Cost-minimized nutritionally adequate food baskets as basis for culturally adapted dietary guidelines for ethiopians

Research output: Contribution to journalJournal articleResearchpeer-review

  • Abdi Bekele Gurmu
  • Esa Pekka A Nykänen
  • Fikadu Reta Alemayehu
  • Aileen Robertson
  • Parlesak, Alexandr

The high prevalence of undernutrition, especially stunting, in Ethiopia hampers the country’s economic productivity and national development. One of the obstacles to overcome undernutrition is the relatively high cost of food for low economic groups. In this study, linear programming was used to (i) identify urban and rural nutritionally adequate food baskets (FBs) with the highest affordability for an Ethiopian family of five and (ii) create urban and rural FBs, optimized for cultural acceptability, which are affordable for a family with the lowest income. Nutritionally adequate rural and urban FBs with highest affordability cost as little as Ethiopian Birr (ETB) 31 and 38 (~USD 1.07 and 1.31), respectively, but have poor dietary diversity (16 and 19 foods). FBs that cost ETB 71.2 (~USD 2.45) contained 64 and 48 foods, respectively, and were much more similar to the food supply pattern reported by FAO (15% and 19% average relative deviation per food category). The composed FBs, which are affordable for the greater part of the Ethiopian population, may serve as a basis for the development of culturally acceptable food-based dietary guidelines. These guidelines would recommend a diet composed of approximately up to 60% cereals, up to 20% roots and tubers, 10% legumes, and 10% fruits and vegetables by weight, plus only a small share from animal foods.

Original languageEnglish
Article number2159
JournalNutrients
Volume11
Issue number9
Number of pages17
ISSN2072-6643
DOIs
Publication statusPublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.

    Research areas

  • Cost of diet, Food accessibility, Food baskets, Linear programming, Malnutrition

ID: 317459173