Depression

Increasingly recognized as a multifactorial disease, obesity demands an approach that involves multiple healthcare professionals. For psychologist Andréa Levy, coordinator and founder of the nongovernmental organization Obesity Brazil, addressing the patient’s “psychological weight” is crucial.

In an interview with this news organization, Ms. Levy, who was one of the speakers at the International Congress on Obesity in 2024, emphasized the importance of integrating emotional and behavioral aspects into treatment, because these factors often influence eating habits and weight gain.

She also highlighted the essential collaboration between endocrinologists, nutritionists, psychiatrists, and psychologists, who must work together to provide comprehensive and effective care to patients.
 

How do psychological factors affect the treatment of obesity?

Psychological factors are important triggers for weight gain. As the degree of obesity increases, so does the predisposition to mental health problems such as anxiety, mood disorders, personality disorders, and eating disorders. Understanding these factors is important because accurate psychodiagnosis is essential for effective disease treatment.

Without a proper diagnosis, the treatment may be incomplete and omit relevant factors. For example, a person with undiagnosed depression who is starting treatment for weight loss may feel discouraged and low on energy. He or she may wrongly attribute these symptoms to the diet or surgery. Similarly, someone undergoing bariatric surgery may confuse malnutrition symptoms with depression, resulting in inadequate treatment with antidepressants and possible iatrogenic complications.

Furthermore, psychotherapy and psychological follow-up are essential to help the individual organize better and understand the treatment and the disease itself. This is especially important in stigmatized diseases and those subject to prejudice such as obesity, where understanding and acceptance are often challenging, which affects treatment adherence.

Is the collaboration between psychologist and psychiatrist always necessary?

Often, it is necessary to have the support of both a psychologist and a psychiatrist. The process generally begins with a good psychodiagnosis. Initially, there may not be a case that requires treatment, but it is important to perform this evaluation to rule out any issues.

The follow-up, unlike weekly psychotherapy, can be monthly or at an interval agreed on with the patient. It is crucial to help him or her navigate the various stages of obesity treatment. For example, the patient may be going through a period of mourning or separation, or a happier moment, such as the beginning of a relationship or the birth of a child in the family. These moments affect eating habits and need to be well managed.

Depending on the degree of the pathology, such as depression, severe binge-eating disorder, or personality disorders, the psychologist works in conjunction with the psychiatrist. When we talk about obesity, we are possibly also talking about a psychiatric population because it is a disease that, besides being highly recurrent, involves many other factors, such as the gaze of others, difficulty with dressing, body pains, mobility, and relationships. Therefore, having this disease alone is already a trigger for disorders such as depression.
 

What is the main evidence regarding the psychological follow-up of patients with obesity?

Several studies have investigated the relationship between obesity and mental health. Research indicates that the greater the obesity, the higher the likelihood of a positive diagnosis for a psychiatric disorder. Additionally, there is evidence of the benefits of psychological treatment for patients with obesity.

A study published in the Journal of Clinical Endocrinology and Metabolism addressed the impact of cognitive-behavioral therapy (CBT), which helps patients manage goals and treat maladaptive behaviors such as binge-eating disorders. CBT has a modest effect on weight loss, but its integration as part of a lifestyle modification amplifies the results of this loss.

Recent research also shows that weight loss through bariatric surgery offers significant psychological benefits. In the past, it was believed that this procedure could cause depression and other severe psychiatric disorders, but it is now more than proven that weight loss, when done properly and without misconduct or malnutrition, improves psychological and psychiatric issues.
 

How does psychological follow-up affect the use of medication during obesity treatment?

Many people who take medications, such as corticosteroids for chronic pain or psychiatric medications, may experience weight gain. It is essential to discuss these issues with the psychiatrist because if the patient already has a predisposition to weight gain, medication X should be chosen instead of medication Y, or the dosage should be adjusted. The psychiatrist needs to understand obesity to medicate correctly. Other types of medication, such as chemotherapeutics, may also cause weight gain, often resulting in more abdominal obesity.

There is also lipedema, a hormone-dependent disease that is different from obesity. In this disease, the person gains weight mainly in the legs and arms. In this case, bariatric surgery may result in weight loss only in specific areas, causing disproportionality and difficulty in understanding for the patient. Therefore, when treating obesity, it is important to analyze the patient from all angles: psychological, physiologic, and physical, considering the diversity of the body, its functioning, and hormonal reactions.

Although psychologists do not prescribe medications, they often explain their functioning to the patient. For example, if a patient is taking a glucagon-like peptide 1 analog and experiences initial nausea, he or she may stop using the treatment because the wrong dose had been started. In this case, the psychologist can explain how the medication works and encourage the patient to discuss adjustments with the doctor, avoiding premature discontinuation.
 

How has the mental health follow-up of patients with obesity evolved over the years?

I started working with people with obesity 25 years ago, when I myself underwent bariatric surgery. At that time, surgeons were used to “solving” the problem and sending the person home. Often, the patient did not even return for surgical follow-up because, in theory, the problem was solved.

Over time, I believe that surgeons learned to talk to the patient, understanding that there is a whole process that even involves creating a bond with the individual who underwent the surgical procedure. Within this process, the importance of the mental health of patients was recognized, and how common it is to confuse a degree of malnutrition with a mental disorder.

Even though I am not a nutritionist, I need to know the difference between a case of malnutrition and depression. So, it is a whole set of factors that needs to be worked on like an orchestra. It is not necessary for this work to be done in the same physical space, but dialogue is important.

Of course, there are things that the patient will only share with the psychologist or with the surgeon, but there are also pieces of information that need to be shared for positive management. I have had patients who were afraid to go back to the nutritionist because they did not lose weight. If they are afraid, it is because the professional is guiding them incorrectly.
 

What tips would you give to clinicians regarding the psychological approach to people with obesity?

Accessibility is crucial. When someone tells me they are dealing with obesity and depression, I usually ask, “Did you know you have two chronic diseases?” It is essential to explain these concepts because the patient may often think they are free after a successful diet and weight loss, which is not true because of the high relapse associated with obesity. Depression and anxiety follow similar patterns. If the same person wears prescription glasses, I interact by saying, “Did you know you have three chronic diseases?” This question often causes surprise. “I hadn’t thought of that.”

It is essential to use accessible language for the patient to understand the functioning of the disease. More important than choosing a treatment approach is understanding the pathophysiology of obesity and its psychological impact. This avoids a one-size-fits-all approach for all patients.

For example, the impact on someone who developed obesity in childhood after suffering physical, moral, or sexual abuse will probably be deeper than on someone in a healthy family who gained weight after becoming sedentary. Each life story requires a personalized approach.

Sometimes, a patient with mild obesity (grade 1) may not seem to need specific interventions at first glance, but it is crucial to listen to his or her story. Similarly, patients with severe obesity (grades 3 or 4) who resist surgery are entitled to other treatment options, and this is perfectly valid. Therefore, it is always important to ask, “Who is this person? What does obesity represent in their story?” Then propose the most appropriate treatment.

Ms. Levy reported having no relevant financial relationships.
 

This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Increasingly recognized as a multifactorial disease, obesity demands an approach that involves multiple healthcare professionals. For psychologist Andréa Levy, coordinator and founder of the nongovernmental organization Obesity Brazil, addressing the patient’s “psychological weight” is crucial.

In an interview with this news organization, Ms. Levy, who was one of the speakers at the International Congress on Obesity in 2024, emphasized the importance of integrating emotional and behavioral aspects into treatment, because these factors often influence eating habits and weight gain.

She also highlighted the essential collaboration between endocrinologists, nutritionists, psychiatrists, and psychologists, who must work together to provide comprehensive and effective care to patients.
 

How do psychological factors affect the treatment of obesity?

Psychological factors are important triggers for weight gain. As the degree of obesity increases, so does the predisposition to mental health problems such as anxiety, mood disorders, personality disorders, and eating disorders. Understanding these factors is important because accurate psychodiagnosis is essential for effective disease treatment.

Without a proper diagnosis, the treatment may be incomplete and omit relevant factors. For example, a person with undiagnosed depression who is starting treatment for weight loss may feel discouraged and low on energy. He or she may wrongly attribute these symptoms to the diet or surgery. Similarly, someone undergoing bariatric surgery may confuse malnutrition symptoms with depression, resulting in inadequate treatment with antidepressants and possible iatrogenic complications.

Furthermore, psychotherapy and psychological follow-up are essential to help the individual organize better and understand the treatment and the disease itself. This is especially important in stigmatized diseases and those subject to prejudice such as obesity, where understanding and acceptance are often challenging, which affects treatment adherence.

Is the collaboration between psychologist and psychiatrist always necessary?

Often, it is necessary to have the support of both a psychologist and a psychiatrist. The process generally begins with a good psychodiagnosis. Initially, there may not be a case that requires treatment, but it is important to perform this evaluation to rule out any issues.

The follow-up, unlike weekly psychotherapy, can be monthly or at an interval agreed on with the patient. It is crucial to help him or her navigate the various stages of obesity treatment. For example, the patient may be going through a period of mourning or separation, or a happier moment, such as the beginning of a relationship or the birth of a child in the family. These moments affect eating habits and need to be well managed.

Depending on the degree of the pathology, such as depression, severe binge-eating disorder, or personality disorders, the psychologist works in conjunction with the psychiatrist. When we talk about obesity, we are possibly also talking about a psychiatric population because it is a disease that, besides being highly recurrent, involves many other factors, such as the gaze of others, difficulty with dressing, body pains, mobility, and relationships. Therefore, having this disease alone is already a trigger for disorders such as depression.
 

What is the main evidence regarding the psychological follow-up of patients with obesity?

Several studies have investigated the relationship between obesity and mental health. Research indicates that the greater the obesity, the higher the likelihood of a positive diagnosis for a psychiatric disorder. Additionally, there is evidence of the benefits of psychological treatment for patients with obesity.

A study published in the Journal of Clinical Endocrinology and Metabolism addressed the impact of cognitive-behavioral therapy (CBT), which helps patients manage goals and treat maladaptive behaviors such as binge-eating disorders. CBT has a modest effect on weight loss, but its integration as part of a lifestyle modification amplifies the results of this loss.

Recent research also shows that weight loss through bariatric surgery offers significant psychological benefits. In the past, it was believed that this procedure could cause depression and other severe psychiatric disorders, but it is now more than proven that weight loss, when done properly and without misconduct or malnutrition, improves psychological and psychiatric issues.
 

How does psychological follow-up affect the use of medication during obesity treatment?

Many people who take medications, such as corticosteroids for chronic pain or psychiatric medications, may experience weight gain. It is essential to discuss these issues with the psychiatrist because if the patient already has a predisposition to weight gain, medication X should be chosen instead of medication Y, or the dosage should be adjusted. The psychiatrist needs to understand obesity to medicate correctly. Other types of medication, such as chemotherapeutics, may also cause weight gain, often resulting in more abdominal obesity.

There is also lipedema, a hormone-dependent disease that is different from obesity. In this disease, the person gains weight mainly in the legs and arms. In this case, bariatric surgery may result in weight loss only in specific areas, causing disproportionality and difficulty in understanding for the patient. Therefore, when treating obesity, it is important to analyze the patient from all angles: psychological, physiologic, and physical, considering the diversity of the body, its functioning, and hormonal reactions.

Although psychologists do not prescribe medications, they often explain their functioning to the patient. For example, if a patient is taking a glucagon-like peptide 1 analog and experiences initial nausea, he or she may stop using the treatment because the wrong dose had been started. In this case, the psychologist can explain how the medication works and encourage the patient to discuss adjustments with the doctor, avoiding premature discontinuation.
 

How has the mental health follow-up of patients with obesity evolved over the years?

I started working with people with obesity 25 years ago, when I myself underwent bariatric surgery. At that time, surgeons were used to “solving” the problem and sending the person home. Often, the patient did not even return for surgical follow-up because, in theory, the problem was solved.

Over time, I believe that surgeons learned to talk to the patient, understanding that there is a whole process that even involves creating a bond with the individual who underwent the surgical procedure. Within this process, the importance of the mental health of patients was recognized, and how common it is to confuse a degree of malnutrition with a mental disorder.

Even though I am not a nutritionist, I need to know the difference between a case of malnutrition and depression. So, it is a whole set of factors that needs to be worked on like an orchestra. It is not necessary for this work to be done in the same physical space, but dialogue is important.

Of course, there are things that the patient will only share with the psychologist or with the surgeon, but there are also pieces of information that need to be shared for positive management. I have had patients who were afraid to go back to the nutritionist because they did not lose weight. If they are afraid, it is because the professional is guiding them incorrectly.
 

What tips would you give to clinicians regarding the psychological approach to people with obesity?

