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Potassium and Hypertension

Name: Potassium and Hypertension
Creator: Suter, Paolo M
Keywords: Adult, Adolescent, Middle Aged, 142-005 142-005, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Meta-Analysis as Topic, Hypertension, Potassium

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 27 Apr 2009Embargo end date: 27 Apr 2009 Switzerland Publisher:Oxford University Press (OUP)Journal:Nutrition Reviews, volume 56, pages 151-153 (issn: 0029-6643, eissn: 1753-4887,

Authors: Suter, Paolo M;

doi: 10.1111/j.1753-4887.1998.tb01741.x , 10.5167/uzh-154815

pmid: 9624886

Potassium and Hypertension

- Summary
- Subjects
- Metrics

Abstract

A recent meta-analysis supports the premise that increased potassium intake may play a role in the prevention and treatment of hypertension. The possible mechanisms by which potassium may act as an antihypertensive and recommendations regarding increasing potassium intake are also discussed.

Country

Switzerland

Related Organizations

University Hospital of Zurich
Switzerland
University of Zurich
Switzerland
RERO - Library Network of Western Switzerland
Switzerland

Keywords

Adult, Adolescent, Middle Aged, 142-005 142-005, Meta-Analysis as Topic, Hypertension, Potassium, Humans, Antihypertensive Agents, Aged, Randomized Controlled Trials as Topic

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	28
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%