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Front-of-pack nutritional labels have been extensively studied to support consumers in making healthier and more informed food choices. However, existing research has gathered conflicting evidence about which category of label, nutrient-specific or summary labels, is more effective. As a result, the European Union has postponed its decision on selecting a unified label to collect additional information. This study specifically focusses on individuals with noncommunicable diseases, an overlooked yet relevant segment of consumers who can significantly benefit from the proper use of nutritional labels in their self-care.

In a sequence of three studies grounded in the front-of-pack acceptance model and focussing on customers with specific noncommunicable diseases, the authors examined the different effects of the NutrInform Battery and Nutri-Score on food acceptance and portion selection. This research involved the use of structural equation modelling and ANOVA and was conducted with a cumulative sample of 2,942 EU adults, residing in countries with or without previous exposure to nutritional labels.

The results suggest that among individuals with noncommunicable diseases, nutrient-specific labels are perceived as more useful and easier to use. They also generate a better attitude towards the usage of nutritional labels and are more effective in nudging those consumers towards a proper selection of portions.

The results provide valuable insights into how front-of-pack nutritional labels can impact the food choices of individuals with noncommunicable diseases and have implications for public health policies.

Investigation of the effects of NutrInform Battery and Nutri-Score on consumers with noncommunicable diseases, an area currently under-researched.

This study aims to reveal the implications that trust, as a key driver of consumer behaviour, might have on consumer acceptance of front-of-pack labels (FOPLs) and policy effectiveness. By conducting three studies on 1956 European consumers with different levels of exposure to FOPLs, this study offers additional theoretical and experimental support through a deep investigation of the central role of trust in consumers’ decision-making towards healthier and more informed food choices.

Study 1 used structural equation modelling to assess whether trust is a relevant mediator of the relationship between attitude and behavioural intention (BI), thus upgrading the front-of-pack acceptance model (FOPAM); Study 2 tested the model by comparing two labels at the extremes of the current European scheme (NutrInform Battery [NiB], Nutri-Score [NS]); Study 3 assessed the effect in cases where the connection between trust and algorithms is made transparent and evaluated trust dimensions, focusing on the perception of an algorithm presence behind FOPLs information.

Study 1 strengthens the FOPAM model with the mediating role of trust in FOPLs, demonstrating a positive effect of attitude on trust and, in turn, on BI, and resulting in a higher model fit with all the significant relationships; Study 2 revealed that the relative performance of the different labels on the FOPAM can be explained by the trust dimension; Study 3, investigating the dynamics of trust in the FOPAM, revealed that the NS is less effective than the NiB on attitude, BI and trust.

The sample was limited to Italian, French and English respondents, and two labels at the extreme of the spectrum were examined. Furthermore, the research has relevance to the issue of trust. Other moderators used in previous studies on technology acceptance model, such as actual use versus perceptual use, user experience level or type of users and type of use might be investigated.

The investigation of trust, with the upgrade of FOPAM, enhances understanding of consumers’ decision-making processes when aided by food labels and makes a new contribution to the European Union “Inception Impact Assessment” in preparation for the finalization of the “From-Farm-to-Fork Strategy”, providing new insights into the role of trust by assessing the relative performance of FOPLs in consumers’ acceptance of food-related information. Furthermore, this study revealed that consumers’ perception of FOPLs worsens when they realize that they are the result of an algorithmic calculation. Finally, the new FOPAM represents a reliable theoretical model for future research on FOPL.

This study increases the knowledge about the performance of different FOPLs on several dimensions of food decision-making, positions the upgraded FOPAM as a valid alternative to existing theoretical models to assess the relative performance of labels, also extending the literature in the context of algorithm-based FOPL, and could be used as a valid support to policymakers and industry experts in their decision towards a unified label at European level.

This study aimed to examine the perceptions and preferences of Brazilian adult consumers about four different front-of-pack (FOP) food labeling systems proposed by the Brazilian National Health Regulatory Agency.

This is a qualitative study conducted with 33 participants allocated in six focus groups. Four different types of FOP labels were displayed on processed and packaged bread: three interpretive warning labels (black triangle, black octagon and red ellipse) and a hybrid model (nutritional traffic light). Thematic analysis was used to identify the key topics addressed by participants.

