» Articles » PMID: 22967164

The Influence of the Macro-environment on Physical Activity: a Multilevel Analysis of 38 Countries Worldwide

Overview
Publisher Biomed Central
Date 2012 Sep 13
PMID 22967164
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

Background: As indicated by the ANGELO framework and similar models, various environmental factors influence population levels of physical activity (PA). To date attention has focused on the micro-level environment, while evidence on the macro-level environment remains scarce and mostly limited to high-income countries. This study aims to investigate whether environmental factors at macro-level are associated with PA among a broader range of countries.

Methods: Data from the World Health Survey (WHS) was used to analyze 177,035 adults from 38 (mostly low and middle income) countries. The International Physical Activity Questionnaire-Short Form (IPAQ-S) was used to measure PA. Respondents were classified as active or inactive for vigorous PA, moderate PA and walking. Multilevel logistic regression was performed to assess associations between macro-level environmental factors and the prevalence of PA, with control for individual-level socioeconomic factors.

Results: The prevalence of PA varied widely between countries and types of PA (5.0%-93.8%). A negative association was found between gross domestic product and PA, odds ratios for men were 0.76 (95% CI: 0.65-0.89) for moderate PA and 0.79 (95% CI: 0.63-0.98) for walking. A higher temperature was associated with less PA (all types) and higher urbanization was associated with less vigorous and moderate PA. More gender equality was also associated with more walking for women. Governmental functioning and literacy rate were not found to be associated with any type of PA.

Conclusions: This exploratory study indicates that factors such as climate, economic development and cultural factors are determinants of the level of overall PA at national levels. This underlines the suggestion that the macro-environment should be regarded as an important influence on PA.

Citing Articles

Social activities and different intensities of physical activity among older adults in China: a population-based cohort study.

Yang S, Zhang Q, Zhao A, Lyu D Front Public Health. 2025; 13:1530895.

PMID: 39944065 PMC: 11813791. DOI: 10.3389/fpubh.2025.1530895.


Association of physical activity with socio-economic status and chronic disease in older adults in China: cross-sectional findings from the survey of CLASS 2020 after the outbreak of COVID-19.

Li Y, Cui M, Pang Y, Zhan B, Li X, Wang Q BMC Public Health. 2024; 24(1):37.

PMID: 38166980 PMC: 10762973. DOI: 10.1186/s12889-023-17492-9.


Status and Trends of Physical Activity Surveillance, Policy, and Research in 164 Countries: Findings From the Global Observatory for Physical Activity-GoPA! 2015 and 2020 Surveys.

Ramirez Varela A, Hallal P, Mejia Grueso J, Pedisic Z, Salvo D, Nguyen A J Phys Act Health. 2022; 20(2):112-128.

PMID: 36535269 PMC: 10115485. DOI: 10.1123/jpah.2022-0464.


The effect of family structure on physical activity levels among children and adolescents in Western China in the era of COVID-19.

Shi M, Shi Y, Zhao Z, Zhai X, Fan X BMC Public Health. 2022; 22(1):2072.

PMID: 36376883 PMC: 9660204. DOI: 10.1186/s12889-022-14432-x.


Co-occurrence of non-communicable disease risk factors and its determinants among school-going adolescents of Kathmandu Metropolitan City.

Tandon K, Adhikari N, Adhikari B, Pradhan P PLoS One. 2022; 17(8):e0272266.

PMID: 35947549 PMC: 9365171. DOI: 10.1371/journal.pone.0272266.


References
1.
Dumith S, Hallal P, Reis R, Kohl 3rd H . Worldwide prevalence of physical inactivity and its association with human development index in 76 countries. Prev Med. 2011; 53(1-2):24-8. DOI: 10.1016/j.ypmed.2011.02.017. View

2.
Popkin B, Gordon-Larsen P . The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord. 2004; 28 Suppl 3:S2-9. DOI: 10.1038/sj.ijo.0802804. View

3.
Hosseinpoor A, Parker L, Tursan dEspaignet E, Chatterji S . Social determinants of smoking in low- and middle-income countries: results from the World Health Survey. PLoS One. 2011; 6(5):e20331. PMC: 3105024. DOI: 10.1371/journal.pone.0020331. View

4.
Bauman A, Ma G, Cuevas F, Omar Z, Waqanivalu T, Phongsavan P . Cross-national comparisons of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pacific countries. J Epidemiol Community Health. 2010; 65(1):35-43. DOI: 10.1136/jech.2008.086710. View

5.
Seiluri T, Lahti J, Rahkonen O, Lahelma E, Lallukka T . Changes in occupational class differences in leisure-time physical activity: a follow-up study. Int J Behav Nutr Phys Act. 2011; 8:14. PMC: 3058076. DOI: 10.1186/1479-5868-8-14. View