P
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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Journal ArticleDOI
Urine spot samples can be used to estimate 24-hour urinary sodium excretion in children.
Magali Rios-Leyvraz,Pascal Bovet,René Tabin,Bernard Genin,Michel Russo,Michel F. Rossier,Murielle Bochud,Arnaud Chiolero,Arnaud Chiolero,Arnaud Chiolero +9 more
TL;DR: Urine spot samples, with selected equations, might provide accurate estimates of the 24-h urinary sodium excretion in children at a population level and at an individual level, they could be used to identify children with high Sodium excretion.
Journal ArticleDOI
Fibroblast Growth Factor-23 (FGF-23) Levels Differ Across Populations by Degree of Industrialization.
Shennin N. Yuen,Holly Kramer,Amy Luke,Pascal Bovet,Jacob Plange-Rhule,Terrence Forrester,V Lambert,Myles Wolf,Pauline M. Camacho,Regina Harders,Lara R. Dugas,Richard S. Cooper,Ramon Durazo-Arvizu +12 more
TL;DR: The distribution of FGF23 levels in a given population may be influenced by the level of industrialization, likely due to differences in access to foods preserved with phosphate additives.
Journal ArticleDOI
Much higher prevalence of carotid atheroma in a developing African country than in several Western countries
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Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin
Amy Luke,Pascal Bovet,Terrence Forrester,Estelle V. Lambert,Jacob Plange-Rhule,Lara R. Dugas,Ramon Durazo-Arvizu,Jacolene Kroff,Whitney N. Richie,Dale A. Schoeller +9 more
TL;DR: Relatively small differences exist between BIA equations to estimate FFM, whether study-derived or published equations, although the site-combined equation performed slightly better than others.
Journal ArticleDOI
Global Burden of Disease Attributable to Hypertension.
TL;DR: This method will provide biased estimates of cardiovascular outcomes; although the relative risks may be similar across populations, the background of other risk factors vary and will influence the event rate and the number of deaths from coronary heart disease.