ORIGINAL RESEARCH article

Front. Public Health

Sec. Public Health Policy

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1625225

Evaluation of Chinese Adolescent Physical Activity Policies Based on PMC-Index Model

Provisionally accepted
  • 1Chengdu Sport University, Chengdu, China
  • 2Chongqing University of Education, Chongqing, China
  • 3Jishou University, Hunan, China

The final, formatted version of the article will be published soon.

Background: China 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.Method: This 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 9 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.The 9 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.The 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.

Keywords: adolescent physical activity policies, PMC-Index model, Policy evaluation, text mining, public health No. Keyword Frequency No. Keyword Frequency No. Keyword Frequency No

Received: 08 May 2025; Accepted: 20 Jun 2025.

Copyright: © 2025 Huang, Zhang, Li and Ding. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xianming Ding, Jishou University, Hunan, China

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