Multiple Traffic Lights Research Articles

Total sugar content of pre-packaged beverages available in Saudi Arabia

Beverages are a major source of sugar; therefore, efforts to reduce sugar consumption focus on limiting sugary drinks. This is a descriptive observational analysis study of pre-packaged beverages. The analysis covered 12 beverage categories and 28 types of commonly available sugars in beverages. The beverages' median total sugar was determined and assessed based on the World Health Organization (WHO) recommended upper limit of sugar intake and the multiple traffic light labeling (MTL) criteria. Different analyses were performed including frequencies and median to determine the categories with high sugar content and non-parametric tests to compare the median of the total sugar among categories. The median total sugar content of the 1400 analyzed beverages was 11 g 100 mL-1; fruit juices and soft drinks had the highest median of total sugar (12 – 11 g 100 mL-1). The top sugar terms found are White sugar, Sucrose, High-fructose corn syrup, and Glucose syrup. The median total sugar in our study amounts to 20 % of the WHO upper limit recommendation, and 46.22 % of the beverages received a ‘red’ label for sugar content per 100 mL based on the MTL criteria. Sugar content in the pre-packaged beverages is high compared to the recommended daily limit of sugar.

Assessing the Validity of Front-of-Pack Nutrition Labels for Evaluating the Healthiness of Mediterranean Food Choices: A Global Comparison.

In response to growing public health concerns, governments worldwide have implemented various nutrition labelling schemes to promote healthier eating habits. This study aimed to assess the consistency and effectiveness of these labels in an out-of-home context, specifically focusing on restaurant, hospitality, and institutional food service settings. In total, 178 different dishes from Spain were analysed using labels from the Mazocco method, the UK's traffic light system, the Health Star Rating (Australia), Nutri-Score (France), multiple traffic lights (Ecuador), and warning labels (Chile and Uruguay). The results demonstrated a generally low level of agreement among these labels (K < 0.40), indicating notable variability and a lack of consensus, which could hinder consumers' ability to make informed food choices in out-of-home settings. Nutri-Score classified the highest number of dishes as unhealthy (38%). This study underscores the need for an easy-to-understand labelling system tailored to each country's culinary and socio-cultural contexts to improve consumer decision-making in various dining environments. Future research should focus on developing and testing qualitative methods to more accurately gauge the nutritional quality of cooked dishes in diverse out-of-home settings, thereby enhancing public health outcomes. By addressing the specific needs of the home, restaurants, hospitality, and institutional food services, tailored labelling schemes could significantly improve consumers' ability to make healthier food choices.

Becoming Healthier without Paying More? Experimental Evidence from the Impact of Multiple Traffic Lights on Chinese College Students.

The prevalence of overweight and obesity among Chinese residents has become a pressing public health concern. The UK Multiple Traffic Light labeling system, known for its user-friendly design, has demonstrated success in promoting healthier food choices. This paper presents novel findings from a randomized controlled experiment assessing the impact of traffic light labeling on Chinese consumers' food choices. Results indicate that the label significantly reduces the intake of calories, fat, carbohydrates, and sodium without increasing the economic costs of food choices. This study contributes empirical evidence to the effectiveness of traffic light labeling in China, with implications for the country's approach to front-of-pack nutrition labeling.

The Relation between Consumer Perception and Objective Understanding of Front-of-Package Nutrition Labels (FOPNLs); Results from an Online Representative Survey.

This study investigates the efficacy of Front-of-Pack Nutrition Labels (FOPNLs) as a cost-effective tool for improving dietary choices among Greek consumers. The purpose of the study was to investigate Greek customers' preferences and comprehension of commonly used European FOPNL schemes. The Hellenic Food Authority and the Agricultural University of Athens performed a representative online survey in March 2022, titled "The Role of Nutritional Labelling in Public Perception and Food Procurement." Consumers responded to a questionnaire separated into two parts. Part one included (i) personal, sociodemographic information, and (ii) subjective opinions on the FOPNL schemes, and part two comprised (iii) an objective understanding of NutriScore and NutrInform Battery, using 15 different foods. Participants were randomly allocated to these groups, and general mixed models were used for analysis. A total of 1389 adults completed the first part of the survey, and 74.8% completed the second part. The Multiple Traffic Lights scheme was the preferred FOPNL, chosen by 48.4% of respondents, compared to 19.7% for NutrInform Battery and 12.3% for NutriScore. However, the mean objective assessment score was highest for NutriScore (5.8 ± 2.3) compared to NutrInform Battery (5.4 ± 1.9). The results highlight the necessity for comprehensive nutrition education programs by showing a considerable gap between subjective preferences and an objective understanding of nutrition labels.

