Effective National Menu Labeling Requires Accuracy and Enforcement

Availability of calorie information on online menus from chain restaurants in the USA: current prevalence and legal landscape

OBJECTIVE

Federal law requires calorie information on chain restaurant menus. We sought to assess the prevalence of calorie disclosures on online menus and determine if the menus are controlled by restaurants subject to US labelling requirements.

DESIGN

Cross-sectional.

SETTING

Restaurant websites and mobile apps for restaurant located in New York City, Los Angeles, Chicago, and Houston.

PARTICIPANTS

US chain restaurants (top seventy-five by number of outlets) and third-party platforms (TPP): Grubhub, Uber Eats, DoorDash.

RESULTS

There was at least one calorie disclosure (for at least one food or beverage, in at least one location) on sixty-eight of seventy-two (94 %) menus on restaurant websites or apps, thirty-two of fifty-five (58 %) menus on DoorDash, six of forty-nine (12 %) menus on Grubhub and thirty of fifty-nine (51 %) menus on Uber Eats. There was consistent calorie labelling (all foods and beverages, all locations) on forty-three of seventy-two (60 %) menus on restaurant websites or apps, fifteen of fifty-five (27 %) menus on DoorDash, three of forty-nine (6 %) menus on Grubhub and eleven of fifty-nine (19 %) menus on Uber Eats. Only four restaurant chains consistently labelled calories for all items, in all locations, on all platforms where their menus were found. All three TPP provided restaurants the ability to enter and modify menu items, making the menus subject to US labelling requirements. Only Uber Eats provided guidance to restaurants on entering calorie information.

CONCLUSIONS

As consumers increasingly rely on TPP for restaurant ordering, menus on these platforms should include calories in order to promote transparency and nutrition.

Factors Influencing Fidelity to a Calorie Posting Policy in Public Hospitals: A Mixed Methods Study

Background: Labelling menus with nutrition information has increasingly become an important obesity policy option. While much research to-date has focused on determining its effectiveness, few studies report the extent to which menu labelling is implemented as designed. The aim of this study was to explore factors influencing fidelity to a calorie posting policy in Irish acute public hospitals.

Methods: A mixed methods sequential explanatory study design was employed, with a nested case study for the qualitative component. Quantitative data on implementation fidelity at hospitals were analysed first and informed case sampling in the follow-on qualitative phase. Maximum variation sampling was used to select four hospitals with high and low levels of implementation and variation in terms of geographic location, hospital size, complexity of care provided and hospital type. Data were collected using structured observations, unstructured non-participant observations and in-depth semi-structured interviews. The Consolidated Framework for Implementation Research guided qualitative data collection and analysis. Using framework analysis, factors influencing implementation were identified. A triangulation protocol was used to integrate fidelity findings from multiple sources. Data on influencing factors and fidelity were then combined using joint displays for within and cross-case analysis.

Results: Quantitative fidelity data showed seven hospitals were categorised as low implementers and 28 hospitals were high implementers of the policy. Across the four hospitals selected as cases, qualitative analysis revealed factors influencing implementation and fidelity were multiple, and operated independently and in combination. Factors were related to the internal hospital environment (e.g., leadership support, access to knowledge and information, perceived importance of calorie posting implementation), external hospital environment (e.g., national policy, monitoring), features of the calorie posting policy (e.g., availability of supporting materials), and the implementation process (e.g., engaging relevant stakeholders). Integrated analysis of fidelity indicated a pattern of partial adherence to the calorie posting policy across the four hospitals. Across all hospitals, there was a consistent pattern of low adherence to calorie posting across all menu items on sale, low adherence to calorie information displayed per standard portion or per meal, low adherence to standardised recipes/portions, and inaccurate calorie information.

Conclusion: Efforts to maximise fidelity require multi-level, multi-component strategies in order to reduce or mitigate barriers and to leverage facilitators. Future research should examine the relative importance of calorie posting determinants and the association between implementation strategies and shifts in fidelity to intervention core components.

Association Between Restaurant Menu Item Descriptions and Their Nutrient Content

INTRODUCTION

Item descriptions on restaurant menus often include claims about health and other attributes, and these are much less regulated than the language on packaged food labels. This study tests whether menu items with claims have different nutritional content from items without claims.

