Abstract

We sought to identify obesogenic elements of the neighborhood environment using 15 years of individual-level and GIS-derived data in the CARDIA cohort (n=5,115; aged 18-30 at year 0, 1985/86), and to test associations with 15-year BMI change. We first used reduced rank regression (RRR) to derive a weighted combination (factor score) of environmental variables that explained variability in obesity-promoting diet and physical activity (PA) behaviors. RRR outcome variables were diet quality, fast food consumption, and PA; predictors of these behaviors were neighborhood-level indicators of walkability, PA facilities, restaurants and food stores, food prices, cost of living, population density, and neighborhood SES. In our model, a high score reflected: 1) a greater number of fee-based PA facilities, 2) higher food prices, and 3) higher neighborhood SES. We next quantified the association between the factor score and BMI change, hypothesizing an inverse association. In repeated-measures linear regression (4 waves; n=16,343), we observed significant inverse associations between the time-varying environmental factor score and BMI increases, with larger increases among those younger at baseline (figure), adjusting for time-varying covariates. Using a novel application of RRR, we identified an obesogenic score of environmental components that explained variability in diet and PA behaviors and was associated with BMI change in CARDIA.

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