Evidence map›Paper›PMID 41229484›Full record

ArticleFrontiers in public health2025

Policy tools, objectives, and governance in China's public sports services: an X-Y-Z framework analysis of national and provincial policies.

Wenzhe Zhou

Abstract read
In one paragraph

Article in Frontiers in 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.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

1 author.

Wenzhe ZhouSchool of Public Administration, South China University of Technology, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As part of "Healthy China 2030" strategy, China has emphasized the expansion and equalization of public sports services to improve population health and promote social equity. Despite these goals, current policies often exhibit fragmented tool selection, vague targeting, and weak alignment with public needs, limiting their effectiveness in supporting inclusive, high-quality development. Methods: This study proposes an "X-Y-Z" analytical framework that integrates policy tools (X), policy objectives (Y), and thematic features (Z). Using content analysis, 76 national and provincial policy documents (2015-2025) were systematically coded. NVivo14 was used to extract and classify policy tools and objectives, while ROST-CM6 identified high-frequency keywords and constructed a semantic network. Results: The findings show a heavy reliance on supply-oriented tools, with demand-oriented tools significantly underutilized. Policy objectives are mainly concentrated on industrial development and national fitness, with relatively low attention to equity and economic benefit. Thematic analysis highlights "health," "construction," and "development" as core priorities, while "innovation" remains marginalized. Conclusion: By combining text encoding with semantic network analysis, this study provides a replicable and data driven approach to evaluating policies in the field of public health. It points out structural imbalances and reveals key blind spots in policy design. The research results provide an empirical basis for optimizing tool selection, coordinating multiple objectives, and enhancing policy responsiveness and fairness.

Indexed as

Health PolicyPolicy MakingPublic HealthPublic PolicySportsChinaHumanscontent analysisoptimization strategypublic healthpublic sports service policysemantic networkX-Y-Z

Identifiers

PMID41229484
PMCPMC12602396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.