title: Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings.
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.
authors.affiliation: Program in International and Community Nutrition, University of California, Davis, CA 95616, USA. marimond@ucdavis.edu
authors.forename: Mary
authors.initials: M
authors.lastname: Arimond
authors.forename: Doris
authors.initials: D
authors.lastname: Wiesmann
authors.forename: Elodie
authors.initials: E
authors.lastname: Becquey
authors.forename: Alicia
authors.initials: A
authors.lastname: Carriquiry
authors.forename: Melissa C
authors.initials: MC
authors.lastname: Daniels
authors.forename: Megan
authors.initials: M
authors.lastname: Deitchler
authors.forename: Nadia
authors.initials: N
authors.lastname: Fanou-Fogny
authors.forename: Maria L
authors.initials: ML
authors.lastname: Joseph
authors.forename: Gina
authors.initials: G
authors.lastname: Kennedy
authors.forename: Yves
authors.initials: Y
authors.lastname: Martin-Prevel
authors.forename: Liv Elin
authors.initials: LE
authors.lastname: Torheim
mesh_terms: D000328:Adult; D016208:Databases, Factual; D003677:Deficiency Diseases / Q000453:epidemiology* / Q000517:prevention & control; D003906:Developing Countries / Q000706:statistics & numerical data; D004032:Diet; D005260:Female; D005502:Food / Q000145:classification; D006801:Humans; D038622:Internationality; D018977:Micronutrients / Q000008:administration & dosage*; D015233:Models, Statistical; D009749:Nutrition Surveys; D009751:Nutritional Requirements; D011204:Poverty Areas; D015995:Prevalence; D012307:Risk Factors
chemical_list: D018977:Micronutrients