在五岁以下儿童的饮食优化中使用线性编程方法:范围审查
Yee Xuen Miow1, Wilfred Kok Hoe Mok2, Wan Ying Gan3
1Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
BMC public health
|April 4, 2025
概括
线性编程模型表明,使用本地食品的饮食往往无法满足五岁以下儿童的微量营养素需求,特别是铁和. 需要具有成本效益的战略来改善儿童营养.
科学领域:
- 营养科学 营养科学
- 公共卫生 营养 公共卫生 营养
- 饮食建模 饮食建模
背景情况:
- 儿童的最佳生长和发育取决于适当的营养,特别是在5岁以下的儿童中.
- 线性编程 (LP) 是为这个年龄组制定基于食物的建议 (FBR) 的常用方法.
- 了解LP在优化当地食品饮食方面的有效性对于解决营养不足至关重要.
研究的目的:
- 审查线性编程 (LP) 在优化五岁以下儿童营养充足的饮食中的应用.
- 以优化当地食物摄入的建模技术来评估营养需求.
- 识别和比较模拟饮食中普遍存在的营养缺乏.
主要方法:
- 进行了范围审查,搜索了PubMed和Wiley数据库从2012年到2025年.
- 包含的研究的参考列表被选为其他相关的文章.
- 前向和后向引用搜索补充了数据库搜索.
主要成果:
- 包括14项研究,总结了LP的目标功能和FBR.
- 优化的饮食往往满足大多数营养需求,但缺铁和是常见的.
- 问题营养素因年龄而异,铁和对于婴儿和幼儿至关重要,而脂肪,,铁和对于年长的儿童至关重要.
结论:
- 包含本地食品的模拟饮食经常不足以满足微量营养素需求,特别是铁和.
- 在不同的地理和社会经济环境中,人们始终观察到饮食不足.
- 制定具有成本效益的策略对于提高幼儿饮食的营养充足度至关重要.
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