Accessibility is crucial. When someone tells me they are dealing with obesity and depression, I usually ask, “Did you know you have two chronic diseases?” It is essential to explain these concepts because the patient may often think they are free after a successful diet and weight loss, which is not true because of the high relapse associated with obesity. Depression and anxiety follow similar patterns. If the same person wears prescription glasses, I interact by saying, “Did you know you have three chronic diseases?” This question often causes surprise. “I hadn’t thought of that.”

It is essential to use accessible language for the patient to understand the functioning of the disease. More important than choosing a treatment approach is understanding the pathophysiology of obesity and its psychological impact. This avoids a one-size-fits-all approach for all patients.

For example, the impact on someone who developed obesity in childhood after suffering physical, moral, or sexual abuse will probably be deeper than on someone in a healthy family who gained weight after becoming sedentary. Each life story requires a personalized approach.

Sometimes, a patient with mild obesity (grade 1) may not seem to need specific interventions at first glance, but it is crucial to listen to his or her story. Similarly, patients with severe obesity (grades 3 or 4) who resist surgery are entitled to other treatment options, and this is perfectly valid. Therefore, it is always important to ask, “Who is this person? What does obesity represent in their story?” Then propose the most appropriate treatment.

Ms. Levy reported having no relevant financial relationships.
 

This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Increasingly recognized as a multifactorial disease, obesity demands an approach that involves multiple healthcare professionals. For psychologist Andréa Levy, coordinator and founder of the nongovernmental organization Obesity Brazil, addressing the patient’s “psychological weight” is crucial.

In an interview with this news organization, Ms. Levy, who was one of the speakers at the International Congress on Obesity in 2024, emphasized the importance of integrating emotional and behavioral aspects into treatment, because these factors often influence eating habits and weight gain.

She also highlighted the essential collaboration between endocrinologists, nutritionists, psychiatrists, and psychologists, who must work together to provide comprehensive and effective care to patients.
 

How do psychological factors affect the treatment of obesity?

Psychological factors are important triggers for weight gain. As the degree of obesity increases, so does the predisposition to mental health problems such as anxiety, mood disorders, personality disorders, and eating disorders. Understanding these factors is important because accurate psychodiagnosis is essential for effective disease treatment.

Without a proper diagnosis, the treatment may be incomplete and omit relevant factors. For example, a person with undiagnosed depression who is starting treatment for weight loss may feel discouraged and low on energy. He or she may wrongly attribute these symptoms to the diet or surgery. Similarly, someone undergoing bariatric surgery may confuse malnutrition symptoms with depression, resulting in inadequate treatment with antidepressants and possible iatrogenic complications.

Furthermore, psychotherapy and psychological follow-up are essential to help the individual organize better and understand the treatment and the disease itself. This is especially important in stigmatized diseases and those subject to prejudice such as obesity, where understanding and acceptance are often challenging, which affects treatment adherence.

Is the collaboration between psychologist and psychiatrist always necessary?

Often, it is necessary to have the support of both a psychologist and a psychiatrist. The process generally begins with a good psychodiagnosis. Initially, there may not be a case that requires treatment, but it is important to perform this evaluation to rule out any issues.

The follow-up, unlike weekly psychotherapy, can be monthly or at an interval agreed on with the patient. It is crucial to help him or her navigate the various stages of obesity treatment. For example, the patient may be going through a period of mourning or separation, or a happier moment, such as the beginning of a relationship or the birth of a child in the family. These moments affect eating habits and need to be well managed.

Depending on the degree of the pathology, such as depression, severe binge-eating disorder, or personality disorders, the psychologist works in conjunction with the psychiatrist. When we talk about obesity, we are possibly also talking about a psychiatric population because it is a disease that, besides being highly recurrent, involves many other factors, such as the gaze of others, difficulty with dressing, body pains, mobility, and relationships. Therefore, having this disease alone is already a trigger for disorders such as depression.
 

What is the main evidence regarding the psychological follow-up of patients with obesity?

Several studies have investigated the relationship between obesity and mental health. Research indicates that the greater the obesity, the higher the likelihood of a positive diagnosis for a psychiatric disorder. Additionally, there is evidence of the benefits of psychological treatment for patients with obesity.

A study published in the Journal of Clinical Endocrinology and Metabolism addressed the impact of cognitive-behavioral therapy (CBT), which helps patients manage goals and treat maladaptive behaviors such as binge-eating disorders. CBT has a modest effect on weight loss, but its integration as part of a lifestyle modification amplifies the results of this loss.

Recent research also shows that weight loss through bariatric surgery offers significant psychological benefits. In the past, it was believed that this procedure could cause depression and other severe psychiatric disorders, but it is now more than proven that weight loss, when done properly and without misconduct or malnutrition, improves psychological and psychiatric issues.
 

How does psychological follow-up affect the use of medication during obesity treatment?

Many people who take medications, such as corticosteroids for chronic pain or psychiatric medications, may experience weight gain. It is essential to discuss these issues with the psychiatrist because if the patient already has a predisposition to weight gain, medication X should be chosen instead of medication Y, or the dosage should be adjusted. The psychiatrist needs to understand obesity to medicate correctly. Other types of medication, such as chemotherapeutics, may also cause weight gain, often resulting in more abdominal obesity.

There is also lipedema, a hormone-dependent disease that is different from obesity. In this disease, the person gains weight mainly in the legs and arms. In this case, bariatric surgery may result in weight loss only in specific areas, causing disproportionality and difficulty in understanding for the patient. Therefore, when treating obesity, it is important to analyze the patient from all angles: psychological, physiologic, and physical, considering the diversity of the body, its functioning, and hormonal reactions.

Although psychologists do not prescribe medications, they often explain their functioning to the patient. For example, if a patient is taking a glucagon-like peptide 1 analog and experiences initial nausea, he or she may stop using the treatment because the wrong dose had been started. In this case, the psychologist can explain how the medication works and encourage the patient to discuss adjustments with the doctor, avoiding premature discontinuation.
 

How has the mental health follow-up of patients with obesity evolved over the years?

I started working with people with obesity 25 years ago, when I myself underwent bariatric surgery. At that time, surgeons were used to “solving” the problem and sending the person home. Often, the patient did not even return for surgical follow-up because, in theory, the problem was solved.

Over time, I believe that surgeons learned to talk to the patient, understanding that there is a whole process that even involves creating a bond with the individual who underwent the surgical procedure. Within this process, the importance of the mental health of patients was recognized, and how common it is to confuse a degree of malnutrition with a mental disorder.

Even though I am not a nutritionist, I need to know the difference between a case of malnutrition and depression. So, it is a whole set of factors that needs to be worked on like an orchestra. It is not necessary for this work to be done in the same physical space, but dialogue is important.

Of course, there are things that the patient will only share with the psychologist or with the surgeon, but there are also pieces of information that need to be shared for positive management. I have had patients who were afraid to go back to the nutritionist because they did not lose weight. If they are afraid, it is because the professional is guiding them incorrectly.
 

What tips would you give to clinicians regarding the psychological approach to people with obesity?

Accessibility is crucial. When someone tells me they are dealing with obesity and depression, I usually ask, “Did you know you have two chronic diseases?” It is essential to explain these concepts because the patient may often think they are free after a successful diet and weight loss, which is not true because of the high relapse associated with obesity. Depression and anxiety follow similar patterns. If the same person wears prescription glasses, I interact by saying, “Did you know you have three chronic diseases?” This question often causes surprise. “I hadn’t thought of that.”

It is essential to use accessible language for the patient to understand the functioning of the disease. More important than choosing a treatment approach is understanding the pathophysiology of obesity and its psychological impact. This avoids a one-size-fits-all approach for all patients.

For example, the impact on someone who developed obesity in childhood after suffering physical, moral, or sexual abuse will probably be deeper than on someone in a healthy family who gained weight after becoming sedentary. Each life story requires a personalized approach.

Sometimes, a patient with mild obesity (grade 1) may not seem to need specific interventions at first glance, but it is crucial to listen to his or her story. Similarly, patients with severe obesity (grades 3 or 4) who resist surgery are entitled to other treatment options, and this is perfectly valid. Therefore, it is always important to ask, “Who is this person? What does obesity represent in their story?” Then propose the most appropriate treatment.

Ms. Levy reported having no relevant financial relationships.
 

This story was translated from the Medscape Portuguese edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Smartphone apps, including those using cognitive-behavioral therapy (CBT) and mindfulness techniques, showed comparable efficacy in reducing depression, anxiety, and suicidality in patients with psychiatric conditions waiting for appointments with psychiatrists or therapists.

METHODOLOGY:

• Participants were adults aged 18 years or older seeking outpatient psychiatric services from several mental and behavioral health clinics within the University of Michigan Health System.
• Eligible participants were those with either a scheduled future mental health appointment or an initial appointment completed within the past 60 days and daily access to a smartphone.
• After completing a baseline survey that gathered data on participants’ depression, anxiety, and suicidality scores, 2080 participants were randomly assigned to one of five groups:
• Enhanced personalized feedback (EPF) only (n = 690)
• SilverCloud only (SilverCloud, a mobile application designed to deliver CBT strategies; n = 345)
• SilverCloud plus EPF (n = 346)
• Headspace only (Headspace, a mobile application designed to train users in mindfulness practices; n = 349)
• Headspace plus EPF (n = 349)

TAKEAWAY:

• The mean baseline Patient Health Questionnaire-9 depression score was 12.7 (6.4% patients). Overall, depression scores significantly decreased by 2.5 points from baseline to the 6-week follow-up for all five arms, with marginal mean differences in mean change ranging from −2.1 to −2.9 (P < .001).
• The magnitude of change was not significantly different across the five arms on most measures (P = .31). Additionally, the groups did not differ in decrease of anxiety or substance use symptoms.
• The Headspace arms reported significantly greater improvements on a suicidality measure subscale than the SilverCloud arms (mean difference in mean change, 0.63; P = .004).

IN PRACTICE:

“Having this type of option, especially for people who are motivated enough to seek an appointment and wait for it, could be very valuable when providers have long wait lists,” lead author Adam Horwitz, PhD, University of Michigan, Ann Arbor, said in a press release.

“These individuals want to be doing something about their mental health but don’t yet have access, so this suggests that providing them with some sort of digital option when their motivation is already high, and they are ready to do something, could begin to make a difference.”
 

SOURCE:

Dr. Horwitz led the study, which was published online in JAMA Network Open.

LIMITATIONS:

There may have been aspects of formal or in-person care that contributed to the improvement in symptoms across groups and diluted the ability to identify differences between applications in effects on symptom reduction.

DISCLOSURES:

This study was funded by a grant from Precision Health, the Eisenberg Family Depression Center, and the National Institute of Mental Health. Disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.A version of this article first appeared on Medscape.com.

TOPLINE:

Smartphone apps, including those using cognitive-behavioral therapy (CBT) and mindfulness techniques, showed comparable efficacy in reducing depression, anxiety, and suicidality in patients with psychiatric conditions waiting for appointments with psychiatrists or therapists.

METHODOLOGY:

• Participants were adults aged 18 years or older seeking outpatient psychiatric services from several mental and behavioral health clinics within the University of Michigan Health System.
• Eligible participants were those with either a scheduled future mental health appointment or an initial appointment completed within the past 60 days and daily access to a smartphone.
• After completing a baseline survey that gathered data on participants’ depression, anxiety, and suicidality scores, 2080 participants were randomly assigned to one of five groups:
• Enhanced personalized feedback (EPF) only (n = 690)
• SilverCloud only (SilverCloud, a mobile application designed to deliver CBT strategies; n = 345)
• SilverCloud plus EPF (n = 346)
• Headspace only (Headspace, a mobile application designed to train users in mindfulness practices; n = 349)
• Headspace plus EPF (n = 349)

TAKEAWAY:

• The mean baseline Patient Health Questionnaire-9 depression score was 12.7 (6.4% patients). Overall, depression scores significantly decreased by 2.5 points from baseline to the 6-week follow-up for all five arms, with marginal mean differences in mean change ranging from −2.1 to −2.9 (P < .001).
• The magnitude of change was not significantly different across the five arms on most measures (P = .31). Additionally, the groups did not differ in decrease of anxiety or substance use symptoms.
• The Headspace arms reported significantly greater improvements on a suicidality measure subscale than the SilverCloud arms (mean difference in mean change, 0.63; P = .004).

IN PRACTICE:

“Having this type of option, especially for people who are motivated enough to seek an appointment and wait for it, could be very valuable when providers have long wait lists,” lead author Adam Horwitz, PhD, University of Michigan, Ann Arbor, said in a press release.

