Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea.

ABSTRACT: Geographical variations and influential factors of disease prevalence are crucial information enabling optimal allocation of limited medical resources and prioritization of appropriate treatments for each regional unit. The purpose of this study was to explore the geographical variations and influential factors of cardiometabolic disease prevalence with respect to 230 administrative districts in South Korea. Global Moran's I was calculated to determine whether the standardized prevalences of cardiometabolic diseases (hypertension, stroke, and diabetes mellitus) were spatially clustered. The CART algorithm was then applied to generate decision tree models that could extract the diseases' regional influential factors from among 101 demographic, economic, and public health data variables. Fin

SUBMITTER: Oh WS 

PROVIDER: S-EPMC6168158 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature