The impact of the federal menu labeling law on the sentiment of Twitter discussions about restaurants and food retailers: An interrupted time series analysis.

The US federal menu labeling law, implemented on May 7 th 2018, required that restaurant chains post calorie counts on menu items. The purpose of this study was to analyze the change in public sentiment, using Twitter data, regarding eight restaurant chains before and after the calorie labeling law's implementation. Twitter data was mined from Twitter's application programming interface (API) for this study from the calendar year 2018; 2016 and was collected as a control. We selected restaurant chains that had a range of compliance dates with the law. Tweets about each chain were filtered by brand-specific keywords, and Valence Aware Dictionary and sEntiment Reasoner (VADER) sentiment analysis was applied to receive a continuous compound score (-1-1) of how positive (1) or negative (-1) each tweet was. Controlled Interrupted Time Series (CITS) was performed with Ordinary Least Squares (OLS) Regression on 2018 and 2016 series of compound scores for each brand, and level and trend changes were calculated. Most restaurant chains that implemented the federal menu calorie labeling law experienced no change or a small change in level or trend in sentiment after they implemented labeling. Chains experienced mildly more negative sentiment right after the law was implemented, with attenuation of this effect over time. Calorie labeling did not have a strong effect on the public's perception of food brands over the long-term on Twitter and may imply the need for greater efforts to change the sentiment towards unhealthy restaurant chains.

Obesity prevention across the US: A review of state-level policies from 2009 to 2019.

Objective: Uniquely, state legislators may enact obesity prevention policies tailored to each state's needs and take diverse policy approaches to address obesity prevalence. The objective of this study was to identify and describe state-level obesity-related policies between 2009 and 2019. Methods: Using a database of legislation covering 2009-2019, researchers categorized obesity-related legislation by status (proposed/enacted), topic, and environment impacted. Researchers determined the number of policies proposed; enacted, by political party control; obesity prevalence, by states over time. Results: 3256 obesity-related policies were proposed among 50 states and Washington DC between 2009 and 2019. Collectively, 18% (593) of policies were enacted; California (96), New and Jersey (57) enacted the most. Across environment and topics, the most enacted policies categorized in school environment (226) and school nutrition (150) topic area. Most policies were proposed (496) and enacted (77) in 2011. On average, Democrat-controlled states had higher enactment rates than Republican-controlled states, as did states with lower (vs. higher) obesity prevalence. Conclusions: States have actively pursued obesity-related legislation across multiple topics and environments from 2009 to 2019, with mixed enactment rates. Evaluating the impact of these policies, alone and in combination, will be important to determine whether these state-level efforts reduce obesity.

Assessment of Calories Purchased After Calorie Labeling of Prepared Foods in a Large Supermarket Chain.

Importance: Calorie labels for prepared (ie, ready-to-eat) foods are required in large chain food establishments in the US. Large evaluations in restaurants suggest small declines in purchases of prepared foods after labeling, but to the authors' knowledge, no studies have examined how this policy influences supermarket purchases. Objective: To estimate changes in calories purchased from prepared foods and potential packaged substitutes compared with control foods after calorie labeling of prepared foods in supermarkets. Design, Setting, and Participants: This controlled interrupted time series compared sales 2 years before labeling implementation (April 2015-April 2017) with sales 7 months after labeling implementation (May 2017-December 2017). Data from 173 supermarkets from a supermarket chain with locations in Maine, Massachusetts, New Hampshire, New York, and Vermont were analyzed from March 2020 to May 2022. Intervention: Implementation of calorie labeling of prepared foods in April 2017. Main Outcomes and Measures: Purchased items were classified as prepared foods, potential packaged substitutes for prepared foods, or all other (ie, control) foods. The primary outcome was mean weekly calories per transaction purchased from prepared foods, and the secondary outcome was mean weekly calories per transaction purchased from similar packaged items (for substitution analyses). Analyses of prepared and packaged foods were stratified by food category (bakery, entrées and sides, or deli meats and cheeses). Results: Among the included 173 supermarkets, calorie labeling was associated with a mean 5.1% decrease (95% CI, -5.8% to -4.4%) in calories per transaction purchased from prepared bakery items and an 11.0% decrease (95% CI, -11.9% to -10.1%) from prepared deli items, adjusted for changes in control foods; no changes were observed for prepared entrées and sides (change = 0.3%; 95% CI, -2.5% to 3.0%). Labeling was also associated with decreased calories per transaction purchased from packaged bakery items (change = -3.9%; 95% CI, -4.3% to -3.6%), packaged entrées and sides (change = -1.2%; 95% CI, -1.4% to -0.9%), and packaged deli items (change = -2.1%; 95% CI, -2.4% to -1.7%). Conclusions and Relevance: In this longitudinal study of supermarkets, calorie labeling of prepared foods was associated with small to moderate decreases in calories purchased from prepared bakery and deli items without evidence of substitution to similar packaged foods.

