一个由三个组成部分组成的早餐质量评分 (BQS),用于评估早餐餐的营养密度
Romane Poinsot1, Matthieu Maillot1, Gabriel Masset2
1MS-Nutrition, Marseille, France.
Frontiers in nutrition
|October 16, 2023
概括
开发了一种新的早餐质量评分 (BQS),以评估食的营养密度. 这个分数有效地排名了早餐,包含营养物质来限制和鼓励,增强成人饮食评估.
科学领域:
- 营养科学 营养科学
- 饮食评估 饮食评估
- 公共卫生 营养 公共卫生 营养
背景情况:
- 营养成分分析方法对于评估食品和食的营养质量至关重要.
- 评估复合餐的营养密度,如早餐,具有独特的挑战.
- 现有的方法可能无法充分捕捉到早餐餐的复杂营养特征.
研究的目的:
- 开发和验证一种新的早餐质量评分 (BQS),用于评估早餐的营养密度.
- 建立一个基于国际早餐研究倡议 (IBRI) 建立的营养标准的评分系统.
- 创建一个灵活的工具,可以适应不同程度的营养数据可用性.
主要方法:
- 使用三个子分数开发了BQS:eLIMf (能量,和脂肪,自由糖,),PF (蛋白质,纤维) 和VMn (1-14微量营养素).
- 研究了四种分分数的权重模型,并使用法国INCA3饮食调查数据对营养丰富食品指数 (NRF9.3) 进行了测试.
- 用三个法国早餐原型 (tartine,三明治,谷物) 评估了BQS灵敏度.
主要成果:
- 在纳入VMn (n>3) 与PF和eLIMf一起的模型中,与NRF9.3.3的相关性得到改善.
- 一个最终的BQS模型,对 (PF+VMn) 和eLIMf进行同等加权 (50%),表明与NRF9.3.3的相关性最高.
- BQS有效地区分了原型早餐的营养质量.
结论:
- 开发的BQS可靠地根据营养建议对早餐餐的营养密度进行排名.
- BQS综合了有益的营养素和限制的营养素,提供了全面的营养评估.
- 灵活的VMn分数增强了BQS对各种饮食数据场景的适应性.
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