“These individuals want to be doing something about their mental health but don’t yet have access, so this suggests that providing them with some sort of digital option when their motivation is already high, and they are ready to do something, could begin to make a difference.”
 

SOURCE:

Dr. Horwitz led the study, which was published online in JAMA Network Open.

LIMITATIONS:

There may have been aspects of formal or in-person care that contributed to the improvement in symptoms across groups and diluted the ability to identify differences between applications in effects on symptom reduction.

DISCLOSURES:

This study was funded by a grant from Precision Health, the Eisenberg Family Depression Center, and the National Institute of Mental Health. Disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.A version of this article first appeared on Medscape.com.

TOPLINE:

Smartphone apps, including those using cognitive-behavioral therapy (CBT) and mindfulness techniques, showed comparable efficacy in reducing depression, anxiety, and suicidality in patients with psychiatric conditions waiting for appointments with psychiatrists or therapists.

METHODOLOGY:

• Participants were adults aged 18 years or older seeking outpatient psychiatric services from several mental and behavioral health clinics within the University of Michigan Health System.
• Eligible participants were those with either a scheduled future mental health appointment or an initial appointment completed within the past 60 days and daily access to a smartphone.
• After completing a baseline survey that gathered data on participants’ depression, anxiety, and suicidality scores, 2080 participants were randomly assigned to one of five groups:
• Enhanced personalized feedback (EPF) only (n = 690)
• SilverCloud only (SilverCloud, a mobile application designed to deliver CBT strategies; n = 345)
• SilverCloud plus EPF (n = 346)
• Headspace only (Headspace, a mobile application designed to train users in mindfulness practices; n = 349)
• Headspace plus EPF (n = 349)

TAKEAWAY:

• The mean baseline Patient Health Questionnaire-9 depression score was 12.7 (6.4% patients). Overall, depression scores significantly decreased by 2.5 points from baseline to the 6-week follow-up for all five arms, with marginal mean differences in mean change ranging from −2.1 to −2.9 (P < .001).
• The magnitude of change was not significantly different across the five arms on most measures (P = .31). Additionally, the groups did not differ in decrease of anxiety or substance use symptoms.
• The Headspace arms reported significantly greater improvements on a suicidality measure subscale than the SilverCloud arms (mean difference in mean change, 0.63; P = .004).

IN PRACTICE:

“Having this type of option, especially for people who are motivated enough to seek an appointment and wait for it, could be very valuable when providers have long wait lists,” lead author Adam Horwitz, PhD, University of Michigan, Ann Arbor, said in a press release.

“These individuals want to be doing something about their mental health but don’t yet have access, so this suggests that providing them with some sort of digital option when their motivation is already high, and they are ready to do something, could begin to make a difference.”
 

SOURCE:

Dr. Horwitz led the study, which was published online in JAMA Network Open.

LIMITATIONS:

There may have been aspects of formal or in-person care that contributed to the improvement in symptoms across groups and diluted the ability to identify differences between applications in effects on symptom reduction.

DISCLOSURES:

This study was funded by a grant from Precision Health, the Eisenberg Family Depression Center, and the National Institute of Mental Health. Disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.A version of this article first appeared on Medscape.com.

Lauren Opladen remembers the agonizing wait all too well.

At age 17, struggling with paralyzing depression after losing her brother to suicide and her father to amyotrophic lateral sclerosis, her teacher suggested she seek help.

So, she did. But she had to spend 3 days inside an emergency department at the University of Rochester Medical Center in Rochester, New York, where the Comprehensive Psychiatric Emergency Program (CPEP) provides immediate care for youth and adults experiencing psychiatric emergencies.

“We were sleeping on a couch just waiting for all these services, when that’s precious time wasted,” Ms. Opladen said.

Ms. Opladen made it through that dark period, and 5 years later, she is a registered nurse at the same hospital. Every day she walks past a new facility she wishes had existed during her troubled teenage years: An urgent care center for children and adolescents experiencing mental health crises.

Brighter Days Pediatric Mental Health Urgent Care Center, Rochester, New York, opened in July as a walk-in clinic offering rapid assessment, crisis intervention, and short-term stabilization, provides referrals to counseling or psychiatric care. Children and adolescents at immediate risk of harming themselves or others, or who need inpatient care, are sent to CPEP or another emergency department in the area.

Similar walk-in facilities linking youth to longer-term services are popping up in nearly a dozen states, including New York, Ohio, Massachusetts, and Wisconsin. The emerging model of care may offer a crucial bridge between traditional outpatient services and emergency room (ER) visits for some young people experiencing mental health crises.

“We’ve seen a significant increase in the number of children and adolescents presenting to emergency departments with mental health concerns,” said Michael A. Scharf, MD, chief of the Division of Child and Adolescent Psychiatry at the University of Rochester Medical Center, who oversees operations at Brighter Days. “These urgent care centers provide a more appropriate setting for many of these cases, offering specialized care without the often overwhelming environment of an ER.”

The urgency of addressing youth behavioral health has become increasingly apparent. The most recent data from the US Centers for Disease Control and Prevention showed that over a 6-month period in 2020, during the early months of the COVID-19 pandemic, visits to the emergency department for mental health problems spiked 24% among children aged 5-11 years and 31% among 12-17-year-olds compared with the same period in 2019. Between March 2021 and February 2022, such emergency visits rose by 22% for teen girls, while falling by 15% for boys ages 5-12 years and 9% for older boys. Most visits occur during the school year.

But staffing shortages and limited physical space are taxing the capacity of the healthcare system to screen, diagnose, and manage these patients, according to a 2023 report published in Pediatrics.
 

Urgent Care: A Misnomer?

Some in the mental health community said the label “urgent” in these centers’ titles is misleading. Brighter Days and similar facilities do not conduct involuntary holds, administer medication, or handle serious cases like psychotic episodes.

David Mathison, MD, senior vice president of clinic operations at PM Pediatrics, a chain of pediatric urgent care clinics in Maryland, said patients and their families may mistakenly believe the centers will address mental health problems quickly.

“It’s really not urgent behavioral health. It’s really just another access point to get behavioral health,” Dr. Mathison said. “Crises in pediatrics are so much more complex” than physical injuries or acute infections, which are the bread and butter of urgent care centers.

“An urgent care center almost implies you’re going to come in for a solution to a simple problem, and it’s going to be done relatively quickly on demand, and it’s just not what the behavioral health centers do,” he said.

Dr. Mathison, who also serves on the executive committee for the section on urgent care at the American Academy of Pediatrics, likened the centers to in-person versions of crisis center hotlines, which offer virtual counseling and talk therapy and may refer individuals to specialists who can provide clinical care over the long term.

Instead, Brighter Days and other centers provide crisis de-escalation for individuals experiencing an exacerbation of a diagnosed mental illness, such a manic episode from bipolar disorder.

“Most places aren’t just going to change their therapy without either contacting their psychiatrist or having psychiatrists on staff,” Dr. Mathison said.

Other challenges at Brighter Days and similar centers include staffing with appropriately trained mental health professionals, given the nationwide shortage of child and adolescent psychiatrists, Dr. Scharf said.

The number of child and adolescent psychiatrists per 100,000 children varies significantly across states. Nationally, the average stands at 14 psychiatrists per 100,000 children, but ranges from as low as 4 to 65, according to the American Academy of Child & Adolescent Psychiatry.

For now, Dr. Scharf said, patients who visit Brighter Days are billed as if they are having a routine pediatric office visit as opposed to a pricier trip to the emergency department. And the center accepts all individuals, regardless of their insurance status.

Ms. Opladen said the urgent care center represents a significant improvement over her experience at the emergency department’s psychiatric triage.

“I saw how awful it was and just the environment,” she said. “The first thing I thought was, what do I need to do to get out of here?”

She said the pediatric mental health urgent care centers are “the complete opposite.” Like Brighter Days, these centers are designed to look more like a pediatrician’s office, with bright welcoming colors and games and toys.

“It’s separated from everything else. There’s a welcome, relaxed space,” she said. “The welcoming feel is just a whole different environment, and that’s really how it should be.”
 

A version of this article first appeared on Medscape.com.

Lauren Opladen remembers the agonizing wait all too well.

At age 17, struggling with paralyzing depression after losing her brother to suicide and her father to amyotrophic lateral sclerosis, her teacher suggested she seek help.

So, she did. But she had to spend 3 days inside an emergency department at the University of Rochester Medical Center in Rochester, New York, where the Comprehensive Psychiatric Emergency Program (CPEP) provides immediate care for youth and adults experiencing psychiatric emergencies.

“We were sleeping on a couch just waiting for all these services, when that’s precious time wasted,” Ms. Opladen said.

Ms. Opladen made it through that dark period, and 5 years later, she is a registered nurse at the same hospital. Every day she walks past a new facility she wishes had existed during her troubled teenage years: An urgent care center for children and adolescents experiencing mental health crises.

Brighter Days Pediatric Mental Health Urgent Care Center, Rochester, New York, opened in July as a walk-in clinic offering rapid assessment, crisis intervention, and short-term stabilization, provides referrals to counseling or psychiatric care. Children and adolescents at immediate risk of harming themselves or others, or who need inpatient care, are sent to CPEP or another emergency department in the area.

Similar walk-in facilities linking youth to longer-term services are popping up in nearly a dozen states, including New York, Ohio, Massachusetts, and Wisconsin. The emerging model of care may offer a crucial bridge between traditional outpatient services and emergency room (ER) visits for some young people experiencing mental health crises.

“We’ve seen a significant increase in the number of children and adolescents presenting to emergency departments with mental health concerns,” said Michael A. Scharf, MD, chief of the Division of Child and Adolescent Psychiatry at the University of Rochester Medical Center, who oversees operations at Brighter Days. “These urgent care centers provide a more appropriate setting for many of these cases, offering specialized care without the often overwhelming environment of an ER.”

The urgency of addressing youth behavioral health has become increasingly apparent. The most recent data from the US Centers for Disease Control and Prevention showed that over a 6-month period in 2020, during the early months of the COVID-19 pandemic, visits to the emergency department for mental health problems spiked 24% among children aged 5-11 years and 31% among 12-17-year-olds compared with the same period in 2019. Between March 2021 and February 2022, such emergency visits rose by 22% for teen girls, while falling by 15% for boys ages 5-12 years and 9% for older boys. Most visits occur during the school year.

But staffing shortages and limited physical space are taxing the capacity of the healthcare system to screen, diagnose, and manage these patients, according to a 2023 report published in Pediatrics.
 

Urgent Care: A Misnomer?

Some in the mental health community said the label “urgent” in these centers’ titles is misleading. Brighter Days and similar facilities do not conduct involuntary holds, administer medication, or handle serious cases like psychotic episodes.

David Mathison, MD, senior vice president of clinic operations at PM Pediatrics, a chain of pediatric urgent care clinics in Maryland, said patients and their families may mistakenly believe the centers will address mental health problems quickly.

“It’s really not urgent behavioral health. It’s really just another access point to get behavioral health,” Dr. Mathison said. “Crises in pediatrics are so much more complex” than physical injuries or acute infections, which are the bread and butter of urgent care centers.

“An urgent care center almost implies you’re going to come in for a solution to a simple problem, and it’s going to be done relatively quickly on demand, and it’s just not what the behavioral health centers do,” he said.

Dr. Mathison, who also serves on the executive committee for the section on urgent care at the American Academy of Pediatrics, likened the centers to in-person versions of crisis center hotlines, which offer virtual counseling and talk therapy and may refer individuals to specialists who can provide clinical care over the long term.

Instead, Brighter Days and other centers provide crisis de-escalation for individuals experiencing an exacerbation of a diagnosed mental illness, such a manic episode from bipolar disorder.

“Most places aren’t just going to change their therapy without either contacting their psychiatrist or having psychiatrists on staff,” Dr. Mathison said.

Other challenges at Brighter Days and similar centers include staffing with appropriately trained mental health professionals, given the nationwide shortage of child and adolescent psychiatrists, Dr. Scharf said.

The number of child and adolescent psychiatrists per 100,000 children varies significantly across states. Nationally, the average stands at 14 psychiatrists per 100,000 children, but ranges from as low as 4 to 65, according to the American Academy of Child & Adolescent Psychiatry.

For now, Dr. Scharf said, patients who visit Brighter Days are billed as if they are having a routine pediatric office visit as opposed to a pricier trip to the emergency department. And the center accepts all individuals, regardless of their insurance status.

Ms. Opladen said the urgent care center represents a significant improvement over her experience at the emergency department’s psychiatric triage.

“I saw how awful it was and just the environment,” she said. “The first thing I thought was, what do I need to do to get out of here?”

