Patterns of Walkability, Transit, and Recreation Environment for Physical Activity.

ABSTRACT:

Introduction

Diverse combinations of built environment (BE) features for physical activity (PA) are understudied. This study explored whether patterns of GIS-derived BE features explained objective and self-reported PA, sedentary behavior, and BMI.

Methods

Neighborhood Quality of Life Study participants (N=2,199, aged 20-65 years, 48.2% female, 26% ethnic minority) were sampled in 2001-2005 from Seattle / King County WA and Baltimore MD / Washington DC regions. Their addresses were geocoded to compute net residential density, land use mix, retail floor area ratio, intersection density, public transit, and public park and private recreation facility densities using a 1-km network buffer. Latent profile analyses (LPAs) were estimated from these variables. Multilevel regression

SUBMITTER: Adams MA 

PROVIDER: S-EPMC4523897 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature