Changes in energy content of lunchtime purchases from fast food restaurants after introduction of calorie labelling: cross sectional customer surveys

Prevalence of menu label use and its association with calorie intake among US adults

The 2018 Federal Menu Labeling regulations require restaurants and similar retail food establishments that are part of a chain with 20 or more locations to provide calorie and other nutrition information for standard menu items. In this study, we describe the sociodemographic correlates of prevalence of menu label use at Food-Away-From-Home (FAFH) establishments and estimate the association between menu label use and calorie intake. We use nationally representative data spanning the years 2007-2018 and multivariable logit regression and ordinary least squares regression models. For FAFH establishments, we find that female respondents have about 26% (95% CI = [1.14, 1.39]) higher odds of using menu labels. Respondents with high school degree have 51 percent higher odds (95% CI = [1.24, 1.85]), respondents with some college education have 107 percent higher odds (95% CI = [1.74, 2.47]) of seeing menu labels. Higher income is associated with 12% (95% CI = [1.08, 1.15]) greater odds of seeing menu labels. Hispanic respondents have 29% (95% CI = [0.62, 0.81]) lower odds of seeing and 79% (95% CI = [1.41, 2.29]) higher odds of using menu labels. Black respondents have 54% (95% CI = [1.35,1.75] higher odds of seeing menu labels at sit-down restaurants. Menu label users at fast-food restaurants reported consuming 202 kcal (95% CI = [-252,-153]) fewer total calories than nonusers and menu label users at sit-down restaurants reported using 181 kcal (95% CI = [-256,-106]) fewer total calories than nonusers. Our findings highlight the sociodemographic disparities in menu label use and provide baseline estimates for future studies evaluating the federal menu labeling regulation.

Menu Labeling and Calories Purchased in Restaurants in a US National Fast Food Chain

Importance

Menu labeling has been implemented in restaurants in some US jurisdictions as early as 2008, but the extent to which menu labeling is associated with calories purchased is unclear.

Objective

To estimate the association of menu labeling with calories and nutrients purchased and assess geographic variation in results.

Design, Setting, and Participants

A cohort study was conducted with a quasi-experimental design using actual transaction data from Taco Bell restaurants from calendar years 2007 to 2014 US restaurants with menu labeling matched to comparison restaurants using synthetic control methods. Data were analyzed from May to October 2023.

Exposure

Menu labeling policies in 6 US jurisdictions.

Main Outcomes and Measures

The primary outcome was calories per transaction. Secondary outcomes included total and saturated fat, carbohydrates, protein, sugar, fiber, and sodium.

Results

The final sample included 2329 restaurants, with menu labeling in 474 (31 468 restaurant-month observations). Most restaurants (94.3%) were located in California. Difference-in-differences model results indicated that customers purchased 24.7 (95% CI, 23.6-25.7) fewer calories per transaction from restaurants in the menu labeling group in the 3- to 24-month follow-up period vs the comparison group, including 21.9 (95% CI, 20.9-22.9) fewer calories in the 3- to 12-month follow-up period and 25.0 (95% CI, 24.0-26.1) fewer calories in the 13- to 24-month follow-up period. Changes in the nutrient content of transactions were consistent with calorie estimates. Findings in California were similar to overall estimates in magnitude and direction; yet, among restaurants outside of California, no association was observed in the 3- to 24-month period. The outcome of menu labeling also differed by item category and time of day, with a larger decrease in the number of tacos vs other items purchased and a larger decrease in calories purchased during breakfast vs other times of the day in the 3- to 24-month period.

Conclusions and Relevance

In this quasi-experimental cohort study, fewer calories were purchased in restaurants with calorie labels compared with those with no labels, suggesting that consumers are sensitive to calorie information on menu boards, although associations differed by location.

The impact of calorie labelling and proportional pricing on out of home food orders: a randomised controlled trial study using a virtual food and drink delivery app

BACKGROUND

Mandatory calorie labelling in the out-of-home food sector was introduced in England in 2022, and menu pricing strategies that ensure cost is equivalent to portion size (proportional pricing) have been proposed as a policy to reduce obesity. Food delivery app-based platforms now contribute significantly to diet, and evidence suggests that those at a socioeconomic disadvantage may have greater exposure to unhealthy options on these platforms. However, public health policies to improve nutritional quality of food ordered from food delivery apps has received limited examination.

OBJECTIVE

This experimental study assessed the impact of calorie labelling and proportional pricing on item and meal size selection, calories ordered, and money spent when selecting food and drinks from three outlet types on a virtual delivery app.

METHODS

UK adult participants (N = 1126, 49% female), stratified by gender and education level completed an online study where they ordered items from three branded food and beverage outlets (coffee shop, sandwich outlet, fast food outlet) using a virtual delivery app. Participants were presented food and beverage options with vs. without calorie labels and with value (larger portions are proportionally cheaper) vs. proportional pricing.

RESULTS

Calorie labelling did not influence portion size selection for any outlets, but significantly reduced calories ordered from the coffee shop (-18.95kcals, 95% CI -33.07 to -4.84) and fast food outlet (-54.19kcals, 95% CI -86.04 to -22.33). Proportional pricing reduced the likelihood of choosing a larger beverage from the coffee shop (OR = 0.58, 95% CI 0.45 to 0.75), but was associated with increased calories ordered from the fast food outlet (51.25kcals, 95% CI 19.59 to 82.90). No consistent interactions were observed with participant characteristics, suggesting that effects of calorie labelling and pricing on outcomes were similar across sociodemographic groups.

CONCLUSIONS

Calorie labelling on food delivery platforms may effectively reduce calories ordered. Proportional pricing may be useful in prompting consumers to select smaller portion sizes, although further research in real-world settings will now be valuable.

One Digital Health Intervention for Monitoring Human and Animal Welfare in Smart Cities: Viewpoint and Use Case

Smart cities and digital public health are closely related. Managing digital transformation in urbanization and living spaces is challenging. It is critical to prioritize the emotional and physical health and well-being of humans and their animals in the dynamic and ever-changing environment they share. Human-animal bonds are continuous as they live together or share urban spaces and have a mutual impact on each other's health as well as the surrounding environment. In addition, sensors embedded in the Internet of Things are everywhere in smart cities. They monitor events and provide appropriate responses. In this regard, accident and emergency informatics (A&EI) offers tools to identify and manage overtime hazards and disruptive events. Such manifold focuses fit with One Digital Health (ODH), which aims to transform health ecosystems with digital technology by proposing a comprehensive framework to manage data and support health-oriented policies. We showed and discussed how, by developing the concept of ODH intervention, the ODH framework can support the comprehensive monitoring and analysis of daily life events of humans and animals in technologically integrated environments such as smart homes and smart cities. We developed an ODH intervention use case in which A&EI mechanisms run in the background. The ODH framework structures the related data collection and analysis to enhance the understanding of human, animal, and environment interactions and associated outcomes. The use case looks at the daily journey of Tracy, a healthy woman aged 27 years, and her dog Mego. Using medical Internet of Things, their activities are continuously monitored and analyzed to prevent or manage any kind of health-related abnormality. We reported and commented on an ODH intervention as an example of a real-life ODH implementation. We gave the reader examples of a "how-to" analysis of Tracy and Mego's daily life activities as part of a timely implementation of the ODH framework. For each activity, relationships to the ODH dimensions were scored, and relevant technical fields were evaluated in light of the Findable, Accessible, Interoperable, and Reusable principles. This "how-to" can be used as a template for further analyses. An ODH intervention is based on Findable, Accessible, Interoperable, and Reusable data and real-time processing for global health monitoring, emergency management, and research. The data should be collected and analyzed continuously in a spatial-temporal domain to detect changes in behavior, trends, and emergencies. The information periodically gathered should serve human, animal, and environmental health interventions by providing professionals and caregivers with inputs and "how-to's" to improve health, welfare, and risk prevention at the individual and population levels. Thus, ODH complementarily combined with A&EI is meant to enhance policies and systems and modernize emergency management.

Is the effect of menu energy labelling on consumer behaviour equitable? A pooled analysis of twelve randomized control experiments

Menu energy labelling has been implemented as a public health policy to promote healthier dietary choices and reduce obesity. However, it is unclear whether the influence energy labelling has on consumer behaviour differs based on individuals' demographics or characteristics and may therefore produce inequalities in diet. Data were analysed from 12 randomized control trials (N = 8508) evaluating the effect of food and drink energy labelling (vs. labelling absent) on total energy content of food and drink selections (predominantly hypothetical) in European and US adults. Analyses examined the moderating effects of participant age, sex, ethnicity/race, education, household income, body mass index, dieting status, food choice motives and current hunger on total energy content of selections. Energy labelling was associated with a small reduction (f2 = 0.004, -50 kcal, p < 0.001) in total energy selected compared to the absence of energy labelling. Participants who were female, younger, white, university educated, of a higher income status, dieting, motivated by health and weight control when making food choices, and less hungry, tended to select menu items of lower energy content. However, there was no evidence that the effect of energy labelling on the amount of energy selected was moderated by any of the participants' demographics or characteristics. Energy labelling was associated with a small reduction in energy content of food selections and this effect was similar across a range of participants' demographics and characteristics. These preliminary findings suggest that energy labelling policies may not widen existing inequalities in diet.