She said the pediatric mental health urgent care centers are “the complete opposite.” Like Brighter Days, these centers are designed to look more like a pediatrician’s office, with bright welcoming colors and games and toys.

“It’s separated from everything else. There’s a welcome, relaxed space,” she said. “The welcoming feel is just a whole different environment, and that’s really how it should be.”
 

A version of this article first appeared on Medscape.com.

Lauren Opladen remembers the agonizing wait all too well.

At age 17, struggling with paralyzing depression after losing her brother to suicide and her father to amyotrophic lateral sclerosis, her teacher suggested she seek help.

So, she did. But she had to spend 3 days inside an emergency department at the University of Rochester Medical Center in Rochester, New York, where the Comprehensive Psychiatric Emergency Program (CPEP) provides immediate care for youth and adults experiencing psychiatric emergencies.

“We were sleeping on a couch just waiting for all these services, when that’s precious time wasted,” Ms. Opladen said.

Ms. Opladen made it through that dark period, and 5 years later, she is a registered nurse at the same hospital. Every day she walks past a new facility she wishes had existed during her troubled teenage years: An urgent care center for children and adolescents experiencing mental health crises.

Brighter Days Pediatric Mental Health Urgent Care Center, Rochester, New York, opened in July as a walk-in clinic offering rapid assessment, crisis intervention, and short-term stabilization, provides referrals to counseling or psychiatric care. Children and adolescents at immediate risk of harming themselves or others, or who need inpatient care, are sent to CPEP or another emergency department in the area.

Similar walk-in facilities linking youth to longer-term services are popping up in nearly a dozen states, including New York, Ohio, Massachusetts, and Wisconsin. The emerging model of care may offer a crucial bridge between traditional outpatient services and emergency room (ER) visits for some young people experiencing mental health crises.

“We’ve seen a significant increase in the number of children and adolescents presenting to emergency departments with mental health concerns,” said Michael A. Scharf, MD, chief of the Division of Child and Adolescent Psychiatry at the University of Rochester Medical Center, who oversees operations at Brighter Days. “These urgent care centers provide a more appropriate setting for many of these cases, offering specialized care without the often overwhelming environment of an ER.”

The urgency of addressing youth behavioral health has become increasingly apparent. The most recent data from the US Centers for Disease Control and Prevention showed that over a 6-month period in 2020, during the early months of the COVID-19 pandemic, visits to the emergency department for mental health problems spiked 24% among children aged 5-11 years and 31% among 12-17-year-olds compared with the same period in 2019. Between March 2021 and February 2022, such emergency visits rose by 22% for teen girls, while falling by 15% for boys ages 5-12 years and 9% for older boys. Most visits occur during the school year.

But staffing shortages and limited physical space are taxing the capacity of the healthcare system to screen, diagnose, and manage these patients, according to a 2023 report published in Pediatrics.
 

Urgent Care: A Misnomer?

Some in the mental health community said the label “urgent” in these centers’ titles is misleading. Brighter Days and similar facilities do not conduct involuntary holds, administer medication, or handle serious cases like psychotic episodes.

David Mathison, MD, senior vice president of clinic operations at PM Pediatrics, a chain of pediatric urgent care clinics in Maryland, said patients and their families may mistakenly believe the centers will address mental health problems quickly.

“It’s really not urgent behavioral health. It’s really just another access point to get behavioral health,” Dr. Mathison said. “Crises in pediatrics are so much more complex” than physical injuries or acute infections, which are the bread and butter of urgent care centers.

“An urgent care center almost implies you’re going to come in for a solution to a simple problem, and it’s going to be done relatively quickly on demand, and it’s just not what the behavioral health centers do,” he said.

Dr. Mathison, who also serves on the executive committee for the section on urgent care at the American Academy of Pediatrics, likened the centers to in-person versions of crisis center hotlines, which offer virtual counseling and talk therapy and may refer individuals to specialists who can provide clinical care over the long term.

Instead, Brighter Days and other centers provide crisis de-escalation for individuals experiencing an exacerbation of a diagnosed mental illness, such a manic episode from bipolar disorder.

“Most places aren’t just going to change their therapy without either contacting their psychiatrist or having psychiatrists on staff,” Dr. Mathison said.

Other challenges at Brighter Days and similar centers include staffing with appropriately trained mental health professionals, given the nationwide shortage of child and adolescent psychiatrists, Dr. Scharf said.

The number of child and adolescent psychiatrists per 100,000 children varies significantly across states. Nationally, the average stands at 14 psychiatrists per 100,000 children, but ranges from as low as 4 to 65, according to the American Academy of Child & Adolescent Psychiatry.

For now, Dr. Scharf said, patients who visit Brighter Days are billed as if they are having a routine pediatric office visit as opposed to a pricier trip to the emergency department. And the center accepts all individuals, regardless of their insurance status.

Ms. Opladen said the urgent care center represents a significant improvement over her experience at the emergency department’s psychiatric triage.

“I saw how awful it was and just the environment,” she said. “The first thing I thought was, what do I need to do to get out of here?”

She said the pediatric mental health urgent care centers are “the complete opposite.” Like Brighter Days, these centers are designed to look more like a pediatrician’s office, with bright welcoming colors and games and toys.

“It’s separated from everything else. There’s a welcome, relaxed space,” she said. “The welcoming feel is just a whole different environment, and that’s really how it should be.”
 

A version of this article first appeared on Medscape.com.

TOPLINE:

Mental health disorders increase the likelihood of developing chronic diabetic complications and vice versa across all age groups in patients with type 1 diabetes (T1D) or type 2 diabetes (T2D).

METHODOLOGY:

• Understanding the relative timing and association between chronic diabetic complications and mental health disorders may aid in improving diabetes screening and care.
• Researchers used a US national healthcare claims database (data obtained from 2001 to 2018) to analyze individuals with and without T1D and T2D, who had no prior mental health disorder or chronic diabetic complication.
• The onset and presence of chronic diabetic complications and mental health disorders were identified to determine their possible association.
• Individuals were stratified by age: 0-19, 20-39, 40-59, and ≥ 60 years.

TAKEAWAY:

• Researchers analyzed 44,735 patients with T1D (47.5% women) and 152,187 with T2D (46.0% women), who were matched with 356,630 individuals without diabetes (51.8% women).
• The presence of chronic diabetic complications increased the risk for a mental health disorder across all age groups, with the highest risk seen in patients aged ≥ 60 years (hazard ratio [HR], 2.9).
• Similarly, diagnosis of a mental health disorder increased the risk for chronic diabetic complications across all age groups, with the highest risk seen in patients aged 0-19 years (HR, 2.5).
• Patients with T2D had a significantly higher risk for a mental health disorder and a lower risk for chronic diabetic complications than those with T1D across all age groups, except those aged ≥ 60 years.
• The bidirectional association between mental health disorders and chronic diabetic complications was not affected by the diabetes type (P > .05 for all interactions).

IN PRACTICE:

“Clinicians and healthcare systems likely need to increase their focus on MHDs [mental health disorders], and innovative models of care are required to optimize care for both individuals with type 1 diabetes and those with type 2 diabetes,” the authors wrote.

SOURCE:

The study, led by Maya Watanabe, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, was published online in Diabetes Care.

LIMITATIONS:

The study relied on International Classification of Diseases 9th and 10th revision codes, which might have led to misclassification of mental health conditions, chronic diabetes complications, and diabetes type. The data did not capture the symptom onset and severity. The findings may not be generalizable to populations outside the United States.

DISCLOSURES:

The study was supported by the Juvenile Diabetes Research Foundation (now Breakthrough T1D). Some authors reported receiving speaker or expert testimony honoraria and research support, and some declared serving on medical or digital advisory boards or as consultants for various pharmaceutical and medical device companies.

A version of this article first appeared on Medscape.com.

TOPLINE:

Mental health disorders increase the likelihood of developing chronic diabetic complications and vice versa across all age groups in patients with type 1 diabetes (T1D) or type 2 diabetes (T2D).

METHODOLOGY:

• Understanding the relative timing and association between chronic diabetic complications and mental health disorders may aid in improving diabetes screening and care.
• Researchers used a US national healthcare claims database (data obtained from 2001 to 2018) to analyze individuals with and without T1D and T2D, who had no prior mental health disorder or chronic diabetic complication.
• The onset and presence of chronic diabetic complications and mental health disorders were identified to determine their possible association.
• Individuals were stratified by age: 0-19, 20-39, 40-59, and ≥ 60 years.

TAKEAWAY:

• Researchers analyzed 44,735 patients with T1D (47.5% women) and 152,187 with T2D (46.0% women), who were matched with 356,630 individuals without diabetes (51.8% women).
• The presence of chronic diabetic complications increased the risk for a mental health disorder across all age groups, with the highest risk seen in patients aged ≥ 60 years (hazard ratio [HR], 2.9).
• Similarly, diagnosis of a mental health disorder increased the risk for chronic diabetic complications across all age groups, with the highest risk seen in patients aged 0-19 years (HR, 2.5).
• Patients with T2D had a significantly higher risk for a mental health disorder and a lower risk for chronic diabetic complications than those with T1D across all age groups, except those aged ≥ 60 years.
• The bidirectional association between mental health disorders and chronic diabetic complications was not affected by the diabetes type (P > .05 for all interactions).

IN PRACTICE:

“Clinicians and healthcare systems likely need to increase their focus on MHDs [mental health disorders], and innovative models of care are required to optimize care for both individuals with type 1 diabetes and those with type 2 diabetes,” the authors wrote.

SOURCE:

The study, led by Maya Watanabe, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, was published online in Diabetes Care.

LIMITATIONS:

The study relied on International Classification of Diseases 9th and 10th revision codes, which might have led to misclassification of mental health conditions, chronic diabetes complications, and diabetes type. The data did not capture the symptom onset and severity. The findings may not be generalizable to populations outside the United States.

DISCLOSURES:

The study was supported by the Juvenile Diabetes Research Foundation (now Breakthrough T1D). Some authors reported receiving speaker or expert testimony honoraria and research support, and some declared serving on medical or digital advisory boards or as consultants for various pharmaceutical and medical device companies.

A version of this article first appeared on Medscape.com.

TOPLINE:

Mental health disorders increase the likelihood of developing chronic diabetic complications and vice versa across all age groups in patients with type 1 diabetes (T1D) or type 2 diabetes (T2D).

METHODOLOGY:

• Understanding the relative timing and association between chronic diabetic complications and mental health disorders may aid in improving diabetes screening and care.
• Researchers used a US national healthcare claims database (data obtained from 2001 to 2018) to analyze individuals with and without T1D and T2D, who had no prior mental health disorder or chronic diabetic complication.
• The onset and presence of chronic diabetic complications and mental health disorders were identified to determine their possible association.
• Individuals were stratified by age: 0-19, 20-39, 40-59, and ≥ 60 years.

TAKEAWAY:

• Researchers analyzed 44,735 patients with T1D (47.5% women) and 152,187 with T2D (46.0% women), who were matched with 356,630 individuals without diabetes (51.8% women).
• The presence of chronic diabetic complications increased the risk for a mental health disorder across all age groups, with the highest risk seen in patients aged ≥ 60 years (hazard ratio [HR], 2.9).
• Similarly, diagnosis of a mental health disorder increased the risk for chronic diabetic complications across all age groups, with the highest risk seen in patients aged 0-19 years (HR, 2.5).
• Patients with T2D had a significantly higher risk for a mental health disorder and a lower risk for chronic diabetic complications than those with T1D across all age groups, except those aged ≥ 60 years.
• The bidirectional association between mental health disorders and chronic diabetic complications was not affected by the diabetes type (P > .05 for all interactions).

IN PRACTICE:

“Clinicians and healthcare systems likely need to increase their focus on MHDs [mental health disorders], and innovative models of care are required to optimize care for both individuals with type 1 diabetes and those with type 2 diabetes,” the authors wrote.

SOURCE:

The study, led by Maya Watanabe, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, was published online in Diabetes Care.

LIMITATIONS:

The study relied on International Classification of Diseases 9th and 10th revision codes, which might have led to misclassification of mental health conditions, chronic diabetes complications, and diabetes type. The data did not capture the symptom onset and severity. The findings may not be generalizable to populations outside the United States.

DISCLOSURES:

The study was supported by the Juvenile Diabetes Research Foundation (now Breakthrough T1D). Some authors reported receiving speaker or expert testimony honoraria and research support, and some declared serving on medical or digital advisory boards or as consultants for various pharmaceutical and medical device companies.

A version of this article first appeared on Medscape.com.

Editor's Note: This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Editor's Note: This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Editor's Note: This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

It is a great day when a patient shows up at clinical appointment already motivated to make lifestyle behavior changes. Often, they have been inspired by health information they consumed elsewhere, such as from a book, movie, documentary, TV show, a friend, or something out in the community.

