Using Objective and Subjective Measures of Neighborhood Greenness and Accessible Destinations for Understanding Walking Trips and BMI in Seattle, Washington

American Journal of Health Promotion - Tập 21 Số 4_suppl - Trang 371-379 - 2007
Jenna H. Tilt1, Thomas M. Unfried1, Belén Fernández de Alarcón Roca1
1Jenna H. Tilt, MS, is with the Urban Ecology Program, College of Forest Resources, University of Washington, Seattle, Washington. Thomas M. Unfried, MS, is with the Urban Ecology Program, College of Forest Resources, University of Washington, Seattle, Washington. Belen Roca, MS, is with the Urban Ecology Program, College of Architecture and Urban Planning, University of Washington, Seattle, Washington

Tóm tắt

Purpose. Examine the influence of destinations within walking distance of a residence and vegetation on walking trips and body mass index (BMI). Design. Cross-sectional analysis of data from residences with varying accessibility and greenness. Setting. Seattle, Washington. Subjects. Stratified random sample of residents, stratified by accessibility and greenness. Response rate: 17.5%, 529 respondents. Measures. Accessibility and greenness were measured objectively by Geographic Information Systems (GIS) Network Analysis and normalized difference vegetation index (NDVI), respectively. Self-reported destinations, natural features, walking trips, BMI, and importance of destinations were measured through a postal survey. Results. Objective accessibility were related to walking trips per month (r2 = .110, p < .0001), as was subjective greenness (r2 = .051, p < .0001), although objective measures of actual greenness were not. In areas with high accessibility, BMI was lower in areas that had high NDVI, or more greenness (r2 = .129428, model p < .0001; t-test of interaction p = .0257). Low NDVI areas were associated with overestimation of the number of destinations within walking distance (F1, 499 = 11.009, p < .001). Conclusions. Objective and subjective measurements of accessibility and greenness led to an understanding of variation among walking trips and BMI in different neighborhoods.

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