Evidence map›Paper›PMID 40817299›Full record

ArticleScientific reports2025

A study of the relationship and drivers between participation in sports program diversity and physical fitness.

Deqiang Zhao, Xiaoxiao Chen, Aoyu Zhang, Yibei Wang, Yibo Gao, Jin He, Lupei Jiang, Yanfeng Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Deqiang ZhaoChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Xiaoxiao ChenChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Aoyu ZhangChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Yibei WangChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Yibo GaoChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Jin HeChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Lupei JiangChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China.
Yanfeng ZhangChina Institute of Sport Science, No.11 Tiyu Guan Road, Dongcheng District, Beijing, 100061, China. zhangyanfeng0310@126.com.

Funding

Joint research project between the Sports Bureau of the Government of the Macao Special Administrative Region of China and the Institute of Sports Science of the State General Administration of Sports (b2117)
6 · The paper itself

Abstract

Leisure-time physical activity has changed over the past few decades. Participation in diverse sports programs by children and adolescents is more conducive to increasing physical activity levels and promoting individual health. The purpose of this study was to explore the correlation between adherence to participation in diversity of sports programs and physical fitness among children and adolescents, in addition to analyzing individual attitudinal, family, and school dimensional factors that influence children's and adolescents' participation in diversity of sports programs. This study included cross-sectional data from 3309 child adolescents. Next, physical fitness indicators were also included. The study used Pearson correlation analysis, one-way ANOVA, and linear regression. Pearson correlation and one-way ANOVA were used to explore the correlation between diversity and physical fitness in participating sports and the differences in physical fitness between different sports groups. In addition, the linear regression method was used to analyze the impact of diversity on physical fitness. Finally, ordinal logistic regression was used to analyze the influencing factors of diversity in participating sports programs.Significant correlations were observed between diversity of participation in sports programs and various physical fitness indicators across all age groups, including muscular strength, speed, endurance, and flexibility (p < 0.01). Additionally, physical fitness levels significantly differed among groups with different numbers of sports participation (p < 0.05).Furthermore, misconceptions about physical activity were identified as a negative factor influencing sports program diversity (β = -0.193, p < 0.01), whereas willingness to consistently engage in physical activity was a strong positive predictor (β = 0.494, p < 0.01). Longer screen time negatively affected sports program diversity (β = -0.047, p < 0.05), and difficulty completing school physical education requirements was also a limiting factor (β = -0.112, p < 0.05). In contrast, peer influence served as a positive factor promoting sports program diversity (β = 0.071, p < 0.01).Conclusion: Greater diversity in sports program participation is associated with better physical fitness outcomes and contributes to overall health promotion in children and adolescents. Sustained participation in a variety of sports programs requires broader social support, especially from families and peers, which may enable more youth to remain engaged in diverse physical activities. Participation in diverse sports programs can bring lasting benefits and is recognized as a key element of a healthy lifestyle. Therefore, more targeted strategies are needed to increase participation in both diverse sports programs and general physical activity among youth.

Indexed as

ExercisePhysical FitnessSportsAdolescentChildCross-Sectional StudiesFemaleHumansMaleChildren and adolescentsCross-sectional analysisPhysical activityPhysical fitnessSports programs

Identifiers

PMID40817299
PMCPMC12356942

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.