2013
DOI: 10.1161/hypertensionaha.111.00138
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Home Blood Pressure Variability as Cardiovascular Risk Factor in the Population of Ohasama

Abstract: Abstract-Blood pressure variability based on office measurement predicts outcome in selected patients. We explored whether novel indices of blood pressure variability derived from the self-measured home blood pressure predicted outcome in a general population. We monitored mortality and stroke in 2421 Ohasama residents (Iwate Prefecture, Japan). At enrollment (1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995), participants (mean age, 58.6 years; 60.9% women; 27.1% treated) measured their blood pressure at home, … Show more

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Cited by 121 publications
(101 citation statements)
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“…Several studies have found an inverse relationship between BMI and BPV 27, 28. Our analysis revealed a similar result.…”
Section: Discussionsupporting
confidence: 90%
“…Several studies have found an inverse relationship between BMI and BPV 27, 28. Our analysis revealed a similar result.…”
Section: Discussionsupporting
confidence: 90%
“…29 PTA treatment had been reported to improve excessive oxidative stress and endothelial dysfunction 30 and thus may possibly affect BP variability. In this study, the mean values of BP variability indices were relatively higher than those in previous studies in the general population [31][32][33] or in hypertensive patients. 34,35 Of the BP variability indices applied in this study, the indices other than VIM are known to be dependent on the BP level.…”
Section: Discussioncontrasting
confidence: 83%
“…33 The effects of antihypertensive drug therapy on BP variability are especially relevant in this context because BP-lowering drugs have been suggested to be an important driver of the association between BP variability and cardiovascular outcomes. 34 In our large individual-level meta-analysis, increased BP variability was associated with cardiovascular disease in both The risk of events in each decile of blood pressure variability was assessed with multivariable-adjusted Cox models while using the overall risk in the whole population as reference. All models were adjusted for cohort, sex, age, body mass index, smoking status, diabetes mellitus status, use of antihypertensive medication, total serum cholesterol, history of cardiovascular disease, and mean systolic/diastolic home blood pressure.…”
Section: Table 3 Incremental Predictive Value Of Home Blood Pressurementioning
confidence: 99%