Evidence map›Paper›PMID 37634853›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2023

Comparison of Published Estimates of the National Prevalence of Iron, Vitamin A, and Zinc Deficiency and Sources of Inconsistencies.

Sonja Y Hess, K Ryan Wessells, Demewoz Haile, Lisa M Rogers, Xiuping Tan, Jonathan G Barros, Megan W Bourassa, Jonathan Gorstein, Kenneth H Brown

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2023. 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. Trial
  2. Review
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

9 authors.

Sonja Y HessInstitute for Global Nutrition and Department of Nutrition, University of California Davis, Davis, CA, United States; Micronutrient Forum, Washington, DC, United States. Electronic address: syhess@ucdavis.edu.
K Ryan WessellsInstitute for Global Nutrition and Department of Nutrition, University of California Davis, Davis, CA, United States.
Demewoz HaileInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States.
Lisa M RogersWorld Health Organization, Geneva, Switzerland.
Xiuping TanInstitute for Global Nutrition and Department of Nutrition, University of California Davis, Davis, CA, United States.
Jonathan G BarrosInstitute for Global Nutrition and Department of Nutrition, University of California Davis, Davis, CA, United States.
Megan W BourassaMicronutrient Forum, Washington, DC, United States.
Jonathan GorsteinBill & Melinda Gates Foundation, Seattle, WA, United States.
Kenneth H BrownInstitute for Global Nutrition and Department of Nutrition, University of California Davis, Davis, CA, United States.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Micronutrient deficiencies result in a broad range of adverse health and functional consequences, but the true prevalence of specific deficiencies remains uncertain because limited information is available from nationally representative surveys using recommended biomarkers. The present review compares various reported national deficiency prevalence estimates for nutrients and years where the estimates overlap for individual countries that conducted nationally representative surveys and explores possible reasons for any discrepancies discovered. Nationally representative micronutrient status surveys that were conducted since 2000 among preschool-aged children or women of reproductive age and included assessment of iron, vitamin A, or zinc status based on recognized biomarkers were considered eligible for inclusion, along with any modeled deficiency prevalence estimates for these same countries and years. There was considerable variation across different published prevalence estimates, with larger inconsistencies when the prevalence estimate was based on proxies, such as hemoglobin for iron deficiency and dietary zinc availability for zinc deficiency. Numerous additional methodological issues affected the prevalence estimates, such as which biomarker and what cutoff was used to define deficiency, whether the biomarker was adjusted for inflammation, and what adjustment method was used. For some country-years, the various approaches resulted in fairly consistent prevalence estimates. For other country-years, however, the results differed markedly and changed the conclusions regarding the existence and severity of the micronutrient deficiency as a public health concern. In conclusion, to determine micronutrient status, we consider the assessment of one of the recommended biomarkers in a population representative survey as the best available information. If indicated, results should be adjusted for inflammation and generally acceptable cutoffs should be applied to facilitate comparisons, although individual countries may also apply nationally defined cutoffs to determine when and where to intervene. Global consensus is needed on best practices for presenting survey results and defining the prevalence of deficiency.

Indexed as

Anemia, Iron-DeficiencyFolic Acid DeficiencyMalnutritionTrace ElementsVitamin A DeficiencyBiomarkersChildChild, PreschoolFemaleHumansInflammationIronMicronutrientsMineralsPrevalenceVitamin ABiomarkersIronMicronutrientsMineralsTrace ElementsVitamin AZincironmicronutrient deficiencyprevalencevitamin Azinc

Identifiers

PMID37634853
PMCPMC10721533

What Socratic 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 Socratic graph.