Food groups associated with a composite measure of probability of adequate intake of 11 micronutrients in the diets of women in urban Mali

J Nutr. 2010 Nov;140(11):2070S-8S. doi: 10.3945/jn.110.123612. Epub 2010 Sep 29.

Abstract

The prevalence of micronutrient deficiency is high among women of reproductive age living in urban Mali. Despite this, there are little data on the dietary intake of micronutrients among women of reproductive age in Mali. This research tested the relationship between the quantity of intake of 21 possible food groups and estimated usual micronutrient (folate, vitamin B-12, calcium, riboflavin, niacin, vitamin A, iron, thiamin, vitamin B-6, vitamin C, and zinc) intakes and a composite measure of adequacy of 11 micronutrients [mean probability of adequacy (MPA)] based on the individual probability of adequacy (PA) for the 11 micronutrients. Food group and micronutrient intakes were calculated from 24-h recall data in an urban sample of Malian women. PA was lowest for folate, vitamin B-12, calcium, and riboflavin. The overall MPA for the composite measure of 11 micronutrients was 0.47 ± 0.18. Grams of intake from the nuts/seeds, milk/yogurt, vitamin A-rich dark green leafy vegetables (DGLV), and vitamin C-rich vegetables food groups were correlated (Spearman's rho = 0.20-0.36; P < 0.05) with MPA. Women in the highest consumption groups of nuts/seeds and DGLV had 5- and 6-fold greater odds of an MPA > 0.5, respectively. These findings can be used to further the development of indicators of dietary diversity and to improve micronutrient intakes of women of reproductive age.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Deficiency Diseases / epidemiology*
  • Deficiency Diseases / prevention & control
  • Diet*
  • Female
  • Food* / classification
  • Humans
  • Mali / epidemiology
  • Micronutrients / administration & dosage*
  • Nutrition Surveys
  • Nutritional Requirements
  • Poverty Areas
  • Prevalence
  • Risk Factors
  • Urban Population
  • Young Adult

Substances

  • Micronutrients