Resident Doctors and Food Labelling: A Descriptive Study from India

Abstract Background: Perception of front-of-package label (FOPL) amongst doctors is crucial to sensitise patients towards healthy eating choices using FOPL. This study was conducted to assess knowledge, attitude and practices (KAP) of FOPL amongst resident doctors. Methods: A descriptive study was carried out on 100 resident doctors at Sawai Man Singh Medical College during the period of September–November 2023. KAP regarding FOPL were assessed using validated questionnaire, scored and categorised as per Bloom’s criteria. Results: The study showed a mean KAP score of 8.17 ± 1.95 for the participants, out of maximum score of 15. Participants scored highest in the knowledge (4.07 ± 1.08) and lowest in the practice section (0.90 ± 1.16). Although 99% of respondents were aware about some labelling on packaged food items, only 23% of respondents were aware about FOPL. Majority of the respondents rarely or never read nutrition labels (87%) or compared nutritional content of two similar items before purchasing (89%). Sixty-two per cent of respondents considered nutrition labelling as a guarantee of food safety. ‘Multiple Traffic Light’ was the most preferred FOPL design (43%), followed by ‘Health Star Rating’ (21%). Conclusion: There is low awareness of FOPL and a knowledge-behaviour gap amongst the residents. This gap needs to be addressed to ensure better patient counselling for healthy eating choices.

Enhanced Traffic Light Guidance for Safe and Energy-Efficient Driving: A Study on Multiple Traffic Light Advisor (MTLA) and 5G Integration

This paper presents Multiple Traffic Light Advisor (MTLA), a novel Green Light Optimal Speed Advisory (GLOSA) system that leverages 5G communication technology. GLOSA systems are emerging as a key component in intelligent transportation systems, thanks to the development of effective communication technologies. At its core, MTLA serves as a guidance system for drivers, providing real-time instructions to adjust vehicle speed to optimize the utilization of current and future states of traffic lights along their route.The work addresses several limitations in the current state-of-the-art approaches, including the use of an overly simplified velocity profile, the omission of potential grip and jerk in problem formulation, and the absence of a detailed description of the algorithm’s implementation aspects. Initially, we comprehensively present an optimization-free implementation of the overall control architecture based on an unconventional speed profile. Subsequently, MTLA is improved within a non-linear Model Predictive Control (MPC) framework which uses the latter nonoptimal solution as an initial guess and considers potential grip and jerk in the problem formulation. The developed systems are numerically tested and compared within a high-fidelity simulation environment using the IPG CarMaker simulator. The results demonstrate promising performance in terms of energy savings, with a significant reduction of 37% in energy usage, as well as improved overall comfort with respect to the case where no guidance is given to the driver. These findings suggest a high potential for future developments in this domain.

Smart Traffic Light Control System Using Arduino Mega

Abstract: This article presents the "Smart Traffic Light Control System using Arduino Mega" design. These systems manage traffic flow at intersections, aiming for smooth vehicle movement. However, synchronizing multiple traffic lights at adjacent junctions is complex because of a number of variables. Conventional systems struggle with fluctuating traffic flows and lack consideration for emergencies, pedestrian crossings, and accidents. This often leads to congestion and traffic jams. The suggested method resolves these problems by integrating advanced control mechanisms to adjust traffic signals dynamically, enhancing overall traffic management efficiency and safety

Developing and testing front-of-pack nutrition labels in India: An experimental study

The most populous country in the world, India, is experiencing a nutrition transition that involves rapidly increasing prevalence of unhealthy packaged foods. To assist consumers in making healthier packaged food choices, the Government of India is in the process of designing and implementing a new front-of-pack nutrition labelling system. The aim of this study was to provide insights into the types of labels that may be most effective across the diverse Indian population. A multi-method data collection process was employed that involved 16 focus groups (n = 112 adult participants) and a survey administered to 1,270 adults. The assessed outcome variables were objective understanding, food choice, and perceptions of labels. The five front-of-pack nutrition labels tested in the experimental survey were 2-colour and 3-colour versions of the Multiple Traffic Lights label, a colour version of the Health Star Rating label, a smiley face version of the Nutri-Score label, and red Warning Labels. All five assessed front-of-pack nutrition labels produced favourable effects for objective understanding, choice, and perception outcomes, but the 2-colour Multiple Traffic Lights label performed best across both objective understanding and choice outcomes. The results highlight the importance of including colour as an interpretation aid in the new front-of-pack nutrition label to be introduced in India.

