Citation

Shi X, Jiang L, Chen X, Zhu Y. J. Affect. Disord. 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Elsevier Publishing)

DOI

10.1016/j.jad.2022.09.107

PMID

36162687

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.

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.

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.

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.

Language: en

Keywords

College students; Risk factors; Trajectories; Suicidal behaviors; Protective factors