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Pascal Bovet

Researcher at University of Lausanne

Publications -  379
Citations -  39457

Pascal Bovet is an academic researcher from University of Lausanne. The author has contributed to research in topics: Population & Body mass index. The author has an hindex of 67, co-authored 352 publications receiving 31182 citations. Previous affiliations of Pascal Bovet include University of Oulu & University Hospital of Lausanne.

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Perception of cardiovascular risk and comparison with actual cardiovascular risk

TL;DR: Only half of the individuals could provide an estimate of their perceived CVD risk, and this perception was strongly associated with SES, which means individuals under treatment perceived higher CVDrisk than nontreated individuals.
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Comparison of Serum Lipoprotein(a) Distribution and its Correlates among Black and White Populations

TL;DR: In both ethnic groups, serum Lp(a) was found to correlate with total cholesterol, LDL-ch cholesterol and apoprotein B but not with HDL-cholesterol, alcohol intake, smoking, and body mass index, consistent with the hypothesis that genetic factors account for much of the variation in both populations.
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Systematic difference between blood pressure readings caused by cuff type.

TL;DR: The age-adjusted effect of body mass index on systolic and diastolic blood pressures decreased twofold using blood pressure readings made with a Tricuff instead of a standard cuff.
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Understanding and Meeting the Needs of the Older Population: A Global Challenge

TL;DR: This work has shown that the aging of the population, in conjunction with urbanization and industrialization, has resulted in an important epidemiological transition marked by a widespread increase in the prevalence of chronic diseases and their sequelae.
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Gender difference in the response to an angiotensin-converting enzyme inhibitor and a diuretic in hypertensive patients of African descent.

TL;DR: In this paper, the ambulatory blood pressure (ABP) response to a diuretic and an ACE inhibitor in hypertensive patients of East African descent was examined and individual characteristics that determined treatment efficacy.