Evidence map›Paper›PMID 40264035›Full record

ArticleBMC public health2025

Does accumulated family risk inhibit adolescent physical activity at home? An examination with a longitudinal latent growth model.

Jingtao Wu, Yanhong Shao, Wennan Zhao, Wanli Zang, Xinjuan Zhao, Jun Hu

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

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingtao WuSchool of Physical Education, Leshan Normal University, Leshan, China.
Yanhong ShaoXiangshui Teacher Development Center, Yancheng, China.
Wennan ZhaoSchool of Physical Education, Yanshan University, No. 438 West Hebei Street, Qinhuangdao City, Hebei Province, 066000, China. zhaown@ysu.edu.cn.
Wanli ZangPostgraduate School, Harbin Sport University, Harbin, China.
Xinjuan ZhaoSchool of Physical Education, Leshan Normal University, Leshan, China.
Jun HuSchool of Physical Education, Leshan Normal University, Leshan, China.

Funding

the 2024 Research Cultivation Project of Leshan Normal University KYPY2025-0014the project of the Ziyang Federation of Social Sciences GT-02202104This study was supported by the project of the Sichuan Federation of Social Sciences TY2021303Zigong Medical and health communication research center: Research on the linkage effect of sports atmosphere and self-efficacy on college students' exercise behavior YXJKCB-2022-18
6 · The paper itself

Abstract

backgroundThe escalating prevalence of problem behaviors among adolescents, primarily stemming from accumulated family risk has emerged as a significant concern in contemporary school and family education. This phenomenon warrants particular attention as it may directly lead to reduced physical activity levels among adolescents within their domestic settings, potentially resulting in significant long-term consequences. Grounded in ecological systems theory, this study seeks to elucidate the cumulative effects of family risk on adolescent development. Through the application of a latent growth model across three distinct observation periods, we aim to systematically examine and clarify the longitudinal development trajectories and underlying interaction mechanisms of the variables under investigation.

methodsA simple random cluster sampling method was utilized to select four middle schools from Sichuan Province, Guangdong Province, Hebei Province, and Beijing City as the research sites. A total of 682 primary and middle school students participated in three waves of follow-up surveys. Data were collected using validated scales, including the Accumulated Family Risk Scale and the Home Physical Activity Scale, to assess the respective constructs.

results(1) Adolescent accumulated family risk and home physical activity exhibited relative stability over the three observation periods, and a significant negative correlation was observed between these two variables. (2) The initial levels of adolescent home physical activity and accumulated family risk were significantly negatively correlated. Furthermore, these initial levels were found to significantly predict the growth rate of accumulated family risk, with the direction of influence being negative.

conclusionThe findings suggest that higher levels of physical activity and lower initial levels of accumulated family risk may serve as protective factors against the escalation of accumulated family risk levels during adolescence. These findings offer novel empirical evidence and theoretical insights for designing targeted interventions aimed at mitigating accumulated family risks among adolescents.

Indexed as

Adolescent BehaviorExerciseFamilyAdolescentChildChinaFemaleHumansLongitudinal StudiesMaleRisk FactorsAccumulated family riskAdolescentsDevelopment trajectoryLatent growth modelPhysical activity

Identifiers

PMID40264035
PMCPMC12013129

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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.