Evidence map›Paper›PMID 29596369›Full record

ArticleNutrients2018

New Statistical Approach to Apportion Dietary Sources of Iodine Intake: Findings from Kenya, Senegal and India.

Frits van der Haar, Jacky Knowles, Zipporah Bukania, Boubacar Camara, Chandrakant S Pandav, John Maina Mwai, Ndeye Khady Toure, Kapil Yadav

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. 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
0.5field-weighted citation impact, top 37% of its field
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, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Individualized Program with Iodine Supplementation.Advances in nutrition (Bethesda, Md.) · 2024
    Article
  4. Article
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

8 authors at 6 institutions in 5 countries.

Frits van der HaarRollins School of Public Health, Emory University, Atlanta, GA 30322, USA. fvander@emory.edu.ORCID 0000-0002-4116-4111
Jacky KnowlesLarge Scale Food Fortification Initiative, Global Alliance for Improved Nutrition, 1211 Geneva, Switzerland. jacky@jackyknowlesconsultancy.com.
Zipporah BukaniaCenter for Public Health Research, Kenya Medical Research Institute, 00202 Nairobi, Kenya. zbukania@gmail.com.
Boubacar CamaraComité Scientifique de l'Ecole Doctorale, Université Cheikh Anta Diop de Dakar, B.P. 5005 Dakar-Fann, Sénégal. bccamara@yahoo.com.
Chandrakant S PandavAll India Institute of Medical Sciences, Iodine Global Network, New Delhi 110029, India. cpandav@iqplusin.org.
John Maina MwaiMinistry of Health, Nutrition and Dietetics Unit, P.O. Box 43319-00100, Nairobi, Kenya. kiriromwai@gmail.com.
Ndeye Khady ToureCellule de Lutte contre la Malnutrition, B.P. 45001 Dakar-Fann, Sénégal. ndeyekhadytoure@yahoo.fr.
Kapil YadavCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi 110029, India. dr.kapilyadav@gmail.com.
All India Institute of Medical Sciences · INCheikh Anta Diop University · SNEmory University · USGlobal Alliance for Improved Nutrition · CHKenya Medical Research Institute · KEMinistry of Health · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress of national Universal Salt Iodization (USI) strategies is typically assessed by household coverage of adequately iodized salt and median urinary iodine concentration (UIC) in spot urine collections. However, household coverage does not inform on the iodized salt used in preparation of processed foods outside homes, nor does the total UIC reflect the portion of population iodine intake attributable to the USI strategy. This study used data from three population-representative surveys of women of reproductive age (WRA) in Kenya, Senegal and India to develop and illustrate a new approach to apportion the population UIC levels by the principal dietary sources of iodine intake, namely native iodine, iodine in processed food salt and iodine in household salt. The technique requires measurement of urinary sodium concentrations (UNaC) in the same spot urine samples collected for iodine status assessment. Taking into account the different complex survey designs of each survey, generalized linear regression (GLR) analyses were performed in which the UIC data of WRA was set as the outcome variable that depends on their UNaC and household salt iodine (SI) data as explanatory variables. Estimates of the UIC portions that correspond to iodine intake sources were calculated with use of the intercept and regression coefficients for the UNaC and SI variables in each country's regression equation. GLR coefficients for UNaC and SI were significant in all country-specific models. Rural location did not show a significant association in any country when controlled for other explanatory variables. The estimated UIC portion from native dietary iodine intake in each country fell below the minimum threshold for iodine sufficiency. The UIC portion arising from processed food salt in Kenya was substantially higher than in Senegal and India, while the UIC portions from household salt use varied in accordance with the mean level of household SI content in the country surveys. The UIC portions and all-salt-derived iodine intakes found in this study were illustrative of existing differences in national USI legislative frameworks and national salt supply situations between countries. The approach of apportioning the population UIC from spot urine collections may be useful for future monitoring of change in iodine nutrition from reduced salt use in processed foods and in households.

Indexed as

DietFood AnalysisSodium Chloride, DietaryFemaleFood HandlingHumansIndiaIodineKenyaMaleRural PopulationSenegalSodiumUrban PopulationIodineiodized saltSodiumSodium Chloride, Dietaryhousehold saltnative dietary iodinepopulation iodine intake apportionmentprocessed foodsuniversal salt iodization

Identifiers

PMID29596369
PMCPMC5946215
OpenAlexW2794584194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.