Evidence map›Paper›PMID 41060486›Full record

ArticleThe Psychiatric quarterly2025

Longitudinal Associations between Weight Self-Stigma, Physical Exercise, and Social Anxiety among Adolescents: Between-and Within-Person Effects.

Kanglin Wang, Fen Qiu

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Article in The Psychiatric quarterly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

2 authors.

Kanglin WangSchool of Physical Education, Wuhan University of Technology, Wuhan, 430070, China. 347962@whut.edu.cn.ORCID http://orcid.org/0009-0004-6594-232X
Fen QiuSchool of Physical Education, Wuhan University of Technology, Wuhan, 430070, China.

Funding

Supported by"the Fundamental Research Funds for the Central Universities" Supported by"the Fundamental Research Funds for the Central Universities"
6 · The paper itself

Abstract

Adolescent mental health, particularly the complex relationship between weight self-stigma and social anxiety, has received limited research attention. Previous studies have often overlooked the need for longitudinal investigations to understand how these factors influence each other over time, as well as the potential mediating role of physical exercise, particularly regarding gender differences.This study employed a three-wave longitudinal design 93-month intervals) with 637 Chinese adolescents (aged 12-18, M = 15.29 years; 283 Males, 354 females). Using the Random Intercept Cross-Lagged Panel Model (RI-CLPM), we examined associations among weight self-stigma, physical exercise, and social anxiety, controlling for age and self-weight perception. Measures included the Weight Self-Stigma Scale, Adolescent Social Anxiety Scale, and Physical Activity Rating Scale.At the between-person level, weight self-stigma positively correlated with social anxiety (β = 0.59, p < .001), while physical exercise negatively correlated with weight self-stigma (β=-0.53, p < .001) and social anxiety (β= -0.68, p < .001). Within-person analyses revealed bidirectional predictions: weight self-stigma predicted subsequent social anxiety (T1-T2:β = 0.24,p < .001,T2-T3:β = 0.17,p < .01), and social anxiety predicted weight self-stigma (T2-T3:β = 0.29, p < .001). Physical exercise mediated both pathways with small but significant effects (β = 0.08, 95%CI[0.02,0.14], β = 0.06 ,95%CI[0.03,0.12]), with no gender differences(p = .11 > .05).Physical exercise disrupts the reciprocal reinforcement between weight self-stigma and social anxiety in Chinese adolescents, highlighting its potential as a gender-inclusive intervention target. Findings emphasize the need to integrate physical activity into mental health strategies to address body image-related distress.

Indexed as

Adolescent mental healthPhysical exerciseRandom intercept cross-lagged panel modelSocial anxietyWeight self-stigma

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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.