Evidence map›Paper›PMID 41299499›Full record

ArticleBMC public health2025

Path preference analysis of youth physical health policy tools.

Min Wang, Kaiyuan Yang, Lanchuan Zhang, Junwei Wang, Yu Zheng

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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Min WangSchool of Economics and Management, Chengdu Sport University, #2 tiyuan Road, Chengdu, 610041, China.
Kaiyuan YangSchool of Economics and Management, Chengdu Sport University, #2 tiyuan Road, Chengdu, 610041, China.
Lanchuan ZhangSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Junwei WangSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Yu ZhengSchool of Economics and Management, Chengdu Sport University, #2 tiyuan Road, Chengdu, 610041, China. zhengyu@cdsu.edu.cn.

Funding

Key Project of Sichuan Provincial Philosophy and Social Science Foundation 20230015the"14th Five Year Plan"Scientific Research and Innovation Team of Chengdu Sport University 23CXTD02the Key R&D Projects of Sichuan Provincial Science and Technology Plan Project 2022YFS0053the Soft Science Project of Sichuan Provincial Department of Science and Technology 2022JDR0314
6 · The paper itself

Abstract

backgroundYouth physical health remains a significant challenge in global public health governance. Low sports participation among youth in China significantly impedes the progress of the Healthy China 2030 initiative. While policy tools are essential for addressing this issue, their combined effects and regional adaptability are not well understood.

methodsThis study uses a mixed-methods approach, combining procedural grounded theory and fuzzy-set qualitative comparative analysis (fsQCA). We first reviewed 39 national youth physical health policies to identify four main types of policy tools: substantive, incentive, capacity-building, and symbolic and persuasive tools. Then, fsQCA was used to analyze 25 provincial cases, exploring how different combinations of policy tools influence youth participation in sports.

resultsThis paper identifies three configuration paths: Configuration 1 (substantive, incentive, and capacity-building tools) shows that these three categories cover 40.1% of the cases (consistency = 0.874). For example, in Jiangsu province, youth sports participation has been successfully increased through institutional coercion, financial incentives, and investments in facilities. Configuration 2 (substantive, incentive, and symbolic and persuasive tools) reveals that capacity-building tools are not essential (consistency = 0.973). For instance, Liaoning province replaces capacity-building tools with administrative accountability mechanisms and health communication strategies under resource constraints. Configuration 3 (symbolic and persuasive tools, capacity-building tools) indicates that a non-coercive pathway is viable (consistency = 1.000). The case in Guangdong province demonstrates that when health concepts are internalized into social norms through symbolic and persuasive tools, community sports self-organizations and digital service platforms-supported by capacity-building tools-can form and operate spontaneously, which may help reduce reliance on substantive and incentive-based tools.

conclusionsChinese policymakers tend to favor substantive and incentive-based tools, which are seen as producing faster results. However, they often overlook capacity-building, along with symbolic and persuasive strategies. We suggest adopting flexible, region-specific approaches that consider local resources and cultural contexts. These insights might provide practical guidance for improving the World Health Organization's Global Action Plan on Physical Activity across different socioeconomic settings.

Indexed as

Health PolicyAdolescentCapacity BuildingChinaGrounded TheoryHumansMaleQualitative ResearchPhysical healthPolicy toolsQualitative comparative analysis (QCA)Youth

Identifiers

PMID41299499
PMCPMC12659053

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LicenceCC BY-NC-ND
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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.