Consumers' estimation of calorie content at fast food restaurants: cross sectional observational study.
Ontology highlight
ABSTRACT: Objective
To investigate estimation of calorie (energy) content of meals from fast food restaurants in adults, adolescents, and school age children.Design
Cross sectional study of repeated visits to fast food restaurant chains.Setting
89 fast food restaurants in four cities in New England, United States: McDonald's, Burger King, Subway, Wendy's, KFC, Dunkin' Donuts.Participants
1877 adults and 330 school age children visiting restaurants at dinnertime (evening meal) in 2010 and 2011; 1178 adolescents visiting restaurants after school or at lunchtime in 2010 and 2011.Main outcome measure
Estimated calorie content of purchased meals.Results
Among adults, adolescents, and school age children, the mean actual calorie content of meals was 836 calories (SD 465), 756 calories (SD 455), and 733 calories (SD 359), respectively. A calorie is equivalent to 4.18 kJ. Compared with the actual figures, participants underestimated calorie content by means of 175 calories (95% confidence interval 145 to 205), 259 calories (227 to 291), and 175 calories (108 to 242), respectively. In multivariable linear regression models, underestimation of calorie content increased substantially as the actual meal calorie content increased. Adults and adolescents eating at Subway estimated 20% and 25% lower calorie content than McDonald's diners (relative change 0.80, 95% confidence interval 0.66 to 0.96; 0.75, 0.57 to 0.99).Conclusions
People eating at fast food restaurants underestimate the calorie content of meals, especially large meals. Education of consumers through calorie menu labeling and other outreach efforts might reduce the large degree of underestimation.
SUBMITTER: Block JP
PROVIDER: S-EPMC3662831 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:BackgroundRestaurant foods have high sodium levels, and efforts have been made to promote reductions. The objective of this study was to understand if salt substitutes and enhancers are associated with changes in sodium levels in fast-food restaurants.MethodsA longitudinal database (MENU-FLIP) containing nutrition information for Canadian chain restaurants with 20 or more locations nationally was created in 2010 and updated in 2013 and 2016. In 2016, when available, ingredient lists were collected from restaurant websites and searched for the presence of salt substitutes/enhancers. Changes in sodium levels (per serving) and the prevalence of salt substitutes/enhancers in 222 foods from 12 of the leading fast-food restaurant chains were compared across 3 time points.ResultsSixty-nine percent of foods contained a salt substitute/enhancer. Substitutes/enhancers were found in every restaurant chain (n = 12) for which ingredient data were available. The most common substitutes/enhancers were yeast extracts (in 30% of foods), calcium chloride (28%), monosodium glutamate (14%) and potassium chloride (12%). Sodium levels in foods that contained substitutes/enhancers decreased significantly more (190 ± 42 mg/serving) over the study period than those in foods that did not contain a substitute/enhancer (40 ± 17 mg/serving, p < 0.001).InterpretationSalt substitutes and enhancers are prevalent in restaurant foods and are one means by which restaurants may be lowering sodium levels in their foods. At this time, the potential consequences of these findings, if any, are uncertain.
| S-EPMC5878952 | biostudies-literature
Project description:ImportanceCalorie labeling on menus is required in US chain food establishments with 20 or more locations. This policy may encourage retailers to offer lower-calorie items, which could lead to a public health benefit by reducing customers' calorie intake from prepared foods. However, potential reformulation of restaurant menu items has not been examined since nationwide enforcement of this policy in 2018.ObjectiveTo examine the calorie content of menu items at large chain restaurants before and after implementation of federally mandated menu calorie labels.Design, setting, and participantsThis pre-post cohort study used restaurant menu data from MenuStat, a database of nutrition information for menu items offered in the largest chain restaurants in the US, collected annually from 2012 to 2019. The study comprised 35 354 menu items sold at 59 large chain restaurants in the US. Statistical analysis was conducted from February 4 to October 8, 2021.InterventionNationwide implementation of menu calorie labeling.Main outcomes and measuresChanges in menu items' calorie content after restaurant chains implemented calorie labels were estimated, adjusting for prelabeling trends. All menu items, continuously available items, items newly introduced to menus, and items removed from menus were examined separately.ResultsAmong the 59 restaurant chains included in the study, after labeling, there were no changes in mean calorie content for all menu items (change = -2.0 calories; 95% CI, -8.5 to 4.4 calories) or continuously available items (change = -2.3 calories; 95% CI, -11.5 to 6.3 calories). Items that were newly introduced after labeling, however, had a lower mean calorie content than items introduced before labeling (change = -112.9 calories; 95% CI, -208.6 to -25.2 calories), although there was heterogeneity by restaurant type. Items removed from menus after labeling had similar calorie content as items removed before labeling (change = 0.5 calories; 95% CI, -79.4 to 84.0 calories).Conclusions and relevanceIn this cohort study of large chain restaurants, implementing calorie labels on menus was associated with the introduction of lower-calorie items but no changes in continuously available or removed items.
| S-EPMC8719240 | biostudies-literature
Project description:BackgroundCalorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus.Methods and findingsWe obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data.ConclusionsIn this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.
| S-EPMC8312920 | biostudies-literature
Project description:Restaurants are key venues for reducing sodium intake in the U.S. but little is known about consumer perceptions of sodium in restaurant foods. This study quantifies the difference between estimated and actual sodium content of restaurant meals and examines predictors of underestimation in adult and adolescent diners at fast food restaurants. In 2013 and 2014, meal receipts and questionnaires were collected from adults and adolescents dining at six restaurant chains in four New England cities. The sample included 993 adults surveyed during 229 dinnertime visits to 44 restaurants and 794 adolescents surveyed during 298 visits to 49 restaurants after school or at lunchtime. Diners were asked to estimate the amount of sodium (mg) in the meal they had just purchased. Sodium estimates were compared with actual sodium in the meal, calculated by matching all items that the respondent purchased for personal consumption to sodium information on chain restaurant websites. Mean (SD) actual sodium (mg) content of meals was 1292 (970) for adults and 1128 (891) for adolescents. One-quarter of diners (176 (23%) adults, 155 (25%) adolescents) were unable or unwilling to provide estimates of the sodium content of their meals. Of those who provided estimates, 90% of adults and 88% of adolescents underestimated sodium in their meals, with adults underestimating sodium by a mean (SD) of 1013 mg (1,055) and adolescents underestimating by 876 mg (1,021). Respondents underestimated sodium content more for meals with greater sodium content. Education about sodium at point-of-purchase, such as provision of sodium information on restaurant menu boards, may help correct consumer underestimation, particularly for meals of high sodium content.
| S-EPMC6347977 | biostudies-literature
Project description:BACKGROUND:Software designed to accurately estimate food calories from still images could help users and health professionals identify dietary patterns and food choices associated with health and health risks more effectively. However, calorie estimation from images is difficult, and no publicly available software can do so accurately while minimizing the burden associated with data collection and analysis. OBJECTIVE:The aim of this study was to determine the accuracy of crowdsourced annotations of calorie content in food images and to identify and quantify sources of bias and noise as a function of respondent characteristics and food qualities (eg, energy density). METHODS:We invited adult social media users to provide calorie estimates for 20 food images (for which ground truth calorie data were known) using a custom-built webpage that administers an online quiz. The images were selected to provide a range of food types and energy density. Participants optionally provided age range, gender, and their height and weight. In addition, 5 nutrition experts provided annotations for the same data to form a basis of comparison. We examined estimated accuracy on the basis of expertise, demographic data, and food qualities using linear mixed-effects models with participant and image index as random variables. We also analyzed the advantage of aggregating nonexpert estimates. RESULTS:A total of 2028 respondents agreed to participate in the study (males: 770/2028, 37.97%, mean body mass index: 27.5 kg/m2). Average accuracy was 5 out of 20 correct guesses, where "correct" was defined as a number within 20% of the ground truth. Even a small crowd of 10 individuals achieved an accuracy of 7, exceeding the average individual and expert annotator's accuracy of 5. Women were more accurate than men (P<.001), and younger people were more accurate than older people (P<.001). The calorie content of energy-dense foods was overestimated (P=.02). Participants performed worse when images contained reference objects, such as credit cards, for scale (P=.01). CONCLUSIONS:Our findings provide new information about how calories are estimated from food images, which can inform the design of related software and analyses.
