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Gender-specific temporal dynamics of depressive symptoms and emotional resilience in adolescents: a cross-lagged network and simulation-based intervention study
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DOI：10.1186/s13034-026-01138-w.png)
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Abstract
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Adolescent depression involves dynamic interactions between depressive symptoms and emotional resilience, with potential gender differences. 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. 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. 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.
Keywords:
Depressive symptoms
Emotional resilience
Gender differences
Network analysis
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