Associations of Urinary Caffeine and Caffeine Metabolites With Arterial Stiffness in a Large Population-Based Study

Ponte, Belen; Pruijm, Menno; Ackermann, Daniel; Ehret, Georg Benedikt; Ansermot, Nicolas; Staessen, Jan A.; Vogt, Bruno Franz; Pechere, Antoinette; Burnier, Michel; Martin, Pierre-Yves; Eap, Chin Bin; Bochud, Murielle; Guessous, Idris

doi:10.1016/j.mayocp.2017.12.010

Scientific article

English

Associations of Urinary Caffeine and Caffeine Metabolites With Arterial Stiffness in a Large Population-Based Study

ContributorsPonte, Belen; Pruijm, Menno; Ackermann, Daniel; Ehret, Georg Benedikt; Ansermot, Nicolas; Staessen, Jan A.; Vogt, Bruno Franz; Pechere, Antoinette; Burnier, Michel; Martin, Pierre-Yves; Eap, Chin Bin; Bochud, Murielle; Guessous, Idris

Published inMayo Clinic Proceedings, vol. 93, no. 5, p. 586-596

Publication date2018

Abstract

To assess the influence of caffeine on arterial stiffness by exploring the association of urinary excretion of caffeine and its related metabolites with pulse pressure (PP) and pulse wave velocity (PWV).

Affiliation entities

Research groups

Funding

Swiss National Science Foundation - Blood pressure and the kidney: interface between genes and environment
Swiss National Science Foundation - Blood pressure and renal function genetics [33CM30_140331]

Citation (ISO format)

PONTE, Belen et al. Associations of Urinary Caffeine and Caffeine Metabolites With Arterial Stiffness in a Large Population-Based Study. In: Mayo Clinic Proceedings, 2018, vol. 93, n° 5, p. 586–596. doi: 10.1016/j.mayocp.2017.12.010

Article (Published version)

Identifiers

PID : unige:114108
DOI : 10.1016/j.mayocp.2017.12.010
PMID : 29551227

Commercial URLhttps://linkinghub.elsevier.com/retrieve/pii/S002561961730887X

ISSN of the journal0025-6196

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Creation17/12/2018 15:11:00

First validation17/12/2018 15:11:00

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Associations of Urinary Caffeine and Caffeine Metabolites With Arterial Stiffness in a Large Population-Based Study

To assess the influence of caffeine on arterial stiffness by exploring the association of urinary excretion of caffeine and its related metabolites with pulse pressure (PP) and pulse wave velocity (PWV).

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