MDedge Psychiatry

Which conditions are caused by infection? Though it may seem like an amateur concern in the era of advanced microscopy, some culprits evade conventional methods of detection. Large medical databases hold the power to unlock answers. 

A recent study from Sweden and Denmark meticulously traced the lives and medical histories of nearly one million men and women in those countries who had received blood transfusions over nearly five decades. Some of these patients later experienced brain bleeds. The inescapable question: Could a virus found in some donor blood have caused the hemorrhages?

Traditionally, brain bleeds have been thought to strike at random. But the new study, published in JAMA, points toward an infection that causes or, at the very least, is linked to the condition. The researchers used a large databank to make the discovery. 

“As health data becomes more available and easier to analyze, we’ll see all kinds of cases like this,” said Jingcheng Zhao, MD, of the clinical epidemiology division of Sweden’s Karolinska Institutet in Solna and lead author of the study.

Scientists say the field of medical research is on the cusp of a revolution as immense health databases guide discovery and improve clinical care. 

“If you can aggregate data, you have the statistical power to identify associations,” said David R. Crosslin, PhD, professor in the division of biomedical informatics and genomics at Tulane University in New Orleans. “It opens up the world for understanding diseases.”

With access to the large database, Dr. Zhao and his team found that some blood donors later experienced brain bleeds. And it turned out that the recipients of blood from those same donors carried the highest risk of experiencing a brain bleed later in life. Meanwhile, patients whose donors remained bleed-free had the lowest risk.
 

Not so fast in the United States

In Nordic countries, all hospitals, clinics, and pharmacies report data on diagnoses and health care visits to the government, tracking that began with paper and pen in the 1960s. But the United States health care system is too fragmented to replicate such efforts, with several brands of electronic medical records operating across different systems. Data sharing across institutions is minimal. 

Most comparable health data in the United States comes from reimbursement information collected by the Centers for Medicare & Medicaid Services on government-sponsored insurance programs.

“We would need all the health care systems in the country to operate within the same IT system or use the same data model,” said Euan Ashley, MD, PhD, professor of genomics at Stanford (Calif.) University. “It’s an exciting prospect. But I think [the United States] is one of the last countries where it’ll happen.”

States, meanwhile, collect health data on specific areas like sexually transmitted infection cases and rates. Other states have registries, like the Connecticut Tumor Registry, which was established in 1941 and is the oldest population-based cancer registry in the world.

But all of these efforts are ad hoc, and no equivalent exists for heart disease and other conditions.

Health data companies have recently entered the U.S. data industry mainly through partnerships with health systems and insurance companies, using deidentified information from patient charts.

The large databases have yielded important findings that randomized clinical trials simply cannot, according to Dr. Ashley.

For instance, a study found that a heavily-lauded immunotherapy treatment did not provide meaningful outcomes for patients aged 75 years or older, but it did for younger patients.

This sort of analysis might enable clinicians to administer treatments based on how effective they are for patients with particular demographics, according to Cary Gross, MD, professor at Yale University in New Haven, Conn.

“From a bedside standpoint, these large databases can identify who benefits from what,” Dr. Gross said. “Precision medicine is not just about genetic tailoring.” These large datasets also provide insight into genetic and environmental variables that contribute to disease. 

For instance, the UK Biobank has more than 500,000 participants paired with their medical records and scans of their body and brain. Researchers perform cognitive tests on participants and extract DNA from blood samples over their lifetime, allowing examination of interactions between risk factors. 

A similar but much smaller-scale effort underway in the United States, called the All of Us Research Program, has enrolled more than 650,000 people, less than one-third the size of the UK Biobank by relative populations. The goal of the program is to provide insights into prevention and treatment of chronic disease among a diverse set of at least one million participants. The database includes information on sexual orientation, which is a fairly new datapoint collected by researchers in an effort to study health outcomes and inequities among the LGBTQ+ community.

Dr. Crosslin and his colleagues are writing a grant proposal to use the All of Us database to identify genetic risks for preeclampsia. People with certain genetic profiles may be predisposed to the life-threatening condition, and researchers may discover that lifestyle changes could decrease risk, Dr. Crosslin said. 
 

Changes in the United States

The COVID-19 pandemic exposed the lack of centralized data in the United States because a majority of research on the virus has been conducted abroad in countries with national health care systems and these large databases. 

The U.S. gap spurred a group of researchers to create the National Institutes of Health–funded National COVID Cohort Collaborative (N3C), a project that gathers medical records from millions of patients across health systems and provides access to research teams investigating a wide spectrum of topics, such as optimal timing for ventilator use.

But until government or private health systems develop a way to share and regulate health data ethically and efficiently, significant limits will persist on what large-scale databases can do, Dr. Gross said. 

“At the federal level, we need to ensure this health information is made available for public health researchers so we don’t create these private fiefdoms of data,” Dr. Gross said. “Things have to be transparent. I think our country needs to take a step back and think about what we’re doing with our health data and how we can make sure it’s being managed ethically.”

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

Which conditions are caused by infection? Though it may seem like an amateur concern in the era of advanced microscopy, some culprits evade conventional methods of detection. Large medical databases hold the power to unlock answers. 

A recent study from Sweden and Denmark meticulously traced the lives and medical histories of nearly one million men and women in those countries who had received blood transfusions over nearly five decades. Some of these patients later experienced brain bleeds. The inescapable question: Could a virus found in some donor blood have caused the hemorrhages?

Traditionally, brain bleeds have been thought to strike at random. But the new study, published in JAMA, points toward an infection that causes or, at the very least, is linked to the condition. The researchers used a large databank to make the discovery. 

“As health data becomes more available and easier to analyze, we’ll see all kinds of cases like this,” said Jingcheng Zhao, MD, of the clinical epidemiology division of Sweden’s Karolinska Institutet in Solna and lead author of the study.

Scientists say the field of medical research is on the cusp of a revolution as immense health databases guide discovery and improve clinical care. 

“If you can aggregate data, you have the statistical power to identify associations,” said David R. Crosslin, PhD, professor in the division of biomedical informatics and genomics at Tulane University in New Orleans. “It opens up the world for understanding diseases.”

With access to the large database, Dr. Zhao and his team found that some blood donors later experienced brain bleeds. And it turned out that the recipients of blood from those same donors carried the highest risk of experiencing a brain bleed later in life. Meanwhile, patients whose donors remained bleed-free had the lowest risk.
 

Not so fast in the United States

In Nordic countries, all hospitals, clinics, and pharmacies report data on diagnoses and health care visits to the government, tracking that began with paper and pen in the 1960s. But the United States health care system is too fragmented to replicate such efforts, with several brands of electronic medical records operating across different systems. Data sharing across institutions is minimal. 

Most comparable health data in the United States comes from reimbursement information collected by the Centers for Medicare & Medicaid Services on government-sponsored insurance programs.

“We would need all the health care systems in the country to operate within the same IT system or use the same data model,” said Euan Ashley, MD, PhD, professor of genomics at Stanford (Calif.) University. “It’s an exciting prospect. But I think [the United States] is one of the last countries where it’ll happen.”

States, meanwhile, collect health data on specific areas like sexually transmitted infection cases and rates. Other states have registries, like the Connecticut Tumor Registry, which was established in 1941 and is the oldest population-based cancer registry in the world.

But all of these efforts are ad hoc, and no equivalent exists for heart disease and other conditions.

Health data companies have recently entered the U.S. data industry mainly through partnerships with health systems and insurance companies, using deidentified information from patient charts.

The large databases have yielded important findings that randomized clinical trials simply cannot, according to Dr. Ashley.

For instance, a study found that a heavily-lauded immunotherapy treatment did not provide meaningful outcomes for patients aged 75 years or older, but it did for younger patients.

This sort of analysis might enable clinicians to administer treatments based on how effective they are for patients with particular demographics, according to Cary Gross, MD, professor at Yale University in New Haven, Conn.

“From a bedside standpoint, these large databases can identify who benefits from what,” Dr. Gross said. “Precision medicine is not just about genetic tailoring.” These large datasets also provide insight into genetic and environmental variables that contribute to disease. 

For instance, the UK Biobank has more than 500,000 participants paired with their medical records and scans of their body and brain. Researchers perform cognitive tests on participants and extract DNA from blood samples over their lifetime, allowing examination of interactions between risk factors. 

A similar but much smaller-scale effort underway in the United States, called the All of Us Research Program, has enrolled more than 650,000 people, less than one-third the size of the UK Biobank by relative populations. The goal of the program is to provide insights into prevention and treatment of chronic disease among a diverse set of at least one million participants. The database includes information on sexual orientation, which is a fairly new datapoint collected by researchers in an effort to study health outcomes and inequities among the LGBTQ+ community.

Dr. Crosslin and his colleagues are writing a grant proposal to use the All of Us database to identify genetic risks for preeclampsia. People with certain genetic profiles may be predisposed to the life-threatening condition, and researchers may discover that lifestyle changes could decrease risk, Dr. Crosslin said. 
 

Changes in the United States

The COVID-19 pandemic exposed the lack of centralized data in the United States because a majority of research on the virus has been conducted abroad in countries with national health care systems and these large databases. 

The U.S. gap spurred a group of researchers to create the National Institutes of Health–funded National COVID Cohort Collaborative (N3C), a project that gathers medical records from millions of patients across health systems and provides access to research teams investigating a wide spectrum of topics, such as optimal timing for ventilator use.

But until government or private health systems develop a way to share and regulate health data ethically and efficiently, significant limits will persist on what large-scale databases can do, Dr. Gross said. 

“At the federal level, we need to ensure this health information is made available for public health researchers so we don’t create these private fiefdoms of data,” Dr. Gross said. “Things have to be transparent. I think our country needs to take a step back and think about what we’re doing with our health data and how we can make sure it’s being managed ethically.”

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

Which conditions are caused by infection? Though it may seem like an amateur concern in the era of advanced microscopy, some culprits evade conventional methods of detection. Large medical databases hold the power to unlock answers. 

A recent study from Sweden and Denmark meticulously traced the lives and medical histories of nearly one million men and women in those countries who had received blood transfusions over nearly five decades. Some of these patients later experienced brain bleeds. The inescapable question: Could a virus found in some donor blood have caused the hemorrhages?

Traditionally, brain bleeds have been thought to strike at random. But the new study, published in JAMA, points toward an infection that causes or, at the very least, is linked to the condition. The researchers used a large databank to make the discovery. 

“As health data becomes more available and easier to analyze, we’ll see all kinds of cases like this,” said Jingcheng Zhao, MD, of the clinical epidemiology division of Sweden’s Karolinska Institutet in Solna and lead author of the study.

Scientists say the field of medical research is on the cusp of a revolution as immense health databases guide discovery and improve clinical care. 

“If you can aggregate data, you have the statistical power to identify associations,” said David R. Crosslin, PhD, professor in the division of biomedical informatics and genomics at Tulane University in New Orleans. “It opens up the world for understanding diseases.”

With access to the large database, Dr. Zhao and his team found that some blood donors later experienced brain bleeds. And it turned out that the recipients of blood from those same donors carried the highest risk of experiencing a brain bleed later in life. Meanwhile, patients whose donors remained bleed-free had the lowest risk.
 