Currently, one of the more public representations of health and longevity promotion is Blue Zones. The organization, named for specific areas of the world — the so-called blue zones, where people experience less disease and live longer lives — has created considerable public awareness for healthy living. Today, there are more than 75 Blue Zones Project communities across the United States, where community leaders, businesses, organizations, and citizens collaborate to make healthier choices the easier choices. A recent Netflix special, Live to 100: Secrets of the Blue Zones, further propelled blue zones into the public consciousness.

For clinicians trained in lifestyle medicine, Blue Zones’ consumer awareness is an opportunity. There is considerable crossover between the lifestyle habits advocated by Blue Zones, known as the Power9, and the six pillars of lifestyle medicine. The Blue Zones emphasis on “plant-slant” diet, natural movement, purpose and contribution, downshifting, and family and community intersect with the lifestyle medicine pillars of whole-food, plant-predominant eating patterns, regular physical activity, stress management, restorative sleep, and positive social connections. Both Blue Zones and lifestyle medicine share a goal of creating healthier and stronger individuals and communities.

For those reasons, it made perfect sense that Blue Zones and the American College of Lifestyle Medicine (ACLM) recently announced a partnership to synergize both organizations’ strengths and resources. Among other things, the collaboration will establish a new certification status of Blue Zones–Certified Physician or Blue Zones–Certified Healthcare Professional, available in 2025 exclusively to clinicians who already are or become certified in lifestyle medicine.

Because of Blue Zones’ considerable consumer awareness, physicians and other health professionals who earn the certification will stand out to potential patients as clinicians with the training and knowledge to help them make sustainable lifestyle behavior changes. A challenging part of any clinician’s job is educating and convincing patients on the proven health benefits of lifestyle behavior change within the time restraints of a routine clinical visit. Patients familiar with Blue Zones are more likely to arrive already interested in changing lifestyle behavior, and clinicians should have the skills to help them achieve their goals.

In addition, community infrastructure developed through Blue Zones that supports healthful lifestyle choices is significant for patients. Lack of resources in their home, work, and community environments is a common obstacle that patients cite when discussing lifestyle change with a clinician. Bicycle lanes for commuting, parks with exercise equipment, accessible healthy food options, and community events to facilitate positive social connections enhance lifestyle-medicine prescriptions. Workplaces, restaurants, places of worship, and grocery stores are examples of community stakeholders that collaborate in Blue Zones communities to promote healthy lifestyle decisions. Although lifestyle medicine clinicians can and do identify creative ways to support patients in communities without strong healthy choice infrastructure, the Blue Zones road map is a welcome companion.

The timing is right for this synthesis of Blue Zones and lifestyle medicine. As consumer interest in Blue Zones has risen, so has clinician interest in evidence-based lifestyle medicine. Since certification in lifestyle medicine began in 2017, almost 6700 physicians and other health professionals have become certified worldwide. More than 43,000 health care professionals have registered for ACLM’s complimentary lifestyle and food-as-medicine courses highlighted by the White House Conference on Hunger, Nutrition, and Health. 

What if more patients came to us motivated to make lifestyle changes because of awareness infused in their work and supported in their surrounding community? Matching lifestyle medicine certification with Blue Zone communities equips clinicians to help these patients achieve what they really want: to live longer and better.

Dr. Collings is Director of Lifestyle Medicine, Silicon Valley Medical Development, and Past President, American College of Lifestyle Medicine, Mountain View, California. She has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

It is a great day when a patient shows up at clinical appointment already motivated to make lifestyle behavior changes. Often, they have been inspired by health information they consumed elsewhere, such as from a book, movie, documentary, TV show, a friend, or something out in the community.

Currently, one of the more public representations of health and longevity promotion is Blue Zones. The organization, named for specific areas of the world — the so-called blue zones, where people experience less disease and live longer lives — has created considerable public awareness for healthy living. Today, there are more than 75 Blue Zones Project communities across the United States, where community leaders, businesses, organizations, and citizens collaborate to make healthier choices the easier choices. A recent Netflix special, Live to 100: Secrets of the Blue Zones, further propelled blue zones into the public consciousness.

For clinicians trained in lifestyle medicine, Blue Zones’ consumer awareness is an opportunity. There is considerable crossover between the lifestyle habits advocated by Blue Zones, known as the Power9, and the six pillars of lifestyle medicine. The Blue Zones emphasis on “plant-slant” diet, natural movement, purpose and contribution, downshifting, and family and community intersect with the lifestyle medicine pillars of whole-food, plant-predominant eating patterns, regular physical activity, stress management, restorative sleep, and positive social connections. Both Blue Zones and lifestyle medicine share a goal of creating healthier and stronger individuals and communities.

For those reasons, it made perfect sense that Blue Zones and the American College of Lifestyle Medicine (ACLM) recently announced a partnership to synergize both organizations’ strengths and resources. Among other things, the collaboration will establish a new certification status of Blue Zones–Certified Physician or Blue Zones–Certified Healthcare Professional, available in 2025 exclusively to clinicians who already are or become certified in lifestyle medicine.

Because of Blue Zones’ considerable consumer awareness, physicians and other health professionals who earn the certification will stand out to potential patients as clinicians with the training and knowledge to help them make sustainable lifestyle behavior changes. A challenging part of any clinician’s job is educating and convincing patients on the proven health benefits of lifestyle behavior change within the time restraints of a routine clinical visit. Patients familiar with Blue Zones are more likely to arrive already interested in changing lifestyle behavior, and clinicians should have the skills to help them achieve their goals.

In addition, community infrastructure developed through Blue Zones that supports healthful lifestyle choices is significant for patients. Lack of resources in their home, work, and community environments is a common obstacle that patients cite when discussing lifestyle change with a clinician. Bicycle lanes for commuting, parks with exercise equipment, accessible healthy food options, and community events to facilitate positive social connections enhance lifestyle-medicine prescriptions. Workplaces, restaurants, places of worship, and grocery stores are examples of community stakeholders that collaborate in Blue Zones communities to promote healthy lifestyle decisions. Although lifestyle medicine clinicians can and do identify creative ways to support patients in communities without strong healthy choice infrastructure, the Blue Zones road map is a welcome companion.

The timing is right for this synthesis of Blue Zones and lifestyle medicine. As consumer interest in Blue Zones has risen, so has clinician interest in evidence-based lifestyle medicine. Since certification in lifestyle medicine began in 2017, almost 6700 physicians and other health professionals have become certified worldwide. More than 43,000 health care professionals have registered for ACLM’s complimentary lifestyle and food-as-medicine courses highlighted by the White House Conference on Hunger, Nutrition, and Health. 

What if more patients came to us motivated to make lifestyle changes because of awareness infused in their work and supported in their surrounding community? Matching lifestyle medicine certification with Blue Zone communities equips clinicians to help these patients achieve what they really want: to live longer and better.

Dr. Collings is Director of Lifestyle Medicine, Silicon Valley Medical Development, and Past President, American College of Lifestyle Medicine, Mountain View, California. She has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

It is a great day when a patient shows up at clinical appointment already motivated to make lifestyle behavior changes. Often, they have been inspired by health information they consumed elsewhere, such as from a book, movie, documentary, TV show, a friend, or something out in the community.

Currently, one of the more public representations of health and longevity promotion is Blue Zones. The organization, named for specific areas of the world — the so-called blue zones, where people experience less disease and live longer lives — has created considerable public awareness for healthy living. Today, there are more than 75 Blue Zones Project communities across the United States, where community leaders, businesses, organizations, and citizens collaborate to make healthier choices the easier choices. A recent Netflix special, Live to 100: Secrets of the Blue Zones, further propelled blue zones into the public consciousness.

For clinicians trained in lifestyle medicine, Blue Zones’ consumer awareness is an opportunity. There is considerable crossover between the lifestyle habits advocated by Blue Zones, known as the Power9, and the six pillars of lifestyle medicine. The Blue Zones emphasis on “plant-slant” diet, natural movement, purpose and contribution, downshifting, and family and community intersect with the lifestyle medicine pillars of whole-food, plant-predominant eating patterns, regular physical activity, stress management, restorative sleep, and positive social connections. Both Blue Zones and lifestyle medicine share a goal of creating healthier and stronger individuals and communities.

For those reasons, it made perfect sense that Blue Zones and the American College of Lifestyle Medicine (ACLM) recently announced a partnership to synergize both organizations’ strengths and resources. Among other things, the collaboration will establish a new certification status of Blue Zones–Certified Physician or Blue Zones–Certified Healthcare Professional, available in 2025 exclusively to clinicians who already are or become certified in lifestyle medicine.

Because of Blue Zones’ considerable consumer awareness, physicians and other health professionals who earn the certification will stand out to potential patients as clinicians with the training and knowledge to help them make sustainable lifestyle behavior changes. A challenging part of any clinician’s job is educating and convincing patients on the proven health benefits of lifestyle behavior change within the time restraints of a routine clinical visit. Patients familiar with Blue Zones are more likely to arrive already interested in changing lifestyle behavior, and clinicians should have the skills to help them achieve their goals.

In addition, community infrastructure developed through Blue Zones that supports healthful lifestyle choices is significant for patients. Lack of resources in their home, work, and community environments is a common obstacle that patients cite when discussing lifestyle change with a clinician. Bicycle lanes for commuting, parks with exercise equipment, accessible healthy food options, and community events to facilitate positive social connections enhance lifestyle-medicine prescriptions. Workplaces, restaurants, places of worship, and grocery stores are examples of community stakeholders that collaborate in Blue Zones communities to promote healthy lifestyle decisions. Although lifestyle medicine clinicians can and do identify creative ways to support patients in communities without strong healthy choice infrastructure, the Blue Zones road map is a welcome companion.

The timing is right for this synthesis of Blue Zones and lifestyle medicine. As consumer interest in Blue Zones has risen, so has clinician interest in evidence-based lifestyle medicine. Since certification in lifestyle medicine began in 2017, almost 6700 physicians and other health professionals have become certified worldwide. More than 43,000 health care professionals have registered for ACLM’s complimentary lifestyle and food-as-medicine courses highlighted by the White House Conference on Hunger, Nutrition, and Health. 

What if more patients came to us motivated to make lifestyle changes because of awareness infused in their work and supported in their surrounding community? Matching lifestyle medicine certification with Blue Zone communities equips clinicians to help these patients achieve what they really want: to live longer and better.

Dr. Collings is Director of Lifestyle Medicine, Silicon Valley Medical Development, and Past President, American College of Lifestyle Medicine, Mountain View, California. She has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Eight commonly used antidepressants have been ranked by their weight gain potential. 

Results of a large observational study showed small differences in short- and long-term weight change in patients prescribed one of eight antidepressants, with bupropion associated with the lowest weight gain and escitalopram, paroxetine, and duloxetine associated with the greatest. 

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with those taking sertraline, which was used as a comparator. 

Investigators noted that the more clinicians and patients know about how a particular antidepressant may affect patients’ weight, the better informed they can be about which antidepressants to prescribe. 

“Patients and their clinicians often have several options when starting an antidepressant for the first time. This study provides important real-world evidence regarding the amount of weight gain that should be expected after starting some of the most common antidepressants,” lead author Joshua Petimar, ScD, assistant professor of population medicine in the Harvard Pilgrim Health Care Institute at Harvard Medical School, Boston, said in a press release. 

The findings were published online in Annals of Internal Medicine. 


 

Real-World Data

Though weight gain is a commonly reported side effect of antidepressant use and may lead to medication nonadherence and worse outcomes, there is a lack of real-world data about weight change across specific medications. 

Investigators used electronic health records from eight health care systems across the United States spanning from 2010 to 2019. The analysis included information on 183,118 adults aged 20-80 years who were new users of one of eight common first-line antidepressants. Investigators measured their weight at baseline and at 6, 12, and 24 months after initiation to estimate intention-to-treat (ITT) effects of weight change.

At baseline, participants were randomly assigned to begin sertraline, citalopram, escitalopram, fluoxetine, paroxetine, bupropion, duloxetine, or venlafaxine. 

The most common antidepressants prescribed were sertraline, citalopram, and bupropion. Approximately 36% of participants had a diagnosis of depression, and 39% were diagnosed with anxiety.

Among selective serotonin reuptake inhibitors (SSRIs), escitalopram and paroxetine were associated with the greatest 6-month weight gain, whereas bupropion was associated with the least weight gain across all analyses.

Using sertraline as a comparator, 6-month weight change was lower for bupropion (difference, 0.22 kg) and higher for escitalopram (difference, 0.41 kg), duloxetine (difference, 0.34 kg), paroxetine (difference, 0.37 kg), and venlafaxine (difference, 0.17 kg).