| S-EPMC6246963 | biostudies-literature
Project description:OBJECTIVE:Obesity is a pressing public health problem without proven population-wide solutions. Researchers sought to determine whether a city-mandated policy requiring calorie labeling at fast food restaurants was associated with consumer awareness of labels, calories purchased and fast food restaurant visits. DESIGN AND METHODS:Difference-in-differences design, with data collected from consumers outside fast food restaurants and via a random digit dial telephone survey, before (December 2009) and after (June 2010) labeling in Philadelphia (which implemented mandatory labeling) and Baltimore (matched comparison city). Measures included: self-reported use of calorie information, calories purchased determined via fast food receipts, and self-reported weekly fast-food visits. RESULTS:The consumer sample was predominantly Black (71%), and high school educated (62%). Postlabeling, 38% of Philadelphia consumers noticed the calorie labels for a 33% point (P?<?0.001) increase relative to Baltimore. Calories purchased and number of fast food visits did not change in either city over time. CONCLUSIONS:While some consumers report noticing and using calorie information, no population level changes were noted in calories purchased or fast food visits. Other controlled studies are needed to examine the longer term impact of labeling as it becomes national law.
| S-EPMC3947482 | biostudies-literature
Project description:BackgroundFew studies have investigated the diet quality of consumers of low-calorie-sweetened (LCS) and calorie-sweetened (CS) beverages.ObjectiveThe objective was to examine the dietary quality and adherence to dietary purchasing and consumption patterns of beverage consumers from 2000 to 2010.DesignWe analyzed purchases for 140,352 households from the Homescan longitudinal data set 2000-2010 and dietary intake from NHANES 2003-2010 (n = 34,393). We defined mutually exclusive consumer profiles as main exposures: LCS beverages, CS beverages, LCS & CS beverages, and non/low consumers. As main outcomes, we explored dietary quality by using total energy and macronutrients (kcal/d). We performed factor analyses and applied factor scores to derive dietary patterns as secondary outcomes. Using multivariable linear (NHANES) and random-effects (Homescan) models, we investigated the associations between beverage profiles and dietary patterns.ResultsWe found "prudent" and "breakfast" patterns in Homescan and NHANES, "ready-to-eat meals/fast-food" and "prudent/snacks/LCS desserts" patterns in Homescan, and "protein/potatoes" and "CS desserts/sweeteners" patterns in NHANES. In both data sets, compared with non/low consumers, both CS- and LCS-beverage consumers had a significantly higher total energy from foods, higher energy from total and SFAs, and lower probability of adherence to prudent and breakfast patterns. In Homescan, LCS-beverage consumers had a higher probability of adherence to 2 distinct patterns: a prudent/snacks/LCS dessert pattern and a ready-to-eat meals/fast-food purchasing pattern.ConclusionsOur findings suggest that overall dietary quality is lower in LCS-, CS-, and LCS & CS-beverage consumers relative to non/low consumers. Our study highlights the importance of targeting foods that are linked with sweetened beverages (either LCS or CS) in intervention and policy efforts that aim to improve nutrition in the United States.
