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- W5220349 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." @default.
- W5220349 created "2016-06-24" @default.
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- W5220349 date "2013-03-26" @default.
- W5220349 modified "2023-10-01" @default.
- W5220349 title "Abstract P298: An Obesogenic Neighborhood Environment Factor Score and Changes in BMI in the Coronary Artery Risk Development in Young Adults (CARDIA) Study" @default.
- W5220349 doi "https://doi.org/10.1161/circ.127.suppl_12.ap298" @default.
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