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with sertraline users.

Investigators noted little difference in adherence levels between medications during the study except at 6 months, when it was higher for those who took bupropion (41%) than for those taking other antidepressants (28%-36%).

The study included data only on prescriptions and investigators could not verify whether the medications were dispensed or taken as prescribed. Other limitations included missing weight information because most patients did not encounter the health system at exactly 6, 12, and 24 months; only 15%-30% had weight measurements in those months. 

Finally, the low adherence rates made it difficult to attribute relative weight change at the 12- and 24-month time points to the specific medications of interest.

“Clinicians and patients could consider these differences when making decisions about specific antidepressants, especially given the complex relationships of obesity and depression with health, quality of life, and stigma,” the authors wrote. 

The study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases. Disclosures are noted in the original article. 

A version of this article appeared on Medscape.com.

Eight commonly used antidepressants have been ranked by their weight gain potential. 

Results of a large observational study showed small differences in short- and long-term weight change in patients prescribed one of eight antidepressants, with bupropion associated with the lowest weight gain and escitalopram, paroxetine, and duloxetine associated with the greatest. 

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with those taking sertraline, which was used as a comparator. 

Investigators noted that the more clinicians and patients know about how a particular antidepressant may affect patients’ weight, the better informed they can be about which antidepressants to prescribe. 

“Patients and their clinicians often have several options when starting an antidepressant for the first time. This study provides important real-world evidence regarding the amount of weight gain that should be expected after starting some of the most common antidepressants,” lead author Joshua Petimar, ScD, assistant professor of population medicine in the Harvard Pilgrim Health Care Institute at Harvard Medical School, Boston, said in a press release. 

The findings were published online in Annals of Internal Medicine. 


 

Real-World Data

Though weight gain is a commonly reported side effect of antidepressant use and may lead to medication nonadherence and worse outcomes, there is a lack of real-world data about weight change across specific medications. 

Investigators used electronic health records from eight health care systems across the United States spanning from 2010 to 2019. The analysis included information on 183,118 adults aged 20-80 years who were new users of one of eight common first-line antidepressants. Investigators measured their weight at baseline and at 6, 12, and 24 months after initiation to estimate intention-to-treat (ITT) effects of weight change.

At baseline, participants were randomly assigned to begin sertraline, citalopram, escitalopram, fluoxetine, paroxetine, bupropion, duloxetine, or venlafaxine. 

The most common antidepressants prescribed were sertraline, citalopram, and bupropion. Approximately 36% of participants had a diagnosis of depression, and 39% were diagnosed with anxiety.

Among selective serotonin reuptake inhibitors (SSRIs), escitalopram and paroxetine were associated with the greatest 6-month weight gain, whereas bupropion was associated with the least weight gain across all analyses.

Using sertraline as a comparator, 6-month weight change was lower for bupropion (difference, 0.22 kg) and higher for escitalopram (difference, 0.41 kg), duloxetine (difference, 0.34 kg), paroxetine (difference, 0.37 kg), and venlafaxine (difference, 0.17 kg).

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with sertraline users.

Investigators noted little difference in adherence levels between medications during the study except at 6 months, when it was higher for those who took bupropion (41%) than for those taking other antidepressants (28%-36%).

The study included data only on prescriptions and investigators could not verify whether the medications were dispensed or taken as prescribed. Other limitations included missing weight information because most patients did not encounter the health system at exactly 6, 12, and 24 months; only 15%-30% had weight measurements in those months. 

Finally, the low adherence rates made it difficult to attribute relative weight change at the 12- and 24-month time points to the specific medications of interest.

“Clinicians and patients could consider these differences when making decisions about specific antidepressants, especially given the complex relationships of obesity and depression with health, quality of life, and stigma,” the authors wrote. 

The study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases. Disclosures are noted in the original article. 

A version of this article appeared on Medscape.com.

Eight commonly used antidepressants have been ranked by their weight gain potential. 

Results of a large observational study showed small differences in short- and long-term weight change in patients prescribed one of eight antidepressants, with bupropion associated with the lowest weight gain and escitalopram, paroxetine, and duloxetine associated with the greatest. 

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with those taking sertraline, which was used as a comparator. 

Investigators noted that the more clinicians and patients know about how a particular antidepressant may affect patients’ weight, the better informed they can be about which antidepressants to prescribe. 

“Patients and their clinicians often have several options when starting an antidepressant for the first time. This study provides important real-world evidence regarding the amount of weight gain that should be expected after starting some of the most common antidepressants,” lead author Joshua Petimar, ScD, assistant professor of population medicine in the Harvard Pilgrim Health Care Institute at Harvard Medical School, Boston, said in a press release. 

The findings were published online in Annals of Internal Medicine. 


 

Real-World Data

Though weight gain is a commonly reported side effect of antidepressant use and may lead to medication nonadherence and worse outcomes, there is a lack of real-world data about weight change across specific medications. 

Investigators used electronic health records from eight health care systems across the United States spanning from 2010 to 2019. The analysis included information on 183,118 adults aged 20-80 years who were new users of one of eight common first-line antidepressants. Investigators measured their weight at baseline and at 6, 12, and 24 months after initiation to estimate intention-to-treat (ITT) effects of weight change.

At baseline, participants were randomly assigned to begin sertraline, citalopram, escitalopram, fluoxetine, paroxetine, bupropion, duloxetine, or venlafaxine. 

The most common antidepressants prescribed were sertraline, citalopram, and bupropion. Approximately 36% of participants had a diagnosis of depression, and 39% were diagnosed with anxiety.

Among selective serotonin reuptake inhibitors (SSRIs), escitalopram and paroxetine were associated with the greatest 6-month weight gain, whereas bupropion was associated with the least weight gain across all analyses.

Using sertraline as a comparator, 6-month weight change was lower for bupropion (difference, 0.22 kg) and higher for escitalopram (difference, 0.41 kg), duloxetine (difference, 0.34 kg), paroxetine (difference, 0.37 kg), and venlafaxine (difference, 0.17 kg).

Escitalopram, paroxetine, and duloxetine users were 10%-15% more likely to gain at least 5% of their baseline weight compared with sertraline users.

Investigators noted little difference in adherence levels between medications during the study except at 6 months, when it was higher for those who took bupropion (41%) than for those taking other antidepressants (28%-36%).

The study included data only on prescriptions and investigators could not verify whether the medications were dispensed or taken as prescribed. Other limitations included missing weight information because most patients did not encounter the health system at exactly 6, 12, and 24 months; only 15%-30% had weight measurements in those months. 

Finally, the low adherence rates made it difficult to attribute relative weight change at the 12- and 24-month time points to the specific medications of interest.

“Clinicians and patients could consider these differences when making decisions about specific antidepressants, especially given the complex relationships of obesity and depression with health, quality of life, and stigma,” the authors wrote. 

The study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases. Disclosures are noted in the original article. 

A version of this article appeared on Medscape.com.

TOPLINE:

A study found that patients who die by suicide within a year after discharge from inpatient mental health care are less likely to have primary care consultation in the first 2 weeks, highlighting a gap during the high-risk transition period.

METHODOLOGY:

• Researchers used a nested case-control study design, analyzing the records of 613 people who died by suicide within a year of being discharged from an inpatient psychiatric facility in England between 2001 and 2019.
• Of these, 93 (15.4%) died within 2 weeks of discharge.
• Each patient was matched with up to 20 control individuals who were discharged at a similar time but were living.
• Researchers evaluated primary care consultations after discharge.

TAKEAWAY:

• People who died by suicide within a year were less likely to have had a primary care consultation within 2 weeks of discharge (adjusted odds ratio [aOR], 0.61; P = .01).
• Those who died by suicide had higher odds for a consultation in the week preceding their death (aOR, 1.71; P < .001) and the prescription of three or more psychotropic medications (aOR, 1.73; P < .001).
• Evidence of discharge communication between the facility and primary care clinician was infrequent, highlighting a gap in continuity of care.
• Approximately 40% of people who died within 2 weeks of discharge had a documented visit with a primary care clinician during that period.

IN PRACTICE:

“Primary care clinicians have opportunities to intervene and should prioritize patients experiencing transition from inpatient care,” the authors wrote.

SOURCE:

The study was led by Rebecca Musgrove, PhD, of the Centre for Mental Health and Safety at The University of Manchester in England, and published online on June 12 in BJGP Open.

LIMITATIONS:

The study’s reliance on individuals registered with the Clinical Practice Research Datalink may have caused some suicide cases to be excluded, limiting generalizability. Lack of linked up-to-date mental health records may have led to the omission of significant post-discharge care data. Incomplete discharge documentation may undercount informational continuity, affecting multivariable analysis.

DISCLOSURES:

The study was supported by the National Institute of Health and Care Research. Some authors declared serving as members of advisory groups and receiving grants and personal fees from various sources.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

A study found that patients who die by suicide within a year after discharge from inpatient mental health care are less likely to have primary care consultation in the first 2 weeks, highlighting a gap during the high-risk transition period.

METHODOLOGY:

• Researchers used a nested case-control study design, analyzing the records of 613 people who died by suicide within a year of being discharged from an inpatient psychiatric facility in England between 2001 and 2019.
• Of these, 93 (15.4%) died within 2 weeks of discharge.
• Each patient was matched with up to 20 control individuals who were discharged at a similar time but were living.
• Researchers evaluated primary care consultations after discharge.

TAKEAWAY:

• People who died by suicide within a year were less likely to have had a primary care consultation within 2 weeks of discharge (adjusted odds ratio [aOR], 0.61; P = .01).
• Those who died by suicide had higher odds for a consultation in the week preceding their death (aOR, 1.71; P < .001) and the prescription of three or more psychotropic medications (aOR, 1.73; P < .001).
• Evidence of discharge communication between the facility and primary care clinician was infrequent, highlighting a gap in continuity of care.
• Approximately 40% of people who died within 2 weeks of discharge had a documented visit with a primary care clinician during that period.

IN PRACTICE:

“Primary care clinicians have opportunities to intervene and should prioritize patients experiencing transition from inpatient care,” the authors wrote.

SOURCE:

The study was led by Rebecca Musgrove, PhD, of the Centre for Mental Health and Safety at The University of Manchester in England, and published online on June 12 in BJGP Open.

LIMITATIONS:

The study’s reliance on individuals registered with the Clinical Practice Research Datalink may have caused some suicide cases to be excluded, limiting generalizability. Lack of linked up-to-date mental health records may have led to the omission of significant post-discharge care data. Incomplete discharge documentation may undercount informational continuity, affecting multivariable analysis.

DISCLOSURES:

The study was supported by the National Institute of Health and Care Research. Some authors declared serving as members of advisory groups and receiving grants and personal fees from various sources.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

A study found that patients who die by suicide within a year after discharge from inpatient mental health care are less likely to have primary care consultation in the first 2 weeks, highlighting a gap during the high-risk transition period.

METHODOLOGY:

• Researchers used a nested case-control study design, analyzing the records of 613 people who died by suicide within a year of being discharged from an inpatient psychiatric facility in England between 2001 and 2019.
• Of these, 93 (15.4%) died within 2 weeks of discharge.
• Each patient was matched with up to 20 control individuals who were discharged at a similar time but were living.
• Researchers evaluated primary care consultations after discharge.

TAKEAWAY:

• People who died by suicide within a year were less likely to have had a primary care consultation within 2 weeks of discharge (adjusted odds ratio [aOR], 0.61; P = .01).
• Those who died by suicide had higher odds for a consultation in the week preceding their death (aOR, 1.71; P < .001) and the prescription of three or more psychotropic medications (aOR, 1.73; P < .001).
• Evidence of discharge communication between the facility and primary care clinician was infrequent, highlighting a gap in continuity of care.
• Approximately 40% of people who died within 2 weeks of discharge had a documented visit with a primary care clinician during that period.

IN PRACTICE:

“Primary care clinicians have opportunities to intervene and should prioritize patients experiencing transition from inpatient care,” the authors wrote.

SOURCE:

The study was led by Rebecca Musgrove, PhD, of the Centre for Mental Health and Safety at The University of Manchester in England, and published online on June 12 in BJGP Open.

LIMITATIONS:

The study’s reliance on individuals registered with the Clinical Practice Research Datalink may have caused some suicide cases to be excluded, limiting generalizability. Lack of linked up-to-date mental health records may have led to the omission of significant post-discharge care data. Incomplete discharge documentation may undercount informational continuity, affecting multivariable analysis.

DISCLOSURES:

The study was supported by the National Institute of Health and Care Research. Some authors declared serving as members of advisory groups and receiving grants and personal fees from various sources.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Adults older than 50 years who report experiencing persistently high levels of loneliness have a 56% increased risk for stroke, a new study showed.

The increased stroke risk did not apply to individuals who reported experiencing situational loneliness, a finding that investigators believe bolsters the hypothesis that chronic loneliness is driving the association.

“Our findings suggest that individuals who experience chronic loneliness are at higher risk for incident stroke,” lead investigator Yenee Soh, ScD, research associate of social and behavioral sciences in the Harvard T.H. Chan School of Public Health, Boston, told this news organization. “It is important to routinely assess loneliness, as the consequences may be worse if unidentified and/or ignored.”

The findings were published online in eClinicalMedicine.
 

Significant, Chronic Health Consequences

Exacerbated by the COVID-19 pandemic, loneliness is at an all-time high. A 2023 Surgeon General’s report highlighted the fact that loneliness and social isolation are linked to significant and chronic health consequences.

Previous research has linked loneliness to cardiovascular disease, yet few studies have examined the association between loneliness and stroke risk. The current study is one of the first to examine the association between changes in loneliness and stroke risk over time.

Using data from the 2006-2018 Health and Retirement Study, researchers assessed the link between loneliness and incident stroke over time. Between 2006 and 2008, 12,161 study participants, who were all older than 50 years with no history of stroke, responded to questions from the Revised UCLA Loneliness Scale. From these responses, researchers created summary loneliness scores.

Four years later, from 2010 to 2012, the 8936 remaining study participants responded to the same 20 questions again. Based on loneliness scores across the two time points, participants were divided into four groups:

• Consistently low (those who scored low on the loneliness scale at both baseline and follow-up).
• Remitting (those who scored high at baseline and low at follow-up).
• Recent onset (those who scored low at baseline and high at follow-up).
• Consistently high (those who scored high at both baseline and follow-up).

Incident stroke was determined by participant report and medical record data.

Among participants whose loneliness was measured at baseline only, 1237 strokes occurred during the 2006-2018 follow-up period. Among those who provided two loneliness assessments over time, 601 strokes occurred during the follow-up period.

Even after adjusting for social isolation, depressive symptoms, physical activity, body mass index, and other health conditions, investigators found that participants who reported being lonely at baseline only had a 25% increased stroke risk, compared with those who did not report being lonely at baseline (hazard ratio [HR], 1.25; 95% confidence interval (CI), 1.06-1.47).

Participants who reported having consistently high loneliness across both time points had a 56% increased risk for incident stroke vs those who did not report loneliness at both time points after adjusting for social isolation and depression (HR, 1.56; 95% CI, 1.11-2.18).

The researchers did not investigate any of the underlying issues that may contribute to the association between loneliness and stroke risk, but speculated there may be physiological factors at play. These could include inflammation caused by increased hypothalamic pituitary-adrenocortical activity, behavioral factors such as poor medication adherence, smoking and/or alcohol use, and psychosocial issues.

Those who experience chronic loneliness may represent individuals that are unable to develop or maintain satisfying social relationships, which may result in longer-term interpersonal difficulties, Dr. Soh noted.

“Since loneliness is a highly subjective experience, seeking help to address and intervene to address a patient’s specific personal needs is important. It’s important to distinguish loneliness from social isolation,” said Dr. Soh.

She added that “by screening for loneliness and providing care or referring patients to relevant behavioral healthcare providers, clinicians can play a crucial role in addressing loneliness and its associated health risks early on to help reduce the population burden of loneliness.”
 

Progressive Research

Commenting on the findings for this news organization, Elaine Jones, MD, medical director of Access TeleCare, who was not involved in the research, applauded the investigators for “advancing the topic by looking at the chronicity aspect of loneliness.”

She said more research is needed to investigate loneliness as a stroke risk factor and noted that there may be something inherently different among respondents who reported loneliness at both study time points.

“Personality types may play a role here. We know people with positive attitudes and outlooks can do better in challenging health situations than people who are negative in their attitudes, regardless of depression. Perhaps those who feel lonely initially decided to do something about it and join groups, take up a hobby, or re-engage with family or friends. Perhaps the people who are chronically lonely don’t, or can’t, do this,” Dr. Jones said.

Chronic loneliness can cause stress, she added, “and we know that stress chemicals and hormones can be harmful to health over long durations of time.”

The study was funded by the National Institute on Aging. There were no conflicts of interest noted.

A version of this article first appeared on Medscape.com.

Adults older than 50 years who report experiencing persistently high levels of loneliness have a 56% increased risk for stroke, a new study showed.

The increased stroke risk did not apply to individuals who reported experiencing situational loneliness, a finding that investigators believe bolsters the hypothesis that chronic loneliness is driving the association.

“Our findings suggest that individuals who experience chronic loneliness are at higher risk for incident stroke,” lead investigator Yenee Soh, ScD, research associate of social and behavioral sciences in the Harvard T.H. Chan School of Public Health, Boston, told this news organization. “It is important to routinely assess loneliness, as the consequences may be worse if unidentified and/or ignored.”

The findings were published online in eClinicalMedicine.
 

Significant, Chronic Health Consequences

Exacerbated by the COVID-19 pandemic, loneliness is at an all-time high. A 2023 Surgeon General’s report highlighted the fact that loneliness and social isolation are linked to significant and chronic health consequences.

Previous research has linked loneliness to cardiovascular disease, yet few studies have examined the association between loneliness and stroke risk. The current study is one of the first to examine the association between changes in loneliness and stroke risk over time.

Using data from the 2006-2018 Health and Retirement Study, researchers assessed the link between loneliness and incident stroke over time. Between 2006 and 2008, 12,161 study participants, who were all older than 50 years with no history of stroke, responded to questions from the Revised UCLA Loneliness Scale. From these responses, researchers created summary loneliness scores.

Four years later, from 2010 to 2012, the 8936 remaining study participants responded to the same 20 questions again. Based on loneliness scores across the two time points, participants were divided into four groups:

• Consistently low (those who scored low on the loneliness scale at both baseline and follow-up).
• Remitting (those who scored high at baseline and low at follow-up).
• Recent onset (those who scored low at baseline and high at follow-up).
• Consistently high (those who scored high at both baseline and follow-up).

Incident stroke was determined by participant report and medical record data.

Among participants whose loneliness was measured at baseline only, 1237 strokes occurred during the 2006-2018 follow-up period. Among those who provided two loneliness assessments over time, 601 strokes occurred during the follow-up period.

Even after adjusting for social isolation, depressive symptoms, physical activity, body mass index, and other health conditions, investigators found that participants who reported being lonely at baseline only had a 25% increased stroke risk, compared with those who did not report being lonely at baseline (hazard ratio [HR], 1.25; 95% confidence interval (CI), 1.06-1.47).

Participants who reported having consistently high loneliness across both time points had a 56% increased risk for incident stroke vs those who did not report loneliness at both time points after adjusting for social isolation and depression (HR, 1.56; 95% CI, 1.11-2.18).

The researchers did not investigate any of the underlying issues that may contribute to the association between loneliness and stroke risk, but speculated there may be physiological factors at play. These could include inflammation caused by increased hypothalamic pituitary-adrenocortical activity, behavioral factors such as poor medication adherence, smoking and/or alcohol use, and psychosocial issues.

Those who experience chronic loneliness may represent individuals that are unable to develop or maintain satisfying social relationships, which may result in longer-term interpersonal difficulties, Dr. Soh noted.

“Since loneliness is a highly subjective experience, seeking help to address and intervene to address a patient’s specific personal needs is important. It’s important to distinguish loneliness from social isolation,” said Dr. Soh.

She added that “by screening for loneliness and providing care or referring patients to relevant behavioral healthcare providers, clinicians can play a crucial role in addressing loneliness and its associated health risks early on to help reduce the population burden of loneliness.”
 

Progressive Research

Commenting on the findings for this news organization, Elaine Jones, MD, medical director of Access TeleCare, who was not involved in the research, applauded the investigators for “advancing the topic by looking at the chronicity aspect of loneliness.”

She said more research is needed to investigate loneliness as a stroke risk factor and noted that there may be something inherently different among respondents who reported loneliness at both study time points.

“Personality types may play a role here. We know people with positive attitudes and outlooks can do better in challenging health situations than people who are negative in their attitudes, regardless of depression. Perhaps those who feel lonely initially decided to do something about it and join groups, take up a hobby, or re-engage with family or friends. Perhaps the people who are chronically lonely don’t, or can’t, do this,” Dr. Jones said.

Chronic loneliness can cause stress, she added, “and we know that stress chemicals and hormones can be harmful to health over long durations of time.”

The study was funded by the National Institute on Aging. There were no conflicts of interest noted.

A version of this article first appeared on Medscape.com.

Adults older than 50 years who report experiencing persistently high levels of loneliness have a 56% increased risk for stroke, a new study showed.

The increased stroke risk did not apply to individuals who reported experiencing situational loneliness, a finding that investigators believe bolsters the hypothesis that chronic loneliness is driving the association.

“Our findings suggest that individuals who experience chronic loneliness are at higher risk for incident stroke,” lead investigator Yenee Soh, ScD, research associate of social and behavioral sciences in the Harvard T.H. Chan School of Public Health, Boston, told this news organization. “It is important to routinely assess loneliness, as the consequences may be worse if unidentified and/or ignored.”

The findings were published online in eClinicalMedicine.
 

Significant, Chronic Health Consequences

Exacerbated by the COVID-19 pandemic, loneliness is at an all-time high. A 2023 Surgeon General’s report highlighted the fact that loneliness and social isolation are linked to significant and chronic health consequences.

Previous research has linked loneliness to cardiovascular disease, yet few studies have examined the association between loneliness and stroke risk. The current study is one of the first to examine the association between changes in loneliness and stroke risk over time.

Using data from the 2006-2018 Health and Retirement Study, researchers assessed the link between loneliness and incident stroke over time. Between 2006 and 2008, 12,161 study participants, who were all older than 50 years with no history of stroke, responded to questions from the Revised UCLA Loneliness Scale. From these responses, researchers created summary loneliness scores.

Four years later, from 2010 to 2012, the 8936 remaining study participants responded to the same 20 questions again. Based on loneliness scores across the two time points, participants were divided into four groups:

• Consistently low (those who scored low on the loneliness scale at both baseline and follow-up).
• Remitting (those who scored high at baseline and low at follow-up).
• Recent onset (those who scored low at baseline and high at follow-up).
• Consistently high (those who scored high at both baseline and follow-up).

Incident stroke was determined by participant report and medical record data.

Among participants whose loneliness was measured at baseline only, 1237 strokes occurred during the 2006-2018 follow-up period. Among those who provided two loneliness assessments over time, 601 strokes occurred during the follow-up period.

Even after adjusting for social isolation, depressive symptoms, physical activity, body mass index, and other health conditions, investigators found that participants who reported being lonely at baseline only had a 25% increased stroke risk, compared with those who did not report being lonely at baseline (hazard ratio [HR], 1.25; 95% confidence interval (CI), 1.06-1.47).

Participants who reported having consistently high loneliness across both time points had a 56% increased risk for incident stroke vs those who did not report loneliness at both time points after adjusting for social isolation and depression (HR, 1.56; 95% CI, 1.11-2.18).

The researchers did not investigate any of the underlying issues that may contribute to the association between loneliness and stroke risk, but speculated there may be physiological factors at play. These could include inflammation caused by increased hypothalamic pituitary-adrenocortical activity, behavioral factors such as poor medication adherence, smoking and/or alcohol use, and psychosocial issues.

Those who experience chronic loneliness may represent individuals that are unable to develop or maintain satisfying social relationships, which may result in longer-term interpersonal difficulties, Dr. Soh noted.

“Since loneliness is a highly subjective experience, seeking help to address and intervene to address a patient’s specific personal needs is important. It’s important to distinguish loneliness from social isolation,” said Dr. Soh.

She added that “by screening for loneliness and providing care or referring patients to relevant behavioral healthcare providers, clinicians can play a crucial role in addressing loneliness and its associated health risks early on to help reduce the population burden of loneliness.”
 

Progressive Research

Commenting on the findings for this news organization, Elaine Jones, MD, medical director of Access TeleCare, who was not involved in the research, applauded the investigators for “advancing the topic by looking at the chronicity aspect of loneliness.”

She said more research is needed to investigate loneliness as a stroke risk factor and noted that there may be something inherently different among respondents who reported loneliness at both study time points.

“Personality types may play a role here. We know people with positive attitudes and outlooks can do better in challenging health situations than people who are negative in their attitudes, regardless of depression. Perhaps those who feel lonely initially decided to do something about it and join groups, take up a hobby, or re-engage with family or friends. Perhaps the people who are chronically lonely don’t, or can’t, do this,” Dr. Jones said.