Consumer preference for nutrition front-of-pack-label formats in India: Evidence from a large-scale experimental survey

Global policy discourse emphasizes placing front-of-pack nutrition labels (FOPLs) on packaged foods, but debates continue to rage on the appropriate format. There are two key types of label formats, summary and informative. In developing countries, with mixed to low levels of education, it is advised that FOPLs need to be easily identifiable, understandable, and can influence purchase decisions. In this context, we tested the suitability of five FOPL formats in India through a randomized experimental design survey. Respondents were allocated to different groups representing the FOPLs and controls. A 15-treatment and 1 control cell between-subjects design was used for the study. Surveys were conducted on the field through face-to-face interactions with a total of 20,564 participants from all over India across regions, genders, age groups, and education levels. The results, which were validated using sub-sample tests, suggest that summary formats of Health Star Ratings and Warning Labels ranked higher on ease of identification and understanding and were also able to influence purchase intentions as compared to informative labels such as Multiple Traffic Lights, monochrome Guideline Daily Amounts, and Nutriscore. Our analysis reveals that summary FOPLs are more useful in influencing healthier food choices as compared to informative FOPL formats. The study's insights can help regulators design a policy that empowers consumers and nudges food brands toward healthier product reformulations.

Product promotions in online supermarkets: prevalence of 'High Fat Sugar Salt' (HFSS) products and labelling characteristics.

To evaluate the prevalence of 'High Fat Sugar Salt' (HFSS) products and front-of-pack nutrition labelling (FOPNL) characteristics across promoted products in UK online supermarkets. A cross-sectional survey conducted (December 2021-January 2022) on promoted products. Data on ingredients, nutritional composition and display of FOPNL were collected from product webpages. The UK's Nutrient Profiling Model and Multiple Traffic Light criteria were used to determine HFSS status and possession of inherent red traffic lights (iRTL), respectively. Data analysis determined the prevalence (i.e. percentage of products of the total number of products sampled) of HFSS; FOPNL and possession of iRTL. Chi-squared tests explored associations between these. Three major UK online supermarket retailer websites. Product 'multibuy' and 'entrance' promotions, from selected product categories. Among the sampled 625 promoted products, the prevalence of HFSS was greater in entrance (73 %) compared with multibuy (41 %) promotions (χ2 (1) = 34, P < 0·05), with variations in the former across retailers (49-92 %). The prevalence of HFSS products in multibuy promotions offered by two retailers varied by category (i.e. Confectionery 94-97 %, Yogurts 20-20 %, Soft Drinks 16-33 %, Ready Meals 1·4-18 %). Not all promoted products displayed FOPNL on webpages (70 %) or images (52 %). A number of iRTL were found to be possessed by both HFSS and non-HFSS-promoted products. Prior to the 2022 implementation of Regulations restricting these, HFSS products were promoted in online supermarkets with varying display of FOPNL and possession of iRTL. Findings support future policy evaluation and mandatory digital FOPNL.

Effects of nutritional profile system and front labeling in food selection during purchases: a systematic review

Introduction. Nutritional profiling systems (NPS) are mainly used in front-end labeling policies in order to make the purchase and consumption choice conscious and healthy. Objetive. This study systematically reviewed evidence from interventions on the effect of NPS in the front-of- package on food purchases. Materials and methods. A bibliographic search was carried out in electronic sources from Medline, Elsevier, Scielo and Lilacs, of experimental studies and intervention between 2012 and 2022. A total of 14 articles were included in the review. They were analyzed according to the intervention modality used: 4 studies analyzed the effect of NPS in a real purchase situation and 10 evaluated purchase perception/intention. Results. According to the modality of intervention, the 6 studies that analyzed the NPS-warning system, all recorded healthier purchases compared to the control groups. While for the NPS-NutriScore, Health Star Rating and Multiple Traffic Lights were effective in the decision to purchase healthier foods, in 5 of 7 studies for the first NPS, in 4 of 7 for the second and in 4 of 8 for the third, compared with control groups. Conclusions. Findings of this study suggest that NPSs may be effective for healthy purchase choices, even so it is necessary to strengthen the system and policies with nutritional food education campaigns.

