Efficacy and consumer preferences for different approaches to calorie labeling on menus

Designing a new physical activity calorie equivalent food label and comparing its effect on caloric choices to that of the traffic light label among mothers: a mixed-method study

Objective

We designed a new type of 'physical activity calorie equivalent' (PACE) food label in Iran to compare its effect with that of the traffic light food label (TLL) on caloric choices.

Design

Mixed-method study.

Participants

Mothers of school children between the ages of 6-12 years.

Setting

In the qualitative phase, 10 focus group discussions (FGDs) were conducted with various groups of mothers, and two FGDs were conducted with food science and nutrition experts to design a new PACE label. In the quantitative phase, 496 mothers were randomly assigned to five groups: (1) no nutrition label, (2) current TLL, (3) current TLL + educational brochure, (4) PACE label, and (5) PACE label + brochure. Samples of dairy products, beverages, cakes, and biscuits were presented. ANOVA and multiple linear regressions were applied to examine the association between label types and calories of the selected products as our main outcome.

Results

The mothers' perspectives were classified into two sub-themes, the PACE label's facilitators and barriers. The new PACE label's characteristics were divided into two subcategories: (a) appearance, and (b) nutritional information, including 14 codes. In the quantitative section, mean calories of the selected foods were lowest in the TLL + brochure group (831.77 kcal; 95% CI: 794.23-869.32), and highest in the PACE label group (971.61; 95% CI: 926.37-1016.84).

Conclusion

The new PACE label was a combination of PACE, TLL, and warning labels. It did not significantly affect lower caloric choice, however, the TLL + brochure option was effective in choosing foods with fewer calories.Clinical trial registration: The study was registered in the Iranian Registry of Clinical Trials 23 (IRCT20181002041201N1).

How to enable healthier and more sustainable food practices in collective meal contexts: A scoping review

Collective meal contexts such as restaurants, cafeterias and canteens can help accelerate transitions to healthier and more sustainable diets. However, evidence from intervention studies on these contexts lacks integration. This scoping review aimed to map determinants of dietary change in collective meal contexts across multiple settings, interventions, target groups, and target behaviors. The review provided two main outcomes: (i) identifying intervention components to promote dietary change in collective meal contexts, based on the existing body of evidence; and (ii) classifying and integrating these intervention components into an overarching framework of behavior change (i.e., COM-B system). The review encompassed twenty-eight databases via two indexing services and extracted information from 232 primary sources (27,458 records selected for title and abstract screening, 574 articles selected for full-text screening). We identified a total of 653 intervention activities, which were classified into intervention components and grouped under three broad themes, namely contextual and environmental changes, social influence, and knowledge and behavioral regulation. Multi-component interventions tended to report overall positive outcomes. The review proposes several directions for future research, including: (i) moving toward more theory-based interventions in collective meal contexts; (ii) providing more detailed information about intervention settings, implementation, target groups, activities, and materials; and (iii) improving the use of open science practices in the field. Furthermore, the review offers a free, original, open-access list and synthesis of 277 intervention studies in collective meal contexts, which can help intervention planners and evaluators optimize their efforts to promote healthier and more sustainable food practices in these contexts.

Which Front-of-Package Nutrition Label Is Better? The Influence of Front-of-Package Nutrition Label Type on Consumers' Healthy Food Purchase Behavior

To help consumers understand the healthfulness of food and make healthy food choices, manufacturers are increasingly providing front-of-package nutrition labels. However, not all types of front-of-package nutrition labels can promote consumers' healthy food purchase behavior. We explored the impact of front-of-package nutrition label type on the consumer purchase behavior of healthy food through three experiments. The results show that evaluative (vs. objective) front-of-package nutrition labels can improve consumer purchase intention and willingness to pay for healthy food. The spokesperson type moderates the influence of front-of-package nutrition labels on consumers' healthy food purchase behavior. Specifically, when the spokesperson type is a typical consumer, consumers are more willing to buy healthy foods with evaluative nutrition labels than those with objective nutrition labels. When the spokesperson type is a star, consumers are more willing to buy healthy food with objective nutrition labels (vs. evaluative nutrition labels). Finally, this study provides feasible suggestions for marketers to select appropriate front-of-package nutrition labels.

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.

The effect of item placement on snack food choices from physical and online menus

Previous attempts to promote healthy eating using explicit techniques have not been consistently successful. We therefore investigated an implicit strategy (item placement techniques) to encourage healthy food choices in the context of snack menus. Two experimental studies compared presentation of healthy items in the top, middle, and bottom sections of a snack menu. Study 1 compared these presentations in a physical paper-based menu, while Study 2 used an online menu. Menus consisted of 8 unhealthy and 4 healthy items, arranged in three rows of four in Study 1, and one column of 12 in Study 2. In each study, participants selected one food item from one of the three experimental menus, before completing the Revised Restraint Scale (to determine dietary restraint status). In Study 1 (n = 172), item placement condition did not predict healthiness of food choice. In Study 2 (n = 182), healthy items were most popular from the first section of the menu, in comparison to the middle or last sections. Dietary restraint did not moderate the effect of item placement condition on food choice. In line with nudging principles, our results suggest that item placement techniques could be a potentially powerful tool in promoting healthy choices from online snack menus.

Potential effect of different nutritional labels on food choices among mothers: a study protocol

BACKGROUND

The prevalence of non-communicable diseases (NCDs) is increasing in the world. Healthy food choice and adequate physical activity are key factors in preventing NCDs. Food labeling is a strategy that can inform consumers to choose healthier foods at the point of purchase. In this study, we intend to examine the status of existing labels and to clarify their strengths and weaknesses. Then, for the first time in Iran, we will design a type of physical activity equivalent calorie label and will test it on some food groups of packaged products including dairy products, sweetened beverages, cakes, and biscuits.

METHODS

This study will be conducted in two phases. In phase 1, nutrition fact labels and traffic light labels will be assessed through focus group discussions and interviews among different groups of mothers, industrialists and nutrition and food industry specialists as to determine strengths and weaknesses of the current labels on packaged products. Then, the initial layout of the physical activity calorie equivalent label will be drawn with respect to the viewpoints received from mothers. Thereafter, we will include the scientific opinions to it for creating the first draft of our new label. In phase 2, a total of 500 mothers of students 6-12 years old randomly assigned to five groups. The study groups will be as follows: (1) without nutrition label group, (2) current traffic light label group, (3) current traffic light label group in which, a brochure will be used to inform mothers, (4) physical activity calorie equivalent label group, and (5) physical activity calorie equivalent label group in which a brochure will be used to inform mothers. Some samples of dairy products, beverages, cakes, and biscuits will be presented. ANOVA and multiple linear regressions will be used to examine the association between the label type and the main consequence (energy of the selected products) and secondary outcome (time).

DISCUSSION

The effect of the new food labels will be evaluated based on the differences between the calories of selected food groups.

TRIAL REGISTERATION

Iranian Registery of Clinical Trials [IRCT]20,181,002,041,201 N1.

Effects of physical activity calorie equivalent food labelling to reduce food selection and consumption: systematic review and meta-analysis of randomised controlled studies

Background

There is limited evidence that nutritional labelling on food/drinks is changing eating behaviours. Physical activity calorie equivalent (PACE) food labelling aims to provide the public with information about the amount of physical activity required to expend the number of kilocalories in food/drinks (eg, calories in this pizza requires 45 min of running to burn), to encourage healthier food choices and reduce disease.

Objective

We aimed to systematically search for randomised controlled trials and experimental studies of the effects of PACE food labelling on the selection, purchase or consumption of food/drinks.

Methods

PACE food labelling was compared with any other type of food labelling or no labelling (comparator). Reports were identified by searching electronic databases, websites and social media platforms. Inverse variance meta-analysis was used to summarise evidence. Weighted mean differences (WMD) and 95% CIs were used to describe between-group differences using a random effects model.

Results

15 studies were eligible for inclusion. When PACE labelling was displayed on food/drinks and menus, significantly fewer calories were selected, relative to comparator labelling (WMD=−64.9 kcal, 95% CI −103.2 to −26.6, p=0.009, n=4606). Presenting participants with PACE food labelling results in the consumption of significantly fewer calories (WMD=−80.4 kcal, 95% CI−136.7 to −24.2, p=0.005, n=486) relative to comparator food labelling.

Conclusion

Based on current evidence PACE food labelling may reduce the number of kilocalories selected from menus and decrease the number of kilocalories/grams of food consumed by the public, compared with other types of food labelling/no labelling.

Trial registration number

CRD42018088567.

