JSM 2005 - Toronto

Abstract #304726

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 521
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #304726
Title: Spatial Modeling of Relationships between Measures of Urban Form, Socioeconomic Deprivation, and Chronic Disease Mortality: A Comparative Analysis
Author(s): Gerald Shoultz*+
Companies: National Center for Health Statistics
Address: ASPH/CDC Fellow, Takoma Park, MD, 20912, United States
Keywords: Mortality ; socioeconomic deprivation ; urban form ; spatial modeling ; bayesian modeling
Abstract:

Previous research indicates statistical relationships between area-wide indices of socioeconomic deprivation and chronic disease mortality. Recent studies also indicate a relationship between measures of urban form and obesity, itself an indicator of cardiovascular disease mortality. In this study, composite measures of socioeconomic deprivation and of urban form are presented for 3,137 counties in the United States. These measures are used in a Bayesian spatial model to determine if there is a relationship between such measures and cardiovascular disease mortality and all-cause mortality for white males age 35 and older for the time period 1999--2001. Statistical issues related to the models are compared and contrasted. Maps of relative risk of mortality due to various components of the model are developed and spatial patterns are related both to individual variables and to the model as a whole. Potential implications of the study for both the modeling of mortality and the enhancement of public health are discussed.

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Revised March 2005