Spatial Clusters of County-Level Diagnosed Diabetes and Associated Risk Factors in the United States

Autor: Lawrence E. Barker, Edward W. Gregg, Sundar S. Shrestha, Karen A. Kirtland, Theodore J. Thompson, Linda S. Geiss
Rok vydání: 2012
Předmět:
Zdroj: The Open Diabetes Journal. 5:29-37
ISSN: 1876-5246
Popis: Introduction: We examined whether spatial clusters of county-level diagnosed diabetes prevalence exist in the United States and whether socioeconomic and diabetes risk factors were associated with these clusters. Materials and Methods: We used estimated county-level age-adjusted data on diagnosed diabetes prevalence for adults in 3109 counties in the United States (2007 data). We identified four types of diabetes clusters based on spatial autocorrelations: high-prevalence counties with high-prevalence neighbors (High-High), low-prevalence counties with low-prevalence neighbors (Low-Low), low-prevalence counties with high-prevalence neighbors (Low-High), and high- prevalence counties with low-prevalence neighbors (High-Low). We then estimated relative risks for clusters being associated with several socioeconomic and diabetesrisk factors. Results: Diabetes prevalence in 1551 counties was spatially associated (p
Databáze: OpenAIRE