, especially the central nervous system–driven forms of pain that we now call nociplastic pain. Look at those as therapeutic targets.
If you’re befuddled because you’ve tried many different things for pain in this individual you’ve been seeing for a while, focus on their sleep and focus on getting them more active. Don’t use the word exercise — because that scares chronic pain patients — but focus on getting them more active.
There are many different tactics and strategies that you can use to motivate the patients to try some of these new nonpharmacologic approaches as the evidence base continues to increase.
Dr. Pathak: Thank you so much, again, to Dr. Clauw for joining us and being our pain consultant, really helping us to think about managing back pain in the postopioid world.
Dr. Pathak is Chief Physician Editor, Health and Lifestyle Medicine, WebMD. She has disclosed no relevant financial relationships. Dr. Clauw is Director, Chronic Pain and Fatigue Research Center, Department of Anesthesia, University of Michigan, Ann Arbor. He disclosed ties with Tonix and Viatris.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Neha Pathak, MD: Hello. Today, we’re talking to Dr. Daniel Clauw, a professor at the University of Michigan in Ann Arbor, who is running a major trial on treatments for chronic back pain. We’re talking today about managing back pain in the post-opioid world. Thank you so much, Dr. Clauw, for taking the time to be our resident pain consultant today. Managing chronic pain can lead to a large amount of burnout and helplessness in the clinic setting. That’s the reality with some of the modalities that patients are requesting; there is still confusion about what is optimal for a particular type of patient, this feeling that we’re not really helping people get better, and whenever patients come in, that’s always still their chief complaint.
How would you advise providers to think about that and to settle into their role as communicators about better strategies without the burnout?
Daniel Clauw, MD: The first thing is to broaden the number of other providers that you get involved in these individuals’ care as the evidence base for all of these nonpharmacologic therapies being effective in chronic pain increases and increases. As third-party payers begin to reimburse for more and more of these therapies, it’s really difficult to manage chronic pain patients if you’re trying to do it alone on an island.
If you can, identify the good physical therapists in your community that are going to really work with people to give them an exercise program that they can use at home; find a pain psychologist that can offer some cognitive-behavioral therapy (CBT) for insomnia and some CBT for pain; and in the subset of patients with trauma, give them the emotional awareness of the neural reprocessing therapy for that specific subset.
As you start to identify more and more of these nonpharmacologic therapies that you want your patients to try, each of those has a set of providers and they can be incredibly helpful so that you, as the primary care provider (PCP), don’t really feel overwhelmed that you’re it, that you’re the only one.
Many of these individuals have more time to spend, and they have more one-on-one in-person time than you do as a primary care physician in the current healthcare system. Many of those providers have become really good at doing amateur CBT, goal-setting, and some of the other things that you need to do when you manage chronic pain patients. Try to find that other group of people that you can send your patients to that are going to be offering some of these nonpharmacologic therapies, and they’ll really help you manage these individuals.
Dr. Pathak: I think a couple of things come up for me. One is that we have to maybe broaden thinking about pain management, not only as multimodal strategies but also as multidisciplinary strategies. To your point, I think that’s really important. I also worry and wonder about health equity concerns, because just as overburdened as many PCPs are, we’re seeing it’s very difficult to get into physical therapy or to get into a setting where you’d be able to receive CBT for your pain. Any thoughts on those types of considerations?
Dr. Clauw: That’s a huge problem. Our group and many other groups in the pain space are developing websites, smartphone apps, and things like that to try to get some of these things directly to individuals with pain, not only for the reasons that you stated but also so that persons with pain don’t have to become patients. Our healthcare systems often make pain worse rather than better.
There were some great articles in The Lancet about 5 years ago talking about low back pain and that in different countries, the healthcare systems, for different reasons, have a tendency to actually make low back pain worse because they do too much surgery, immobilize people, or things like that rather than just not make them better. I think we’ve overmedicalized chronic pain in some settings, and much of what we’re trying to lead people to are things that are parts of wellness programs. The NIH National Center for Complementary and Integrative Health director talks about whole person health often.
I think that these interdisciplinary, integrative approaches are what we have to be using for chronic pain patients. I tell pain patients that, among acupuncture, acupressure, mindfulness, five different forms of CBT, yoga, and tai chi, I don’t know which of those is going to work, but I know that about 1 in 3 individuals that tries each of those therapies gets a benefit. What I really should be doing most is incentivizing people and motivating people to keep trying some of those nonpharmacologic approaches that they haven’t yet tried, because when they find one that works for them, then they will integrate it into their day-to-day life.
The other trick I would use for primary care physicians or anyone managing chronic pain patients is, don’t try to incentivize a pain patient to go try a new nonpharmacologic therapy or start an exercise program because you want their pain score to go from a 6 to a 3. Incentivize them by asking them, what are two or three things that you’re not able to do now because you have chronic pain that you’d really like to be able to do?
You’d like to play nine holes of golf; you’d like to be able to hug your grandchild; or you’d like to be able to do something else. Use those functional goals that are patient0driven to motivate your patients to do these things, because that will work much better. Again, any of us are inherently more likely to take the time and the effort to do some of these nonpharmacologic therapies if it’s for a reason that internally motivates us.
Dr. Pathak: I think that’s great. I’m very privileged to work within the Veterans Affairs (VA) healthcare system. I think that there’s been a huge shift within VA healthcare to provide these ancillary services, whether it’s yoga, tai chi, or acupuncture, as an adjunct to the pain management strategy.
Also, what comes up for me, as you’re saying, is grounding the point that instead of relying on a pain score — which can be objective and different from patient to patient and even within a patient — we should choose a smart goal that is almost more objective when it’s functional. Your goal is to walk two blocks to the mailbox. Can we achieve that as part of your pain control strategy?
I so appreciate your taking the time to be our pain consultant today. I really appreciate our discussion, and I’d like to hand it over to you for any final thoughts.
Dr. Clauw: I’d add that when you’re seeing chronic pain patients, many of them are going to have comorbid sleep problems. They’re going to have comorbid problems with fatigue and memory problems, especially the central nervous system–driven forms of pain that we now call nociplastic pain. Look at those as therapeutic targets.
