Nutrition Labels Research Articles

Consumer Awareness, Knowledge, Understanding, and Use of Nutrition Labels in Africa: A Systematic Narrative Review

The purpose of nutrition information on a nutrition label is to communicate to consumers the nutritional content of prepackaged foods so that they would be able to identify healthy foods before purchase. Many systematic reviews in the area of consumer awareness, knowledge, understanding, and use of nutrition labels have focused on the United States, Canada, Asia, Europe, Australia, and New Zealand, and little attention has been given to African countries. To review the state of consumer awareness, knowledge, understanding, and use of nutrition labels within the African region, identify barriers to the use of nutrition labels, identify consumers who are more likely to use labels, and assess the factors that affect purchasing decisions. Searches were done in electronic databases (PubMed, Google Scholar, Semantic Scholar, Web of Science) and the reference lists of relevant research articles (back referencing). The review was limited to cross-sectional peer-reviewed research articles which were published in the English Language between January 2000 and June 2022. Twenty-six peer-reviewed papers from 10 African countries that met our inclusion criteria are included in this systematic review. The overall crude means of levels of awareness, knowledge, understanding, and use of nutrition labels were found to be 74.2%, 56.4%, 45.3%, and 69.1%, respectively. Consumer levels of knowledge and understanding of nutrition labels across the 10 African countries were low compared to the awareness and use of nutrition labels.

Nutritional Calorie Labeling and Menu Ordering Practices Among US Adults With Chronic Illnesses.

The relationship between diet and the management of chronic illnesses is well established. However, it is unknown the extent to which people with chronic illnesses pay attention to nutritional information and act upon the information obtained. We evaluated the menu ordering practices of adults with chronic illnesses. We analyzed the 2018 Health Information National Trends Survey (HINTS 5 Cycle 2). Our analytic cohort included 3,154 respondents (weighted population size=228,464,822) who answered questions regarding a personal history of diabetes, hypertension, heart disease, and obesity. They also answered questions about their nutritional habits regarding whether they noticed caloric information at fast-food or sit-down restaurants and how that information influenced their dietary choices. Among respondents with these chronic illnesses, only obese patients were significantly more likely to pay attention to caloric information (OR=1.56; 95%CI: 1.06-2.31). However, noticing the calorie information was not associated with ordering less calories among all categories of respondents with chronic illnesses. US adults with chronic illnesses do not pay sufficient attention to the calorie information of their diet. Furthermore, awareness of the calorie information did not influence their dietary choices. Healthcare professionals should incorporate dietary counseling into the management of chronic illnesses of their patients.

Why data about people are so hard to govern

AbstractHow data on individuals are gathered, analyzed, and stored remains largely ungoverned at both domestic and global levels. We address the unique governance problem posed by digital data to provide a framework for understanding why data governance remains elusive. Data are easily transferable and replicable, making them a useful tool. But this characteristic creates massive governance problems for all of us who want to have some agency and choice over how (or if) our data are collected and used. Moreover, data are co‐created: individuals are the object from which data are culled by an interested party. Yet, any data point has a marginal value of close to zero and thus individuals have little bargaining power when it comes to negotiating with data collectors. Relatedly, data follow the rule of winner take all—the parties that have the most can leverage that data for greater accuracy and utility, leading to natural oligopolies. Finally, data's value lies in combination with proprietary algorithms that analyze and predict the patterns. Given these characteristics, private governance solutions are ineffective. Public solutions will also likely be insufficient. The imbalance in market power between platforms that collect data and individuals will be reproduced in the political sphere. We conclude that some form of collective data governance is required. We examine the challenges to the data governance by looking a public effort, the EU's General Data Protection Regulation, a private effort, Apple's “privacy nutrition labels” in their App Store, and a collective effort, the First Nations Information Governance Centre in Canada.

Strengths and weaknesses of food eco-labeling: a review.

