一个整合性的分析框架来识别健康,有影响力和公平的食物:对100%汁的案例研究
Josh Erndt-Marino1, Meghan O'Hearn2,3, Giulia Menichetti4
1Bespoke Analytics, LLC, Tallahassee, FL, USA.
International journal of food sciences and nutrition
|August 7, 2023
概括
一个集成营养成分分析系统 (NPS) 的新元框架有助于识别健康食品. 例如,汁可以将美国水果指南的遵守率提高10%,在人口统计学上产生不同的影响.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 饮食评估 饮食评估
背景情况:
- 现有的营养成分分析系统 (NPS) 在健康评估方面存在差异.
- 在不同的人群中评估饮食指南的遵守是复杂的.
- 定义食物选择对健康的公平影响需要综合框架.
研究的目的:
- 开发一个集成的元框架,结合多个营养成分分析系统 (NPS).
- 通过使用一种新的框架,评估特定食物对遵守饮食指南的影响.
- 调查食品选择对健康益处的社会人口学变化.
主要方法:
- 从六个不同的营养成分分析系统 (NPS) 的结合得分,将其整合到一个元框架 (meta-NPS) 中.
- 利用多层次回归和分层后分析来评估饮食准则的遵守.
- 使用100%的汁 (OJ) 进行了一项案例研究,以证明该框架的实用性.
主要成果:
- 超级NPS系统地获得了100%的汁 (OJ) 高分 (超级分数百分比 = 93,稳定百分比 = 75).
- 果汁消费与美国饮食水果指南的遵守率大约增加10%有关.
- 在300个社会人口结构层面上,OJ对遵守的好处有很大差异.
结论:
- 开发的适应性,整合性框架有助于推进营养成分分析和饮食指南遵守科学.
- 该研究强调了特定食物选择对健康的微妙,公平的影响.
- 超级NPS提供了一个强大的工具,用于识别健康,有影响力和公平的食物.
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