- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02814604
FoodFLIP: Testing the Effectiveness of a Food Information App to Promote the Selection of Healthier Foods
Study Overview
Status
Conditions
Intervention / Treatment
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Ontario
-
Toronto, Ontario, Canada, M5S3E2
- University of Toronto
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Traffic Light
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 |
Behavioural: Nutrition Rating Systems (shown on a mobile app) provide consumers with an interpretation of the healthfulness of a food or beverage product.
Other Names:
|
Experimental: Health Star Rating System
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 |
Behavioural: Nutrition Rating Systems (shown on a mobile app) provide consumers with an interpretation of the healthfulness of a food or beverage product.
Other Names:
|
No Intervention: Control
Participants in this group will only see the Nutrition Facts Table (as it appears on the product's package) when the product is scanned in the app.
|
|
Experimental: High-in Warning Label
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 |
Behavioural: Nutrition Rating Systems (shown on a mobile app) provide consumers with an interpretation of the healthfulness of a food or beverage product.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The accurate characterization of healthfulness and nutritional content of foods as indicated by each intervention group will be compared.
Time Frame: 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.
|
6 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
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).
Time Frame: 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).
|
6 weeks
|
The health claims with or without additional labelling elements influence perceptions of healthiness and purchasing intentions will be compared between each FOP system.
Time Frame: 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.
|
6 weeks
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Mary R L'Abbe, Ph.D., University of Toronto
Publications and helpful links
General Publications
- Key TJ, Schatzkin A, Willett WC, Allen NE, Spencer EA, Travis RC. Diet, nutrition and the prevention of cancer. Public Health Nutr. 2004 Feb;7(1A):187-200. doi: 10.1079/phn2003588.
- Emrich TE, Qi Y, Mendoza JE, Lou W, Cohen JE, L'abbe MR. Consumer perceptions of the Nutrition Facts table and front-of-pack nutrition rating systems. Appl Physiol Nutr Metab. 2014 Apr;39(4):417-24. doi: 10.1139/apnm-2013-0304. Epub 2013 Oct 24.
- The Standing Committee on Health. Healthy Weights for Healthy Kids. 2007
- Committee on Examination of Front-of-Package Nutrition Rating Systems and Symbols (Phase II), Institute of Medicine. Front-of-Package Nutrition Rating Systems and Symbols: Promoting Healthier Choices. 2011 October 20.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 499174
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Diet, Food, and Nutrition
-
National Cancer Centre, SingaporeRecruitingDiet, Food and NutritionSingapore
-
Virginia Commonwealth UniversityUniversity of North Carolina, Chapel Hill; The University of Tennessee, Knoxville and other collaboratorsCompletedDiet, Food, and NutritionUnited States
-
Rob ErskineUniversity of East AngliaCompletedDiet, Food, and NutritionUnited Kingdom
-
Stanford UniversityCompletedDiet, Food and NutritionUnited States
-
Duke-NUS Graduate Medical SchoolNational Medical Research Council (NMRC), SingaporeCompletedDiet Modification | Food Preferences | Diet Habit | Food Selection | Nutrition PoorSingapore
-
DoubleGood ABstarScience GmbHCompletedGlycemic Control | Diet, Food and NutritionSweden
-
MRC Human Nutrition ResearchCompletedDietary Supplements | Diet, Food, and NutritionUnited Kingdom
-
Rob ErskineUniversity of East AngliaCompletedDiet | Nutrition | FoodUnited Kingdom
-
Purdue UniversityWake Forest University Health SciencesRecruitingDiet, Healthy | Food Habits | Nutrition, Healthy | HungerUnited States
-
University of Southern CaliforniaRecruitingEnteral Nutrition | Pancreatitis | Diet | Pancreatic Disease | Diet, Food, and NutritionUnited States
Clinical Trials on Nutrition Rating Systems
-
University of TorontoCompletedCardiovascular Diseases | Diet Modification | NutritionCanada
-
Rambam Health Care CampusUnknownStress Disorders, Post-Traumatic | Depressive Disorder, MajorIsrael
-
Peking University Sixth HospitalRecruitingDepression | Healthy | Insomnia | Attention DisturbancesChina
-
Penn State UniversityNational Center for Advancing Translational Sciences (NCATS)Recruiting
-
University College, LondonCompletedStroke | Auditory Processing Disorder, CentralUnited Kingdom
-
University GhentEnrolling by invitation
-
University Hospital, RouenCompletedPain | Cystic FibrosisFrance
-
Jessa HospitalCompletedScar | Minimally Invasive Cardiac SurgeryBelgium
-
Boston Scientific CorporationRecruitingChronic PainUnited States, Spain, France, Germany, United Kingdom, Australia, Italy, Netherlands, Puerto Rico, Sweden, Switzerland
-
Osprey Medical, IncEnrolling by invitationPatients at Risk for Developing Contrast-induced NephropathyUnited States