Evidence map›Paper›PMID 41867264›Full record

ArticlePublic health in practice (Oxford, England)2026

Differential associations of physical activity and exercise to physical fitness.

Kai-Yang Lo, Hsiu-Fan Hsu, Yen-Po Yeh, Dih-Ling Luh

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Kai-Yang LoCenter for Physical and Health Education, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan, ROC.
Hsiu-Fan HsuDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi, 613, Taiwan, ROC.
Yen-Po YehChanghua Health Bureau, Changhua, 500, Taiwan, ROC.
Dih-Ling LuhDepartment of Public Health, Chung Shan Medical University, Taichung, 402, Taiwan, ROC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Physical activity (PA) and exercise behavior are important strategies and assessment indicators for health promotion. However, past studies have measured PA and exercise differently, leading to inconsistent and difficult-to-compare results regarding their association with health. To elucidate the relationship between the Global Physical Activity Questionnaire (GPAQ) and self-reported exercise behavior and their association with health outcomes, this study aims to determine which approach reflects more health benefits. Study design: A cross-sectional study was conducted using data from the 2020 CHCIS program in Taiwan. Methods: A total of 1631 participants aged 40-64 years who completed both physical fitness assessments and the Global Physical Activity Questionnaire (GPAQ) were included. Exercise behavior was categorized as never, irregular, or regular, while physical activity (PA) was classified into two groups based on metabolic equivalents (METs), using a cutoff of 600 MET-minutes per week. Associations with physical fitness outcomes were examined using logistic regression in SAS version 9.4. Results: Our findings revealed that individuals who did not engage in exercise demonstrated lower flexibility, while those who exercised regularly but had low PA-METs showed poor muscular endurance. Additionally, individuals who did not exercise and had low PA-METs exhibited poor cardiorespiratory endurance. Conclusions: Our study revealed diverse connections between PA, exercise, and physical fitness. When promoting PA, it is suggested to exclude work-related PA and prioritize purposeful PA with adequate intensity, duration, and regularity to maximize the benefits for physical fitness.

Indexed as

Global physical activity questionnairePhysical fitnessSelf-reported exercise behavior

Identifiers

PMID41867264
PMCPMC12999313

What OpenQuestion holds

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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.