Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain.

ABSTRACT:

Objective

To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults.

Methods

Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variable

SUBMITTER: Buszkiewicz JH 

PROVIDER: S-EPMC8592117 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature