Prevalence of diabetes and pre-diabetes in Kansas

The study objective was to determine the prevalence of diabetes and prediabetes among rural and urban populations in Kansas.

This study utilized 2009 BRFSS data and included 18,912 respondents. Participants were identified through a stratified random sample of adult Kansans, living in a non-institutionalized setting, and with access to a land-based telephone line. Analyses were conducted using SAS to provide descriptive statistics for groups based on diabetes status. A logistic regression was conducted to explore significant variables associated with the likelihood of diabetes.

Diabetes prevalence was lower among urban (11.8%) populations than rural (12.7%) areas of Kansas, but the inverse was true for pre-diabetes (3.7% urban, 3.1% in rural). Lower income and lower levels of educational attainment were associated with increased rates of diabetes and pre-diabetes, with the highest prevalence levels overall found among rural Latinos (19.3%) and urban African Americans (22.9%). Multivariate regression suggests that age, income, ethnicity, education, sex, rural vs urban status, and race all served as significant predicators of diabetes, net of other factors.

Rural residents were more likely than urban residents to report having diabetes, whereas urban residents were more likely than rural residents to report having pre-diabetes. Although rural vs urban status played a significant role in the model's predicative ability for diabetes and pre-diabetes diagnosis, increased age was by far the most significant factor in diabetes and pre-diabetes diagnosis.