Proxy measures of household food consumption for food security assessment and surveillance: comparison of the household dietary diversity and food consumption scores

Public Health Nutr. 2010 Dec;13(12):2010-8. doi: 10.1017/S136898001000145X. Epub 2010 Jul 6.

Abstract

Objective: To provide an overview of the household dietary diversity score and the food consumption score, two indicators used for food security assessment and surveillance, and compare their performance in food security assessments in three countries.

Design: Cross-sectional cluster sampling design using an interview-administered structured questionnaire on household food security, including household-level food group consumption measured over 1 d and 7 d.

Setting: Survey data are from Burkina Faso, Lao People's Democratic Republic (Lao PDR) and northern Uganda.

Subjects: Households in Burkina Faso (n 3640), Lao PDR (n 3913) and northern Uganda (n 1956).

Results: Spearman's correlation coefficients between the scores were 0·73 in Burkina Faso, 0·65 in Lao PDR and 0·53 in northern Uganda. Prevalence-adjusted kappa coefficients showed substantial strength of agreement in two countries. The proportion of agreement between the two scores ranged from 85 % in Lao PDR to 65 % in northern Uganda. Dietary profiles based on food group consumption using score tertiles were comparable. Rankings of the most food-insecure areas within a country corresponded well in northern Uganda and Burkina Faso but not in Lao PDR. Both indicators showed moderate correlations with other proxy measures of food security.

Conclusions: The comparative study highlights the similarities and differences between the food consumption and household dietary diversity scores. Similar classification of the most food-insecure areas within sub-national levels was obtained. The choice of indicator for food security assessment and surveillance will vary depending on user needs.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Burkina Faso
  • Cluster Analysis
  • Cross-Sectional Studies
  • Developing Countries / statistics & numerical data
  • Diet / psychology
  • Diet / statistics & numerical data*
  • Family Characteristics*
  • Food Supply / statistics & numerical data*
  • Humans
  • Laos
  • Poverty
  • Surveys and Questionnaires
  • Uganda