Not so fast in the United States

In Nordic countries, all hospitals, clinics, and pharmacies report data on diagnoses and health care visits to the government, tracking that began with paper and pen in the 1960s. But the United States health care system is too fragmented to replicate such efforts, with several brands of electronic medical records operating across different systems. Data sharing across institutions is minimal. 

Most comparable health data in the United States comes from reimbursement information collected by the Centers for Medicare & Medicaid Services on government-sponsored insurance programs.

“We would need all the health care systems in the country to operate within the same IT system or use the same data model,” said Euan Ashley, MD, PhD, professor of genomics at Stanford (Calif.) University. “It’s an exciting prospect. But I think [the United States] is one of the last countries where it’ll happen.”

States, meanwhile, collect health data on specific areas like sexually transmitted infection cases and rates. Other states have registries, like the Connecticut Tumor Registry, which was established in 1941 and is the oldest population-based cancer registry in the world.

But all of these efforts are ad hoc, and no equivalent exists for heart disease and other conditions.

Health data companies have recently entered the U.S. data industry mainly through partnerships with health systems and insurance companies, using deidentified information from patient charts.

The large databases have yielded important findings that randomized clinical trials simply cannot, according to Dr. Ashley.

For instance, a study found that a heavily-lauded immunotherapy treatment did not provide meaningful outcomes for patients aged 75 years or older, but it did for younger patients.

This sort of analysis might enable clinicians to administer treatments based on how effective they are for patients with particular demographics, according to Cary Gross, MD, professor at Yale University in New Haven, Conn.

“From a bedside standpoint, these large databases can identify who benefits from what,” Dr. Gross said. “Precision medicine is not just about genetic tailoring.” These large datasets also provide insight into genetic and environmental variables that contribute to disease. 

For instance, the UK Biobank has more than 500,000 participants paired with their medical records and scans of their body and brain. Researchers perform cognitive tests on participants and extract DNA from blood samples over their lifetime, allowing examination of interactions between risk factors. 

A similar but much smaller-scale effort underway in the United States, called the All of Us Research Program, has enrolled more than 650,000 people, less than one-third the size of the UK Biobank by relative populations. The goal of the program is to provide insights into prevention and treatment of chronic disease among a diverse set of at least one million participants. The database includes information on sexual orientation, which is a fairly new datapoint collected by researchers in an effort to study health outcomes and inequities among the LGBTQ+ community.

Dr. Crosslin and his colleagues are writing a grant proposal to use the All of Us database to identify genetic risks for preeclampsia. People with certain genetic profiles may be predisposed to the life-threatening condition, and researchers may discover that lifestyle changes could decrease risk, Dr. Crosslin said. 
 

Changes in the United States

The COVID-19 pandemic exposed the lack of centralized data in the United States because a majority of research on the virus has been conducted abroad in countries with national health care systems and these large databases. 

The U.S. gap spurred a group of researchers to create the National Institutes of Health–funded National COVID Cohort Collaborative (N3C), a project that gathers medical records from millions of patients across health systems and provides access to research teams investigating a wide spectrum of topics, such as optimal timing for ventilator use.

But until government or private health systems develop a way to share and regulate health data ethically and efficiently, significant limits will persist on what large-scale databases can do, Dr. Gross said. 

“At the federal level, we need to ensure this health information is made available for public health researchers so we don’t create these private fiefdoms of data,” Dr. Gross said. “Things have to be transparent. I think our country needs to take a step back and think about what we’re doing with our health data and how we can make sure it’s being managed ethically.”

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

A Canadian systematic review of 28 observational studies has identified 10 strong predictors of fatal and nonfatal prescription opioid overdose.

Published in CMAJ, the analysis found the risk of fatal and nonfatal opioid overdose was notably tied to such factors as high-dose and fentanyl prescriptions, multiple opioid prescribers or pharmacies, and several mental health issues. High-certainty evidence from 14 studies involving more than a million patients showed a linear dose-response relationship with opioid overdose.

“Our findings suggest that awareness of, and attention to, several patient and prescription characteristics may help reduce the risk of opioid overdose among people living with chronic pain,” wrote a research team led by Li Wang, PhD, a researcher at the Michael G. DeGroote Institute for Pain Research and Care and the department of anesthesia at McMaster University, Hamilton, Ont.
 

Predictors of fatal and nonfatal overdose

Reporting on studies of 103 possible predictors in a pooled cohort of almost 24 million patients, the review found moderate- to high-certainty evidence for large relative associations with the following 10 criteria:

• A history of overdose (odds ratio, 5.85; 95% confidence interval, 3.78-9.04).
• A higher opioid dosage (OR, 2.57; 95% CI, 2.08-3.18 per 90-mg increment).
• Three or more prescribers (OR, 4.68; 95% CI, 3.57-6.12).
• Four or more dispensing pharmacies (OR, 4.92; 95% CI, 4.35-5.57).
• Prescription for fentanyl (OR, 2.80; 95% CI, 2.30-3.41).
• Current substance use disorder (OR, 2.62; 95% CI, 2.09-3.27).
• Any mental health diagnosis (OR, 2.12; 95% CI, 1.73-2.61).
• Depression (OR, 2.22; 95% CI, 1.57-314).
• Bipolar disorder (OR, 2.07; 95% CI, 1.77-2.41).
• Pancreatitis (OR, 2.00; 95% CI,1.52-2.64).

Absolute risks in patients with the predictor ranged from 2 to 6 per 1,000 for fatal overdose and 4 to 12 per 1,000 for nonfatal overdose.

The authors noted that chronic pain affects 20% of the world’s population worldwide, and a 2021 meta-analysis of 60 observational studies revealed that opioids are prescribed for 27% of adults living with chronic pain, with a higher prevalence of prescribing in North America than in Europe.
 

International review

A total of 28 observational studies comprising 23,963,716 patients (52% female) with mean age of 52 years were enrolled. All used administrative databases. Twenty-four studies were conducted in the United States, three in Canada, and one in the United Kingdom. Twenty-one studies included only patients with noncancer chronic pain, while seven included patients with either cancer-related or noncancer chronic pain. Twenty-two studies accepted patients with previous or current substance use disorder and three excluded patients with comorbid substance use disorder. Twenty-three studies included patients with comorbid mental illness and five exclusively recruited veterans.

The median sample size was 43,885. As a limitation, 25 studies (89%) were at high risk of bias for at least one criterion, the authors acknowledged. Moderate-certainty evidence showed the pooled prevalence of fatal opioid overdose after prescription for chronic pain was 1.3 per 1,000 (95% CI, 0.6-2.3 per 1,000) for fatal overdose and 3.2 per 1,000 (95% CI, 2.0-4.7 per 1,000) for nonfatal overdose.

“Awareness of these predictors may facilitate shared decision-making regarding prescribing opioids for chronic pain and may inform harm-reduction strategies,” Dr. Wang and associates wrote.

This study was supported by a grant from Health Canada’s Substance Use and Addictions Program. Coauthor Dr. Corey Hayes was supported by Veterans Affairs Health Services Research and Development and the National Institute on Drug Abuse Clinical Trials Network. Dr. Jason Busse is supported by the Canadian Institutes of Health Research. Dr. David Juurlink has received travel support for presentations from the CIHR, Stanford University, and Texas Tech University Health Sciences Center.

A Canadian systematic review of 28 observational studies has identified 10 strong predictors of fatal and nonfatal prescription opioid overdose.

Published in CMAJ, the analysis found the risk of fatal and nonfatal opioid overdose was notably tied to such factors as high-dose and fentanyl prescriptions, multiple opioid prescribers or pharmacies, and several mental health issues. High-certainty evidence from 14 studies involving more than a million patients showed a linear dose-response relationship with opioid overdose.

“Our findings suggest that awareness of, and attention to, several patient and prescription characteristics may help reduce the risk of opioid overdose among people living with chronic pain,” wrote a research team led by Li Wang, PhD, a researcher at the Michael G. DeGroote Institute for Pain Research and Care and the department of anesthesia at McMaster University, Hamilton, Ont.
 

Predictors of fatal and nonfatal overdose

Reporting on studies of 103 possible predictors in a pooled cohort of almost 24 million patients, the review found moderate- to high-certainty evidence for large relative associations with the following 10 criteria:

• A history of overdose (odds ratio, 5.85; 95% confidence interval, 3.78-9.04).
• A higher opioid dosage (OR, 2.57; 95% CI, 2.08-3.18 per 90-mg increment).
• Three or more prescribers (OR, 4.68; 95% CI, 3.57-6.12).
• Four or more dispensing pharmacies (OR, 4.92; 95% CI, 4.35-5.57).
• Prescription for fentanyl (OR, 2.80; 95% CI, 2.30-3.41).
• Current substance use disorder (OR, 2.62; 95% CI, 2.09-3.27).
• Any mental health diagnosis (OR, 2.12; 95% CI, 1.73-2.61).
• Depression (OR, 2.22; 95% CI, 1.57-314).
• Bipolar disorder (OR, 2.07; 95% CI, 1.77-2.41).
• Pancreatitis (OR, 2.00; 95% CI,1.52-2.64).

Absolute risks in patients with the predictor ranged from 2 to 6 per 1,000 for fatal overdose and 4 to 12 per 1,000 for nonfatal overdose.

The authors noted that chronic pain affects 20% of the world’s population worldwide, and a 2021 meta-analysis of 60 observational studies revealed that opioids are prescribed for 27% of adults living with chronic pain, with a higher prevalence of prescribing in North America than in Europe.
 

International review

A total of 28 observational studies comprising 23,963,716 patients (52% female) with mean age of 52 years were enrolled. All used administrative databases. Twenty-four studies were conducted in the United States, three in Canada, and one in the United Kingdom. Twenty-one studies included only patients with noncancer chronic pain, while seven included patients with either cancer-related or noncancer chronic pain. Twenty-two studies accepted patients with previous or current substance use disorder and three excluded patients with comorbid substance use disorder. Twenty-three studies included patients with comorbid mental illness and five exclusively recruited veterans.

The median sample size was 43,885. As a limitation, 25 studies (89%) were at high risk of bias for at least one criterion, the authors acknowledged. Moderate-certainty evidence showed the pooled prevalence of fatal opioid overdose after prescription for chronic pain was 1.3 per 1,000 (95% CI, 0.6-2.3 per 1,000) for fatal overdose and 3.2 per 1,000 (95% CI, 2.0-4.7 per 1,000) for nonfatal overdose.

“Awareness of these predictors may facilitate shared decision-making regarding prescribing opioids for chronic pain and may inform harm-reduction strategies,” Dr. Wang and associates wrote.

This study was supported by a grant from Health Canada’s Substance Use and Addictions Program. Coauthor Dr. Corey Hayes was supported by Veterans Affairs Health Services Research and Development and the National Institute on Drug Abuse Clinical Trials Network. Dr. Jason Busse is supported by the Canadian Institutes of Health Research. Dr. David Juurlink has received travel support for presentations from the CIHR, Stanford University, and Texas Tech University Health Sciences Center.

A Canadian systematic review of 28 observational studies has identified 10 strong predictors of fatal and nonfatal prescription opioid overdose.

