Do Consumers Want More Nutritional and Health Information on Wine Labels? Insights from the EU and USA

The global strategy to reduce the harmful use of alcohol launched in 2010 by the World Health Organization includes, amongst several areas of recommended actions, providing consumer information about, and labelling, alcoholic beverages to indicate alcohol-related harm. Labelling requirements worldwide for alcoholic drinks are currently quite diverse and somewhat limited compared to labelling on food products and on tobacco. In this context, the current paper contributes to the academic and political debate on the inclusion of nutritional and health information on wine labelling, providing some insights into consumer interest in, and preferences for, such information in four core wine-producing and -consuming countries: Italy, France, Spain, and the United States of America. A rating-based conjoint analysis was performed in order to ascertain consumer preferences for different formats of additional information on wine labels, and a segmentation of the sample was performed to determine the existence of homogeneous groups of consumers in relation to the degrees of usefulness attached to the nutritional and health information on wine labels. Our results highlight the interest expressed by European and United States consumers for introducing nutrition and health information on wine labels. However, the results of conjoint analysis show some signi\ufb01cant differences among stated preferences of the information delivery modes in different countries. In addition, segmentation analysis reveal the existence of signi\ufb01cant differences between consumer groups with respect to their interest in receiving additional information on wine labels. These differences are not only linked to the geographic origin of the consumers, or to socio-demographic variables, but are also related to wine consumption habits, attitudes towards nutritional information, and the degree of involvement with wine. This heterogeneity of consumer preferences indicates a need for a careful consideration of wine labelling regulations and merits further investigation in order to identify labelling guidelines in terms of the message content and presentation method to be used

Portuguese Retailers’ Motivations to Adopt Front of Pack Nutrition Labels: A Qualitative Analysis

Nutrition is an important food marketing differentiation criterion. There is growing evidence of the relation between diets and health conditions. Thus there is a potential conflict between industry and public health authorities over the use of nutrition labels. Understanding industry motivations for simplified nutrition labels use is paramount to scrutinize market dynamics, improve label policy design and its evaluation. The aim of this research is to ascertain how retailers perceive consumer’s attitudes to nutrition labels and what motivates their use. We conducted in-depth semi-structure interviews with senior managers in leading Portuguese retail chains. Our results suggest that retailers’ adopt FOP to aid their customers’ food choices, as a response to competitors’ moves and preempt labeling regulations. However, respondents were concerned on whether nutrition labels added value to their business, has a negative impact on sales in certain food categories and may hinder relations with suppliers.Nutrition labels, retailers, semi-structured interviews, content analysis, Food Consumption/Nutrition/Food Safety, Q18, M31, M38, M14,

The effect of spatial position of calorie information on choice, consumption and attention. ESRI WP615, February 2019

We report a “lab-in-the-field” experiment designed to test the impact of posting calories on menus. The study adds substantially to previous work by testing different spatial arrangements of price and calorie information. Choices were real, not hypothetical, and participants were unaware that their lunch choice was part of a study, even though their eye-movements were being tracked. Participants exposed to calorie information ordered 93 fewer calories (11%) relative to a control group. The impact was strongest when calorie information was presented on menus just to the right of the price, in an equivalent font. The difference in number of calories consumed was greater still. These effects were mediated by knowledge of the amount of calories in the meal, implying that calorie posting led to more informed decision making. There was no impact on enjoyment of the meal. Eye-tracking data suggested that this arrangement altered the decision process such that greater decision weight was given to calorie content

Types of fruits and vegetables used in commercial baby foods and their contribution to sugar content

Fruits and vegetables (F&V) are often featured in names of commercial baby foods (CBFs). We aimed to survey all available CBFs in the UK market with F&V included in the food name in order to describe the amount and types of F&V used in CBF and their contribution to total sugar content. Food labels were used to identify F&V and total sugar content. Fruits were more common than vegetables in names of the 329 CBFs identified. The six most common F&V in the names were all relatively sweet: apple, banana, tomato, mango, carrot and sweet potato. The percentage of F&V in the foods ranged from a median of 94% for sweet-spoonable to 13% for dry-savoury products. Fruit content of sweet foods (n = 177) was higher than vegetable content of savoury foods (n = 152) with a median (IQR) of 64.0 g/100 g (33.0–100.0) vs. 46.0 g/100 g (33–56.7). Fruit juice was added to 18% of products. The proportion of F&V in CBF correlated significantly with sugar content for all the food types except dry-savoury food (sweet-spoonable r = 0.24, P = 0.006; savoury-spoonable r = 0.65, P < 0.001; sweet-dry r = 0.81, P < 0.001; savoury-dry r = 0.51, P = 0.06) and explained up to two-thirds of the variation in sugar content. The F&V content of CBFs mainly consists of fruits and relatively sweet vegetables which are unlikely to encourage preferences for bitter-tasting vegetables or other non-sweet foods. F&V contribute significantly to the total sugar content, particularly of savoury foods

