Evidence map›Paper›PMID 40652168›Full record

ArticleBMC public health2025

Comparison of the relationship between key demographic features and physical activity levels across 22 countries.

Chung Gun Lee, Elizabeth Kwon, Jason Paltzer, Chukwuemeka N Okafor, Tyler J VanderWeele, Byron R Johnson, Joo Hee Choi

Abstract readComparative Study
In one paragraph

Article in BMC public health, 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Chung Gun LeeDepartment of Physical Education, College of Education 71-1, Seoul National University, Seoul, 08826, South Korea.
Elizabeth KwonDepartment of Public Health, Baylor University, Waco, TX, USA.
Jason PaltzerThe Meros Center, Wisconsin Lutheran College, Milwaukee, WI, USA.
Chukwuemeka N OkaforDepartment of Medicine, Division of Infectious Diseases, Long School of Medicine, University of Texas Health Science Center San Antonio, Antonio, TX, USA.
Tyler J VanderWeeleDepartments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Byron R JohnsonInstitute for Studies of Religion & Institute for Global Human Flourishing, Baylor University, Waco, TX, USA.
Joo Hee ChoiDepartment of Physical Education, College of Education 71-1, Seoul National University, Seoul, 08826, South Korea. gee324@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aims to examine global trends in physical activity levels and explore the potential influence of demographic factors on physical activity participation.

methodsUsing data from the Global Flourishing Study (GFS), which includes 202,898 participants from 22 geographically and culturally diverse countries, we assessed the average number of days of physical activity across various demographic groups (age, gender, marital status, employment, religious service attendance, education, immigration status) and across different countries.

resultsWhile patterns varied across the 22 countries, certain consistent trends overall emerged. Physical activity levels were higher among individuals aged 60-69 compared to younger and older age groups, men compared to women, and those in domestic partnerships compared to single individuals. Higher activity levels were also observed among the self-employed, those with higher educational attainment, frequent religious service attendees, and individuals born in the country of residence compared to immigrants. Notably, Egypt reported the lowest average number of physical activity days, whereas the Philippines reported the highest.

conclusionsThese results contribute to a deeper understanding of the sociodemographic disparities in physical activity participation. By documenting physical activity patterns across key demographic groups and countries worldwide, this study provides valuable insights into the social determinants of physical activity behavior.

Indexed as

ExerciseGlobal HealthAdolescentAdultAgedFemaleHumansMaleMiddle AgedSociodemographic FactorsYoung AdultCountry differencesDemographic factorsMeta-analysisPhysical activity behavior

Identifiers

PMID40652168
PMCPMC12255111

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.