METHODS

Investigators compiled a data set of menu items, their claims, and their nutrition content using MenuStat. Data included 84,788 item-year observations at up to 96 of the top-selling restaurant chains from 2012 to 2018. Items were identified with general health, health-related ingredients, nutrient content, product sourcing, and vegan or vegetarian claims through a matching algorithm. Mixed-effects models were used to examine the effect of claims on calories, nutrients to limit (e.g., saturated fat and sodium), and other nutrients by dish types (sides, main dishes, desserts).

RESULTS

Most dishes with claims were lower in calories; however, items with claims were not consistently lower in other nutrients to limit (sodium, saturated fat, sugar, or trans fat). Vegan or vegetarian desserts had 128 mg (95% CI=20.9, 235.1) more sodium than desserts without this claim. Main and side dishes with claims had equivalent or higher sugar content than items without claims. Many items with claims were lower in saturated fat, especially main dishes with a nutrient content claim (-2.8 percentage points, 95% CI= -3.4, -2.2).

CONCLUSIONS

Items with claims were high in nutrients to limit. Additional efforts to increase transparency around excessive ingredients, such as the sodium warning labels, could be implemented by the restaurant industry.

Food Marketing as a Special Ingredient in Consumer Choices: The Main Insights from Existing Literature

The choices and preferences of food consumers are influenced by several factors, from those related to the socioeconomic, cultural, and health dimensions to marketing strategies. In fact, marketing is a determinant ingredient in the choices related to food consumption. Nonetheless, for an effective implementation of any marketing approach, the brands play a crucial role. Creating new brands in the food sector is not always easy, considering the relevant amount of these goods produced within the agricultural sector and in small food industries. The small dimension of the production units in these sectors hinders both brand creation and respective branding. In this context, it would seem important to analyse the relationships between food marketing and consumer choice, highlighting the role of brands in these frameworks. For this purpose, a literature review was carried out considering 147 documents from Scopus database for the topics of search “food marketing” and “choices” (search performed on 16 October 2020). As main insights, it is worth highlighting that the main issues addressed by the literature, concerning food marketing and consumer choices, are the following: economic theory; label and packaging; marketing strategies; agriculture and food industry; market segments; social dimensions; brand and branding. In turn, food marketing heavily conditions consumer choices; however, these related instruments are better manipulated by larger companies. In addition, this review highlights that bigger companies have dominant positions in these markets which are not always beneficial to the consumers’ objectives.

Barriers and facilitators to implementation of menu labelling interventions from a food service industry perspective: a mixed methods systematic review

Background

Eating outside the home contributes to poor dietary habits worldwide and is associated with increased body fat and weight gain. Evidence shows menu labelling is effective in promoting healthier food choices; however, implementation issues have arisen. The purpose of this systematic review was to synthesise the evidence on the perceived barriers and facilitators to implementation of menu labelling interventions from the perspective of the food service industry.

Methods

Peer-reviewed and grey literature were searched using databases, specialised search engines and public health organisation websites. Screening reference lists, citation chaining and contacting authors of all included studies were undertaken. Primary research studies relevant to direct supply-side stakeholders were eligible for inclusion. There were no restrictions on menu labelling scheme or format, study methods, publication year or language. At least two independent reviewers performed study selection, data extraction and quality appraisal. The results were synthesised using the ‘best fit’ framework synthesis approach, with reference to the Consolidated Framework for Implementation Research (CFIR).

Results

Seventeen studies met the eligibility criteria, with the majority rated as average quality (n = 10). The most frequently cited barriers were coded to the CFIR constructs ‘Consumer Needs & Resources’ (e.g. lack of customer demand for/interest in menu labelling, risk of overwhelmed/confused customers) and ‘Compatibility’ with organisation work processes (e.g. lack of standardised recipes, limited space on menus). Frequently cited facilitators were coded to the CFIR constructs ‘Relative Advantage’ of menu labelling (e.g. improved business image/reputation) and ‘Consumer Needs & Resources’ (e.g. customer demand for/interest in menu labelling, providing nutrition information to customers). An adapted framework consisting of a priori and new constructs was developed, which illustrates the relationships between domains.

Conclusion

This review generates an adapted CFIR framework for understanding implementation of menu labelling interventions. It highlights that implementation is influenced by multiple interdependent factors, particularly related to the external and internal context of food businesses, and features of the menu labelling intervention. The findings can be used by researchers and practitioners to develop or select strategies to address barriers that impede implementation and to leverage facilitators that assist with implementation effort.

Trial registration

Systematic review registration: PROSPERO CRD42017083306.