Chronic loneliness can cause stress, she added, “and we know that stress chemicals and hormones can be harmful to health over long durations of time.”

The study was funded by the National Institute on Aging. There were no conflicts of interest noted.

A version of this article first appeared on Medscape.com.

Brain imaging combined with artificial intelligence has identified six distinct “biotypes” of depression and anxiety that may lead to more personalized and effective treatment.

This research has “immediate clinical implications,” study investigator Leanne Williams, PhD, director of the Stanford Medicine Center for Precision Mental Health and Wellness, told this news organization.

“At Stanford, we have started translating the imaging technology into use in a new precision mental health clinic. The technology is being actively developed for wider use in clinical settings, and we hope to make it accessible to more clinicians and patients,” Dr. Williams said.

The study was published online in Nature Medicine.

 

No More Trial and Error?

Depression is a highly heterogeneous disease, with individual patients having different symptoms and treatment responses. About 30% of patients with major depression are resistant to treatment, and about half of patients with generalized anxiety disorder do not respond to first-line treatment.

“The dominant ‘one-size-fits-all’ diagnostic approach in psychiatry leads to cycling through treatment options by trial and error, which is lengthy, expensive, and frustrating, with 30%-40% of patients not achieving remission after trying one treatment,” the authors noted.

“The goal of our work is figuring out how we can get it right the first time,” Dr. Williams said in a news release, and that requires a better understanding of the neurobiology of depression.

To that end, 801 adults diagnosed with depression and anxiety underwent functional MRI to measure brain activity at rest and when engaged in tasks designed to test cognitive and emotional functioning.

Researchers probed six brain circuits previously associated with depression: the default mode circuit, salience circuit, attention circuit, negative affect circuit, positive affect circuit, and the cognitive control circuit.

Using a machine learning technique known as cluster analysis to group the patients’ brain images, they identified six clinically distinct biotypes of depression and anxiety defined by specific profiles of dysfunction within both task-free and task-evoked brain circuits.

“Importantly for clinical translation, these biotypes predict response to different pharmacological and behavioral interventions,” investigators wrote.

For example, patients with a biotype characterized by overactivity in cognitive regions of the brain experienced the best response to the antidepressant venlafaxine, compared with patients with other biotypes.

Patients with a different biotype, characterized by higher at-rest levels of activity in three regions associated with depression and problem-solving, responded better to behavioral therapy.

In addition, those with a third biotype, who had lower levels of activity at rest in the brain circuit that controls attention, were less apt to see improvement of their symptoms with behavioral therapy than those with other biotypes. The various biotypes also correlated with differences in symptoms and task performance.

For example, individuals with overactive cognitive regions of the brain had higher levels of anhedonia than those with other biotypes, and they also performed worse on tasks measuring executive function. Those with the biotype that responded best to behavioral therapy also made errors on executive function tasks but performed well on cognitive tasks.
 

A Work in Progress

The findings provide a deeper understanding of the neurobiological underpinnings of depression and anxiety and could lead to improved diagnostic accuracy and more tailored treatment approaches, the researchers noted.

Naming the biotypes is a work in progress, Dr. Williams said.

“We have thought a lot about the naming. In the Nature Medicine paper, we use a technical convention to name the biotypes based on which brain circuit problems define each of them,” she explained.

“For example, the first biotype is called DC+SC+AC+ because it is defined by connectivity increases [C+] on three resting circuits — default mode [D], salience [S], and frontoparietal attention [A]. We are working with collaborators to generate biotype names that could be convergent across findings and labs. In the near future, we anticipate generating more descriptive medical names that clinicians could refer to alongside the technical names,” Dr. Williams said.

Commenting on the research for this news organization, James Murrough, MD, PhD, director of the Depression and Anxiety Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, called it “super exciting.”

“The work from this research group is an excellent example of where precision psychiatry research is right now, particularly with regard to the use of brain imaging to personalize treatment, and this paper gives us a glimpse of where we could be in the not-too-distant future,” Dr. Murrough said.

However, he cautioned that at this point, “we’re far from realizing the dream of precision psychiatry. We just don’t have robust evidence that brain imaging markers can really guide clinical decision-making currently.”

Funding for the study was provided by the National Institutes of Health and by Brain Resource Ltd. Dr. Williams declared US patent applications numbered 10/034,645 and 15/820,338: “Systems and methods for detecting complex networks in MRI data.” Dr. Murrough had no relevant disclosures.

A version of this article appeared on Medscape.com.

Brain imaging combined with artificial intelligence has identified six distinct “biotypes” of depression and anxiety that may lead to more personalized and effective treatment.

This research has “immediate clinical implications,” study investigator Leanne Williams, PhD, director of the Stanford Medicine Center for Precision Mental Health and Wellness, told this news organization.

“At Stanford, we have started translating the imaging technology into use in a new precision mental health clinic. The technology is being actively developed for wider use in clinical settings, and we hope to make it accessible to more clinicians and patients,” Dr. Williams said.

The study was published online in Nature Medicine.

 

No More Trial and Error?

Depression is a highly heterogeneous disease, with individual patients having different symptoms and treatment responses. About 30% of patients with major depression are resistant to treatment, and about half of patients with generalized anxiety disorder do not respond to first-line treatment.

“The dominant ‘one-size-fits-all’ diagnostic approach in psychiatry leads to cycling through treatment options by trial and error, which is lengthy, expensive, and frustrating, with 30%-40% of patients not achieving remission after trying one treatment,” the authors noted.

“The goal of our work is figuring out how we can get it right the first time,” Dr. Williams said in a news release, and that requires a better understanding of the neurobiology of depression.

To that end, 801 adults diagnosed with depression and anxiety underwent functional MRI to measure brain activity at rest and when engaged in tasks designed to test cognitive and emotional functioning.

Researchers probed six brain circuits previously associated with depression: the default mode circuit, salience circuit, attention circuit, negative affect circuit, positive affect circuit, and the cognitive control circuit.

Using a machine learning technique known as cluster analysis to group the patients’ brain images, they identified six clinically distinct biotypes of depression and anxiety defined by specific profiles of dysfunction within both task-free and task-evoked brain circuits.

“Importantly for clinical translation, these biotypes predict response to different pharmacological and behavioral interventions,” investigators wrote.

For example, patients with a biotype characterized by overactivity in cognitive regions of the brain experienced the best response to the antidepressant venlafaxine, compared with patients with other biotypes.

Patients with a different biotype, characterized by higher at-rest levels of activity in three regions associated with depression and problem-solving, responded better to behavioral therapy.

In addition, those with a third biotype, who had lower levels of activity at rest in the brain circuit that controls attention, were less apt to see improvement of their symptoms with behavioral therapy than those with other biotypes. The various biotypes also correlated with differences in symptoms and task performance.

For example, individuals with overactive cognitive regions of the brain had higher levels of anhedonia than those with other biotypes, and they also performed worse on tasks measuring executive function. Those with the biotype that responded best to behavioral therapy also made errors on executive function tasks but performed well on cognitive tasks.
 

A Work in Progress

The findings provide a deeper understanding of the neurobiological underpinnings of depression and anxiety and could lead to improved diagnostic accuracy and more tailored treatment approaches, the researchers noted.

Naming the biotypes is a work in progress, Dr. Williams said.

“We have thought a lot about the naming. In the Nature Medicine paper, we use a technical convention to name the biotypes based on which brain circuit problems define each of them,” she explained.

“For example, the first biotype is called DC+SC+AC+ because it is defined by connectivity increases [C+] on three resting circuits — default mode [D], salience [S], and frontoparietal attention [A]. We are working with collaborators to generate biotype names that could be convergent across findings and labs. In the near future, we anticipate generating more descriptive medical names that clinicians could refer to alongside the technical names,” Dr. Williams said.

Commenting on the research for this news organization, James Murrough, MD, PhD, director of the Depression and Anxiety Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, called it “super exciting.”

“The work from this research group is an excellent example of where precision psychiatry research is right now, particularly with regard to the use of brain imaging to personalize treatment, and this paper gives us a glimpse of where we could be in the not-too-distant future,” Dr. Murrough said.

However, he cautioned that at this point, “we’re far from realizing the dream of precision psychiatry. We just don’t have robust evidence that brain imaging markers can really guide clinical decision-making currently.”

Funding for the study was provided by the National Institutes of Health and by Brain Resource Ltd. Dr. Williams declared US patent applications numbered 10/034,645 and 15/820,338: “Systems and methods for detecting complex networks in MRI data.” Dr. Murrough had no relevant disclosures.

A version of this article appeared on Medscape.com.

Brain imaging combined with artificial intelligence has identified six distinct “biotypes” of depression and anxiety that may lead to more personalized and effective treatment.

This research has “immediate clinical implications,” study investigator Leanne Williams, PhD, director of the Stanford Medicine Center for Precision Mental Health and Wellness, told this news organization.

“At Stanford, we have started translating the imaging technology into use in a new precision mental health clinic. The technology is being actively developed for wider use in clinical settings, and we hope to make it accessible to more clinicians and patients,” Dr. Williams said.

The study was published online in Nature Medicine.

 

No More Trial and Error?

Depression is a highly heterogeneous disease, with individual patients having different symptoms and treatment responses. About 30% of patients with major depression are resistant to treatment, and about half of patients with generalized anxiety disorder do not respond to first-line treatment.

“The dominant ‘one-size-fits-all’ diagnostic approach in psychiatry leads to cycling through treatment options by trial and error, which is lengthy, expensive, and frustrating, with 30%-40% of patients not achieving remission after trying one treatment,” the authors noted.

“The goal of our work is figuring out how we can get it right the first time,” Dr. Williams said in a news release, and that requires a better understanding of the neurobiology of depression.

To that end, 801 adults diagnosed with depression and anxiety underwent functional MRI to measure brain activity at rest and when engaged in tasks designed to test cognitive and emotional functioning.

Researchers probed six brain circuits previously associated with depression: the default mode circuit, salience circuit, attention circuit, negative affect circuit, positive affect circuit, and the cognitive control circuit.

Using a machine learning technique known as cluster analysis to group the patients’ brain images, they identified six clinically distinct biotypes of depression and anxiety defined by specific profiles of dysfunction within both task-free and task-evoked brain circuits.

“Importantly for clinical translation, these biotypes predict response to different pharmacological and behavioral interventions,” investigators wrote.

For example, patients with a biotype characterized by overactivity in cognitive regions of the brain experienced the best response to the antidepressant venlafaxine, compared with patients with other biotypes.

Patients with a different biotype, characterized by higher at-rest levels of activity in three regions associated with depression and problem-solving, responded better to behavioral therapy.

In addition, those with a third biotype, who had lower levels of activity at rest in the brain circuit that controls attention, were less apt to see improvement of their symptoms with behavioral therapy than those with other biotypes. The various biotypes also correlated with differences in symptoms and task performance.

For example, individuals with overactive cognitive regions of the brain had higher levels of anhedonia than those with other biotypes, and they also performed worse on tasks measuring executive function. Those with the biotype that responded best to behavioral therapy also made errors on executive function tasks but performed well on cognitive tasks.
 

A Work in Progress

The findings provide a deeper understanding of the neurobiological underpinnings of depression and anxiety and could lead to improved diagnostic accuracy and more tailored treatment approaches, the researchers noted.

Naming the biotypes is a work in progress, Dr. Williams said.

“We have thought a lot about the naming. In the Nature Medicine paper, we use a technical convention to name the biotypes based on which brain circuit problems define each of them,” she explained.

“For example, the first biotype is called DC+SC+AC+ because it is defined by connectivity increases [C+] on three resting circuits — default mode [D], salience [S], and frontoparietal attention [A]. We are working with collaborators to generate biotype names that could be convergent across findings and labs. In the near future, we anticipate generating more descriptive medical names that clinicians could refer to alongside the technical names,” Dr. Williams said.

Commenting on the research for this news organization, James Murrough, MD, PhD, director of the Depression and Anxiety Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, called it “super exciting.”

“The work from this research group is an excellent example of where precision psychiatry research is right now, particularly with regard to the use of brain imaging to personalize treatment, and this paper gives us a glimpse of where we could be in the not-too-distant future,” Dr. Murrough said.

However, he cautioned that at this point, “we’re far from realizing the dream of precision psychiatry. We just don’t have robust evidence that brain imaging markers can really guide clinical decision-making currently.”

Funding for the study was provided by the National Institutes of Health and by Brain Resource Ltd. Dr. Williams declared US patent applications numbered 10/034,645 and 15/820,338: “Systems and methods for detecting complex networks in MRI data.” Dr. Murrough had no relevant disclosures.

A version of this article appeared on Medscape.com.