Changes in Calorie Content of Menu Items at Large Chain Restaurants After Implementation of Calorie Labels.

Importance: Calorie 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. Objective: To examine the calorie content of menu items at large chain restaurants before and after implementation of federally mandated menu calorie labels. Design, Setting, and Participants: This 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. Intervention: Nationwide implementation of menu calorie labeling. Main Outcomes and Measures: Changes 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. Results: Among 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 Relevance: In 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.

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment.

BACKGROUND: Calorie 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 FINDINGS: We 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. CONCLUSIONS: In 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.

Federal calorie labelling compliance at US chain restaurants.

OBJECTIVE: The 2010 Affordable Care Act included a provision requiring chain food establishments to post calories on menus. In 2017, prior to the final implementation of the law, 59 of 90 top-selling chains had fully implemented labelling. This study extends the documentation of compliance to the 200 top-selling chains after the nationwide requirement went into effect in May 2018. METHODS: To determine if restaurants were compliant with the federal menu labelling law, objective information was collected from all 197 of the 200 highest grossing restaurant chains in the United States. The study team obtained information via site visits and internet searches for a convenience sample of restaurants within each of these chains. RESULTS: 94% had implemented menu calorie labelling after the May 2018 deadline. Of the 11 chains not complying, six were full-service restaurants. CONCLUSION: Most chain restaurants have complied with the federal calorie labelling law, suggesting that compliance is attainable for all chains. Given this finding, the Food and Drug Administration should initiate enforcement of labelling for noncompliant chains.

BWHealthy Weight Pilot Study: A randomized controlled trial to improve weight-loss maintenance using deposit contracts in the workplace.

OBJECTIVE: Deposit contracts, where participants "bet" on achieving a goal and get their money back only if successful, have been shown to be effective for short-term weight-loss. This pilot study examined their effect on weight-loss maintenance. METHODS: From 2016 to 2018, we conducted a pilot, 50-week randomized controlled trial among 42 hospital employees (19 intervention and 23 control), in Boston, Massachusetts, who lost ≥10 lb (4.5 kg) in the two years prior to enrollment. Participants were recruited primarily in-person. Both control and intervention participants were asked to attend a weigh in weekly and received weekly email communication. Intervention participants also entered into a deposit contract to maintain baseline weight within ≤2 lb (0.9 kg). We examined weight change from baseline to 50 weeks (primary outcome) and maintenance of baseline weight at 50 weeks (secondary outcome; binary - yes v. no). Participants completed baseline and follow-up surveys and received incentives for completion. RESULTS: At baseline, mean (SD) weight was 83.2 (15.5 kg) among intervention and 80.7 (14.5 kg) among control participants. After 50 weeks, intervention participants had slightly less but non-significant weight gain (adjusted ß -1.12 kg; 95% CI -5.28, 3.05) than control participants; 73.7% of intervention v. 39.1% of control participants met their weight-loss maintenance goal by study end (adjusted OR 4.78; 95% CI 1.01, 22.71). CONCLUSIONS: A deposit contract was not associated with differences in weight but led to more participants meeting their weight-loss maintenance goals; a deposit contract for weight-loss maintenance should be tested in a full-scale intervention. Most intervention participants viewed the deposit contract as acceptable.

Fast food intake and excess weight gain over a 1-year period among preschool-age children.