Estimating the effect of calorie menu labeling on calories purchased in a large restaurant franchise in the southern United States: quasi-experimental study

OBJECTIVE

To evaluate whether calorie labeling of menus in large restaurant chains was associated with a change in mean calories purchased per transaction.

DESIGN

Quasi-experimental longitudinal study.

SETTING

Large franchise of a national fast food company with three different restaurant chains located in the southern United States (Louisiana, Texas, and Mississippi) from April 2015 until April 2018.

PARTICIPANTS

104 restaurants with calorie information added to in-store and drive-thru menus in April 2017 and with weekly aggregated sales data during the pre-labeling (April 2015 to April 2017) and post-labeling (April 2017 to April 2018) implementation period.

MAIN OUTCOME MEASURES

Primary outcome was the overall level and trend changes in mean purchased calories per transaction after implementation of calorie labeling compared with the counterfactual (ie, assumption that the pre-intervention trend would have persisted had the intervention not occurred) using interrupted time series analyses with linear mixed models. Secondary outcomes were by item category (entrees, sides, and sugar sweetened beverages). Subgroup analyses estimated the effect of calorie labeling in stratums defined by the sociodemographic characteristics of restaurant census tracts (defined region for taking census).

RESULTS

The analytic sample comprised 14 352 restaurant weeks. Over three years and among 104 restaurants, 49 062 440 transactions took place and 242 726 953 items were purchased. After labeling implementation, a level decrease was observed of 60 calories/transaction (95% confidence interval 48 to 72; about 4%), followed by an increasing trend of 0.71 calories/transaction/week (95% confidence interval 0.51 to 0.92) independent of the baseline trend over the year after implementation. These results were generally robust to different analytic assumptions in sensitivity analyses. The level decrease and post-implementation trend change were stronger for sides than for entrees or sugar sweetened beverages. The level decrease was similar between census tracts with higher and lower median income, but the post-implementation trend in calories per transaction was higher in low income (change in calories/transaction/week 0.94, 95% confidence interval 0.67 to 1.21) than in high income census tracts (0.50, 0.19 to 0.81).

CONCLUSIONS

A small decrease in mean calories purchased per transaction was observed after implementation of calorie labeling in a large franchise of fast food restaurants. This reduction diminished over one year of follow-up.

Physical activity equivalent labeling vs. calorie labeling: a systematic review and meta-analysis

BACKGROUND

Many countries are trying to identify strategies to control obesity. Nutrition labeling is a policy that could lead to healthy food choices by providing information to consumers. Calorie labeling, for example, could lead to consumers choosing lower calorie foods. However, its effectiveness has been limited. Recently, physical activity equivalent labeling (i.e., displaying calories in terms of estimated amount of physical activity to burn calories) has been proposed as an alternative to the calorie-only label. The aim of this review was to identify and evaluate the published literature comparing effects on health behavior between physical activity equivalent labeling and calorie-only labeling.

METHOD

We searched the following databases: Pubmed/medline, Scopus, Web of science, Agris, Cochrane library, Google Scholar. We also searched along with reference lists of included articles. Articles that were published between 1 January 2000 and 31 October 2016 were eligible for inclusion provided they reported on studies that examined the effects of both types of labeling and included at least one outcome of interest. Mean and standard deviations of the included results were combined using a fixed-effect model. The difference in calories purchased between people exposed to physical activity labeling and calorie-only labeling was calculated as weighted mean difference by using a fixed-effect model.

RESULT

The difference of calories ordered between physical activity label and calorie label groups was not statistically significant (SMD: -0.03; 95% CI: -0.13, 0.07). The difference of calories ordered between physical activity label and calorie label according to real vs unreal (e.g. web-based) condition was 65 Kcal fewer in real-world settings.

CONCLUSION

Physical activity calorie equivalent labeling in minutes does not significantly reduce calories ordered compared to calorie-only labeling.

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.

Effects of an icon-based menu labelling initiative on consumer food choice

Aims:

The purpose of this study was to examine the impact of an icon-based menu labelling initiative on consumer buying behaviour.

Methods:

This quasi-experimental study recruited a convenience sample of eight food service establishments, all with at least one menu item meeting the heart healthy criteria. Data from sales of all menu items sold over an 8-week period were collated 4 weeks prior to and 4 weeks during the display of information icons related to healthy food choices on menus.

Results:

The absolute change in menu item sales showed a non-significant trend towards an increase in healthier menu item selections. Furthermore, there was no association between the type of food service establishment and the percentage change in labelled menu item sales.