Food labeling is increasingly expanding and adding more information to the food package. There is strong evidence about nutrition labeling effectiveness in driving food choice, especially if displayed in the front of package (FoP). Despite the growing attention to nutrition and sustainable diets, few countries have implemented sustainable labels or eco-labels that could address economic, social and/or environmental concerns. Implementing new techniques of eco-labeling emerges as a consumer-focused solution. However, evidence of the effectiveness of eco-labeling in driving consumers' choices is heterogeneous and not univocal. Thus, this review aims to summarize the evidence about the effectiveness of FoP eco-labeling in driving food choice and provide a reference framework of the eco-labeling initiatives relative to food package labeling. This narrative review addresses both the potential benefits as well as the main concerns that arise from the use of eco-labels. Although eco-labeling seems to provide a series of sustainability benefits for producers and consumers, the implementation of such policies should take into consideration potential trade-offs and inter-sectorial coordination to obtain bigger impacts, assuming that a policy itself cannot transform the whole food system. Eco-labeling could be encouraged and implemented within a set of policies shaping sustainable food systems.

Abstract P482: Associations Between Determinates of Food Choice and Healthy Eating Index-2015 in Adults: An NHANES 2017 - 2018 Analysis

Introduction: Previous work in nationally representative US samples has focused on associations between single determinants of food choice and diet quality assessed by the Health Eating Index-2015 (HEI-2015). Limited research has examined the relationship between multiple domains of food choice and diet quality. A greater understanding of the association between individual-level determinants of food choice and diet quality may inform the development of interventions to improve diet quality. Aim: The aim was to examine the association between potentially modifiable factors known to affect individual-level food choice and HEI-2015. Methods: This cross-sectional analysis included adult participants in NHANES 2017 - 2018. Determinates of individual-level food choice were based on a previously proposed framework. Variables assessed in NHANES were mapped to the following four domains: 1) food-external factors (use of nutrition labels, hours worked weekly, typical work schedule); 2) personal-state factors (health status, consumption of food away from home); 3) cognitive factors (perceived diet quality, knowledge of MyPlate); 4) society-related features (monthly grocery expenditures, food security status, income to poverty ratio). Univariate regression assessed the relationship between food choice determinates and HEI-2015 score. Statistically significant variables were entered into multivariate regression models predicting HEI-2015 score. Significant variables from the final model were used in multivariate regression models predicting adequacy and moderation component sub scores of HEI-2015. All models were adjusted for non-modifiable determinates of food choice, including age, sex, race, BMI, education, and relationship status. All analyses were survey weighted. Results: The weighted mean HEI-2015 score for the sample (N=1467) was 51.69 points (95% CI 49.55, 53.84; weighted n=95.6 million). In the final model, perceived diet quality, food away from home, and use of nutrition labels were significant predictors of HEI-2015 (R 2 adj =0.25, p<0.001). Those with excellent/very good perceived diet quality had a 4.88-pt higher HEI-2015 score than those with fair/poor perceived diet quality (p<0.001). Consuming food away from home ≥5 times per week resulted in a 5.92-pt lower HEI-2015 score than 0 times per week (p=0.02). Always/most of the time using nutrition labels was associated with a 7.85-pt higher HEI-2015 score compared to rarely/never using labels (p<0.001). Variables accounted for a higher proportion of variance in adequacy score (R 2 adj =0.10, p<.001) than moderation score (R 2 adj =0.24, p<.001). Conclusion: Food-external, personal-state, cognitive, and socio-cultural factors are associated with diet quality. Future research should consider multiple individual-level food-choice determinates when developing interventions to improve diet quality.

A systematic assessment of the revised Nutri‐Score algorithm: Potentials for the implementation of front‐of‐package nutrition labeling across Europe

AbstractFront‐of‐package nutrition labeling (FOPNL) is an important public health tool, and the introduction of harmonized FOPNL in Europe is one of the most ambitious food labeling changes in decades. Nutri‐Score (NS) has been considered for implementation across Europe. However, NS is subject to strong opposition, particularly from the food industry and some agricultural sectors (such as cheese and cured meat), but also from some nutrition scientists and public health professionals, which highlights that the system is not sufficiently aligned with food‐based dietary guidelines and the latest scientific literature. These concerns were recently addressed in a revised version of NS (NS2023), aiming to overcome the limitations of its predecessor (NS2021). Our aim was to assess whether these limitations were addressed and to investigate their alignment with dietary guidelines. A systematic literature review identified 20 limitations of NS, assigned to 3 groups (Food‐based, Component‐based, and Other Dimensions of Food Quality). Subsequent assessment of NS employed a large representative branded food database of 19,510 pre‐packed foods. Alignment with dietary guidelines was assessed based on agreement with the WHO Europe nutrient profile (WHOE). NS2023 was shown as notably stricter compared to NS2021 (7% fewer products received the higher grades A or B) and more aligned with WHOE (κNS2021 = .59, κNS2023 = .65). Overall, most (65%) of the limitations were addressed to some extent; these were mostly Food‐based limitations, followed by Component‐based, whereas the Other Dimension of Food Quality (processing, sustainability, portion sizes) remained mostly unaddressed. We can conclude that the revised NS2023 increased its potential for implementation across Europe. Our review identified all limitations, relevant or not, which were mentioned in the scientific literature. Therefore, some mentioned limitations may never be solvable in the scope of nutrient profiling. Others could be further addressed by adaptation of the visual presentation, but increased complexity of the labeling message would also reduce the potential of the FOPNL to support consumers in healthier food choices. Additional research is also necessary to explore the potential impact of the revised NS2023 on food reformulation and its perception among consumers.

