Evidence map›Paper›PMID 40038815›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Examining the moderating role of physical fitness on the relationship between ice and snow sports participation and health outcomes in China.

Wenbo Song, Jiajia Cui

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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.

Wenbo SongJilin Normal University, 1301 Haifeng Street, Tiexi District, Siping City, Jilin Province, 136000, China.
Jiajia CuiJilin Sports University, 2476, Ziyou Road, Changchun City, Jilin Province, 130022, China. 15643160000@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study examines how ice and snow sports participation, fitness, perceived social support, and access to winter sports facilities affect health outcomes in China. Understanding winter sports' health benefits is essential for improving public health in colder parts of China, where their popularity is rising.

methodsA sample of 875 Chinese from various regions was used to examine variable relationships using structural equation modeling (SEM) and route analysis.

resultsHealth outcomes, fitness, winter sports facilities, and ice and snow sports participation were positively associated. A significant correlation (β = 0.22, p < 0.001) was established between ice and snow sports participation and physical fitness, highlighting the impact of winter sports on health. Perceived social support for winter sports improves cold weather tolerance (β = 0.27, p < 0.001), emphasizing the role of social networks in resilience. The correlation between physical fitness and access to winter sports facilities (β = 0.31, p < 0.001) highlights the importance of physical talents in winter sports participation. Positive associations between physical fitness (β = 0.25, p < 0.001) and winter sports social support (β = 0.19, p < 0.001) suggest favorable health and well-being impacts. Physical fitness moderates the health benefits of ice and snow sports participation (β = 0.12, p < 0.05), whereas perceived social support for winter sports mediates the effect (β = 0.09, p < 0.05).

conclusionsThe findings emphasize the importance of supporting ice and snow activities and providing infrastructure to promote health. Physical fitness and improved health outcomes on social support can improve winter sports benefits. Public health initiatives may leverage this information to encourage active living and enhance health.

Indexed as

ChinaHealth outcomesIce-snow sportsPerceived social supportPhysical fitnessStructural equation modelingWinter sports facilities

Identifiers

PMID40038815
PMCPMC11877848

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LicenceCC BY-NC-ND
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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.