Published in CMAJ, the analysis found the risk of fatal and nonfatal opioid overdose was notably tied to such factors as high-dose and fentanyl prescriptions, multiple opioid prescribers or pharmacies, and several mental health issues. High-certainty evidence from 14 studies involving more than a million patients showed a linear dose-response relationship with opioid overdose.

“Our findings suggest that awareness of, and attention to, several patient and prescription characteristics may help reduce the risk of opioid overdose among people living with chronic pain,” wrote a research team led by Li Wang, PhD, a researcher at the Michael G. DeGroote Institute for Pain Research and Care and the department of anesthesia at McMaster University, Hamilton, Ont.
 

Predictors of fatal and nonfatal overdose

Reporting on studies of 103 possible predictors in a pooled cohort of almost 24 million patients, the review found moderate- to high-certainty evidence for large relative associations with the following 10 criteria:

• A history of overdose (odds ratio, 5.85; 95% confidence interval, 3.78-9.04).
• A higher opioid dosage (OR, 2.57; 95% CI, 2.08-3.18 per 90-mg increment).
• Three or more prescribers (OR, 4.68; 95% CI, 3.57-6.12).
• Four or more dispensing pharmacies (OR, 4.92; 95% CI, 4.35-5.57).
• Prescription for fentanyl (OR, 2.80; 95% CI, 2.30-3.41).
• Current substance use disorder (OR, 2.62; 95% CI, 2.09-3.27).
• Any mental health diagnosis (OR, 2.12; 95% CI, 1.73-2.61).
• Depression (OR, 2.22; 95% CI, 1.57-314).
• Bipolar disorder (OR, 2.07; 95% CI, 1.77-2.41).
• Pancreatitis (OR, 2.00; 95% CI,1.52-2.64).

Absolute risks in patients with the predictor ranged from 2 to 6 per 1,000 for fatal overdose and 4 to 12 per 1,000 for nonfatal overdose.

The authors noted that chronic pain affects 20% of the world’s population worldwide, and a 2021 meta-analysis of 60 observational studies revealed that opioids are prescribed for 27% of adults living with chronic pain, with a higher prevalence of prescribing in North America than in Europe.
 

International review

A total of 28 observational studies comprising 23,963,716 patients (52% female) with mean age of 52 years were enrolled. All used administrative databases. Twenty-four studies were conducted in the United States, three in Canada, and one in the United Kingdom. Twenty-one studies included only patients with noncancer chronic pain, while seven included patients with either cancer-related or noncancer chronic pain. Twenty-two studies accepted patients with previous or current substance use disorder and three excluded patients with comorbid substance use disorder. Twenty-three studies included patients with comorbid mental illness and five exclusively recruited veterans.

The median sample size was 43,885. As a limitation, 25 studies (89%) were at high risk of bias for at least one criterion, the authors acknowledged. Moderate-certainty evidence showed the pooled prevalence of fatal opioid overdose after prescription for chronic pain was 1.3 per 1,000 (95% CI, 0.6-2.3 per 1,000) for fatal overdose and 3.2 per 1,000 (95% CI, 2.0-4.7 per 1,000) for nonfatal overdose.

“Awareness of these predictors may facilitate shared decision-making regarding prescribing opioids for chronic pain and may inform harm-reduction strategies,” Dr. Wang and associates wrote.

This study was supported by a grant from Health Canada’s Substance Use and Addictions Program. Coauthor Dr. Corey Hayes was supported by Veterans Affairs Health Services Research and Development and the National Institute on Drug Abuse Clinical Trials Network. Dr. Jason Busse is supported by the Canadian Institutes of Health Research. Dr. David Juurlink has received travel support for presentations from the CIHR, Stanford University, and Texas Tech University Health Sciences Center.

TOPLINE:

New Canadian guidelines for the management of high-risk drinking and alcohol use disorder (AUD) include 15 recommendations on screening, diagnosis, withdrawal management, and ongoing treatment including psychosocial interventions, drug therapies, and community-based programs.

METHODOLOGY:

• The Canadian Research Initiative in Substance Misuse convened a 36-member committee of clinicians, researchers, people with personal experience of alcohol use, and Indigenous or Métis individuals to develop the guidelines, using the Appraisal of Guidelines for Research and Evaluation Instrument.
• Risk assessment was based on Alcohol Use Disorders Identification Test-Consumption scores.
• The definition of AUD was based on patients experiencing “clinically significant impairment or distress” from their alcohol use, with severity being mild, moderate, or severe.

TAKEAWAY:

• All adult and youth patients at moderate or high risk for AUD should be screened annually for alcohol use, and those screening positive should receive a diagnostic interview for AUD and an individualized treatment plan.
• Assessment of severe alcohol withdrawal complications should include clinical parameters such as past seizures or delirium tremens and the Prediction of Alcohol Withdrawal Severity Scale, with treatment including nonbenzodiazepine medications for low-risk patients and a short-term benzodiazepine prescription for high-risk patients, ideally in an inpatient setting.
• All patients with AUD should be referred for psychosocial treatment, and those with moderate to severe AUD should be offered naltrexone, acamprosate, topiramate, or gabapentin, depending on contraindications and effectiveness.
• Antipsychotics or SSRI antidepressants have little benefit and may worsen outcomes and should not be prescribed for AUD.

IN PRACTICE:

The authors noted that more than half of people aged 15 years or older in Canada drink more than the recommended amount, and about 18% meet the definition for AUD. “The aim of this guideline is to support primary care providers and services to offer more effective treatments routinely to patients with AUD as the standard of practice, with resulting improvements in health as well as potential for considerable cost savings in health and social systems,” the investigators write. They also note that policy makers can substantially improve standards of care by promoting adoption of the guideline and its recommendations.

SOURCE:

The article was written by Evan Wood, MD, PhD, professor of medicine, University of British Columbia, Vancouver, and colleagues. It was published online in the Canadian Medical Association Journal.

LIMITATIONS:

The guideline was published more than 3 years after the initial literature search in September 2020 and did not include comprehensive guidance for AUD with co-occurring substance use disorders or with severe mental health conditions. Certain groups, including immigrant and refugee populations, were not represented.

DISCLOSURES:

Development of the guideline received support from Health Canada’s Substance Use and Addictions Program, Canadian Institutes of Health Research, and BC Centre on Substance Use. No committee members disclosed direct monetary or nonmonetary support from alcohol or pharmaceutical industry sources within the past 5 years, or that their clinical revenue would be influenced by the guideline recommendations.

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

TOPLINE:

New Canadian guidelines for the management of high-risk drinking and alcohol use disorder (AUD) include 15 recommendations on screening, diagnosis, withdrawal management, and ongoing treatment including psychosocial interventions, drug therapies, and community-based programs.

METHODOLOGY:

• The Canadian Research Initiative in Substance Misuse convened a 36-member committee of clinicians, researchers, people with personal experience of alcohol use, and Indigenous or Métis individuals to develop the guidelines, using the Appraisal of Guidelines for Research and Evaluation Instrument.
• Risk assessment was based on Alcohol Use Disorders Identification Test-Consumption scores.
• The definition of AUD was based on patients experiencing “clinically significant impairment or distress” from their alcohol use, with severity being mild, moderate, or severe.

TAKEAWAY:

• All adult and youth patients at moderate or high risk for AUD should be screened annually for alcohol use, and those screening positive should receive a diagnostic interview for AUD and an individualized treatment plan.
• Assessment of severe alcohol withdrawal complications should include clinical parameters such as past seizures or delirium tremens and the Prediction of Alcohol Withdrawal Severity Scale, with treatment including nonbenzodiazepine medications for low-risk patients and a short-term benzodiazepine prescription for high-risk patients, ideally in an inpatient setting.
• All patients with AUD should be referred for psychosocial treatment, and those with moderate to severe AUD should be offered naltrexone, acamprosate, topiramate, or gabapentin, depending on contraindications and effectiveness.
• Antipsychotics or SSRI antidepressants have little benefit and may worsen outcomes and should not be prescribed for AUD.

IN PRACTICE:

The authors noted that more than half of people aged 15 years or older in Canada drink more than the recommended amount, and about 18% meet the definition for AUD. “The aim of this guideline is to support primary care providers and services to offer more effective treatments routinely to patients with AUD as the standard of practice, with resulting improvements in health as well as potential for considerable cost savings in health and social systems,” the investigators write. They also note that policy makers can substantially improve standards of care by promoting adoption of the guideline and its recommendations.

SOURCE:

The article was written by Evan Wood, MD, PhD, professor of medicine, University of British Columbia, Vancouver, and colleagues. It was published online in the Canadian Medical Association Journal.

LIMITATIONS:

The guideline was published more than 3 years after the initial literature search in September 2020 and did not include comprehensive guidance for AUD with co-occurring substance use disorders or with severe mental health conditions. Certain groups, including immigrant and refugee populations, were not represented.

DISCLOSURES:

Development of the guideline received support from Health Canada’s Substance Use and Addictions Program, Canadian Institutes of Health Research, and BC Centre on Substance Use. No committee members disclosed direct monetary or nonmonetary support from alcohol or pharmaceutical industry sources within the past 5 years, or that their clinical revenue would be influenced by the guideline recommendations.

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

TOPLINE:

New Canadian guidelines for the management of high-risk drinking and alcohol use disorder (AUD) include 15 recommendations on screening, diagnosis, withdrawal management, and ongoing treatment including psychosocial interventions, drug therapies, and community-based programs.

METHODOLOGY:

• The Canadian Research Initiative in Substance Misuse convened a 36-member committee of clinicians, researchers, people with personal experience of alcohol use, and Indigenous or Métis individuals to develop the guidelines, using the Appraisal of Guidelines for Research and Evaluation Instrument.
• Risk assessment was based on Alcohol Use Disorders Identification Test-Consumption scores.
• The definition of AUD was based on patients experiencing “clinically significant impairment or distress” from their alcohol use, with severity being mild, moderate, or severe.

TAKEAWAY:

• All adult and youth patients at moderate or high risk for AUD should be screened annually for alcohol use, and those screening positive should receive a diagnostic interview for AUD and an individualized treatment plan.
• Assessment of severe alcohol withdrawal complications should include clinical parameters such as past seizures or delirium tremens and the Prediction of Alcohol Withdrawal Severity Scale, with treatment including nonbenzodiazepine medications for low-risk patients and a short-term benzodiazepine prescription for high-risk patients, ideally in an inpatient setting.
• All patients with AUD should be referred for psychosocial treatment, and those with moderate to severe AUD should be offered naltrexone, acamprosate, topiramate, or gabapentin, depending on contraindications and effectiveness.
• Antipsychotics or SSRI antidepressants have little benefit and may worsen outcomes and should not be prescribed for AUD.

IN PRACTICE:

The authors noted that more than half of people aged 15 years or older in Canada drink more than the recommended amount, and about 18% meet the definition for AUD. “The aim of this guideline is to support primary care providers and services to offer more effective treatments routinely to patients with AUD as the standard of practice, with resulting improvements in health as well as potential for considerable cost savings in health and social systems,” the investigators write. They also note that policy makers can substantially improve standards of care by promoting adoption of the guideline and its recommendations.

SOURCE:

The article was written by Evan Wood, MD, PhD, professor of medicine, University of British Columbia, Vancouver, and colleagues. It was published online in the Canadian Medical Association Journal.

