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한국 성인의 건강행위실천 군집현상 및 관련요인

Clustering of Healthy Behaviors and Related Factors among 19-64 Aged Korean Adults

류소연|한미아|최성우|박종|신준호|구혜민
한국보건정보통계학회 (The Korean Society of Health informatics statistics)|2021.08|보건정보통계학회지 (Journal of Health Informatics and Statistics)|제46권 제3호|pp. 267-275

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참고문헌

키워드

Risk factorClusteringKorean adultsHealthy behavior

초록

Objectives: This study was performed to identify and find the clustering of healthy behaviors and the factors related to the clustering among Korean adults aged 19-64. Methods: The data of 9,519 Korean adults aged between 19 and 64 years who participated in the 6th Korea National Health and Nutrition Examination Survey were used as the analysis target. Following the recommendation of the Health Plan 2020 for health-promoting lifestyle, four variables, including nonsmoking, moderate drinking, sufficient physical activity, and healthy diet, were used in the study. The multinomial logistic regression analysis was performed to analyze the relationships among demographic characteristics, health-related characteristics, and clustering of healthy behaviors. Results: The significant elements of healthy behaviors clustering included sufficient physical activities for males, and non-smoking, moderate drinking, and healthy diet for females. Clustering healthy behaviors were higher for “females, the elderly, people with higher level of education, people with higher household income, people with diabetes, and people who perceive their subjective health status is good. Conclusions: In this study, the factors related to the clustering of healthy behaviors were identified. In order to spread the practice of healthy behaviors, multiple interventions are more effective than individual health behaviors.

Abstract

Objectives: This study was performed to identify and find the clustering of healthy behaviors and the factors related to the clustering among Korean adults aged 19-64. Methods: The data of 9,519 Korean adults aged between 19 and 64 years who participated in the 6th Korea National Health and Nutrition Examination Survey were used as the analysis target. Following the recommendation of the Health Plan 2020 for health-promoting lifestyle, four variables, including nonsmoking, moderate drinking, sufficient physical activity, and healthy diet, were used in the study. The multinomial logistic regression analysis was performed to analyze the relationships among demographic characteristics, health-related characteristics, and clustering of healthy behaviors. Results: The significant elements of healthy behaviors clustering included sufficient physical activities for males, and non-smoking, moderate drinking, and healthy diet for females. Clustering healthy behaviors were higher for “females, the elderly, people with higher level of education, people with higher household income, people with diabetes, and people who perceive their subjective health status is good. Conclusions: In this study, the factors related to the clustering of healthy behaviors were identified. In order to spread the practice of healthy behaviors, multiple interventions are more effective than individual health behaviors.

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