Evidence map›Paper›PMID 41408363›Full record

ArticleBMC psychology2025

Longitudinal trajectories of depressive symptoms in adolescent students.

Mian Li, Zejun Huang, Jinqi Ding, Huaineng Wu, Sugai Liang

Abstract read
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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mian Li *Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, 310013, China.
Zejun Huang *Hangzhou Education Science Research Institute, Hangzhou, 310003, China.
Jinqi DingAffiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, 310013, China.
Huaineng WuAffiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, 310013, China. wuhuaineng@163.com.
Sugai LiangAffiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, 310013, China. liangsugai@zju.edu.cn.

Funding

The Science & Technology Development Project of Hangzhou No. ZD20220099
6 · The paper itself

Abstract

backgroundLongitudinal studies examining depressive symptom trajectories in adolescents remain limited, particularly in school-based populations. This study aimed to identify psychosocial risk and protective factors associated with depressive symptom trajectories in a cohort of Chinese adolescents.

methodsA four-semester longitudinal survey was conducted among 1,145 primary and secondary school students using the 9-item Patient Health Questionnaire (PHQ-9) and the Mental Health Diagnostic Test Scale (MHT). Quasi-Poisson generalized linear models adjusted for overdispersion in PHQ-9 scores. Latent class mixed models delineated distinct depressive symptom trajectories. Binary logistic regression evaluated predictors of high-risk group membership, and generalized linear mixed-effects models assessed time-by-group interactions, adjusting for age, sex, and grade.

resultsAcross four time points, 27.9%-32.2% of adolescents scored ≥ 5 on the PHQ-9, indicating elevated risk for depression. Learning anxiety was the most prevalent anxiety subtype (41.9%-49.1%). Significant risk factors associated with higher depressive symptom scores included learning anxiety, hopelessness, interpersonal anxiety, sensitiveness, impulsive tendency, and temper loss, whereas family warmth and help-seeking behavior served as protective. Depressive symptoms in the past year were strong predictors of current depressive symptom severity. Two distinct depressive symptom trajectories were identified: a stable low-risk group and a high-risk group with worsening symptoms. The high-risk group, particularly among sixth-grade students, exhibited a sharper increase in loneliness over time, with hopelessness and somatic anxiety as key predictors.

conclusionsThis study delineates the developmental trajectories of depressive symptoms in adolescents and identifies modifiable psychosocial factors associated with high-risk patterns. The findings underscore the importance of early identification and targeted, school-based interventions to improve adolescent mental health outcomes.

Indexed as

DepressionStudentsAdolescentAnxietyChildChinaFemaleHumansLongitudinal StudiesMaleRisk FactorsAdolescentDepressive symptomsLearning anxietyLonelinessTrajectory

Identifiers

PMID41408363
PMCPMC12821241

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LicenceCC BY-NC-ND
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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.