Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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A Latent Class Analysis and Predictors of Chronic Diseases -Based on 2014 Korea National Health and Nutrition Examination Survey-

만성질환에 관한 잠재계층분석과 예측요인 -2014 국민건강영양조사를 중심으로-

  • Kim, Woo-Jin (Department of Health & Human Performance, University of Texas Rio Grande Valley) ;
  • Lee, Song-Yi (Dharma College, Dongguk University)
  • 김우진 (텍사스 주립대학교 체육학) ;
  • 이송이 (동국대학교 다르마칼리지)
  • Received : 2018.03.13
  • Accepted : 2018.06.01
  • Published : 2018.06.30
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Abstract

The aim of this study was to investigate the latent classes and predictors of chronic diseases such as hypertension, dyslipidemia, arthritis, thyroid disease, depression, atopy, allergy, and diabetes. The subjects of this study were Korean citizens who participated in the Korea National Health and Nutrition Examination Survey in 2014. Stratified cluster sampling method was used with a sample size of 7,550. Latent hierarchy analysis was applied to this data. Four classes were identified. Class 1 consisted of participants with hypertension and diabetes. Class 2 consisted of participants with atopy and allergies. Class 3 consisted of participants with dyslipidemia, arthritis, thyroid disease, and depression. Class 4 consisted of participants without any chronic diseases. In comparing Class 1 to Class 4, age, physical activity, self-management, obesity, and presence of high cholesterol were found to be significant. In comparing Class 2 to Class 4, gender, age, and education level were significant. When Class 3 was compared to Class 4, gender, age, pain and discomfort, as well as high cholesterol were found to be significant. Diabetes and hypertension should be treated as comorbid conditions, applying integrated treatments involving effective drug treatment, diet, and physical activity programs. Atopy was found to be strongly correlated with allergies. Thyroid disease was found to coexist with dyslipidemia and arthritis, along with having a strong correlation to depression. Age-appropriate preventive measures can help reduce the risk of chronic diseases.

본 연구의 목적은 만성질환인 고혈압, 이상지질혈증, 관절염, 갑상선 질환, 우울증, 아토피, 알레르기, 당뇨병 등의 잠재계층이 어떻게 구성되어 있는지와 유형화된 만성질환의 예측요인을 살펴보고자 하는 것이다. 연구대상은 2014년 국민건강영양조사에 참여한 대한민국 국민으로, 표본추출방법은 층화집락표본추출방법을 사용하였으며 표본 수는 총 7,550명이고, 이를 대상으로 잠재계층분석을 적용하였다. 결과적으로 1 class 유형은 고혈압, 당뇨 그룹으로 고혈압을 앓고 있을 확률이 78.6%이고 당뇨병을 앓고 있을 확률이 34.6%이었다. 2 class 유형은 아토피, 알레르기 그룹으로 아토피를 앓고 있을 확률이 20.3%이고 알레르기를 앓고 있을 확률이 42.2%이었다. 3 class 유형은 이상지질, 관절염, 갑상선질환, 우울증 그룹으로 이상지질 56.1%, 관절염 50.9%, 갑상선 질환 19.4%, 우울증 28.75%로 나타날 확률을 지닌 집단이었다. 4 class 유형은 만성질환을 갖고 있지 않은 정상집단으로 나타났다. 준거변수인 4 class와 1 class를 비교하였을 때, 연령, 운동능력, 자기관리, 비만, 고콜레스테롤 유병여부 등이 유의하게 나타났고, 2 class와 비교하였을 때, 성별, 연령, 교육수준 등이 유의하게 나타났으며, 3 class와 비교하였을 때, 성별, 연령, 통증 및 불편, 고 콜레스테롤 등이 유의하게 나타났다. 결과적으로 세 유형 모두 연령은 복합적인 만성질환을 일으킬 수 있는 요인으로 나타났는데, 이는 질환을 일으킬 수 있는 결정적인 시기가 오기 전에 예방이 중요하다는 것을 의미한다. 따라서 연령에 따른 질병의 유병율 발생 시기를 파악하여 이에 적절한 예방적 노력이 필요하다.

Keywords

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