Kikuta Carolina, Borges Camila Aparecida, Duran Ana Clara
Graduate Program in Public Health, Faculty of Medical Sciences, University of Campinas, São Paulo, Brazil.
Center for Epidemiological Studies in Nutrition and Health, University of São Paulo, São Paulo, Brazil.
Front Nutr. 2024 Feb 7;11:1308110. doi: 10.3389/fnut.2024.1308110. eCollection 2024.
The monitoring of nutrition and health claims on food and beverage labels has been proposed by international and national organizations because it can collaborate with the development of public policies to regulate food labeling and marketing strategies. One way of carrying out this monitoring is by using data collected by private companies.
To compare information on nutrition and health claims available in a commercial database of a private company that monitors the launch of new foods and beverages in Brazilian food retailers with information on those same claims manually coded by trained research assistants.
This is a cross-sectional observational study using a data sample of newly launched food and beverages available at a commercial database from 2018 to 2021. We compared the information on health and nutrition claims available on the commercial dataset with reliable information on the same nutrition and health claims manually coded by trained research assistants using a tested taxonomy to classify such claims. We used Gwet's Kappa AC1 with 95% CI and percentage agreement to compare both data sources and calculated sensitivity and specificity of the compared data.
A total of 6,722 foods and beverages were analyzed. Mintel-GNPD presented 36.28% ( = 2,439) of nutrition claims, while in the trained researchers' coding, it was 33.73% ( = 2,267). We found a prevalence of 5.4% ( = 362) for health claims in Mintel-GNPD and 10.8% ( = 723) in the researchers' coding. All subcategories of nutrition and health claims showed high agreement (Kappa >0.81). Health claims presented kappa = 0.89 with 33.7% sensitivity and 98.0% specificity while nutrition claims showed kappa = 0.86 with 92.9% sensitivity and 92.5% specificity.
Nutrition and health claims showed high agreement, with great results in nutrition claims, indicating that Mintel-GPND is suitable for monitoring such claims on food and beverage packaging in Brazil. Additionally, our findings show a high prevalence of nutrition and health claims on food packages launched in the Brazilian food retail, highlighting the need to monitor these to develop public policies to regulate food marketing on packaging in Brazil.
国际和国家组织提议对食品和饮料标签上的营养与健康声明进行监测，因为这有助于制定公共政策来规范食品标签和营销策略。开展这种监测的一种方法是利用私营公司收集的数据。
比较一家监测巴西食品零售商新食品和饮料上市情况的私营公司商业数据库中有关营养与健康声明的信息，与由训练有素的研究助理手动编码的相同声明的信息。
这是一项横断面观察性研究，使用了2018年至2021年一家商业数据库中新增上市食品和饮料的数据样本。我们将商业数据集中有关健康和营养声明的信息，与训练有素的研究助理使用经过测试的分类法对手动编码的相同营养和健康声明的可靠信息进行了比较。我们使用带有95%置信区间的Gwet's Kappa AC1和百分比一致性来比较这两个数据源，并计算比较数据的敏感性和特异性。
共分析了6722种食品和饮料。英敏特全球新产品数据库（Mintel-GNPD）显示36.28%（n = 2439）的营养声明，而在训练有素的研究人员编码中为33.73%（n = 2267）。我们发现英敏特全球新产品数据库中健康声明的患病率为5.4%（n = 362），研究人员编码中的患病率为10.8%（n = 723）。营养和健康声明的所有子类别都显示出高度一致性（Kappa>0.81）。健康声明的kappa值为0.89，敏感性为33.7%，特异性为98.0%，而营养声明的kappa值为0.86，敏感性为92.9%，特异性为92.5%。
营养和健康声明显示出高度一致性，营养声明结果良好，表明英敏特全球新产品数据库（Mintel-GPND）适用于监测巴西食品和饮料包装上的此类声明。此外，我们的研究结果表明，巴西食品零售中推出的食品包装上营养和健康声明的患病率很高突出了监测这些声明以制定公共政策来规范巴西包装食品营销的必要性。
