Evidence map›Paper›PMID 26714467›Full record

ArticleBMC public health2015

Dietary sodium and iodine in remote Indigenous Australian communities: will salt-reduction strategies increase risk of iodine deficiency? A cross-sectional analysis and simulation study.

Emma McMahon, Jacqui Webster, Kerin O'Dea, Julie Brimblecombe

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. The effect of sodium restriction on iodine prophylaxis: a review.Journal of endocrinological investigation · 2022
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. The Retail Food Sector and Indigenous Peoples in High-Income Countries: A Systematic Scoping Review.International journal of environmental research and public health · 2020
    Article
  7. Article
  8. 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

4 authors at 3 institutions in 1 country.

Emma McMahonWellbeing and Preventable Disease Division, Menzies School of Health Research, PO Box 41096, Casuarina, NT, 0811, Australia. e.j.mcmahon@outlook.com.
Jacqui WebsterFood Policy Division, The George Institute for Global Health, The University of Sydney, Missenden Rd, Sydney, NSW, 2050, Australia. jwebster@georgeinstitute.org.au.
Kerin O'DeaCentre for Population Health Research, School of Health Sciences, University of South Australia, North Tce, Adelaide, SA, 5001, Australia. Kerin.O'Dea@unisa.edu.au.
Julie BrimblecombeWellbeing and Preventable Disease Division, Menzies School of Health Research, PO Box 41096, Casuarina, NT, 0811, Australia. Julie.Brimblecombe@menzies.edu.au.
Menzies School of Health Research · AUUniversity of South Australia · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess salt intake is a global issue. Effective salt-reduction strategies are needed, however, as salt is a vehicle for iodine fortification, these strategies may also reduce iodine intake. This study examines the case of the remote Indigenous Australian population; we employed an innovative, objective method to assess sodium and iodine intakes against requirements and modelled the potential effects of salt-reduction strategies on estimated sodium and iodine intakes.

designStore-sales data were collected from 20 remote Indigenous community stores in 2012-14 representing the main source of food for 2 years for ~8300 individuals. Estimated average sodium and iodine intakes were compared against recommendations (nutrient reference values weighted to age and gender distribution). Linear programming was employed to simulate potential effects of salt-reduction strategies on estimated sodium and iodine intakes.

resultsEstimated average sodium intake was 2770 (range within communities 2410-3450) mg/day, far exceeding the population-weighted upper limit (2060 mg/day). Discretionary (added) salt, bread and processed meat were the biggest contributors providing 46% of all sodium. Estimated average iodine intake was within recommendations at 206 (186-246) μg/day. The following scenarios enabled modelling of estimated average salt intake to within recommendations: 1) 67% reduction in sodium content of bread and discretionary salt intake, 2) 38% reduction in sodium content of all processed foods, 3) 30% reduction in sodium content of all processed foods and discretionary salt intake. In all scenarios, simulated average iodine intakes remained within recommendations.

conclusionsSalt intakes of the remote Indigenous Australian population are far above recommendations, likely contributing to the high prevalence of hypertension and cardiovascular mortality experienced by this population. Salt-reduction strategies could considerably reduce salt intake in this population without increasing risk of iodine deficiency at the population-level. These data add to the global evidence informing salt-reduction strategies and the evidence that these strategies can be synergistically implemented with iodine deficiency elimination programmes.

trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12613000694718.

Indexed as

AustraliaCross-Sectional StudiesFemaleHumansIodineMaleMiddle AgedModels, TheoreticalRiskSodium Chloride, DietarySodium, DietaryYoung AdultIodineSodium Chloride, DietarySodium, Dietary

Identifiers

PMID26714467
PMCPMC4696303
OpenAlexW2214101109

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.