Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Convergence analysis for geographic variations and risk factors in the prevalence of hyperlipidemia using measures of Korean Community Health Survey

지역사회건강조사 지표를 이용한 고지혈증 유병율의 지역 간 변이와 위험 요인의 융복합적 분석

  • Kim, Yoo-Mi (Dept. of Health Policy and Management, Sangji University) ;
  • Kang, Sung-Hong (Dept. of Health Policy and Management, Inje University)
  • Received : 2015.06.13
  • Accepted : 2015.08.20
  • Published : 2015.08.28
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Abstract

We investigate how the regional prevalence of hyperlipidemia is affected by health-related and socioeconomic factors with a special emphasis on geographic variations. We focus on the likelihood of hyperlipidemia as function of various region-specific attributes. We analysis a data set at the level of 249 small administrative districts collected from 2012 Korean Community Health Survey by Korea Centers for Disease Control and Prevention. To estimate, we use several methods including correlation analysis, multiple regression and decision tree model. We find that the average prevalence of hyperlipidemia in 249 small districts is 9.6% and its coefficient of variation is 28.3%. Prevalence of hyperlipidemia in continental and capital regions is higher than in southeast coastal regions. Further findings using decision tree model suggest that variations of hyperlipidemia prevalence between regions is more likely to be associated with rate of employee, level of stress, prevalence of hypertension, angina pectoris, and osteoarthritis in their regions.

본 연구는 고지혈증 유병률의 지역 간 변이 정도와 위험 요인을 규명하여 지역별 특성에 맞는 고지혈증 관리 사업을 지원하기 위한 기초자료를 제공하기 위해 수행되었다. 이를 위해 질병관리본부의 2012년도 시군구 지역사회건강조사 249건의 자료를 이용하여 단순 상관관계 분석, 단계적 회귀분석, 의사결정나무 등의 기법으로 분석하였다. 249개 시군구 지역의 고지혈증 유병률은 9.2%였고, 변동계수는 28.3%였다. 남동부 해안지역에 비해 수도권과 내륙지방의 고지혈증 유병률이 높았다. 의사결정나무 모형이 회귀모형에 비해 예측력이 좋았는데, 지역의 임금근로자 비율, 스트레스 인지율, 고혈압, 협심증, 관절염 유병률이 높은 지역일수록 고지혈증 유병률이 높은 것으로 나타났다. 따라서 사회 역학적 관점에서 지역사회의 개입이 가능한 지점을 중심으로 고지혈증 유병률을 감소시키기 위한 전략 마련이 필요하다.

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