Cross-Classification Analysis of Food Products Based on Nutritional Quality and Degree of Processing.

This study aims to compare the classification of foods available in the Portuguese market using Nutri-Score and NOVA classifications and to analyse their ability to discriminate the fat, saturated fat, sugar, and salt content of foods. A sample of 2682 food products was collected. The nutritional quality of foods was established using the Nutri-Score, classifying them into five categories (from A to E). The NOVA classification was used to classify foods according to the degree of food processing into unprocessed/minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods (UPF). The nutritional content of food products was classified using a Multiple Traffic Light label system. It was observed that 73.7% of UPF were classified as Nutri-Score C, D, and E, 10.1% as Nutri-Score A, and 16.2% as Nutri-Score B. Nutri-Score was positively correlated with NOVA classification (ρ = 0.140, p < 0.001) and with the Multiple Traffic Lights system (ρTotal Fat = 0.572, ρSaturated Fat = 0.668, ρSugar = 0.215, ρSalt = 0.321, p < 0.001). NOVA classification negatively correlated with the Multiple Traffic Lights system for total fat (ρ = -0.064, p < 0.001). Our findings indicate the presence of many UPFs in all Nutri-Score categories. Since food processing and nutritional quality are complementary, both should be considered in labelling.

The ability of five different front-of-pack labels to assist Australian consumers to identify healthy versus unhealthy foods

ObjectiveThe aim of this study was to assess the relative ability of different interpretive front-of-pack food labels to alert consumers to both healthier and unhealthier options to inform their food choices. MethodsOne thousand Australians completed an online experiment where they rated the nutritional quality of sets of fictional products pre- and post-randomisation to one of five front-of-pack labels: Health Star Rating, Multiple Traffic Lights, Nutri-Score, Reference Intakes and Warning Label. Two sample z-tests were used to assess the ability of each label to facilitate the correct identification of the least and most healthy product options. ResultsThe Nutri-Score was superior in assisting respondents to identify both the healthiest and unhealthiest options. The Health Star Rating ranked second for both outcomes, followed by the Multiple Traffic Lights. ConclusionsResults reinforce the role of interpretive front-of-pack labels in assisting consumers to understand the nutritional quality of food products and suggest spectrum labels may provide superior utility in assisting consumers to identify both the most and least nutritious products from among available product options. Implications for public healthThe strongest performance of a highly interpretive front-of-pack label (Nutri-Score) featuring colour in a summary indicator suggests potential strategies for enhancing the performance of the Health Star Rating.

Are Front-of-Pack Nutrition Labels Influencing Food Choices and Purchases, Diet Quality, and Modeled Health Outcomes? A Narrative Review of Four Systems.

Front-of-Pack Nutrition labels (FOPNLs) aim to improve consumers' food purchases and prompt product reformulation by the food and beverage industry. Despite their widespread use, the effectiveness of FOPNL in achieving these goals is still a matter of debate. This review has gathered 65 original studies exploring the performances of four widely used FOPNLs (Multiple Traffic Light, Warning signs, Nutri-Score and Health Star Rating). Although FOPNLs have been associated with healthier food purchases, the magnitude of improvements was small and dependent on study settings. Any associated health effects were modeled rather than observed. None of the four FOPNLs clearly outperformed the other ones on any outcome. Few studies dealt with the impact of FOPNL on product reformulation. Some of those studies, but not all, found small reductions in energy, sodium, sugar and saturated fat content of foods in some food categories. Although global trends point to a small favorable effect of FOPNL, this conclusion is subject to caution since the evidence is inconsistent and comes from a wide variety of contexts and study designs. There remain numerous research gaps, notably with regard to the optimal characteristics of FOPNLs, the durability of FOPNL effects on consumer behaviors, and any possible unexpected consequences.