If you’re befuddled because you’ve tried many different things for pain in this individual you’ve been seeing for a while, focus on their sleep and focus on getting them more active. Don’t use the word exercise — because that scares chronic pain patients — but focus on getting them more active.
There are many different tactics and strategies that you can use to motivate the patients to try some of these new nonpharmacologic approaches as the evidence base continues to increase.
Dr. Pathak: Thank you so much, again, to Dr. Clauw for joining us and being our pain consultant, really helping us to think about managing back pain in the postopioid world.
Dr. Pathak is Chief Physician Editor, Health and Lifestyle Medicine, WebMD. She has disclosed no relevant financial relationships. Dr. Clauw is Director, Chronic Pain and Fatigue Research Center, Department of Anesthesia, University of Michigan, Ann Arbor. He disclosed ties with Tonix and Viatris.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Neha Pathak, MD: Hello. Today, we’re talking to Dr. Daniel Clauw, a professor at the University of Michigan in Ann Arbor, who is running a major trial on treatments for chronic back pain. We’re talking today about managing back pain in the post-opioid world. Thank you so much, Dr. Clauw, for taking the time to be our resident pain consultant today. Managing chronic pain can lead to a large amount of burnout and helplessness in the clinic setting. That’s the reality with some of the modalities that patients are requesting; there is still confusion about what is optimal for a particular type of patient, this feeling that we’re not really helping people get better, and whenever patients come in, that’s always still their chief complaint.
How would you advise providers to think about that and to settle into their role as communicators about better strategies without the burnout?
Daniel Clauw, MD: The first thing is to broaden the number of other providers that you get involved in these individuals’ care as the evidence base for all of these nonpharmacologic therapies being effective in chronic pain increases and increases. As third-party payers begin to reimburse for more and more of these therapies, it’s really difficult to manage chronic pain patients if you’re trying to do it alone on an island.
If you can, identify the good physical therapists in your community that are going to really work with people to give them an exercise program that they can use at home; find a pain psychologist that can offer some cognitive-behavioral therapy (CBT) for insomnia and some CBT for pain; and in the subset of patients with trauma, give them the emotional awareness of the neural reprocessing therapy for that specific subset.
As you start to identify more and more of these nonpharmacologic therapies that you want your patients to try, each of those has a set of providers and they can be incredibly helpful so that you, as the primary care provider (PCP), don’t really feel overwhelmed that you’re it, that you’re the only one.
Many of these individuals have more time to spend, and they have more one-on-one in-person time than you do as a primary care physician in the current healthcare system. Many of those providers have become really good at doing amateur CBT, goal-setting, and some of the other things that you need to do when you manage chronic pain patients. Try to find that other group of people that you can send your patients to that are going to be offering some of these nonpharmacologic therapies, and they’ll really help you manage these individuals.
Dr. Pathak: I think a couple of things come up for me. One is that we have to maybe broaden thinking about pain management, not only as multimodal strategies but also as multidisciplinary strategies. To your point, I think that’s really important. I also worry and wonder about health equity concerns, because just as overburdened as many PCPs are, we’re seeing it’s very difficult to get into physical therapy or to get into a setting where you’d be able to receive CBT for your pain. Any thoughts on those types of considerations?
Dr. Clauw: That’s a huge problem. Our group and many other groups in the pain space are developing websites, smartphone apps, and things like that to try to get some of these things directly to individuals with pain, not only for the reasons that you stated but also so that persons with pain don’t have to become patients. Our healthcare systems often make pain worse rather than better.
There were some great articles in The Lancet about 5 years ago talking about low back pain and that in different countries, the healthcare systems, for different reasons, have a tendency to actually make low back pain worse because they do too much surgery, immobilize people, or things like that rather than just not make them better. I think we’ve overmedicalized chronic pain in some settings, and much of what we’re trying to lead people to are things that are parts of wellness programs. The NIH National Center for Complementary and Integrative Health director talks about whole person health often.
I think that these interdisciplinary, integrative approaches are what we have to be using for chronic pain patients. I tell pain patients that, among acupuncture, acupressure, mindfulness, five different forms of CBT, yoga, and tai chi, I don’t know which of those is going to work, but I know that about 1 in 3 individuals that tries each of those therapies gets a benefit. What I really should be doing most is incentivizing people and motivating people to keep trying some of those nonpharmacologic approaches that they haven’t yet tried, because when they find one that works for them, then they will integrate it into their day-to-day life.
The other trick I would use for primary care physicians or anyone managing chronic pain patients is, don’t try to incentivize a pain patient to go try a new nonpharmacologic therapy or start an exercise program because you want their pain score to go from a 6 to a 3. Incentivize them by asking them, what are two or three things that you’re not able to do now because you have chronic pain that you’d really like to be able to do?
You’d like to play nine holes of golf; you’d like to be able to hug your grandchild; or you’d like to be able to do something else. Use those functional goals that are patient0driven to motivate your patients to do these things, because that will work much better. Again, any of us are inherently more likely to take the time and the effort to do some of these nonpharmacologic therapies if it’s for a reason that internally motivates us.
Dr. Pathak: I think that’s great. I’m very privileged to work within the Veterans Affairs (VA) healthcare system. I think that there’s been a huge shift within VA healthcare to provide these ancillary services, whether it’s yoga, tai chi, or acupuncture, as an adjunct to the pain management strategy.
Also, what comes up for me, as you’re saying, is grounding the point that instead of relying on a pain score — which can be objective and different from patient to patient and even within a patient — we should choose a smart goal that is almost more objective when it’s functional. Your goal is to walk two blocks to the mailbox. Can we achieve that as part of your pain control strategy?
I so appreciate your taking the time to be our pain consultant today. I really appreciate our discussion, and I’d like to hand it over to you for any final thoughts.
Dr. Clauw: I’d add that when you’re seeing chronic pain patients, many of them are going to have comorbid sleep problems. They’re going to have comorbid problems with fatigue and memory problems, especially the central nervous system–driven forms of pain that we now call nociplastic pain. Look at those as therapeutic targets.
If you’re befuddled because you’ve tried many different things for pain in this individual you’ve been seeing for a while, focus on their sleep and focus on getting them more active. Don’t use the word exercise — because that scares chronic pain patients — but focus on getting them more active.
There are many different tactics and strategies that you can use to motivate the patients to try some of these new nonpharmacologic approaches as the evidence base continues to increase.
