News Release

Poor sleep quality increases suicide risk for older adults, Stanford researcher finds

Peer-Reviewed Publication

Stanford Medicine

Older adults suffering from sleep disturbances are more likely to die by suicide than well-rested adults, according to a study led by a researcher at the Stanford University School of Medicine.

"This is important because sleep disturbances are highly treatable, yet arguably less stigmatizing than many other suicide risk factors," said Rebecca Bernert, PhD, lead author of the study. Bernert is an instructor of psychiatry and behavioral sciences and director of the Suicide Prevention Research Laboratory at Stanford.

The study will be published Aug. 13 in JAMA Psychiatry.

Bernert said older adults have disproportionately higher rates of suicide risk compared to other age groups, making suicide prevention in elderly populations a pressing public health challenge.

Using data from an epidemiological study of 14,456 adults aged 65 and older, Bernert and her colleagues compared the sleep quality of 20 who died by suicide with the sleep patterns of 400 similar individuals over a 10-year period.

They found that participants reporting poor sleep had a 1.4 times greater chance of death by suicide within a 10-year period than participants who reported sleeping well.

The study confirmed the relationship between depression and suicide risk, while also assessing poor sleep as an independent risk factor. "Our findings suggest that poor sleep quality may serve as a stand-alone risk factor for late-life suicide," Bernert said.

Surprisingly, the study found that, when comparing the two risk factors, poor sleep predicted risk better than depressive symptoms. The combination of poor sleep and depressed mood was the strongest predictor of suicide risk.

"Suicide is the outcome of multiple, often interacting biological, psychological and social risk factors," Bernert said. "Disturbed sleep stands apart as a risk factor and warning sign in that it may be undone, which highlights its importance as a screening tool and potential treatment target in suicide prevention.

"Suicide is preventable," she added. "Yet interventions for suicide prevention are alarmingly scarce."

Bernert has two studies now underway testing the effectiveness of an insomnia treatment for the prevention of depression and suicidal behaviors.

Most of the study's suicide decedents were white men, which reflects a group at heightened risk for suicide in the general population, Bernert said, noting that additional research is needed to see if the correlation between disturbed sleep and suicide risk extends to women, minorities and younger adults or teenagers.

Bernert recommended organizations such as the American Foundation for Suicide Prevention and the National Suicide Prevention Lifeline (1-800-273-TALK) as resources for people who are struggling with thoughts of suicide.

###

Other co-authors of the study are affiliated with the University of Iowa, the University of Rochester and Florida State University.

This study was supported by the National Institutes of Health (grants F31MH080470 and K23MH093490), the U.S. Centers for Disease Control and Prevention and the John Simon Guggenheim Memorial Foundation.

Information about Stanford's Department of Psychiatry and Behavioral Sciences, which also supported the research, is available at http://psychiatry.stanford.edu.

The Stanford University School of Medicine consistently ranks among the nation's top medical schools, integrating research, medical education, patient care and community service. For more news about the school, please visit http://mednews.stanford.edu. The medical school is part of Stanford Medicine, which includes Stanford Hospital & Clinics and Lucile Packard Children's Hospital Stanford.

For information about all three, please visit http://stanfordmedicine.org/about/news.html.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.