提高对食品标签理解的建议之一是实施包装前营养标签(FoPNL),营养信息客观地提供给消费者。关于巴西人口采用的最佳FoPNL模型的科学数据仍在出现,特别是在现实世界的购买情况。本研究旨在评估/比较拟议的巴西和墨西哥FoPNL系统,在不同的结果衡量标准上,使用应用程序,在超市过道里有乳制品。这项针对现实世界购买情况的试点随机对照试验于2021年6月/7月进行。共有230名参与者被随机分配到三个研究组之一(墨西哥和巴西FoPNL系统或控制营养信息表和成分列表)。使用智能手机,参与者扫描了产品条形码,并收到了分配的FoPNL(包含有关过量添加糖的信息,钠,和/或饱和脂肪含量)或对照。之后,他们回答了与我们的主要结果(决定购买或不购买产品)和次要结果(感知健康,促进快速购买决策,和过量营养素的识别)。墨西哥FoPNL系统在主要结果(3.74±1.34)和“促进快速购买决策”(3.59±1.31)方面表现更好,与对照组相比(3.28±1.45;p=0.043和3.11±1.42;p=0.029)。墨西哥FoPNL系统在支持消费者识别乳制品方面表现更好,在本研究的选定样本中,糖的添加量比对照高(正确答案的82.2%和63.5%,分别为;p=0.009)。对于饱和脂肪,巴西FoPNL的正确答案为93.1%,对照组为48.2%,墨西哥系统为58.9%(p≤0.001)。墨西哥FoPNL系统促进了消费者对何时购买或不购买选定乳制品的决策,并帮助快速决定购买哪种乳制品,在本研究的选定样本中,与对照相比。考虑到关键营养素是否过量的正确答案,这两种型号的FoPNL,由智能手机应用程序提供,表现良好。
One of the suggestions for improving the understanding of food labels is implementing front-of-pack nutrition labeling (FoPNL), where nutritional information is objectively made available to consumers. Scientific data on the best FoPNL model to be adopted for the Brazilian population is still emerging, especially in real-world purchase situations. This study aims to evaluate/compare the proposed Brazilian and Mexican FoPNL systems, on different outcome measures, using an application, in dairy foods available in a supermarket aisle. This pilot randomized controlled trial in a real-world purchase situation was conducted in June/July 2021. A total of 230 participants were randomly allocated to one of the three study arms (Mexican and Brazilian FoPNL systems or control-nutritional information table and ingredients list). Using a smartphone, the participants scanned a product barcode and received the allocated FoPNL (with information about excessive added sugars, sodium, and/or saturated fat content) or the control. After, they answered questions related to our primary outcome (decision to buy or not to buy a product) and secondary outcomes (perceived healthiness, facilitation of a quick purchase decision, and identification of excess nutrients). The Mexican FoPNL system performed better in the primary outcome (3.74 ± 1.34) and \"facilitation of a quick purchase decision\" (3.59 ± 1.31), compared to the control (3.28 ± 1.45;p = 0.043 and 3.11 ± 1.42; p = 0.029). The Mexican FoPNL system performed better in supporting consumers to identify dairy foods, among the selected sample in this study, high in added sugars than the control (82.2% and 63.5% of correct answers, respectively; p = 0.009). For saturated fats, the Brazilian FoPNL resulted in 93.1% of correct answers against 48.2% for the control and 58.9% for the Mexican system (p ≤ 0.001). The Mexican FoPNL system facilitated consumer decision-making on when to buy or not to buy a selected dairy product and in helping to quickly decide which dairy products to buy, among the selected sample in this study, compared to the control. Considering the right answers of critical nutrients in excess or not, both models of FoPNL, delivered by a smartphone app, performed well.