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在制定补充养建议时应用线性编程:系统性审查
Yasmina Ahmad Uzhir1, Zalilah Mohd Shariff1, Nurzalinda Zalbahar1
1Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
Nutrition (Burbank, Los Angeles County, Calif.)
|November 2, 2025
概括
线性编程 (LP) 优化了针对儿童的低成本补充食品建议 (CFR). 虽然有效改善营养摄入量和养习惯,但需要更多的研究来测试LP开发的CFR作为营养干预措施.
科学领域:
- 营养科学 营养科学
- 运营研究 运营研究
- 公共卫生 公共卫生
背景情况:
- 线性编程 (LP) 越来越多地用于具有成本效益的,针对特定人口的基于食品的建议 (FBR).
- 补充性食物建议 (CFR) 对儿童发育至关重要.
- 使用计算方法优化饮食是营养科学中一个不断增长的领域.
研究的目的:
- 审查用于开发CFR的LP模型的组件.
- 总结关于LP开发的CFR作为干预策略的有效性的证据.
- 确定关于LP在补充养中的应用研究中的差距.
主要方法:
- 在主要的科学数据库 (PubMed,Scopus,科学网等) 进行系统的文献搜索. ) 的情况.
- 分析了26项使用LP开发CFR的研究和3项应用LP开发CFR的研究.
- 对客观功能的评估 (例如,营养物质最大化,成本最小化) 和约束 (营养,可接受性).
主要成果:
- LP模型包含了各种客观功能和标准的营养/可接受性约束.
- 干预研究表明,LP开发的CFR改善了儿童的营养摄入量和养习惯.
- 母亲的营养知识在干预研究中也有所改善.
结论:
- LP是创建最佳婴儿和儿童饮食的多功能工具.
- 在LP开发的CFR显示了改善儿童营养和母亲知识的前景.
- 需要进一步进行严格的研究,以建立LP开发的CFR作为广泛适用的营养干预策略.
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