디지털융복합연구 (Journal of Digital Convergence)

  • 제12권8호
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  • Pages.397-410
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  • 2014
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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우리나라 성인의 건강행태군집 유형과 관련요인

Types of Health Behavior Clusters and Related Factors among Korean Adults

  • 문성미 (울산대학교 의과대학 간호학과)
  • Moon, Seongmi (Dept. of Nursing, College of Medicine, University of Ulsan)
  • 투고 : 2014.06.09
  • 심사 : 2014.08.20
  • 발행 : 2014.08.28
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초록

본 연구의 목적은 한국 성인의 건강행태군집 유형을 확인하고 이와 관련된 요인들을 파악하는 것이다. 이를 위해 2009년도 국민건강영양조사 자료를 이차분석 하였다. 신체활동, 흡연, 음주 변수를 이용하여 19세부터 64세까지 성인 대상자의 건강행태유형을 군집분석으로 파악하였고 이 유형들과 인구사회학적 특성 및 건강상태의 연관성을 확인하기 위해 SPSS WIN 21 복합표본설계 분석모듈을 이용하여 카이제곱 검정과 다항로지스틱 분석을 실시하였다. 한국 성인의 건강행태군집 유형은 건강증진군, 흡연군, 음주군, 수동적 태도군, 그리고 위험행위군의 총 5개 유형으로 분류되었고 수동적 태도군에 속하는 대상자의 빈도가 47.7%로 가장 높았다. 인구사회학적 특성, 고혈압, 그리고 우울증상 경험은 대상자가 건강증진군 보다는 나머지 4개의 건강위해 행위군에 속하는 것과 유의한 연관을 보이는 변수였다. 본 연구결과는 건강증진프로그램이 단일 행위에 초점을 맞추기 보다는 대상자의 건강행태유형에 초점을 맞추어 통합적으로 기획되어야 함을 보여주고 있다. 추후연구에서는 인구사회학적 특성과 건강상태뿐만 아니라 사회적 지지나 사회적 네트워크와 같은 사회심리적 요인과 건강행태유형과의 관계를 규명하는 것이 필요하다.

This study sought to identify types of health behavior clusters among Korean adults and their related factors. A secondary analysis of 1,441 subjects, aged 19 to 64, in the 2009 Korean National Health and Nutrition Examination Survey (KNHANES IV-3) was conducted. A cluster analysis was used to identify types of clusters related to physical activity, smoking, and alcohol drinking. A complex samples chi square test and multivariate logistic regression were performed to analyze the associations between types of health behavior clusters and sample's characteristics using SPSS WIN 21. Five clusters were identified: health promotion, smoking, alcohol drinking, passive attitude, and risky behavior. The passive attitude cluster had the most subjects, with 47.7% of subjects as members. Socio-demographic factors, hypertension, and depressive symptoms were associated with membership in the alcohol drinking, smoking, passive attitude, or risky behavior cluster rather than the health promotion cluster. The findings of this study suggest that integrated health promotion programs incorporating multiple strategies need to be investigated. In addition, further studies should explore psychosocial factors that affect health behavior clusters, such as stress, self-efficacy, social support, and social networks.

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