Evidence map›Paper›PMID 41184842›Full record

ArticleBMC pediatrics2025

School adjustment and mental health among adolescents: a network analysis.

Yisong Yao, Baoyi Liao, Yingying Cheng, Xianxian Deng, Mingjun Sun, Jiani Song, Mingxia Li, Jialin Wu, Wenle Zhang

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Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yisong Yao *Department of Otorhinolaryngology, Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Baoyi Liao *Department of Clinical Medicine, North Sichuan Medical College, Nanchong, 637000, China.
Yingying Cheng *Department of Stomatology, North Sichuan Medical College, Nanchong, 637000, China.
Xianxian DengSichuan Primary Health Care Research Center, North Sichuan Medical College, Nanchong, 637000, China.
Mingjun SunSichuan Primary Health Care Research Center, North Sichuan Medical College, Nanchong, 637000, China.
Jiani SongSichuan Primary Health Care Research Center, North Sichuan Medical College, Nanchong, 637000, China.
Mingxia LiSichuan Primary Health Care Research Center, North Sichuan Medical College, Nanchong, 637000, China.
Jialin WuSichuan Primary Health Care Research Center, North Sichuan Medical College, Nanchong, 637000, China.
Wenle ZhangFujian Psychiatric Center, Xiamen Xian-yue Hospital, Xian-yue Hospital Affiliated with Xiamen Medical College, Fujian Clinical Research Center for Mental Disorders, Xiamen, 361012, China. angusle19980328@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study uses network analysis to investigate the network structure linking school adjustment and mental health among adolescents in Shandong Province. The objectives include identifying core symptoms within symptom clusters, examining the interactions between school adjustment and mental health, and providing evidence-based insights to help suggest potential intervention targets.

methodsThe data were provided by the Shandong University Database of Youth Health in Population Health Data Archive. School Social Behavior Scale (SSBS) and Symptom Check List 90 (SCL-90) were used to estimate the school adjustment and mental health status of adolescents, respectively. Network analysis was performed using R software to construct the symptom network structure and assess the degree of centrality, bridge strength, stability, and precision of each item.

resultsAmong the 11,949 adolescents aged 11-18 years in Shandong Province were included in the study, 5695 (47.7%) were males and 6254 (52.3%) were females. "Obsessive compulsive (SCL-2)" and "Interpersonal sensitivity (SCL-3)" were the most strongly connected. The symptom with the highest strength was "Anxiety (SCL-5)". "Antisocial behavior (SSBS-2)" was the symptom with the highest bridge strength. "Antisocial behavior (SSBS-2)" and "Hostility (SCL-6)" were extremely distinct bridge symptoms.

conclusions"Anxiety (SCL-5)" plays a central role in the symptom network of school adjustment and mental health among adolescents. This study fully capture the complex interactions and networked relationships between these two psychological traits, and suggest potential intervention targets by targeting core and bridge symptoms in the symptom network.

Indexed as

Mental HealthSocial AdjustmentStudentsAdolescentChildChinaFemaleHumansMaleSchoolsAdolescentsMental healthNetwork analysisSchool adjustment

Identifiers

PMID41184842
PMCPMC12581262

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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.