Evidence map›Paper›PMID 35850716›Full record

ArticlePublic health nutrition2022

Validation of salt intake measurements: comparisons of a food record checklist and spot-urine collection to 24-h urine collection.

Sigrid Beer-Borst, Stefanie Hayoz, Corinna Gréa Krause, Pasquale Strazzullo

Abstract readValidation Study
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sigrid Beer-BorstUniversity of Bern, Institute of Social and Preventive Medicine, Mittelstrasse 43, 3012Bern, Switzerland.ORCID 0000-0002-0997-6101
Stefanie HayozUniversity of Bern, Institute of Social and Preventive Medicine, Mittelstrasse 43, 3012Bern, Switzerland.
Corinna Gréa KrauseUniversity of Bern, Institute of Social and Preventive Medicine, Mittelstrasse 43, 3012Bern, Switzerland.
Pasquale StrazzulloFederico II University of Naples Medical School, Department of Clinical Medicine & Surgery, Naples, Italy.

Funding

Swiss National Science Foundation 145149
6 · The paper itself

Abstract

objectiveMonitoring 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).

designCompare 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.

settingThe validation study was part of a 1-year workplace intervention trial to lower salt intake in Switzerland.

participantsSeventy 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).

resultsMean 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.

conclusionsAlthough 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.

Indexed as

Sodium, DietaryUrine Specimen CollectionChecklistClinical Trials as TopicFemaleHumansMaleSodiumSodium Chloride, DietarySodiumSodium Chloride, DietarySodium, Dietary24-h urineFood record checklistNaPrediction modelQuestionnaire assessmentSalt intake monitoringSpot-urineValidation study

Identifiers

PMID35850716
PMCPMC7613718

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.