To investigate the advertising patterns on the posts of a fast-food chain in Brazil on three social media platforms in 2019.

An exploratory cross-sectional study.

Advertising strategies on the posts of a major fast-food chain on their official Facebook, Instagram and YouTube accounts. The strategies were investigated according to the INFORMAS protocol for food promotion monitoring. Principal component analysis (PCA) was employed to identify advertising patterns in each platform.

305 advertisements

Four advertising patterns were identified in the PCA of Facebook and Instagram. In both platforms, the components for kids and product exaltation were similar. On Facebook, a pattern corresponding to economic appeal was identified as price and discount, while on Instagram, this pattern also included a practical approach. On Facebook, the fourth component was named celebrity, while on Instagram it was celebrity/innovation since on this second social media the component also included the ‘new brand development’ variable. On YouTube, three advertising patterns were identified in PCA. Similar to the other platforms, the first and the second patterns were called for kids and price and discount, and the third component referred to both celebrity and commemorative dates.

The advertising patterns of the fast-food chain on three social media platforms were commonly directed to children and addressed price, discounts and the celebrities’ universe. The findings of this study corroborate other data in the literature regarding unhealthy food advertising on social media. This study discusses the urgency of regulating food advertising content on this medium.

Despite the increased attention on neighbourhood food environments and dietary behaviours, studies focusing on adolescents are limited. This study aims to characterise typologies of food environments surrounding adolescents and their associations with fast food outlet visitation and snack food purchasing to/from school.

The number of food outlets (supermarket; green grocers; butcher/seafood/deli; bakeries; convenience stores; fast food/takeaways; café and restaurants) within a 1 km buffer from home was determined using a Geographic Information System. Adolescents’ self-reported frequency of fast food outlet visitation and snack food purchasing to/from school. Latent Profile Analysis was conducted to identify typologies of the food environment. Cross-sectional multilevel logistic regression analyses were conducted to examine the relationships between food typologies, fast food outlet visitations and snack food purchasing to/from school.

Melbourne, Australia.

Totally, 410 adolescents (mean age= 15·5 (sd = 1·5) years).

Four distinct typologies of food outlets were identified: (1) limited variety/low number; (2) some variety/low number; (3) high variety/medium number and (4) high variety/high number. Adolescents living in Typologies 1 and 2 had three times higher odds of visiting fast food outlets ≥1 per week (Typology 1: OR = 3·71, 95 % CI 1·23, 11·19; Typology 2: OR = 3·65, 95 % CI 1·21, 10·99) than those living in Typology 4. No evidence of association was found between typologies of the food environments and snack food purchasing behaviour to/from school among adolescents.

Local government could emphasise an overall balance of food outlets when designing neighbourhoods to reduce propensity for fast food outlet visitation among adolescents.

To assess the price promotions offered by major quick service restaurant (QSR) chains in Australia from an obesity prevention perspective.

Cross-sectional audit of ten of the largest QSR chains in Australia. We collected information regarding temporary price promotions and ‘combination deals’ offered by each chain over thirteen consecutive weeks in 2019–2020. We assessed the type of promotions, the magnitude of discount, and the energy content and healthiness of items promoted (based on Victorian Government criteria).

Melbourne, Australia.

Ten major QSR chains.

Temporary price promotions (n 196) and combination deals (n 537 on regular menus, n 36 on children’s menus) were observed across the ten selected QSR chains. In relation to temporary price promotions, the mean magnitude of discount for main menu items (n 75) was 41·7 %. The price reductions and energy content of combination deals varied substantially the by chain, the meal size and the sides/drinks selected as part of the ‘deal’. When the lowest-energy options (e.g. small chips, small sugar-free drink) were included as part of each combination deal, the mean energy content was 2935 kJ, compared to 5764 kJ when the highest-energy options (e.g. large fries, large sugar-sweetened drink) were included. Almost all available products were classified as unhealthy.