| S-EPMC3927690 | biostudies-literature
Project description:BackgroundUnhealthy food environments may contribute to unhealthy diets and risk of overweight and obesity through increased consumption of fast-food. Therefore, we aimed to study the association of relative exposure to fast-food restaurants (FFR) with overall diet quality and risk of overweight and obesity in a sample of older adults.MethodsWe analyzed cross-sectional data of the EPIC-NL cohort (n = 8,231). Data on relative FFR exposure was obtained through linkage of home address in 2015 with a retail outlet database. We calculated relative exposure to FFR by dividing the densities of FFR in street-network buffers of 400, 1000, and 1500 m around the home of residence by the density of all food retailers in the corresponding buffer. We calculated scores on the Dutch Healthy Diet 2015 (DHD15) index using data from a validated food-frequency questionnaire. BMI was categorized into normal weight (BMI < 25), overweight (25 ≤ BMI < 30), and obesity (BMI ≥ 30). We used multivariable linear regression (DHD15-index) and multinomial logistic regression (weight status), using quartiles of relative FFR exposure as independent variable, adjusting for lifestyle and environmental characteristics.ResultsRelative FFR exposure was not significantly associated with DHD15-index scores in the 400, 1000, and 1500 m buffers (βQ4vsQ1= -0.21 [95 %CI: -1.12; 0.70]; βQ4vsQ1= -0.12 [95 %CI: -1.10; 0.87]; βQ4vsQ1 = 0.37 [95 %CI: -0.67; 1.42], respectively). Relative FFR exposure was also not related to overweight in consecutive buffers (ORQ4vsQ1=1.10 [95 %CI: 0.97; 1.25]; ORQ4vsQ1=0.97 [95 %CI: 0.84; 1.11]; ORQ4vsQ1= 1.04 [95 %CI: 0.90-1.20]); estimates for obesity were similar to those of overweight.ConclusionsA high proportion of FFR around the home of residence was not associated with diet quality or overweight and obesity in this large Dutch cohort of older adults. We conclude that although the food environment may be a determinant of food choice, this may not directly translate into effects on diet quality and weight status. Methodological improvements are warranted to provide more conclusive evidence.
| S-EPMC8210363 | biostudies-literature
Project description:BACKGROUND:The built environment might be associated with development of obesity and related disorders. We examined whether neighbourhood exposure to fast-food outlets and physical activity facilities were associated with adiposity in UK adults. METHODS:We used cross-sectional observational data from UK Biobank. Participants were aged 40-70 years and attended 21 assessment centres between 2006 and 2010. Using linked data on environments around each participant's residential address, we examined whether density of physical activity facilities and proximity to fast-food outlets were associated with waist circumference, body-mass index (BMI), and body fat percentage. We used multilevel linear regression models adjusted for potential confounders, and conducted several sensitivity analyses. FINDINGS:Complete case sample sizes were 401 917 (waist circumference models), 401 435 (BMI), and 395 640 (body fat percentage). Greater density of physical activity facilities within 1000 m of home was independently associated with smaller waist circumference and lower BMI and body fat percentage. Compared with people with no nearby facilities, those with at least six facilities close to home had 1·22 cm smaller waist circumference (95% CI -1·64 to -0·80), 0·57 kg/m2 lower BMI (-0·74 to -0·39), and 0·81 percentage points lower body fat (-1·03 to -0·59). Living further from a fast-food outlet was weakly associated with waist circumference and BMI, mostly among women. Compared with people living fewer than 500 m from a fast-food outlet, those living at least 2000 m away had 0·26 cm smaller waist circumference (-0·52 to 0·01). INTERPRETATION:This study shows strong associations between high densities of physical activity facilities and lower adiposity for adults in mid-life. We observed weaker associations for access to fast food, but these are likely to be underestimated owing to limitations of the food environment measure. Policy makers should consider interventions aimed at tackling the obesogenic built environment. FUNDING:Commonwealth Scholarship Commission, Wellcome Trust Institutional Strategic Support Fund.
| S-EPMC5764749 | biostudies-literature
Project description:Food businesses, such as food trucks (FTs) and family producers have grown rapidly and become popular with people in Saudi Arabia. As foodborne diseases are still a public health concern in the country, consumers should be aware of the safety of foods sold by food trucks. Since there is a dearth of literature, this study aimed to assess the knowledge and attitudes of consumers of food from FTs owned by family producers regarding food safety and foodborne disease. A cross-sectional study was conducted among 921 consumers of food from FTs from two cities in the southern region of Saudi Arabia. Data were collected using an online questionnaire from September to November 2021. Finally, multiple linear regression and a logistic regression model were used to identify the predictors of knowledge and attitude regarding food safety and foodborne illness, respectively. Overall, respondents had moderate knowledge and higher positive attitudes regarding food safety and foodborne illness. Respondents' knowledge about the potential harm and attitudes towards the safety of foods sold by FTs were significantly associated with marital status, education level, and monthly family income. The findings of this study highlight the need to improve the knowledge, awareness, and attitudes of Saudi consumers of food from FTs owned by family producers on food safety and foodborne illness through intervention programs, particularly targeting consumers with lower educational attainments and income status, to control foodborne diseases.
| S-EPMC8998948 | biostudies-literature