Knowledge, attitude, and practice regarding food labels among undergraduate medical students of a government medical college, Bengaluru

Background: Front-of-package labels (FOPLs) assist consumers in assessing the healthfulness of items and offer guidance regarding choice to purchase. FOPLs are crucial for lowering consumption of the unhealthily processed foods. As Health education is one of the primary responsibilities and also the lifestyle measure to be adopted by the future doctors, it is necessary to know the importance of food labels. Aims and Objectives: The aim of the study was to assess the knowledge and attitude regarding food labels by undergraduate medical students at a Government Medical College, Bengaluru, and to evaluate their perception and preference of identifying different types of FOPL design. Materials and Methods: A cross-sectional study was conducted among medical undergraduate students by Universal sampling method. Among 960 students, 646 students who gave a digital consent and completed online survey were included in the study. The data were collected by a pre-tested, semi-structured, validated questionnaire, and analyzed using SPSS–21.0. Results: Majority 403 (62.3%) of students were of the opinion that front of the packet information on the content or quality of products would be helpful to convey nutritional information to the consumers. Health Star Rating 289 (44.7%) was easiest food label to understand followed by Multiple Traffic Light 248 (38.3%). Conclusion: The medical students in this study had a sound knowledge about food labels. However, students did not utilize the food labels adequately. Sound knowledge about food labels and regulation of food labeling is important for a medical student to create awareness among the patients and community.

Informing Consumers: A Bibliometric and Thematic Analysis of Pack Nutrition Labelling

Aim/Purpose: The focus on human well-being has attracted the attention of consumers, organizations, and marketers to understand the various facets of Front of Pack Nutrition Labelling (FOPNL). This study examines the overall research trends in the FPONL domain and identifies the new research areas. Background: FOPNL is becoming increasingly popular and its influence has been widely examined. Different label schemes have been introduced across different regions in the world. Nevertheless, such interventions are limited in developing economies. Methodology: This study uses bibliometric analysis methods to explore Front of Pack Nutrition Labelling (FOPNL) trends using 602 articles published in selected business journals. Contribution: The paper identifies the new FOPNL research avenues. The study indicates that FOPNL has become a crucial research area, and more research is needed at the organization, managerial, and policy levels. Findings: The study identifies four themes. The first theme identified is the effect of harmful nutrients on health and the role of FOPNL nutrition in changing eating habits. The second theme focused on the government's policy and implementation of FOPNL nutrition labeling regulations. The third theme is dedicated to the work on attention, perception, understanding, and influence of multiple traffic light schemes. The fourth theme relates to the Health Star Rating, Nutri Score, and Healthier Choice FOPNL nutrition labeling schemes. Overall, the paper informs consumers, manufacturers, and regulators about the recent trends in the FOPNL research. Recommendation for Researchers: Though FOPNL has been widely examined in the health and nutrition domain, however, limited research has been done in the marketing domain. Research using neuroscientific methods (e.g. eye tracking) should provide more robust findings. Future Research: There is limited research on FOPNL from emerging economies. Future research can examine how FOPNL may influence people, policy, and private entities.

Front-of-pack labelling of food products: international practices and perspectives

Introduction. A prerequisite for the deve­lopment of the food market is to provide con­sumers with accessible and necessary informa­tion about properties of food products. Food products labeling on the front of the package is aimed at facilitating consumers’ understanding of information about their usefulness. Problem. A wide range of symbols, schemes and formats have been developed which would provide information about the properties of food products to the consumer in the most convenient and accessible form. However, it is important to analyze the existing options and the effecti­veness of this method of informing consumers about the usefulness of food products. The aim of the work is to analyze different approaches to food products labeling on the front of the package in terms of their informativeness and usefulness for consumers. Methods. The methods of comparative ana­lysis and synthesis, selection and generalization, legislative and regulatory documents were used. Results. Many front-of-pack labeling sys­tems are known today, including Multiple Traffic Lights, Reference Intakes, Health Star Rating system, Nutri-Score, etc. Each of these systems has its own peculiarities regarding the content and way of presenting information about the components of the product, in terms of their use­fulness for the human body and the presence / absence of components that may have a negative impact on health. However, the current labeling systems make it possible to compare food products without taking into account other aspects of health im­pact (degree of processing, added additives that make them unhealthy), which does not allow to provide a complete profile of the health benefits of the food product. Conclusions. The analysis of different front-of-pack nutrition labels systems proved that thanks to such information, consumers have the opportunity to choose more healthy food products. The adoption and implementation of a single label on the front of the package can be useful for consumers and reduce the number of cases associated with the negative impact of food products on health.

Efficacy of different front-of-package labeling systems in changing purchase intention and product healthfulness perception for food products in Argentina.