Price promotions are ubiquitous in major QSR chains in Australia and provide incentives to consume high levels of energy. The action to restrict price promotions on unhealthy foods and ensure lower-energy default items as part of combination deals should be included as part of efforts to improve population diets and address obesity in Australia.

The aim of the current study was to establish whether the neighbourhood food environment, characterised by the healthiness of food outlets, the diversity of food outlets and fast-food outlet density within a 500 m or 1000 m street network buffer around the home address, contributed to ethnic differences in diet quality.

Cross-sectional cohort study.

Amsterdam, the Netherlands.

Data on adult participants of Dutch, South-Asian Surinamese, African Surinamese, Turkish and Moroccan descent (n total 4728) in the HELIUS study were analysed.

The neighbourhood food environment of ethnic minority groups living in Amsterdam is less supportive of a healthy diet and of less diversity than that of participants of Dutch origin. For example, participants of Turkish, Moroccan and South-Asian Surinamese descent reside in a neighbourhood with a significantly higher fast-food outlet density (≤1000 m) than participants of Dutch descent. However, we found no evidence that neighbourhood food environment characteristics directly contributed to ethnic differences in diet quality.

Although ethnic minority groups lived in less healthy food environments than participants of ethnic Dutch origin, this did not contribute to ethnic differences in diet quality. Future research should investigate other direct or indirect consequences of residing in less supportive food environments and gain a better understanding of how different ethnic groups make use of their neighbourhood food environment.

In 2019, California and Wilmington, Delaware‘ implemented policies requiring healthier default beverages with restaurant kids’ meals. The current study assessed restaurant beverage offerings and manager perceptions.

Pre-post menu observations were conducted in California and Wilmington. Observations of cashiers/servers during orders were conducted pre-post implementation in California and post-implementation in Wilmington. Changes in California were compared using multilevel logistic regression and paired t tests. Post-implementation, managers were interviewed.

Inside and drive-through ordering venues in a sample of quick-service restaurants in low-income California communities and all restaurants in Wilmington subject to the policy, the month before and 7–12 months after policy implementation.

Restaurant observations (California n 110; Wilmington n 14); managers (California n 75; Wilmington n 15).

Pre-implementation, the most common kids’ meal beverages on California menus were unflavoured milk and water (78·8 %, 52·0 %); in Wilmington, juice, milk and sugar-sweetened beverages were most common (81·8 %, 66·7 % and 46·2 %). Post-implementation, menus including only policy-consistent beverages significantly increased in California (9·7 % to 66·1 %, P < 0·0001), but remained constant in Wilmington (30·8 %). During orders, cashiers/servers offering only policy-consistent beverages significantly decreased post-implementation in California (5·0 % to 1·0 %, P = 0·002). Few managers (California 29·3 %; Wilmington 0 %) reported policy knowledge, although most expressed support. Most managers wanted additional information for customers and staff.

While the proportion of menus offering only policy-consistent kids’ meal default beverages increased in California, offerings did not change in Wilmington. In both jurisdictions, managers lacked policy knowledge, and few cashiers/servers offered only policy-consistent beverages. Additional efforts are needed to strengthen implementation of kids’ meal beverage policies.

To evaluate the effect of a sugar-sweetened beverage (SSB) tax implemented in Oakland, California, in July 2017, on prices of beverages sold in fast-food restaurants 2-year post-tax.

Using a difference-in-differences (DID) approach, we analysed beverage price data collected from fast-food restaurants 1-month pre-tax and 2-year post-tax in Oakland (intervention site) and Sacramento, California (comparison site). Separate linear regression models were used to estimate the impact of the tax on prices of bottled regular soda, bottled diet soda, bottled unsweetened beverages and fountain drinks.

Oakland and Sacramento, California, USA.

Chain and non-chain fast-food restaurants (n 85).

