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自杀及自我伤害行为冲动的潜在剖面分析:社会支持不稳定的作用

Latent Profile Analysis of Urges for Suicidal and Self-Harming Behavior: The Role of Social Support Instability.

作者信息

Ruork Allison K, Maimone Joseph S, Bentley Kate H, Kleiman Evan M

出版信息

Arch Suicide Res. 2024 Oct-Dec;28(4):1147-1157. doi: 10.1080/13811118.2023.2280225. Epub 2023 Nov 23.

Abstract

College counseling centers are seeing increasing rates of suicidal thoughts and behaviors, and nonsuicidal self-injury (NSSI) among students. The high degree of need and limited resources underscores the need for novel approaches to identify at-risk students. We used latent profile analysis (LPA) to identify subgroups of students ( = 371) with different patterns of interpersonal factors and examine whether these subgroups differed by risk for self-injurious thoughts and behaviors. The best-fitting LPA had three profiles, which differed in urges to die by suicide and engage in NSSI. The profile with low average social support and higher instability (greater day-to-day fluctuations of self-reported social support and rejection) was associated with greatest risk, suggesting that this combination leaves individuals more vulnerable to suicide and NSSI.

摘要

大学咨询中心发现,学生中有自杀念头和行为以及非自杀性自伤(NSSI)的比例在不断上升。需求程度高但资源有限,这凸显了采用新方法来识别高危学生的必要性。我们使用潜在剖面分析(LPA)来识别具有不同人际因素模式的学生亚组(n = 371),并检验这些亚组在自伤性想法和行为风险方面是否存在差异。拟合度最佳的LPA有三种剖面,在自杀死亡冲动和参与NSSI方面存在差异。平均社会支持较低且不稳定性较高(自我报告的社会支持和被拒存在更大的日常波动)的剖面与最高风险相关,这表明这种组合使个体更容易出现自杀和NSSI。

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