Three topics were identified: label design, clarity and precision of information. The results demonstrated an influence of labels on product development and consumers' food choices. Most participants expressed a preference for black warning labels and reported the importance of statements endorsed by the Ministry of Health, which provide credibility and could influence food choices. Furthermore, participants agreed that the traffic light system provides more information but is difficult to interpret when comparing products. Warning labels were reported to have the greatest influence on purchase decisions. However, participants were concerned about how to understand the lack of warning labels on some products.

The results may help and support the Brazilian Health Regulatory Agency to identify and recommend the most effective FOP labeling system to be adopted in Brazil.

Few studies investigating adult consumers' perceptions of different FOP label formats have been conducted in the Brazilian context. Our study contributes to the small pool of evidence on the topic by demonstrating that FOP labels can be helpful for consumers when they are presented in an intuitive, interpretative and trustworthy format.

This review explores the phenomenon of front-of-pack nutrition labels (FoPNLs) in the European Union (EU). FoPNLs highlight the nutritional quality of food and non-alcoholic beverages and help consumers to make healthier choices. The review explores different types of FoPNLs and evaluates their effectiveness.

A policy analysis was conducted, relying on extant academic literature, grey literature and policy documents. The use of current FoPNLs is interpreted in light of national and economic interests.

Our review identifies and describes seven government endorsed FoPNLs that are currently used in the EU. Five are positive endorsement labels (Croatia, Czech Republic, Denmark, Lithuania, Slovenia and Sweden), which only provide a positive indication on more healthy products. The Keyhole is used in three EU countries (Denmark, Lithuania and Sweden), while the others are used in one country each. The Nutri-Score represents a summary label, which provides an overall grade of how healthy a product is. It is used in six countries (Belgium, France, Germany, Netherlands, Spain and Luxembourg). Finally, the Nutrinform battery is a nutrient-specific non-interpretive scheme, indicating the content of nutrients in a portion of a food product. All identified labels are only used on a voluntary basis, encouraging selective use.

This review contributes to a significant discussion about food labeling in the EU. It summarizes existing approaches and evaluates them in terms of their effectiveness. The current schemes in use reflect regional clustering. The most common scheme is the Nutri-Score. This is predominantly found in western EU states. Another major label is the Keyhole, with summary endorsement schemes being prevalent in northern EU states. The least common is Nutrinform, which has some support in southern EU states. The Nutri-score is most effective although economic interests are pushing for the Nutrinform battery in a small number of states. Finally, the review suggests that all existing FoPNLs are voluntary, these labels fail to provide consumers with adequate information about nutrition quality of food products. The EU needs to mobilize support to agree on a single one.

The aim is to explore the impact of new menu labels on consumers' actual meal purchases with a field experiment undertaken in a local restaurant.

The author used a field experiment in a natural eating environment at a restaurant to investigate the effect of restaurant menu labelling on consumers' meal choices and opinions on the use of nutritional labels on menus. The experiment included control and treatment conditions in which we offered customers unlabelled and labelled menus, respectively. After individuals' dining experience, the data on meal choices and attitudes to menu labelling was collected via a brief questionnaire. The author then performed inferential statistical analysis to test differences between the control and treatment conditions and logistic regression analysis to explore further what predicts the probability of labels being influential on meal choice.

The study finds that the information provided to the consumers on restaurant menus matters. The more useful the information is perceived by consumers, the more likely the labels will influence their choices. Calorie content and the walking minutes to burn those calories on labels were considered the most useful aspect of the menu labels.

The study contributes to a better understanding of the impact of menu labelling on actual meal purchases, as well as the best way to communicate calorie and nutrient information to consumers. The author also shares her experience designing a field experiment with a restaurateur for future research.

Nutrition 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.

A 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.

Participants 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%).

The 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.

This study analyzed the factors affecting visual attention toward sugar-reduction information (SRI) on sugar-reduced beverages (SRBs) and identified the most optimal SRI type and location using eye-tracking. The eye-tracking results were compared with those of a self-reported questionnaire.

An eye-tracking experiment was conducted on 50 Korean people in their 20s and 30s to analyze implicit responses. Subsequently, a self-reported questionnaire was administered to analyze explicit responses, facilitating the investigation of perceptions, attitudes, preferences, intentions to purchase SRBs, and preferred SRI types and positions.

