Volume 46 Issue 6
Jun.  2025
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LIU Yuxuan, WANG Yuhao, WANG Yihan, WANG Yingxue, HU Xinyi, TIAN Susu, TIAN Jiayi, WANG Wei. Cross-lagged analysis of anxiety and depressive symptoms, uncertainty stress with academic buoyancy in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(6): 832-836. doi: 10.16835/j.cnki.1000-9817.2025168
Citation: LIU Yuxuan, WANG Yuhao, WANG Yihan, WANG Yingxue, HU Xinyi, TIAN Susu, TIAN Jiayi, WANG Wei. Cross-lagged analysis of anxiety and depressive symptoms, uncertainty stress with academic buoyancy in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(6): 832-836. doi: 10.16835/j.cnki.1000-9817.2025168

Cross-lagged analysis of anxiety and depressive symptoms, uncertainty stress with academic buoyancy in college students

doi: 10.16835/j.cnki.1000-9817.2025168
  • Received Date: 2024-12-25
  • Rev Recd Date: 2025-04-16
  • Available Online: 2025-07-04
  • Publish Date: 2025-06-25
  •   Objective   To examine the reciprocal relationships of anxiety and depressive symptoms, uncertainty stress with academic buoyancy among college students, providing evidence for mental health promotion and academic resilience enhancement.   Methods   A multi-stage cluster random sampling method was used to selected 741 undergraduates from grade 1 to 2 of a university in Xuzhou, Jiangsu Province. Participants completed two waves of surveys (T1: October 2022; T2: October 2023) using the Uncertainty Stress Scale, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Academic Buoyancy Scale. Cross-lagged models analyzed bidirectional relationships between three mental health variables and academic buoyancy, followed by latent variable modeling integrating all mental health dimensions.   Results   Cross-lagged model results revealed that T1 uncertainty stress negatively predicted T2 academic buoyancy (β=-0.14), while T1 academic buoyancy negatively predicted T2 uncertainty stress (β=-0.11); T1 depressive symptom negatively predicted T2 academic buoyancy (β=-0.08), while T1 academic buoyancy negatively predicted T2 depressive symptom (β=-0.09); furthermore, T1 academic buoyancy negatively predicted T2 anxiety symptom(β=-0.10) (P < 0.05). Results from the latent variable cross-lagged model of psychological problems (constructed from the three mental health variables) indicated that T1 psychological problems negatively predicted T2 academic buoyancy (β=-0.09), while T1 academic buoyancy negatively predicted T2 psychological problems (β=-0.09) (P < 0.05).   Conclusions   Longitudinal bidirectional relationships exist between mental health status and academic buoyancy in college students. Better mental health facilitates higher academic buoyancy.
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