TY  - JOUR
PY  - 2016//
TI  - GIS-measured walkability, transit, and recreation environments in relation to older Adults' physical activity: a latent profile analysis
JO  - Preventive medicine
A1  - Todd, Michael
A1  - Adams, Marc A.
A1  - Kurka, Jonathan
A1  - Conway, Terry L.
A1  - Cain, Kelli L.
A1  - Buman, Matthew P.
A1  - Frank, Lawrence D.
A1  - Sallis, James F.
A1  - King, Abby C.
SP  - 57
EP  - 63
VL  - 93
IS  - 
N2  - 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 Geographical 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 66-97years, 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 outcomes were more favorable in the HHH than the LLL profile group (difference of 7.2min/day for MVPA, 97.8min/week for walking for errands, and 79.2min/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.<br><br>Copyright © 2016. Published by Elsevier Inc.<p />  <p>Language: en</p>
LA  - en
SN  - 0091-7435
UR  - http://dx.doi.org/10.1016/j.ypmed.2016.09.019
ID  - ref1
ER  -