Evidence map›Paper›PMID 41341443›Full record

ArticleFrontiers in public health2025

The impact of the sports industry on the development of the health industry: an exploration of mediating and threshold effects.

Shutong Zhao, Haiyan Huang

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

2 authors.

Shutong ZhaoSchool of Economics and Management, Shanghai University of Sport, Shanghai, China.
Haiyan HuangSchool of Management, Beijing Sport University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The sports and health industries play a crucial role in fulfilling individuals' aspirations for an enhanced quality of life and in supporting the development of a Healthy China. Methods: To explore the impact mechanism of the sports industry (SID) on the development of the health industry (HID), this study employed a rigorous empirical framework utilizing panel data from 30 provinces in China over the period 2014-2023. Using fixed-effects and mediation-effect models, this study examined the influence mechanism and identified the key pathways through which the sports industry impacts the development of the health industry. Results: The results demonstrate that the sports industry positively influences the development of the health industry. This conclusion remains robust across a series of robustness tests. The heterogeneous analysis reveals regional variation in the impact of the sports industry on the health industry development. Among the regions, the sports industry has the strongest promotional effect on health industry's development in the western regions, followed by the eastern and central regions. Conversely, the impact in the northeastern regions is relatively negligible. Mediation effect analysis reveals that the sports industry can effectively stimulate the development of the health industry by significantly increasing R&D intensity. Furthermore, testing the threshold effect indicates that the impact of the sports industry on the health industry exhibits a double threshold and non-linear diminishing marginal effects. Discussion: This study contributes to a comprehensive understanding of the sports industry's impact on the health industry. Based on these findings, we proposed a series of targeted recommendations.

Indexed as

Health Care SectorSportsChinaHumansfixed effecthealth industryinfluence mechanismmediating effectsports industrythreshold effect

Identifiers

PMID41341443
PMCPMC12669122

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.