High Level Physical Activity and Prevalence of Cardiovascular Disease Using the Korea National Health and Nutrition Examination Survey Data, 2007-2013
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Objectives: The purpose of our study was to evaluate the association between the intensity of physical activity (PA) and prevalence of cardiovascular disease (CVD) using Korean representative data. Methods: We analyzed 39 804 participant data from the Korea National Health and Nutrition Examination Survey, 2007-2013. Exposure variable was three levels of PA (low, medium, and high) in a week, and outcome variable was prevalence of CVD based on patient self-recognition and doctor’s diagnosis. Complex logistic regression analysis was performed to evaluate the relationship between level of PA and CVD adjusted by body mass index, hypertension, hypercholesterolemia, diabetes mellitus, stress recognition, household income, smoking, and current drinking. The indices of association w ere estimated as crude prevalence odds ratio (POR), adjusted POR, and their 95% confidence interval (CI). All statistical analyzes were performed using complex sample analysis procedure of the SPSS version 23.0. Results: When all variables were adjusted, only high level PA in women showed a significant association with stroke (adjusted POR by patient’s self-recognition, 0.57; 95% CI, 0.32 to 0.99, adjusted POR by doctor’s diagnosis, 0.55; 95% CI, 0.34 to 0.87) and CVD (adjusted POR by doctor’s diagnosis, 0.68; 95% CI, 0.48 to 0.96). Conclusions: High level PA in women has a significant reverse association with prevalence of stroke and CVD in Korea. Further study for elucidating the mechanism will be needed.
Abstract
Objectives: The purpose of our study was to evaluate the association between the intensity of physical activity (PA) and prevalence of cardiovascular disease (CVD) using Korean representative data. Methods: We analyzed 39 804 participant data from the Korea National Health and Nutrition Examination Survey, 2007-2013. Exposure variable was three levels of PA (low, medium, and high) in a week, and outcome variable was prevalence of CVD based on patient self-recognition and doctor’s diagnosis. Complex logistic regression analysis was performed to evaluate the relationship between level of PA and CVD adjusted by body mass index, hypertension, hypercholesterolemia, diabetes mellitus, stress recognition, household income, smoking, and current drinking. The indices of association w ere estimated as crude prevalence odds ratio (POR), adjusted POR, and their 95% confidence interval (CI). All statistical analyzes were performed using complex sample analysis procedure of the SPSS version 23.0. Results: When all variables were adjusted, only high level PA in women showed a significant association with stroke (adjusted POR by patient’s self-recognition, 0.57; 95% CI, 0.32 to 0.99, adjusted POR by doctor’s diagnosis, 0.55; 95% CI, 0.34 to 0.87) and CVD (adjusted POR by doctor’s diagnosis, 0.68; 95% CI, 0.48 to 0.96). Conclusions: High level PA in women has a significant reverse association with prevalence of stroke and CVD in Korea. Further study for elucidating the mechanism will be needed.
참고문헌 (35)
- "Cardiovascular diseases"[URL]
- "What is cardiovascular disease?"[URL]
- "The top 10 causes of death"[URL]
- "Cardiovascular diseases (CVDs)-fact sheet"[URL]
- "Mortality rate by cause of death"[URL]
- Ahn KA, "Framingham equation model overestimates risk of ischemic heart disease in Korean men and women", Korean J Epidemiol, 28(2), pp.162~170 (2006)
- D’Agostino RB Sr, "General cardiovascular risk profile for use in primary care: the Framingham Heart Study", Circulation, 117(6), pp.743~753 (2008)
- Hajar R, "Framingham contribution to cardiovascular disease", Heart Views, 17(2), pp.78~81 (2016)
- Fitzgerald JD, "Association of objectively measured physical activity with cardiovascular risk in mobility-limited older adults", J Am Heart Assoc, 4(2), pp.e001288~ (2015)
- Andersson C, "Physical activity measured by accelerometry and its associations with cardiac structure and vascular function in young and middle-aged adults", J Am Heart Assoc, 4(3), pp.e001528~ (2015)
- García-Ortiz L, "Relationship between objectively measured physical activity and cardiovascular aging in the general population--the EVIDENT trial", Atherosclerosis, 233(2), pp.434~440 (2014)
- Setayeshgar S, "Prevalence of 10-year risk of cardiovascular diseases and associated risks in canadian adults: the contribution of cardiometabolic risk assessment introduction", Int J Hypertens, 2013, pp.276564~ (2013)
- Soares TS, "Alimentary habits, physical activity, and Framingham global risk score in metabolic syndrome", Arq Bras Cardiol, 102(4), pp.374~382 (2014)
- Soares-Miranda L, "Physical activity and risk of coronary heart disease and stroke in older adults: the cardiovascular health study", Circulation, 133(2), pp.147~155 (2016)
- Yates T, "Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis", Lancet, 383(9922), pp.1059~1066 (2014)
- Cheng X, "Physical activity levels, sport activities, and risk of acute myocardial infarction: results of the INTERHEART study in China", Angiology, 65(2), pp.113~121 (2014)
- Wang N, "Associations of Tai Chi, walking, and jogging with mortality in Chinese men", Am J Epidemiol, 178(5), pp.791~796 (2013)
- Hu G, "The joint associations of occupational, commuting, and leisure-time physical activity, and the Framingham risk score on the 10-year risk of coronary heart disease", Eur Heart J, 28(4), pp.492~498 (2007)
- Folsom AR, "Physical activity and incidence of coronary heart disease in middle-aged women and men", Med Sci Sports Exerc, 29(7), pp.901~909 (1997)
- Kweon S, "Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES)", Int J Epidemiol, 43(1), pp.69~77 (2014)
- "Statistical database"[URL]
- 김완수, "국민건강영양조사 신체활동 설문 문항 비교", 보건교육건강증진학회지, 29(3), pp.23~34 (2012), 한국보건교육건강증진학회
- "Walking practice rate"[URL]
- "Moderate to vigorous: what is your level of intensity?"[URL]
- "Understand your risks to prevent a heart attack"[URL]
- Merz AA, "Sex differences in cardiovascular ageing", Heart, 102(11), pp.825~831 (2016)
- Mosca L, "Sex", gender differences in cardiovascular disease prevention: what a difference a decade makes, 2011, pp.124(19), 2145~2154
- 김지영, "Cardiovascular Health Metrics and All-cause and Cardiovascular Disease Mortality Among Middle-aged Men in Korea: The Seoul Male Cohort Study", 예방의학회지, 46(6), pp.319~328 (2013), 대한예방의학회
- 박민선, "Physical Activity and Physical Fitness as Predictors of All-Cause Mortality in Korean Men", Journal of Korean Medical Science, 24(1), pp.13~19 (2009), 대한의학회
- Wahid A, "Quantifying the association between physical activity and cardiovascular disease and diabetes: a systematic review and meta-analysis", J Am Heart Assoc, 5(9), pp.e002495~ (2016)
- Li J, "Physical activity and risk of cardiovascular disease--a meta-analysis of prospective cohort studies", Int J Environ Res Public Health, 9(2), pp.391~407 (2012)
- Nocon M, "Association of physical activity with all-cause and cardiovascular mortality: a systematic review and meta-analysis", Eur J Cardiovasc Prev Rehabil, 15(3), pp.239~246 (2008)
- Myers J, "Cardiology patient pages. Exercise and cardiovascular health", Circulation, 107(1), pp.e2~e5 (2003)
- Parker BA, "Evidence for sex differences in cardiovascular aging and adaptive responses to physical activity", Eur J Appl Physiol, 110(2), pp.235~246 (2010)
- Heeran Chun, "Accuracy of Self-reported Hypertension, Diabetes, and Hypercholesterolemia: Analysis of a Representative Sample of Korean Older Adults", Osong Public Health and Research Persptectives, 7(2), pp.108~115 (2016), 질병관리본부