Abstract:OBJETIVO: Avaliar o desempenho e a percepção de cinco modelos de rotulagem nutricional frontal (RNF) entre consumidores brasileiros. MÉTODOS: Estudo transversal, com aplicação de questionário online a 2.400 indivíduos, alocados de forma aleatória em seis grupos de estudo, sendo um controle e cinco expostos a modelos de RNF (octógono, triângulo, círculo, lupa e semáforo), aplicados a nove alimentos. Foi avaliado o entendimento do conteúdo nutricional, a percepção de saudabilidade, a intenção de compra e a perce… Show more
“…These findings show that the presence of FoPNL favors the better interpretation of the nutritional content of the product, a finding also seen in other studies (9,14,17). An online study carried out in 2021 with 2400 Brazilian participants also indicated that the use of different FoPNL models, including the magnifying glass and the octagon, both increased the understanding of the nutritional content of products, but this studies evaluated the effectiveness of the design only and not the concomitant application of nutritional profile models (26).…”
Section: In Your Opinion Does the Scanned Product Contain Any Excessi...mentioning
One of the suggestions for improving the understanding of food labels is implementing front-of-pack nutrition labeling (FoPNL), where nutritional information is objectively made available to consumers. Scientific data on the best FoPNL model to be adopted for the Brazilian population is still emerging, especially in real-world purchase situations. This study aims to evaluate/compare the proposed Brazilian and Mexican FoPNL systems, on different outcome measures, using an application, in dairy foods available in a supermarket aisle. This pilot randomized controlled trial in a real-world purchase situation was conducted in June/July 2021. A total of 230 participants were randomly allocated to one of the three study arms (Mexican and Brazilian FoPNL systems or control—nutritional information table and ingredients list). Using a smartphone, the participants scanned a product barcode and received the allocated FoPNL (with information about excessive added sugars, sodium, and/or saturated fat content) or the control. After, they answered questions related to our primary outcome (decision to buy or not to buy a product) and secondary outcomes (perceived healthiness, facilitation of a quick purchase decision, and identification of excess nutrients). The Mexican FoPNL system performed better in the primary outcome (3.74 ± 1.34) and “facilitation of a quick purchase decision” (3.59 ± 1.31), compared to the control (3.28 ± 1.45;p = 0.043 and 3.11 ± 1.42; p = 0.029). The Mexican FoPNL system performed better in supporting consumers to identify dairy foods, among the selected sample in this study, high in added sugars than the control (82.2% and 63.5% of correct answers, respectively; p = 0.009). For saturated fats, the Brazilian FoPNL resulted in 93.1% of correct answers against 48.2% for the control and 58.9% for the Mexican system (p ≤ 0.001). The Mexican FoPNL system facilitated consumer decision-making on when to buy or not to buy a selected dairy product and in helping to quickly decide which dairy products to buy, among the selected sample in this study, compared to the control. Considering the right answers of critical nutrients in excess or not, both models of FoPNL, delivered by a smartphone app, performed well.
“…These findings show that the presence of FoPNL favors the better interpretation of the nutritional content of the product, a finding also seen in other studies (9,14,17). An online study carried out in 2021 with 2400 Brazilian participants also indicated that the use of different FoPNL models, including the magnifying glass and the octagon, both increased the understanding of the nutritional content of products, but this studies evaluated the effectiveness of the design only and not the concomitant application of nutritional profile models (26).…”
Section: In Your Opinion Does the Scanned Product Contain Any Excessi...mentioning
One of the suggestions for improving the understanding of food labels is implementing front-of-pack nutrition labeling (FoPNL), where nutritional information is objectively made available to consumers. Scientific data on the best FoPNL model to be adopted for the Brazilian population is still emerging, especially in real-world purchase situations. This study aims to evaluate/compare the proposed Brazilian and Mexican FoPNL systems, on different outcome measures, using an application, in dairy foods available in a supermarket aisle. This pilot randomized controlled trial in a real-world purchase situation was conducted in June/July 2021. A total of 230 participants were randomly allocated to one of the three study arms (Mexican and Brazilian FoPNL systems or control—nutritional information table and ingredients list). Using a smartphone, the participants scanned a product barcode and received the allocated FoPNL (with information about excessive added sugars, sodium, and/or saturated fat content) or the control. After, they answered questions related to our primary outcome (decision to buy or not to buy a product) and secondary outcomes (perceived healthiness, facilitation of a quick purchase decision, and identification of excess nutrients). The Mexican FoPNL system performed better in the primary outcome (3.74 ± 1.34) and “facilitation of a quick purchase decision” (3.59 ± 1.31), compared to the control (3.28 ± 1.45;p = 0.043 and 3.11 ± 1.42; p = 0.029). The Mexican FoPNL system performed better in supporting consumers to identify dairy foods, among the selected sample in this study, high in added sugars than the control (82.2% and 63.5% of correct answers, respectively; p = 0.009). For saturated fats, the Brazilian FoPNL resulted in 93.1% of correct answers against 48.2% for the control and 58.9% for the Mexican system (p ≤ 0.001). The Mexican FoPNL system facilitated consumer decision-making on when to buy or not to buy a selected dairy product and in helping to quickly decide which dairy products to buy, among the selected sample in this study, compared to the control. Considering the right answers of critical nutrients in excess or not, both models of FoPNL, delivered by a smartphone app, performed well.