BACKGROUND: Fast food is cross-sectionally associated with having overweight and obesity in young children. OBJECTIVES: To examine whether fast food intake independently contributes to the development of overweight and obesity among preschool-age children. METHODS: Prospective cohort of 3- to 5-year-old children (n = 541) followed for 1 year. Children's height and weight were objectively measured at baseline and study end. Parents reported their child's fast food intake frequency in the past week from 11 chain fast food restaurants in six online follow-up surveys, completed approximately 8 weeks apart. Poisson regression with robust standard errors modelled the risk of a child increasing in weight status (ie, transitioning from a having a healthy weight to having overweight or from having overweight to having obesity) over the study period in relation to their average weekly fast food intake, adjusted for sociodemographics, child obesogenic behaviours, and parent weight status. RESULTS: At baseline, 18.1% of children had overweight and 9.8% had obesity; 8.1% of children transitioned to a greater weight status over the 1-year period. Mean fast food intake frequency among consumers was 2.1 (SD: 1.4) times per week. The risk of increasing in weight status increased linearly with each additional time fast food was consumed in an average week over the study year (RR: 1.38; 95% CI, 1.13-1.67; P < .01). CONCLUSIONS: Greater fast food intake over 1 year was associated with increasing weight status during that time in this preschool-age cohort.

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.

Influence of child-targeted fast food TV advertising exposure on fast food intake: A longitudinal study of preschool-age children.

INTRODUCTION: Fast food (FF) advertising is a potential risk factor for FF consumption among children, yet the impact of such advertising on children's FF intake has not been assessed in a longitudinal, naturalistic study. Whether parents' FF consumption mitigates advertising effects is also unknown. METHODS: One-year, longitudinal study among 624 preschool-age children, 3-5 years old, and one parent each recruited from New Hampshire, 2014-2015. Parents completed six online surveys every eight weeks and, at each, reported the number of times their children consumed FF in the past week. Each child's advertisement exposure was determined by counting the brand-specific FF advertisements aired within the programs they viewed on children's TV networks during the study. At baseline, parents reported the frequency of their own FF consumption. Data were analyzed in 2017-2018. RESULTS: Three FF brands targeted TV advertising to children during the study: McDonald's, Wendy's and Subway. Few children were exposed to child-targeted advertising for Wendy's or Subway. Results from adjusted Poisson regression models focused on McDonald's showed a differential effect of advertisement exposure on children's McDonald's intake in the past week (any or mean intake) by parental FF consumption (P < 0.01). Specifically, McDonald's intake was consistently high among children whose parents consumed FF more frequently (≥monthly), regardless of children's advertisement exposure. However, advertisement exposure increased the risk of McDonald's intake among children nearly two-fold when parents consumed FF less frequently (

Exposure to Child-Directed TV Advertising and Preschoolers' Intake of Advertised Cereals.

INTRODUCTION: Child-directed TV advertising is believed to influence children's diets, yet prospective studies in naturalistic settings are absent. This study examined if child-directed TV advertisement exposure for ten brands of high-sugar breakfast cereals was associated with children's intake of those brands prospectively. METHODS: Observational study of 624 preschool-age children and their parents conducted in New Hampshire, 2014-2015. Over 1 year, parents completed a baseline and six online follow-up surveys, one every 8 weeks. Children's exposure to high-sugar breakfast cereal TV advertisements was based on the network-specific TV programs children watched in the 7 days prior to each follow-up assessment, and parents reported children's intake of each advertised high-sugar breakfast cereal brand during that same 7-day period. Data were analyzed in 2017-2018. RESULTS: In the fully adjusted Poisson regression model accounting for repeated measures and brand-specific effects, children with high-sugar breakfast cereal advertisement exposure in the past 7 days (i.e., recent exposure; RR=1.34, 95% CI=1.04, 1.72), at any assessment in the past (RR=1.23, 95% CI=1.06, 1.42), or recent and past exposure (RR=1.37, 95% CI=1.15, 1.63) combined had an increased risk of brand-specific high-sugar breakfast cereal intake. Absolute risk difference of children's high-sugar breakfast cereal intake because of high-sugar breakfast cereal TV advertisement exposure varied by brand. CONCLUSIONS: This naturalistic study demonstrates that child-directed high-sugar breakfast cereal TV advertising was prospectively associated with brand-specific high-sugar breakfast cereal intake among preschoolers. Findings indicate that child-directed advertising influences begin earlier and last longer than previously demonstrated, highlighting limitations of current industry guidelines regarding the marketing of high-sugar foods to children under age 6 years.

