The First Year After Military Service: Predictors of US Veterans? Suicidal Ideation

The First Year After Military Service: Predictors of US Veterans? Suicidal Ideation
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DOI:
10.1016/j.amepre.2022.03.017
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发表时间:
2022-07-19
影响因子:
5.5
通讯作者:
Vogt, Dawne
Vogt, Dawne
中科院分区:
医学2区
文献类型:
--
作者:
Borowski, Shelby;Rosellini, Anthony J.;Vogt, Dawne

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简介:人们对退伍军人自杀意念的预测因素知之甚少,因为他们从服役过渡到平民生活,这是一个潜在的高风险时期,也是干预的关键时期。本研究调查了与退伍军人退伍后第一年自杀意念相关的因素。方法:退伍军人指标倡议研究中的美国退伍军人全国样本(N = 7,383)在退伍后 3 个月和 9 个月的在线调查中报告了他们的心理健康、社会心理健康和人口/军事特征。使用交叉验证的随机森林模型和准确度值的平均下降来确定自杀意念的关键预测因子。计算双变量 OR 来检查预测因素和自杀意念之间主效应关联的大小和方向。数据收集于 2016/2017 年,并于 2021 年进行分析。结果:在退役后的第一年,15.1% 的退伍军人报告有自杀意念。支持抑郁症状,以及在较小程度上承认自己正在经历抑郁症,最能预测自杀意念。其他精神病理学预测因素包括更高的焦虑和创伤后应激障碍症状。社会心理健康预测因素包括较高的健康满意度和功能、社区满意度和功能以及心理弹性。逻辑模型的表现与随机森林模型类似,表明预测因子和自杀意念之间的关系比交互作用更能体现为主效应。结论:结果强调了加强退伍军人心理健康和社会心理健康关键方面的潜在价值,以降低他们在离职后第一年出现自杀意念的风险。研究结果可以为旨在帮助退伍军人适应平民生活的干预措施提供信息。 (C) 由 Elsevier Inc. 代表《美国预防医学杂志》出版。
Introduction: Little is known about predictors of military veterans' suicidal ideation as they transition from service to civilian life, a potentially high-risk period that represents a critical time for intervention. This study examined factors associated with veterans' suicidal ideation in the first year after military separation.Methods: A national sample of U.S. veterans (N=7,383) from The Veterans Metrics Initiative Study reported on their mental health, psychosocial well-being, and demographic/military characteristics in an online survey at 3 and 9 months after separation. Cross-validated random forest models and mean decrease in accuracy values were used to identify key predictors of suicidal ideation. Bivariate ORs were calculated to examine the magnitude and direction of main effects associations between predictors and suicidal ideation. Data were collected in 2016/2017 and analyzed in 2021.Results: In the first year after separation, 15.1% of veterans reported suicidal ideation. Endorsing depression symptoms and, to a lesser extent, identifying oneself as experiencing depression, were most predictive of suicidal ideation. Other psychopathology predictors included higher anxiety and posttraumatic stress disorder symptoms. Psychosocial well-being predictors included higher health satisfaction and functioning, community satisfaction and functioning, and psychological resilience. Logistic models performed similarly to random forest models, suggesting that relationships between predictors and suicidal ideation were better represented as main effects than interactions.Conclusions: Results highlight the potential value of bolstering key aspects of military veterans' mental health and psychosocial well-being to reduce their risk for suicidal ideation in the first year after separation. Findings can inform interventions aimed at helping veterans acclimate to civilian life. (C) Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine.