Zhao Mingzhu, Xin Yongheng, Bai Xuechun, Zhang Sitao, Liu Haoying, Xu Wei, Duan Wenxi, Jin Qingying, Chen Yingying, Luo Ye, Bai Jiali, Liu Zhibo, Yin Huiru
Jilin University School of Nursing, Changchun, China.
Jilin University College of Software, Changchun, China.
J Affect Disord. 2025 Aug 1;382:567-578. doi: 10.1016/j.jad.2025.04.137. Epub 2025 Apr 23.
Suicide is a leading cause of death among college students, but inconsistent data and a lack of meta-analysis make it difficult to identify and recognize the risk factors for suicidal ideation, planning, and attempts in this group. To gain a comprehensive understanding of previous research, this study summarized risk factors for suicidal ideation, planning, and attempts among college students through a review and meta-analysis.
We systematically searched six electronic databases from inception to May 18, 2024, to identify longitudinal studies of factors associated with suicidal ideation, planning, and attempts among college students. The effect sizes of the risk factors were pooled using a random effects model. Based on the results of the meta-analysis, we developed a risk prediction model for suicidal ideation among college students.
Thirty-three studies involving 193,517 college students were included. This study identified 18 risk factors, such as sexual orientation and traumatic experiences, and identified two protective factors, namely, social support and positive coping. Suicidal ideation is considered an important precursor to suicide. This study developed a predictive model for suicidal ideation with the results of the meta-analysis.
This review demonstrated the importance of several risk and protective factors for suicidal ideation, planning, and attempts among college students. A predictive model was developed based on the results of this meta-analysis, thus providing novel insights for translating evidence into clinical practice.
自杀是大学生死亡的主要原因之一，但数据不一致以及缺乏荟萃分析使得难以识别和认识该群体中自杀意念、计划和未遂行为的风险因素。为全面了解以往研究，本研究通过综述和荟萃分析总结了大学生自杀意念、计划和未遂行为的风险因素。
我们系统检索了从数据库建立至2024年5月18日的六个电子数据库，以识别与大学生自杀意念、计划和未遂行为相关因素的纵向研究。使用随机效应模型汇总风险因素的效应量。基于荟萃分析结果，我们构建了大学生自杀意念的风险预测模型。
纳入了33项涉及193,517名大学生的研究。本研究识别出18个风险因素，如性取向和创伤经历，并确定了两个保护因素，即社会支持和积极应对。自杀意念被认为是自杀的重要先兆。本研究利用荟萃分析结果构建了自杀意念预测模型。
本综述证明了大学生自杀意念、计划和未遂行为的若干风险和保护因素的重要性。基于该荟萃分析结果构建了一个预测模型，从而为将证据转化为临床实践提供了新的见解。
