Evidence map›Paper›PMID 39881880›Full record

ArticleJournal of exercise science and fitness2025

Factors associated with physical fitness and disparities in population segments among older adults: A cross-sectional study.

Yuqin Rao, Jingjing Wang, Kai Li, Fanhui Zheng, Ying Chen, Bo Zhai, Jintao Hong, Chen Wang, Bao Liu, Dao Wang

Abstract read
In one paragraph

Article in Journal of exercise science and fitness, 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

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

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

10 authors.

Yuqin RaoDepartment of Health Economics, School of Public Health, Fudan University, 130 Dong'an Road, Shanghai, 200032, China.
Jingjing WangShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Kai LiDepartment of Health Economics, School of Public Health, Fudan University, 130 Dong'an Road, Shanghai, 200032, China.
Fanhui ZhengShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Ying ChenShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Bo ZhaiShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Jintao HongShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Chen WangShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.
Bao LiuDepartment of Health Economics, School of Public Health, Fudan University, 130 Dong'an Road, Shanghai, 200032, China.
Dao WangShanghai Research Institute of Sports Science (SHRlSS), No. 87, Wuxing Road, Shanghai, 200031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the factors associated with physical fitness and disparities in population segments among older adults, using data from the National Physical Fitness Surveilling Survey of China. Study design: A cross-sectional study. Methods: A total of 13524 older adults aged 60-79 years were involved in the study. Participants completed physical fitness assessments encompassing body fat percentage, lung capacity, high leg raise in place, grip strength, seated forward bending, 30-s sit-to-stand test, single-leg standing with eyes closed, and choice reaction time. A profile analysis model was constructed by feature extraction, label design and clustering using principal component analysis and k-prototypes. Factors associated with physical fitness were analyzed using ordered probit regression, and within-group differences were evaluated through the bootstrap method. Results: The older adults were categorized into four clusters based on the clustering results (Cluster I: n = 2728, Cluster II: n = 6067, Cluster III: n = 4189, Cluster IV: n = 540). Significant positive associations were identified between moderate-to-vigorous transport-related activities Conclusion: The findings demonstrate that engagement in moderate-to-vigorous physical activities and exercise is associated with a significantly higher probability of achieving better physical fitness among older adults. Participating in physical activities and exercise should be encouraged based on population segments for precise and quantitative interventions to improve physical fitness.

Indexed as

Older adultsPhysical fitnessPopulation segmentsProfile analysis model

Identifiers

PMID39881880
PMCPMC11774826

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.