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. 2010 Nov;140(11):2059S-69S.
doi: 10.3945/jn.110.123414. Epub 2010 Sep 29.

Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings

Affiliations

Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings

Mary Arimond et al. J Nutr. 2010 Nov.

Abstract

Women of reproductive age living in resource-poor settings are at high risk of inadequate micronutrient intakes when diets lack diversity and are dominated by staple foods. Yet comparative information on diet quality is scarce and quantitative data on nutrient intakes is expensive and difficult to gather. We assessed the potential of simple indicators of dietary diversity, such as could be generated from large household surveys, to serve as proxy indicators of micronutrient adequacy for population-level assessment. We used 5 existing data sets (from Burkina Faso, Mali, Mozambique, Bangladesh, and the Philippines) with repeat 24-h recalls to construct 8 candidate food group diversity indicators (FGI) and to calculate the mean probability of adequacy (MPA) for 11 micronutrients. FGI varied in food group disaggregation and in minimum consumption required for a food group to count. There were large gaps between intakes and requirements across a range of micronutrients in each site. All 8 FGI were correlated with MPA in all sites; regression analysis confirmed that associations remained when controlling for energy intake. Assessment of dichotomous indicators through receiver-operating characteristic analysis showed moderate predictive strength for the best choice indicators, which varied by site. Simple FGI hold promise as proxy indicators of micronutrient adequacy.

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Conflict of interest statement

Author disclosures: M. Arimond, D. Wiesmann, E. Becquey, A. Carriquiry, M. C., Daniels, N. Fanou-Fogny, M. L. Joseph, G. Kennedy, Y. Martin-Prevel, and L. E. Torheim, no conflicts of interest. M. Deitchler is an employee of by AED.

Figures

FIGURE 1
FIGURE 1
MPA by FGI score, NPNL women, for FGI-9R (A), FGI-13R (B), and FGI-21R (C). Values are means ± SEM. Data points representing fewer than 10 observations are not included. Burkina Faso, n = 130; Mali, n = 102; Mozambique, n = 103; Bangladesh, n = 299; Philippines, n = 1798.
FIGURE 2
FIGURE 2
MPA by FGI score, lactating women, for FGI-9R (A), FGI-13R (B), and FGI-21R (C). Values are means ± SEM. Data points representing fewer than 10 observations are not included. Mozambique, n = 252; Bangladesh, n = 111; Philippines, n = 167.

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