Evidence map›Paper›PMID 38187987›Full record

ArticleCurrent developments in nutrition2024

Defining a Dichotomous Indicator for Population-Level Assessment of Dietary Diversity Among Pregnant Adolescent Girls and Women: A Secondary Analysis of Quantitative 24-h Recalls from Rural Settings in Bangladesh, Burkina Faso, India, and Nepal.

Eric O Verger, Sabrina Eymard-Duvernay, Dang Bahya-Batinda, Giles T Hanley-Cook, Alemayehu Argaw, Elodie Becquey, Loty Diop, Aulo Gelli, Helen Harris-Fry, Shivani Kachwaha and 9 more

Erratum issuedAbstract read
In one paragraph

Article in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Eric O VergerMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Sabrina Eymard-DuvernayMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Dang Bahya-BatindaMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Giles T Hanley-CookDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Alemayehu ArgawDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Elodie BecqueyInternational Food Policy Research Institute (IFPRI), Dakar, Senegal.
Loty DiopInternational Food Policy Research Institute (IFPRI), Dakar, Senegal.
Aulo GelliInternational Food Policy Research Institute (IFPRI), Washington, DC, United States.
Helen Harris-FryDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Shivani KachwahaJohns Hopkins University, Baltimore, MD, United States.
Sunny S KimInternational Food Policy Research Institute (IFPRI), Washington, DC, United States.
Phuong Hong NguyenInternational Food Policy Research Institute (IFPRI), Washington, DC, United States.
Naomi M SavilleUCL Institute for Global Health, London, United Kingdom.
Lan Mai TranEmory University, Atlanta, GA, United States.
Rock R ZagréInternational Food Policy Research Institute (IFPRI), Dakar, Senegal.
Edwige LandaisMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Mathilde SavyMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Yves Martin-PrevelMoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.
Carl LachatDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Minimum Dietary Diversity for Women of Reproductive Age (MDD-W) indicator was validated as a proxy of micronutrient adequacy among nonpregnant women in low- and middle-income countries (LMICs). At that time, indeed, there was insufficient data to validate the indicator among pregnant women, who face higher micronutrient requirements. Objective: This study aimed to validate a minimum food group consumption threshold, out of the 10 food groups used to construct MDD-W, to be used as a population-level indicator of higher micronutrient adequacy among pregnant women aged 15-49 y in LMICs. Methods: We used secondary quantitative 24-h recall data from 6 surveys in 4 LMICs (Bangladesh, Burkina Faso, India, and Nepal, total Results: In the pooled sample, median values (interquartile range) of WDDS-10 and MPA were 3 (1) and 0.20 (0.34), respectively, whereas the proportion of pregnant women with an MPA of >0.60 was 9.6%. The WDDS-10 was significantly positively associated with MPA in each survey. Although the acceptable food group consumption threshold varied between 4 and 6 food groups across surveys, the threshold of 5 showed the highest performance in the pooled sample with good sensitivity (62%), very good specificity (81%), and percentage of correctly classified individuals (79%). Conclusions: The WDDS-10 is a good predictor of dietary micronutrient adequacy among pregnant women aged 15-49 y in LMICs. Moreover, the threshold of 5 or more food groups for the MDD-W indicator may be extended to all women of reproductive age, regardless of their physiologic status.

Indexed as

dietary diversityindicatormicronutrient adequacyminimum dietary diversity for womenpregnantresource-poor settings

Identifiers

PMID38187987
PMCPMC10767136

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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.