Volume 46 Issue 9
Sep.  2025
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DONG Ziqi, SONG Xinli, YUAN Wen, LI Jing, YANG Tian, ZHANG Xiuhong, SONG Yi, DONG Yanhui. Longitudinal cross-lagged analysis of body mass index and weight stigma with depressive symptom in adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(9): 1242-1245. doi: 10.16835/j.cnki.1000-9817.2025286
Citation: DONG Ziqi, SONG Xinli, YUAN Wen, LI Jing, YANG Tian, ZHANG Xiuhong, SONG Yi, DONG Yanhui. Longitudinal cross-lagged analysis of body mass index and weight stigma with depressive symptom in adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(9): 1242-1245. doi: 10.16835/j.cnki.1000-9817.2025286

Longitudinal cross-lagged analysis of body mass index and weight stigma with depressive symptom in adolescents

doi: 10.16835/j.cnki.1000-9817.2025286
  • Received Date: 2025-04-29
  • Rev Recd Date: 2025-05-30
  • Available Online: 2025-10-10
  • Publish Date: 2025-09-25
  •   Objective  To explore the bidirectional associations among body mass index Z-scores (BMI Z-scores) and weight stigma with depressive symptoms in adolescents, thereby providing evidence for targeted intervention strategies.  Methods  A stratified cluster random sampling method was employed to select 18 301 adolescents aged 12-18 years from all 12 prefectures (103 counties) in the Inner Mongolia Autonomous Region, and two waves of longitudinal surveys were conducted in September 2023 (T1) and September 2024 (T2) among the adolescents. Weight stigma was assessed by using a self-developed questionnaire, depressive symptom was measured with the Center for Epidemiologic Studies Depression Scale (CES-D), and BMI Z-scores were calculated according to the World Health Organization standards. Pearson correlation analysis was used to examine associations among variables, and cross-lagged panel models were constructed to investigate the dynamic bidirectional relationships among the three variables.  Results  Adolescents' BMI Z-scores and weight stigma with depressive symptoms all exhibited autoregressive stability across the two time points (autoregressive paths, all P < 0.01). Cross-lagged model comparisons indicated that the bidirectional path model achieved the best fit (χ2=12.65, RMSEA=0.017, CFI=1.000; △χ2=193.39, P < 0.01), supporting dynamic bidirectional associations among the three variables. After adjusting for gender, age, subjective social status and only-child status, T1 BMI Z-scores among adolescents positively predicted T2 weight stigma (β=0.061), and T1 weight stigma positively predicted T2 depressive symptoms (β=0.608); in the reverse direction, T1 depressive symptoms predicted T2 weight stigma (β=0.003), and T1 weight stigma predicted T2 BMI Z-scores (β=0.081) (all P < 0.01).  Conclusions  There is a bidirectional cross-lagged relationship among adolescents' BMI Z-scores and weight stigma with depressive symptoms, suggesting that weight stigma may serve as a key psychological variable linking obesity and depressive symptoms. Greater attention should be paid to the potential threat of weight stigma to adolescents' mental health, with intervention strategies expanded from a solely physiological focus to encompass psychosocial dimensions.
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