Conclusion:

The study did not find a statistically significant influence of the icon-based menu labels on consumer food choice. Given the limited amount of research that examines alternative menu labelling formats in real-world settings, more studies are necessary to confirm these results. Further research is needed to identify the optimal format, content and impact of menu labels on consumer behaviour.

Effect of calorie or exercise labels on menus on calories and macronutrients ordered and calories from specific foods in Hispanic participants: a randomized study

The effect of menu labels on food choices is unknown in Hispanics. This study evaluated the impact of menu labels on calories and macronutrients ordered in Hispanics. 372 Hispanics (18-65 years) were randomly assigned to menus with no labels (NL) (n=127), rank-ordered calorie labels plus a statement on energy needs per meal (CL) (n=123), or rank-ordered exercise labels showing minutes of brisk walking necessary to burn the food calories (EL) (n=122). The menus had identical food choices. Participants were instructed to select foods from the assigned menu as if having lunch in a fast food restaurant. One-way analysis of variance found no difference in calories ordered (median (25th and 75th centiles)) by menu condition (NL: 785.0 (465.0, 1010.0) kcal; CL: 790.0 (510.0, 1020.0) kcal; EL: 752.5 (520.0, 1033.8) kcal; p=0.75). Calories from specific foods and macronutrient intake were not different by menu condition. Menu label use was 26.8% in the CL and 25.4% in the EL condition. Calories ordered were not different between those who used and those who did not use the labels. Regression analysis showed that perception of being overweight (p=0.02), selecting foods based on health value (p<0.0001), and meeting exercise guidelines (p<0.0001) were associated with fewer calories ordered. Logistic regression showed that selecting foods based on health value (p=0.01) was associated with higher food label use. Menu labels did not affect food choices in Hispanic participants. Future studies should determine if nutrition, exercise, and weight perception counseling prior to menu labels intervention would result in better food choices.

TRIAL REGISTRATION NUMBER

NCT02804503; post-results.

Menu labelling is effective in reducing energy ordered and consumed: a systematic review and meta-analysis of recent studies

Objective

Menu labelling is a practical tool to inform consumers of the energy content of menu items and help consumers make informed decisions in the eating-out environment, and the volume of studies published recently regarding its effects is expanding, both quantitatively and geographically. The aim of the present review and meta-analysis is to consider the most recent evidence which assesses the effect of menu labelling regarding changes in energy consumed, ordered or selected in both real-world and experimental settings.

Design

The review included fifteen peer-reviewed, full-text articles published between 2012 and 2014. Pertinent methodological information was extracted from each of the included studies and a quality assessment scheme was applied to classify the studies, after which systematic across-study comparisons were conducted. A meta-analysis was conducted including twelve of the fifteen studies, and stratified according to type of research setting and outcome: energy consumed, ordered or selected.

Results

The rating yielded studies categorized by study quality: good (n 3), fair (n 9) and weak (n 3). Overall nine studies showed statistically significant reductions in energy consumed, ordered or selected. Three articles reported no effect of menu labelling. The meta-analysis showed statistically significant effects of menu labelling: overall energy consumed was reduced by a mean of 419·5 kJ (100·2 kcal) and energy ordered in real-world settings decreased by a mean of 325·7 kJ (77·8 kcal).

Conclusions

The review supports that menu labelling can effectively reduce energy ordered and consumed in the away-from-home food environment.

Systematic review and meta-analysis of the impact of restaurant menu calorie labeling

We conducted a systematic review and meta-analysis evaluating the relationship between menu calorie labeling and calories ordered or purchased in the PubMed, Web of Science, PolicyFile, and PAIS International databases through October 2013. Among 19 studies, menu calorie labeling was associated with a -18.13 kilocalorie reduction ordered per meal with significant heterogeneity across studies (95% confidence interval = -33.56, -2.70; P = .021; I(2) = 61.0%). However, among 6 controlled studies in restaurant settings, labeling was associated with a nonsignificant -7.63 kilocalorie reduction (95% confidence interval = -21.02, 5.76; P = .264; I(2) = 9.8%). Although current evidence does not support a significant impact on calories ordered, menu calorie labeling is a relatively low-cost education strategy that may lead consumers to purchase slightly fewer calories. These findings are limited by significant heterogeneity among nonrestaurant studies and few studies conducted in restaurant settings.