情感(语言学)
心理学
社会联系
临床心理学
社会支持
自杀预防
社会孤立
心理健康
人为因素与人体工程学
老年学
毒物控制
医学
精神科
社会心理学
医疗急救
沟通
作者
Namik Kirlić,Elisabeth Akeman,Danielle C. DeVille,Hung‐Wen Yeh,Kelly T. Cosgrove,Timothy J. McDermott,James Touthang,Ashley Clausen,Martin P. Paulus,Robin L. Aupperle
标识
DOI:10.1080/07448481.2021.1947841
摘要
Objective To identify robust and reproducible factors associated with suicidal thoughts and behaviors (STBs) in college students.Methods 356 first-year university students completed a large battery of demographic and clinically-relevant self-report measures during the first semester of college and end-of-year (n = 228). Suicide Behaviors Questionnaire-Revised (SBQ-R) assessed STBs. A machine learning (ML) pipeline using stacking and nested cross-validation examined correlates of SBQ-R scores.Results 9.6% of students were identified at significant STBs risk by the SBQ-R. The ML algorithm explained 28.3% of variance (95%CI: 28–28.5%) in baseline SBQ-R scores, with depression severity, social isolation, meaning and purpose in life, and positive affect among the most important factors. There was a significant reduction in STBs at end-of-year with only 1.8% of students identified at significant risk.Conclusion Analyses replicated known factors associated with STBs during the first semester of college and identified novel, potentially modifiable factors including positive affect and social connectedness.
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