Socioeconomic position and the effect of energy labelling on consumer behaviour: a systematic review and meta-analysis

BACKGROUND

There are well documented socioeconomic disparities in diet quality and obesity. Menu energy labelling is a public health policy designed to improve diet and reduce obesity. However, it is unclear whether the impact energy labelling has on consumer behaviour is socially equitable or differs based on socioeconomic position (SEP).

METHODS

Systematic review and meta-analysis of experimental (between-subjects) and pre-post implementation field studies examining the impact of menu energy labelling on energy content of food and/or drink selections in higher vs. lower SEP groups.

RESULTS

Seventeen studies were eligible for inclusion. Meta-analyses of 13 experimental studies that predominantly examined hypothetical food and drink choices showed that energy labelling tended to be associated with a small reduction in energy content of selections that did not differ based on participant SEP (X2(1) = 0.26, p = .610). Effect estimates for higher SEP SMD = 0.067 [95% CI: -0.092 to 0.226] and lower SEP SMD = 0.115 [95% CI: -0.006 to 0.237] were similar. A meta-analysis of 3 pre-post implementation studies of energy labelling in the real world showed that the effect energy labelling had on consumer behaviour did not significantly differ based on SEP (X2(1) = 0.22, p = .636). In higher SEP the effect was SMD = 0.032 [95% CI: -0.053 to 0.117] and in lower SEP the effect was SMD = -0.005 [95% CI: -0.051 to 0.041].

CONCLUSIONS

Overall there was no convincing evidence that the effect energy labelling has on consumer behaviour significantly differs based on SEP. Further research examining multiple indicators of SEP and quantifying the long-term effects of energy labelling on consumer behaviour in real-world settings is now required.

REVIEW REGISTRATION

Registered on PROSPERO (CRD42022312532) and OSF ( https://doi.org/10.17605/OSF.IO/W7RDB ).

The Impact of Nutrition Labelling on Customer Buying Intention and Behaviours in Fast Food Operations: Some Implications for Public Health

This research examines customers’ intention to buy depending on their use of nutrition labelling (NL) in fast food operations (FFOs) and their intention to visit and recommend these FFOs with nutrition-labelled menus. The research model draws on the theory of planned behaviour (TPB) to examine customers’ intentions to buy from nutrition-labelled menus and their behaviour of visiting and recommending to others FFOs with nutrition-labelled menus. To achieve this purpose, a self-administrated questionnaire was distributed to and collected from a random sample of customers at FFOs in Greater Cairo, Egypt, i.e., McDonald’s and Subway. The results from the structural equation modelling (SEM) using AMOS software indicated positive and direct significant paths from the constructs of the TPB, except for customers’ attitude, to customer intention to buy nutrition-labelled menu items. The results also showed a positive significant impact of customers’ intention on their behaviour of visiting and recommending FFOs featuring nutrition-labelled menus. The findings showed that there is an awaking of nutritional awareness among fast-food customers and that providing nutritional information on fast-food menus will affect their purchasing intention in the future by encouraging them to make healthy food choices. Theoretical implications for scholars and managerial implications for FFOs, especially in relation to public health in general and healthy food choices in particular, are explained and discussed.

A Hypothetical Tavern Menu for the Evaluation of Calorie Selection through Menu Labelling

The purpose of the present study is to evaluate calories selection according to the type of menu labelling applied on a hypothetical Greek tavern menu. Three questionnaires were designed and each one included a hypothetical menu of Greek tavern food. Menu A did not include any nutritional information, Menu B included calorie posting and Menu C had the “NB” mark next to dishes that were Nutritionally Balanced choices. A total of 437 participants were recruited in the study. The mean calories selection was significantly lower on Menu B (1874 Kcal) and C (1787.7 Kcal) compared to Menu A (2157.3 Kcal). The overweight and obese participants ordered significantly fewer calories on Menu B (−504 Kcal and −404 Kcal) and C (−451.3 Kcal and −393 Kcal) than on the Menu A. Menu labelling should be assessed in real-life settings in Greece. It could be a policy for the prevention and control of obesity in European countries.

Consumers' Perceptions of Healthy Food Availability in Online Food Delivery Applications (OFD Apps) and Its Association With Food Choices Among Public University Students in Malaysia

This retrospective cross-sectional study was conducted to study consumers' perceptions of healthy food availability in online food delivery applications (OFD apps) among public university students in Malaysia and its association with their food choices. A total of 290 subjects aged 19–29 years old were recruited from 20 public universities in Malaysia via snowball sampling. Data was collected through an online questionnaire which consisted of socio-demographic status, use of OFD apps (most frequently used brand, usage frequency, food choice, and expenditure per transaction), factors affecting food choice in OFD apps, consumers' perceptions of healthy food availability in OFD apps and recommendation for improvements. The most frequently used apps among the subjects was Food Panda (46.6%), however, majority of the subjects in this study (41.4%) rarely used OFD apps. Also, most of the subjects ordered unhealthy food (77.6%) and spent up to RM15–RM19 for each transaction (43.1%). There was no significant difference between the use of OFD apps and gender (p > 0.05). Among the five food choice motives, “price and convenience” motive was the most influencing food choice factor in OFD apps. Majority of the subjects (76.9%) had a negative perception of healthy food availability (variety, price, and quality of healthy food) in OFD apps. No significant association was found between consumers' perceptions of healthy food availability in OFD apps and their food choices made in OFD apps among the subjects in this study (p > 0.05). Also, majority (85.9%) responded they are keen to purchase healthy foods through OFD apps if they are given an option. However, most Malaysian public university students perceived that there were not much variety of healthy food, of good quality and affordable price, available in OFD apps. This finding suggests that the online food environment in Malaysia are perceived as unhealthy. Future studies can explore the online food environment particularly its impact on community health and well-being. Public health professionals and policymakers need to address the online food environment issues as part of the obesogenic food environment in Malaysia especially when OFD is one of the most convenient service in this country.

Creating supportive eating places: a systematic review of food service initiatives

Obesity and diet-related health problems are complex, multi-factorial issues. Individual food choices are shaped by the wider context, and food environment level change is needed to support individual behaviour change. The food service sector can play an integral role, changing aspects of the food environment and contributing to improved consumer health. This systematic review aimed to analyse food service schemes that aimed to improve consumer health. Ten electronic databases were systematically searched to identify articles, supplemented with checking of reference lists from similar reviews and forward and backward searches to identify articles describing food service sector schemes. Sixteen schemes were identified, documented in 36 articles/reports. The schemes aimed to improve consumer health through one of three approaches-informing, enabling or engineering. In this order, these approaches involved increasing levels of effort from food services, corresponding with decreasing levels of effort for consumers. Half the schemes were informing, relying on an informed consumer to make a healthy choice. Most informing schemes had been evaluated to determine their impact on consumer choice and/or health, the evidence showed these schemes were generally ineffective. The effect of the enabling or engineering schemes on consumer choice and health had not been measured. Instead, evaluations focussed on process or business engagement rather than behavioural change assessments. This review indicates the food sector has the potential to contribute to consumer health through enabling and engineering; however, detailed outcome assessments are needed to draw definitive conclusions.

Trends in the healthiness of U.S. fast food meals, 2008-2017

OBJECTIVE

This study aimed to examine trends in the healthiness of U.S. fast food restaurant meals from 2008 to 2017, using the American Heart Association's Heart-Check meal certification criteria.

METHODS

Data were obtained from MenuStat, an online database of the leading 100 U.S. restaurant chains menu items, for the years 2008 and 2012 through 2017. All possible meal combinations (entrées + sides) were created at the 20 fast food restaurants that reported entrée and side calories, total fat, saturated fat, trans fat, cholesterol, sodium, protein, and fiber. Chi-square tests compared the percent of meals meeting each American Heart Association (AHA) nutrient criterion; and the number of AHA criteria met for each year, by menu focus type.

RESULTS

Compared with 2008, significantly fewer fast food meals met the AHA calorie criterion in 2015, 2016, and 2017, and significantly fewer met the AHA total fat criterion in 2015 and 2016. Significantly more meals met the AHA trans fat criterion from 2012 to 2017, compared to 2008. There were no significant changes over time in the percent of meals meeting AHA criteria for saturated fat, cholesterol, or sodium.

CONCLUSIONS

Efforts to improve the healthiness of fast food meals should focus on reducing calories, total fat, saturated fat, and sodium.

Understanding food westernisation and other contemporary drivers of adult, adolescent and child nutrition quality in urban Vietnam

OBJECTIVE

To examine the association between consumption of western foods purchased and consumed away from home and measures of nutrition quality: average daily caloric intake and macronutrient (carbohydrates, fat and protein) shares, for urban consumers in Vietnam, a country undergoing economic transition.

DESIGN

Cross-sectional observational data were collected using household surveys and 24-h food diaries. Outcome variables were individual average daily caloric intake and shares of calories from macronutrients: carbohydrates, fat and protein. The key explanatory variable was individual daily share of calories from western food purchased and consumed away from home. Ordinary least squares and multivariate regression analyses were used to examine the association between the outcome variables: caloric intake and macronutrient shares and the share of calories from western food consumed away from home.

SETTING

Hanoi and Ho Chi Minh City in Vietnam.

PARTICIPANTS

In total, 1685 households and 4997 individuals, including adults (aged $$ \ge $$ 18 years), adolescents (aged 10-17 years) and children (aged 0-9 years).

RESULTS

The share of calories from western food away from home was significantly associated with higher caloric intake among male and female adults (P < 0·01), adolescents (P < 0·01) and male children (P < 0·10) and was associated with higher shares of fat for male and female adults (P < 0·01), adolescents (P < 0·01) and male children (P < 0·01).

CONCLUSIONS

Policymakers must be conscious of the numerous factors associated with poor nutrition quality, especially in younger Vietnamese individuals. Relevant interventions targeting at risk groups are required if nutrition improvement is a long-term goal.

Health and Economic Impacts of the National Menu Calorie Labeling Law in the United States: A Microsimulation Study

BACKGROUND

Excess caloric intake is linked to weight gain, obesity, and related diseases, including type 2 diabetes mellitus and cardiovascular disease (CVD). Obesity incidence is rising, with nearly 3 in 4 US adults being overweight or obese. In 2018, the US federal government finalized the implementation of mandatory labeling of calorie content on all menu items across major chain restaurants nationally as a strategy to support informed consumer choice, reduce caloric intake, and potentially encourage restaurant reformulations. Yet, the potential health and economic impacts of this policy remain unclear.

METHODS AND RESULTS

We used a validated microsimulation model (CVD-PREDICT) to estimate reductions in CVD events, diabetes mellitus cases, gains in quality-adjusted life years, costs, and cost-effectiveness of the menu calorie labeling intervention, based on consumer responses alone, and further accounting for potential industry reformulation. The model incorporated nationally representative demographic and dietary data from National Health and Nutrition Examination Surveys 2009 to 2016; policy effects on consumer diets and body mass index-disease effects from published meta-analyses; and policy effects on industry reformulation, policy costs (policy administration, industry compliance, and reformulation), and health-related costs (formal and informal healthcare costs, productivity costs) from established sources or reasonable assumptions. We modeled change in calories to change in weight using an established dynamic weight-change model, assuming 50% of expected calorie reductions would translate to long-term reductions. Findings were evaluated over 5 years and a lifetime from healthcare and societal perspectives, with uncertainty incorporated in both 1-way and probabilistic sensitivity analyses. Between 2018 and 2023, implementation of the restaurant menu calorie labeling law was estimated, based on consumer response alone, to prevent 14 698 new CVD cases (including 1575 CVD deaths) and 21 522 new type 2 diabetes mellitus cases, gaining 8749 quality-adjusted life years. Over a lifetime, corresponding values were 135 781 new CVD cases (including 27 646 CVD deaths), 99 736 type 2 diabetes mellitus cases, and 367 450 quality-adjusted life years. Assuming modest restaurant item reformulation, both health and economic benefits were estimated to be about 2-fold larger than based on consumer response alone. The consumer response alone was estimated to be cost-saving by 2023, with net lifetime savings of $10.42B from a healthcare perspective and $12.71B from a societal perspective. Findings were robust in a range of sensitivity analyses.

CONCLUSIONS

Our national model suggests that the full implementation of the US calorie menu labeling law will generate significant health gains and healthcare and societal cost-savings. Industry responses to modestly reformulate menu items would provide even larger additional benefits.

Response of the public and restaurant owners to the mandatory menu energy-labelling implementation in restaurants in Saudi Arabia

OBJECTIVE

Mandatory menu energy-labelling policy in restaurants has received increasing attention worldwide as a useful tool for promoting balanced energy intake and encouraging healthier food selection to reduce obesity prevalence. Therefore, we aimed to evaluate the knowledge, views and observations of the public and restaurant owners towards the mandatory menu energy-labelling policy (introduced in August 2018) in restaurants in Saudi Arabia.

DESIGN

In February 2019, we conducted a cross-sectional study using an electronic questionnaire.

SETTING

Saudi Arabia.

PARTICIPANTS

Saudi individuals (n 1228) aged 18-80 years and forty-one restaurant owners.

RESULTS

Most participants identified the correct daily energetic requirements for moderately active men (51 %) and women (69 %), but not for inactive adults (36 %). Although 40 % reported adequate knowledge to select low-energetic meals and 55 % perceived the policy as useful, 51 % reported they would be less likely to eat at restaurants displaying energy. Most participants (76 %) mentioned they would choose lower-energetic meals, and 79 % would feel guilty after consuming high-energetic meals. Moreover, 62 % of participants reported that the new labelling policy affected their food selections, prompting them to order different food items, eat less, change restaurants or eat at restaurants less frequently. Among restaurant owners, half were aware of the reason for the implementation of this policy and supported this measure. However, they did not consider modifying recipes to reduce energy. Sales of low- and high-energetic meals increased and decreased in 44 % and 39 % of restaurants, respectively.

CONCLUSIONS

This policy may be an effective public health tool for promoting balanced energy intake and encouraging healthier food selection in Saudi Arabia.

Sodium, calorie, and sugary drink purchasing patterns in chain restaurants: Findings from NYC

•

At chain restaurants, purchases are often exceptionally high in calories and sodium.

•

At quick-service chains, most sugary drink purchases had at least 50 g of sugar.

•

Most participants at full-service chains purchased more than the daily sodium limit.

•

Fostering a healthier restaurant environment would promote healthier purchases.

To understand how consumer purchases in chain restaurants relate to nutrients of public health concern, sodium, calories and sugary drinks purchased for personal consumption were assessed through a customer intercept receipt study at a sample of New York City quick- and full-service chain restaurants (QSR and FSR) in 2015. The percentages of respondents purchasing ≥2,300 mg sodium, ≥2,000 calories, and a sugary drink, respectively, were 14%, 3% and 32% at QSR, and 56%, 23%, and 22% at FSR. Sodium content of purchases averaged 1,260 mg at QSR and 2,897 mg at FSR and calories averaged 770 at QSR and 1,456 at FSR. 71% of QSR sugary drink purchases contained at least 200 calories. Purchasing patterns that are exceptionally high in sodium and calories, and that include sugary drinks, are common in chain restaurants. Because restaurant-sourced foods are a cornerstone of the American diet, fostering conditions that support healthful purchases is essential to reduce preventable disease and advance health.

Socioeconomic position and the impact of increasing availability of lower energy meals vs. menu energy labelling on food choice: two randomized controlled trials in a virtual fast-food restaurant

BACKGROUND

Food consumed outside of the home is often high in energy and population level interventions that reduce energy intake of people from both lower and higher socioeconomic position (SEP) are needed. There is a lack of evidence on the effectiveness and SEP equity of structural-based (e.g. increasing availability of lower energy options) and information provision (e.g. menu energy labelling) interventions on food choice.

METHODS

Across two online experiments, participants of lower and higher SEP made meal choices in a novel virtual fast-food restaurant. To be eligible to take part, participants were required to be UK residents, aged 18 or above, fluent in English, have access to a computer with an internet connection and have no dietary restrictions. Participants were randomized to one of four conditions in a 2 × 2 between-subjects design: menu energy labelling present vs. absent and increased availability of lower energy options (75% of menu options lower energy) vs. baseline availability (25% of menu options lower energy). Participants also completed measures of executive function and food choice motives.

RESULTS

The analysis of pooled data from both studies (n = 1743) showed that increasing the availability of lower energy options resulted in participants ordering meals with significantly less energy on average (- 71 kcal, p <  0.001, partial η2 = 0.024) and this effect was observed irrespective of participant SEP. Menu labelling had no significant effect on energy ordered (- 18 kcal, p = 0.116, partial η2 = 0.001) in participants from both higher and lower SEP. Furthermore, we found no evidence that executive function or food choice motives moderated the effect of increasing lower energy menu options or energy labelling on total energy ordered.

CONCLUSIONS

In a virtual fast-food environment, energy labelling was ineffective in reducing total energy ordered for both higher and lower SEP participants. Increasing the availability of lower energy options had an equitable effect, reducing total energy ordered in participants from higher and lower SEP.

TRIAL REGISTRATION

Study protocols and analysis plans were pre-registered on the Open Science Framework (https://osf.io/ajcr6/).

Evaluation of the impact of calorie labeling on McDonald's restaurant menus: a natural experiment

Background

The long-term effect of calorie labeling on fast-food purchases is unclear. McDonald’s voluntarily labeled its menus with calories in 2012, providing an opportunity to evaluate this initiative on purchases.

Methods

From 2010 to 2014, we collected receipts from and administered questionnaires to 2971 adults, 2164 adolescents, and 447 parents/guardians of school-age children during repeated visits to 82 restaurants, including McDonald’s and five control chains that did not label menus over the study period in four New England cities. In 2018, we analyzed the data by using difference-in-differences analyses to estimate associations of calorie labeling with calories purchased (actual and estimated) and predicted probability of noticing calorie information on menus.

Results

Calorie labeling at McDonald’s was not associated with changes in calories purchased in adults (change = − 19 cal pre- vs. post-labeling at McDonald’s compared to control chains, 95% CI: − 112, 75), adolescents (change = − 49 cal, 95% CI: − 136, 38), or children (change = 13 cal, 95% CI: − 108, 135). Calorie labeling generally increased the predicted probability of noticing calorie information, but did not improve estimation of calories purchased.

Conclusions

Calorie labeling at McDonald’s was not associated with changes in calories purchased in adults, adolescents, or children. Although participants were more likely to notice calories on menus post-labeling, there was no improvement in ability to accurately estimate calories purchased.

A Mobile Phone App for the Provision of Personalized Food-Based Information in an Eating-Out Situation: Development and Initial Evaluation

Background

Increasing pressure from governments, public health bodies, and consumers is driving a need for increased food-based information provision in eating-out situations. Meals eaten outside the home are known to be less healthy than meals eaten at home, and consumers can complain of poor information on the health impact and allergen content of meals eaten out.

Objective

This paper aimed to describe the development and early assessment of a mobile phone app that allows the provision of accurate personalized food-based information while considering individual characteristics (allergies, diet type, and preferences) to enable informed consumer choice when eating out.

Methods

An app was designed and developed to address these requirements using an agile approach. The developed app was then evaluated at 8 public engagement events using the System Usability Scale (SUS) questionnaire and qualitative feedback.

Results

Consideration of the literature and consultation with consumers revealed a need for information provision for consumers in the eating-out situation, including the ability to limit the information provided to that which was personally relevant or interesting. The app was designed to provide information to consumers on the dishes available in a workplace canteen and to allow consumers the freedom to personalize the app and choose the information that they received. Evaluation using the SUS questionnaire revealed positive responses to the app from a range of potential users, and qualitative comments demonstrated broad interest in its use.

Conclusions

This paper details the successful development and early assessment of a novel mobile phone app designed to provide food-based information in an eating-out situation in a personalized manner.

Evaluation of a voluntary nutritional information program versus calorie labelling on menus in Canadian restaurants: a quasi-experimental study design

BACKGROUND

A significant proportion of the Canadian diet comes from foods purchased in restaurant settings. In an effort to promote healthy eating, the province of British Columbia (BC) implemented the Informed Dining Program (IDP), a voluntary, industry supported information program in 2012, while the province of Ontario implemented mandatory calorie labelling on menus in 2017. The study examined differences in awareness and the self-reported influence of nutrition information on food choices in restaurants with voluntary nutrition information, calorie labelling on menus, and no nutrition information program.

METHODS

Exit surveys were conducted outside of nine chain restaurants in Toronto, Ontario and Vancouver, British Columbia (Canada) in 2012, 2015, and 2017 with varying nutrition information programs implemented. Logistic regression analyses compared self-reported noticing and influence of nutrition information in restaurants with: 1) the IDP which provided nutrition information upon request, 2) calorie labelling on menus, and 3) control restaurants with no specific nutrition information program in place, adjusted for year, city and socio-demographic characteristics. Awareness and knowledge of the IDP were also examined.

RESULTS

There were no significant differences in noticing and self-reported influence of nutrition information on food choices between restaurants with the IDP and restaurants with no program. Participants were more likely to notice nutrition information in restaurants when calorie information was provided on menus (57%) compared to in restaurants with the IDP (22%, AOR = 6.20, 95%CI 3.51-10.94, p < 0.001) or restaurants with no nutrition information program (20%, AOR = 7.44, 95%CI 4.21-13.13, p < 0.001). Participants in restaurants with menu labelling were also more likely to report that nutrition information influenced their food purchase (38%) compared to restaurants with the IDP (12%, AOR = 4.43, 95%CI 2.36-8.30, p < 0.001) and restaurants with no nutrition information program (12%, AOR = 5.29, 95%CI 2.81-9.95, p < 0.001). Fewer than 1 in 5 participants who visited an IDP restaurant had heard of the IDP across all data collection years in both cities.

CONCLUSIONS

There was no evidence that voluntary programs which provide nutrition information upon request were effective. Providing calorie information on menus increased the likelihood that consumers noticed and that their food choices were influenced by nutrition information in restaurant settings.

Shaping consumption propensity through the emotional response evoked by nutritional labels: Evidence from an fMRI study

The study aims to investigate a) the ability of nutritional labels in pictorial and textual form to guide consumption choices applying the dual-coding theory; b) the effectiveness of a new type of pictorial label (i.e. the body label) that appeals to the self-congruence theory and to positive emotional response. The research hypotheses were tested trough a 2x4x2 fMRI experimental design with 2 levels of product version (regular vs light), 4 levels of label type (text vs traffic light vs star rating vs body) and 2 levels of group of people (normal weight vs overweight). The body light label generates more brain activation in areas involved in the reward circuit compared to the body regular one, and compared to all the other types of labels for both versions, only in the overweight subject group. Furthermore, the star rating label has the worst performance in orienting healthy food choices as it requires more cognitive effort. The results are of interest to policy maker's strategies and to out-of-store and in-store communication strategies with the aim to contract the excessive body-weight phenomenon.

Assessing the Early Impact of Menu-Labeling on Calories in Chain Restaurants in Ontario, Canada

INTRODUCTION

The objective of this study is to investigate the early impact of Canada's first provincewide mandatory menu-labeling legislation on calorie levels in foods offered on chain restaurant menus before, leading up to, and at the point-of-implementation.

METHODS

Data were obtained from Menu-FLIP, a database of publicly available nutrition data from chain restaurants in Canada. Data were collected in 2010, 2013, 2016, and 2017. Core food products, newly introduced products, discontinued products, and full menus were compared before (2010, 2013, 2016) and at the point-of-implementation (2017) of the policy. Calories and serving sizes of 2,988 unique foods (excluding beverages) from 28 chains were analyzed using mixed models comparing time points while controlling for covariates. Sub-analyses were stratified by restaurant type.

RESULTS

Full menu mean calories and serving sizes increased between 2010 and 2017 (>40 calories and 17 grams, respectively). There were no significant changes in mean calories or serving sizes among core menu items (p=0.47). New products in 2013 and 2017 were significantly higher in calories and serving size versus discontinued foods and foods already on the menu. Discontinued foods did not differ in calories or serving size compared with foods already on the menu; however, in 2017, the calories of discontinued foods in sit-down restaurants were higher than foods discontinued in 2013 (p=0.02).

CONCLUSIONS

The results of this investigation show that at the point-of-implementation of the Ontario Healthy Menu Choices Act supply-side calories in core food products, new products, or full menus evaluated in this study did not significantly change.

Nutrition transition - Pattern IV: Leads Bangladeshi youth to the increasing prevalence of overweight and obesity

Fast food and soft drinks consumption leading to excess calorie intake coupled with lack of acceptable physical activity has augmented the prevalence of overweight and obesity among the world population for the past few eras. A cross-sectional study was carried out among 475 youth selected by systematic random sampling attending in 27 established public and private universities and colleges of Bangladesh. The study was aimed to evaluate habitual facts associated with the prevalence of overweight and obesity among Bangladeshi youth. The rates of fast food consumption (once/week) are 50.6%, 43.7%, and 53.3% in overweight, pre-obese and obese-1 respondents accordingly and the rates of soft drinks consumption (4-6 times/week) are 40.5%, 59.2%, and 73.3% respectively for the same subjects. Moreover, approximately 40.8% of the youth went to fast food restaurants at least once per week and 27.2% went regularly (2 times/week). Youth having fast foods 2 times/week, consuming soft drinks 3-4 times/week were more likely to be obese. Besides, obesity epidemic was observed among those who have not the habit of doing physical exercise. This study provides evidence of increasing trend and threat to overweight and obesity for the Bangladeshi youth.

The Response of More Health Focused and Less Health Focused People to a Physical Activity Calorie Equivalent Label on Discretionary Snack Foods

A Physical Activity Calorie Equivalent (PACE) label shows the minutes of physical activity required to burn off the caloric content of a particular food. This study investigated the influence of PACE labelling on liking and consumption of discretionary snack foods in a group of more health focused and less health focused consumers. Participants (n = 97) tasted and rated (i.e., liking, prospective consumption) a range of snack foods with or without a PACE label. Total sampling consumption was also measured. Participants completed a shortened version of the International Physical Activity Questionnaire and the General Health Interest Scale questionnaire. Paired samples t-test, independent samples t-tests, a General Linear Model and Chi-Square tests were used to check for statistical significance. For more health focused participants (n = 57), the PACE label decreased only liking (p = 0.02). The PACE label was not effective in reducing liking (p = 0.49), prospective consumption (defined as the amount of the sample participants thought that they could consume) (p = 0.10) or consumption (p = 0.41) of energy-dense discretionary snack foods for less health focused individuals (n = 40). The level of participants’ physical activity did not facilitate the influence of PACE labelling on liking, consumption or prospective consumption. The PACE label was found to not be effective among less health focused individuals or the overall sample population. Therefore, the PACE label may not be an effective labelling strategy to reduce the liking or consumption of discretionary snack foods.

A Meta-Analysis of Food Labeling Effects on Consumer Diet Behaviors and Industry Practices

CONTEXT

The influence of food and beverage labeling (food labeling) on consumer behaviors, industry responses, and health outcomes is not well established.

EVIDENCE ACQUISITION

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Ten databases were searched in 2014 for studies published after 1990 evaluating food labeling and consumer purchases/orders, intakes, metabolic risk factors, and industry responses. Data extractions were performed independently and in duplicate. Studies were pooled using inverse-variance random effects meta-analysis. Heterogeneity was explored with I2, stratified analyses, and meta-regression; and publication bias was assessed with funnel plots, Begg's tests, and Egger's tests. Analyses were completed in 2017.

EVIDENCE SYNTHESIS

From 6,232 articles, a total of 60 studies were identified, including 2 million observations across 111 intervention arms in 11 countries. Food labeling decreased consumer intakes of energy by 6.6% (95% CI= -8.8%, -4.4%, n=31), total fat by 10.6% (95% CI= -17.7%, -3.5%, n=13), and other unhealthy dietary options by 13.0% (95% CI= -25.7%, -0.2%, n=16), while increasing vegetable consumption by 13.5% (95% CI=2.4%, 24.6%, n=5). Evaluating industry responses, labeling decreased product contents of sodium by 8.9% (95% CI= -17.3%, -0.6%, n=4) and artificial trans fat by 64.3% (95% CI= -91.1%, -37.5%, n=3). No significant heterogeneity was identified by label placement or type, duration, labeled product, region, population, voluntary or legislative approaches, combined intervention components, study design, or quality. Evidence for publication bias was not identified.

CONCLUSIONS

From reviewing 60 intervention studies, food labeling reduces consumer dietary intake of selected nutrients and influences industry practices to reduce product contents of sodium and artificial trans fat.

Indulgent Foods Can Paradoxically Promote Disciplined Dietary Choices

As obesity rates continue to rise, interventions promoting healthful choices will become increasingly important. Here, participants ( N = 79) made binary choices between familiar foods; some trials contained a common consequence that had a constant probability of receipt regardless of the participant's choice. We theorized-on the basis of simulations using a value-normalization model-that indulgent common consequences potentiated disciplined choices by shaping other options' perceived healthfulness and tastiness. Our experimental results confirmed these predictions: An indulgent common consequence more than doubled the rate of disciplined choices. We used eye-gaze data to provide insights into the underlying mechanisms, finding that an indulgent common consequence biased eye gaze toward healthful foods. Furthermore, attention toward the common consequence predicted individual differences in behavioral bias. Results were replicated across two independent samples receiving distinct goal primes. These results demonstrate that introducing an irrelevant indulgent food can alter processing of healthier items-and thus promote disciplined choices.

Food environment does not predict self-reported SSB consumption in New York City: A cross sectional study

The purpose of this research was to examine whether the local food environment, specifically the distance to the nearest sugar sweetened beverage (SSB) vendor, a measure of SSB availability and accessibility, was correlated with the likelihood of self-reported SSB consumption among a sample of fast food consumers. As part of a broader SSB behavior study in 2013–2014, respondents were surveyed outside of major chain fast food restaurants in New York City (NYC). Respondents were asked for the intersection closest to their home and how frequently they consume SSBs. Comprehensive, administrative food outlet databases were used to geo-locate the SSB vendor closest to the respondents’ home intersections. We then used a logistic regression model to estimate the association between the distance to the nearest SSB vendor (overall and by type) and the likelihood of daily SSB consumption. Our results show that proximity to the nearest SSB vendor was not statistically significantly associated with the likelihood of daily SSB consumption, regardless of type of vendor. Our results are robust to alternative model specifications, including replacing the linear minimum distance measure with count of the total number of SSB vendors or presence of a SSB vendor within a buffer around respondents’ home intersections. We conclude that there is not a strong relationship between proximity to nearest SSB vendor, or proximity to a specific type of SSB vendor, and frequency of self-reported SSB consumption among fast food consumers in NYC. This suggests that policymakers focus on alternative strategies to curtail SSB consumption, such as improving the within-store food environment or taxing SSBs.

Fast food consumption and overweight/obesity prevalence in students and its association with general and abdominal obesity

Nowadays, the prevalence of both fast food consumption and overweight/obesity has been increased. This study aimed to estimate the prevalence of fast food consumption and to assess its association with abdominal and general obesity. In an analytical cross-sectional study, 300 students were selected randomly from two largest universities in Qom, center of Iran, studying in medical and basic sciences fields in 2015. Data collection was conducted by a modified version of NELSON's fast food questionnaire and anthropometric measures including Waist-Hip Ratio (WHR) and Body Mass Index (BMI). Chi-square, independent t-test, and multivariate logistic regression were used for statistical analysis. According to our results, 72.4% (67.4% in females vs 80.7% in males) had at least one type of fast food consumption in the recent month including sandwich 44.4%, pizza 39.7%, and fried chicken 13.8%, The obesity prevalence based on BMI and WHR was 21.3% (95% CI: 19.4, 23.2%) and 33.2% (95% CI: 0.7, 35.7), respectively. Fast food consumption was related to abdominal obesity as WHR (OR: 1.46, 95% CI: 1.11, 2.26), but was not related to general obesity as BMI (OR: 0.97, 95% CI: 0.63, 1.52). The prevalence of fast food consumption and obesity/overweight in Iranian student is high. Fast food consumption was associated with abdominal obesity based WHR, but did not related to general obesity based on BMI.

Menu labels, for better, and worse? Exploring socio-economic and race-ethnic differences in menu label use in a national sample

Menu calorie labeling aims to empower customers to make healthier food choices, but researchers have questioned whether labels will empower those with greater health literacy, literacy or numeracy more, possibly reinforcing race-ethnic or socioeconomic inequalities in obesity. The goal of this study was to investigate differences in seeing and using restaurant menu calorie labels and whether differences have compounded over time. Using data from three rounds of the National Health and Nutrition Examination Survey covering the period 2007-2014, we investigate race-ethnic and socio-economic differences in menu label usage over time adjusting for sex, age and body weight. While menu label usage increased over time, not all groups increased their use equally. While we find that Blacks and Hispanics use labels more than Whites in sit-down restaurants, more educated individuals, higher income groups and Whites each increased the degree to which they saw and/or used labels in certain settings compared with other groups. This study reinforces concerns that menu-calorie labeling may exacerbate socio-economic and certain race-ethnic obesity differences. As menu labeling policy moves forward to be implemented federally, more attention may need to be diverted to educational campaigns accompanying the implementation and improving the labels so the information is easier to use.

Parents' meal choices for their children at fast food and family restaurants with different menu labeling presentations

BACKGROUND/OBJECTIVES

This study examined the effect of nutrition labeling formats on parents' food choices for their children at different restaurant types.

SUBJECTS/METHODS

An online survey was conducted with 1,980 parents of children aged 3-12 years. Participants were randomly assigned to fast food or family restaurant scenarios, and one of four menu stimuli conditions: no labeling, low-calorie symbol (symbol), numeric value (numeric), and both low-calorie symbol and numeric value (symbol + numeric). Participants selected menu items for their children. Menu choices and total calories were compared by nutrition labeling formats in each type of the restaurant.

