Objective: The study objective was to determine the prevalence of diabetes and prediabetes among rural and urban populations in Kansas.
Research design and methods: 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.
Results: 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.
Conclusions: 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.