Factors associated with 24-hour urinary volume: the Swiss salt survey.

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Serval ID
serval:BIB_0B7980CDD959
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Factors associated with 24-hour urinary volume: the Swiss salt survey.
Journal
Bmc Nephrology
Author(s)
Schoen T., Blum J., Paccaud F., Burnier M., Bochud M., Conen D.
Working group(s)
Swiss Survey on Salt investigators
Contributor(s)
Binet I., Erne P., Gabutti L., Gallino A., Greminger P., Guessous I., Hayoz D., Meier P., Muggli T., Péchère-Bertschi A., Suter PM.
ISSN
1471-2369 (Electronic)
ISSN-L
1471-2369
Publication state
Published
Issued date
2013
Volume
14
Number
246
Pages
246
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
BACKGROUND: Low 24-hour urine volume (24 UV) may be a significant risk factor for decline in kidney function. We therefore aimed to study associated markers and possible determinants of 24 UV in a sample of the Swiss population.
METHODS: The cross-sectional Swiss Salt Study included a population-based sample of 1535 (746 men and 789 women) individuals from three linguistic regions of Switzerland. Data from 1300 subjects were available for the present analysis. 24 UV was measured using 24-hour urine collection. Determinants of 24 UV were identified using multivariable linear regression models.
RESULTS: In bivariate analysis, 24 UV was higher in women compared to men (2000 ml/24 h [interquartile range (IQR): 1354, 2562] versus 1780 ml/24 h [IQR: 1244, 2360], p = 0.002). In multivariable regression analyses, independent associated markers of 24 UV were female sex (β = 280, 95% confidence interval [CI]: 174, 386, p < 0.0001), fluid intake (β = 604, 95% CI: 539, 670, p < 0.0001), sodium excretion (β = 4.2, 95% CI: 3.4, 4.9, p < 0.0001) age (β = 6.6, CI: 3.4, 9.7, p < .0001), creatinine clearance (β = 2.4, CI: 0.2, 4.6, p = 0.04), living in the German-speaking part of Switzerland (β = 124, CI: 29, 219, p = 0.01), alcohol consumption (β = 41, CI: 9, 73, p = 0.01 for increasing categories of alcohol consumption), body mass index (β = -32, CI: -45, -18, p < 0.0001), current smoking (β = -146, CI: -265, -26, p = 0.02), and consumption of meat and cold cut (β = -56, CI: -108, -5, p = 0.03).
CONCLUSION: In this large population-based, cross-sectional study, we found several strong and independent correlates for 24 UV. These findings may be important to improve our understanding in the development of chronic kidney disease.
Pubmed
Web of science
Open Access
Yes
Create date
10/12/2013 10:41
Last modification date
20/08/2019 12:33
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