Evidence map›Paper›PMID 42257991›Full record

ArticleJournal of youth and adolescence2026

Developmental Dynamics of Negative Automatic Thoughts in Childhood and Gender Differences: A Longitudinal Investigation Based on Depressive Symptoms and Peer Attachment.

Xiaolu Shao, Wan Ding, Jingning Liu, Ruibo Xie

Abstract read
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In one paragraph

Article in Journal of youth and adolescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xiaolu ShaoSchool of Psychology, Zhejiang Philosophy and Social Science Laboratory for the Mental Health and Crisis Intervention of Children and Adolescents, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Wan DingSchool of Psychology, Zhejiang Philosophy and Social Science Laboratory for the Mental Health and Crisis Intervention of Children and Adolescents, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Jingning LiuSchool of Psychology, Zhejiang Philosophy and Social Science Laboratory for the Mental Health and Crisis Intervention of Children and Adolescents, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China.
Ruibo XieSchool of Psychology, Zhejiang Philosophy and Social Science Laboratory for the Mental Health and Crisis Intervention of Children and Adolescents, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China. xrb4526@zjnu.edu.cn.

Funding

the Natural Science Foundation of Zhejiang Province LY24C090008
6 · The paper itself

Abstract

Negative automatic thoughts are a core manifestation of cognitive vulnerability and a key mechanism linking depressive symptoms and peer attachment, two major developmental processes during childhood, with effects that extend into adolescence. However, little research has examined how negative automatic thoughts interact with depressive symptoms and peer attachment over time, especially during childhood when thinking patterns are still developing. It is also unclear whether these processes differ by gender.This study employed a four-wave random intercept cross-lagged panel model (RI-CLPM) to examine the bidirectional dynamic relationships among depressive symptoms, peer attachment, and negative automatic thinking in Chinese children, along with gender differences. The sample comprised 993 children ( M

Indexed as

Child DevelopmentDepressionObject AttachmentPeer GroupThinkingChildChinaFemaleHumansInterpersonal RelationsLongitudinal StudiesMaleSex FactorsChinese ChildrenDepressive symptomsNegative automatic thoughtsPeer attachmentRI-CLPM

Identifiers

PMID42257991

What OpenQuestion holds

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Registered trials

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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.