Dr. Pathak: Thank you so much, again, to Dr. Clauw for joining us and being our pain consultant, really helping us to think about managing back pain in the postopioid world.
Dr. Pathak is Chief Physician Editor, Health and Lifestyle Medicine, WebMD. She has disclosed no relevant financial relationships. Dr. Clauw is Director, Chronic Pain and Fatigue Research Center, Department of Anesthesia, University of Michigan, Ann Arbor. He disclosed ties with Tonix and Viatris.
A version of this article appeared on Medscape.com.
The Amygdala Know
In a recent issue of Pediatric News, the Child Psychiatry Consult column featured an excellent discussion by Dr. David Rettew of some new research into a possible association between excessive crying in infancy and emotional problems later in childhood. This longitudinal study of almost 5,000 children included an assessment at 3 months and an MRI at age 10, which found that the infants who were excessive criers also had smaller amygdala. While the orders of magnitude of the researchers’ observations is small, it is interesting that the mothers of excessive criers were slightly more likely to experience mental health problems.
Dr. Rettew wisely cautions us to take note of this study’s findings but avoid overreacting. If indeed excessive crying in infancy is a marker for future problems, at the moment we may want to increase our efforts in helping parents improve their parenting skills using a nonjudgmental approach.
Using Dr. Rettew’s sage advice as a leaping off point, I will add the reminder that we must continue to meet head on the venerable myth that “colic” is a gastrointestinal problem. We must promise to never code out a parental complaint as “colic.” If we want to label it “excessive crying of infancy,” that’s one thing, but using “colic” only serves to perpetuate the myth and all the old, and sometimes dangerous, remedies that continue to cling to it.
Whether we use the term “colicky behavior” or call it “excessive crying,” we must remember these are merely descriptive terms. We have not made a diagnosis and are obligated to keep our minds open to serious and life-threatening conditions that make infants cry excessively — aberrant coronary arteries and urinary obstructions to name just two.
I can’t leave the phenomenon of colic without adding a nickel to the two cents I have already gifted you. When I was in medical school, I am sure I was told something about the amygdala. But, I suspect that I was only expected to recall where it lived. In the 50+ years since that brief encounter, other folks have learned much more. Prompted by this study, I searched what is known about small amygdala. Turns out that sleep deprivation has been associated with smaller amygdala, as has episodic migraine headaches, both in adults.
Regular readers of Letters from Maine can already smell where this is going. For decades I have believed that both excessive crying in infancy and episodic migraine in children are associated with, and my bias would say “caused” by, sleep deprivation. We learned from this study that mothers of excessively crying infants are more likely to have mental health problems. And, I will add that at least one study has shown that mothers and fathers of excessively crying infants are more likely to suffer from migraines.
Whether you join me in my biased interpretation isn’t important. What this study tells us is that there is likely to be something going on in infancy that may be a marker for future mental health problems. Were these children born with small or vulnerable amygdala? Did poor sleep hygiene contribute to the problem by interfering with the growth of their amygdala? I can envision studies that could provide some clarity. I’m not sure many parents would agree to have their happy and well-slept 3-month-olds slid into an MRI tube to serve as controls. But, I wouldn’t be surprised that we could find a sizable number of sleep deprived and frazzled parents of colicky infants who would agree if we told them it might help find an answer.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
In a recent issue of Pediatric News, the Child Psychiatry Consult column featured an excellent discussion by Dr. David Rettew of some new research into a possible association between excessive crying in infancy and emotional problems later in childhood. This longitudinal study of almost 5,000 children included an assessment at 3 months and an MRI at age 10, which found that the infants who were excessive criers also had smaller amygdala. While the orders of magnitude of the researchers’ observations is small, it is interesting that the mothers of excessive criers were slightly more likely to experience mental health problems.
Dr. Rettew wisely cautions us to take note of this study’s findings but avoid overreacting. If indeed excessive crying in infancy is a marker for future problems, at the moment we may want to increase our efforts in helping parents improve their parenting skills using a nonjudgmental approach.
Using Dr. Rettew’s sage advice as a leaping off point, I will add the reminder that we must continue to meet head on the venerable myth that “colic” is a gastrointestinal problem. We must promise to never code out a parental complaint as “colic.” If we want to label it “excessive crying of infancy,” that’s one thing, but using “colic” only serves to perpetuate the myth and all the old, and sometimes dangerous, remedies that continue to cling to it.
Whether we use the term “colicky behavior” or call it “excessive crying,” we must remember these are merely descriptive terms. We have not made a diagnosis and are obligated to keep our minds open to serious and life-threatening conditions that make infants cry excessively — aberrant coronary arteries and urinary obstructions to name just two.
I can’t leave the phenomenon of colic without adding a nickel to the two cents I have already gifted you. When I was in medical school, I am sure I was told something about the amygdala. But, I suspect that I was only expected to recall where it lived. In the 50+ years since that brief encounter, other folks have learned much more. Prompted by this study, I searched what is known about small amygdala. Turns out that sleep deprivation has been associated with smaller amygdala, as has episodic migraine headaches, both in adults.
Regular readers of Letters from Maine can already smell where this is going. For decades I have believed that both excessive crying in infancy and episodic migraine in children are associated with, and my bias would say “caused” by, sleep deprivation. We learned from this study that mothers of excessively crying infants are more likely to have mental health problems. And, I will add that at least one study has shown that mothers and fathers of excessively crying infants are more likely to suffer from migraines.
Whether you join me in my biased interpretation isn’t important. What this study tells us is that there is likely to be something going on in infancy that may be a marker for future mental health problems. Were these children born with small or vulnerable amygdala? Did poor sleep hygiene contribute to the problem by interfering with the growth of their amygdala? I can envision studies that could provide some clarity. I’m not sure many parents would agree to have their happy and well-slept 3-month-olds slid into an MRI tube to serve as controls. But, I wouldn’t be surprised that we could find a sizable number of sleep deprived and frazzled parents of colicky infants who would agree if we told them it might help find an answer.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
In a recent issue of Pediatric News, the Child Psychiatry Consult column featured an excellent discussion by Dr. David Rettew of some new research into a possible association between excessive crying in infancy and emotional problems later in childhood. This longitudinal study of almost 5,000 children included an assessment at 3 months and an MRI at age 10, which found that the infants who were excessive criers also had smaller amygdala. While the orders of magnitude of the researchers’ observations is small, it is interesting that the mothers of excessive criers were slightly more likely to experience mental health problems.
