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Perceived environment and physical activity: a meta-analysis of selected environmental characteristics
Open accessAbstract
Background: Several narrative reviews have been conducted on the literature examining environmental correlates of physical activity (PA). To date these reviews have been unable to provide definitive summaries of observed associations. This study utilizes meta-analytical techniques to calculate summaries of associations between selected environmental characteristics and PA. Methods: Published studies were identified from electronic databases and searches of personal files. Studies were examined to determine the environmental constructs most frequently studied. Included studies (N = 16) examined at least one identified construct and determined associations between perceived environmental constructs and PA using logistic regression. Data were analyzed separately for crude and adjusted ORs using general-variance based fixed effect models. Results: No significant associations emerged between environmental characteristics and PA using crude OR. The perceived presence of PA facilities (OR 1.20, 95% 1.06–1.34), sidewalks (OR 1.23, 95% 1.13–1.32), shops and services (OR 1.30, 95% 1.14–1.46) and perceiving traffic not to be a problem (OR 1.22, 95% 1.08–1.37) were positively associated with activity using adjusted ORs. Variance in PA accounted for by significant associations ranged from 4% (heavy traffic not a problem) to 7% (presence of shops and services). Conclusion: Results of the meta-analysis support the relevance of perceived environmental characteristics for understanding population PA. These results should encourage the use of comprehensive ecological models that incorporate variables beyond basic demographic information.
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“Among adults, greater accessibility was generally, although not always, associated with more physical activity.28,337–342”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [340]
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“In 1 meta-analysis, after adjustment for age, income, and education, the presence of physical activity facilities was positively associated with physical activity assessed as a binary factor, eg, any walking, sufficient walking, sufficient leisure-time activity (OR=1.20; 95% CI, 1.06, 1.34).340”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [340]
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Metadata
- Authors
- Duncan, M. J., Spence, J. C., & Mummery, W. K.
- Affiliations
- Central Queensland University (AU)
- University of Alberta (CA)
- Corresponding author
- Duncan, Mitch J
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2005-09-05
- Volume
- 2
- Issue
- 1
- Pages
- 11-11
- ISSN
- 1479-5868 (ISSN-L)
- PMC
- PMC1236952
- OpenAlex
- W2168416875
- Cited by
- 413
- References
- 75
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 14 · 2022: 12 · 2021: 23 · 2020: 29 · 2019: 22 · 2018: 18 · 2017: 12 · 2016: 22 · 2015: 20 · 2014: 25 · 2013: 28 · 2012: 39
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Acquire (CQUniversity) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Central Queensland University
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Social Sciences › Urban Studies › Urban Green Space and Health
- Keywords
- environmental perception, physical activity, built environment, sidewalks, recreational facilities, road safety, ecological model
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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