Developmental trajectories of depression, anxiety, and stress among college students: a piecewise growth mixture model analysis

Xinqiao Liu (), Yifan Zhang, Wenjuan Gao and Xiaojie Cao
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Xinqiao Liu: Tianjin University
Yifan Zhang: Tianjin University
Wenjuan Gao: Beihang University
Xiaojie Cao: Peking University

Palgrave Communications, 2023, vol. 10, issue 1, 1-10

Abstract: Abstract Mental health issues are becoming increasingly common among college students, but not all students follow the same developmental trends of mental health. This study aims to identify the developmental trajectories of depression, anxiety, and stress among college students and the related factors for different trajectory classes. The data were collected from a longitudinal survey of college students over four consecutive years, and 2473 students were included in the analysis. The study used a piecewise growth mixture model to determine the subtrajectories, and a multinomial logistic regression model was constructed to investigate the related factors affecting students in subtrajectories. The results revealed that subtrajectories include the low and stable class, increasing class, decreasing then stable class, increasing then decreasing class, and decreasing and high class. The decreasing and high class only presents in the trajectories of anxiety and stress. Regarding related factors, high BMI and high sleep hours were identified as related factors for the increasing class of depression; gender and high sleep hours were associated with the increasing class of anxiety; and hometown location was related to the increasing class of stress. Extroversion personality, relationship with classmates, siblings, and father’s education level are related factors for other subtrajectories. Considering that college students experience multiple trajectories of depression, anxiety, and stress, mental health education and psychological intervention should be carried out for students in each class.

Date: 2023
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DOI: 10.1057/s41599-023-02252-2

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