DID estimates indicate that in fast-food restaurants, on average, the price of bottled regular soda increased by 1·44 cents/oz (95 % CI 0·50, 2·73) (tax pass-through rate of 144 %) and the price of bottled diet soda increased by 1·17 cents/oz (95 % CI 0·07, 2·13). No statistically significant differences were found between bottled regular and diet soda price increases. Price effects for unsweetened beverages and fountain drinks were not statistically significant. Further, the estimated price change for fountain drinks was nearly zero.

Findings suggest that the effectiveness of SSB taxes in discouraging SSB consumption may be limited in fast-food restaurants in Oakland, California, because there were similar price increases in taxed and untaxed bottled soda and no changes in fountain drink prices.

The current study aimed to explore the interplay between food insecurity, fast-food outlet exposure and dietary quality in disadvantaged neighbourhoods.

In this cross-sectional study, main associations between fast-food outlet density and proximity, food insecurity status and dietary quality were assessed using Generalized Estimating Equation analyses. We assessed potential moderation by fast-food outlet exposure in the association between food insecurity status and dietary quality by testing for effect modification between food insecurity status and fast-food outlet density and proximity.

A deprived urban area in the Netherlands.

We included 226 adult participants with at least one child below the age of 18 years living at home.

Fast-food outlet exposure was not associated with experiencing food insecurity (fast-food outlet density: b = −0·026, 95 % CI = −0·076; 0·024; fast-food outlet proximity: b = −0·003, 95 % CI = −0·033; 0·026). Experiencing food insecurity was associated with lower dietary quality (b = −0·48 per unit increase, 95 % CI = −0·94; −0·012). This association was moderated by fast-food outlet proximity (Pinteraction = 0·008), and stratified results revealed that the adverse effect of food insecurity on dietary quality was more pronounced for those with the nearest fast-food outlet located closer to the home.

Food insecurity but not fast-food outlet density is associated with dietary quality. However, the association between food insecurity and dietary quality may be modified by the food environment. These findings could inform policymakers to promote a healthier food environment including less fast-food outlets, with particular emphasis on areas with high percentages of food insecure households.

The aim of this cross-sectional study was to examine the association between childhood obesity and modifiable population-level risk factors, after accounting for deprivation.

A review of the literature identified population-level risk factors including a healthy childcare setting, the local food environment, accessible open space, community safety and crime. Data for these risk factors were then identified and matched by each of the twenty-two local government areas in Wales to each child that had data on height and weight in the Wales Childhood Measurement Programme (CMP) (2012–2017). Multivariable logistic regression was used to identify associations with childhood obesity.

The current study was undertaken in Wales, UK, where approximately one in eight 4–5-year-olds are classified as obese.

All participants were children aged 4 or 5 years who attend school, measured as part of the CMP, between 2012 and 2017 (n 129 893, mean age 5·0 (sd 0·4) years).

After adjusting for deprivation, small but statistically significant associations were found between childhood obesity and percentage of land available as accessible open space OR 0·981 (95 % CI: 0·973, 0·989) P < 0·001) and density of fast food outlets OR 1·002 (95 % CI 1·001, 1·004, P = 0·001). No other population-level risk factors were associated with childhood obesity.

The current study indicates that, even after accounting for deprivation, risk factors such as the density of fast food outlets and access to green space should be considered when tackling childhood obesity as a public health issue.

To compare the sugar content of items at four multinational fast-food chains, across three countries.

Total sugar (g)/per serving was extracted from online nutrition information, and sugar/100 g serving was calculated. Foods were categorised as: breakfast sandwiches, burgers, sandwiches, desserts and condiments. Beverages were categorised as fountain, frozen or pre-packaged. Sugar (g) was compared across countries using linear mixed-effects models. Pairwise comparisons were performed with Tukey–Kramer adjustments.

USA, Germany and Australia.

Burger King™ (Hungry Jack’s™), Kentucky Fried Chicken™, McDonald’s™ and Subway™.

