Trial reportNutrients2017
Effects of Different Types of Front-of-Pack Labelling Information on the Healthiness of Food Purchases-A Randomised Controlled Trial.
Trial report in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 60 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomized Controlled Trial Using FoodFlip©, a Mobile Phone App, to Promote Healthier Diets and Food Choices Among Post-Secondary Students
Effect of a Digital Educational Intervention About the Front of Package Labeling of Industrialized Foods and Beverages on the Selection and Purchase of Products in Mexican Caregivers and Schoolchildren.
Who cites it
60 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Calorie (energy) labelling for changing selection and consumption of food or alcohol.The Cochrane database of systematic reviews · 2025Pooled it
- Effectiveness and Feasibility of Taxing Salt and Foods High in Sodium: A Systematic Review of the Evidence.Advances in nutrition (Bethesda, Md.) · 2020Pooled it
- A Meta-Analysis of Food Labeling Effects on Consumer Diet Behaviors and Industry Practices.American journal of preventive medicine · 2019Pooled it
- The impact of the Change4Life Food Scanner app on children's diets and parental psychological outcomes: a randomised pilot and feasibility study.BMC public health · 2025Trial
- Consumer Reactions to Positive and Negative Front-of-Package Food Labels.American journal of preventive medicine · 2023Trial
- Labels Affect Food Choices, but in What Ways?Nutrients · 2022Trial
- Front-of-Package Labels on Unhealthy Packaged Foods in India: Evidence from a Randomized Field Experiment.Nutrients · 2022Trial
- Health Literacy, Numeracy, and Health Promotion: A Secondary Analysis of the Choosewell 365 Workplace Trial.American journal of preventive medicine · 2022Trial
- Exploring the effects of added sugar labels on food purchasing behaviour in Australian parents: An online randomised controlled trial.PloS one · 2022Trial
- A comparative assessment of two different front-of-package nutrition label designs: A randomized experiment in Brazil.PloS one · 2022Trial
- Trial
- A randomized controlled trial examining consumers' perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information.The international journal of behavioral nutrition and physical activity · 2020Trial
- Food-environment policies for child nutrition in Ecuador and Latin America: beyond front-of-package labels and advertising restrictions.Lancet regional health. Americas · 2026Review
- Socio-demographic and behavioral factors associated with nutrition-label reading among Saudi adults: insights from a theory of planned behavior approach.BMC nutrition · 2026Article
- Which front-of-pack nutritional label (FOPNL) is most effective in promoting healthier dietary choices? An experimental study in Indonesia.BMJ public health · 2026Article
- Review
- Designing Front-of-Package Labels to Inform Consumers and Encourage Healthier Food Choices in Bangladesh: A Qualitative Study.Nutrients · 2024Article
- Global Trends and Research Collaborations on Food and Beverages Warning Labels: A Bibliometric Analysis.Nutrients · 2024Article
- Global overview of government-endorsed nutrition labeling policies of packaged foods: a document review.Frontiers in public health · 2024Review
- Effects of immediate and distant health consequences: different types of health warning messages on sweets affect the purchase probability.BMC public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFront-of-pack nutrition labelling may support healthier packaged food purchases. Australia has adopted a novel Health Star Rating (HSR) system, but the legitimacy of this choice is unknown.
objectiveTo define the effects of different formats of front-of-pack labelling on the healthiness of food purchases and consumer perceptions.
designIndividuals were assigned at random to access one of four different formats of nutrition labelling-HSR, multiple traffic light labels (MTL), daily intake guides (DIG), recommendations/warnings (WARN)-or control (the nutrition information panel, NIP). Participants accessed nutrition information by using a smartphone application to scan the bar-codes of packaged foods, while shopping. The primary outcome was healthiness defined by the mean transformed nutrient profile score of packaged foods that were purchased over four weeks.
resultsThe 1578 participants, mean age 38 years, 84% female recorded purchases of 148,727 evaluable food items. The mean healthiness of the purchases in the HSR group was non-inferior to MTL, DIG, or WARN (all
conclusionsThese real-world data align with experimental findings and provide support for the policy choice of HSR. Recommendation/warning labels warrant further exploration, as they may be a stronger driver of healthy food purchases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.