Evidence map›Paper›PMID 41079866›Full record

ArticleFrontiers in psychology2025

Longitudinal network analysis of mental health trends in Chinese university freshmen: a decadal study (2014-2023).

Xiujie Teng, Xiaoyan Wang, Ye Liu, Dingchao Wu, Zhenxuan Dong, Shaobo Lyu

Abstract read
In one paragraph

Article in Frontiers in 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
–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

The trial behind it

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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

4 citing papers in PubMed.

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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

6 authors.

Xiujie TengCapital University of Economics and Business, Beijing, China.
Xiaoyan WangLibrary, North China University of Science and Technology, Tangshan, Hebei, China.
Ye LiuSchool of Psychology and Mental Health, Hebei Key Laboratory of Mental Health and Brain Science, Tangshan, Hebei, China.
Dingchao WuSchool of Psychology and Mental Health, Hebei Key Laboratory of Mental Health and Brain Science, Tangshan, Hebei, China.
Zhenxuan DongSchool of Psychology and Mental Health, Hebei Key Laboratory of Mental Health and Brain Science, Tangshan, Hebei, China.
Shaobo LyuSchool of Psychology and Mental Health, Hebei Key Laboratory of Mental Health and Brain Science, Tangshan, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Global mental health deterioration among young adults is a growing concern. This study aims to map the psychopathological architecture of mental health symptoms in a large cohort of university freshmen to identify core symptoms that could be pivotal for intervention strategies. Methods: A network analysis was conducted on annual mental health assessments of 24,047 university freshmen over a ten-year period (2014-2023). Symptoms were assessed using the Symptom Checklist-90 (SCL-90). Results: The mental health symptom network structure demonstrated remarkable stability across the decade. Anxiety, depression, and interpersonal sensitivity were consistently identified as the most central symptoms within the network. The rank order of symptoms by nodal strength was: anxiety, depression, interpersonal sensitivity, psychoticism, obsessive symptoms, paranoia, hostility, phobia, and somatization. Discussion: The findings highlight anxiety, depression, and interpersonal sensitivity as prominent and central psychological challenges for college students. The stability of this network structure suggests these core symptoms are reliable targets for priority screening and the development of targeted mental health interventions and preventative treatments within university populations.

Indexed as

freshmenmental healthnetwork analysisSCL-90time series

Identifiers

PMID41079866
PMCPMC12509066

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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.