TY - JOUR
T1 - Measuring the Built Environment for Physical Activity. State of the Science
AU - Brownson, Ross C.
AU - Hoehner, Christine M.
AU - Day, Kristen
AU - Forsyth, Ann
AU - Sallis, James F.
N1 - Funding Information:
This project was funded through the National Cancer Institute and the Robert Wood Johnson Foundation (Healthy Eating Research) grant no. 63090; CDC contract no. U48/DP000060 (Prevention Research Centers Program); the Robert Wood Johnson Foundation (Active Living Research) grant no. 57152; and the American Cancer Society Mentored Research Scholar Grant no. MRSG-07-016-01-CPPB. An earlier version of this paper was presented at a workshop sponsored by the National Institutes of Health and the Robert Wood Johnson Foundation, “Measures of the Food and Built Environments: Enhancing Research Relevant to Policy on Diet, Physical Activity, and Weight” which was held November 1–2, 2007.
PY - 2009/4
Y1 - 2009/4
N2 - 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.
AB - 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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U2 - 10.1016/j.amepre.2009.01.005
DO - 10.1016/j.amepre.2009.01.005
M3 - Review article
C2 - 19285216
AN - SCOPUS:61649104378
SN - 0749-3797
VL - 36
SP - S99-S123.e12
JO - American journal of preventive medicine
JF - American journal of preventive medicine
IS - 4 SUPPL.
ER -