The results were as follows. First, personal trait-, state-, and product-related factors were found to affect eye movement in relation to SRI. Second, eye-tracking revealed that SRI types and locations that drew long-lasting fixation and attracted considerable attention were similar to those preferred in the self-reported questionnaire. Therefore, to efficiently convey information on SRBs, SRI should be combined with a graphic, and not merely a word, and placed in the upper-right corner, exhibiting consistency with the results of two previous experiments.

This study specifically focused on considering personal and product-related traits while conducting an eye-tracking experiment to investigate the factors that attract consumers' attention. Furthermore, this study is the first to investigate the use of SRI labels to promote SRB selection. What is significant is that both explicit and implicit responses were assessed and compared via a self-reported survey and eye-tracking experiments for various SRB categories.

This study aims to reveal the presence of products with negatively correlated nutrients in the marketplace and their implications for consumer choices. It also investigates the role of an overall simplified nutrition scoring system (SNSS) – health star rating (HSR), in improving the healthiness of consumer choices.

Three (lab, online and eye-tracking) experiments investigate the effects of negatively correlated nutrients and the mitigating role of an overall SNSS for consumers’ food choices. A final panel-data study analyzes the changes in actual food purchases after the introduction of HSRs (an SNSS) in Australia.

Experimental results show that consumers use a decision strategy based on a dominant nutrient to choose food products, which creates health halos and leads to less healthy choices when products have negatively correlated nutrients. The presence of an overall SNSS leads to more accurate healthiness perception and healthier choices. Panel data analysis shows that the healthiness of consumer food purchases increased after the introduction of HSRs.

The study investigated the effect of an overall SNSS on specific categories, but not on the overall shopping basket.

For policymakers, this paper shows that overall SNSS helps consumers choose healthier options. Food manufacturers and retailers could be motivated to formulate healthier products when consumers choose healthier options.

This is the first study to document the presence of products with negatively correlated nutrients and their implications for consumer choices. It highlights the unique role of an overall SNSS, in helping consumers identify healthier options when products have negatively correlated nutrients.

This study aims to examine consumers' purchasing and consumption behavior regarding big data embedded in packaged food post-Covid-19. The second purpose is to determine whether consumer purchasing behavior varies depending on the variety and volume of big data on food packages.

Semi-structured interviews were conducted to investigate consumer sentiment regarding big embedded data in packaged foods during purchasing. Based on samples from packaged foods sold in international chain stores, interview data collected from 24 participants were subjected to systematic analytical procedures.

The results revealed that before Covid-19, consumers had positive thoughts about the expiration date, brand, and product contents but did not care much about other data. At the same time, post-Covid-19, there were changes in their attitudes and behaviors on this issue. Post-Covid-19, it has been observed that consumers have positive attitudes and behaviors toward human health and food safety issues regarding unprocessed big data in packaged foods.

This study provides a different perspective on consumer purchasing behavior through big data on packaged foods post-Covid-19. Embedded information in packaged foods provides important data regarding consumer purchasing behavior. As a powerful source of consumer sentiment, this data also provides a reference for consumer purchasing decisions.

The purpose of this study is to investigate genetically modified food labeling effects on dietary restrained consumers’ perception and purchase intention based upon various labels and food type – whole versus processed.

A 2 (food type: whole vs processed) × 2 (product label: genetically modified organism [GMO] vs nongenetically modified organism [non-GMO]) research design was used in two steps. In the first step, the authors distributed 1,000 surveys, of which 858 surveys were used, and in the second step, the authors distributed 1,000 surveys and were able to use 891 surveys.

Results show that respondents with higher levels of dietary restraint have higher levels of perceived healthfulness. In addition, respondents with higher perceived healthfulness levels have a higher level of purchase intention for whole/GMO products, whole/non-GMO products, processed/GMO products and processed/non-GMO products. Moreover, the results show that individuals have higher purchase intention for whole/non-GMO than the whole/GMO products, whole/GMO than the processed/non-GMO products and processed/non-GMO than the processed/GMO products.

A future longitudinal study with assigned tracking numbers is suggested. Given that four different blocks were randomized, comparing data among individual participants would be interesting, as the ability to compare responses would be feasible among the four separate blocks.

The results of this study may assist the government in policy development, food manufacturers in labeling techniques used and consumers by increasing transparency and information availability.