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.

dietary diversity indicator micronutrient adequacy minimum dietary diversity for women pregnant resource-poor settings

Journal

Current developments in nutrition
ISSN: 2475-2991
Titre abrégé: Curr Dev Nutr
Pays: United States
ID NLM: 101717957

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 19 09 2023
revised: 21 11 2023
accepted: 26 11 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: epublish

Résumé

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. 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. We used secondary quantitative 24-h recall data from 6 surveys in 4 LMICs (Bangladesh, Burkina Faso, India, and Nepal, total 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%). 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
We used secondary quantitative 24-h recall data from 6 surveys in 4 LMICs (Bangladesh, Burkina Faso, India, and Nepal, total
Results UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 38187987
doi: 10.1016/j.cdnut.2023.102053
pii: S2475-2991(23)26637-8
pmc: PMC10767136
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102053

Informations de copyright

© 2023 The Authors.

Auteurs

Eric O Verger (EO)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Sabrina Eymard-Duvernay (S)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Dang Bahya-Batinda (D)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Giles T Hanley-Cook (GT)

Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Alemayehu Argaw (A)

Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Department of Population and Family Health, Institute of Health, Jimma University, Jimma, Ethiopia.

Elodie Becquey (E)

International Food Policy Research Institute (IFPRI), Dakar, Senegal.

Loty Diop (L)

International Food Policy Research Institute (IFPRI), Dakar, Senegal.

Aulo Gelli (A)

International Food Policy Research Institute (IFPRI), Washington, DC, United States.

Helen Harris-Fry (H)

Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Shivani Kachwaha (S)

Johns Hopkins University, Baltimore, MD, United States.

Sunny S Kim (SS)

International Food Policy Research Institute (IFPRI), Washington, DC, United States.

Phuong Hong Nguyen (PH)

International Food Policy Research Institute (IFPRI), Washington, DC, United States.

Naomi M Saville (NM)

UCL Institute for Global Health, London, United Kingdom.

Lan Mai Tran (LM)

Emory University, Atlanta, GA, United States.

Rock R Zagré (RR)

International Food Policy Research Institute (IFPRI), Dakar, Senegal.

Edwige Landais (E)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Mathilde Savy (M)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Yves Martin-Prevel (Y)

MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France.

Carl Lachat (C)

Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Classifications MeSH