Evidence map›Paper›PMID 42469864›Full record

ArticleChild and adolescent psychiatry and mental health2026

Gender-specific temporal dynamics of depressive symptoms and emotional resilience in adolescents: a cross-lagged network and simulation-based intervention study.

Qiu Li, Xueying Liu, Fang Zhou, Weiliang Wang

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qiu LiSchool of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xueying LiuSchool of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Fang ZhouSchool of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China. zhoufang@xzhmu.edu.cn.
Weiliang WangSchool of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China. wangweiliang@xzhmu.edu.cn.

Funding

National Natural Science Foundation of China 72304235the General Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province 2023SJYB1109the Scientific Research Foundation of Excellent Talents in Xuzhou Medical University D2022032
6 · The paper itself

Abstract

backgroundAdolescent depression involves dynamic interactions between depressive symptoms and emotional resilience, with potential gender differences.

methodsA 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.

resultsIn 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.

conclusionsEmotional 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.

Indexed as

Depressive symptomsEmotional resilienceGender differencesNetwork analysis

Identifiers

PMID42469864
PMCPMC13670705

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.