@article{ref1,
title="Distinct trajectories of suicidal behaviors throughout the university stage and associated risk and protective factors: a large-scale prospective study",
journal="Journal of affective disorders",
year="2022",
author="Shi, Xuliang and Jiang, Lin and Chen, Xiaoyan and Zhu, Ya",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: Suicide is a major public health concern, especially among adolescents and young adults. Although research has begun to explore the developmental trajectories of suicide-related outcomes, most have thus far focused on children and adolescents. The current study extends existing literature by identifying subgroup trajectories and related factors of college students over a two-year period. <br><br>METHODS: The data used in this study was obtained from an ongoing longitudinal study in Guangdong, China. A total of 3871 students participated in assessments performed at three time points at one-year assessment intervals. Growth mixture modeling (GMM) was used to estimate trajectory classes for suicidal behaviors, followed by multivariable logistic regression to explore the association between predictive factors and classes. <br><br>RESULTS: GMM analyses extracted two distinct trajectories of suicidal behaviors: a low-decreasing group (n = 3669, 94.8 %) and a high-increasing group (n = 202, 5.2 %). Multivariate logistic regression analyses revealed that depressive symptoms, non-suicidal self-injury, hopelessness, and childhood emotional abuse served as risk factors for the high-increasing group, while reasons for living served as protective factors. <br><br>CONCLUSIONS: Psychological interventions aimed at reducing the influence of risk factors and bolstering reasons to live may help to decrease the risk of suicide behaviors in college students.<p /> <p>Language: en</p>",
language="en",
issn="0165-0327",
doi="10.1016/j.jad.2022.09.107",
url="http://dx.doi.org/10.1016/j.jad.2022.09.107"
}