To evaluate the application of front-of-package (FOP) labelling regulations to menu labelling in the Canadian restaurant sector by assessing the proportion of menu items that would be required to display the ‘high-in’ FOP symbol if the policy were extended to the restaurant sector.

Nutrition information of 18 760 menu items was collected from 141 chain restaurants in Canada. Menu items were evaluated using the mandatory FOP labelling regulations promulgated in Canada Gazette II by Health Canada in July of 2022.

Chain restaurants with ≥20 establishments in Canada.

Canadian chain restaurant menu items including beverages, desserts, entrées, sides and starters.

Overall, 77 % of menu items in the Canadian restaurant sector would display a ‘high-in’ FOP symbol. Among these menu items, 43 % would display ‘high-in’ one nutrient, 54 % would display ‘high-in’ two and 3 % would display ‘high-in’ all three nutrients-of-concern. By nutrient, 52 % were ‘high-in’ sodium, and 24 and 47 % were ‘high-in’ total sugars and saturated fat, respectively.

Given the poor nutritional quality of restaurant foods, the current regulations, if applied to restaurant foods, would result in most menu items displaying a FOP symbol. Therefore, expanding the Canadian FOP labelling regulations to the restaurant sector can be key to ensuring a healthy food environment for Canadians. Furthermore, menu labelling along with other multi-faceted approaches such as reformulation targets are necessary to improve the dietary intake of Canadians from restaurant foods.

To describe the development and testing of two assessment tools designed to assess exterior (including drive-thru) and interior food and beverage marketing in restaurants with a focus on marketing to children and teens.

A scoping review on restaurant marketing to children was undertaken, followed by expert and government consultations to produce a draft assessment tool. The draft tool was mounted online and further refined into two separate tools: the Canadian Marketing Assessment Tool for Restaurants (CMAT-R) and the CMAT-Photo Coding Tool (CMAT-PCT). The tools were tested to assess inter-rater reliability using Cohen’s Kappa and per cent agreement for dichotomous variables, and intra-class correlation coefficients (ICCs) for continuous or rank-order variables.

Waterloo, Ontario, Canada.

Restaurants of all types were assessed using the CMAT-R (n 57), and thirty randomly selected photos were coded using the CMAT-PCT.

The CMAT-R collected data on general promotions and restaurant features, drive-thru features, the children’s menu and the dollar/value menu. The CMAT-PCT collected data on advertisement features, features considered appealing to children and teens, and characters. The inter-rater reliability of the CMAT-R tool was strong (mean per cent agreement was 92·4 %, mean Cohen’s κ = 0·82 for all dichotomous variables and mean ICC = 0·961 for continuous/count variables). The mean per cent agreement for the CMAT-PCT across items was 97·3 %, and mean Cohen’s κ across items was 0·91, indicating very strong inter-rater reliability.

The tools assess restaurant food and beverage marketing. Both showed high inter-rater reliability and can be adapted to better suit other contexts.

It is unknown whether the nutritional quality of children’s menus varies depending on the cuisine type. This study aimed to investigate differences in the nutritional quality of children’s menus by cuisine type in restaurants located in Perth, Western Australia (WA).

Cross-sectional study

Perth, WA.

Children’s menus (n 139) from the five most prevalent restaurant cuisine types in Perth (i.e. Chinese, Modern Australian, Italian, Indian and Japanese) were assessed using the Children’s Menu Assessment Tool (CMAT; range -5–21 with lower scores denoting lower nutritional quality) and the Food Traffic Light system, evaluated against Healthy Options WA Food and Nutrition Policy recommendations. Non-parametric ANOVA was used to test for a significant difference in total CMAT scores among cuisine types.

Total CMAT scores were low for all cuisine types (range -2–5), with a significant difference between cuisine types (Kruskal–Wallis H = 58·8, P < 0·001). The highest total CMAT score by cuisine type was Modern Australian (mean = 2·27, sd = 1·41) followed by Italian (mean = 2·02, sd = 1·02), Japanese (mean = 1·80, sd = 2·39), Indian (mean = 0·30, sd = 0·97) and Chinese (mean = 0·07, sd = 0·83). When using the Food Traffic Light for assessment, Japanese cuisine had the highest percentage of green food items (44 %), followed by Italian (42 %), Modern Australian (38 %), Indian (17 %) and Chinese (14 %).

