Deepti Adlakha1, Aaron J Hipp2, Christine Marx3, Lin Yang3, Rachel Tabak4, Elizabeth A Dodson2, Ross C Brownson5. 1. Brown School, Washington University in St. Louis, St. Louis, Missouri. Electronic address: deeptia@wustl.edu. 2. Brown School, Washington University in St. Louis, St. Louis, Missouri; Prevention Research Center, Division of Public Health Sciences, Washington University in St. Louis, St. Louis, Missouri. 3. Department of Surgery, School of Medicine, Washington University in St. Louis, St. Louis, Missouri. 4. Prevention Research Center, Division of Public Health Sciences, Washington University in St. Louis, St. Louis, Missouri. 5. Brown School, Washington University in St. Louis, St. Louis, Missouri; Prevention Research Center, Division of Public Health Sciences, Washington University in St. Louis, St. Louis, Missouri; Alvin J. Siteman Cancer Center, School of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Abstract
BACKGROUND: Physical inactivity has been associated with obesity and related chronic diseases. Understanding built environment (BE) influences on specific domains of physical activity (PA) around homes and workplaces is important for public health interventions to increase population PA. PURPOSE: To examine the association of home and workplace BE features with PA occurring across specific life domains (work, leisure, and travel). METHODS: Between 2012 and 2013, telephone interviews were conducted with participants in four Missouri metropolitan areas. Questions included sociodemographic characteristics, home and workplace supports for PA, and dietary behaviors. Data analysis was conducted in 2013; logistic regression was used to examine associations between BE features and domain-specific PA. RESULTS: In home neighborhoods, seven of 12 BE features (availability of fruits and vegetables, presence of shops and stores, bike facilities, recreation facilities, crime rate, seeing others active, and interesting things) were associated with leisure PA. The global average score of home neighborhood BE features was associated with greater odds of travel PA (AOR=1.99, 95% CI=1.46, 2.72); leisure PA (AOR=1.84, 95% CI=1.44, 2.34); and total PA (AOR=1.41, 95% CI=1.04, 1.92). Associations between workplace neighborhoods' BE features and workplace PA were small but in the expected direction. CONCLUSIONS: This study offers empirical evidence on BE supports for domain-specific PA. Findings suggest that diverse, attractive, and walkable neighborhoods around workplaces support walking, bicycling, and use of public transit. Public health practitioners, researchers, and worksite leaders could benefit by utilizing worksite domains and measures from this study for future BE assessments.
BACKGROUND: Physical inactivity has been associated with obesity and related chronic diseases. Understanding built environment (BE) influences on specific domains of physical activity (PA) around homes and workplaces is important for public health interventions to increase population PA. PURPOSE: To examine the association of home and workplace BE features with PA occurring across specific life domains (work, leisure, and travel). METHODS: Between 2012 and 2013, telephone interviews were conducted with participants in four Missouri metropolitan areas. Questions included sociodemographic characteristics, home and workplace supports for PA, and dietary behaviors. Data analysis was conducted in 2013; logistic regression was used to examine associations between BE features and domain-specific PA. RESULTS: In home neighborhoods, seven of 12 BE features (availability of fruits and vegetables, presence of shops and stores, bike facilities, recreation facilities, crime rate, seeing others active, and interesting things) were associated with leisure PA. The global average score of home neighborhood BE features was associated with greater odds of travel PA (AOR=1.99, 95% CI=1.46, 2.72); leisure PA (AOR=1.84, 95% CI=1.44, 2.34); and total PA (AOR=1.41, 95% CI=1.04, 1.92). Associations between workplace neighborhoods' BE features and workplace PA were small but in the expected direction. CONCLUSIONS: This study offers empirical evidence on BE supports for domain-specific PA. Findings suggest that diverse, attractive, and walkable neighborhoods around workplaces support walking, bicycling, and use of public transit. Public health practitioners, researchers, and worksite leaders could benefit by utilizing worksite domains and measures from this study for future BE assessments.
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