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

  • 제20권5호
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  • Pages.252-266
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  • 2019
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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한국 성인의 음주, 흡연, 운동 및 영양행태에 대한 군집별 특성 및 관련요인

Classification of Clusters, Characteristics and Related Factors according to Drinking, Smoking, Exercising and Nutrition among Korean Adults

  • 김꽃별 (충남대학교 간호대학 간호학과) ;
  • 은상준 (충남대학교 의과대학 예방의학교실)
  • 투고 : 2019.02.08
  • 심사 : 2019.05.03
  • 발행 : 2019.05.31
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초록

본 연구의 목적은 한국 성인의 건강행태군집 유형을 확인하고 이와 관련된 요인들을 파악하는 것이다. 이를 위해 2014년도 국민건강영양조사 자료를 이차분석 하였다. 음주, 흡연, 운동 및 영양 변수를 이용하여 19세 이상 성인을 대상으로 군집분석하였고, 이 유형들과 인구사회학적 특성 및 건강상태의 연관성을 확인하기 위해 SPSS WIN 22 복합표본 설계 모듈을 이용하여 카이제곱 검정과 다항로지스틱 분석을 실시하였다. 한국 성인의 건강행태군집 유형은 흡연군, 식습관군, 건강 관심군, 수동적 태도군 그리고 음주군의 총 6개 유형으로 분류되었고 수동적 태도군의 빈도가 26.0%로 가장 높았다. 건강행태 군집의 타당성을 검증하기 위해 분류된 군집과 건강행태변수를 이용해 판별분석한 결과 타당한 것으로 나타났다. 건강행태 군집은 성, 연령, 교육 수준, 직업, 소득 수준, 결혼 상태 및 지역 규모등 인구 사회학적 특성별로 분포가 달랐으며, 고혈압 및 당뇨와 같은 일부 만성질환의 유무별로도 다른 것으로 나타났다. 인구사회학적 특성, 지역, 고혈압 및 당뇨는 수동적 태도군 보다는 나머지 건강행태군집에 속하는 것과 유의한 연관을 보이는 변수였다. 본 연구 결과는 건강행태를 개별적으로 접근하기 보다는 군집으로 접근하는 것의 유용성에 대한 근거 자료로 활용할 수 있을 것이다.

The purpose of this study was to identify the type of health behaviors in Korean adults and to identify related factors. The data used in the analysis was the Korea Health and Nutrition Examination Survey 2014., which was representative of the Korean population. Cluster analysis was used to find the pattern of clustering of smoking, drinking, exercising and nutrition. Differences in the pattern of clustering was examined, first by bivariate chi-square test, and then by multinomial logit regression. Lastly, the association between the clusters of health behaviors and other behavioral risk factors was tested by chi-square test and logistic regression. The distribution of the clusters varied not only across socioeconomic characteristics and local size, but also between individuals with certain chronic diseases and those without. The results of this study can be used as a basis for the usefulness of approaching the cluster rather than individually approaching the health behavior.

키워드

Table 1. Characteristics of the study subjects

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Table 2. Selecting number of clusters based on Akaike Information Criterion (AIC)

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Table 3. Comparison between clusters

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Table 4. Discriminant analysis for Clusters

SHGSCZ_2019_v20n5_252_t0004.png 이미지

Table 5. Classification results for groups

SHGSCZ_2019_v20n5_252_t0005.png 이미지

Table 6. Comparison of demographic and social characteristics between groups

SHGSCZ_2019_v20n5_252_t0006.png 이미지

Table 7. Comparison of BMI and Subjective health state between groups

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Table 8. Comparison of chronic disease between groups

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Table 9. Factors effecting the classification of health-related behavior cluster

SHGSCZ_2019_v20n5_252_t0009.png 이미지

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