期刊论文详细信息
Clinical Hypertension
The relationship between visit-to-visit variability in blood pressure and incidence of metabolic syndrome: a general population-based cohort study in Korea
Hwan-Cheol Park1  Jin-Kyu Park1  Young-Hyo Lim1  Jinho Shin1  June Namgung2  Hyung Tak Lee3 
[1]0000 0001 1364 9317, grid.49606.3d, Division of Cardiology, Departments of Internal Medicine, Hanyang University, College of Medicine, 222 Wangsimni-ro Sungdong-gu, 133-792, Seoul, Republic of Korea
[2]0000 0004 0371 8173, grid.411633.2, Division of Cardiology, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
[3]Departments of Internal Medicine, Gumdan Top General Hospital, Incheon, Republic of Korea
关键词: Metabolic syndrome;    Visit-to-visit variability;    Blood pressure3;   
DOI  :  10.1186/s40885-019-0117-9
来源: publisher
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【 摘 要 】
BackgroundPrevious studies demonstrated that visit-to-visit variability of blood pressure (BP) has significant relationship with cardiovascular disease. Visit-to-visit variability in BP might have prognostic value for cardiovascular disease. The aim of this study is to evaluate the effect of visit-to-visit variability in BP on development of metabolic syndrome in general population without cardiovascular disease, diabetes mellitus, metabolic syndrome, and BP medication.MethodWe used data from the Korean Genome Epidemiology Study conducted by the Korean Centers for Disease Control and Prevention. All cohorts who were followed first 3 periods formed the basis of the study sample, which consisted of 7195 people. Of these samples, 3431 subjects who had cardiovascular disease, diabetes mellitus, or metabolic syndrome were excluded, and 312 subjects who were using antihypertensive medication in first 3 periods were excluded. Our final study sample consisted of 3452 cohorts.ResultsThe mean age was 53.5 (8.25) years. The proportion of male was 50.2%. Average follow-up duration was 5.91 (0.17) years. In generalized estimating equation, the development of metabolic syndrome was associated with mean systolic BP (SBP) (Odd ratio (OR) 1.042, 95% confidence interval (CI) 1.035–1.048, p < 0.001), mean diastolic BP (DBP) (OR 1.058, 95% CI 1.049–1.069, p < 0.001), standard deviation (SD) of SBP (OR 1.036, 95% CI 1.017–1.055, p < 0.001), SD of DBP (OR 1.053, 95% CI 1.027–1.080, p < 0.001), and coefficient of variation (CV) of DBP (OR 1.025, 95% CI 1.005–1.046, p = 0.016) after adjusted for age, sex, and metabolic syndrome component. When mean SBP, mean DBP, SBP variability, and DBP variability were entered all together in the analysis model, SD of DBP (OR 1.033, 95% CI 1.003–1.063, p = 0.030) and CV of DBP (OR 1.027, 95% CI 1.004–1.051, p = 0.020) were significantly associated with the development of metabolic syndrome.ConclusionIn general population without cardiovascular disease, diabetes mellitus, metabolic syndrome, and BP medication, SD of DBP and CV of DBP was associated with the development of metabolic syndrome. Visit-to-visit variability in DBP might be helpful for the prediction of future metabolic syndrome development.
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