4.7 Article

Identifying Dietary Strategies to Improve Nutrient Adequacy among Ethiopian Infants and Young Children Using Linear Modelling

期刊

NUTRIENTS
卷 11, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/nu11061416

关键词

complementary food; Optifood analysis; nutrient adequacy; food-based dietary recommendations; Ethiopia

资金

  1. Nutrition International through a grant of Global Affairs Canada [10-1569-ETHNIS-01]
  2. Netherlands NUFFIC Foundation [CF8768/2013]

向作者/读者索取更多资源

Nutrient adequacy of young children's diet and best possible strategies to improve nutrient adequacy were assessed. Data from the Ethiopian National Food Consumption Survey were analysed using Optifood (software for linear programming) to identify nutrient gaps in diets for children (6-8, 9-11 and 12-23 months), and to formulate feasible Food-Based Dietary Recommendations (FBDRs) in four regions which differ in culture and food practices. Alternative interventions including a local complementary food, micronutrient powders (MNPs), Small quantity Lipid-based Nutrient Supplement (Sq-LNS) and combinations of these were modelled in combination with the formulated FBDRs to compare their relative contributions. Risk of inadequate and excess nutrient intakes was simulated using the Estimated Average Requirement cut-point method and the full probability approach. Optimized local diets did not provide adequate zinc in all regions and age groups, iron for infants <12 months of age in all regions, and calcium, niacin, thiamine, folate, vitamin B12 and B6 in some regions and age-groups. The set of regional FBDRs, considerably different for four regions, increased nutrient adequacy but some nutrients remained sub-optimal. Combination of regional FBDRs with daily MNP supplementation for 6-12 months of age and every other day for 12-23 months of age, closed the identified nutrient gaps without leading to a substantial increase in the risk of excess intakes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据