ABSTRACTObjectives.To identify the front-of-package scheme—Multiple Traffic Light (MTL), Nutri-Score (NS), and black octagon Warning System (WS)—most effective in reducing purchase intention and perceived product healthfulness of drinking yogurts, cookies and cheese spreads, and to assess the joint influence of nutrient claims on the effects.Methods.Randomized-controlled experiment. A within-subjects factorial design was used to evaluate the influence of three independent factors on perceived product healthfulness and purchase intention. A total of 704 adults in Argentina were shown three mock-up products and asked to indicate which product they would buy choosing between pairs of products from different categories and to rate product healthfulness on a 7-point Likert scale.Results.The WS was the most effective in reducing purchase intention in drinking yogurts (OR:0.16, 95%CI: 0.09;0.28), cookies (OR:0.10, 95%CI: 0.05;0.18) and cheese spreads (OR:0.10, 95%CI: 0.05;0.18), and the perception of healthfulness (WS Mean score 3,63 vs No label 4,24, p<0.001), regardless of the participants’ gender, age, and level of education. NS was inefficacious in reducing product healthfulness perception, while MTL had significantly increased how healthful the product was perceived (p<0.001). Nutrient claims increased purchase intention and perception of healthfulness, thus reducing the effectiveness of front-of-package labels (p<0.001).Conclusions.In line with growing evidence, our findings support that WS perform better than NS and MTL in reducing purchase intention and healthfulness perception of products with excessive amounts of critical nutrients associated with the greatest burden of diseases. Front-of-package WS are expected to facilitate the population in Argentina to make healthier decisions.

Effect of different front-of-package food labels on identification of unhealthy products and intention to purchase the products– A randomised controlled trial in South Africa

This study aimed to evaluate the effect of different labels on participants identifying products high in nutrients of concern; identifying unhealthy products, and intention to purchase unhealthy products. This blinded randomised controlled trial included a representative sample of South African households (n = 1951). Per household we selected a member primarily responsible for food purchases. Participants were randomised into the Warning Label (WL), Guideline Dietary Amounts (GDA) or Multiple Traffic Light (MTL) arms. Each participant answered questions in a no label condition (control) followed by same questions in the label condition (experiment). Complete data were collected and analysed for 1948 participants (WL = 33.7%, GDA = 32.1% and MTL = 34.2%). The probability of correctly identifying products high in nutrients of concern and identifying products as being unhealthy was higher with the WL compared to the GDA or MTL for most items. There was no difference in performance between the GDA and the MTL when considering all items together. A higher percentage of participants reported a lower intention to purchase an unhealthy product after exposure to the WL compared to MTL for 5 out of 6 products; 2 out of 6 products for the WL compared to GDA and 2 out of 6 products for GDA compared to MTL. Compared to the control condition, exposure to each of the labels resulted in better identification of nutrients of concern, unhealthy products and a lower intention to purchase when considering all specific outcome items together. The WL showed a higher potential to enable South African consumers to identify products high in nutrients of concern, identify unhealthy products and discourage purchasing of unhealthy products.

An 18-country analysis of the effectiveness of five front-of-pack nutrition labels

Various front-of-pack food labels (FoPLs) are being introduced across the world, and discussion continues about the most effective label formats to improve consumers’ (i) understanding of the relative healthiness of alternative products and (ii) product choices. Of increasing interest is the relative ability of different types of labels to steer consumers away from unhealthy options (aversion) versus steer them towards healthier options (attraction). The aim of this study was to assess aversion and attraction outcomes for five FoPLs (Health Star Rating, Multiple Traffic Lights, Nutri-Score, Reference Intakes, and Warning Label) across 18 countries (n = 18393). Descriptive analyses assessed improvements in consumer understanding and choice outcomes for each label across three different types of food products. Binary logistic regressions were used to compare the relative ability of the labels to improve respondents’ understanding of product healthiness and their product choices, using the industry-developed Reference Intakes as the comparator. Aversion and attraction effects were assessed for each label/food type combination. Across the total sample, the Nutri-Score performed best in terms of both attraction and aversion results for understanding and simulated choice outcomes, followed by the Multiple Traffic Lights. The Reference Intakes exhibited the weakest performance overall, with the Warning Label and Health Star Rating falling in between. The most effective FoPLs featured a colour-coded spectrum design. The results indicate that front-of-pack labels that are effective in guiding consumers towards healthier food products can also be effective in steering them away from unhealthy options.