Dr. Rettew wisely cautions us to take note of this study’s findings but avoid overreacting. If indeed excessive crying in infancy is a marker for future problems, at the moment we may want to increase our efforts in helping parents improve their parenting skills using a nonjudgmental approach.
Using Dr. Rettew’s sage advice as a leaping off point, I will add the reminder that we must continue to meet head on the venerable myth that “colic” is a gastrointestinal problem. We must promise to never code out a parental complaint as “colic.” If we want to label it “excessive crying of infancy,” that’s one thing, but using “colic” only serves to perpetuate the myth and all the old, and sometimes dangerous, remedies that continue to cling to it.
Whether we use the term “colicky behavior” or call it “excessive crying,” we must remember these are merely descriptive terms. We have not made a diagnosis and are obligated to keep our minds open to serious and life-threatening conditions that make infants cry excessively — aberrant coronary arteries and urinary obstructions to name just two.
I can’t leave the phenomenon of colic without adding a nickel to the two cents I have already gifted you. When I was in medical school, I am sure I was told something about the amygdala. But, I suspect that I was only expected to recall where it lived. In the 50+ years since that brief encounter, other folks have learned much more. Prompted by this study, I searched what is known about small amygdala. Turns out that sleep deprivation has been associated with smaller amygdala, as has episodic migraine headaches, both in adults.
Regular readers of Letters from Maine can already smell where this is going. For decades I have believed that both excessive crying in infancy and episodic migraine in children are associated with, and my bias would say “caused” by, sleep deprivation. We learned from this study that mothers of excessively crying infants are more likely to have mental health problems. And, I will add that at least one study has shown that mothers and fathers of excessively crying infants are more likely to suffer from migraines.
Whether you join me in my biased interpretation isn’t important. What this study tells us is that there is likely to be something going on in infancy that may be a marker for future mental health problems. Were these children born with small or vulnerable amygdala? Did poor sleep hygiene contribute to the problem by interfering with the growth of their amygdala? I can envision studies that could provide some clarity. I’m not sure many parents would agree to have their happy and well-slept 3-month-olds slid into an MRI tube to serve as controls. But, I wouldn’t be surprised that we could find a sizable number of sleep deprived and frazzled parents of colicky infants who would agree if we told them it might help find an answer.
Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at [email protected].
Restricted Abortion Access Tied to Mental Health Harm
, which revoked a woman’s constitutional right to an abortion, new research shows.
This could be due to a variety of factors, investigators led by Benjamin Thornburg, Johns Hopkins Bloomberg School of Public Health, Baltimore, noted. These include fear about the imminent risk of being denied an abortion, uncertainty around future limitations on abortion and other related rights such as contraception, worry over the ability to receive lifesaving medical care during pregnancy, and a general sense of violation and powerlessness related to loss of the right to reproductive autonomy.
The study was published online on January 23, 2024, in JAMA.
Mental Health Harm
In June 2022, the US Supreme Court overturned Roe vs Wade, removing federal protections for abortion rights. Thirteen states had “trigger laws” that immediately banned or severely restricted abortion — raising concerns this could negatively affect mental health.
The researchers used data from the Household Pulse Survey to estimate changes in anxiety and depression symptoms after vs before the Dobbs decision in nearly 160,000 adults living in 13 states with trigger laws compared with roughly 559,000 adults living in 37 states without trigger laws.
The mean age of respondents was 48 years, and 51% were women. Anxiety and depression symptoms were measured via the Patient Health Questionnaire-4 (PHQ-4).
In trigger states, the mean PHQ-4 score at baseline (before Dobbs) was 3.51 (out of 12) and increased to 3.81 after the Dobbs decision. In nontrigger states, the mean PHQ-4 score at baseline was 3.31 and increased to 3.49 after Dobbs.
Living in a trigger state was associated with a small but statistically significant worsening (0.11-point; P < .001) in anxiety/depression symptoms following the Dobbs decision vs living in a nontrigger state, the investigators report.
Women aged 18-45 years faced greater worsening of anxiety and depression symptoms following Dobbs in trigger vs nontrigger states, whereas men of a similar age experienced minimal or negligible changes.
Implications for Care
In an accompanying editorial, Julie Steinberg, PhD, with University of Maryland in College Park, notes the study results provide “emerging evidence that at an individual level taking away reproductive autonomy (by not having legal access to an abortion) may increase symptoms of anxiety and depression in all people and particularly females of reproductive age.”
These results add to findings from two other studies that examined abortion restrictions and mental health outcomes. Both found that limiting access to abortion was associated with more mental health symptoms among females of reproductive age than among others,” Dr. Steinberg pointed out.
“Together these findings highlight the need for clinicians who practice in states where abortion is banned to be aware that female patients of reproductive age may be experiencing significantly more distress than before the Dobbs decision,” Dr. Steinberg added.
The study received no specific funding. The authors had no relevant conflicts of interest. Dr. Steinberg reported serving as a paid expert scientist on abortion and mental health in seven cases challenging abortion policies.
A version of this article appeared on Medscape.com.
, which revoked a woman’s constitutional right to an abortion, new research shows.
This could be due to a variety of factors, investigators led by Benjamin Thornburg, Johns Hopkins Bloomberg School of Public Health, Baltimore, noted. These include fear about the imminent risk of being denied an abortion, uncertainty around future limitations on abortion and other related rights such as contraception, worry over the ability to receive lifesaving medical care during pregnancy, and a general sense of violation and powerlessness related to loss of the right to reproductive autonomy.
The study was published online on January 23, 2024, in JAMA.
Mental Health Harm
In June 2022, the US Supreme Court overturned Roe vs Wade, removing federal protections for abortion rights. Thirteen states had “trigger laws” that immediately banned or severely restricted abortion — raising concerns this could negatively affect mental health.
The researchers used data from the Household Pulse Survey to estimate changes in anxiety and depression symptoms after vs before the Dobbs decision in nearly 160,000 adults living in 13 states with trigger laws compared with roughly 559,000 adults living in 37 states without trigger laws.