LIMITATIONS:

The guideline was published more than 3 years after the initial literature search in September 2020 and did not include comprehensive guidance for AUD with co-occurring substance use disorders or with severe mental health conditions. Certain groups, including immigrant and refugee populations, were not represented.

DISCLOSURES:

Development of the guideline received support from Health Canada’s Substance Use and Addictions Program, Canadian Institutes of Health Research, and BC Centre on Substance Use. No committee members disclosed direct monetary or nonmonetary support from alcohol or pharmaceutical industry sources within the past 5 years, or that their clinical revenue would be influenced by the guideline recommendations.

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

TOPLINE:

Challenging conventional wisdom, new research suggests that hitting the snooze button does not lead to cognitive impairment on waking and may actually provide cognitive benefits.

METHODOLOGY:

• Researchers did two studies to determine why intermittent morning alarms are used and how they affect sleep, cognition, cortisol, and mood.
• Study 1 was a survey of 1,732 healthy adults (mean age 34 years; 66% women) designed to elucidate the characteristics of people who snooze and why they choose to delay their waking in this way.
• Study 2 was a within-subject polysomnography study of 31 healthy habitual snoozers (mean age 27 years; 18 women) designed to explore the acute effects of snoozing on sleep architecture, sleepiness, cognitive ability, mood, and cortisol awakening response.

TAKEAWAY:

• Overall, 69% reported using the snooze button or setting multiple alarms at least sometimes, most often on workdays (71%), with an average snooze time per morning of 22 minutes.
• Sleep quality did not differ between snoozers and nonsnoozers, but snoozers were more likely to feel mentally drowsy on waking (odds ratio, 3.0; P < .001) and had slightly shorter sleep time on workdays (13 minutes).
• In the polysomnography study, compared with waking up abruptly, 30 minutes of snoozing in the morning improved or did not affect performance on standard cognitive tests completed directly on final awakening.
• Snoozing resulted in about 6 minutes of lost sleep, but it prevented awakening from slow-wave sleep and had no clear effects on the cortisol awakening response, morning sleepiness, mood, or overnight sleep architecture.

IN PRACTICE:

“The findings indicate that there is no reason to stop snoozing in the morning if you enjoy it, at least not for snooze times around 30 minutes. In fact, it may even help those with morning drowsiness to be slightly more awake once they get up,” corresponding author Tina Sundelin, PhD, of Stockholm University, said in a statement.

SOURCE:

The study was published online in the Journal of Sleep Research.

LIMITATIONS:

Study 1 focused on waking preferences in a convenience sample of adults. Study 2 included only habitual snoozers making it difficult to generalize the findings to people who don’t usually snooze. The study investigated only the effect of 30 minutes of snoozing on the studied parameters. It’s possible that shorter or longer snooze times have different cognitive effects.

DISCLOSURES:

Support for the study was provided by the Stress Research Institute, Stockholm University, and a grant from Vetenskapsrådet. The authors disclosed no relevant conflicts of interest.

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

TOPLINE:

Challenging conventional wisdom, new research suggests that hitting the snooze button does not lead to cognitive impairment on waking and may actually provide cognitive benefits.

METHODOLOGY:

• Researchers did two studies to determine why intermittent morning alarms are used and how they affect sleep, cognition, cortisol, and mood.
• Study 1 was a survey of 1,732 healthy adults (mean age 34 years; 66% women) designed to elucidate the characteristics of people who snooze and why they choose to delay their waking in this way.
• Study 2 was a within-subject polysomnography study of 31 healthy habitual snoozers (mean age 27 years; 18 women) designed to explore the acute effects of snoozing on sleep architecture, sleepiness, cognitive ability, mood, and cortisol awakening response.

TAKEAWAY:

• Overall, 69% reported using the snooze button or setting multiple alarms at least sometimes, most often on workdays (71%), with an average snooze time per morning of 22 minutes.
• Sleep quality did not differ between snoozers and nonsnoozers, but snoozers were more likely to feel mentally drowsy on waking (odds ratio, 3.0; P < .001) and had slightly shorter sleep time on workdays (13 minutes).
• In the polysomnography study, compared with waking up abruptly, 30 minutes of snoozing in the morning improved or did not affect performance on standard cognitive tests completed directly on final awakening.
• Snoozing resulted in about 6 minutes of lost sleep, but it prevented awakening from slow-wave sleep and had no clear effects on the cortisol awakening response, morning sleepiness, mood, or overnight sleep architecture.

IN PRACTICE:

“The findings indicate that there is no reason to stop snoozing in the morning if you enjoy it, at least not for snooze times around 30 minutes. In fact, it may even help those with morning drowsiness to be slightly more awake once they get up,” corresponding author Tina Sundelin, PhD, of Stockholm University, said in a statement.

SOURCE:

The study was published online in the Journal of Sleep Research.

LIMITATIONS:

Study 1 focused on waking preferences in a convenience sample of adults. Study 2 included only habitual snoozers making it difficult to generalize the findings to people who don’t usually snooze. The study investigated only the effect of 30 minutes of snoozing on the studied parameters. It’s possible that shorter or longer snooze times have different cognitive effects.

DISCLOSURES:

Support for the study was provided by the Stress Research Institute, Stockholm University, and a grant from Vetenskapsrådet. The authors disclosed no relevant conflicts of interest.

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

TOPLINE:

Challenging conventional wisdom, new research suggests that hitting the snooze button does not lead to cognitive impairment on waking and may actually provide cognitive benefits.

METHODOLOGY:

• Researchers did two studies to determine why intermittent morning alarms are used and how they affect sleep, cognition, cortisol, and mood.
• Study 1 was a survey of 1,732 healthy adults (mean age 34 years; 66% women) designed to elucidate the characteristics of people who snooze and why they choose to delay their waking in this way.
• Study 2 was a within-subject polysomnography study of 31 healthy habitual snoozers (mean age 27 years; 18 women) designed to explore the acute effects of snoozing on sleep architecture, sleepiness, cognitive ability, mood, and cortisol awakening response.

TAKEAWAY:

• Overall, 69% reported using the snooze button or setting multiple alarms at least sometimes, most often on workdays (71%), with an average snooze time per morning of 22 minutes.
• Sleep quality did not differ between snoozers and nonsnoozers, but snoozers were more likely to feel mentally drowsy on waking (odds ratio, 3.0; P < .001) and had slightly shorter sleep time on workdays (13 minutes).
• In the polysomnography study, compared with waking up abruptly, 30 minutes of snoozing in the morning improved or did not affect performance on standard cognitive tests completed directly on final awakening.
• Snoozing resulted in about 6 minutes of lost sleep, but it prevented awakening from slow-wave sleep and had no clear effects on the cortisol awakening response, morning sleepiness, mood, or overnight sleep architecture.

IN PRACTICE:

“The findings indicate that there is no reason to stop snoozing in the morning if you enjoy it, at least not for snooze times around 30 minutes. In fact, it may even help those with morning drowsiness to be slightly more awake once they get up,” corresponding author Tina Sundelin, PhD, of Stockholm University, said in a statement.

SOURCE:

The study was published online in the Journal of Sleep Research.

LIMITATIONS:

Study 1 focused on waking preferences in a convenience sample of adults. Study 2 included only habitual snoozers making it difficult to generalize the findings to people who don’t usually snooze. The study investigated only the effect of 30 minutes of snoozing on the studied parameters. It’s possible that shorter or longer snooze times have different cognitive effects.

DISCLOSURES:

Support for the study was provided by the Stress Research Institute, Stockholm University, and a grant from Vetenskapsrådet. The authors disclosed no relevant conflicts of interest.

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

TOPLINE:

More physical activity in late childhood is associated with an increase in brain volume in regions involved in cognition, emotion, learning, and psychiatric illness.

METHODOLOGY:

• Investigators used data on 1,088 children (52% girls) in the Generation R Study, a 4-year longitudinal population-based cohort study in Rotterdam, the Netherlands.
• At age 10 years, children and their caregivers reported on children’s level of physical activity and sports involvement.
• Investigators measured changes in participants’ brain volume via MRI at ages 10 and 14 years.

TAKEAWAY:

• Every 1 additional hour per week in sports participation was associated with a 64.0-mm³ larger volume change in subcortical gray matter (P = .04).
• Every 1 additional hour per week in total physical activity was associated with a 154.0-mm³ larger volume change in total white matter (P = .02).
• Total physical activity reported by any source (P = .03) and child reports of outdoor play (P = .01) were associated with increased amygdala volume over time.
• Total physical activity reported by the children was associated with hippocampal volume increases (P = .02).

IN PRACTICE:

“Physical activity is one of the most promising environmental exposures favorably influencing health across the lifespan,” the authors write. “This study adds to prior literature by highlighting the neurodevelopmental benefits physical activity may have on the architecture of the amygdala and hippocampus.”

SOURCE:

The study was led by Fernando Estévez-López, PhD, of the Harvard T.H. Chan School of Public Health, Boston, the SPORT Research Group and CERNEP Research Center at the University of Almería (Spain), and Erasmus MC University Medical Centre, Rotterdam, the Netherlands. It was published online on in JAMA Network Open.

LIMITATIONS:

The study only accounted for confounders at baseline, does not establish causation, and utilized unvalidated questionnaires to gather information on physical activity.

DISCLOSURES:

Individual authors report receiving financial support, but there was no specific funding for this study. Dr. Estévez-López reports no relevant financial conflicts. Full disclosures are available in the original article.

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

TOPLINE:

More physical activity in late childhood is associated with an increase in brain volume in regions involved in cognition, emotion, learning, and psychiatric illness.

METHODOLOGY:

• Investigators used data on 1,088 children (52% girls) in the Generation R Study, a 4-year longitudinal population-based cohort study in Rotterdam, the Netherlands.
• At age 10 years, children and their caregivers reported on children’s level of physical activity and sports involvement.
• Investigators measured changes in participants’ brain volume via MRI at ages 10 and 14 years.

TAKEAWAY:

• Every 1 additional hour per week in sports participation was associated with a 64.0-mm³ larger volume change in subcortical gray matter (P = .04).
• Every 1 additional hour per week in total physical activity was associated with a 154.0-mm³ larger volume change in total white matter (P = .02).
• Total physical activity reported by any source (P = .03) and child reports of outdoor play (P = .01) were associated with increased amygdala volume over time.
• Total physical activity reported by the children was associated with hippocampal volume increases (P = .02).

IN PRACTICE:

“Physical activity is one of the most promising environmental exposures favorably influencing health across the lifespan,” the authors write. “This study adds to prior literature by highlighting the neurodevelopmental benefits physical activity may have on the architecture of the amygdala and hippocampus.”

SOURCE:

The study was led by Fernando Estévez-López, PhD, of the Harvard T.H. Chan School of Public Health, Boston, the SPORT Research Group and CERNEP Research Center at the University of Almería (Spain), and Erasmus MC University Medical Centre, Rotterdam, the Netherlands. It was published online on in JAMA Network Open.

LIMITATIONS:

The study only accounted for confounders at baseline, does not establish causation, and utilized unvalidated questionnaires to gather information on physical activity.