Overall, the nutritional quality of children’s menus was poor regardless of cuisine type. However, children’s menus from Japanese, Italian and Modern Australian restaurants scored better in terms of nutritional quality than children’s menus from Chinese and Indian restaurants.

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.

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

Saudi Arabia.

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

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.

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

To assess the feasibility and efficacy of in-restaurant interventions aiming to promote healthy choices via fundraising incentives benefiting school wellness programmes and point-of-purchase nutrition promotion.

Twelve schools were randomly assigned to one of the two intervention periods: Fundraising Incentive (FI) donated funds for visiting the study restaurant and Fundraising-Healthy Eating Incentive (F-HEI) included FI with additional funds given when selecting a healthier item. Both conditions included point-of-purchase nutrition promotions. Families were recruited to attend their designated intervention and complete a survey. Feasibility was assessed based on recruitment and participation, implementation fidelity and intervention acceptability. Efficacy was assessed by comparing participant receipts between intervention periods and by comparing overall restaurant sales during intervention v. two no-intervention time frames.

Fast-casual restaurant in Southern California.

Parents with children attending participating schools.

Eighty-one families visited the restaurant during the intervention, with sixty-six completing surveys. All study activities were implemented successfully, but school family participation in the intervention was low (0·95 %). Among participants completing surveys, all indicated satisfaction with the programme. The percentage of healthier items ordered was significantly greater during both FI (χ2 = 5·97, P = 0·01) and F-HEI (χ2 = 8·84, P = 0·003) v. Comparison 2. Results were similar but did not reach statistical significance when comparing the interventions to Comparison 1.

Results support potential efficacy of this programme, but more research is needed to inform feasibility. Fidelity and acceptability data supported feasibility, but participation rates were low in this initial study. Methods evaluating this intervention with a greater proportion of parents should be considered.

Conceptualisations of ‘food deserts’ (areas lacking healthful food/drink) and ‘food swamps’ (areas overwhelm by less-healthful fare) may be both inaccurate and incomplete. Our objective was to more accurately and completely characterise food/drink availability in urban areas.

Cross-sectional assessment of select healthful and less-healthful food/drink offerings from storefront businesses (stores, restaurants) and non-storefront businesses (street vendors).

Two areas of New York City: the Bronx (higher-poverty, mostly minority) and the Upper East Side (UES; wealthier, predominantly white).

All businesses on 63 street segments in the Bronx (n 662) and on 46 street segments in the UES (n 330).

Greater percentages of businesses offered any, any healthful, and only less-healthful food/drink in the Bronx (42·0 %, 37·5 %, 4·4 %, respectively) than in the UES (30 %, 27·9 %, 2·1 %, respectively). Differences were driven mostly by businesses (e.g. newsstands, gyms, laundromats) not primarily focused on selling food/drink – ‘other storefront businesses’ (OSBs). OSBs accounted for 36·0 % of all food/drink-offering businesses in the Bronx (more numerous than restaurants or so-called ‘food stores’) and 18·2 % in the UES (more numerous than ‘food stores’). Differences also related to street vendors in both the Bronx and the UES. If street vendors and OSBs were not captured, the missed percentages of street segments offering food/drink would be 14·5 % in the Bronx and 21·9 % in the UES.

Of businesses offering food/drink in communities, OSBs and street vendors can represent substantial percentages. Focusing on only ‘food stores’ and restaurants may miss or mischaracterise ‘food deserts’, ‘food swamps’, and food/drink-source disparities between communities.

To assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks.

Agreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be ‘strict’ (by business name, e.g. ‘Rizzo’s’) or ‘lenient’ (by business type, e.g. ‘pizzeria’); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments.

The Bronx and the Upper East Side (UES), New York City, USA.

All food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES).

By ‘strict’ criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. ‘Lenient’ values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; ‘food stores’; and government-recognized other storefront businesses (‘gov. OSB’, i.e. dollar stores, gas stations, pharmacies). Additional business categories – ‘other OSB’ (barbers, laundromats, newsstands, etc.) and street vendors – were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES (‘other OSB’ and street vendors were sources of both healthful and less-healthful foods/drinks in both areas).

Government records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.

In light of the increasing prevalence of juvenile obesity seen around the world, obesogenic environments in general and the food environment in particular are receiving increasing attention in current public health research. Restaurants play a significant role in the food environment. The present study aimed to quantitatively describe and qualitatively evaluate the range of children’s meals available in full-service restaurants in Germany.

Five hundred restaurants were identified using a systematic quota sampling technique. The individual meals were evaluated using quality standards stipulated by the German Nutrition Society (DGE).

Nationwide sample of menus from full-service restaurants.

Meals (n 1877) from 500 menus were analysed.

Menus included 3·76 (sd 1·31) meals for children. About 70 % of the meals were limited to six typical dishes of low nutritional quality. In total, 54 % of meals included French fries or another form of fried potatoes. Of all meals, 23 % did not fulfil any of the eleven quality criteria set by the DGE and 38 % satisfied only one criterion. The majority of dishes on offer featured high energy density while simultaneously having low nutrient density. Healthy dishes were not highlighted visually in any menu.

The range of dishes on offer for children in German restaurants is severely lacking in variety and in need of improvement from a nutritional point of view. Considering the growing importance of restaurants as food environments, there is a need to improve the presentation of menus and the meals offered.

Eating away from home is associated with poor diet quality, in part due to less healthy food choices and larger portions. However, few studies account for the potential additional contribution of differences in food composition between restaurant- and home-prepared dishes. The present study aimed to investigate differences in nutrients of dishes prepared in restaurants v. at home.

Eight commonly consumed dishes were collected in twenty of each of the following types of locations: small and large restaurants, and urban and rural households. In addition, two fast-food items were collected from ten KFC, McDonald’s and food stalls. Five samples per dish were randomly pooled from every location. Nutrients were analysed and energy was calculated in composite samples. Differences in nutrients of dishes by preparation location were determined.

Hunan Province, China.

Na, K, protein, total fat, fatty acids, carbohydrate and energy in dishes.

On average, both the absolute and relative fat contents, SFA and Na:K ratio were higher in dishes prepared in restaurants than households (P < 0·05). Protein was 15 % higher in animal food-based dishes prepared in households than restaurants (P<0·05). Quantile regression models found that, at the 90th quantile, restaurant preparation was consistently negatively associated with protein and positively associated with the percentage of energy from fat in all dishes. Moreover, restaurant preparation also positively influenced the SFA content in dishes, except at the highest quantiles.

These findings suggest that compared with home preparation, dishes prepared in restaurants in China may differ in concentrations of total fat, SFA, protein and Na:K ratio, which may further contribute, beyond food choices, to less healthy nutrient intakes linked to eating away from home.

To assess parental awareness of per-meal energy (calorie) recommendations for children’s restaurant meals and to explore whether calorie awareness was associated with parental sociodemographic characteristics and frequency of eating restaurant food.

Cross-sectional online survey administered in July 2014. Parents estimated calories (i.e. kilocalories; 1 kcal=4·184 kJ) recommended for a child’s lunch/dinner restaurant meal (range: 0–2000 kcal). Responses were categorized as ‘underestimate’ (<400 kcal), ‘accurate’ (400–600 kcal) and ‘overestimate’ (>600 kcal). Confidence in response was measured on a 4-point scale from ‘very unsure’ to ‘very sure’. Logistic regressions estimated the odds of an ‘accurate’ response and confident response (‘somewhat’ or ‘very sure’) by parental sociodemographic characteristics and frequency of eating from restaurants. Sampling weights based on demographics were incorporated in all analyses.

USA.

Parents (n 1207) of 5–12-year-old children.

On average, parents estimated 631 (se 19·4) kcal as the appropriate amount for a 5–12-year-old child’s meal. Thirty-five per cent answered in the accurate range, while 33·3 and 31·8 % underestimated and overestimated, respectively. Frequent dining at restaurants, lower income and urban geography were associated with lower odds of answering accurately. Parents’ confidence in their estimates was low across the sample (26·0 % confident) and only 10·1 % were both accurate and confident.