The mean age of respondents was 48 years, and 51% were women. Anxiety and depression symptoms were measured via the Patient Health Questionnaire-4 (PHQ-4).
In trigger states, the mean PHQ-4 score at baseline (before Dobbs) was 3.51 (out of 12) and increased to 3.81 after the Dobbs decision. In nontrigger states, the mean PHQ-4 score at baseline was 3.31 and increased to 3.49 after Dobbs.
Living in a trigger state was associated with a small but statistically significant worsening (0.11-point; P < .001) in anxiety/depression symptoms following the Dobbs decision vs living in a nontrigger state, the investigators report.
Women aged 18-45 years faced greater worsening of anxiety and depression symptoms following Dobbs in trigger vs nontrigger states, whereas men of a similar age experienced minimal or negligible changes.
Implications for Care
In an accompanying editorial, Julie Steinberg, PhD, with University of Maryland in College Park, notes the study results provide “emerging evidence that at an individual level taking away reproductive autonomy (by not having legal access to an abortion) may increase symptoms of anxiety and depression in all people and particularly females of reproductive age.”
These results add to findings from two other studies that examined abortion restrictions and mental health outcomes. Both found that limiting access to abortion was associated with more mental health symptoms among females of reproductive age than among others,” Dr. Steinberg pointed out.
“Together these findings highlight the need for clinicians who practice in states where abortion is banned to be aware that female patients of reproductive age may be experiencing significantly more distress than before the Dobbs decision,” Dr. Steinberg added.
The study received no specific funding. The authors had no relevant conflicts of interest. Dr. Steinberg reported serving as a paid expert scientist on abortion and mental health in seven cases challenging abortion policies.
A version of this article appeared on Medscape.com.
, which revoked a woman’s constitutional right to an abortion, new research shows.
This could be due to a variety of factors, investigators led by Benjamin Thornburg, Johns Hopkins Bloomberg School of Public Health, Baltimore, noted. These include fear about the imminent risk of being denied an abortion, uncertainty around future limitations on abortion and other related rights such as contraception, worry over the ability to receive lifesaving medical care during pregnancy, and a general sense of violation and powerlessness related to loss of the right to reproductive autonomy.
The study was published online on January 23, 2024, in JAMA.
Mental Health Harm
In June 2022, the US Supreme Court overturned Roe vs Wade, removing federal protections for abortion rights. Thirteen states had “trigger laws” that immediately banned or severely restricted abortion — raising concerns this could negatively affect mental health.
The researchers used data from the Household Pulse Survey to estimate changes in anxiety and depression symptoms after vs before the Dobbs decision in nearly 160,000 adults living in 13 states with trigger laws compared with roughly 559,000 adults living in 37 states without trigger laws.
The mean age of respondents was 48 years, and 51% were women. Anxiety and depression symptoms were measured via the Patient Health Questionnaire-4 (PHQ-4).
In trigger states, the mean PHQ-4 score at baseline (before Dobbs) was 3.51 (out of 12) and increased to 3.81 after the Dobbs decision. In nontrigger states, the mean PHQ-4 score at baseline was 3.31 and increased to 3.49 after Dobbs.
Living in a trigger state was associated with a small but statistically significant worsening (0.11-point; P < .001) in anxiety/depression symptoms following the Dobbs decision vs living in a nontrigger state, the investigators report.
Women aged 18-45 years faced greater worsening of anxiety and depression symptoms following Dobbs in trigger vs nontrigger states, whereas men of a similar age experienced minimal or negligible changes.
Implications for Care
In an accompanying editorial, Julie Steinberg, PhD, with University of Maryland in College Park, notes the study results provide “emerging evidence that at an individual level taking away reproductive autonomy (by not having legal access to an abortion) may increase symptoms of anxiety and depression in all people and particularly females of reproductive age.”
These results add to findings from two other studies that examined abortion restrictions and mental health outcomes. Both found that limiting access to abortion was associated with more mental health symptoms among females of reproductive age than among others,” Dr. Steinberg pointed out.
“Together these findings highlight the need for clinicians who practice in states where abortion is banned to be aware that female patients of reproductive age may be experiencing significantly more distress than before the Dobbs decision,” Dr. Steinberg added.
The study received no specific funding. The authors had no relevant conflicts of interest. Dr. Steinberg reported serving as a paid expert scientist on abortion and mental health in seven cases challenging abortion policies.
A version of this article appeared on Medscape.com.
FROM JAMA
A New Treatment Target for PTSD?
Adults with posttraumatic stress disorder (PTSD) have smaller cerebellums than unaffected adults, suggesting that this part of the brain may be a potential therapeutic target.
According to recent research on more than 4000 adults, cerebellum volume was significantly smaller (by about 2%) in those with PTSD than in trauma-exposed and trauma-naive controls without PTSD.
“The differences were largely within the posterior lobe, where a lot of the more cognitive functions attributed to the cerebellum seem to localize, as well as the vermis, which is linked to a lot of emotional processing functions,” lead author Ashley Huggins, PhD, said in a news release.
“If we know what areas are implicated, then we can start to focus interventions like brain stimulation on the cerebellum and potentially improve treatment outcomes,” said Dr. Huggins, who worked on the study while a postdoctoral researcher in the lab of Rajendra A. Morey, MD, at Duke University, Durham, North Carolina, and is now at the University of Arizona, Tucson.
While the cerebellum is known for its role in coordinating movement and balance, it also plays a key role in emotions and memory, which are affected by PTSD.
Smaller cerebellar volume has been observed in some adult and pediatric populations with PTSD.
However, those studies have been limited by either small sample sizes, the failure to consider key neuroanatomical subdivisions of the cerebellum, or a focus on certain populations such as veterans of sexual assault victims with PTSD.
To overcome these limitations, the researchers conducted a mega-analysis of total and subregional cerebellar volumes in a large, multicohort dataset from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Psychiatric Genomics Consortium PTSD workgroup that was published online on January 10, 2024, in Molecular Psychiatry.
They employed a novel, standardized ENIGMA cerebellum parcellation protocol to quantify cerebellar lobule volumes using structural MRI data from 1642 adults with PTSD and 2573 healthy controls without PTSD (88% trauma-exposed and 12% trauma-naive).
