Front of package symbols as a tool to promote healthier food choices in Slovenia: Accompanying explanatory claim can considerably influence the consumer's preferences

The role of Nutri-Score and NutrInform Battery in guiding the food choices of consumers with specific nutritional needs: A controlled study

BACKGROUND AND AIMS

There is a significant knowledge gap regarding the effectiveness of front-of-pack labeling (FoPL) systems in helping food choices that meet specific nutritional requirements. This study sought to compare the effectiveness of the Nutri-Score (NS) and NutrInform Battery (NIB) labels in assisting consumers to select food products with low sodium or low saturated fat.

METHODS AND RESULTS

Utilizing a controlled experimental design, a sample of 1512 participants (aged 18-70, 50.8% females) was exposed to scenarios through computer-assisted web interviewing, where they selected food products suitable for people with suboptimal blood pressure or plasma cholesterol levels, labeled with either NS, NIB, or no label (blind). The NIB proved significantly more efficacious than NS in guiding participants towards making selections in better agreement with nutritional needs, for blood pressure or cholesterol control. Furthermore, the NIB was generally viewed more favorably, with participants rating it as more trustworthy, informative, and useful for the required task. Notably, younger participants, those with higher nutritional knowledge, and those less inclined towards intuitive or spontaneous decision-making demonstrated a greater propensity for making health-congruent food choices when using the NIB.

CONCLUSION

The findings suggest that the informative FoPL system, NIB, may offer greater advantages in addressing specific dietary requirements. This underscores the important role of FoPL systems in promoting public health and meeting diverse and specific consumer needs. Further research is needed to confirm these results in broader contexts and for additional health conditions.

Innovative AI methods for monitoring front-of-package information: A case study on infant foods

Front-of-package (FOP) is one of the most direct communication channels connecting manufacturers and consumers, as it displays crucial information such as certification, nutrition, and health. Traditional methods for obtaining information from FOPs often involved manual collection and analysis. To overcome these labor-intensive characteristics, new methods using two artificial intelligence (AI) approaches were applied for information monitoring of FOPs. In order to provide practical implementations, a case study was conducted on infant food products. First, FOP images were collected from Amazon.com. Then, from the FOP images, 1) the certification usage status of the infant food group was obtained by recognizing the certification marks using object detection. Moreover, 2) the nutrition and health-related texts written on the images were automatically extracted based on optical character recognition (OCR), and the associations between health-related texts were identified by network analysis. The model attained a 94.9% accuracy in identifying certification marks, unveiling prevalent certifications like Kosher. Frequency and network analysis revealed common nutrients and health associations, providing valuable insights into consumer perception. These methods enable fast and efficient monitoring capabilities, which can significantly benefit various food industries. Moreover, the AI-based approaches used in the study are believed to offer insights for related industries regarding the swift transformations in product information status.

Effects of Digitalized Front-of-Package Food Labels on Healthy Food-Related Behavior: A Systematic Review

Front-of-package (FOP) food labels may impact healthy food-related behavior. However, such labels may be presented using new technology and they may impact behavior differently than physical labels. This systematic review investigated the effects of physical and digitalized labels on healthy food-related behavior. This review used four search engines to collect articles that investigated the effects of food labels on the purchase, consumption, hypothetical choice, and self-reports of healthy foods. General findings, types of labels, or whether the articles used physical versus digitalized static, interactive, or technology-enabled labels were synthesized. The dependent variables were categorized according to whether they were under full, partial, or no control of the independent variables. The risk of bias was measured by the RoB 2 tool and adapted Joanna Briggs Institute Checklist. The search strategy identified 285 records and 30 articles were included. While digitalized static and physical labels did not differ in their effects on healthy food-related behavior, technology-enabled labels were more predictive of healthy food-related behavior than interactive labels.

Food labeling in the European Union: a review of existing approaches

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Effects on Consumers' Subjective Understanding and Liking of Front-of-Pack Nutrition Labels: A Study on Slovenian and Dutch Consumers

In the context of the ongoing debate on front-of-pack labels (FOPL), extant research highlights a lack of clear indications on which label is most effective in increasing consumers' knowledge of food nutritional quality, and in favoring informed food choices. In this study, we have compared the effects of two different labels, one nutrient-specific label (i.e., NutrInform Battery) and one summary label (i.e., Nutri-Score), in terms of consumers' "subjective understanding" and "liking". Our work advances prior research on FOPL performance by focusing on two different countries-which have different socio-political contexts and which, from previous studies, present limited evidence on the topic-Slovenia, currently utilizing the Protective Food logo, and the Netherlands, who has recently adopted the Nutri-Score. The study also confirms, in line with previous research, a higher effectiveness of the nutrient-specific label, NutrInform Battery, on all analyzed dimensions in tested countries, when compared to the summary label, Nutri-Score.

