성인의 만성질환 관련 건강위험행태요인 군집현상 분석
Clustering of health risk behaviors for chronic diseases in Korean adults
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초록
Objectives: The purpose of this study was to identify the clusters of health risk factors for chronic diseases in Korean adults. Methods: We analyzed 123,300 cases of participants who received health checkups at Korea Association of Health Promotion in 2015. Three health risk behaviors-current smoking, binge drinking and physical inactivity-were analyzed by chi-square test, observed frequency/expected prevalence, and multiple logistic regression analysis. Results: Odds ratios of all clusters of health risk behaviors in males were significant, and females showed strong association with current smoking and binge drinking regardless of physical inactivity. It is more likely to have more than two health risk factors to men, 30s and 40s, overweight and obesity, those who have metabolic syndrome, and those with no history of hypertension, diabetes, or hyperlipidemia. Conclusions: Lifestyle and health risk behavior interventions should be developed by strategies based on the characteristics of the participants as well as gender, and should be developed considering the combinations of health risk behaviors.
Abstract
Objectives: The purpose of this study was to identify the clusters of health risk factors for chronic diseases in Korean adults. Methods: We analyzed 123,300 cases of participants who received health checkups at Korea Association of Health Promotion in 2015. Three health risk behaviors-current smoking, binge drinking and physical inactivity-were analyzed by chi-square test, observed frequency/expected prevalence, and multiple logistic regression analysis. Results: Odds ratios of all clusters of health risk behaviors in males were significant, and females showed strong association with current smoking and binge drinking regardless of physical inactivity. It is more likely to have more than two health risk factors to men, 30s and 40s, overweight and obesity, those who have metabolic syndrome, and those with no history of hypertension, diabetes, or hyperlipidemia. Conclusions: Lifestyle and health risk behavior interventions should be developed by strategies based on the characteristics of the participants as well as gender, and should be developed considering the combinations of health risk behaviors.
참고문헌 (46)
- Atkins, D., "Multiple risk factors interventions:Are we up to the challenge?", American Journal of Preventive Medicine, 27(2), pp.102~103 (2004)
- Australian Institute of Health and Welfare, "Australia’s health 2008" (2008), Australian Institute of Health and Welfare
- Benjamin, E. J., "Heart disease and stroke statistics—2017 update: a report from the American Heart Association", Circulation, 135(10), pp.e146~e603 (2017)
- Chiolero, A., "Clustering of risk behaviors with cigarette consumption : a population-based survey", Preventive Medicine, 42(5), pp.348~353 (2006)
- Chou, K. L., "The prevalence and clustering of four major lifestyle risk factors in Hong Kong Chinese older adults", Journal of Aging and Health, 20(7), pp.788~803 (2008)
- Costa, E., "Clustering of behavioural risk factors in the Portuguese population : data from National Health Interview Survey", Journal of Behavioral Health, 3(4), pp.205~211 (2014)
- Danaei, G., "The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors", PLoS medicine, 6(4), pp.e1000058~ (2009)
- Dodd, L. J., "Lifestyle risk factors of students : a cluster analytical approach", Preventive Medicine, 51(1), pp.73~77 (2010)
- Expert Panel on Detection, E., "Executive summary of the Third report of the national cholesterol education program(NCEP)expert panel on detection, evaluation, and treatment of high blood cholesterol in adults(Adult Treatment Panel III)", Jama, 285(19), pp.2486~ (2001)
- Graham, H., "Multiple health behaviours among mothers and partners in England : Clustering, social patterning and intra-couple concordance", SSM-Population Health, 2, pp.824~833 (2016)
- Ha, S., "Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome", PloS one, 12(3), pp.e0174567~ (2017)
- 황종문, "신체활동, 흡연, 음주에 따른 한국성인의 건강행동 집단분류와 정신건강과의 관계", 한국웰니스학회, 11(4), pp.369~379 (2016), 한국웰니스학회[DOI]
- Janet Yewon Jeon, "Clustering Patterns and Correlates of Multiple Health Behaviors in Middle-aged Koreans with Metabolic Syndrome", 보건교육건강증진학회지, 29(2), pp.93~105 (2012), 한국보건교육건강증진학회
- Jung, Y. H., "Multiple health risk factors and network analysis of chronic diseases", Health and Welfare Issue & Focus, 254, pp.2014~2033 (2014), Korea Institute for Health and Social Affairs
- A study on the effective chronic disease management, "Jung, Y. H.", Korea Institute for Health and Social Affairs, ~ (2013)
