January 30, 2020 Webinar
Trends in the tract-level prevalence of obesity in Philadelphia by race, space, and time
Harrison Quick, PhD
Abstract:
The growing recognition of often substantial neighborhood variation in health within cities has motivated greater demand for reliable data on small-scale variations in health outcomes. The goal of this work is to explore temporal changes in geographic disparities in obesity prevalence in the City of Philadelphia by race and sex over the period 2000-2015. Our data consist of self-reported survey responses of non-Hispanic whites, non-Hispanic blacks, and Hispanics from the Southeastern Pennsylvania Household Health Survey. To analyze these data – and to obtain more reliable estimates of the prevalence of obesity – we apply a Bayesian model that simultaneously accounts for spatial-, temporal-, and between-race/ethnicity dependence structures. This approach yields estimates of the obesity prevalence by age, race/ethnicity, sex, and poverty status for each census tract at all time-points in our study period. While the data suggest that the prevalence of obesity has increased at the city-level for men and women of all three race/ethnicities, the magnitude and geographic distribution of these increases differ substantially by race/ethnicity and sex. The method can be flexibly used to describe and visualize spatial heterogeneities in levels, trends, and in disparities. This is useful for targeting, surveillance, and etiologic research.
Short Bio:
Dr. Quick is an Assistant Professor of Biostatistics in the Department of Epidemiology and Biostatistics at Drexel University. The majority of his research is related to the development of Bayesian methods for spatial and spatiotemporal data analysis. In addition, Dr. Quick has conducted research in the fields of data confidentiality, spatial epidemiology, and the application of Bayesian methods for environmental health and occupational exposure assessment.