Sensitivity of food-based recommendations developed using linear programming to model input data in young Kenyan children

Karin J. Borgonjen-Van Den Berg*, Jeanne H.M. de Vries, Prosper Chopera, Edith J.M. Feskens, Inge D. Brouwer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and identified problem nutrients. We used 24 h dietary recalls of 62 Kenyan children (4–6 years of age) to analyse the sensitivity of the FBR and problem nutrients to (1) dietary intake data, (2) selection criteria applied to these data and (3) energy and nutrient requirement data, using linear programming (Optifood

Original languageEnglish
Article number3485
JournalNutrients
Volume13
Issue number10
DOIs
Publication statusPublished - 30 Sep 2021

Keywords

  • 24 h dietary recall
  • Consumption frequency
  • Food-based dietary guidelines
  • Linear programming
  • Low-and middle-income countries
  • Sensitivity analysis

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