Consumer understanding and nutritional communication: key issues in the context of the new EU legislation

Background Nutrition communication by means of nutrition and health claims and otherwise, holds the potential to contribute to public health by stimulating informed healthier food choices and enhanced healthfocussed competition in the market place, provided that the health messages are trustworthy (i.e. scientifically substantiated) and correctly used and interpreted by the consumer. Not surprisingly, these two considerations constitute the cornerstone of the new EU legislation on nutrition and health claims, in which evidence for consumer understanding of nutrition and health claims is a new requirement. Aim of the study To review some of the key issues in consumer understanding of nutritional communication as a basis for reflection on the consumer understanding element of the new EU legislation on nutrition and health claims. Conclusions There is a need for more methodologically advanced research in consumer understanding of nutrition and health claims as a basis for truly assessing the real-life use of such information and its actual effect on consumer food choices. Such approaches are pertinent in light of the evaluation and approval process of (new) nutrition and health claims as required under the new EU legislation on nutrition and health claims

Just the Financial Facts Please! A Secret Survey of Financial Services in San Francisco's Mission District

Examines the costs and dynamics of borrowing $1,000 from various financial service providers in a historic immigrant community. Proposes Financial Facts labels and a Responsible Lending and Borrowing Checklist to increase residents' financial capability

An ontology to standardize research output of nutritional epidemiology : from paper-based standards to linked content

Background: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output. To enable the description of domain-specific output in nutritional epidemiology, we propose the Ontology for Nutritional Epidemiology (ONE) according to authoritative guidance for nutritional epidemiology. Methods: Firstly, a scoping review was conducted to identify existing ontology terms for reuse in ONE. Secondly, existing data standards and reporting guidelines for nutritional epidemiology were converted into an ontology. The terms used in the standards were summarized and listed separately in a taxonomic hierarchy. Thirdly, the ontologies of the nutritional epidemiologic standards, reporting guidelines, and the core concepts were gathered in ONE. Three case studies were included to illustrate potential applications: (i) annotation of existing manuscripts and data, (ii) ontology-based inference, and (iii) estimation of reporting completeness in a sample of nine manuscripts. Results: Ontologies for food and nutrition (n = 37), disease and specific population (n = 100), data description (n = 21), research description (n = 35), and supplementary (meta) data description (n = 44) were reviewed and listed. ONE consists of 339 classes: 79 new classes to describe data and 24 new classes to describe the content of manuscripts. Conclusion: ONE is a resource to automate data integration, searching, and browsing, and can be used to assess reporting completeness in nutritional epidemiology

Hierarchical Attention Network for Visually-aware Food Recommendation

Food recommender systems play an important role in assisting users to identify the desired food to eat. Deciding what food to eat is a complex and multi-faceted process, which is influenced by many factors such as the ingredients, appearance of the recipe, the user's personal preference on food, and various contexts like what had been eaten in the past meals. In this work, we formulate the food recommendation problem as predicting user preference on recipes based on three key factors that determine a user's choice on food, namely, 1) the user's (and other users') history; 2) the ingredients of a recipe; and 3) the descriptive image of a recipe. To address this challenging problem, we develop a dedicated neural network based solution Hierarchical Attention based Food Recommendation (HAFR) which is capable of: 1) capturing the collaborative filtering effect like what similar users tend to eat; 2) inferring a user's preference at the ingredient level; and 3) learning user preference from the recipe's visual images. To evaluate our proposed method, we construct a large-scale dataset consisting of millions of ratings from AllRecipes.com. Extensive experiments show that our method outperforms several competing recommender solutions like Factorization Machine and Visual Bayesian Personalized Ranking with an average improvement of 12%, offering promising results in predicting user preference for food. Codes and dataset will be released upon acceptance

Breaking Down the Chain: A Guide to the Soft Drink Industry

Provides an overview of the soft drink industry's earnings, structure, markets, and determinants of demand; major players; supply chain; marketing strategies; and policy and legislative actions in response to the sugar-sweetened beverage tax