Mobile Application for Understanding Nutritional Labeling Focused on The Consumer

Objective: In this multidisciplinary study, a mobile application was designed as a technological tool that contributes to the training of informed consumers capable of interpreting the nutritional characteristics of the products they purchase. Theoretical Framework: Mobile applications that allow to display the sodium, sugar and fat content of a product in a way that is understandable to the consumer. Additionally, an area of opportunity is evident in the way of presenting this information and in the calculation of daily energy content. Design/Methodology/Approach: The agile Scrum methodology was used. The requirements of the mobile application were obtained through user stories, which allowed two sprints to be done. The application was subjected to unit and integration testing, connectivity and functionality type. Findings: Mobile application for users of the Android operating system that allows you to read, through a smartphone, the barcode of a product on the front labeling and display the sugar, sodium and fat content; Moreover, it issues recommendations for their consumption in accordance with the FAO, WHO, UNU. Research, Practical & Social Implications: Contributes to the training of informed consumers capable of having a better interpretation of the nutritional characteristics of the products they purchase. Originality/Value: Mobile application that to scan the barcode of a product and graphically display, through teaspoons, the content in grams of sodium, sugar and calories it contains. Moreover, it calculates the daily energy content according to some variables: sex, age, weight and level of physical activity.

The effect of front-of-package nutrition labelling on product composition

Abstract We analyse the effect of front-of-package nutrition labelling using the example of France, where Nutri-Score was adopted in 2017. Our focus is on changes in available products, i.e. on producer choices rather than consumer choices. Employing a difference-in-differences approach, we find that products introduced or altered after the change receive better Nutri-Score ratings than those introduced before the adoption, indicating a shift to items that are healthier overall. In addition, there is some evidence of bunching at the cutoffs for better Nutri-Score grades, which suggests that the improvements are at least in part a strategic reaction to the Nutri-Score introduction.

Querying feminicide data in Mexico

The full extent of feminicide in Mexico remains unknown. When available, data on the gender-related killing of women and girls are often incomplete, inaccurate, or inexplicable. In this article, a sociologist (Saide) and a statistician (Maria) query feminicide data in Mexico. Drawing on Timnit Gebru et al.’s ‘datasheets for datasets’ and Sarah Holland et al.’s ‘data nutrition label’ frameworks, we zoom in on the two primary governmental sources measuring feminicide in the country, the mortality records processed by the Instituto Nacional de Estadística, Geografía e Informática (INEGI) and the alleged feminicide investigation files published by the Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública (SESNSP). In the discussion, we shed light on two noteworthy remarks. First, the discordance between INEGI and SESNSP data, whereby we outline four crucial variations: naming, underreporting, comparability, and availability. Second, the shortcomings of these data sources in measuring feminicide as we understand it sociologically. In other words, neither explicitly gauge the ‘gender-related’ motivation underlying the crime. Instead, what data from INEGI and SESNSP currently provide us with are discordant approximations of the phenomenon, aligning with what Sandra Walklate and Kate Fitz-Gibbon define as ‘thin’ feminicide counts. This contribution seeks to act as a guide to better understand feminicide data in Mexico, to enhance effective communication between data creators and users concerned with data-making practices, and to ignite the querying of data engaging with social justice and accountability against feminicide and beyond.

