GIS-measured walkability, transit, and recreation environments in relation to older Adults' physical activity: A latent profile analysis

PREVENTIVE MEDICINE

卷:93

Article

Todd, Michael¹  Adams, Marc A.²  Kurka, Jonathan²  Conway, Terry L.³  Cain, Kelli L.³  Buman, Matthew P.²  Frank, Lawrence D.^4,5  Sallis, James F.³  King, Abby C.⁶ 

[1] Arizona State Univ, Coll Nursing & Hlth Innovat, 500 N Third St, Phoenix, AZ 85004 USA

[2] Arizona State Univ, Sch Nutr & Hlth Promot, Exercise Sci & Hlth Promot Program, Phoenix, AZ USA

[3] Univ Calif San Diego, Sch Med, Dept Family Med & Publ Hlth, San Diego, CA 92103 USA

[4] Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada

[5] Univ British Columbia, Sch Community & Reg Planning, Vancouver, BC, Canada

[6] Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94305 USA

关键词: Built environment;    Environment design;    Aging in place;    Obesity;    Active transportation;    Exercise;   

DOI  :  10.1016/j.ypmed.2016.09.019

来源: Elsevier

【 摘 要 】

An infrequently studied question is how diverse combinations of built environment (BE) features relate to physical activity (PA) for older adults. We derived patterns of geographic information systems-(GIS) measured BE features and explored how they accounted for differences in objective and self-reported PA, sedentary time, and BMI in a sample of older adults. Senior Neighborhood Quality of Life Study participants (N = 714, aged 66-97 years, 52.1% women, 29.7% racial/ethnic minority) were sampled in 2005-2008 from the Seattle-King County, WA and Baltimore, MD-Washington, DC regions. Participants' home addresses were geocoded, and net residential density, land use mix, retail floor area ratio, intersection density, public transit density, and public park and private recreation facility density measures for 1-km network buffers were derived. Latent profile analyses (LPAs) were estimated from these GIS-based measures. In multilevel regression models, profiles were compared on accelerometer-measured moderate-to-vigorous PA (MVPA) and sedentary time and self-reported PA, adjusting for covariates and clustering. Analyses were conducted in 2014-2015. LPAs yielded three profiles: low walkability/transit/recreation (L-L-L); mean walkability/transit/recreation (M-M-M); and high walkability/transit/recreation (H-H-H). Three PA outcomeswere more favorable in the HHH than the LLL profile group (difference of 7.2 min/day for MVPA, 97.8 min/week for walking for errands, and 79.2 min/week for walking for exercise; all ps < 0.02). The most and least activity-supportive BE profiles showed greater differences in older adults' PA than did groupings based solely on a 4-component walkability index, suggesting that diverse BE features are important for healthy aging. (C) 2016 Elsevier Inc. All rights reserved.

【 授权许可】

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