Evidence map›Paper›PMID 42121156›Full record

ArticleBMC public health2026

A population-based cross-lagged panel network analysis of multidimensional mental health symptoms among Chinese secondary school students.

Wenjie Zhang, Ruixiang Gao, Xiao Zheng, Yongxing Guo, Lijun Ma

Abstract read
In one paragraph

Article in BMC public 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

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2 · The registry

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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

5 authors.

Wenjie Zhang *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Ruixiang Gao *Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, and School of Psychology, South China Normal University, Guangzhou, 510631, China.
Xiao Zheng *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Yongxing GuoDiggMind Psychometric Testing Technology Co. Ltd., Guangzhou, 510660, China. guoyongxing@vip.163.com.
Lijun MaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China. malj@gzucm.edu.cn.

Funding

the Guangdong Education Science Planning Project (Higher Education Special) 2024GXJK123the Guangdong Provincial Science and Technology Program 2024A1111120020the Guangzhou Philosophy and Social Sciences Development Project of the 14th Five-Year Plan (Co-construction Project) 2024GZGJ277the Innovation Team Project of Guangdong Ordinary Universities 2022WCXTD004the National Center for Mental Health,China GXWH2025A-012
6 · The paper itself

Abstract

Adolescent mental health issues are increasingly severe, with the prevalence of depression reaching 26.17%. Existing studies still face issues such as a narrow range of symptoms, cross-sectional designs, and small sample sizes. To address these gaps, the present study applied cross-lagged panel network (CLPN) analysis to a population-based sample of 17,236 secondary school students in Guangzhou, China (aged 12-18; 46.32% female; 66.91% junior high, 33.09% senior high). Participants were assessed on ten symptom dimensions at two time points approximately six months apart, during September-October 2023 (T1) and February-April 2024 (T2). Subgroup comparisons were conducted by gender and educational stage. The findings revealed: (1) cross-sectional networks exhibited robust and stable associations, with depression and anxiety forming the strongest link; (2) longitudinal analyses identified depression, anxiety, and emotional disturbance as central driving nodes that predicted and propagated changes in other mental health symptoms over time, while paranoid ideation functioned primarily as a bridging symptom; and (3) subgroup analyses showed largely consistent structures across gender and educational stages, though subtle differences emerged. Males demonstrated slightly stronger connectivity, with depression and emotional disturbance as core drivers, whereas hostility and interpersonal sensitivity were more central in females. Across educational stages, the "depression → anxiety" pathway remained stable, with emotional disturbance more prominent in junior high and hostility gaining influence in senior high. Overall, these results highlight the central role of anxiety in adolescent symptom networks, reflecting the pervasive influence of China's high-pressure educational environment on students' psychological functioning. They underscore the importance of disrupting the depression-anxiety cycle and suggest that tailored, stage- and gender-specific interventions targeting emotional symptoms may enhance the effectiveness of school-based mental health promotion.

Indexed as

Mental DisordersMental HealthStudentsAdolescentAnxietyChildChinaCross-Sectional StudiesDepressionEast Asian PeopleFemaleHumansLongitudinal StudiesMaleSchoolsAnxietyChinese adolescentsCross-lagged panel networkEducational stageGenderMental health problems

Identifiers

PMID42121156
PMCPMC13470950

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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.