Compliance in 2017 With Federal Calorie Labeling in 90 Chain Restaurants and 10 Retail Food Outlets Prior to Required Implementation.

OBJECTIVES: To examine early compliance with the delayed federal calorie labeling regulation that requires posting calories on menus and menu boards at retail food chains with 20 or more establishments nationally. METHODS: We explored implementation of calorie labeling at 90 of the largest US chain restaurants and the 10 highest-grossing supermarket chains from May to December 2017. We contacted corporate offices and at least 2 locations for each chain, made site visits when possible, and supplemented these efforts with targeted Internet searches. RESULTS: Overall, 71 (79%) restaurant chains partially or fully implemented labeling, as did 9 (90%) supermarket chains. Fast-food and fast-casual restaurants fully implemented labeling at a modestly higher rate than did full-service restaurants. CONCLUSIONS: Most of the retail food chains we assessed implemented calorie labeling policies in advance of the May 2018 compliance date. Public Health Implications. Although implementation of federal calorie labeling has been delayed repeatedly in the 8 years since the passage of the legislation, retail food chains have demonstrated a high rate of compliance with calorie labeling in advance of the required May 2018 implementation date. Despite reports from some retail food industries that compliance will be difficult, current implementation shows the feasibility of complying.

PCORnet Antibiotics and Childhood Growth Study: Process for Cohort Creation and Cohort Description.

OBJECTIVES: The National Patient-Centered Clinical Research Network (PCORnet) supports observational and clinical research using health care data. The PCORnet Antibiotics and Childhood Growth Study is one of PCORnet's inaugural observational studies. We sought to describe the processes used to integrate and analyze data from children across 35 participating institutions, the cohort characteristics, and prevalence of antibiotic use. METHODS: We included children in the cohort if they had at least one same-day height and weight measured in each of 3 age periods: 1) before 12 months, 2) 12 to 30 months, and 3) after 24 months. We distributed statistical queries that each institution ran on its local version of the PCORnet Common Data Model, with aggregate data returned for analysis. We defined overweight or obesity as age- and sex-specific body mass index ≥85th percentile, obesity ≥95th percentile, and severe obesity ≥120% of the 95th percentile. RESULTS: A total of 681,739 children met the cohort inclusion criteria, and participants were racially/ethnically diverse (24.9% black, 17.5% Hispanic). Before 24 months of age, 55.2% of children received at least one antibiotic prescription; 21.3% received a single antibiotic prescription; 14.3% received 4 or more; and 33.3% received a broad-spectrum antibiotic. Overweight and obesity prevalence was 27.6% at age 4 to <6 years (n = 362,044) and 36.2% at 9 to <11 years (n = 58,344). CONCLUSIONS: The PCORnet Antibiotics and Childhood Growth Study is a large national longitudinal observational study in a diverse population that will examine the relationship between early antibiotic use and subsequent growth patterns in children.

Child-targeted fast-food television advertising exposure is linked with fast-food intake among pre-school children.