- Identification of the relationship between Korean lifestyle and metabolic syndrome, development of personalized preventive program, and analysis of support effect, "Ji, S. H.", Yonsei University ・Expert Working Group for Seoul Metropolitan Government on Health Promotion, ~ (2006)
- 강은정, "흡연, 음주, 신체활동을 사용한 한국 성인의 건강행태 군집의 분류", 보건사회연구, 27(2), pp.44~66 (2007), 한국보건사회연구원
- 강기원, "흡연, 음주와 운동습관의 군집현상을 통한 건강행태의 고위험군: 국민건강영양 조사", 예방의학회지, 43(1), pp.73~83 (2010), 대한예방의학회
- Socioeconomic, behavioral, nutritional, and biological determinants of mortality in South Korea: analysis of Korea national health and nutrition examination survey(K-NHANES) linked data, "Kim, H. R.", South Korea: Korea Institute for Health and Social Affairs, ~ (2014)
- 김미경, "대사증후군", 대한의사협회지, 55(10), pp.1005~1013 (2012), 대한의사협회[DOI]
- 대한내분비학회, "비만치료지침 2010 권고안", Endocrinology and Metabolism, 25(4), pp.301~304 (2010), 대한내분비학회
- 이중정, "도시 영세지역 및 농촌지역 성인들의생활습관 위험요인 군집 현상", 보건교육건강증진학회지, 22(4), pp.167~177 (2005), 한국보건교육건강증진학회
- Lee, S. Y., "Development of a sustainable health management system for management of chronic diseases", Health and Social Welfare Forum, 87(1), pp.72~81 (2004)
- Lee, Y. H., "Clustering of multiple healthy lifestyles among older Korean adults living in the community", Geriatrics & Gerontology International, 12(3), pp.515~523 (2012)
- Li, Y., "Co-variations and clustering of chronic disease behavioral risk factors in China:China Chronic Disease and Risk Factor Surveillance, 2007", PloS one, 7(3), pp.e33881~ (2012)
- Linardakis M., "Relationship of behavioral risk factors for chronic diseases and preventive health services utilization among adults, aged 50+, from eleven European countries", Journal of Public Health, 23, pp.257~265 (2015)
- Martin-Diener, E., "The combined effect on survival of four main behavioural risk factors for non-communicable diseases", Preventive medicine, 65, pp.148~152 (2014)
- Korea health statistics 2015: Korea national health and nutrition examination survey (KNHANES VI-3), "Ministry of Health and Welfare", Korea Centers for Disease Control and Prevention, ~ (2016)
- 문성미, "우리나라 성인의 건강행태군집 유형과 관련요인", 디지털융복합연구, 12(8), pp.397~410 (2014), 한국디지털정책학회[DOI]
- Morris, L. J., "Concurrent lifestyle risk factors : Clusters and determinants in an Australian sample", Preventive Medicine, 84, pp.1~5 (2016)
- National Cholesterol Education Program, "National Heart, Lung and Blood Institute. Third of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults(Adults Treatment Panel Ⅲ)", National Institute of Health., 2002
- Nigg, C. R., "Theory-comparison and multiple behavior research : common themes advancing health behavior research", Health Education Research, 17(5), pp.670~679 (2002)
- Noble, N., "Which modifiable health risk behaviours are related? A systematic review of the clustering of smoking, nutrition, alcohol and physical activity(‘SNAP’)health risk factors", Preventive Medicine, 81, pp.16~41 (2015)
- 박영신, "성별에 따른 한국 중고령자의 건강 생활양식의 군집현상 및 우울감과의 관계", 보건교육건강증진학회지, 33(1), pp.1~12 (2016), 한국보건교육건강증진학회[DOI]
- Poortinga, W., "The prevalence and clustering of four major lifestyle risk factors in an English adult population", Preventive Medicine, 44(2), pp.124~128 (2007)
- Pronk, N. P., "Meeting recommendations for multiple healthy lifestyle factors : prevalence, clustering, and predictors among adolescent, adult, and senior health plan members", American Journal of Preventive Medicine, 27(2), pp.25~33 (2004)
- Satre, D. D., "Alcohol consumption, medical conditions and health behavior in older adults", American Journal of Health Behavior, 31, pp.238~248 (2007)
- Schuit, A. J., "Clustering of lifestyle risk factors in a general adult population", Preventive Medicine, 35(3), pp.219~224 (2002)
- Seo, S. R., "Introduction of global action plan 2013-2020 on noncommunicable disease prevention and control. Public Health Weekly Report", Korea Centers for Disease Control &Prevention, 7(28), pp.606~608 (2014)
- Shankar, A., "Health-related behaviors in older adults : relationships with socioeconomic status", American journal of preventive medicine, 38(1), pp.39~46 (2010)
- Silva, D. A., "Clustering of risk behaviors for chronic noncommunicable diseases : a population-based study in southern Brazil", Preventive medicine, 56(1), pp.20~24 (2013)
- "Death from noncommunicable diseases, 2010-2015" (2015)[URL]
- World Health Organization, "Global action plan for the prevention and control of noncommunicable diseases 2013-2020" (2013), WHO Press
- Obesity: preventing and managing the global epidemic (No. 894), "World Health Organization.", World Health Organization, ~ (2000)
- Zaman, M. M., "Clustering of non-communicable diseases risk factors in Bangladeshi adults : an analysis of STEPS survey 2013", BMC Public Health, 15(1), pp.659~ (2015)
- Zwolinsky, S., "Prevalence, co-occurrence and clustering of lifestyle risk factors among UK men", Journal of Mens Health, 12(2), pp.15~24 (2017)
