Evidence map›Paper›PMID 37592931›Full record

ArticleJournal of nutritional science2023

Comparison of a digital iodine-specific dietary screener with 24-hour recall and urinary iodine concentration.

Hanne Rosendahl-Riise, Siri Aksnes, Zoya Sabir, Ellen K Ulleberg, Thea Myklebust-Hansen, Inger Aakre

Abstract read
In one paragraph

Article in Journal of nutritional science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Hanne Rosendahl-RiiseMohn Nutrition Research Laboratory and Center for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway.ORCID 0000-0002-1497-416X
Siri AksnesDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Zoya SabirMohn Nutrition Research Laboratory and Center for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway.ORCID 0000-0003-0744-5611
Ellen K UllebergNorwegian Dairy Council, Oslo, Norway.
Thea Myklebust-HansenNorwegian Dairy Council, Oslo, Norway.
Inger AakreInstitute of Marin Research, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild-to-moderate iodine deficiency remains a problem worldwide, including in Norway. Of particular, concern is fertile, pregnant and lactating women. The Norwegian Dairy Council developed a digital iodine-specific dietary screener (I-screener) for the assessment of iodine intake levels but has yet to be validated. The aim was thus to investigate the relative validity of the I-screener by comparing estimates of iodine intake from the I-screener against a single 24-hour recall (24HR) and urinary iodine concentration (UIC) in fertile women. Healthy females were recruited in Bergen in August-December 2021. Six spot-urine samples from six consecutive days were collected into a pooled sample to assess UIC. Each participant completed a single administration of the I-screener and the 24HR. The estimated daily iodine intake from the I-screener was compared with the estimations from the 24HR and UIC. Seventy-two women aged 19-39 completed the study. The median UIC was 76 μg/l. Compared with the 24HR, the I-screener placed 83 % of the participants in the same/adjacent tertial, with a slight agreement between the methods (Cohen's kappa = 0⋅187). The present study shows an acceptable correlation between the I-screener and the 24HR (

Indexed as

IodineMalnutritionDietFemaleHumansLactationNutritional StatusPregnancyIodine24-hour recallDietary screenerIodineUrinary iodine concentrationValidation

Identifiers

PMID37592931
PMCPMC10427488

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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.