Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Medical Science Building, 1 King's College Circle, Room 5368, Toronto, ON, M5S 1A8, Canada.
School of Public Health and Health Systems, University of Waterloo, Waterloo, N2L 3G1, Canada.
Int J Behav Nutr Phys Act. 2020 Feb 12;17(1):22. doi: 10.1186/s12966-020-0923-1.
Food labelling is a common intervention to improve diets, where the back-of-pack Nutrition Information Panel (or Nutrition Facts table (NFt)) provides comprehensive nutrition information on food packages. However, many consumers find it difficult and time-consuming to identify healthier foods using the NFt. As a result, different interpretative nutrition rating systems (INRS) may enable healthier food choices and it is essential that consumers have the tools to allow for easily accessible nutrition information. The objective of this study was to examine consumers' perceptions of different (INRS) for delivery of nutrition information using different versions of a smartphone app, FoodFlip©.
This study was part of a larger randomized controlled trial examining consumer perceptions of different INRS on food products. A nationally representative commercial sample of 2008 Canadians were randomized to one of four INRS intervention groups: 1) traffic light, 2) health star rating, 3) 'high-in' warning labels or 4) no INRS (NFt only; control) and asked to scan or enter 20 products into FoodFlip© from a list of food products provided to them with varying levels of healthfulness. After completing the app task, participants were asked a series of 7-point Likert-scale and open-ended questions to provide opinions on the usability and functionality of the app.
Of the survey sample of 1997 participants, 95% (n = 1907) completed the app task, with similar number of participants in each treatment group. The mean age was 40 ± 12 years with no differences in sociodemographic characteristics between treatment groups. The health star rating ranked significantly lower in comparison to the other treatment groups in terms of usefulness (OR, 95% CI -0.67, 0.52-0.85), believability (0.59, 0.46-0.75), and understanding (0.55, 0.44-0.71) (p < 0.001). The health star rating (1.20, 0.94-1.53) and control (NFt) (1,1,1) ranked significantly lower than the traffic light or the 'high-in' warning labels for their ability to compare the healthfulness of products (p < 0.001).
This study demonstrated Canadian consumers' preference for a nutrient-specific system (i.e. traffic light or 'high-in' warning labels). The app, which was liked by majority of the participants for its functionality and usability, has the potential to support healthy dietary decision making and may also encourage reformulation.
NCT03290118 (Clinicaltrials.gov).
食品标签是改善饮食的常见干预措施,其中包装背面的营养信息面板(或营养成分表(NFt))提供了有关食品包装的综合营养信息。然而,许多消费者发现使用 NFt 识别更健康的食物既困难又耗时。因此,不同的解释性营养评级系统(INRS)可能有助于做出更健康的食物选择,而消费者必须拥有易于获取营养信息的工具。本研究的目的是检查消费者对使用不同智能手机应用程序(FoodFlip©)版本提供的不同(INRS)传递营养信息的看法。
本研究是一项更大的随机对照试验的一部分,该试验检查了消费者对不同 INRS 对食品产品的看法。从提供给他们的一系列食品产品中,对 2008 名加拿大全国代表性商业样本进行随机分组,分为以下四个 INRS 干预组之一:1)交通灯,2)健康星级评级,3)“高”警告标签或 4)无 INRS(仅 NFt;对照组),并要求他们扫描或输入 20 种产品到 FoodFlip©中,这些产品是根据健康程度从提供给他们的产品列表中选择的。完成应用程序任务后,参与者被要求回答一系列 7 分李克特量表和开放式问题,以提供对应用程序可用性和功能的意见。
在调查样本的 1997 名参与者中,有 95%(n=1907)完成了应用程序任务,每个治疗组的参与者数量相似。平均年龄为 40±12 岁,治疗组之间的社会人口统计学特征没有差异。与其他治疗组相比,健康星级评级在有用性(OR,95%CI -0.67,0.52-0.85)、可信度(0.59,0.46-0.75)和理解度(0.55,0.44-0.71)方面的排名明显较低(p<0.001)。健康星级评级(0.59,0.46-0.75)和对照组(NFt)(1,1,1)在比较产品健康度方面的排名明显低于交通灯或“高”警告标签(p<0.001)。
本研究表明,加拿大消费者更喜欢特定营养素的系统(即交通灯或“高”警告标签)。该应用程序因其功能和可用性而受到大多数参与者的喜爱,它有可能支持健康的饮食决策,并且还可能鼓励配方改革。
NCT03290118(Clinicaltrials.gov)。