Matcha

Apple and Google introduced their versions of privacy nutrition labels to the mobile app stores to better inform users of the apps' data practices. However, these labels are self-reported by developers and have been found to contain many inaccuracies due to misunderstandings of the label taxonomy. In this work, we present Matcha, an IDE plugin that uses automated code analysis to help developers create accurate Google Play data safety labels. Developers can benefit from Matcha's ability to detect user data accesses and transmissions while staying in control of the generated label by adding custom Java annotations and modifying an auto-generated XML specification. Our evaluation with 12 developers showed that Matcha helped our participants improved the accuracy of a label they created with Google's official tool for a real-world app they developed. We found that participants preferred Matcha for its accuracy benefits. Drawing on Matcha, we discuss general design recommendations for developer tools used to create accurate standardized privacy notices.

Nutritional Data on Selected Food Products Consumed in Oman: An Update of the Food Composition Table and Use for Future Food Consumption Surveys.

Food composition data in the Eastern Mediterranean Region countries are often lacking, obsolete, or unreliable. The study aims to provide reliable nutrient data on food products consumed in Oman in order to evaluate their nutritional quality, the consistency of the nutrition labeling and claims, and, ultimately, the use for food consumption surveys and update the current food composition database. Contents of fat, fatty acids, carbohydrates, protein, sugars, and sodium were chemically analyzed in 221 foods and beverages. Products were classified according to their nutritional composition and the extent of processing and coded according to the FoodEx2 system. Labels and laboratory values were compared using the tolerance levels of the European Union. Results indicate that the nutrition labeling aligns with the values obtained in the laboratory, with the exception of 6.3% discrepancies in TFA content, where the reported values are higher than the appropriate reference values. The most frequent category (71.5%) was ultra-processed foods. In terms of inconsistencies in the nutritional claims, 5.1% of food products with claims did not comply with the statement "sugar-free" or "low salt". Our study provides evidence to support the necessity of comprehensive recommendations for consumers and food industries, which are aimed at enhancing the nutritional quality of products and augmenting consumer awareness.

How far can reformulation participate in improving the nutritional quality of diets at population level? A modelling study using real food market data in France

BackgroundFood reformulation is promoted as a tool to improve the nutritional quality of population diets. However, the potential impact of industry-wide reformulation on dietary intake has been investigated minimally.ObjectivesThe aim...

Comparison of Packaging and Online Nutritional Labels of Baby Biscuits and Puries on Sale in Turkey

Amaç: Bu çalışmada Türkiye’de satışta olan bebek bisküvileri ve pürelerinin çevrimiçi ve ambalaj etiket bilgilerindeki besinsel içerikler arasındaki tutarlılığın değerlendirilmesi amaçlanmıştır. Ayrıca, bu ürünlerin etiket yönetmeliğine uygunluğu da incelenmiştir. 
 Gereç ve Yöntem: Bu kapsamda, Türkiye’deki alışveriş sitelerinde satışa sunulan bebek bisküvileri (n=18) ve pürelerinin (n=41) web sitelerinde ve ambalajlarındaki etiket bilgileri edinilmiştir. Daha sonra, 100 gram ürüne karşılık gelen enerji, karbonhidrat, şeker, yağ, doymuş yağ, protein ve tuz miktarları ile etiket yönetmeliğinin gerektirdiği hususlar kaydedilmiştir. Tüm veriler SPSS 22.0 programına aktarılarak, istatistiksel analizler gerçekleştirilmiştir. 
 Bulgular: Bebek bisküvilerinin çevrimiçi etiketleri ve ambalaj etiketlerinde yer alan besinsel içeriğin ortalamalar arasındaki farkı istatistiksel olarak anlamlı bulunmazken; bebek pürelerinin çevrimiçi ve ambalajlardaki enerji ve karbonhidrat içeriklerindeki fark istatistiksel olarak anlamlıdır (p

Public-Private Partnerships in Mexico: Implications of Engaging With the Food and Beverage Industry for Public Health Nutrition.

