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http://dx.doi.org/10.5762/KAIS.2018.19.2.561

A Study on Variation and Application of Metabolic Syndrome Prevalence using Geographically Weighted Regression  

Suhn, Mi Ohk (Department of U-Health Services Administration, Yuhan University)
Kang, Sung Hong (Department of Health Policy and management, Inje University)
Chun, Jin-Ho (Department of Preventive Medicine, College of Medicine, Inje University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.2, 2018 , pp. 561-574 More about this Journal
Abstract
In this study, regional variations and factors associated with prevalence of metabolic syndrome were grasped using GWR (geographically weighted regression) and methodologies for the efficient management of metabolic syndrome were then set up to resolve health inequalities. Based on the National Health Screening Statistical Yearbook published by the National Health Insurance Service (NHIS), community health survey (KCDC) and other governmental institutions, indicators of social structural and mediation factors related to the regional prevalence of metabolic syndrome were collected. First, the existence of indicators to measure variations in metabolic syndrome were confirmed with the collected data by calculating the EQ (extremal quotient) and CV (coefficient of variations). The GWR, which is able to take spatial variations into consideration, was then adopted to analyze the factors of regional variations in metabolic syndrome. The GWR analysis revealed that severity and management of the main causes need to be prioritized in accordance with the prevalence of metabolic syndrome. Consequently, the order of priority in management of regional prevalence of metabolic syndrome was established, and plans that can increase the effectiveness of management of metabolic syndrome were confirmed to be feasible.
Keywords
Geographically weighted regression; Healthcare management; Metabolic syndrome; Regional variation; Simulation;
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