Cancer misinformation on social media.

Social media is widely used globally by patients, families of patients, health professionals, scientists, and other stakeholders who seek and share information related to cancer. Despite many benefits of social media for cancer care and research, there is also a substantial risk of exposure to misinformation, or inaccurate information about cancer. Types of misinformation vary from inaccurate information about cancer risk factors or unproven treatment options to conspiracy theories and public relations articles or advertisements appearing as reliable medical content. Many characteristics of social media networks-such as their extensive use and the relative ease it allows to share information quickly-facilitate the spread of misinformation. Research shows that inaccurate and misleading health-related posts on social media often get more views and engagement (e.g., likes, shares) from users compared with accurate information. Exposure to misinformation can have downstream implications for health-related attitudes and behaviors. However, combatting misinformation is a complex process that requires engagement from media platforms, scientific and health experts, governmental organizations, and the general public. Cancer experts, for example, should actively combat misinformation in real time and should disseminate evidence-based content on social media. Health professionals should give information prescriptions to patients and families and support health literacy. Patients and families should vet the quality of cancer information before acting upon it (e.g., by using publicly available checklists) and seek recommended resources from health care providers and trusted organizations. Future multidisciplinary research is needed to identify optimal ways of building resilience and combating misinformation across social media.

Unhealthy Food and Beverage Marketing to Children in the Digital Age: Global Research and Policy Challenges and Priorities.

Food and nonalcoholic beverage marketing is implicated in poor diet and obesity in children. The rapid growth and proliferation of digital marketing has resulted in dramatic changes to advertising practices and children's exposure. The constantly evolving and data-driven nature of digital food marketing presents substantial challenges for researchers seeking to quantify the impact on children and for policymakers tasked with designing and implementing restrictive policies. We outline the latest evidence on children's experience of the contemporary digital food marketing ecosystem, conceptual frameworks guiding digital food marketing research, the impact of digital food marketing on dietary outcomes, and the methods used to determine impact, and we consider the key research and policy challenges and priorities for the field. Recent methodological and policy developments represent opportunities to apply novel and innovative solutions to address this complex issue, which could drive meaningful improvements in children's dietary health.

Sentiment Analysis of Twitter Posts Related to a COVID-19 Test & Trace Program in NYC.

As part of a program evaluation of the New York City Test & Trace program (T2)-one of the largest such programs in the USA-we conducted a study to assess how implementing organizations (NYC Health + Hospitals, government agencies, CBOs) communicated information about the T2 program on Twitter. Study aims were as follows: (1) quantify user engagement of posts ("tweets") about T2 by NYC organizations on Twitter and (2) examine the emotional tone of social media users' T2-related tweets in our sample of 1987 T2-related tweets. Celebrities and CBOs generated more user engagement (0.26% and 0.07%, respectively) compared to government agencies (e.g., Mayor's Office, 0.0019%), reinforcing the value of collaborating with celebrities and CBOs in social media public health campaigns. Sentiment analysis revealed that positive tweets (46.5%) had higher user engagement than negative tweets (number of likes: R2 = .095, p < .01), underscoring the importance of positively framing messages for effective public health campaigns.

Food industry donations to patient advocacy organisations focussed on non-communicable diseases.

OBJECTIVE: This study used publicly available Form 990 tax documents to quantify food industry donations to patient advocacy organisations (PAO) dedicated to supporting patients with non-communicable diseases. DESIGN: Observational, cross-sectional assessment of significant national and international food industry donations to US-based non-communicable disease-focussed PAO between 2000 and 2018. Researchers recorded and categorised the: (1) frequency and value of donations; (2) reason for donation; (3) name and type of PAO recipient and (4) non-communicable disease focus of the PAO. SETTING: Form 990 tax documents. PARTICIPANTS: Nine food and beverage companies that donated to non-communicable disease-focussed PAO. RESULTS: Adjusting for inflation, nine food and beverage companies collectively donated $10 672 093 (n 2709) to the PAO between 2001 and 2018. The largest category of donations was 'matching gifts' (67·9 %, median amount = $115·16), followed by 'general operations support' (25·8 %, median amount = $107·79). Organisations focussing on cancer received the largest number and amount of donations ($6 265 861, n 1968). Eight of the nine companies made their largest monetary value of donation to PAO focussed on cancer. CONCLUSIONS: Publicly available tax data provide robust information on food industry donation practices. Our findings document the food industry's role in supporting patient advocacy organisations and raise questions regarding conflicts of interest. Increased awareness of food industry donation practices involving PAO may generate pressure for policies mandating transparency or encourage donors and recipients to voluntarily disclose donations. If public disclosure becomes widespread, constituents, advocates, researchers and policymakers can better supervise and address potential conflicts of interest.

Brands with personalities - good for businesses, but bad for public health? A content analysis of how food and beverage brands personify themselves on Twitter.

OBJECTIVE: To examine the extent to which food and beverage brands exhibit personalities on Twitter, quantify Twitter users' engagement with posts displaying personality features and determine advertising spending across these brands on Twitter. DESIGN: We identified 100 tweets from 10 food and beverage brands that displayed a 'personality', and 100 'control' tweets (i.e. a post by that brand on the same day). Our codebook quantified the following personification strategies: (1) humour; (2) trendy language and (3) absence of food product mentions. We used media articles to quantify other personification strategies: (4) referencing trending topics; (5) referencing current events; (6) referencing internet memes and (7) targeting niche audiences. We calculated brands' number of tweets, re-tweets, 'likes', and comments and report the relationship between advertising spending and retweets per follower. SETTING: Twitter posts. PARTICIPANTS: Ten food and beverage brands that were described in media articles (e.g. Forbes) as having distinct personalities. RESULTS: Personality tweets earned 123 013 retweets, 732 076 'likes' and 14 806 comments, whereas control tweets earned 61 044 retweets, 256 105 'likes' and 14 572 comments. The strategies used most included humour (n 81), trendy language (n 80) and trending topics (n 47). The three brands that spent the most on advertising had similar or fewer retweets per follower than the four that spent relatively little on advertising. CONCLUSIONS: Some food and beverage brands have distinct 'personalities' on Twitter that generate millions of 'likes' and retweets. Some retweets have an inverse relationship with advertising spending, suggesting 'personalities' may be a uniquely powerful advertising tool for targeting young adults.

Comparing the Prevalence of Alcohol, Combustible and Electronic Cigarettes, Hookah, and Marijuana, in Music Videos across 6 Genres of Popular Music from 2014-2020.

OBJECTIVES: To determine the frequency of alcohol, marijuana, cigarettes/cigars, e-cigarettes, and hookah portrayals in popular music lyrics and videos on YouTube across 6 genres over 7 years; assess percent change over the years, document brand placement, and determine frequency of promotion of substances/devices by Teen Choice Award celebrities. METHODS: We analyzed 699 songs from the Billboard Hot 100 between 2014 and 2020. Two raters coded 10% of the songs to establish inter-rater reliability and remaining songs were reviewed by one rater. RESULTS: The majority of songs (59.2%) on YouTube included either lyrical or video depictions and 20.6% included both. Songs that featured substances/devices were viewed 148 billion times on YouTube as of February 2021. Nearly 25% of videos depicting substances/devices featured branding. Forty-three (18.22%) of the music celebrities who featured substances/devices in their videos received one or more Teen Choice Awards during the study period. CONCLUSIONS: Popular music celebrities promote substance use in their lyrics and music videos, which are easily accessible to children and adolescents. Some of these celebrities are highly popular and influential among adolescents.Policy Implications. Findings support the need to limit promotion of these substances to youth by influencers to reduce substance use and misuse.

Ubiquity of Sugary Drinks and Processed Food Throughout Food and Non-Food Retail Settings in NYC.

Sugary drinks and processed foods are associated with negative health outcomes in adults, including weight gain, and their consumption should be limited. However, they may be difficult to avoid if they are ubiquitously available in the retail environment. This study aimed to quantify the availability of such products for sale throughout New York City (NYC) at both food and non-food retailers. In 2018, ten one-mile retail-dense NYC street segments were selected for the sample. Data collectors canvassed each segment and visited all retailers, recording the type (food/non-food) and presence of processed food and beverages for sale. Descriptive statistics were analyzed for availability of products sold in retailers overall and by retailer type. In total, 491 retailers were identified (191 food, 300 non-food). Sugary drinks were available at 83% of food retailers and 19% of non-food retailers, while processed foods were available at 61% of food retailers and 16% of non-food retailers. Eighty-five percent of food retailers and 21% of non-food retailers sold sugary drinks and/or processed foods. This study supports and builds on results of previous research examining the availability of food and beverages in the retail environment. Sugary drinks and processed foods are ubiquitous at food and non-food retailers, providing pervasive cues to consume energy-dense, nutrient-poor products. Restrictions on where such products can be sold merit consideration.

Evaluating the influence of racially targeted food and beverage advertisements on Black and White adolescents' perceptions and preferences.

INTRODUCTION: The present study measures how racially-targeted food and beverage ads affect adolescents' attitudes toward ads and brands, purchase intentions for advertised products, and willingness to engage with brands on social media. METHODS: Black and White adolescents were recruited through Survey Sampling International in 2016. Participants completed an online survey in which they were randomized to view either four food and beverage ads (e.g., soda, candy commercials) featuring Black actors or four food and beverage ads featuring White actors. RESULTS: For the two components of the attitudinal outcome, Black participants were more likely to report a positive affective response toward racially-similar ads compared to Whites. However, White participants were more likely to like ads that were racially-dissimilar compared to Black participants. Data were analyzed in 2016-2017, and we used an alpha level of 0.05 to denote statistical significance. CONCLUSIONS: Both Black and White adolescents reported more positive affective responses to ads that featured Blacks compared to ads that featured Whites. Because there were no differences on two outcomes, future research should examine the influence of racially-targeted marketing in real-world contexts (e.g., social media) and longitudinal exposure to targeted advertising on dietary behavior.

Comparing five front-of-pack nutrition labels' influence on consumers' perceptions and purchase intentions.

In 2011, a National Academy of Medicine report recommended that packaged food in the U.S. display a uniform front-of-package nutrition label, using a system such as a 0-3 star ranking. Few studies have directly compared this to other labels to determine which best informs consumers and encourages healthier purchases. In 2013, we randomized adult participants (N=1247) in an Internet-based survey to one of six conditions: no label control; single traffic light; multiple traffic light; Facts Up Front; NuVal; or 0-3 star ranking. We compared groups on purchase intentions and accuracy of participants' interpretation of food labels. There were no differences in the nutritional quality of hypothetical shopping baskets across conditions (p=0.845). All labels improved consumers' abilities to judge the nutritional quality of foods relative to no label, but the best designs varied by outcomes. NuVal and multiple traffic light labels led to the greatest accuracy identifying the healthier of two products (p<0.001), while the multiple traffic light also led to the most accurate estimates of saturated fat, sugar, and sodium (p<0.001). The single traffic light outperformed other labels when participants compared nutrient levels between similar products (p<0.03). Single/multiple traffic light and Facts Up Front labels led to the most accurate calories per serving estimations (p<0.001). Although front-of-package labels helped participants more accurately assess products' nutrition information relative to no label, no conditions shifted adults' purchase intentions. Results did not point to a clearly superior label design, but they suggest that a 3-star label might not be best for educating consumers.

Comparison of online marketing techniques on food and beverage companies' websites in six countries.

Food and beverage marketing contributes to poor dietary choices among adults and children. As consumers spend more time on the Internet, food and beverage companies have increased their online marketing efforts. Studies have shown food companies' online promotions use a variety of marketing techniques to promote mostly energy-dense, nutrient-poor products, but no studies have compared the online marketing techniques and nutritional quality of products promoted on food companies' international websites. For this descriptive study, we developed a qualitative codebook to catalogue the marketing themes used on 18 international corporate websites associated with the world's three largest fast food and beverage companies (i.e. Coca-Cola, McDonald's, Kentucky Fried Chicken). Nutritional quality of foods featured on those websites was evaluated based on quantitative Nutrient Profile Index scores and food category (e.g. fried, fresh). Beverages were sorted into categories based on added sugar content. We report descriptive statistics to compare the marketing techniques and nutritional quality of products featured on the company websites for the food and beverage company websites in two high-income countries (HICs), Germany and the United States, two upper-middle-income countries (UMICs), China and Mexico, and two lower-middle-income countries (LMICs), India and the Philippines. Of the 406 screenshots captured from company websites, 67·8% depicted a food or beverage product. HICs' websites promoted diet food or beverage products/healthier alternatives (e.g. baked chicken sandwich) significantly more often on their pages (25%), compared to LMICs (14·5%). Coca-Cola featured diet products significantly more frequently on HIC websites compared to LMIC websites. Charities were featured more often on webpages in LMICs (15·4%) compared to UMICs (2·6%) and HICs (2·3%). This study demonstrates that companies showcase healthier products in wealthier countries and advertise their philanthropic activities in lower income countries, which is concerning given the negative effect of nutrition transition (double burden of overnutrition and undernutrition) on burden of non-communicable diseases and obesity in lower income countries.

Content analysis of targeted food and beverage advertisements in a Chinese-American neighbourhood.

OBJECTIVES: The current descriptive study aimed to: (i) quantify the number and type of advertisements (ads) located in a Chinese-American neighbourhood in a large, urban city; and (ii) catalogue the targeted marketing themes used in the food/beverage ads. DESIGN: Ten pairs of trained research assistants photographed all outdoor ads in a 0·6 mile2 (1·6 km2) area where more than 60·0 % of residents identify as Chinese American. We used content analysis to assess the marketing themes of ads, including references to: Asian cultures; health; various languages; children; food or beverage type (e.g. sugar-sweetened soda). SETTING: Lower East Side, a neighbourhood located in the borough of Manhattan in New York City, USA. SUBJECTS: Ads (n 1366) in the designated neighbourhood. RESULTS: Food/beverage ads were the largest ad category (29·7 %, n 407), followed by services (e.g. mobile phone services; 21·0 %, n 288). Sixty-seven per cent (66·9 %) of beverages featured were sugar-sweetened, and 50·8 % of food ads promoted fast food. Fifty-five per cent (54·9 %) of food/beverage ads targeted Asian Americans through language, ethnicity of person(s) in the ad or inclusion of culturally relevant images. Fifty per cent (50·2 %) of ads were associated with local/small brands. CONCLUSIONS: Food/beverage marketing practices are known to promote unhealthy food and beverage products. Research shows that increased exposure leads to excessive short-term consumption among consumers and influences children's food preferences and purchase requests. Given the frequency of racially targeted ads for unhealthy products in the current study and increasing rates of obesity-related diseases among Asian Americans, research and policies should address the implications of food and beverage ads on health.

Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.

The objective was to detect geospatial clustering of sugar-sweetened beverage (SSB) intake in Boston adolescents (age = 16.3 ± 1.3 years [range: 13-19]; female = 56.1%; White = 10.4%, Black = 42.6%, Hispanics = 32.4%, and others = 14.6%) using spatial scan statistics. We used data on self-reported SSB intake from the 2008 Boston Youth Survey Geospatial Dataset (n = 1292). Two binary variables were created: consumption of SSB (never versus any) on (1) soda and (2) other sugary drinks (e.g., lemonade). A Bernoulli spatial scan statistic was used to identify geospatial clusters of soda and other sugary drinks in unadjusted models and models adjusted for age, gender, and race/ethnicity. There was no statistically significant clustering of soda consumption in the unadjusted model. In contrast, a cluster of non-soda SSB consumption emerged in the middle of Boston (relative risk = 1.20, p = .005), indicating that adolescents within the cluster had a 20% higher probability of reporting non-soda SSB intake than outside the cluster. The cluster was no longer significant in the adjusted model, suggesting spatial variation in non-soda SSB drink intake correlates with the geographic distribution of students by race/ethnicity, age, and gender.

Online retail nudges to help parents with lower-income choose healthy beverages for their children: A randomized clinical trial.

BACKGROUND: Nudges offer a promising tool to reduce sugary drink intake among children who are most at risk for diet-related disease. OBJECTIVE: To examine the impact of online store nudges on purchases of sugary drinks for children in lower-income households. METHODS: Caregivers with lower-income were recruited to an online shopping experiment and instructed to spend $10-$30 on three beverages for their child aged 1-5 years. Participants were randomized to navigate an online supermarket in its standard version (n = 1106) or a version with nudges (n = 1135), including a product placement nudge (i.e. placing healthy beverages in prominent positions) and a swap nudge (i.e. offering a swap of water, plain milk and/or 100% fruit juice upon selection of sugary drinks). RESULTS: On average, participants purchased 1887 (SD = 2113) and 620 (SD = 1528) calories from sugary drinks per basket in the control and experimental conditions, respectively. Model-based results indicate that those in the experimental condition purchased 1267 (95% CI: 1419, 1114) fewer calories from sugary drinks, and fewer grams of total sugar (ß = -253.5 g (95% CI: -286.3, -220.6)) and added sugar (ß = -287.8 g (95% CI: -323.1, -252.5)) purchased from sugary drinks. CONCLUSION: Nudges may be an effective, acceptable, scalable strategy for leading caregivers in lower-income households to purchase fewer sugary drinks for their children.

Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot.

Importance: The mainstream use of chatbots requires a thorough investigation of their readability and quality of information. Objective: To identify readability and quality differences in information between a free and paywalled chatbot cancer-related responses, and to explore if more precise prompting can mitigate any observed differences. Design, Setting, and Participants: This cross-sectional study compared readability and information quality of a chatbot's free vs paywalled responses with Google Trends' top 5 search queries associated with breast, lung, prostate, colorectal, and skin cancers from January 1, 2021, to January 1, 2023. Data were extracted from the search tracker, and responses were produced by free and paywalled ChatGPT. Data were analyzed from December 20, 2023, to January 15, 2024. Exposures: Free vs paywalled chatbot outputs with and without prompt: "Explain the following at a sixth grade reading level: [nonprompted input]." Main Outcomes and Measures: The primary outcome measured the readability of a chatbot's responses using Flesch Reading Ease scores (0 [graduate reading level] to 100 [easy fifth grade reading level]). Secondary outcomes included assessing consumer health information quality with the validated DISCERN instrument (overall score from 1 [low quality] to 5 [high quality]) for each response. Scores were compared between the 2 chatbot models with and without prompting. Results: This study evaluated 100 chatbot responses. Nonprompted free chatbot responses had lower readability (median [IQR] Flesh Reading ease scores, 52.60 [44.54-61.46]) than nonprompted paywalled chatbot responses (62.48 [54.83-68.40]) (P < .05). However, prompting the free chatbot to reword responses at a sixth grade reading level was associated with increased reading ease scores than the paywalled chatbot nonprompted responses (median [IQR], 71.55 [68.20-78.99]) (P < .001). Prompting was associated with increases in reading ease in both free (median [IQR], 71.55 [68.20-78.99]; P < .001)and paywalled versions (median [IQR], 75.64 [70.53-81.12]; P < .001). There was no significant difference in overall DISCERN scores between the chatbot models, with and without prompting. Conclusions and Relevance: In this cross-sectional study, paying for the chatbot was found to provide easier-to-read responses, but prompting the free version of the chatbot was associated with increased response readability without changing information quality. Educating the public on how to prompt chatbots may help promote equitable access to health information.

The use of sports references in marketing of food and beverage products in supermarkets.

OBJECTIVE: Food marketing has been identified as a significant driver of the childhood obesity epidemic. The purpose of the present study was to (i) conduct a content analysis of the types of sports references that appear on supermarket food and beverage products and (ii) assess each product's nutritional and marketing profile. DESIGN: This was a descriptive study. Every product featuring sports references on the packaging was purchased in two major supermarkets during 2010. A content analysis was conducted and nutritional evaluations were made based on the Nutrient Profile Model, a validated nutrition model. Marketing data were obtained from The Nielsen Company. SETTING: Two major supermarkets in Connecticut, USA. SUBJECTS: Food and beverage products (n 102) were selected from two supermarkets. RESULTS: The 102 products (fifty-three foods and forty-nine beverages) had sports references as part of their packaging: 72·5 % featured a character exercising, 42·2 % were endorsed by a professional sports entity and 34·0 % were child-targeted. The median nutrition score for food products was 36 (1 = unhealthiest and 100 = healthiest; scores of ≥63 are considered healthy according to this model). More than two-thirds of beverages (69·4 %) were 100 % sugar-sweetened. Children saw significantly more commercials for these products than adults. CONCLUSIONS: Companies place sports figures on food and beverage products that are child-targeted and unhealthy.

The science on front-of-package food labels.

OBJECTIVE: The U.S. Food and Drug Administration and Institute of Medicine are currently investigating front-of-package (FOP) food labelling systems to provide science-based guidance to the food industry. The present paper reviews the literature on FOP labelling and supermarket shelf-labelling systems published or under review by February 2011 to inform current investigations and identify areas of future research. DESIGN: A structured search was undertaken of research studies on consumer use, understanding of, preference for, perception of and behaviours relating to FOP/shelf labelling published between January 2004 and February 2011. RESULTS: Twenty-eight studies from a structured search met inclusion criteria. Reviewed studies examined consumer preferences, understanding and use of different labelling systems as well as label impact on purchasing patterns and industry product reformulation. CONCLUSIONS: The findings indicate that the Multiple Traffic Light system has most consistently helped consumers identify healthier products; however, additional research on different labelling systems' abilities to influence consumer behaviour is needed.

Contemporary Approaches for Monitoring Food Marketing to Children to Progress Policy Actions.

PURPOSE OF REVIEW: Protecting children from unhealthful food marketing is a global priority policy for improving population diets. Monitoring the nature and extent of children's exposure to this marketing is critical in policy development and implementation. This review summarises contemporary approaches to monitor the nature and extent of food marketing to support policy reform. RECENT FINDINGS: Monitoring approaches vary depending on the stage of progress of related policy implementation, with resource implications and opportunity costs. Considerations include priority media/settings. marketing techniques assessed, approach to classifying foods, study design and if exposure assessments are based on media content analyses or are estimated or observed based on children's media use. Current evidence is largely limited to high-income countries and focuses on content analyses of TV advertising. Ongoing efforts are needed to support monitoring in low-resource settings and to progress monitoring to better capture children's actual exposures across media and settings.

COVID-19-Related Changes to Drug-Selling Networks and Their Effects on People Who Use Illicit Opioids.

OBJECTIVE: The COVID-19 pandemic has significantly affected people's ability to buy, sell, and obtain items that they use in their daily lives. It may have had a particularly negative effect on the ability of people who use illicit opioids to obtain them because the networks they relied on are illicit and not part of the formal economy. Our objective in this research was to examine if, and how, disruptions related to COVID-19 of illicit opioid markets have affected people who use illicit opioids. METHOD: We collected 300 posts--including replies to posts--related to the intersection of COVID-19 and opioid use from Reddit.com, a forum that has several discussion threads (i.e., subreddits) dedicated to opioids. We then coded posts from the two most popular opioid subreddits during the early pandemic period (March 5, 2020-May 13, 2020) using an inductive/deductive approach. RESULTS: We found two themes related to active opioid use during the early pandemic: (a) changes in drug supply and difficulty obtaining opioids, and (b) buying less-trustworthy drugs from lesser-known sources. CONCLUSIONS: Our findings suggest that COVID-19 has created market conditions that place people who use opioids at risk of adverse outcomes, such as fatal overdose.

Menu Labeling and Calories Purchased in Restaurants in a US National Fast Food Chain.

Importance: Menu labeling has been implemented in restaurants in some US jurisdictions as early as 2008, but the extent to which menu labeling is associated with calories purchased is unclear. Objective: To estimate the association of menu labeling with calories and nutrients purchased and assess geographic variation in results. Design, Setting, and Participants: A cohort study was conducted with a quasi-experimental design using actual transaction data from Taco Bell restaurants from calendar years 2007 to 2014 US restaurants with menu labeling matched to comparison restaurants using synthetic control methods. Data were analyzed from May to October 2023. Exposure: Menu labeling policies in 6 US jurisdictions. Main Outcomes and Measures: The primary outcome was calories per transaction. Secondary outcomes included total and saturated fat, carbohydrates, protein, sugar, fiber, and sodium. Results: The final sample included 2329 restaurants, with menu labeling in 474 (31 468 restaurant-month observations). Most restaurants (94.3%) were located in California. Difference-in-differences model results indicated that customers purchased 24.7 (95% CI, 23.6-25.7) fewer calories per transaction from restaurants in the menu labeling group in the 3- to 24-month follow-up period vs the comparison group, including 21.9 (95% CI, 20.9-22.9) fewer calories in the 3- to 12-month follow-up period and 25.0 (95% CI, 24.0-26.1) fewer calories in the 13- to 24-month follow-up period. Changes in the nutrient content of transactions were consistent with calorie estimates. Findings in California were similar to overall estimates in magnitude and direction; yet, among restaurants outside of California, no association was observed in the 3- to 24-month period. The outcome of menu labeling also differed by item category and time of day, with a larger decrease in the number of tacos vs other items purchased and a larger decrease in calories purchased during breakfast vs other times of the day in the 3- to 24-month period. Conclusions and Relevance: In this quasi-experimental cohort study, fewer calories were purchased in restaurants with calorie labels compared with those with no labels, suggesting that consumers are sensitive to calorie information on menu boards, although associations differed by location.

Obesity and public policy.

There is a pressing need to reduce both the prevalence and impact of obesity. This review begins with a discussion of the roles of treatment and prevention. Two overriding issues, weight bias and the addictive nature of food, are covered because of their importance not only to the individuals affected but also to public policy. We then cover promising policy areas in which changes can be implemented to support healthy behaviors: school policy, food marketing, food labeling and packaging, and taxes on unhealthy foods. The roles of the food industry and federal, state, and local governments are also discussed.