Trial reportRevista de saude publica2021
Performance and perception on front-of-package nutritional labeling models in Brazil.
Trial report in Revista de saude publica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Effects of front-of-package nutrition labelling systems on objective understanding and purchase intention in El Salvador: results from a multi-arm parallel-group randomised controlled trial.European journal of nutrition · 2025Trial
- "Warning: ultra-processed": an online experiment examining the impact of ultra-processed warning labels on consumers' product perceptions and behavioral intentions.The international journal of behavioral nutrition and physical activity · 2024Trial
- Effects of front-of-package nutrition labelling systems on objective understanding and purchase intention in Panama: results from a multi-arm parallel-group randomised controlled trial.Public health nutrition · 2024Trial
- Trial
- Effectiveness of Displaying Traffic Light Food Labels on the Front of Food Packages in Japanese University Students: A Randomized Controlled Trial.International journal of environmental research and public health · 2023Trial
- A comparative assessment of two different front-of-package nutrition label designs: A randomized experiment in Brazil.PloS one · 2022Trial
- Nutrition Label Reading and Understanding, Food Advertising Exposure, and Excess Weight Among Brazilian Adults: A Cross-Sectional Study.Nutrients · 2026Article
- Evidence on consumers' perceptions, understanding and uses of the Nutri-Score to improve communication about its update: a qualitative study with shopping observations in France.BMC public health · 2024Article
- Perception, Knowledge, and Consumption Potential of Crude and Refined Palm Oil in Brazilian Regions.Foods (Basel, Switzerland) · 2024Article
- How Promising Are "Ultraprocessed" Front-of-Package Labels? A Formative Study with US Adults.Nutrients · 2024Article
- How Interdisciplinary Interventions Can Improve the Educational Process of Children Regarding the Nutritional Labeling of Foods.Foods (Basel, Switzerland) · 2023Article
- Primordial prevention: Reducing consumption of sugar-sweetened beverages in racial/ethnic populations.American heart journal plus : cardiology research and practice · 2023Article
- Ultra-processed foods and the nutritional transition among infants and young children: a radiography from Brazil.Cadernos de saude publica · 2023Article
- Review
- Guideline Daily Amounts Versus Nutri-Score Labeling: Perceptions of Greek Consumers About Front-of-Pack Label.Cureus · 2022Article
- Perception and Understanding of Guideline Daily Amount and Warning Labeling among Mexican Adults during the Law Modification Period.Nutrients · 2022Article
- Influence of nutrition claims on different models of front-of-package nutritional labeling in supposedly healthy foods: Impact on the understanding of nutritional information, healthfulness perception, and purchase intention of Brazilian consumers.Frontiers in nutrition · 2022Article
- From the most to the least flexible nutritional profile: Classification of foods marketed in Brazil according to the Brazilian and Mexican models.Frontiers in nutrition · 2022Article
- Comparison of two front-of-pack nutrition labels for Brazilian consumers using a smartphone app in a real-world grocery store: A pilot randomized controlled study.Frontiers in nutrition · 2022Article
- How Do Nutritional Warnings Work on Commercial Products? Results From a Hypothetical Choice Experiment.Frontiers in nutrition · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the performance and perception of five models of front-of-package nutrition labeling (FOPNL) among Brazilian consumers.
methodsCross-sectional study, which applied an online questionnaire to 2,400 individuals, allocated randomly into six study groups: a control group and five others exposed to FOPNL (octagon, triangle, circle, magnifier and traffic light), applied to nine products. We evaluated the understanding of nutritional content, the perception of healthiness, the purchase intention and the perception of Brazilian consumers on the models.
resultsAll FOPNL models increased the understanding of the nutritional content and reduced the perception of healthiness and purchase intention, when compared with the control group (41.3%). FOPNL warning models - octagon (62.4%), triangle (61.9%) and circle (61.8%) - performed significantly better than the traffic light (55.0%) regarding the understanding of the nutritional content. The performance of the magnifier (59.5%) was similar to the other four tested models, including the traffic light (55.0%), for understanding nutritional content. The individual analysis of the products suggests a better performance of warnings in relation to the magnifier and the traffic light for the perception of healthiness and purchase intention. Consumers were favorable to the presence of FOPNL, perceiving it as reliable to increase the understanding to nutritional information.
conclusionFOPNL must be implemented on food labels in Brazil, considering that it increases the nutritional understanding, reduces the perception of healthiness and the purchase intention of products with critical nutrients. Warnings showed a better performance when compared with other models.
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