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Dietary Diversity Predicts the Adequacy of Micronutrient Intake in Pregnant Adolescent Girls and Women in Bangladesh, but Use of the 5-Group Cutoff Poorly Identifies Individuals with Inadequate Intake

BACKGROUND: The Minimum Dietary Diversity for Women (MDD-W) indicator based on a 10-food group women dietary diversity score (WDDS-10) has been validated to assess dietary quality in nonpregnant women. Little is known about its applicability in pregnant women, and specifically pregnant adolescent gi...

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Detalles Bibliográficos
Autores principales: Hong Nguyen, Phuong, Huybregts, Lieven, Sanghvi, Tina G, Tran, Lan Mai, Frongillo, Edward A, Menon, Purnima, Ruel1, Marie T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413035/
https://www.ncbi.nlm.nih.gov/pubmed/30053285
http://dx.doi.org/10.1093/jn/nxy045
Descripción
Sumario:BACKGROUND: The Minimum Dietary Diversity for Women (MDD-W) indicator based on a 10-food group women dietary diversity score (WDDS-10) has been validated to assess dietary quality in nonpregnant women. Little is known about its applicability in pregnant women, and specifically pregnant adolescent girls with higher nutrient requirements. OBJECTIVES: This study aimed to 1) compare the adequacy of micronutrient intakes between pregnant adolescent girls and women, 2) examine the performance of WDDS-10 in predicting the mean probability of adequacy (MPA) of 11 micronutrients, and 3) assess how well the MDD-W cutoff of 5 groups performed in pregnant adolescent girls and women. METHODS: We used data from a 2015 household survey in Bangladesh (n = 600). Nutrient intakes were estimated with a multiple-pass 24-h recall and WDDS-10 was assessed through the use of a list-based method. Multiple linear regression models adjusted for geographical clustering assessed the association between WDDS-10 and MPA. Sensitivity and specificity analysis assessed the accuracy of MDD-W in correctly classifying individuals into high (MPA >0.6) or low MPA. RESULTS: Dietary intakes of pregnant adolescent girls and women were similar in energy intake, WDDS-10 (5.1 ± 1.4), MPA (0.40 ± 0.12), and micronutrient intakes. Probabilities of adequacy were ~0.30 for riboflavin, vitamin B-12, calcium, and zinc; 0.12–0.15 for folate; 0.16–0.19 for vitamin A; and extremely low for iron at 0.01. The WDDS-10 was significantly associated with MPA in both groups and predicted MPA equally well at population level (SD of residuals 0.11 for both). Use of the 5-food groups cutoff for MDD-W to classify individuals’ diets into MPA >0.6, however, resulted in a low correct classification (~40%). A cutoff of 6 food groups markedly improved correct classification. CONCLUSIONS: The WDDS-10 predicted MPA equally well for pregnant adolescent girls and women at population level. The MDD-W indicator performed poorly in classifying individuals with MPA >0.6. J Nutr 2018;148:790–797