Differences in total sugar/100 g or ml were observed across countries for burgers (n 104), desserts (n 110), sandwiches (n 178), pre-packaged beverages (n 36) and frozen beverages (n 72). Comparing identical items across countries (e.g. BigMacTM from McDonalds in USA, Germany and Australia), burgers (n 10 available in all three countries) had lower sugar content in Australia (3·4 g/100 g) compared with the USA (4·7 g/100 g, P = 0·02) or Germany (4·6 g/100 g, P = 0·04), yet no differences were observed in other food categories. Comparing the same beverages across countries (e.g. chocolate shake from Burger King), frozen beverages (n 4 available in all three countries) had lower sugar content in Australia (14·2 g/100 ml), compared with the USA (20·3 g/100 ml, P = 0·0005) or Germany (17·8 g/100 ml, P = 0·0148), yet no differences were observed in other beverage categories.

Heterogeneity in fast-food sugar content across countries suggests that reductions are possible and should be implemented to reduce health risks associated with excess added sugar intake.

To examine demographic and behavioural correlates of frequent consumption of fast food among Australian secondary school students and explore the associations between fast food consumption and social/environmental factors.

Cross-sectional survey using a web-based self-report questionnaire.

Secondary schools across all Australian states and territories.

Students aged 12–17 years participating in the 2012–2013 National Secondary Students’ Diet and Activity survey (n 8392).

Overall, 38 % of students surveyed reported consuming fast food at least weekly. Being male, residing in lower socio-economic areas and metropolitan locations, having more weekly spending money and working at a fast food outlet were all independently associated with consuming fast food once a week or more, as were several unhealthy eating (low vegetable intake and high sugary drink and snack food intake) and leisure (low physical activity and higher commercial television viewing) behaviours and short sleep duration. Frequent fast food consumption and measured weight status were unrelated. Students who agreed they go to fast food outlets with their family and friends were more likely to report consuming fast food at least weekly, as were those who usually ‘upsize’ their fast food meals and believe fast food is good value for money.

These results suggest that frequent fast food consumption clusters with other unhealthy behaviours. Policy and educational interventions that reach identified at-risk groups are needed to reduce adolescent fast food consumption at the population level. Policies placing restrictions on the portion sizes of fast food may also help adolescents limit their intake.

A quarter of Australian children are overweight or obese. Research conducted in 2010 found that fast-food children’s meals were energy-dense and nutrient-poor. Since then, menu labelling and self-regulation of marketing have been introduced in Australia. The present study aimed to: (i) investigate the nutrient composition of children’s meals offered at fast-food chains; (ii) compare these with children’s daily requirements and recommendations and the food industry’s own criteria for healthier children’s meals; and (iii) determine whether results have changed since last investigated in 2010.

An audit of nutrition information for fast-food children’s meals was conducted. Meals were compared with 30 % (recommended contribution for a meal) and 100 % of children’s daily recommendations and requirements. A comparative analysis was conducted to determine if the proportion of meals that exceeded meal requirements and recommendations, and compliance with the food industry’s own criteria, changed between 2010 and 2016.

Large Australian fast-food chains.

All possible children’s meal combinations.

Overall, 289 children’s meals were included. Most exceeded 30 % of daily recommendations and requirements for a 4-year-old’s energy, saturated fat, sugars and Na. Results were also substantial for 8- and 13-year-olds, particularly for Na. When compared with mean energy and nutrient contents from 2010, there were minimal changes overall.

Children’s meals can provide excess energy, saturated fat, sugar and Na to children’s diets. Systematic reformulation of energy, saturated fat, sugars and Na would improve the nutrient composition of the meals.

To evaluate the nutritional quality, particularly the fat and salt contents, of meals offered to children (kids’ meals) at chain restaurants in Japan.

A web-based content analysis was conducted to evaluate the type of restaurant, type of meal, incentives, health claims and nutrition data of kids’ meals. The nutritional appropriateness of kids’ meals was assessed with the Standard for the School Lunch Program, which regulates energy (≤2218 kJ), protein (20–30 g), fat (≤30 % of energy (E%)) and salt (<2 g) contents of the school lunch in Japan. Linear mixed models were employed for evaluating the relationship between the characteristics of kids’ meals and their fat (E%) or salt (g) content.

Restaurant websites providing nutritional data of kids’ meals in Japan.

A total of 438 kids’ meals offered by forty-two chain restaurant brands from across twenty food-service companies.

Overall, 58·9, 40·6 and 34·5 % of the kids’ meals were determined to be appropriate regarding their energy (≤2218 kJ), fat (≤30 E%) and salt content (<2 g). In addition, 15·5 % of kids’ meals met the multiple standards of energy, fat and salt contents. ‘Japanese-style’ (restaurant-level characteristic) was associated with a decrease in the fat E% of kids’ meals (β=−6·2; 95 % CI −11·0, −1·4) and an increase in the salt content (β=0·7; 95 % CI 0·06, 1·3).

The characteristics of the restaurant-served kids’ meals in Japan were high fat E% and high salt content from different cultural contexts of the Western and the Japanese diet.

To examine associations between availability of fast-food restaurants and convenience stores in the home and school neighbourhoods, considered separately and together, and adolescents’ fast-food and sugar-sweetened beverage (SSB) intakes.

Cross-sectional observational study.

East London, UK.

Adolescents (n 3089; aged 13–15 years) from the Olympic Regeneration in East London (ORiEL) Study self-reported their weekly frequency of fast-food and SSB consumption. We used food business addresses collected from local authority registers to derive absolute (counts) and relative (proportions) exposure measures to fast-food restaurants and convenience stores within 800 m from home, school, and home and school combined. Associations between absolute and relative measures of the food environment and fast-food and SSB intakes were assessed using Poisson regression models with robust standard errors.

Absolute exposure to fast-food restaurants or convenience stores in the home, school, or combined home and school neighbourhoods was not associated with any of the outcomes. High SSB intake was associated with relative exposure to convenience stores in the residential neighbourhood (risk ratio=1·45; 95 % CI 1·08, 1·96) and in the home and school neighbourhoods combined (risk ratio=1·69; 95 % CI 1·11, 2·57).

We found no evidence of an association between absolute exposure to fast-food restaurants and convenience stores around home and school and adolescents’ fast-food and SSB intakes. Relative exposure, which measures the local diversity of the neighbourhood food environment, was positively associated with SSB intake. Relative measures of the food environment may better capture the environmental risks for poor diet than absolute measures.

To examine the nutritional quality of menu items promoted in four (US) fast-food restaurant chains (McDonald’s, Burger King, Wendy’s, Taco Bell) in 2010 and 2013.

Menu items pictured on signs and menu boards were recorded at 400 fast-food restaurants across the USA. The Nutrient Profile Index (NPI) was used to calculate overall nutrition scores for items (higher scores indicate greater nutritional quality) and was dichotomized to denote healthier v. less healthy items. Changes over time in NPI scores and energy of promoted foods and beverages were analysed using linear regression.

Four hundred fast-food restaurants (McDonald’s, Burger King, Wendy’s, Taco Bell; 100 locations per chain).

NPI of fast-food items marketed at fast-food restaurants.

Promoted foods and beverages on general menu boards and signs remained below the ‘healthier’ cut-off at both time points. On general menu boards, pictured items became modestly healthier from 2010 to 2013, increasing (mean (se)) by 3·08 (0·16) NPI score points (P<0·001) and decreasing (mean (se)) by 130 (15) kJ (31·1 (3·65) kcal; P<0·001). This pattern was evident in all chains except Taco Bell, where pictured items increased in energy. Foods and beverages pictured on the kids’ section showed the greatest nutritional improvements. Although promoted foods on general menu boards and signs improved in nutritional quality, beverages remained the same or became worse.

Foods, and to a lesser extent, beverages, promoted on menu boards and signs in fast-food restaurants showed limited improvements in nutritional quality in 2013 v. 2010.

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.

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.

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

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

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).

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.

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.

Logistic and linear regression with cross-sectional survey data.

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.

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

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.

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.