Use of Facebook, Instagram, and Twitter for recruiting healthy participants in nutrition-, physical activity-, or obesity-related studies: a systematic review

BACKGROUND

There are limited systematic reviews exploring the use of social media for recruiting participants specifically for nutrition-, physical activity-, and obesity-related studies.

OBJECTIVES

The aim was to conduct a systematic review on the effectiveness of using social media (Facebook, Instagram, and Twitter) for recruiting healthy participants in nutrition-, physical activity-, or obesity-related studies.

METHODS

Studies were identified from 5 databases and included if they reported the number of participants recruited by social media (Facebook, Instagram, or Twitter) vs. traditional (print, e-mail, etc.). The effectiveness of recruitment was compared between methods by study procedures (in-person vs. online procedures). The cost-effectiveness of methods was also explored. The protocol was published in the Prospero database (ID# CRD42020204414).

RESULTS

Twenty-six studies were included. Among studies with both types of recruitment methods, 49% of the sample was reached through traditional methods, 40% through social media, and the rest by other methods. For in-person study procedures, the median number of participants recruited using social media was 19 (range: 3-278) and for online study procedures, it was 298 (range: 3-17,069). Median recruitment cost using social media (n = 14 studies) was $11.90 (range: $0-517) per participant, while this varied considerably for traditional methods depending on how it was calculated ($214, $18.9-$777). The ratio of participants reached vs. recruited was 0.12%; the overall ratio of participants interactions vs. recruited was 21.2%.

CONCLUSIONS

For in-person study procedures, traditional recruitment methods were more effective than social media, but for online study procedures, about half reported that social media was more effective. While more potential participants were reached through social media, only 21.2% of those who interacted with ads were enrolled. With the increased use of social media, their use for recruitment may be more frequent; therefore, future reviews may show different results.

Consumption, Attitudes, and Trends of Vending Machine Foods at a University Campus: A Cross-Sectional Study

Vending machines (VMs) have been identified as an obesogenic factor, offering mainly energy-dense and nutrient-poor foods, with limited healthy options available. This cross-sectional study aimed to assess consumption trends and attitude toward vending machine (VM) foods in a university setting. A web-based survey was conducted among 1250 students and staff. Most participants reported weight gain (43.4%) and poorer food choices (53.4%) since joining the university. Participants described VM foods as expensive (53.7%) and lacking variety (34.3%). Over 81% demanded the availability of healthier options. About 75% of participants were VMs users. The most frequently purchased VM items were water, chocolate, and chips. Males reported consuming nuts, soda, iced tea, and energy drinks more frequently than females (p < 0.005). The main reasons for using the VM were hunger and lack of time. Over 40% nominated fresh fruits, baked chips, sandwiches, and dry roasted nuts to be provided in the VMs as healthier food options. Males and those responsible for buying their own food were more likely to select healthier options (p = 0.001). Findings can be used to inform stakeholders of current vending behaviors and to plan tailored interventions to improve the nutritional quality of vended items and promote healthier food choices.

Toward Healthier Cookie Habits: Assessing the Role of Packaging Visual Appearance in the Expectations for Dietary Cookies in Digital Environments

As we tend to consume more and more via e-commerce platforms, the digital version of a dietary product's package can be one of the most important touchpoints that the consumer has with such product during the purchasing stage of the consumer's journey. Hence, a dietary food/drink properly presented via its packaging in e-commerce is key, for example, to nudge consumers toward healthier purchase habits. In this study, we assessed the role of different configurations of visual cues commonly present in a product's packaging (jar vs. bag, transparent vs. opaque, labeled vs. unlabeled) in the expectations associated with dietary cookies when presented in a digital environment. A between-participants study was conducted where eight different packages with different combinations of the three aforementioned features were digitally evaluated by the participants. The results suggest that the presence (vs. absence) of labeling triggered the highest ratings on most assessed dimensions (product quality, healthiness, lightness, sweetness, crumbliness, price, tastiness, greediness for product, product/packaging liking). Moreover, transparent (vs. opaque) packaging tends to yield higher expectations concerning this product's quality (i.e., product liking, package liking, greediness), though it has an opposite effect on the expected healthiness for such cookies. Some particular interactions between these three visual cues were also observed and are discussed as part of the obtained results. In summary, our results point to how the visual appearance of packaging can be strategically used in order to potentially nudge consumers toward healthier cookie purchase habits.

