Probabilistic walking models using built environment and sociodemographic predictors.

ABSTRACT:

Background

Individual sociodemographic and home neighborhood built environment (BE) factors influence the probability of engaging in health-enhancing levels of walking or moderate-to-vigorous physical activity (MVPA). Methods are needed to parsimoniously model the associations.

Methods

Participants included 2392 adults drawn from a community-based twin registry living in the Seattle region. Objective BE measures from four domains (regional context, neighborhood composition, destinations, transportation) were taken for neighborhood sizes of 833 and 1666 road network meters from home. Hosmer and Lemeshow's methods served to fit logistic regression models of walking and MVPA outcomes using sociodemographic and BE predictors. Backward elimination identified variables included in

SUBMITTER: Moudon AV 

PROVIDER: S-EPMC6547573 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature