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http://dx.doi.org/10.3961/jpmph.2013.46.6.319

Cardiovascular Health Metrics and All-cause and Cardiovascular Disease Mortality Among Middle-aged Men in Korea: The Seoul Male Cohort Study  

Kim, Ji Young (Department of Preventive Medicine, Seoul National University College of Medicine)
Ko, Young-Jin (Department of Preventive Medicine, Seoul National University College of Medicine)
Rhee, Chul Woo (Department of Preventive Medicine, Seoul National University College of Medicine)
Park, Byung-Joo (Department of Preventive Medicine, Seoul National University College of Medicine)
Kim, Dong-Hyun (Department of Social Medicine, Hallym University College of Medicine)
Bae, Jong-Myon (Department of Preventive Medicine, Cheju National University College of Medicine)
Shin, Myung-Hee (Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine)
Lee, Moo-Song (Department of Preventive Medicine, Ulsan University College of Medicine)
Li, Zhong Min (Department of Epidemiology and Statistics, School of Public Health Sciences, Jilin University)
Ahn, Yoon-Ok (Department of Preventive Medicine, Seoul National University College of Medicine)
Publication Information
Journal of Preventive Medicine and Public Health / v.46, no.6, 2013 , pp. 319-328 More about this Journal
Abstract
Objectives: This study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea. Methods: In total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics. Results: There were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality. Conclusions: Among cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.
Keywords
Cardiovascular diseases; Cohort studies; Cox proportional hazards models; Life style; Mortality;
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