After adjustment for age, gender, and total intracranial volume, PTSD was associated with significant gray and white matter reductions of the cerebellum.
People with PTSD demonstrated smaller total cerebellum volume as well as reduced volume in subregions primarily within the posterior cerebellum, vermis, and flocculonodular cerebellum than controls.
In general, PTSD severity was more robustly associated with cerebellar volume differences than PTSD diagnosis.
Focusing purely on a “yes-or-no” categorical diagnosis didn’t always provide the clearest picture. “When we looked at PTSD severity, people who had more severe forms of the disorder had an even smaller cerebellar volume,” Dr. Huggins explained in the news release.
Novel Treatment Target
These findings add to “an emerging literature that underscores the relevance of cerebellar structure in the pathophysiology of PTSD,” the researchers noted.
They caution that despite the significant findings suggesting associations between PTSD and smaller cerebellar volumes, effect sizes were small. “As such, it is unlikely that structural cerebellar volumes alone will provide a clinically useful biomarker (eg, for individual-level prediction).”
Nonetheless, the study highlights the cerebellum as a “novel treatment target that may be leveraged to improve treatment outcomes for PTSD,” they wrote.
They noted that prior work has shown that the cerebellum is sensitive to external modulation. For example, noninvasive brain stimulation of the cerebellum has been shown to modulate cognitive, emotional, and social processes commonly disrupted in PTSD.
Commenting on this research, Cyrus A. Raji, MD, PhD, associate professor of radiology and neurology at Washington University in St. Louis, noted that this “large neuroimaging study links PTSD to cerebellar volume loss.”
“However, PTSD and traumatic brain injury frequently co-occur, and PTSD also frequently arises after TBI. Additionally, TBI is strongly linked to cerebellar volume loss,” Dr. Raji pointed out.
“Future studies need to better delineate volume loss from these conditions, especially when they are comorbid, though the expectation is these effects would be additive with TBI being the initial and most severe driving force,” Dr. Raji added.
The research had no commercial funding. Author disclosures are listed with the original article. Dr. Raji is a consultant for Brainreader, Apollo Health, Pacific Neuroscience Foundation, and Neurevolution Medicine LLC.
A version of this article appears on Medscape.com.
Adults with posttraumatic stress disorder (PTSD) have smaller cerebellums than unaffected adults, suggesting that this part of the brain may be a potential therapeutic target.
According to recent research on more than 4000 adults, cerebellum volume was significantly smaller (by about 2%) in those with PTSD than in trauma-exposed and trauma-naive controls without PTSD.
“The differences were largely within the posterior lobe, where a lot of the more cognitive functions attributed to the cerebellum seem to localize, as well as the vermis, which is linked to a lot of emotional processing functions,” lead author Ashley Huggins, PhD, said in a news release.
“If we know what areas are implicated, then we can start to focus interventions like brain stimulation on the cerebellum and potentially improve treatment outcomes,” said Dr. Huggins, who worked on the study while a postdoctoral researcher in the lab of Rajendra A. Morey, MD, at Duke University, Durham, North Carolina, and is now at the University of Arizona, Tucson.
While the cerebellum is known for its role in coordinating movement and balance, it also plays a key role in emotions and memory, which are affected by PTSD.
Smaller cerebellar volume has been observed in some adult and pediatric populations with PTSD.
However, those studies have been limited by either small sample sizes, the failure to consider key neuroanatomical subdivisions of the cerebellum, or a focus on certain populations such as veterans of sexual assault victims with PTSD.
To overcome these limitations, the researchers conducted a mega-analysis of total and subregional cerebellar volumes in a large, multicohort dataset from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Psychiatric Genomics Consortium PTSD workgroup that was published online on January 10, 2024, in Molecular Psychiatry.
They employed a novel, standardized ENIGMA cerebellum parcellation protocol to quantify cerebellar lobule volumes using structural MRI data from 1642 adults with PTSD and 2573 healthy controls without PTSD (88% trauma-exposed and 12% trauma-naive).
After adjustment for age, gender, and total intracranial volume, PTSD was associated with significant gray and white matter reductions of the cerebellum.
People with PTSD demonstrated smaller total cerebellum volume as well as reduced volume in subregions primarily within the posterior cerebellum, vermis, and flocculonodular cerebellum than controls.
In general, PTSD severity was more robustly associated with cerebellar volume differences than PTSD diagnosis.
Focusing purely on a “yes-or-no” categorical diagnosis didn’t always provide the clearest picture. “When we looked at PTSD severity, people who had more severe forms of the disorder had an even smaller cerebellar volume,” Dr. Huggins explained in the news release.
Novel Treatment Target
These findings add to “an emerging literature that underscores the relevance of cerebellar structure in the pathophysiology of PTSD,” the researchers noted.
They caution that despite the significant findings suggesting associations between PTSD and smaller cerebellar volumes, effect sizes were small. “As such, it is unlikely that structural cerebellar volumes alone will provide a clinically useful biomarker (eg, for individual-level prediction).”
Nonetheless, the study highlights the cerebellum as a “novel treatment target that may be leveraged to improve treatment outcomes for PTSD,” they wrote.
They noted that prior work has shown that the cerebellum is sensitive to external modulation. For example, noninvasive brain stimulation of the cerebellum has been shown to modulate cognitive, emotional, and social processes commonly disrupted in PTSD.
Commenting on this research, Cyrus A. Raji, MD, PhD, associate professor of radiology and neurology at Washington University in St. Louis, noted that this “large neuroimaging study links PTSD to cerebellar volume loss.”
“However, PTSD and traumatic brain injury frequently co-occur, and PTSD also frequently arises after TBI. Additionally, TBI is strongly linked to cerebellar volume loss,” Dr. Raji pointed out.
“Future studies need to better delineate volume loss from these conditions, especially when they are comorbid, though the expectation is these effects would be additive with TBI being the initial and most severe driving force,” Dr. Raji added.
The research had no commercial funding. Author disclosures are listed with the original article. Dr. Raji is a consultant for Brainreader, Apollo Health, Pacific Neuroscience Foundation, and Neurevolution Medicine LLC.
A version of this article appears on Medscape.com.
Adults with posttraumatic stress disorder (PTSD) have smaller cerebellums than unaffected adults, suggesting that this part of the brain may be a potential therapeutic target.