DISCLOSURES:

Individual authors report receiving financial support, but there was no specific funding for this study. Dr. Estévez-López reports no relevant financial conflicts. Full disclosures are available in the original article.

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

TOPLINE:

More physical activity in late childhood is associated with an increase in brain volume in regions involved in cognition, emotion, learning, and psychiatric illness.

METHODOLOGY:

• Investigators used data on 1,088 children (52% girls) in the Generation R Study, a 4-year longitudinal population-based cohort study in Rotterdam, the Netherlands.
• At age 10 years, children and their caregivers reported on children’s level of physical activity and sports involvement.
• Investigators measured changes in participants’ brain volume via MRI at ages 10 and 14 years.

TAKEAWAY:

• Every 1 additional hour per week in sports participation was associated with a 64.0-mm³ larger volume change in subcortical gray matter (P = .04).
• Every 1 additional hour per week in total physical activity was associated with a 154.0-mm³ larger volume change in total white matter (P = .02).
• Total physical activity reported by any source (P = .03) and child reports of outdoor play (P = .01) were associated with increased amygdala volume over time.
• Total physical activity reported by the children was associated with hippocampal volume increases (P = .02).

IN PRACTICE:

“Physical activity is one of the most promising environmental exposures favorably influencing health across the lifespan,” the authors write. “This study adds to prior literature by highlighting the neurodevelopmental benefits physical activity may have on the architecture of the amygdala and hippocampus.”

SOURCE:

The study was led by Fernando Estévez-López, PhD, of the Harvard T.H. Chan School of Public Health, Boston, the SPORT Research Group and CERNEP Research Center at the University of Almería (Spain), and Erasmus MC University Medical Centre, Rotterdam, the Netherlands. It was published online on in JAMA Network Open.

LIMITATIONS:

The study only accounted for confounders at baseline, does not establish causation, and utilized unvalidated questionnaires to gather information on physical activity.

DISCLOSURES:

Individual authors report receiving financial support, but there was no specific funding for this study. Dr. Estévez-López reports no relevant financial conflicts. Full disclosures are available in the original article.

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

PHILADELPHIA – Acute stress in peri- and postmenopausal women is associated with more depressive symptoms, while chronic stress showed greater association with memory and concentration problems, according to research presented at the annual meeting of the Menopause Society (formerly the North American Menopause Society).

“This work suggests that markers of hypothalamic-pituitary-axis activation that capture total cortisol secretion over multiple months, [such as] hair cortisol, strongly correlate with cognitive performance on attention and working memory tasks, whereas measures of more acute cortisol, [such as] salivary cortisol, may be more strongly associated with depression symptom severity and verbal learning,” Christina Metcalf, PhD, an assistant professor of psychiatry in the Colorado Center for Women’s Behavioral Health and Wellness at the University of Colorado at Denver, Aurora, told attendees. “Given the associations with chronic stress, there’s a lot of potential here to increase our knowledge about how women are doing and managing stress and life stressors during this life transition,” she said.

Measuring hair cortisol more feasible

The study was conducted remotely, with participants using video conferencing to communicate with the study personnel and then completing study procedures at home, including 2 days of cognitive testing with the California Verbal Learning Test – Third Edition and the n-back and continuous performance tasks. The participants also completed the Center for Epidemiologic Studies Depression Scale (CES-D).

Participants with higher levels of hair cortisol and salivary cortisol also had more severe depression symptoms (P < .001). Hair cortisol was also significantly associated with attention and working memory: Women with higher levels had fewer correct answers on the 0-back and 1-back trials (P < .01) and made more mistakes on the 2-back trial (P < .001). They also scored with less specificity on the continuous performance tasks (P = .022).

Although no association existed between hair cortisol levels and verbal learning or verbal memory (P > .05), participants with higher hair cortisol did score worse on the immediate recall trials (P = .034). Salivary cortisol levels, on the other hand, showed no association with memory recall trials, attention or working memory (P > .05).

Measuring cortisol from hair samples is more feasible than using saliva samples and may offer valuable insights regarding hypothalamic-pituitary-axis activity “to consider alongside the cognitive and mental health of late peri-/early postmenopausal women,” Dr. Metcalf told attendees. The next step is to find out whether the hypothalamic-pituitary-axis axis is a modifiable biomarker that can be used to improve executive function.

The study was limited by its small population, its cross-sectional design, and the lack of covariates in the current analyses.
 

Monitor symptoms in midlife

Hadine Joffe, MD, MSc, a professor of psychiatry and executive director of the Mary Horrigan Connors Center for Women’s Health and Gender Biology at Brigham and Women’s Hospital and Harvard Medical School, both in Boston, said the study findings were not surprising given how common the complaints of stress and depressive symptoms are.

“Mood changes are linked with acute, immediate cortisol levels at the same point in time, and cognitive symptoms were linked to more chronically elevated cortisol levels,” Dr. Joffe said in an interview. “Women and their providers should monitor for these challenging brain symptoms in midlife as they affect performance and quality of life and are linked with changes in the HPA axis as stress biomarkers.”

Because the study is small and has a cross-sectional design, it’s not possible to determine the direction of the associations or to make any inferences about causation, Dr. Joffe said.

“We cannot make the conclusion that stress is adversely affecting mood and cognitive performance given the design limitations. It is possible that mood and cognitive issues contributed to these stress markers,” Dr. Joffe said.“However, it is known that the experience of stress is linked with vulnerability to mood and cognitive symptoms, and also that mood and cognitive symptoms induce significant stress.”

The research was funded by the Menopause Society, Colorado University, the Ludeman Family Center for Women’s Health Research, the National Institute of Mental Health, and the National Institute of Aging. Dr. Metcalf had no disclosures. Dr. Joffe has received grant support from Merck, Pfizer and Sage, and has been a consultant or advisor for Bayer, Merck and Hello Therapeutics.

PHILADELPHIA – Acute stress in peri- and postmenopausal women is associated with more depressive symptoms, while chronic stress showed greater association with memory and concentration problems, according to research presented at the annual meeting of the Menopause Society (formerly the North American Menopause Society).

“This work suggests that markers of hypothalamic-pituitary-axis activation that capture total cortisol secretion over multiple months, [such as] hair cortisol, strongly correlate with cognitive performance on attention and working memory tasks, whereas measures of more acute cortisol, [such as] salivary cortisol, may be more strongly associated with depression symptom severity and verbal learning,” Christina Metcalf, PhD, an assistant professor of psychiatry in the Colorado Center for Women’s Behavioral Health and Wellness at the University of Colorado at Denver, Aurora, told attendees. “Given the associations with chronic stress, there’s a lot of potential here to increase our knowledge about how women are doing and managing stress and life stressors during this life transition,” she said.

Measuring hair cortisol more feasible

The study was conducted remotely, with participants using video conferencing to communicate with the study personnel and then completing study procedures at home, including 2 days of cognitive testing with the California Verbal Learning Test – Third Edition and the n-back and continuous performance tasks. The participants also completed the Center for Epidemiologic Studies Depression Scale (CES-D).

Participants with higher levels of hair cortisol and salivary cortisol also had more severe depression symptoms (P < .001). Hair cortisol was also significantly associated with attention and working memory: Women with higher levels had fewer correct answers on the 0-back and 1-back trials (P < .01) and made more mistakes on the 2-back trial (P < .001). They also scored with less specificity on the continuous performance tasks (P = .022).

Although no association existed between hair cortisol levels and verbal learning or verbal memory (P > .05), participants with higher hair cortisol did score worse on the immediate recall trials (P = .034). Salivary cortisol levels, on the other hand, showed no association with memory recall trials, attention or working memory (P > .05).

Measuring cortisol from hair samples is more feasible than using saliva samples and may offer valuable insights regarding hypothalamic-pituitary-axis activity “to consider alongside the cognitive and mental health of late peri-/early postmenopausal women,” Dr. Metcalf told attendees. The next step is to find out whether the hypothalamic-pituitary-axis axis is a modifiable biomarker that can be used to improve executive function.

The study was limited by its small population, its cross-sectional design, and the lack of covariates in the current analyses.
 

Monitor symptoms in midlife

Hadine Joffe, MD, MSc, a professor of psychiatry and executive director of the Mary Horrigan Connors Center for Women’s Health and Gender Biology at Brigham and Women’s Hospital and Harvard Medical School, both in Boston, said the study findings were not surprising given how common the complaints of stress and depressive symptoms are.

“Mood changes are linked with acute, immediate cortisol levels at the same point in time, and cognitive symptoms were linked to more chronically elevated cortisol levels,” Dr. Joffe said in an interview. “Women and their providers should monitor for these challenging brain symptoms in midlife as they affect performance and quality of life and are linked with changes in the HPA axis as stress biomarkers.”

Because the study is small and has a cross-sectional design, it’s not possible to determine the direction of the associations or to make any inferences about causation, Dr. Joffe said.

“We cannot make the conclusion that stress is adversely affecting mood and cognitive performance given the design limitations. It is possible that mood and cognitive issues contributed to these stress markers,” Dr. Joffe said.“However, it is known that the experience of stress is linked with vulnerability to mood and cognitive symptoms, and also that mood and cognitive symptoms induce significant stress.”

The research was funded by the Menopause Society, Colorado University, the Ludeman Family Center for Women’s Health Research, the National Institute of Mental Health, and the National Institute of Aging. Dr. Metcalf had no disclosures. Dr. Joffe has received grant support from Merck, Pfizer and Sage, and has been a consultant or advisor for Bayer, Merck and Hello Therapeutics.

PHILADELPHIA – Acute stress in peri- and postmenopausal women is associated with more depressive symptoms, while chronic stress showed greater association with memory and concentration problems, according to research presented at the annual meeting of the Menopause Society (formerly the North American Menopause Society).

“This work suggests that markers of hypothalamic-pituitary-axis activation that capture total cortisol secretion over multiple months, [such as] hair cortisol, strongly correlate with cognitive performance on attention and working memory tasks, whereas measures of more acute cortisol, [such as] salivary cortisol, may be more strongly associated with depression symptom severity and verbal learning,” Christina Metcalf, PhD, an assistant professor of psychiatry in the Colorado Center for Women’s Behavioral Health and Wellness at the University of Colorado at Denver, Aurora, told attendees. “Given the associations with chronic stress, there’s a lot of potential here to increase our knowledge about how women are doing and managing stress and life stressors during this life transition,” she said.

Measuring hair cortisol more feasible

The study was conducted remotely, with participants using video conferencing to communicate with the study personnel and then completing study procedures at home, including 2 days of cognitive testing with the California Verbal Learning Test – Third Edition and the n-back and continuous performance tasks. The participants also completed the Center for Epidemiologic Studies Depression Scale (CES-D).

Participants with higher levels of hair cortisol and salivary cortisol also had more severe depression symptoms (P < .001). Hair cortisol was also significantly associated with attention and working memory: Women with higher levels had fewer correct answers on the 0-back and 1-back trials (P < .01) and made more mistakes on the 2-back trial (P < .001). They also scored with less specificity on the continuous performance tasks (P = .022).

Although no association existed between hair cortisol levels and verbal learning or verbal memory (P > .05), participants with higher hair cortisol did score worse on the immediate recall trials (P = .034). Salivary cortisol levels, on the other hand, showed no association with memory recall trials, attention or working memory (P > .05).

