Gender-specific temporal dynamics of depressive symptoms and emotional resilience in adolescents: a cross-lagged network and simulation-based intervention study
BACKGROUND: Adolescent depression involves dynamic interactions between depressive symptoms and emotional resilience, with potential gender differences. METHODS: A total of 818 adolescents completed the CDI-S and AERQ at two time points. Cross-lagged panel networks were estimated separately for males and females, and node centrality was assessed using in- and out-expected influence indices. Simulation-based interventions identified nodes with the greatest impact on overall symptom activation. RESULTS: In males, sadness showed the largest autoregressive effect, self-deprecation showed the highest out-expected influence, and feeling upset when misunderstood showed the highest in-expected influence. In females, feeling unloved showed the largest autoregressive effect, sadness showed the highest out-expected influence, and feeling upset after criticism the highest in-expected influence. Simulation results indicated that enhancing positive emotion generation alleviated symptoms, whereas sleep- and interpersonal-related dysregulation increased network activation. CONCLUSIONS: Emotional resilience-depression dynamics differed by gender, with males showing cognitive-evaluative propagation and females emotion-driven interpersonal sensitivity. Targeted, gender-sensitive interventions focused on positive emotion generation and interpersonal recovery may help reduce depressive symptoms in adolescents.
Authors
- Weiliang Wang (ORCID: https://orcid.org/0000-0003-4202-3473)
- Xueying Liu (ORCID: https://orcid.org/0009-0006-2244-136X)
- Qiu Li (ORCID: https://orcid.org/0000-0002-2481-7168)
- Fang Zhou
Institutions
- Xuzhou Medical College (CN)
Publication Details
- Journal
- Child and Adolescent Psychiatry and Mental Health
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1186/s13034-026-01138-w
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China