Heart Images on Food Labels: A Health Claim or Not?

Health claims on food labels are used by food manufacturers to inform consumers about the health effects of a product, and such claims can have notable effects on consumer preferences. According to regulatory definitions, health claims can be either worded or presented as images, but it is not clear under which conditions an image on a food label should be considered a health claim. This question has important practical implications, as the use of health claims is strictly regulated. The objective of this study was to determine how commonly images of the heart are used on food labels, and to investigate consumers’ perceptions of products labelled with heart images, using different degrees of health relationships. Both a food supply study (N = 10,573 foods) and experiments with consumers (N = 1000) were performed in Slovenia. The use of heart imagery on food products was very common (9%). The consumer study was conducted using a web panel. Structure of the study population was comparable with Slovenian adult population (18–65 years), according to gender and age. The questionnaire was split into conjoint analysis with constructed elements, a choice-based task with real-life elements and a consumers’ association task. The experiments showed that a heart image as part of the brand name itself—without an additional (worded) health claim—did not cause most consumers to relate it to health. However, consumers tended to strongly relate an image of the heart as part of a brand with health benefits, where the image was accompanied by a worded health claim or if the heart image was designed specifically to imply health benefits. We can conclude that the use of heart images was very common on food products, but references to health were less common. Without a health-related context, heart images could not be considered as a health claim.

Facilitating Consumers Choice of Healthier Foods: A Comparison of Different Front-of-Package Labelling Schemes Using Slovenian Food Supply Database

Summary indicator front-of-package nutrition labelling schemes are gaining momentum. In Europe, an example of such a scheme is Nutri-Score, which was first introduced in France. Supported by additional research, the scheme has the potential to expand into other countries. Such a scenario opens a series of questions related to the use of Nutri-Score in the territories with pre-existing food labelling schemes. A key question is whether different nutrition labelling schemes would provide conflicting information for consumers when applied to same foods. The goal of our study was, therefore, to evaluate the alignment of different front-of-package nutrition labelling schemes. The study was conducted using cross-sectional data on the composition of selected categories of prepacked foods with high penetration nutrition/health claims and symbols in the Slovenian food supply. We evaluated a variety of existing front-of-package nutrition labelling schemes: three interpretive nutrition rating systems (Nutri-Score, Health Star Rating (HSR), Traffic light system), four health symbols (Protective Food symbol, Choices, Finnish heart, and Keyhole symbol), and also three nutrient profile models developed for other purposes (Office of Communications (United Kingdom, Ofcom), World Health Organization Regional office for Europe (WHOE) and Food Standards Australia New Zealand (FSANZ)). Overall, our results indicate that interpretive nutrition rating systems (i.e., Nutri-Score) are mostly less strict than the nutrient profiles of tested health symbols. A risk of conflicting information would happen in a scenario where food is eligible to carry a health symbol, but is at the same time rated to have lower nutritional quality by an accompanying interpretive nutrition rating system. When Protective Food symbol and Nutri-Score are used together, this would occur for 5% of foods in our sample. To avoid such risks, schemes for health symbols could be adapted to be stricter than interpretive nutrition rating systems used in the same territory/market, but such adaptations are challenging and should be well planned. While our study showed that, in most cases, Nutri-Score is a less strict model than tested health symbols, the rating-system approach might offer useful support and incentive for food producers towards gradual food reformulation.

