Suicide risk profiles among service members and veterans exposed to suicide

Author:

Peterson Amanda1ORCID,Chen Jason2,Bozzay Melanie3,Bender Ansley4,Chu Carol1

Affiliation:

1. Minneapolis VA Health Care System Minneapolis Minnesota USA

2. Portland VA Health Care System Portland Oregon USA

3. Department of Psychiatry and Human Behavior, Brown University Providence Rhode Island USA

4. Department of Psychology University of South Florida Tampa Florida USA

Abstract

AbstractObjectivesRates of suicide exposure are high among service members and Veterans and are especially concerning given the link between suicide exposure and subsequent suicide risk. However, to date, it is unclear which individuals who are exposed to suicide are subsequently at high risk for suicide. Latent profile analysis (LPA) can provide information on unique risk profiles and subgroups of service members and Veterans who have higher suicide risk after suicide exposure, which has not yet been empirically studied. The purpose of this study was to utilize LPA to identify subgroups of service members and Veterans who are at the highest risk for suicidal thoughts and behaviors following suicide exposure.MethodsWe analyzed data using LPA from 2570 service members and Veterans (82.1% male, 69.5% White, and 12.1% Latino/a/x) who completed the Military Suicide Research Consortium's Common Data Elements, a battery of self‐report suicide‐related measures. Psychopathology, substance use, mental health service utilization, interpersonal theory of suicide, and suicide exposure variables were used to validate classes.ResultsThree latent classes emerged from analyses, one low‐risk class and two‐high risk classes with differing profile compositions (one primarily differentiated by anxiety symptoms and one differentiated by substance use).ConclusionClass‐specific recommendations for suicide prevention efforts will be discussed.

Publisher

Wiley

Subject

Arts and Humanities (miscellaneous),Clinical Psychology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3