TY - JOUR
AU - Chalise, Nishesh
AB - across geographic space. Introduction Introduction Information on the relationship between diabetes prevalence and built environment attributes could allow public health programs to More than 25 million Americans have diabetes, and another 80 better target populations at risk for diabetes. This study sought to million have prediabetes; taken together, approximately 1 in 3 determine the spatial prevalence of diabetes in the United States Americans have diabetes or prediabetes (1). Diabetes is associated and how this distribution is associated with the geography of com- with obesity and physical inactivity; many built environment mon diabetes correlates. factors — attributes of the proximate environment — such as ac- cess to healthy foods (2), crime level (3), the rural–urban matrix Methods (4–6), and walking (4) are correlated with diabetes prevalence. Data from the Centers for Disease Control and Prevention and the One of the great challenges in understanding the associations US Census Bureau were integrated to perform geographically between built environment attributes and diabetes is that both weighted regression at the county level on the following variables: factors vary across the United States. Although studies of diabetes percentage nonwhite population, percentage Hispanic population, have found spatial variations in incidence and prevalence, there is education 
TI - Spatial Analysis and Correlates of County-Level Diabetes Prevalence, 2009–2010
JF - Preventing Chronic Disease
DO - 10.5888/pcd12.140404
DA - 2015-01-16
UR - https://www.deepdyve.com/lp/unpaywall/spatial-analysis-and-correlates-of-county-level-diabetes-prevalence-tbGd0cJIX5
DP - DeepDyve
ER -