FoodFLIP: Testing the Effectiveness of a Food Information App to Promote the Selection of Healthier Foods
- Conditions
- Consumer BehaviorDiet, Food, and Nutrition
- Interventions
- Other: Nutrition Rating Systems
- Registration Number
- NCT02814604
- Lead Sponsor
- University of Toronto
- Brief Summary
There is a lot of confusion when it comes to understanding nutrition information on food packages, thus making it difficult for consumers to choose healthy products. In today's busy and fast-paced shopping environment, mobile digital technology (for example, Smartphone applications) can help consumers make 'healthier' food choices when they are shopping. This study aims to test the effectiveness of a traffic light front-of-pack system, the Health Star Rating System (HSR or Star System), and the proposed sodium, saturated fat and sugar warning labels proposed by Health Canada. The study will also experimentally test the use of a Smartphone application (app), FoodFlip, to help educate consumers on these systems on food packages to explore the impact of a learning effect on the efficacy of the labelling systems.
- Detailed Description
The rising rate of obesity and diet-related chronic diseases illustrate that Canadians' eating habits need to change. Equipping Canadians with information and tools to enable healthy food choices that decrease risk for disease is imperative. While the Nutrition Facts table (NFt) is the most standardized and complete form of nutrition labelling, studies have shown that consumers are confused about serving size, nutrient quantities, and the interpretation of the % Daily Value. Thus, expert groups have proposed the introduction of interpretive front-of-pack (FOP) nutrition rating systems (e.g. traffic light labelling or star ratings) that also help consumers understand the significance of the levels of nutrients in relation to the "healthiness" of a food. One of the main barriers to the introduction of such a system is the absence of high quality studies that objectively measure the impact of nutrition information on actual food purchases. This is a consequence of both the practical challenges associated with designing and conducting such studies in 'real-world' settings, and the lack of food industry support to quantitatively examine or publish the potential for enhanced nutrition labels to modify consumer food choices. With the growing burden of diet-related disease, there is an urgent need for robust evidence to evaluate the potential for additional interpretive nutrition labelling systems to modify and improve food purchasing patterns. Given the relative ubiquity of mobile digital technologies, our Canadian Smartphone application (FoodFLIP) provides us with an unprecedented opportunity to examine and improve consumers' diets.
This study will investigate whether a traffic light, a health star rating or a high-in warning label FOP system can help consumers identify and purchase healthier foods.
Objective 1: To evaluate the effects of three FOP systems in helping consumers characterize healthfulness and nutritional content of food items.
Objective 2: To determine which of the three FOP systems support healthier food choices and are preferred by Canadian consumers.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 2008
- Shop at a supermarket owned by one of the largest four national retailers at least twice a month. This includes Loblaws, Sobeys, Metro or Safeway
- Own a smartphone (iPhone version 3 or later or android)
- Are 18 years or over and provide informed consent to participate
- Reside in Canada, excluding Northern Territories
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Health Star Rating System Nutrition Rating Systems Participants in this group will download an app which features the nutrition information of the selected product in a form of 0-5 stars to provide an overall "healthy" rating. The Health Star Rating provides a rating for all products and products not meeting the criteria still carry the symbol (with no colored stars). In addition, a list of healthier similar products will appear on screen to facilitate comparisons. Intervention: Device:Smartphone, Behavioural: Nutrition Rating Systems Traffic Light Nutrition Rating Systems Participants in this group will download an app which features the nutrition information of the selected product in a multiple coloured traffic light format (i.e. the traffic light system shows a coloured round indicator for each of saturated fat, sugar, and sodium; shaded red (high), amber (medium) or green (low), according to thresholds set for each nutrient). In addition, a list of healthier similar products will appear on screen to facilitate comparisons. Intervention: Device:Smartphone, Behavioural: Nutrition Rating Systems High-in Warning Label Nutrition Rating Systems Participants in this group will download an app which features the nutrition information of the selected product in a 'high-in' warning label format (i.e. stop signs for each of saturated fat, sugar, and sodium; according to thresholds set for each nutrient). In addition, a list of healthier similar products will appear on screen to facilitate comparisons. Intervention: Device:Smartphone, Behavioural: Nutrition Rating Systems
- Primary Outcome Measures
Name Time Method The accurate characterization of healthfulness and nutritional content of foods as indicated by each intervention group will be compared. 6 weeks In the first series of experimental tasks, participants will be exposed to an image of a food package with the assigned FOP nutrition information and NFt. Participants will be asked to rate the products on how likely they would be to purchase the product, overall healthiness, and the relative amount of specific nutrients in the product (e.g., if the product contains a little or a lot of sodium) using a Likert scale. In the second series of tasks, participants will be shown 5 similar products side by side (5 breakfast cereals, 5 yogurts and 5 pasta dinners). Participants will be asked to rank the products from MOST HEALTHY to LEAST HEALTHY, and which product they would select if they were trying to consume a low sodium, low energy or high fibre diet.
- Secondary Outcome Measures
Name Time Method A qualitative assessment of the functionality and usability of the smartphone app (FoodFLIP) will be assessed through questionnaires on a 5-point Likert Scale (the percentage of users finding the app easy to use/easy to understand etc). 6 weeks The functionality and usability of the smartphone app is assessed through questionnaires (e.g easy to use, easy to understand etc). Responses on these questionnaires are scaled using a five-point Likert-scale and scores for each question are recorded separately to assess the usability of the smartphone app (e.g 1 least liked to 5 most liked).
The health claims with or without additional labelling elements influence perceptions of healthiness and purchasing intentions will be compared between each FOP system. 6 weeks Participants will be randomized to see products with symbolic and textual health and/or nutrition claims. Participants will first be shown an image with or without claims for 10 seconds (this is slightly longer than the average time an individual spends viewing a product in a food store when making a purchasing decision). The image will then be removed from the screen, and participants will be asked to recall the presence and content of the claim. The image will then be returned to the screen and participants will be asked to rate how healthy the product is and to rate how likely they would be to purchase the product.
Trial Locations
- Locations (1)
University of Toronto
🇨🇦Toronto, Ontario, Canada