RESULTS

Low-calorie item selections were scored and a two-way analysis of variance (ANOVA) was conducted for an interaction effect between restaurant and labeling type. In the fast food restaurant group, parents presented with low-calorie symbols selected the lowest calorie items more often than those not presented with the format. Parents in the symbol + numeric condition selected significantly fewer calories (653 kcal) than those in the no labeling (677 kcal) or numeric conditions (674 kcal) (P = 0.006). In the family restaurant group, no significant difference were observed among different labeling conditions. A significant interaction between restaurant and labeling type on low-calorie selection score (F = 6.03, P < 0.01) suggests that the effect of nutrition labeling format interplays with restaurant type to jointly affect parents' food choices for their children.

CONCLUSIONS

The provision of easily interpretable nutritional information format at fast food restaurants may encourage healthier food choices of parents for their children; however, the effects were negligible at family restaurants.

Socio-Economic Disparities in Attitude and Preference for Menu Labels among Vietnamese Restaurant Customers

Calories and nutrition labeling on restaurant menus are powerful policy interventions to reduce the burden of obesity epidemic. However, the success of this policy requires an assurance of equal benefits among customers with different characteristics, especially people at a higher risk of poor health outcomes and eating habits. This study examined the sociodemographic disparities in the attitude and preference for calories and nutrition labeling on menus among customers in various food facilities. A cross-sectional study was conducted with 1746 customers of food facilities in Hanoi, Vietnam, who were recruited by using a multistage sampling method. Socio-economic characteristics, attitudes regarding the necessity and preferences for calories, and nutrition labeling on menus were analyzed. Multivariate logistic regression was employed to determine the associated factors with attitudes and preferences. Results show that most of the sample understood the necessity to have calories and nutrition labeling (59.8%), and 71.8% preferred to have calories and nutrition labeling. People who often visited food facilities (Odd Ratio (OR) = 1.36; 95% confident interval (CI) = 1.06–1.74) and had higher education and were more likely to understand the necessity of calories and nutrition labeling. Factors such as being homemakers, often going to dine-in restaurants, and perceiving that labeling was unnecessary were negatively associated with preferences for calories and nutrition labeling. The results of this study encourage policymakers to implement calories and nutrition labeling in the future. Health education interventions to improve knowledge and attitude as regards calories and nutrition labeling on menus are important, particularly for males, less-educated individuals, and high-income people.

Nutritional labelling for healthier food or non-alcoholic drink purchasing and consumption

BACKGROUND

Nutritional labelling is advocated as a means to promote healthier food purchasing and consumption, including lower energy intake. Internationally, many different nutritional labelling schemes have been introduced. There is no consensus on whether such labelling is effective in promoting healthier behaviour.

OBJECTIVES

To assess the impact of nutritional labelling for food and non-alcoholic drinks on purchasing and consumption of healthier items. Our secondary objective was to explore possible effect moderators of nutritional labelling on purchasing and consumption.

SEARCH METHODS

We searched 13 electronic databases including CENTRAL, MEDLINE and Embase to 26 April 2017. We also handsearched references and citations and sought unpublished studies through websites and trials registries.

SELECTION CRITERIA

Eligible studies: were randomised or quasi-randomised controlled trials (RCTs/Q-RCTs), controlled before-and-after studies, or interrupted time series (ITS) studies; compared a labelled product (with information on nutrients or energy) with the same product without a nutritional label; assessed objectively measured purchasing or consumption of foods or non-alcoholic drinks in real-world or laboratory settings.

DATA COLLECTION AND ANALYSIS

Two authors independently selected studies for inclusion and extracted study data. We applied the Cochrane 'Risk of bias' tool and GRADE to assess the quality of evidence. We pooled studies that evaluated similar interventions and outcomes using a random-effects meta-analysis, and we synthesised data from other studies in a narrative summary.

MAIN RESULTS

We included 28 studies, comprising 17 RCTs, 5 Q-RCTs and 6 ITS studies. Most (21/28) took place in the USA, and 19 took place in university settings, 14 of which mainly involved university students or staff. Most (20/28) studies assessed the impact of labelling on menus or menu boards, or nutritional labelling placed on, or adjacent to, a range of foods or drinks from which participants could choose. Eight studies provided participants with only one labelled food or drink option (in which labelling was present on a container or packaging, adjacent to the food or on a display board) and measured the amount consumed. The most frequently assessed labelling type was energy (i.e. calorie) information (12/28).Eleven studies assessed the impact of nutritional labelling on purchasing food or drink options in real-world settings, including purchases from vending machines (one cluster-RCT), grocery stores (one ITS), or restaurants, cafeterias or coffee shops (three RCTs, one Q-RCT and five ITS). Findings on vending machines and grocery stores were not interpretable, and were rated as very low quality. A meta-analysis of the three RCTs, all of which assessed energy labelling on menus in restaurants, demonstrated a statistically significant reduction of 47 kcal in energy purchased (MD -46.72 kcal, 95% CI -78.35, -15.10, N = 1877). Assuming an average meal of 600 kcal, energy labelling on menus would reduce energy purchased per meal by 7.8% (95% CI 2.5% to 13.1%). The quality of the evidence for these three studies was rated as low, so our confidence in the effect estimate is limited and may change with further studies. Of the remaining six studies, only two (both ITS studies involving energy labels on menus or menus boards in a coffee shop or cafeteria) were at low risk of bias, and their results support the meta-analysis. The results of the other four studies which were conducted in a restaurant, cafeterias (2 studies) or a coffee shop, were not clearly reported and were at high risk of bias.Seventeen studies assessed the impact of nutritional labels on consumption in artificial settings or scenarios (henceforth referred to as laboratory studies or settings). Of these, eight (all RCTs) assessed the effect of labels on menus or placed on a range of food options. A meta-analysis of these studies did not conclusively demonstrate a reduction in energy consumed during a meal (MD -50 kcal, 95% CI -104.41, 3.88, N = 1705). We rated the quality of the evidence as low, so our confidence in the effect estimate is limited and may change with further studies.Six laboratory studies (four RCTs and two Q-RCTs) assessed the impact of labelling a single food or drink option (such as chocolate, pasta or soft drinks) on energy consumed during a snack or meal. A meta-analysis of these studies did not demonstrate a statistically significant difference in energy (kcal) consumed (SMD 0.05, 95% CI -0.17 to 0.27, N = 732). However, the confidence intervals were wide, suggesting uncertainty in the true effect size. We rated the quality of the evidence as low, so our confidence in the effect estimate is limited and may change with further studies.There was no evidence that nutritional labelling had the unintended harm of increasing energy purchased or consumed. Indirect evidence came from five laboratory studies that involved mislabelling single nutrient content (i.e. placing low energy or low fat labels on high-energy foods) during a snack or meal. A meta-analysis of these studies did not demonstrate a statistically significant increase in energy (kcal) consumed (SMD 0.19, 95% CI -0.14to 0.51, N = 718). The effect was small and the confidence intervals wide, suggesting uncertainty in the true effect size. We rated the quality of the evidence from these studies as very low, providing very little confidence in the effect estimate.

AUTHORS' CONCLUSIONS

Findings from a small body of low-quality evidence suggest that nutritional labelling comprising energy information on menus may reduce energy purchased in restaurants. The evidence assessing the impact on consumption of energy information on menus or on a range of food options in laboratory settings suggests a similar effect to that observed for purchasing, although the evidence is less definite and also of low quality.Accordingly, and in the absence of observed harms, we tentatively suggest that nutritional labelling on menus in restaurants could be used as part of a wider set of measures to tackle obesity. Additional high-quality research in real-world settings is needed to enable more certain conclusions.Further high-quality research is also needed to address the dearth of evidence from grocery stores and vending machines and to assess potential moderators of the intervention effect, including socioeconomic status.

Energy (calorie) labelling for healthier selection and consumption of food or alcohol

This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

To estimate the effect of energy labelling for food (including non‐alcoholic drinks) and alcoholic drinks on healthier selection (with or without purchasing) and consumption. To assess possible modifiers – energy label type, setting and socioeconomic status ‐ of the effect of energy labelling on selection and consumption of food and alcohol.

Predicted Impact of the Food and Drug Administration's Menu-Labeling Regulations on Restaurants in 4 New Jersey Cities

OBJECTIVES

To determine the proportion of restaurants that will be required to post calorie information under the Food and Drug Administration's menu-labeling regulations in 4 New Jersey cities.

METHODS

We classified geocoded 2014 data on 1753 restaurant outlets in accordance with the Food and Drug Administration's guidelines, which will require restaurants with 20 or more locations nationwide to post calorie information. We used multivariate logistic regression analyses to assess the association between menu-labeling requirements and census tract characteristics.

RESULTS

Only 17.6% of restaurants will be affected by menu labeling; restaurants in higher-income tracts have higher odds than do restaurants in lower-income tracts (odds ratio [OR] = 1.55; P = .02). Restaurants in non-Hispanic Black (OR = 1.62; P = .02) and mixed race/ethnicity (OR = 1.44; P = .05) tracts have higher odds than do restaurants in non-Hispanic White tracts of being affected.

