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dc.contributor.authorKaren Elizabeth Charltonen_US
dc.contributor.authorAletta Elisabeth Schutteen_US
dc.contributor.authorLeanda Wepeneren_US
dc.contributor.authorBarbara Corsoen_US
dc.contributor.authorPaul Kowalen_US
dc.contributor.authorLisa Jayne Wareen_US
dc.date.accessioned2020-10-14T08:23:10Z-
dc.date.available2020-10-14T08:23:10Z-
dc.date.issued2020-07-01en_US
dc.identifier.issn20726643en_US
dc.identifier.other2-s2.0-85087780815en_US
dc.identifier.other10.3390/nu12072026en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087780815&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/70026-
dc.description.abstract© 2020 by the authors. Given a global focus on salt reduction efforts to reduce cardiovascular risk, it is important to obtain accurate measures of salt intake on a population level. This study determined firstly whether adjustment for intra-individual variation in urinary sodium (Na) excretion using three repeated 24 h collections affects daily estimates and whether the use of repeated spot urine samples results in better prediction of 24 h Na compared to a single collection. Twenty three community-dwelling men and women from South Africa (mean age 59.7 years (SD = 15.6)) participating in the World Health Organization Study on global AGEing and adult health (WHO-SAGE) Wave 3 study collected 24 h and spot early morning urine samples over three consecutive days to assess urinary Na excretion. INTERSALT, Tanaka, and Kawasaki prediction equations, with either average or adjusted spot Na values, were used to estimate 24 h Na and compared these against measured 24 h urinary Na. Adjustment was performed by using the ratio of between-person (sb) and total (sobs) variability obtained from repeated measures analysis of variance. Sensitivity of the equations to predict daily urinary Na values below 5 g salt equivalent was calculated. The sb/sobs for urinary Na using three repeated samples for spot and 24 h samples were 0.706 and 0.798, respectively. Correction using analysis of variance for 3 × 24 h collections resulted in contraction of the upper end of the distribution curve (90th centile: 157 to 136 mmoL/day; 95th centile: 220 to 178 mmoL/day). All three prediction equations grossly over-estimated 24 h urinary Na excretion, regardless of whether a single spot urine or repeated collections corrected for intra-individual variation were used. Sensitivity of equations to detect salt intake equivalent values of ≤5 g/day was 13% for INTERSALT, while the other two equations had zero sensitivity. Correcting for intra-individual variability in Na excretion using three 24 h urine collections contracted the distribution curve for high intakes. Repeated collection of spot samples for urinary Na analysis does not improve the accuracy of predicting 24 h Na excretion. Spot urine samples are not appropriate to detect participants with salt intakes below the recommended 5 g/day.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectNursingen_US
dc.titleCorrecting for intra-individual variability in sodium excretion in spot urine samples does not improve the ability to predict 24 h urinary sodium excretionen_US
dc.typeJournalen_US
article.title.sourcetitleNutrientsen_US
article.volume12en_US
article.stream.affiliationsIllawarra Health and Medical Research Instituteen_US
article.stream.affiliationsNorth-West Universityen_US
article.stream.affiliationsUniversity of New South Wales (UNSW) Australiaen_US
article.stream.affiliationsOrganisation Mondiale de la Santéen_US
article.stream.affiliationsConsiglio Nazionale delle Ricercheen_US
article.stream.affiliationsUniversity of Witwatersranden_US
article.stream.affiliationsUniversity of Wollongongen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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