Measuring cortisol from hair samples is more feasible than using saliva samples and may offer valuable insights regarding hypothalamic-pituitary-axis activity “to consider alongside the cognitive and mental health of late peri-/early postmenopausal women,” Dr. Metcalf told attendees. The next step is to find out whether the hypothalamic-pituitary-axis axis is a modifiable biomarker that can be used to improve executive function.

The study was limited by its small population, its cross-sectional design, and the lack of covariates in the current analyses.
 

Monitor symptoms in midlife

Hadine Joffe, MD, MSc, a professor of psychiatry and executive director of the Mary Horrigan Connors Center for Women’s Health and Gender Biology at Brigham and Women’s Hospital and Harvard Medical School, both in Boston, said the study findings were not surprising given how common the complaints of stress and depressive symptoms are.

“Mood changes are linked with acute, immediate cortisol levels at the same point in time, and cognitive symptoms were linked to more chronically elevated cortisol levels,” Dr. Joffe said in an interview. “Women and their providers should monitor for these challenging brain symptoms in midlife as they affect performance and quality of life and are linked with changes in the HPA axis as stress biomarkers.”

Because the study is small and has a cross-sectional design, it’s not possible to determine the direction of the associations or to make any inferences about causation, Dr. Joffe said.

“We cannot make the conclusion that stress is adversely affecting mood and cognitive performance given the design limitations. It is possible that mood and cognitive issues contributed to these stress markers,” Dr. Joffe said.“However, it is known that the experience of stress is linked with vulnerability to mood and cognitive symptoms, and also that mood and cognitive symptoms induce significant stress.”

The research was funded by the Menopause Society, Colorado University, the Ludeman Family Center for Women’s Health Research, the National Institute of Mental Health, and the National Institute of Aging. Dr. Metcalf had no disclosures. Dr. Joffe has received grant support from Merck, Pfizer and Sage, and has been a consultant or advisor for Bayer, Merck and Hello Therapeutics.

TOPLINE:

Risk of death by suicide was lower among U.S. veterans with a disability, compared with nonveterans with a disability, new data from the 2015-2020 National Survey on Drug Use and Health show. Investigators speculate that veteran status may mitigate suicide risk given increased provision of disability-related care through the Department of Veterans Affairs, but they acknowledge that more research is needed to confirm this theory.

METHODOLOGY:

• The study includes analysis of self-reported data collected from 2015 to 2020 from 231,000 NSDUH respondents, 9% of whom were veterans; 20% reported at least one disability.
• Respondents were asked questions about suicide, veteran status, and the number and type of disability they had, if applicable.
• Disabilities included those related to hearing, sight, and concentration, memory, decision-making, ambulation, or functional status (at home or outside the home).

TAKEAWAY:

• Overall, 4.4% of the sample reported suicide ideation, planning, or attempt.
• Among participants with one disability, being a veteran was associated with a 43% lower risk of suicide planning (adjusted odds ratio, 0.57; P = .03).
• Among those with two disabilities, veterans had a 54% lower likelihood of having a history of suicide attempt, compared with nonveterans (aOR, 0.46; P = .02).
• Compared with U.S. veterans reporting 1, 2, and ≥ 3 disabilities, U.S. veterans with no disabilities were 50%, 160%, and 127% more likely, respectively, to report suicidal ideation.

IN PRACTICE:

“The observed buffering effect of veteran status among people with a disability may be reflective of characteristics of disability-related care offered through the Department of Veterans Affairs,” the authors write. “It is possible that VA services could act as a protective factor for suicide-related outcomes for veterans with disabilities by improving access, quality of care, and understanding of their disability context.”

SOURCE:

Rebecca K. Blais, PhD, of Arizona State University, Tempe, led the study, which was published online in JAMA Network Open.

LIMITATIONS:

Assessments were based on self-reported information and there was no information about disability severity, which may have influenced suicide risk among veterans and nonveterans.

DISCLOSURES:

Coauthor Anne Kirby, PhD, received grants from the National Institute of Mental Health during the conduct of the study as well as grants from the U.S. Centers for Disease Control and Prevention and personal fees from University of Pittsburgh outside the submitted work. No other disclosures were reported.

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

TOPLINE:

Risk of death by suicide was lower among U.S. veterans with a disability, compared with nonveterans with a disability, new data from the 2015-2020 National Survey on Drug Use and Health show. Investigators speculate that veteran status may mitigate suicide risk given increased provision of disability-related care through the Department of Veterans Affairs, but they acknowledge that more research is needed to confirm this theory.

METHODOLOGY:

• The study includes analysis of self-reported data collected from 2015 to 2020 from 231,000 NSDUH respondents, 9% of whom were veterans; 20% reported at least one disability.
• Respondents were asked questions about suicide, veteran status, and the number and type of disability they had, if applicable.
• Disabilities included those related to hearing, sight, and concentration, memory, decision-making, ambulation, or functional status (at home or outside the home).

TAKEAWAY:

• Overall, 4.4% of the sample reported suicide ideation, planning, or attempt.
• Among participants with one disability, being a veteran was associated with a 43% lower risk of suicide planning (adjusted odds ratio, 0.57; P = .03).
• Among those with two disabilities, veterans had a 54% lower likelihood of having a history of suicide attempt, compared with nonveterans (aOR, 0.46; P = .02).
• Compared with U.S. veterans reporting 1, 2, and ≥ 3 disabilities, U.S. veterans with no disabilities were 50%, 160%, and 127% more likely, respectively, to report suicidal ideation.

IN PRACTICE:

“The observed buffering effect of veteran status among people with a disability may be reflective of characteristics of disability-related care offered through the Department of Veterans Affairs,” the authors write. “It is possible that VA services could act as a protective factor for suicide-related outcomes for veterans with disabilities by improving access, quality of care, and understanding of their disability context.”

SOURCE:

Rebecca K. Blais, PhD, of Arizona State University, Tempe, led the study, which was published online in JAMA Network Open.

LIMITATIONS:

Assessments were based on self-reported information and there was no information about disability severity, which may have influenced suicide risk among veterans and nonveterans.

DISCLOSURES:

Coauthor Anne Kirby, PhD, received grants from the National Institute of Mental Health during the conduct of the study as well as grants from the U.S. Centers for Disease Control and Prevention and personal fees from University of Pittsburgh outside the submitted work. No other disclosures were reported.

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

TOPLINE:

Risk of death by suicide was lower among U.S. veterans with a disability, compared with nonveterans with a disability, new data from the 2015-2020 National Survey on Drug Use and Health show. Investigators speculate that veteran status may mitigate suicide risk given increased provision of disability-related care through the Department of Veterans Affairs, but they acknowledge that more research is needed to confirm this theory.

METHODOLOGY:

• The study includes analysis of self-reported data collected from 2015 to 2020 from 231,000 NSDUH respondents, 9% of whom were veterans; 20% reported at least one disability.
• Respondents were asked questions about suicide, veteran status, and the number and type of disability they had, if applicable.
• Disabilities included those related to hearing, sight, and concentration, memory, decision-making, ambulation, or functional status (at home or outside the home).

TAKEAWAY:

• Overall, 4.4% of the sample reported suicide ideation, planning, or attempt.
• Among participants with one disability, being a veteran was associated with a 43% lower risk of suicide planning (adjusted odds ratio, 0.57; P = .03).
• Among those with two disabilities, veterans had a 54% lower likelihood of having a history of suicide attempt, compared with nonveterans (aOR, 0.46; P = .02).
• Compared with U.S. veterans reporting 1, 2, and ≥ 3 disabilities, U.S. veterans with no disabilities were 50%, 160%, and 127% more likely, respectively, to report suicidal ideation.

IN PRACTICE:

“The observed buffering effect of veteran status among people with a disability may be reflective of characteristics of disability-related care offered through the Department of Veterans Affairs,” the authors write. “It is possible that VA services could act as a protective factor for suicide-related outcomes for veterans with disabilities by improving access, quality of care, and understanding of their disability context.”

SOURCE:

Rebecca K. Blais, PhD, of Arizona State University, Tempe, led the study, which was published online in JAMA Network Open.

LIMITATIONS:

Assessments were based on self-reported information and there was no information about disability severity, which may have influenced suicide risk among veterans and nonveterans.

DISCLOSURES:

Coauthor Anne Kirby, PhD, received grants from the National Institute of Mental Health during the conduct of the study as well as grants from the U.S. Centers for Disease Control and Prevention and personal fees from University of Pittsburgh outside the submitted work. No other disclosures were reported.

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

VANCOUVER – The use of tricyclic antidepressants (TCAs) conferred the highest risk for a new, first-time clinical fracture in people with type 2 diabetes with overweight or obesity, independent of any prevalent neuropathy, according to findings from an analysis of a large, randomized clinical trial.

Although the findings are suggestive, they don’t definitively pin blame on TCAs, said Rachel Elam, MD, who presented the study at the annual meeting of the American Society for Bone and Mineral Research. “I think that there’s not enough information to conclude that tricyclic antidepressants directly lead to fractures, but I think it opens the door [to] something we should look into more. Is it being mediated by a better predictor, or is it the medication itself? I think it’s more hypothesis generating,” said Dr. Elam, an assistant professor of medicine in the division of rheumatology at the Medical College of Georgia, Augusta.

Patients with type 2 diabetes are known to be at increased risk of fracture, but prediction tools tend to underestimate this risk, Dr. Elam said. “Type 2 diabetes–specific clinical risk factors may be helpful for finding out fracture risk in this population,” Dr. Elam said during her talk.

Glycemic control is one candidate risk factor because advanced glycation end products are linked to reduced bone strength. Other factors include antidiabetic medication use, neuropathy, and microvascular disease, which has been linked to increased cortical porosity.

The study examined a somewhat younger population than previous surveys, having drawn from the Look AHEAD-C clinical trial, which examined the effects of an intensive lifestyle intervention on type 2 diabetes. Look AHEAD-C included 4,697 participants aged 45-75 from 16 U.S. clinical sites. Participants had a body mass index of 25.0 kg/m² or higher and hemoglobin A1c levels of 11% or below.

Dr. Elam cited the database’s inclusion of factors like A1c levels, renal parameters, and diabetic neuropathy. “It gave us a really good population to look at those risk factors” in a large group of people with type 2 diabetes, she said.

Over a median follow-up of 16.6 years, there were 649 participants with incident first clinical fracture(s). Statistically significant factors predicting fracture risk included TCA use (hazard ratio, 2.24; 95% confidence interval, 1.14-4.43), female gender (HR, 2.20; 95% CI, 1.83-2.66), insulin use (HR, 1.26; 95% CI, 1.02-1.57), increases in A1c level (per 1% increase: HR, 1.12; 95% CI, 1.04-1.20), age (HR, 1.02; 95% CI, 1.01-1.04), other or mixed race/ethnicity (HR, 0.68; 95% CI, 0.52-0.87), Hispanic White race/ethnicity (HR, 0.60; 95% CI, 0.39-0.91), non-Hispanic Black race/ethnicity (HR, 0.35; 95% CI, 0.26-0.47), and estrogen use (HR, 0.65; 95% CI, 0.44-0.98).