CONCLUSIONS

Additional strategies are needed to help consumers make healthy choices at restaurants not affected by the menu-labeling law. These findings have implications for designing implementation strategies for the law and for evaluating its impact.

Monitoring the changes to the nutrient composition of fast foods following the introduction of menu labelling in New South Wales, Australia: an observational study

Objective

The present study examined the energy (kilojoule) content of Australian fast-food menu items over seven years, before and after introduction of menu board labelling, to determine the impact of the introduction of the legislation.

Design

Analysis of the median energy contents per serving and per 100g of fast-food menu items. Change in energy content of menu items across the years surveyed and differences in energy content of standard and limited-time only menu items were analysed.

Setting

Five of Australia’s largest fast food chains: Hungry Jack’s, KFC, McDonald’s, Oporto and Red Rooster.

Subjects

All standard and limited-time only menu items available at each fast-food chain, collected annually for seven years, 2009–2015.

Results

Although some fast-food chains/menu item categories had significant increases in the energy contents of their menus at some time points during the 7-year period, overall there were no significant or systematic decreases in energy following the introduction of menu labelling (P=0·19 by +17 kJ/100 g, P=0·83 by +8 kJ/serving). Limited-time only items were significantly higher in median energy content per 100 g than standard menu items (+74 kJ/100 g, P=0·002).

Conclusions

While reformulation across the entire Australian fast-food supply has the potential to positively influence population nutrient intake, the introduction of menu labelling legislation in New South Wales, Australia did not lead to reduced energy contents across the five fast-food chains. To encourage widespread reformulation by the fast-food industry and enhance the impact of labelling legislation, the government should work with industry to set targets for reformulation of nutrient content.

Application of the Health Belief Model to customers' use of menu labels in restaurants

Some countries require the provision of menu labels on restaurant menus to fight the increasing prevalence of obesity and related chronic diseases. This study views customers' use of menu labels as a preventive health behavior and applies the Health Belief Model (HBM) with the aim of determining the health belief factors that influence customers' use of menu labels. A self-administered survey was distributed for data collection. Responses were collected from 335 restaurant customers who experienced menu labels in restaurants within three months prior to the survey. The results of a structural equation model showed that all the HBM variables (perceived threats, perceived benefits, and perceived barriers of using menu labels) positively affected the customers' use of menu labels. Perceived threats were influenced by cues to action and cues to action had an indirect influence on menu label use through perceived threats. In conclusion, health beliefs were good predictors of menu label use on restaurant menus. This study validated the application of the HBM to menu labeling in restaurants, and its findings could offer guidelines for the industry and government in developing strategies to expand the use of menu labels among the public.

A Systematic Review of Calorie Labeling and Modified Calorie Labeling Interventions: Impact on Consumer and Restaurant Behavior

OBJECTIVE

Evidence on the effects of restaurant calorie labeling on consumer and restaurant behavior is mixed. This paper examined: (1) consumer responses to calorie information alone or compared to modified calorie information and (2) changes in restaurant offerings following or in advance of menu labeling implementation.

METHODS

Searches were conducted in PubMed, Web of Science, Policy File, and PAIS International to identify restaurant calorie labeling studies through October 1, 2016, that measured calories ordered, consumed, or available for purchase on restaurant menus. The reference lists of calorie labeling articles were also searched.

RESULTS

Fifty-three studies were included: 18 in real-world restaurants, 9 in cafeterias, and 21 in laboratory or simulation settings. Five examined restaurant offerings.

CONCLUSIONS

Because of a lack of well-powered studies with strong designs, the degree to which menu labeling encourages lower-calorie purchases and whether that translates to a healthier population are unclear. Although there is limited evidence that menu labeling affects calories purchased at fast-food restaurants, some evidence demonstrates that it lowers calories purchased at certain types of restaurants and in cafeteria settings. The limited data on modified calorie labels find that such labels can encourage lower-calorie purchases but may not differ in effects relative to calorie labels alone.

A Meta-Analysis to Determine the Impact of Restaurant Menu Labeling on Calories and Nutrients (Ordered or Consumed) in U.S. Adults

A systematic review and meta-analysis determined the effect of restaurant menu labeling on calories and nutrients chosen in laboratory and away-from-home settings in U.S. adults. Cochrane-based criteria adherent, peer-reviewed study designs conducted and published in the English language from 1950 to 2014 were collected in 2015, analyzed in 2016, and used to evaluate the effect of nutrition labeling on calories and nutrients ordered or consumed. Before and after menu labeling outcomes were used to determine weighted mean differences in calories, saturated fat, total fat, carbohydrate, and sodium ordered/consumed which were pooled across studies using random effects modeling. Stratified analysis for laboratory and away-from-home settings were also completed. Menu labeling resulted in no significant change in reported calories ordered/consumed in studies with full criteria adherence, nor the 14 studies analyzed with ≤1 unmet criteria, nor for change in total ordered carbohydrate, fat, and saturated fat (three studies) or ordered or consumed sodium (four studies). A significant reduction of 115.2 calories ordered/consumed in laboratory settings was determined when analyses were stratified by study setting. Menu labeling away-from-home did not result in change in quantity or quality, specifically for carbohydrates, total fat, saturated fat, or sodium, of calories consumed among U.S. adults.

Getting more people on the stairs: The impact of point-of-decision prompts

Individuals rarely achieve investment activities characterised by up-front costs and delayed benefits. Point-of-decision prompts (PDPs) provide information about a better alternative or a deterrent to the behavioural standard at the moment the decision is made and may affect behaviour by helping individuals perform this type of investment activities. We conducted a field experiment to assess the effects of a PDP intervention that encourages taking the stairs rather than the escalator in three Paris (France) Metro stations for eight weeks from April to July 2014. In total, we followed up 205 individuals and the data show that PDPs have an immediate, albeit decaying, peaked effect on individuals' stair use, with a stronger effect when weak physical effort is made salient. However, the intervention did not change individuals' stair-use habits. In the best-case scenario, the effects last two weeks after the intervention ends. Our preferred explanation is that PDPs act as "cues" but people become accustomed to them and in the end no longer notice them. These findings suggest that a PDP intervention is not sufficient to modify individuals investment in activities with immediate costs and delayed benefits in the long-run.

Influence of menu labeling on food choices in real-life settings: a systematic review

CONTEXT

Evidence that menu labeling influences food choices in real-life settings is lacking. Reviews usually focus on calorie counts without addressing broader issues related to healthy eating.

OBJECTIVE

This systematic review assessed the influence of diverse menu-labeling formats on food choices in real-life settings.

DATA SOURCES

Several databases were searched: Cochrane Library, Scopus, MEDLINE, Web of Science, Food Science and Technology Abstracts, Biological Abstracts, CAB Abstracts, EconLit, SciELO, and LILACS.

STUDY SELECTION

Articles reporting experiments, quasi-experiments, and observational studies using control or preintervention groups were selected blindly by two reviewers.

DATA EXTRACTION

Data was extracted using a standard form. Analyses differentiated between foodservice types. The quality of the 38 included studies was assessed blindly by two reviewers.

DATA ANALYSIS

The results were mixed, but a partial influence of menu labeling on food choices was more frequent than an overall influence or no influence. Menu labeling was more effective in cafeterias than in restaurants. Qualitative information, such as healthy-food symbols and traffic-light labeling, was most effective in promoting healthy eating. In general, the studies were of moderate quality and did not use control groups.

CONCLUSIONS

Calorie labeling in menus is not effective to promote healthier food choices. Further research in real-life settings with control groups should test diverse qualitative information in menu labeling.

Improving food environments and tackling obesity: A realist systematic review of the policy success of regulatory interventions targeting population nutrition

Background

This systematic review (PROSPERO: CRD42015025276) employs a realist approach to investigate the effect of “real-world” policies targeting different aspects of the food environment that shape individual and collective nutrition.

Objectives

We were interested in assessing intermediate outcomes along the assumed causal pathway to “policy success”, in addition to the final outcome of changed consumption patterns.

Data sources

We performed a search of 16 databases through October 2015, with no initial restriction by language.

Study eligibility criteria

We included all publications that reported the effect of statutory provisions aimed at reducing the consumption of energy-dense foods and beverages in the general population. We allowed all methodological approaches that contained some measure of comparison, including studies of implementation progress.

Study appraisal and synthesis methods

We reviewed included studies using the appraisal tools for pre-post and observational studies developed by the National Heart, Lung, and Blood Institute. Given the considerable heterogeneity in interventions assessed, study designs employed, and outcome measures reported, we opted for a narrative synthesis of results.