OBJECTIVE: To determine whether exposure to child-targeted fast-food (FF) television (TV) advertising is associated with children's FF intake in a non-experimental setting. DESIGN: Cross-sectional survey conducted April-December 2013. Parents reported their pre-school child's TV viewing time, channels watched and past-week FF consumption. Responses were combined with a list of FF commercials (ads) aired on children's TV channels during the same period to calculate children's exposure to child-targeted TV ads for the following chain FF restaurants: McDonald's, Subway and Wendy's (MSW). SETTING: Paediatric and Women, Infants, and Children (WIC) clinics in New Hampshire, USA. SUBJECTS: Parents (n 548) with a child of pre-school age. RESULTS: Children's mean age was 4·4 years; 43·2 % ate MSW in the past week. Among the 40·8 % exposed to MSW ads, 23·3 % had low, 34·2 % moderate and 42·5 % high exposure. McDonald's accounted for over 70 % of children's MSW ad exposure and consumption. Children's MSW consumption was significantly associated with their ad exposure, but not overall TV viewing time. After adjusting for demographics, socio-economic status and other screen time, moderate MSW ad exposure was associated with a 31 % (95 % CI 1·12, 1·53) increase and high MSW ad exposure with a 26 % (95 % CI 1·13, 1·41) increase in the likelihood of consuming MSW in the past week. Further adjustment for parent FF consumption did not change the findings substantially. CONCLUSIONS: Exposure to child-targeted FF TV advertising is positively associated with FF consumption among children of pre-school age, highlighting the vulnerability of young children to persuasive advertising and supporting recommendations to limit child-directed FF marketing.

Child-targeted TV advertising and preschoolers' consumption of high-sugar breakfast cereals.

Breakfast cereals represent the most highly advertised packaged food on child-targeted television, and most ads are for cereals high in sugar. This study examined whether children's TV exposure to child-targeted, high-sugar breakfast cereal (SBC) ads was associated with their consumption of those SBC brands. Parents of 3- to 5-year-old children were recruited from pediatric and Women, Infants, and Children (WIC) clinics in Southern New Hampshire, USA, and completed a cross-sectional survey between April-December 2013. Parents reported their child's consumption of SBC brands; whether their child had watched any of 11 kids' channels in the past week; their child's TV viewing time; and socio-demographics. Children's exposure to child-targeted SBC TV ads was calculated by combining TV channel and viewing time with advertising data for SBC ads aired on kids' TV channels during the same timeframe. Five hundred forty-eight parents completed surveys; 52.7% had an annual household income of $50,000 or less. Children's mean age was 4.4 years, 51.6% were female, and 72.5% were non-Hispanic white. In the past week, 56.9% (N = 312) of children ate SBCs advertised on kids' channels. Overall, 40.6% of children were exposed to child-targeted SBC TV ads in the past week. In fully adjusted analyses, the number of SBC brands children consumed was positively associated with their exposure to child-targeted SBC ads. Children consumed 14% (RR = 1.14, 95% CI: 1.02, 1.27) more SBC brands for every 10 SBC ads seen in the past 7 days. Exposure to child-targeted SBC TV advertising is positively associated with SBC brand consumption among preschool-aged children. These findings support recommendations to limit the marketing of high-sugar foods to young children.

A toy story: Association between young children's knowledge of fast food toy premiums and their fast food consumption.

Fast food restaurants spend millions of dollars annually on child-targeted marketing, a substantial portion of which is allocated to toy premiums for kids' meals. The objectives of this study were to describe fast food toy premiums, and examine whether young children's knowledge of fast food toy premiums was associated with their fast food consumption. Parents of 3- to 5-year old children were recruited from pediatric and WIC clinics in Southern New Hampshire, and completed a cross-sectional survey between April 2013-March 2014. Parents reported whether their children usually knew what toys were being offered at fast food restaurants, and whether children had eaten at any of four restaurants that offer toy premiums with kids' meals (McDonald's, Burger King, Subway, Wendy's) during the 7 days preceding the survey. Seventy-one percent of eligible parents participated (N = 583); 48.4% did not receive any education beyond high school, and 27.1% of children were non-white. Half (49.7%) the children had eaten at one or more of the four fast food restaurants in the past week; one-third (33.9%) had eaten at McDonald's. The four restaurants released 49 unique toy premiums during the survey period; McDonald's released half of these. Even after controlling for parent fast food consumption and sociodemographics, children were 1.38 (95% CI = 1.04, 1.82) times more likely to have consumed McDonald's if they usually knew what toys were offered by fast food restaurants. We did not detect a relationship between children's toy knowledge and their intake of fast food from the other restaurants. In this community-based sample, young children's knowledge of fast food toys was associated with a greater frequency of eating at McDonald's, providing evidence in support of regulating child-directed marketing of unhealthy foods using toys.