Since the factors behind the prevalence of diabetes differ from region to region, climate to climate and local culture and food habits, the treatment should be based on the local factors, said a study.
“In one region of the US, poverty and lower education outcomes are more predictive of higher diabetes prevalence, and in other regions, physical inactivity and obesity are more predictive,” said lead author J. Aaron Hipp, assistant professor from Washington University’s Brown School in the US.
Hipp and co-author Nishesh Chalise based their analysis on the data provided by the US Census Bureau and the Centres for Disease Control and Prevention to find attributes associated with diabetes.
As the researchers found varying results from the study depending on region, poverty levels and inactivity, which caused diabetes. The percentage of the population cycling or walking to work has shown lower prevalence of diabetes in most counties, though not in some rural areas of Minnesota, North Dakota and South Dakota.
“Given this clustering of predictors of diabetes prevalence, and knowing the effect of the predictors we used in our study, counties, states and regions should be able to better target the most common predictors of diabetes in their more local area,” Hipp added.
The study has been published in journal Preventing Chronic Disease.