According to recent research on more than 4000 adults, cerebellum volume was significantly smaller (by about 2%) in those with PTSD than in trauma-exposed and trauma-naive controls without PTSD.
“The differences were largely within the posterior lobe, where a lot of the more cognitive functions attributed to the cerebellum seem to localize, as well as the vermis, which is linked to a lot of emotional processing functions,” lead author Ashley Huggins, PhD, said in a news release.
“If we know what areas are implicated, then we can start to focus interventions like brain stimulation on the cerebellum and potentially improve treatment outcomes,” said Dr. Huggins, who worked on the study while a postdoctoral researcher in the lab of Rajendra A. Morey, MD, at Duke University, Durham, North Carolina, and is now at the University of Arizona, Tucson.
While the cerebellum is known for its role in coordinating movement and balance, it also plays a key role in emotions and memory, which are affected by PTSD.
Smaller cerebellar volume has been observed in some adult and pediatric populations with PTSD.
However, those studies have been limited by either small sample sizes, the failure to consider key neuroanatomical subdivisions of the cerebellum, or a focus on certain populations such as veterans of sexual assault victims with PTSD.
To overcome these limitations, the researchers conducted a mega-analysis of total and subregional cerebellar volumes in a large, multicohort dataset from the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Psychiatric Genomics Consortium PTSD workgroup that was published online on January 10, 2024, in Molecular Psychiatry.
They employed a novel, standardized ENIGMA cerebellum parcellation protocol to quantify cerebellar lobule volumes using structural MRI data from 1642 adults with PTSD and 2573 healthy controls without PTSD (88% trauma-exposed and 12% trauma-naive).
After adjustment for age, gender, and total intracranial volume, PTSD was associated with significant gray and white matter reductions of the cerebellum.
People with PTSD demonstrated smaller total cerebellum volume as well as reduced volume in subregions primarily within the posterior cerebellum, vermis, and flocculonodular cerebellum than controls.
In general, PTSD severity was more robustly associated with cerebellar volume differences than PTSD diagnosis.
Focusing purely on a “yes-or-no” categorical diagnosis didn’t always provide the clearest picture. “When we looked at PTSD severity, people who had more severe forms of the disorder had an even smaller cerebellar volume,” Dr. Huggins explained in the news release.
Novel Treatment Target
These findings add to “an emerging literature that underscores the relevance of cerebellar structure in the pathophysiology of PTSD,” the researchers noted.
They caution that despite the significant findings suggesting associations between PTSD and smaller cerebellar volumes, effect sizes were small. “As such, it is unlikely that structural cerebellar volumes alone will provide a clinically useful biomarker (eg, for individual-level prediction).”
Nonetheless, the study highlights the cerebellum as a “novel treatment target that may be leveraged to improve treatment outcomes for PTSD,” they wrote.
They noted that prior work has shown that the cerebellum is sensitive to external modulation. For example, noninvasive brain stimulation of the cerebellum has been shown to modulate cognitive, emotional, and social processes commonly disrupted in PTSD.
Commenting on this research, Cyrus A. Raji, MD, PhD, associate professor of radiology and neurology at Washington University in St. Louis, noted that this “large neuroimaging study links PTSD to cerebellar volume loss.”
“However, PTSD and traumatic brain injury frequently co-occur, and PTSD also frequently arises after TBI. Additionally, TBI is strongly linked to cerebellar volume loss,” Dr. Raji pointed out.
“Future studies need to better delineate volume loss from these conditions, especially when they are comorbid, though the expectation is these effects would be additive with TBI being the initial and most severe driving force,” Dr. Raji added.
The research had no commercial funding. Author disclosures are listed with the original article. Dr. Raji is a consultant for Brainreader, Apollo Health, Pacific Neuroscience Foundation, and Neurevolution Medicine LLC.
A version of this article appears on Medscape.com.
Deaths Linked to Substance Use, CVD on the Rise
TOPLINE:
, with the most pronounced rise among women, American Indians, younger people, rural residents, and users of cannabis and psychostimulants, results of new research suggest.
METHODOLOGY:
- From the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database and using International Classification of Diseases (ICD) codes, researchers collected data on deaths within the United States where both SU and CVD (SU+CVD) were a contributing or an underlying cause and gathered information on location of death (medical facility, home, hospice, nursing home/long-term care facility), demographics (sex, race/ethnicity, age), and region (urban-rural, state).
- Researchers determined crude and age-adjusted mortality rates (AAMRs) per 100,000 population, identified trends in AAMR using annual percent change (APC) and calculated the weighted average of APCs (AAPCs).
- Between 1999 and 2019, there were 636,572 deaths related to CVD+SU, 75.6% of which were among men and 70.6% among non-Hispanic White individuals, with 65% related to alcohol, and where location of death was available, 47.7% occurred in medical facilities.
TAKEAWAY:
- The overall SU+CVD-related AAMR from 1999 to 2019 was 14.3 (95% CI, 14.3-14.3) per 100,000 individuals, with the rate being higher in men (22.5) than in women (6.8) and highest in American Indians or Alaska Natives (37.7) compared with other races/ethnicities.
- Rural areas had higher SU+CVD-related AAMR (15.2; 95% CI, 15.1-15.3) than urban areas, with the District of Columbia having the highest AAMR geographically (25.4), individuals aged 55-69 years having the highest rate agewise (25.1), and alcohol accounting for the highest rate (9.09) among substance types.
- Temporal trends show that the overall SU+CVD-related AAMR increased from 9.9 in 1999 to 21.4 in 2019, a rate that started accelerating in 2012, with an AAPC of 4.0% (95% CI, 3.7-4.3); increases were across all ethnicities and age groups and were particularly pronounced among women (4.8%; 95% CI, 4.5-5.1).
- Cannabis had the highest AAPC of all substances (12.7%), but stimulants had an APC of 21.4 (95% CI, 20.0-22.8) from 2009 to 2019, a period during which stimulants were the fastest-growing substance abuse category.
IN PRACTICE:
These new results identify high-risk groups, which “is crucial for prioritizing preventive measures aiming to reduce substance use and cardiovascular disease-related mortality in these populations,” the researchers wrote.