In the last few years, Mexico adopted public health policies to tackle non-communicable diseases (NCDs), such as front of package nutrition labelling, food marketing restrictions to children, and a soda tax. In parallel, transnational food and beverage industries (F&BIs), their allies, and the government have agreed on public-private partnerships (PPPs) to implement policies or deliver programs. However, research has questioned the benefits of PPPs and exposed its limitations as a suitable mechanism to improve public health. This study analyses how four PPPs between the Mexican government, the F&BI, and allies are working to achieve their goals. We critically assessed the objectives, scope, reported impacts, governance principles and perceived risks and benefits for the public health agenda of these PPPs. This qualitative study is based on 26 interviews with key actors, and 170 publicly available documents, including 22 obtained through freedom of information (FOI) requests related to four purposively selected PPPs aiming to improve health. We found that the four PPPs studied had minimal public information available on their implementation and impact. The private partners tend to dictate the design, information management, and implementation of the programs, while promoting their brands. Few independent evaluations of the PPPs exist, and none reported on their effectiveness or public health benefits. Good governance principles, such as accountability, transparency, fairness, participation, integrity, and credibility, were barely followed in each of the cases studied. Public officials did not automatically question the conflict of interest (CoI) of such arrangements. When there were COI, the potential risks these posed did not always outweigh the financial benefits of working with the F&BI and its allies. The four PPPs studied produced minimal gains for public health while boosting credibility for the participating transnational F&BIs. It shows the lack of awareness of how these PPPs might be hindering public health gains.

Comparative analysis of the protein content and nutritional label of whey protein, plant-based, and animal proteins supplements

The consumption of protein supplements is increasingly part of the everyday life of adults in general and is associated with a healthier lifestyle. However, a constant lack of commitment to the quality of these products by companies poses risks to consumers’ health. Therefore, this study aims to analyze the protein content and compare it with the nutrition label of different protein supplements. This is an analytical original investigation. It was verified whether the food supplements comply with the label presented through food analysis (Kjeldahl method, ash content and moisture percentage) of the composition of various national and international brands (n=51). A total of 51 different protein-based supplements sold in Brazil were analyzed. The results showed that the protein values advertised on the nutritional label are similar to what the product has (P value > 0,05) and are within the 20% tolerance limit according to the current law. Also, there are similarities between different types of products (P value > 0,05) regarding their ash and water content. In conclusion, the nutrition facts of protein supplements reflect the reality of the bran of these products.

What’s in Your Fruit Juice?—Rapid Quality Screening Based on Infrared (FT-IR) Spectroscopy

Fruit juices (FJ) have gained widespread global consumption, driven by their perceived health benefits. The accuracy of nutrition information is essential for consumers assessing FJ quality, especially with increasing concerns about added sugars and obesity risk. Conversely, ascorbic acid (Vitamin C), found in nature in many fruits and vegetables, is often lost due to its susceptibility to light, air, and heat, and it undergoes fortification during FJ production. Current analytical methods for determining FJ components are time-consuming and labor-intensive, prompting the need for rapid analytical tools. This study employed a field-deployable portable FT-IR device, requiring no sample preparation, to simultaneously predict multiple quality traits in 68 FJ samples from US markets. Using partial least square regression (PLSR) models, a strong correlation (RCV ≥ 0.93) between FT-IR predictions and reference values was obtained, with a low standard error of prediction. Remarkably, 21% and 37% of FJs deviated from nutrition label values for sugars and ascorbic acid, respectively. Portable FT-IR devices offer non-destructive, simultaneous, simple, and high-throughput approaches for chemical profiling and real-time prediction of sugars and acid levels in FJs. Their handiness and ruggedness can provide food processors with a valuable “out-of-the-laboratory” analytical tool.

How a health goal activation drives the Nutri-Score effect

The Nutri-Score nutrition label has been found to improve consumers’ food choices in several previous studies. It is not clear though why this would be the case. Using a multi-methods approach consisting of four experimental studies (covering in total 1150 respondents and 145 products), we provide evidence that the Nutri-Score serves as a health prime and activates health goals in and of itself. This health goal, in turn, leads consumers to make healthier food choices. As part of an experimental-causal-chain design, Study 1 (n = 304) shows that the presence (vs. absence) of the Nutri-Score on product packages leads consumers to activate a health goal. Study 2 (n = 351) then shows that a manipulation of health goals increases the healthiness of respondents’ shopping baskets. Studies 3 (n = 225) and 4 (n = 259) replicate this substantive finding using traditional measurement-of-mediation designs (Studies 3 and 4), while at the same time excluding injunctive social norms as a rival explanation for the Nutri-Score effect (Study 4). Identifying why the Nutri-Score enhances healthy food choices is important as it increases our understanding of how nutrition labels can be further improved. Implications for public policy makers, retailers, and manufacturers are discussed.