Setting Policy Priorities for Front-of-Pack Health Claims and Symbols in the European Union: Expert Consensus Built by Using a Delphi Method

Despite the fact that front-of-pack nutrition labels such as health claims and symbols have received growing attention in consumer behavior research, comprehensive conclusions could not yet be drawn to develop concrete policy actions, owing to the complexity of the subject and a constantly changing market environment. In this study, evidence-based policy recommendations and communication guidelines have been derived from the findings of the EU FP7 project CLYMBOL ("Role of health-related CLaims and sYMBOLs in consumer behavior", Grant Agreement 311963), and have been evaluated and prioritized by European stakeholders using a three-round Delphi method. A moderate level of consensus was achieved and results suggest that policy priority should focus on ways to improve consumer motivation and interest in healthy eating. Consumers' interest in healthy eating could be increased by adopting appropriate communication strategies such as using innovative ways to communicate the importance of healthy eating, which may aim to change the possible negative association between healthiness and tastiness. The highest-rated finding was related to consumers' favorable attitude towards health claims with shorter and less complex messages and health symbols with a visible endorsement. Meanwhile, there was a clear consensus that health claims need to be scientifically substantiated and credible but phrased without using overly complex scientific wordings, in order to be meaningful for consumers. Furthermore, stakeholders from academia and industry believe that consumer awareness about existing health claims should be increased. The identified policy recommendations and communication guidelines stem from recent empirical evidence and provide useful insights that guide future policy development aligning consumer protection issues as well as public health and food marketing communication interests.

Nutrient Profiling Is Needed to Improve the Nutritional Quality of the Foods Labelled with Health-Related Claims

Health-related claims on food products influence consumers and their food preferences. None of the European countries have restricted the use of health claims to foods of high nutritional quality despite the regulatory background provided by the European Union in 2006. We evaluated the nutritional quality of foods labelled with claims available in the Slovenian market using two nutrient profile models—Food Standards Australia New Zealand (FSANZ) and European World Health Organization Regional office for Europe model (WHOE)—and compared the results to the nutritional quality of all available foods. Data for prepacked foods in the Slovenian food supply were collected in 2015 on a representative sample (n = 6619) and supplemented with 12-month product sales data for more accurate assessments of the food supply. A considerable proportion of foods labelled with any type of health-related claim was found to have poor nutritional quality. About 68% of the foods labelled with health-related claims passed FSANZ criterion (75% when considering sales data) and 33% passed the WHOE model (56% when considering sales data). Our results highlight the need for stricter regulations for the use of health-related claims and to build upon available nutrient profiling knowledge to improve nutrition quality of foods labeled with health-related claims.

In search of a consumer-focused food classification system. An experimental heuristic approach to differentiate degrees of quality

The present paper focuses on the problems that arise in food classification systems (FCSs), especially when the food product type has different levels or grades of quality. Despite the principal function of these systems being to assist the consumer (to inform, clarify and facilitate choice and purchase), they frequently have the opposite effect. Thus, the main aim of the present research involves providing orientations for the design of effective food classification systems. To address this objective, considering the context of food product consumption (related to heuristic processing), we conducted an experimental study with 720 participants. We analysed the usefulness of heuristic elements by a factorial 2 (category length: short and long) × 3 (visual signs: colours, numbers and images) design in relation to recall and recognition activities. The results showed that the elements used to make the classification more effective for consumers vary depending on whether the user seeks to prioritize the recall or the recognition of product categories. Thus, long categories with images significantly improve recognition, and short categories with colours improve recall. A series of recommendations are provided that can help to enhance FCSs and to make them more intuitive and easier to understand for consumers. Implications with regard to theory and practice are discussed.

A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics

the availability of information about food products may be an essential factor in the consumer's value perception in their purchasing decision. As the food product becomes personalized, the customization of this information becomes complex due to the possible combinations of product components. The use of smart technology in devices is one way to provide customers with customized food information. In the following research five attributes were identified in the composition of these devices: (A) portability; (B) precision; (C) diet customization; (D) food quality analysis; and (E) price. This study aims to identify the appropriate combination of possible functionalities or attributes that must be present in a device in order to detect the food composition of customized foods and their relation to market characteristics. One experiment used fractional factorial project to present the attributes in the form of scenarios following the Choice-Based Conjoint Analysis (CBCA) method. The data collection was done using survey methodology, through online questionnaire, with some 303 Brazilian respondents. So, the Logistic Regression was applied to data analysis. The moderating variables-gender, age, gluten restriction, lactose restriction and other restrictions-were also added to verify potential interactions with the primary attributes. From the results obtained, it was possible to observe higher significance for the primary attributes of diet personalization and quality food analyzes function. Our study contributes to the literature by enhancing the understanding about what the attributes should be in a technological device that has the purpose of recognizing food characteristics and is capable of generating information about customized food products. Furthermore, this device can enabler the production of mass customized food with the nutritional labels for each possible combination.