“…Moreover, the red signal labeling has been shown to potentially reduce unhealthy eating habits and activate the superior medial frontal gyrus and accessory motor area. Additionally, online surveys from other countries that do not have an FOPL have reported the usefulness of applying nutrition la-bels [35]. In the future, it would be useful to conduct an attribution analysis on the impact of TLF labels on Japanese consumers because there are reports that TLF use and nutrition-al knowledge are related to the socioeconomic and educational status of the participants [16].…”
Nutrition labeling on the front of food packages has been implemented worldwide to help improve public health awareness. In this randomized double-blind controlled trial, we used a Google Forms questionnaire to evaluate the effectiveness of nutrition labeling on food packages in university students. The questionnaire, ultimately completed by 247 students, included 15 dietary images from which they were asked to choose what they wanted to eat for breakfast, lunch, and dinner the following day. For the interventional (traffic light food [TLF]) group only, TLF labels were displayed on dietary images. This group had a significantly higher proportion of people conscious of healthy eating during all meals than the control group, and the effect of TLF labeling on choosing meals was the highest for lunch. In addition to the indicated nutritional components, the TLF group had a significantly higher proportion of people who were conscious of the ones of protein and dietary fiber that were not indicated on the label. The use of TLF labels resulted in an increase in the proportion of people choosing a healthy diet as well as being conscious of their nutritional components. Therefore, the use of TLF labels may help promote healthy dietary choices in Japan.
“…Results are also expected to contribute to the evaluation of the effect of graphical design on the effectiveness of warning labels, a topic that has been increasingly receiving more attention in the literature more recently. [33][34][35][36][37][38][39] The hypotheses tested in the study include: (1) OWL, MGG and TFL improve consumers' ability to correctly identify the least harmful product more often; (2) these FOP labelling schemes improve Open access consumers' ability to correctly identify the presence of excessive nutrient content in products more often; (3) and these FOP labelling schemes increase consumers' intention to purchase the least harmful option or none of the options of a series of products, more often. These hypotheses have been tested both against the control condition, and between the FOP labelling schemes, to verify whether there is a scheme that performs differently from the others for each hypothesis.…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%
“…The comparisons aimed at assessing the effect of these FOP labelling schemes on objective understanding (correct identification of the least harmful product and correct identification of excessive nutrient content), and intention to purchase of a series of products, in Jamaica. Results are also expected to contribute to the evaluation of the effect of graphical design on the effectiveness of warning labels, a topic that has been increasingly receiving more attention in the literature more recently 33–39. The hypotheses tested in the study include: (1) OWL, MGG and TFL improve consumers’ ability to correctly identify the least harmful product more often; (2) these FOP labelling schemes improve consumers’ ability to correctly identify the presence of excessive nutrient content in products more often; (3) and these FOP labelling schemes increase consumers’ intention to purchase the least harmful option or none of the options of a series of products, more often.…”
ObjectiveTo assess the effects of three different front-of-package labelling (FOPL) schemes on objective understanding and intention to purchase of products, in Jamaica.SettingSupermarkets in Jamaica.ParticipantsAdult supermarket shoppers in Jamaica (n=1206) aged 18 years old or older were included in the study, except for those visually impaired, or unable to give informed consent.DesignMultiarm parallel-group randomised trial.InterventionsParticipants were randomly allocated to one of the three intervention groups or the control group. They were exposed to two-dimensional images of 12 mock-up products presented in random and balanced order. Participants assigned to the intervention groups were exposed to one FOPL scheme: black octagonal warning labels (OWL), magnifying glass high-in single icon (MGG) or traffic-light labelling (TFL). The control group was exposed to the nutrition facts up front.Outcome measuresOR for correctly understanding nutritional information (correctly selecting the least harmful option, correctly identifying sugars, sodium and/or saturated fats found to be in excess) and choosing to purchase the least harmful option (purchase intention), more often.ResultsCompared with the control group, the odds for correctly selecting the least harmful option more often were 107% higher in the OWL group (OR 2.07, 95% CI 1.54 to 2.78; p<0.001), whereas the MGG (1.18, 95% CI 0.89 to 1.57; p=0.24) and the TFL (1.13, 95% CI 0.85 to 1.51; p=0.39) were inefficacious in improving such odds. OWL also resulted in the highest odds for correctly identifying a product with excessive amounts of sugars, sodium and/or saturated fats and for deciding to purchase the least harmful option or none of the options.ConclusionsOctagonal warning labels performed best at improving the ability of adult shoppers in Jamaica to understand the nutrition information and at encouraging them to purchase the least harmful option more often.
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