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使用商业数据集来提取有关营养成分的信息,用于政策评估目的
Beatriz Silva Nunes1,2, Camila Aparecida Borges3,4, Mariana Fagundes Grilo2,5
1Graduate Program in Collective Health, School of Medical Sciences, https://ror.org/04wffgt70University of Campinas, Campinas, Brazil.
Public health nutrition
|December 23, 2025
概括
来自商业数据库 (Mintel-GNPD) 的营养数据与巴西超加工食品 (UPF) 的食品标签数据库 (BFLD) 密切匹配. 这表明,Mintel-GNPD适用于评估巴西的粮食政策和监测食品成分.
科学领域:
- 营养科学 营养科学
- 粮食政策评估 粮食政策评估
- 公共卫生 营养 公共卫生 营养
背景情况:
- 评估商业营养数据库的适用性对于稳健的粮食政策评估至关重要.
- 巴西的食品环境需要可靠的数据进行监测和政策合规性验证.
研究的目的:
- 评估Mintel-全球新产品数据库 (GNPD) 适用于巴西政策评估.
- 为了比较Mintel-GNPD和巴西食品标签数据库 (BFLD) 之间的营养成分和超加工食品 (UPF) 的比例.
主要方法:
- 使用Nova分类对Mintel-GNPD和BFLD的包装食品和饮料数据进行比较.
- 使用统计测试 (配对t测试,威尔科森-曼-惠特尼,ICC) 对能量,宏观营养素和纤维相匹配的产品进行营养分析.
主要成果:
- 在这两组数据中,超加工食品 (UPF) 的比例相似.
- 优良的相关性 (ICC>0.80) 和没有显著的平均差异对大多数营养之间的匹配产品.
- 在特定的UPF子类别中观察到纤维和脂肪含量的轻微差异.
结论:
- Mintel-GNPD数据集在UPF分布和营养成分方面与BFLD有很强的一致性.
- Mintel-GNPD是巴西监测和评估食品标签政策的合适资源.
- 该数据库可以帮助研究食品零售成分和政策合规性验证.
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