Results and implications

Results drawn from 36 peer-reviewed articles and grey literature reports demonstrated that isolated regulatory interventions can improve intermediate outcomes, but fail to affect consumption at clinically significant levels. The included literature covered six different types of interventions, with 19 studies reporting on calorie posting on chain restaurant menus. The large majority of the identified interventions were conducted in the US. Early results from recent taxation measures were published after the review cut-off date but these suggested more favorable effects on consumption levels. Nevertheless, the evidence assessed in this review suggests that current policies are generally falling short of anticipated health impacts.

Calorie changes in large chain restaurants from 2008 to 2015

No prior studies examining changes in the calorie content of chain restaurants have included national data before and after passage of federal menu labeling legislation, required by the 2010 Affordable Care Act. This paper describes trends in calories available in large U.S. chain restaurants in 2008 and 2012 to 2015 using data were obtained from the MenuStat project (2012 to 2015) and from the Center for Science in the Public Interest (2008). This analysis included 44 of the 100 largest U.S. restaurants which are available in all years of the data (2008 and 2012-2015) (N=19,391 items). Generalized linear models were used to examine 1) per-item calorie changes from 2008 to 2015 among items on the menu in all years and 2) mean calories in new items in 2012, 2013, 2014 and 2015 compared to items on the menu in 2008 only. We found that Among items common to the menu in all years, overall calories declined from 327kcal in 2008 to 318kcal in 2015 (p-value for trend=0.03). No differences in mean calories among menu items newly introduced in 2012, 2013, 2014, and 2015 relative to items only on the menu in 2008 were found. These results suggest that the federal menu labeling mandate (to be implemented in May 2017) appears to be influencing restaurant behavior towards lower average calories for menu items.

Correlates of Sugar-Sweetened Beverages Purchased for Children at Fast-Food Restaurants

OBJECTIVES

To determine consumer and fast-food purchase characteristics associated with the purchase of a sugar-sweetened beverage, as well as calories and grams of sugar, for children at a fast-food restaurant.

METHODS

We completed cross-sectional analyses of fast-food restaurant receipts and point-of-purchase surveys (n = 483) collected during 2013 and 2014 in New York City and Newark and Jersey City, New Jersey.

RESULTS

Caregivers purchased beverages for half of all children in our sample. Approximately 60% of these beverages were sugar-sweetened beverages. Fast-food meals with sugar-sweetened beverages had, on average, 179 more calories than meals with non-sugar-sweetened beverages. Being an adolescent or male, having a caregiver with a high school degree or less, having a caregiver who saw the posted calorie information, ordering a combination meal, and eating the meal in the restaurant were associated with ordering a sugar-sweetened beverage. Purchases that included a combination meal or were consumed in the restaurant included more beverage grams of sugar and calories.

CONCLUSIONS

Characteristics of fast-food purchases appear to have the largest and most important association to beverage calories for children at fast-food restaurants. Targeting fast-food restaurants, particularly combination meals, may improve childhood obesity rates.

Energy contribution of sugar-sweetened beverage refills at fast-food restaurants

OBJECTIVE

To identify demographic and consumer characteristics associated with refilling a soft drink at fast-food restaurants and the estimated energy content and volume of those refills.

DESIGN

Logistic and linear regression with cross-sectional survey data.

SETTING

Data include fast-food restaurant receipts and consumer surveys collected from restaurants in New York City (all boroughs except Staten Island), and Newark and Jersey City, New Jersey, during 2013 and 2014.

SUBJECTS

Fast-food restaurant customers (n 11795) from ninety-eight restaurants.

RESULTS

Thirty per cent of fast-food customers ordered a refillable soft drink. Nine per cent of fast-food customers with a refillable soft drink reported refilling their beverage (3 % of entire sample). Odds of having a beverage refill were higher among respondents with a refillable soft drink at restaurants with a self-serve refill kiosk (adjusted OR (aOR)=7·37, P<0·001) or who ate in the restaurant (aOR=4·45, P<0·001). KFC (aOR=2·18, P<0·001) and Wendy's (aOR=0·41, P<0·001) customers had higher and lower odds, respectively, of obtaining a refill, compared with Burger King customers. Respondents from New Jersey (aOR=1·47, P<0·001) also had higher odds of refilling their beverage than New York City customers. Customers who got a refill obtained on average 29 more 'beverage ounces' (858 ml) and 250 more 'beverage calories' (1046 kJ) than customers who did not get a refill.

CONCLUSIONS

Refilling a beverage was associated with having obtained more beverage calories and beverage ounces. Environmental cues, such as the placement and availability of self-serve beverage refills, may influence consumer beverage choice.

The Impact of Crunchy Wednesdays on Happy Meal Fruit Orders: Analysis of Sales Data in France, 2009-2013

OBJECTIVE

Beginning in September, 2010, all McDonald's restaurants in France offered free fruit with every Happy Meal sold on the first Wednesday of the month. Sales data were used to determine the impact of free fruit promotion on the proportion of regular Happy Meal fruit desserts sold.

METHODS

Trend analyses examined the proportion of fruit desserts for 2009-2013. Analyses also compared fruit orders on Crunchy Wednesdays with other weekdays.

RESULTS

Happy Meal fruit desserts rose from 14.5% in 2010 to 18.0% in 2011 and to 19.4% in 2013 (P < .001). More Happy Meal fruit desserts were ordered on Crunchy Wednesdays compared with other weekdays (P < .001). Orders of cherry tomato sides and water as a beverage on Crunchy Wednesdays were unaffected.

CONCLUSIONS AND IMPLICATIONS

Based on sales transactions data across multiple years, this study provides evidence of the long-term effectiveness of menu promotions aimed at increasing children's consumption of vegetables and fruit.

The impact of interventions to promote healthier ready-to-eat meals (to eat in, to take away or to be delivered) sold by specific food outlets open to the general public: a systematic review

INTRODUCTION

Ready-to-eat meals sold by food outlets that are accessible to the general public are an important target for public health intervention. We conducted a systematic review to assess the impact of such interventions.

METHODS

Studies of any design and duration that included any consumer-level or food-outlet-level before-and-after data were included.

RESULTS

Thirty studies describing 34 interventions were categorized by type and coded against the Nuffield intervention ladder: restrict choice = trans fat law (n = 1), changing pre-packed children's meal content (n = 1) and food outlet award schemes (n = 2); guide choice = price increases for unhealthier choices (n = 1), incentive (contingent reward) (n = 1) and price decreases for healthier choices (n = 2); enable choice = signposting (highlighting healthier/unhealthier options) (n = 10) and telemarketing (offering support for the provision of healthier options to businesses via telephone) (n = 2); and provide information = calorie labelling law (n = 12), voluntary nutrient labelling (n = 1) and personalized receipts (n = 1). Most interventions were aimed at adults in US fast food chains and assessed customer-level outcomes. More 'intrusive' interventions that restricted or guided choice generally showed a positive impact on food-outlet-level and customer-level outcomes. However, interventions that simply provided information or enabled choice had a negligible impact.

CONCLUSION

Interventions to promote healthier ready-to-eat meals sold by food outlets should restrict choice or guide choice through incentives/disincentives. Public health policies and practice that simply involve providing information are unlikely to be effective.

Adults Who Order Sugar-Sweetened Beverages: Sociodemographics and Meal Patterns at Fast Food Chains

INTRODUCTION

Approximately 30% of adults consume sugar-sweetened beverages (SSBs) daily, many at fast food restaurants. Researchers examined fast food purchases to better understand which consumers order SSBs, particularly large SSBs.

METHODS

Fast food customers in New York City and New Jersey provided receipts and participated in a survey during 2013-2014 (N=11,614). Logistic regression analyses predicted three outcomes: ordering no beverage or a non-SSB, a small/medium SSB, or a large SSB. Among respondents who ordered a beverage (n=3,775), additional analyses predicted number of beverage calories and odds of ordering an SSB. Covariates included demographic and behavioral factors.

RESULTS

Respondents aged 18-29 years were 88% more likely to order a large SSB than a non-SSB or no beverage, as compared with respondents aged ≥50 years (p<0.001). Among respondents who purchased a beverage, respondents ordered more beverage calories with a large combination meal (+85.13 kcal, p=0.001) or if the restaurant had a large cup size >30 ounces (+36.07 kcal, p=0.001). Hispanic and Asian respondents were less likely to order a large SSB (AOR=0.49 and 0.52, respectively, both p≤0.026) than non-Hispanic white respondents. Odds of ordering a large SSB were higher for respondents who ate in the restaurant (AOR=1.66, p<0.001) or stated that they chose beverage based on price (AOR=2.02, p<0.001).

CONCLUSIONS

Young adults and customers of restaurants with a larger cup size were more likely to purchase SSBs, and their beverage calories increased with meal size. Increased understanding of these factors is an important step toward limiting unhealthy SSB consumption.