Treffer: Application of linear programming in the development of complementary feeding recommendations: A systematic review.

Title:
Application of linear programming in the development of complementary feeding recommendations: A systematic review.
Authors:
Uzhir YA; Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia., Shariff ZM; Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia., Zalbahar N; Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia. Electronic address: nurzalinda@upm.edu.my.
Source:
Nutrition (Burbank, Los Angeles County, Calif.) [Nutrition] 2026 Feb; Vol. 142, pp. 112983. Date of Electronic Publication: 2025 Oct 02.
Publication Type:
Journal Article; Systematic Review; Review
Language:
English
Journal Info:
Publisher: Elsevier Science Country of Publication: United States NLM ID: 8802712 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1244 (Electronic) Linking ISSN: 08999007 NLM ISO Abbreviation: Nutrition Subsets: MEDLINE
Imprint Name(s):
Publication: Tarrytown, NY : Elsevier Science
Original Publication: [Burbank, Calif. : Nutrition, c1987-
Contributed Indexing:
Keywords: Complementary feeding recommendation; Infant and young children; Linear programming; Optimized diets
Entry Date(s):
Date Created: 20251102 Date Completed: 20251208 Latest Revision: 20251214
Update Code:
20251214
DOI:
10.1016/j.nut.2025.112983
PMID:
41176885
Database:
MEDLINE

Weitere Informationen

The use of linear programming (LP) to develop complementary food recommendations (CFRs) is gaining interest due to its ability to produce low-cost population-specific food-based recommendations (FBRs). This review aimed to identify the components of LP models commonly used in developing CFRs and summarize the evidence on the use of LP-developed CFRs as an intervention strategy. The databases PubMed, Science Direct, Scopus, Cochrane Library, Web of Science, and Google Scholar were searched for relevant articles. LP was used in twenty-six studies to develop CFRs for young children and in three studies LP-developed CFRs were applied to improving complementary feeding. The objective function varied across studies, such as to maximize nutrient content, minimize cost, minimize deviation between observed and modeled diets, and minimize multiple nutrient deficiencies. All studies applied nutritional and acceptability constraints. Individual intervention studies showed that LP-developed CFRs can improve children's nutrient intake and feeding practices, as well as mother's nutrition knowledge. Various applications of LP have been used to develop optimal infant diets. However, LP-developed CFRs as a nutrition intervention strategy have been used in only a few studies. Further robust research is needed to test LP-developed CFRs.
(Copyright © 2025 Elsevier Inc. All rights reserved.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.