Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Validation of salt intake measurements

Comparisons of a food record checklist and spot-urine collection to 24-h urine collection

Bibliographic Data

ID15095015
AuthorsSigrid Beer-Borst (0000-0002-0997-6101, University of Bern, corresponding author), Stefanie Hayoz (0000-0002-2265-6559, University of Bern), Corinna Gréa Krause, Corinna Krause (University of Bern), Pasquale Strazzullo (0000-0001-8400-6458)
Year2022
Volume25
Issue11
Pages2983-2994
Publication date2022-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980022001537
PMID35850716
OpenAlexW4285798697
LanguageEN
References cited30

Objective: Monitoring population salt intake is operationally and economically challenging. We explored whether a questionnaire assessment and a prediction of Na intake from spot-urine could replace or complement the recommended measurement of Na in 24-h urine (24-h U). Design: Compare the agreement of a Na-specific food record checklist (FRCL) and a late-afternoon spot-urine measurement (PM-spot) with 24-h U measurement in estimating Na intake at group level. Each participant’s use of these methods extended over 3 d. Agreement was assessed using mean (95 % CI) differences, linear regression models and Bland–Altman plots. Setting: The validation study was part of a 1-year workplace intervention trial to lower salt intake in Switzerland. Participants: Seventy women and 71 men, aged 21–61 years, completed three FRCL, and acceptable PM-spot and 24-h U samples at baseline (April–October 2015). Results: Mean Na intake estimates varied slightly across methods (3·5–3·9 g/d). Mean Na intake differences from 24-h U were 0·2 (95 % CI (0, 0·5)) g/d for FRCL and 0·4 (95 % CI (0·2, 0·6)) g/d for PM-spot. Linear regression models and Bland–Altmann plots more clearly depicted differences by sex and discretionary salt use. Conclusions: Although 24-h U remains the best reference method for monitoring Na intake at the population level, PM-spot and FRCL might be more practical instruments for frequent, periodic Na intake assessments. Population-specific prediction models to estimate 24-h U could be developed and evaluated

Animal science · Biology · Checklist · Environmental health · Limits of agreement · Linear regression · Nuclear medicine · Population · Statistics · Urine · Consumer Attitudes and Food Labeling · Demography · Mathematics · Medicine · Nutritional Studies and Diet · Psychology · Sodium Intake and Health · Internal Medicine

  • Research electronic data capture (Redcap)—A metadata-driven methodology and workflow process for providing translational research informatics support

    Open Access•Paul A Harris, Robert Taylor et al.•Journal of Biomedical Informatics•2009

  • Study design and baseline characteristics of a combined educational and environmental intervention trial to lower sodium intake in Swiss employees

    Open Access•Sigrid Beer-Borst, Xhyljeta Luta et al.•BMC Public Health•2018

  • Evaluation of using spot urine to replace 24 h urine sodium and potassium excretions

    Open Access•Eveline JC Hooft van Huysduynen, Paul JM Hulshof et al.•Public Health Nutrition•2014

  • Reliability and validity of a semi-quantitative FFQ for sodium intake in low-income and low-literacy Brazilian hypertensive subjects

    Open Access•Maria-Carolina S Ferreira-Sae, Maria Cecília Bueno Jayme Gallani et al.•Public Health Nutrition•2009

  • Food sources and correlates of sodium and potassium intakes in Flemish pre-school children

    Open Access•Inge Huybrechts, Willem De Keyzer et al.•Public Health Nutrition•2012

  • Development and validation of a short questionnaire to assess sodium intake

    Open Access•Karen E Charlton, Karen Charlton et al.•Public Health Nutrition•2008

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae