Health Policy Manag.  2017 Mar;27(1):47-55. 10.4332/KJHPA.2017.27.1.47.

The Effects of the Metabolic Syndrome on the Total Medical Charge

Affiliations
  • 1Department of Health Administration, Yonsei University Graduate School, Wonju, Korea.
  • 2National Health Insurance Service, Wonju, Korea.
  • 3Department of Health Administration, Yonsei University College of Health Sciences, Wonju, Korea. planters@yonsei.ac.kr

Abstract

BACKGROUND
This study purposed to analyze the effects of metabolic syndrome on the total medical charge of patients.
METHODS
2013 National Health Insurance Service sample research database (eligibility database, medical database, and health examination database) was used for this study. Gamma regression was applied to analyze the effects of metabolic syndrome on the total medical charge and logistic regression was used to determine the probability of medical charge which was higher than the third quartile. Sociodemographic characteristics (age and household income), health behavior factors (smoking, drinking, exercise, and body mass index), and disease related factors (family history and metabolic syndrome) were included as the independent variables.
RESULTS
people who had metabolic syndrome spent more medical expenses than those without metabolic syndrome both in man and woman group. The standard regression coefficient was 0.09 (p<0.001) in man with metabolic syndrome and 0.16 (p<0.001) in woman. In addition, woman with metabolic syndrome spent more than the third quartile of medical charge. The odds ratios was 1.04 (p=0.16) for man with metabolic syndrome and 1.18 (p=0.013) for woman.
CONCLUSION
people with metabolic syndrome spent more medical charge, so it will need to consider policy interventions for preventing the incidence and management of metabolic syndrome in Korean people.

Keyword

Metabolic syndrome; Medical charge; Korean adults; Gamma regression; Logistic regression

MeSH Terms

Drinking
Family Characteristics
Female
Health Behavior
Humans
Incidence
Logistic Models
National Health Programs
Odds Ratio
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