Parent education about calorie recommendations for children could improve understanding and use of menu labelling information in restaurants. Targeted strategies are recommended to ensure that such efforts address, rather than exacerbate, health disparities.

Restaurants are playing an increasingly important role in children’s dietary intake. Interventions to promote healthy ordering in restaurants have primarily targeted adults. Much remains unknown about how to influence ordering for and by children. Using an ecological lens, the present study sought to identify sources of influence on ordering behaviour for and by children in restaurants.

A mixed-methods study was conducted using unobtrusive observations of dining parties with children and post-order interviews. Observational data included: child’s gender, person ordering for the child and server interactions with the dining party. Interview data included: child’s age, restaurant visit frequency, timing of child’s decision making, and factors influencing decision making.

Ten independent, table-service restaurants in San Diego, CA, USA participated.

Complete observational and interview data were obtained from 102 dining parties with 150 children (aged 3–14 years).

Taste preferences, family influences and menus impacted ordering. However, most children knew what they intended to order before arriving at the restaurant, especially if they dined there at least monthly. Furthermore, about one-third of children shared their meals with others and all shared meals were ordered from adult (v. children’s) menus. Parents placed most orders, although parental involvement in ordering was less frequent with older children. Servers interacted frequently with children but generally did not recommend menu items or prompt use of the children’s menu.

Interventions to promote healthy ordering should consider the multiple sources of influence that are operating when ordering for and by children in restaurants.

The present study aimed to (i) describe the availability of nutrition information in major chain restaurants, (ii) document the energy and nutrient levels of menu items, (iii) evaluate relationships with restaurant characteristics, menu labelling and trans fat laws, and nutrition information accessibility, and (iv) compare energy and nutrient levels against industry-sponsored and government-issued nutrition criteria.

Descriptive statistics and multivariate regression analysis of the energy, total fat, saturated fat, trans fat, sodium, carbohydrate and protein levels of 28 433 regular and 1833 children's menu items.

Energy and nutrition information provided on restaurant websites or upon request, and secondary databases on restaurant characteristics.

The top 400 US chain restaurants by sales, based on the 2009 list of the Restaurants & Institutions magazine.

Complete nutrition information was reported for 245 (61 %) restaurants. Appetizers had more energy, fat and sodium than all other item types. Children's menu specialty beverages had more fat, saturated fat and carbohydrates than comparable regular menu beverages. The majority of main entrées fell below one-third of the US Department of Agriculture's estimated daily energy needs, but as few as 3 % were also within limits for sodium, fat and saturated fat. Main entrées had significantly more energy, fat and saturated fat in family-style restaurants than in fast-food restaurants. Restaurants that made nutrition information easily accessible on websites had significantly lower energy, fat and sodium contents across menu offerings than those providing information only upon request.

The paper provides a comprehensive view of chain restaurant menu nutrition prior to nationwide labelling laws. It offers baseline data to evaluate how restaurants respond after laws are implemented.

The traditional Mediterranean food pattern is more easily preserved when meals are eaten at home; however, as a result of recent socio-economic changes, away-from-home meal consumption has increased rapidly in Mediterranean countries. Little research has been conducted so far to investigate the long-term health effects of these changes in the Mediterranean area.

In a prospective Spanish dynamic cohort of 9182 university graduates (the SUN Study; Seguimiento Universidad de Navarra, University of Navarra Follow-up) with a mean age of 37 years, followed up for an average of 4·4 years, we assessed the association between the frequency of eating out of home and weight gain or incident overweight/obesity. Dietary habits were assessed with an FFQ previously validated in Spain.

During follow-up, eating-out consumers (two times or more per week) had higher average adjusted weight gain (+129 g/year, P < 0·001) and higher adjusted risk of gaining 2 kg or more per year (OR = 1·36; 95 % CI 1·13, 1·63) than non-eating-out consumers. Among participants with baseline BMI < 25 kg/m2, we observed 855 new cases of overweight/obesity. Eating away-from-home meals was significantly associated with a higher risk of becoming overweight/obese (hazard ratio = 1·33; 95 % CI 1·13, 1·57).

A higher frequency of meals eaten out of home may play a role in the current obesity epidemic observed in some Mediterranean countries.