Evidence map›Paper›PMID 40014205›Full record

ArticleChild psychiatry and human development2025

Associations Between Peer Relationships and Depressive Symptoms in Rural Children: Undirected and Bayesian Network Analyses.

Jianjing Jiang, Shengnan Zhang, Zhongyan Su, Xiaoman Yang, Yujie Zhang, Ningning Huang, Yuan Fang, Zhiyan Chen

Abstract read
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In one paragraph

Article in Child psychiatry and human development, 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 authors.

Jianjing Jiang *CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Shengnan Zhang *CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Zhongyan SuCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Xiaoman YangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Yujie ZhangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Ningning HuangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Yuan FangCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. yfangpsy@163.com.
Zhiyan ChenCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. chenzy@psych.ac.cn.

Funding

fellowship of the China Postdoctoral Science Foundation 2021M703467Informatization Plan of Chinese Academy of Sciences CAs-WX2021PY-0204Special Research Assistant Program of the Chinese Academy of Sciences E2CX0114
6 · The paper itself

Abstract

Previous studies have noted links between peer relationships and depressive symptoms, but few have explored the subtle internal connections and inherent directionalities of these associations. Undirected and Bayesian network analyses were utilized to explore the interrelationships among key constructs in this study, which focused on 802 Chinese rural children (M

Indexed as

Depressive symptomsDirected acyclic graphNetwork analysisPeer relationshipsRural children

Identifiers

PMID40014205

What OpenQuestion holds

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Registered trials

None linked

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.