Frontiers in psychology · 2025
Developmental trajectories of suicide risk in college students: a three-year Latent Growth Mixed Model study.
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Zhuojun Liu, Mian Liu, Zhifang Zhang, Zhuangyou Chen
Аннотация
BACKGROUND: This study aimed to explore the developmental trajectories of suicide risk among college students and examine the influence of demographic, psychological, and social factors on these trajectories.
METHODS: A three-year follow-up study was conducted with 3,723 first-year college students from a university in Guangdong Province, China. Data were collected in October 2020, 2021, and 2022 using the Suicide Behaviors Questionnaire-Revised (SBQ-R), University Personality Inventory (UPI), and Self-rating Depression Scale (SDS). Latent Growth Mixed Modeling (LGMM) was employed to analyze the trajectories of suicide risk.
RESULTS: Three distinct trajectories were identified: a "slowly decreasing suicide risk group" (81.1%), a "slowly increasing suicide risk group" (15.7%), and a "rapidly increasing suicide risk group" (3.2%). Female gender, left-behind experience, history of suicide among close relatives or acquaintances, positive psychological symptoms, and depressive symptoms were significant risk factors for higher suicide risk trajectories (all p < 0.05).
DISCUSSION: The findings highlight significant heterogeneity in suicide risk trajectories among college students, emphasizing the need for targeted interventions based on individual risk profiles.
METHODS: A three-year follow-up study was conducted with 3,723 first-year college students from a university in Guangdong Province, China. Data were collected in October 2020, 2021, and 2022 using the Suicide Behaviors Questionnaire-Revised (SBQ-R), University Personality Inventory (UPI), and Self-rating Depression Scale (SDS). Latent Growth Mixed Modeling (LGMM) was employed to analyze the trajectories of suicide risk.
RESULTS: Three distinct trajectories were identified: a "slowly decreasing suicide risk group" (81.1%), a "slowly increasing suicide risk group" (15.7%), and a "rapidly increasing suicide risk group" (3.2%). Female gender, left-behind experience, history of suicide among close relatives or acquaintances, positive psychological symptoms, and depressive symptoms were significant risk factors for higher suicide risk trajectories (all p < 0.05).
DISCUSSION: The findings highlight significant heterogeneity in suicide risk trajectories among college students, emphasizing the need for targeted interventions based on individual risk profiles.