Cross-lagged network analysis reveals gender differences in depressive symptoms and resilience dynamics in adolescents, indicating targeted intervention strategies.
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.
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Li et al. (2026) studied this question.
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