During the Q&A session following the presentation, Elsa Strotmeyer, PhD, commented that TCAs have been linked to central nervous system pathways in falls in other populations. “It’s a very nice study. It’s important to look at the diabetes complications related to the fracture risk, but I thought that they should have emphasized some more of the diabetes complications being related to fracture rather than these tricyclic antidepressants, because that is not a unique factor to that population,” said Dr. Strotmeyer, who is an associate professor of epidemiology at the University of Pittsburgh.

Instead, she noted a different strength of the study. “The study population is important because they’re a relatively young population with type 2 diabetes, compared to many studies [that] have been published in older populations. Showing similar things that we found in older populations was the unique piece and the important piece of this study,” Dr. Strotmeyer said.

Ultimately, the model wasn’t sufficient to be used as a fall risk predictor, but it should inform future work, according to Dr. Elam. “I think it does lay some new groundwork that when we’re looking forward, it may [help in building] other models to better predict fracture risk in type 2 diabetes. Things that would be important to include [in future models] would be medication use, such as tricyclic antidepressants,” and to make sure we include glycemic control, A1c, and insulin medication.

The study was independently funded. Dr. Elam and Dr. Strotmeyer report no relevant financial relationships.

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

VANCOUVER – The use of tricyclic antidepressants (TCAs) conferred the highest risk for a new, first-time clinical fracture in people with type 2 diabetes with overweight or obesity, independent of any prevalent neuropathy, according to findings from an analysis of a large, randomized clinical trial.

Although the findings are suggestive, they don’t definitively pin blame on TCAs, said Rachel Elam, MD, who presented the study at the annual meeting of the American Society for Bone and Mineral Research. “I think that there’s not enough information to conclude that tricyclic antidepressants directly lead to fractures, but I think it opens the door [to] something we should look into more. Is it being mediated by a better predictor, or is it the medication itself? I think it’s more hypothesis generating,” said Dr. Elam, an assistant professor of medicine in the division of rheumatology at the Medical College of Georgia, Augusta.

Patients with type 2 diabetes are known to be at increased risk of fracture, but prediction tools tend to underestimate this risk, Dr. Elam said. “Type 2 diabetes–specific clinical risk factors may be helpful for finding out fracture risk in this population,” Dr. Elam said during her talk.

Glycemic control is one candidate risk factor because advanced glycation end products are linked to reduced bone strength. Other factors include antidiabetic medication use, neuropathy, and microvascular disease, which has been linked to increased cortical porosity.

The study examined a somewhat younger population than previous surveys, having drawn from the Look AHEAD-C clinical trial, which examined the effects of an intensive lifestyle intervention on type 2 diabetes. Look AHEAD-C included 4,697 participants aged 45-75 from 16 U.S. clinical sites. Participants had a body mass index of 25.0 kg/m² or higher and hemoglobin A1c levels of 11% or below.

Dr. Elam cited the database’s inclusion of factors like A1c levels, renal parameters, and diabetic neuropathy. “It gave us a really good population to look at those risk factors” in a large group of people with type 2 diabetes, she said.

Over a median follow-up of 16.6 years, there were 649 participants with incident first clinical fracture(s). Statistically significant factors predicting fracture risk included TCA use (hazard ratio, 2.24; 95% confidence interval, 1.14-4.43), female gender (HR, 2.20; 95% CI, 1.83-2.66), insulin use (HR, 1.26; 95% CI, 1.02-1.57), increases in A1c level (per 1% increase: HR, 1.12; 95% CI, 1.04-1.20), age (HR, 1.02; 95% CI, 1.01-1.04), other or mixed race/ethnicity (HR, 0.68; 95% CI, 0.52-0.87), Hispanic White race/ethnicity (HR, 0.60; 95% CI, 0.39-0.91), non-Hispanic Black race/ethnicity (HR, 0.35; 95% CI, 0.26-0.47), and estrogen use (HR, 0.65; 95% CI, 0.44-0.98).

During the Q&A session following the presentation, Elsa Strotmeyer, PhD, commented that TCAs have been linked to central nervous system pathways in falls in other populations. “It’s a very nice study. It’s important to look at the diabetes complications related to the fracture risk, but I thought that they should have emphasized some more of the diabetes complications being related to fracture rather than these tricyclic antidepressants, because that is not a unique factor to that population,” said Dr. Strotmeyer, who is an associate professor of epidemiology at the University of Pittsburgh.

Instead, she noted a different strength of the study. “The study population is important because they’re a relatively young population with type 2 diabetes, compared to many studies [that] have been published in older populations. Showing similar things that we found in older populations was the unique piece and the important piece of this study,” Dr. Strotmeyer said.

Ultimately, the model wasn’t sufficient to be used as a fall risk predictor, but it should inform future work, according to Dr. Elam. “I think it does lay some new groundwork that when we’re looking forward, it may [help in building] other models to better predict fracture risk in type 2 diabetes. Things that would be important to include [in future models] would be medication use, such as tricyclic antidepressants,” and to make sure we include glycemic control, A1c, and insulin medication.

The study was independently funded. Dr. Elam and Dr. Strotmeyer report no relevant financial relationships.

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

VANCOUVER – The use of tricyclic antidepressants (TCAs) conferred the highest risk for a new, first-time clinical fracture in people with type 2 diabetes with overweight or obesity, independent of any prevalent neuropathy, according to findings from an analysis of a large, randomized clinical trial.

Although the findings are suggestive, they don’t definitively pin blame on TCAs, said Rachel Elam, MD, who presented the study at the annual meeting of the American Society for Bone and Mineral Research. “I think that there’s not enough information to conclude that tricyclic antidepressants directly lead to fractures, but I think it opens the door [to] something we should look into more. Is it being mediated by a better predictor, or is it the medication itself? I think it’s more hypothesis generating,” said Dr. Elam, an assistant professor of medicine in the division of rheumatology at the Medical College of Georgia, Augusta.

Patients with type 2 diabetes are known to be at increased risk of fracture, but prediction tools tend to underestimate this risk, Dr. Elam said. “Type 2 diabetes–specific clinical risk factors may be helpful for finding out fracture risk in this population,” Dr. Elam said during her talk.

Glycemic control is one candidate risk factor because advanced glycation end products are linked to reduced bone strength. Other factors include antidiabetic medication use, neuropathy, and microvascular disease, which has been linked to increased cortical porosity.

The study examined a somewhat younger population than previous surveys, having drawn from the Look AHEAD-C clinical trial, which examined the effects of an intensive lifestyle intervention on type 2 diabetes. Look AHEAD-C included 4,697 participants aged 45-75 from 16 U.S. clinical sites. Participants had a body mass index of 25.0 kg/m² or higher and hemoglobin A1c levels of 11% or below.

Dr. Elam cited the database’s inclusion of factors like A1c levels, renal parameters, and diabetic neuropathy. “It gave us a really good population to look at those risk factors” in a large group of people with type 2 diabetes, she said.

Over a median follow-up of 16.6 years, there were 649 participants with incident first clinical fracture(s). Statistically significant factors predicting fracture risk included TCA use (hazard ratio, 2.24; 95% confidence interval, 1.14-4.43), female gender (HR, 2.20; 95% CI, 1.83-2.66), insulin use (HR, 1.26; 95% CI, 1.02-1.57), increases in A1c level (per 1% increase: HR, 1.12; 95% CI, 1.04-1.20), age (HR, 1.02; 95% CI, 1.01-1.04), other or mixed race/ethnicity (HR, 0.68; 95% CI, 0.52-0.87), Hispanic White race/ethnicity (HR, 0.60; 95% CI, 0.39-0.91), non-Hispanic Black race/ethnicity (HR, 0.35; 95% CI, 0.26-0.47), and estrogen use (HR, 0.65; 95% CI, 0.44-0.98).

During the Q&A session following the presentation, Elsa Strotmeyer, PhD, commented that TCAs have been linked to central nervous system pathways in falls in other populations. “It’s a very nice study. It’s important to look at the diabetes complications related to the fracture risk, but I thought that they should have emphasized some more of the diabetes complications being related to fracture rather than these tricyclic antidepressants, because that is not a unique factor to that population,” said Dr. Strotmeyer, who is an associate professor of epidemiology at the University of Pittsburgh.

Instead, she noted a different strength of the study. “The study population is important because they’re a relatively young population with type 2 diabetes, compared to many studies [that] have been published in older populations. Showing similar things that we found in older populations was the unique piece and the important piece of this study,” Dr. Strotmeyer said.

Ultimately, the model wasn’t sufficient to be used as a fall risk predictor, but it should inform future work, according to Dr. Elam. “I think it does lay some new groundwork that when we’re looking forward, it may [help in building] other models to better predict fracture risk in type 2 diabetes. Things that would be important to include [in future models] would be medication use, such as tricyclic antidepressants,” and to make sure we include glycemic control, A1c, and insulin medication.

The study was independently funded. Dr. Elam and Dr. Strotmeyer report no relevant financial relationships.

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

WASHINGTON – Children of fathers who develop postpartum depression are more likely to experience multiple adverse childhood experiences by the time they’re 5 years old, according to research presented at the annual meeting of the American Academy of Pediatrics.

Paternal depression and adverse childhood experiences

The study involved an analysis of six waves of data from the Future of Families & Child Wellbeing Study, which follows a national cohort of children born in large U.S. cities between 1998 and 2000. The cohort includes an intentional over-representation of unmarried mothers, who make up about 75% of the overall population.

The researchers used the World Health Organization’s Composite International Diagnosis Interview Short Form (CIDI-SF) to assess fathers’ depression when their children were 1 year old. Then the researchers looked at the number of adverse childhood experiences (ACEs) children had at 5 years old.

The analysis was adjusted to account for the child’s sex and the father’s age, race/ethnicity, and education as well as whether he was born inside or outside the United States. The findings were also adjusted for the whether the child’s parents were married or cohabiting, whether the child had low birth weight, whether the birth was covered by Medicaid, and whether the mother had postpartum depression.

Among the 1,933 pairs of fathers and children in the analysis, nearly half the fathers were non-Hispanic Black (48%) and more than half (64%) had a high school education or lower level of education. Medicaid paid for half the children’s births.

Nine percent of the fathers experienced depression during their child’s first year, and 70% of the children had at least one ACE at 5 years old. Two in five children (39%) had two ACEs at age 5, and 21% of children had three ACEs.

Children were twice as likely to have three ACEs at 5 years old if their father had depression during the child’s first year (adjusted odds ratio, 2.04; 95% confidence interval, 1.42-2.93). Paternal depression was also significantly associated with children having one ACE (OR, 2.35; 95% CI, 1.45-3.81) and two ACES (OR, 1.89; 95% CI, 1.35-2.63) at age 5.

The ACE with the highest association with paternal depression was the father’s absence from children’s lives (aOR, 2.65; 95% CI, 1.74-4.04). In addition, children of fathers with depression had 60% greater odds of exposure to substance use (aOR, 1.6; 95% CI, 1.08-2.34).