SOURCE:
Abdul Mannan Khan Minhas, MD, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, and Jakrin Kewcharoen, MD, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, California, were co-first authors of the study, which was published online in the Journal of the American Heart Association.
A version of this article first appeared on Medscape.com.
TOPLINE:
, with the most pronounced rise among women, American Indians, younger people, rural residents, and users of cannabis and psychostimulants, results of new research suggest.
METHODOLOGY:
- From the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database and using International Classification of Diseases (ICD) codes, researchers collected data on deaths within the United States where both SU and CVD (SU+CVD) were a contributing or an underlying cause and gathered information on location of death (medical facility, home, hospice, nursing home/long-term care facility), demographics (sex, race/ethnicity, age), and region (urban-rural, state).
- Researchers determined crude and age-adjusted mortality rates (AAMRs) per 100,000 population, identified trends in AAMR using annual percent change (APC) and calculated the weighted average of APCs (AAPCs).
- Between 1999 and 2019, there were 636,572 deaths related to CVD+SU, 75.6% of which were among men and 70.6% among non-Hispanic White individuals, with 65% related to alcohol, and where location of death was available, 47.7% occurred in medical facilities.
TAKEAWAY:
- The overall SU+CVD-related AAMR from 1999 to 2019 was 14.3 (95% CI, 14.3-14.3) per 100,000 individuals, with the rate being higher in men (22.5) than in women (6.8) and highest in American Indians or Alaska Natives (37.7) compared with other races/ethnicities.
- Rural areas had higher SU+CVD-related AAMR (15.2; 95% CI, 15.1-15.3) than urban areas, with the District of Columbia having the highest AAMR geographically (25.4), individuals aged 55-69 years having the highest rate agewise (25.1), and alcohol accounting for the highest rate (9.09) among substance types.
- Temporal trends show that the overall SU+CVD-related AAMR increased from 9.9 in 1999 to 21.4 in 2019, a rate that started accelerating in 2012, with an AAPC of 4.0% (95% CI, 3.7-4.3); increases were across all ethnicities and age groups and were particularly pronounced among women (4.8%; 95% CI, 4.5-5.1).
- Cannabis had the highest AAPC of all substances (12.7%), but stimulants had an APC of 21.4 (95% CI, 20.0-22.8) from 2009 to 2019, a period during which stimulants were the fastest-growing substance abuse category.
IN PRACTICE:
These new results identify high-risk groups, which “is crucial for prioritizing preventive measures aiming to reduce substance use and cardiovascular disease-related mortality in these populations,” the researchers wrote.
SOURCE:
Abdul Mannan Khan Minhas, MD, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, and Jakrin Kewcharoen, MD, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, California, were co-first authors of the study, which was published online in the Journal of the American Heart Association.
A version of this article first appeared on Medscape.com.
TOPLINE:
, with the most pronounced rise among women, American Indians, younger people, rural residents, and users of cannabis and psychostimulants, results of new research suggest.
METHODOLOGY:
- From the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database and using International Classification of Diseases (ICD) codes, researchers collected data on deaths within the United States where both SU and CVD (SU+CVD) were a contributing or an underlying cause and gathered information on location of death (medical facility, home, hospice, nursing home/long-term care facility), demographics (sex, race/ethnicity, age), and region (urban-rural, state).
- Researchers determined crude and age-adjusted mortality rates (AAMRs) per 100,000 population, identified trends in AAMR using annual percent change (APC) and calculated the weighted average of APCs (AAPCs).
- Between 1999 and 2019, there were 636,572 deaths related to CVD+SU, 75.6% of which were among men and 70.6% among non-Hispanic White individuals, with 65% related to alcohol, and where location of death was available, 47.7% occurred in medical facilities.
TAKEAWAY:
- The overall SU+CVD-related AAMR from 1999 to 2019 was 14.3 (95% CI, 14.3-14.3) per 100,000 individuals, with the rate being higher in men (22.5) than in women (6.8) and highest in American Indians or Alaska Natives (37.7) compared with other races/ethnicities.
- Rural areas had higher SU+CVD-related AAMR (15.2; 95% CI, 15.1-15.3) than urban areas, with the District of Columbia having the highest AAMR geographically (25.4), individuals aged 55-69 years having the highest rate agewise (25.1), and alcohol accounting for the highest rate (9.09) among substance types.
- Temporal trends show that the overall SU+CVD-related AAMR increased from 9.9 in 1999 to 21.4 in 2019, a rate that started accelerating in 2012, with an AAPC of 4.0% (95% CI, 3.7-4.3); increases were across all ethnicities and age groups and were particularly pronounced among women (4.8%; 95% CI, 4.5-5.1).
- Cannabis had the highest AAPC of all substances (12.7%), but stimulants had an APC of 21.4 (95% CI, 20.0-22.8) from 2009 to 2019, a period during which stimulants were the fastest-growing substance abuse category.
IN PRACTICE:
These new results identify high-risk groups, which “is crucial for prioritizing preventive measures aiming to reduce substance use and cardiovascular disease-related mortality in these populations,” the researchers wrote.
SOURCE:
Abdul Mannan Khan Minhas, MD, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, and Jakrin Kewcharoen, MD, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, California, were co-first authors of the study, which was published online in the Journal of the American Heart Association.
A version of this article first appeared on Medscape.com.
How Much Does Screen Time Really Affect Child Development?
France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day.
We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”
The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.
Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
Are Politicians in Too Much of a Rush?
UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.
The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.
But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”
While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.”
Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
The Key Is the What and Where
Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”
On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said.
Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”
Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
Are School Bans Too Restrictive?
Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.
For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”
Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”
Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”
The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”
A version of this article appeared on Medscape.com.
France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day.
We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”
The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.
Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
Are Politicians in Too Much of a Rush?
UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.
The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.
But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”
While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.”
Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
The Key Is the What and Where
Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”
On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said.
Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”
Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
Are School Bans Too Restrictive?
Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.
For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”
Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”
Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”
The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”
A version of this article appeared on Medscape.com.
France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day.
We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”
The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.
Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
Are Politicians in Too Much of a Rush?
UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.
The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.
But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”
While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.”
Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
The Key Is the What and Where
Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”
On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said.
Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”
Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
Are School Bans Too Restrictive?
Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.
For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”
Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”
Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”
The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”
A version of this article appeared on Medscape.com.