Kyle J. Bourassa , Paul A. Dennis , Pujan Patel , Xue J. Qin , David A. Sbarra , Elizabeth R. Hauser , Allison E. Ashley-Koch , Million Veteran Program , Jean C. Beckham , Nathan A. Kimbrel
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引用次数: 0
Abstract
People with lower levels of social connection are at increased risk for suicidal thoughts and behaviors. This extends to populations at greater risk of death by suicide, including U.S. military veterans. Despite this well-established association, it is unclear which measures of social connection are most useful in identifying veterans who could benefit from intervention to prevent suicide. To this end, we used data from the Million Veteran Program (MVP) to investigate the measures of social connection most strongly associated with suicidal thoughts and behaviors. Our sample included 264,626 veterans who reported on three measures of social connection—marital status, household size, and perceived social support—and were assessed for suicidal thoughts and behaviors using electronic health records. Veterans who were partnered (OR = 0.78, 95% CI [0.76–0.80], p < .001), living with others (OR = 0.71, 95% CI [0.70–0.73], p < .001), or reported higher levels of social support (OR = 0.67, 95% CI [0.65–0.69], p < .001), were less likely to have suicidal thoughts and behaviors. These associations varied by veterans’ age, sex, and era of military service. When combined into a single risk score, lower levels of social connection were associated with greater likelihood of suicidal thoughts and behaviors (β = 1.42, 95% CI [1.40–1.43], p < .001). Social support, particularly positive social interactions, showed the strongest associations with suicidal thoughts and behaviors in elastic net regression models. Common measures of social connection, particularly social support, could be useful in assessing suicide risk and treatment needs for veterans.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;