Children also had greater odds of child maltreatment at age 5 if their father had depression in their child’s first year. Odds were greater for psychological maltreatment (aOR, 1.55; 95% CI, 1.02-2.34), neglect (aOR, 1.63; 95% CI, 1.08-2.46), and physical maltreatment (aOR, 1.56; 95% CI, 1.04-2.35). The researchers did not find any association between paternal depression and the ACEs of sexual maltreatment, maternal depression, incarceration of someone in the home, or violence toward the mother.

”We know that dads play a critical role in the family,” Dr. Schmitz said. “We as pediatricians have a really unique position with families, and we should capitalize on that opportunity to engage with fathers just like we do with mothers and postpartum depression. Hopefully by doing that, we’ll reduce hardships for children and families down the road.”

Dr. Schmitz also said it’s important for pediatricians to advocate at a policy level “to really include dads more explicitly in maternal and child health policy and advocate for better father-focused interventions from father-focused research.” She further acknowledged the stigma that exists around men’s mental health in general and the need to find out the best ways to help overcome that stigma.
 

‘Concerning’ findings may suggest a need for screening

Jason Terk, MD, a pediatrician practicing in north Texas and past president of the Texas Pediatric Society, was not surprised to see a link between depression in fathers and adversity in their children. Dr. Terk was not involved in the research but noted that the 9% rate of paternal depression seen in the study is similar to national rates of depression in U.S. adults.

“I think that the presence of paternal depression being associated with ACEs in their children in their first 5 years of life is certainly concerning and worthy of intervention for both the fathers and their children,” Dr. Terk said. “The key take-home message for clinicians who care for infants and small children is that the presence of paternal depression should increase awareness of adverse effects on those children. We need to consider screening for this at 12 months of age in much the same way we screen for maternal depression for younger infants.”

Dr. Terk noted one limitation of the study was that it didn’t suggest any specific risk factors pediatricians might look for to increase surveillance of potential depression in fathers.

“Also, unlike maternal depression, in which moms may be connected with their obstetricians if they screen positive on an Edinburgh questionnaire, we will be hard-pressed to know where to refer dads who are found to be depressed when their babies are 12 months old,” Dr. Terk said. “Screening must lead to helpful responses if the screening reveals a problem.”

The research was funded by the Robert Wood Johnson Foundation, the National Institutes of Health, and the Health Resources and Services Administration. Dr. Schmitz had no disclosures. Dr. Terk has been a speaker for Sanofi on a topic unrelated to this research.

WASHINGTON – Children of fathers who develop postpartum depression are more likely to experience multiple adverse childhood experiences by the time they’re 5 years old, according to research presented at the annual meeting of the American Academy of Pediatrics.

Paternal depression and adverse childhood experiences

The study involved an analysis of six waves of data from the Future of Families & Child Wellbeing Study, which follows a national cohort of children born in large U.S. cities between 1998 and 2000. The cohort includes an intentional over-representation of unmarried mothers, who make up about 75% of the overall population.

The researchers used the World Health Organization’s Composite International Diagnosis Interview Short Form (CIDI-SF) to assess fathers’ depression when their children were 1 year old. Then the researchers looked at the number of adverse childhood experiences (ACEs) children had at 5 years old.

The analysis was adjusted to account for the child’s sex and the father’s age, race/ethnicity, and education as well as whether he was born inside or outside the United States. The findings were also adjusted for the whether the child’s parents were married or cohabiting, whether the child had low birth weight, whether the birth was covered by Medicaid, and whether the mother had postpartum depression.

Among the 1,933 pairs of fathers and children in the analysis, nearly half the fathers were non-Hispanic Black (48%) and more than half (64%) had a high school education or lower level of education. Medicaid paid for half the children’s births.

Nine percent of the fathers experienced depression during their child’s first year, and 70% of the children had at least one ACE at 5 years old. Two in five children (39%) had two ACEs at age 5, and 21% of children had three ACEs.

Children were twice as likely to have three ACEs at 5 years old if their father had depression during the child’s first year (adjusted odds ratio, 2.04; 95% confidence interval, 1.42-2.93). Paternal depression was also significantly associated with children having one ACE (OR, 2.35; 95% CI, 1.45-3.81) and two ACES (OR, 1.89; 95% CI, 1.35-2.63) at age 5.

The ACE with the highest association with paternal depression was the father’s absence from children’s lives (aOR, 2.65; 95% CI, 1.74-4.04). In addition, children of fathers with depression had 60% greater odds of exposure to substance use (aOR, 1.6; 95% CI, 1.08-2.34).

Children also had greater odds of child maltreatment at age 5 if their father had depression in their child’s first year. Odds were greater for psychological maltreatment (aOR, 1.55; 95% CI, 1.02-2.34), neglect (aOR, 1.63; 95% CI, 1.08-2.46), and physical maltreatment (aOR, 1.56; 95% CI, 1.04-2.35). The researchers did not find any association between paternal depression and the ACEs of sexual maltreatment, maternal depression, incarceration of someone in the home, or violence toward the mother.

”We know that dads play a critical role in the family,” Dr. Schmitz said. “We as pediatricians have a really unique position with families, and we should capitalize on that opportunity to engage with fathers just like we do with mothers and postpartum depression. Hopefully by doing that, we’ll reduce hardships for children and families down the road.”

Dr. Schmitz also said it’s important for pediatricians to advocate at a policy level “to really include dads more explicitly in maternal and child health policy and advocate for better father-focused interventions from father-focused research.” She further acknowledged the stigma that exists around men’s mental health in general and the need to find out the best ways to help overcome that stigma.
 

‘Concerning’ findings may suggest a need for screening

Jason Terk, MD, a pediatrician practicing in north Texas and past president of the Texas Pediatric Society, was not surprised to see a link between depression in fathers and adversity in their children. Dr. Terk was not involved in the research but noted that the 9% rate of paternal depression seen in the study is similar to national rates of depression in U.S. adults.

“I think that the presence of paternal depression being associated with ACEs in their children in their first 5 years of life is certainly concerning and worthy of intervention for both the fathers and their children,” Dr. Terk said. “The key take-home message for clinicians who care for infants and small children is that the presence of paternal depression should increase awareness of adverse effects on those children. We need to consider screening for this at 12 months of age in much the same way we screen for maternal depression for younger infants.”

Dr. Terk noted one limitation of the study was that it didn’t suggest any specific risk factors pediatricians might look for to increase surveillance of potential depression in fathers.

“Also, unlike maternal depression, in which moms may be connected with their obstetricians if they screen positive on an Edinburgh questionnaire, we will be hard-pressed to know where to refer dads who are found to be depressed when their babies are 12 months old,” Dr. Terk said. “Screening must lead to helpful responses if the screening reveals a problem.”

The research was funded by the Robert Wood Johnson Foundation, the National Institutes of Health, and the Health Resources and Services Administration. Dr. Schmitz had no disclosures. Dr. Terk has been a speaker for Sanofi on a topic unrelated to this research.

WASHINGTON – Children of fathers who develop postpartum depression are more likely to experience multiple adverse childhood experiences by the time they’re 5 years old, according to research presented at the annual meeting of the American Academy of Pediatrics.

Paternal depression and adverse childhood experiences

The study involved an analysis of six waves of data from the Future of Families & Child Wellbeing Study, which follows a national cohort of children born in large U.S. cities between 1998 and 2000. The cohort includes an intentional over-representation of unmarried mothers, who make up about 75% of the overall population.

The researchers used the World Health Organization’s Composite International Diagnosis Interview Short Form (CIDI-SF) to assess fathers’ depression when their children were 1 year old. Then the researchers looked at the number of adverse childhood experiences (ACEs) children had at 5 years old.

The analysis was adjusted to account for the child’s sex and the father’s age, race/ethnicity, and education as well as whether he was born inside or outside the United States. The findings were also adjusted for the whether the child’s parents were married or cohabiting, whether the child had low birth weight, whether the birth was covered by Medicaid, and whether the mother had postpartum depression.

Among the 1,933 pairs of fathers and children in the analysis, nearly half the fathers were non-Hispanic Black (48%) and more than half (64%) had a high school education or lower level of education. Medicaid paid for half the children’s births.

Nine percent of the fathers experienced depression during their child’s first year, and 70% of the children had at least one ACE at 5 years old. Two in five children (39%) had two ACEs at age 5, and 21% of children had three ACEs.

Children were twice as likely to have three ACEs at 5 years old if their father had depression during the child’s first year (adjusted odds ratio, 2.04; 95% confidence interval, 1.42-2.93). Paternal depression was also significantly associated with children having one ACE (OR, 2.35; 95% CI, 1.45-3.81) and two ACES (OR, 1.89; 95% CI, 1.35-2.63) at age 5.

The ACE with the highest association with paternal depression was the father’s absence from children’s lives (aOR, 2.65; 95% CI, 1.74-4.04). In addition, children of fathers with depression had 60% greater odds of exposure to substance use (aOR, 1.6; 95% CI, 1.08-2.34).

Children also had greater odds of child maltreatment at age 5 if their father had depression in their child’s first year. Odds were greater for psychological maltreatment (aOR, 1.55; 95% CI, 1.02-2.34), neglect (aOR, 1.63; 95% CI, 1.08-2.46), and physical maltreatment (aOR, 1.56; 95% CI, 1.04-2.35). The researchers did not find any association between paternal depression and the ACEs of sexual maltreatment, maternal depression, incarceration of someone in the home, or violence toward the mother.

”We know that dads play a critical role in the family,” Dr. Schmitz said. “We as pediatricians have a really unique position with families, and we should capitalize on that opportunity to engage with fathers just like we do with mothers and postpartum depression. Hopefully by doing that, we’ll reduce hardships for children and families down the road.”

Dr. Schmitz also said it’s important for pediatricians to advocate at a policy level “to really include dads more explicitly in maternal and child health policy and advocate for better father-focused interventions from father-focused research.” She further acknowledged the stigma that exists around men’s mental health in general and the need to find out the best ways to help overcome that stigma.
 

‘Concerning’ findings may suggest a need for screening

Jason Terk, MD, a pediatrician practicing in north Texas and past president of the Texas Pediatric Society, was not surprised to see a link between depression in fathers and adversity in their children. Dr. Terk was not involved in the research but noted that the 9% rate of paternal depression seen in the study is similar to national rates of depression in U.S. adults.

“I think that the presence of paternal depression being associated with ACEs in their children in their first 5 years of life is certainly concerning and worthy of intervention for both the fathers and their children,” Dr. Terk said. “The key take-home message for clinicians who care for infants and small children is that the presence of paternal depression should increase awareness of adverse effects on those children. We need to consider screening for this at 12 months of age in much the same way we screen for maternal depression for younger infants.”

Dr. Terk noted one limitation of the study was that it didn’t suggest any specific risk factors pediatricians might look for to increase surveillance of potential depression in fathers.

“Also, unlike maternal depression, in which moms may be connected with their obstetricians if they screen positive on an Edinburgh questionnaire, we will be hard-pressed to know where to refer dads who are found to be depressed when their babies are 12 months old,” Dr. Terk said. “Screening must lead to helpful responses if the screening reveals a problem.”

The research was funded by the Robert Wood Johnson Foundation, the National Institutes of Health, and the Health Resources and Services Administration. Dr. Schmitz had no disclosures. Dr. Terk has been a speaker for Sanofi on a topic unrelated to this research.