Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach

BackgroundChina has promulgated a series of policies to address the health crisis among adolescents resulting from physical inactivity. These policies aim to promote physical activity among Chinese Adolescent and improving health. As institutional mechanisms for building social consensus and providi...

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Main Authors: Xinzhu Huang, Changsheng Zhang, Jiang Li, Xianming Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625225/full
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author Xinzhu Huang
Changsheng Zhang
Jiang Li
Xianming Ding
author_facet Xinzhu Huang
Changsheng Zhang
Jiang Li
Xianming Ding
author_sort Xinzhu Huang
collection DOAJ
description BackgroundChina has promulgated a series of policies to address the health crisis among adolescents resulting from physical inactivity. These policies aim to promote physical activity among Chinese Adolescent and improving health. As institutional mechanisms for building social consensus and providing strategic guidance, evaluating and optimizing these policies to enhance their efficacy represents a critical imperative.MethodThis paper employs the PMC-Index model to conduct text mining on 9 adolescent Physical fitness policies implemented in China since the inception of the new century. This paper first constructs PMC-Index model, then conducts quantitative analysis on the text, and finally calculates the scores of nine policies in various dimensions to analyze the advantages and disadvantages of the policies. In addition, this paper performs visual analysis by drawing a curved surface diagram.ResultThe nine adolescent sports health promotion policies in China yield an average score of 6.83, indicating a generally sound status overall. However, deficiencies exist in supervising policy implementation, coordinating stakeholder responsibilities, and ensuring policy safeguards.ConclusionsThe results indicate that China should strengthen the application of youth sports supply-side policy instruments in the future, clarify the division of responsibilities among schools, families and communities, improve the reward and punishment mechanism of policy implementation, and effectively improve the effectiveness of youth Physical fitness policies.
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spelling doaj-art-a227da9b2b8a4ee9ba8a9289789080262025-08-20T03:31:40ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-07-011310.3389/fpubh.2025.16252251625225Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approachXinzhu Huang0Changsheng Zhang1Jiang Li2Xianming Ding3Chengdu Sport University, Chengdu, Sichuan, ChinaCollege of Sports and Health Management of Chongqing University of Education, Chongqing, ChinaChengdu Sport University, Chengdu, Sichuan, ChinaCollege of Sports Science, Jishou University, Jishou, Hunan, ChinaBackgroundChina has promulgated a series of policies to address the health crisis among adolescents resulting from physical inactivity. These policies aim to promote physical activity among Chinese Adolescent and improving health. As institutional mechanisms for building social consensus and providing strategic guidance, evaluating and optimizing these policies to enhance their efficacy represents a critical imperative.MethodThis paper employs the PMC-Index model to conduct text mining on 9 adolescent Physical fitness policies implemented in China since the inception of the new century. This paper first constructs PMC-Index model, then conducts quantitative analysis on the text, and finally calculates the scores of nine policies in various dimensions to analyze the advantages and disadvantages of the policies. In addition, this paper performs visual analysis by drawing a curved surface diagram.ResultThe nine adolescent sports health promotion policies in China yield an average score of 6.83, indicating a generally sound status overall. However, deficiencies exist in supervising policy implementation, coordinating stakeholder responsibilities, and ensuring policy safeguards.ConclusionsThe results indicate that China should strengthen the application of youth sports supply-side policy instruments in the future, clarify the division of responsibilities among schools, families and communities, improve the reward and punishment mechanism of policy implementation, and effectively improve the effectiveness of youth Physical fitness policies.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625225/fulladolescent physical activity policiesPMC-Index modelpolicy evaluationtext miningpublic health
spellingShingle Xinzhu Huang
Changsheng Zhang
Jiang Li
Xianming Ding
Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
Frontiers in Public Health
adolescent physical activity policies
PMC-Index model
policy evaluation
text mining
public health
title Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
title_full Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
title_fullStr Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
title_full_unstemmed Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
title_short Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach
title_sort quantitative evaluation of china s adolescent physical activity policies a pmc index model approach
topic adolescent physical activity policies
PMC-Index model
policy evaluation
text mining
public health
url https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625225/full
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AT changshengzhang quantitativeevaluationofchinasadolescentphysicalactivitypoliciesapmcindexmodelapproach
AT jiangli quantitativeevaluationofchinasadolescentphysicalactivitypoliciesapmcindexmodelapproach
AT xianmingding quantitativeevaluationofchinasadolescentphysicalactivitypoliciesapmcindexmodelapproach