Published, Version of Record (VoR)CC BY V4.0, Open
Abstract
built environment generalized estimating equations older adults walking
Some cross-sectional evidence suggests that the objectively measured built environment can encourage walking among older adults. We examined the associations between objectively measured built environment with change in self-reported walking among older women by using data from the Study of Osteoporotic Fractures (SOF). We evaluated the longitudinal associations between built environment characteristics and walking among 1253 older women (median age = 71 years) in Portland, Oregon using generalized estimating equation models. Built environment characteristics included baseline values and longitudinal changes in distance to the closest bus stop, light rail station, commercial area, and park. A difference of 1 km in the baseline distance to the closest bus stop was associated with a 12% decrease in the total number of blocks walked per week during follow-up (e
β
= 0.88, 95% CI: 0.78, 0.99). Our study provided limited support for an association between neighborhood transportation and changes in walking among older women. Future studies should consider examining both objective measures and perceptions of the built environment.
The Association between Changes in Built Environment and Changes in Walking among Older Women in Portland, Oregon
Creators
Justin Guan - Drexel University
Jana A. Hirsch - Drexel University
Loni Philip Tabb - Drexel University
Teresa A. Hillier - Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, USA Urban Health Collaborative, Philadelphia, PA 19104, USA Kaiser Permanente Northwest Center for Health Research, Portland, OR 97227, USA
Yvonne L. Michael - Drexel University
Publication Details
International journal of environmental research and public health, v 19(21), p14168
Publisher
MDPI
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative; Epidemiology and Biostatistics
Web of Science ID
WOS:000884017100001
Scopus ID
2-s2.0-85141588686
Other Identifier
991019288528004721
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