Measuring the Built Environment for Physical Activity
Open accessAbstract
Physical inactivity is one of the most important public health issues in the U.S. and internationally. Increasingly, links are being identified between various elements of the physical-or built-environment and physical activity. To understand the impact of the built environment on physical activity, the development of high-quality measures is essential. Three categories of built environment data are being used: (1) perceived measures obtained by telephone interview or self-administered questionnaires; (2) observational measures obtained using systematic observational methods (audits); and (3) archival data sets that are often layered and analyzed with GIS. This review provides a critical assessment of these three types of built-environment measures relevant to the study of physical activity. Among perceived measures, 19 questionnaires were reviewed, ranging in length from 7 to 68 questions. Twenty audit tools were reviewed that cover community environments (i.e., neighborhoods, cities), parks, and trails. For GIS-derived measures, more than 50 studies were reviewed. A large degree of variability was found in the operationalization of common GIS measures, which include population density, land-use mix, access to recreational facilities, and street pattern. This first comprehensive examination of built-environment measures demonstrates considerable progress over the past decade, showing diverse environmental variables available that use multiple modes of assessment. Most can be considered first-generation measures, so further development is needed. In particular, further research is needed to improve the technical quality of measures, understand the relevance to various population groups, and understand the utility of measures for science and public health.
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Across systematic reviews, 5 of 8 studies found a positive relation between overall land-use mix and children's active commuting.
“Across all these systematic reviews, 5 of 6 studies found a positive relation between overall land-use mix and children’s physical activity; in 5 of 8 studies, between overall land-use mix and children’s active commuting; and in 3 of 3 studies, between distance from home to school and children’s active commuting.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [352]
Across systematic reviews, 3 of 3 studies found a positive relation between distance from home to school and children's active commuting.
“Across all these systematic reviews, 5 of 6 studies found a positive relation between overall land-use mix and children’s physical activity; in 5 of 8 studies, between overall land-use mix and children’s active commuting; and in 3 of 3 studies, between distance from home to school and children’s active commuting.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [352]
Across systematic reviews, 5 of 6 studies found a positive relation between overall land-use mix and children's physical activity.
“Across all these systematic reviews, 5 of 6 studies found a positive relation between overall land-use mix and children’s physical activity; in 5 of 8 studies, between overall land-use mix and children’s active commuting; and in 3 of 3 studies, between distance from home to school and children’s active commuting.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [352]
After adjustment for confounders, magnitudes of relationships between land-use mix and children's physical activity or active commuting often remained quite large, especially for active commuting.
“After adjustment for confounders, magnitudes of these relationships often remained quite large (eg, OR 2- to 3-fold or higher associations), especially for active commuting.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [352]
Few studies evaluated walkability and adiposity in either children or adults, with a minority of these observing positive findings.
“Few studies evaluated walkability and adiposity in either children or adults, with a minority of these observing positive findings.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [352]
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Perceptions of Midwest Rural Women Related to Their Physical Activity and Eating Behaviors
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- Authors
- Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F.
- Affiliations
- Washington University in St. Louis (US)
- University of California, Irvine (US)
- Cornell University (US)
- San Diego State University (US)
- Corresponding author
- Brownson, Ross C.
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 36
- Issue
- 4
- Pages
- S99-S123.e12
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC2844244
- OpenAlex
- W2097133198
- Cited by
- 1,318
- References
- 171
- Citations by year
- 2026: 38 · 2025: 51 · 2024: 68 · 2023: 61 · 2022: 82 · 2021: 92 · 2020: 107 · 2019: 109 · 2018: 71 · 2017: 77 · 2016: 102 · 2015: 77 · 2014: 101 · 2013: 85 · 2012: 80
- FWCI
- 158.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r18dk061706-04)
- National Institute of Diabetes and Digestive and Kidney Diseases (R18 DK061706)
- National Center for Chronic Disease Prevention and Health Promotion (U48-DP000060)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Urban Green Space and Health
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- built environment, physical activity, physical inactivity, environmental perception, environmental auditing, mixed land use, population density, street layout, neighborhood environment, questionnaire development
- MeSH terms
- Environment Design, Environmental Monitoring, Forecasting, Health Promotion, Humans, Leisure Activities, Management Audit, Motor Activity, Physical Fitness, Population Dynamics, Recreation, Research Design, Social Environment, United States, Reproducibility of Results, Health Behavior, Exercise, Risk Reduction Behavior
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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