A decision tree-based approach for identifying urban-rural differences in metabolic syndrome risk factors in the adult Korean population.

Abstract

Although no significant difference was found for the prevalence of MetS between the two populations, the differences in the clustering pattern of MetS components in urban and rural districts in Korea were identified by decision tree analysis. Our findings may serve as a basis to design necessary population-based intervention programs for prevention and progression of MetS and its complications in Korea.