A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery.

The purpose of this work is to analyse the combined impacts of birth weight and nutritional status on development and recovery of various types of diseases. This work aims to computationally establish the facts about the effects of individual birth weight-nutritional status pairs on disease development and disease recovery. This work designs a computational model to analyze the impact of birth weight-nutritional status pairs on disease development and disease recovery. Our model works in two phases. The first phase finds the best machine learning model to predict birth weight from "Child Birth Weight Dataset" available at IEEE Dataport (https://dx.doi.org/10.21227/dvd4-3232). The second phase combines the predicted birth weight labels with nutritional status labels and establishes the effects using differential equations. The experimental results find Gradient boosting (GB) to work the best with Information gain (IGT) and Support Vector Machine (SVM) with Chi-square test (CST) for predicting the birth weights. The simulated results establish that "normal birth weight and normal nutritional status" is the best pair for resisting disease development as well as enhancing disease recovery. The results also depict that "low birth weight and malnutrition" is the worst pair for disease development while "high birth weight and malnutrition" is the worst combination for disease recovery. The findings computationally establish the facts about the effects of birth weight-nutritional status pairs on disease development and disease recovery. As a social implication, this study can spread awareness about the importance of birth weight and nutritional status. The outcome can be helpful for the concerned authority in making decisions on healthcare cost and expenditure.

Visual communication design: a neglected factor in nutrition promotion via packaged food labels.

Packaging design is a communication device and a critical component in branding strategy, and has relevance for food policy. Presently, packaging-related nutrition policy initiatives focus on the role of regulated claims, nutrition information panels and front-of-pack nutrition labels to help guide consumer food choices and address high prevalences of discretionary and ultra-processed food consumption in many countries. However, these nutrition labelling systems are not optimized as public health policy tools as many consumers do not use them to inform their food choices. Visual communication design theory posits that a designer orders the elements and principles of design into hierarchies that prioritize certain elements over others, and that some of these elements are more dominant and given more emphasis than others. The overall design of the package thereby directs consumer attention to some aspects of pack design (e.g., characters, contents of the package) and away from others (e.g., nutrition details). Dual processing frameworks propose that food decisions are made with the interplay between automatic and rational thinking processes. Packaging designs affect whether consumers rely predominantly on automatic or rational thinking to select a food. This narrative review outlines the role of food packaging design and how it impacts the clear communication of nutrition aspects of food products and how the use of nutrition information by consumers to make decisions may depend upon design structures in packaging. This article attests that nutrition scientists and policy makers should incorporate visual communication design into research on the food packaging as a public health promotion tool. A stronger focus on the communication of regulated front-of-pack nutrition information can be made with a re-evaluation of the hierarchy of elements in the front-of-pack design enabling consumers to make healthier decisions.

Use of nutrition facts panels and traffic light labelling and perceived healthiness of food: conjoint analysis and cross-sectional survey

PurposeNutrition labels provide a cost-effective method of conveying nutrition information to consumers. This study aimed to assess the use of nutrition facts panels, knowledge of traffic light labelling (TLL) and perceived healthiness of food items using TLL among consumers.Design/methodology/approachA web-based cross-sectional study was conducted among adults in the United Arab Emirates (UAE) (n = 1,322). TLL knowledge score was derived for each participant. Conjoint analysis was used to calculate the utilities and relative importance of the perceived healthiness scores for four attributes (fat, saturated fat, total sugar, salt) at the aggregate level.FindingsParticipants had a positive attitude towards TLL but were less familiar with TLL than the nutrition facts panel (47.4 vs 85.8%). The mean TLL knowledge score was 3.6 out of 7 (51.6%). Younger age, higher education, higher income, and health-related qualifications were associated with higher scores. Conjoint analysis showed that participants tend to choose products with greener labels, especially for sugars (80.1%) and avoid red labels for fats. Sugars had the highest percentage value of relative importance compared to the other attributes (27.1%).Originality/valueThe study outcomes offer valuable insights into the extent of consumer awareness, comprehension and utilization of nutrition facts panels in the UAE. These findings contribute essential knowledge for a deeper understanding of the impact of nutrition labels on consumer behaviour and decision-making in the region.