Faculty Bibliography

Objective/UNASSIGNED:To describe the variability in the availability and price of sugary drinks, low-calorie drinks, and water/seltzer across high- and low-poverty census tracts in the five boroughs of New York City (NYC). Design/UNASSIGNED:Cross-sectional study. Our primary analysis compared the overall sample of beverages. Secondary analyses included tests for differences in the availability of beverage categories by neighborhood poverty level. Setting/UNASSIGNED:We collected data from 106 stores (31 supermarkets, 29 convenience stores, 29 pharmacies, 9 Targets, and 8 Dollar Trees) in NYC. Fifty-four stores were located in high-poverty census tracts and 52 were located in low-poverty census tracts. Results/UNASSIGNED:=0.01). Conclusions/UNASSIGNED:Sugary drinks were available in most food retail settings in NYC, with little variation by census tract poverty level. Interventions that raise the price of sugary drinks to make healthier alternatives, such as water, the more affordable option should be considered.

Food advertisement exposure is associated with increased caloric intake, but little is known about food/beverage placements in the digital media environment. We aimed to examine the correlation between the number of people who follow food and beverage brand social media accounts (i.e., user engagement) and state-level obesity rates; quantify social media followers' use of "healthy" vs. "unhealthy" hashtags; and analyze the relationship between user engagement and hashtag usage. We identified the 26 fast-food and beverage brands with the highest advertising expenditures and used Demographics Pro to determine the characteristics of social media users amongst the 26 brands. A series of regression analyses were conducted that related the mean percentage of brand followers and state-level obesity rates. We then identified 733 hashtags on Instagram and 703 hashtags on Twitter, coding them as "healthy", "unhealthy", "neutral", or "unrelated to health". Intercoder reliability was established using ReCal2, which indicated a 90% agreement between coders. Finally, we conducted ANCOVA to examine the relationship between the mean percentage of brand followers and their hashtag usage. There was a significant, positive correlation between the state-level obesity rate and the mean percentage of followers of sugary drink or fast-food brands on Instagram and Twitter, but such a correlation between obesity and low-calorie drink brand followers was only found on Twitter. Our findings illustrate the relationship between the social media food environment and obesity rates in the United States. Given the high rates of engagement with food brands on social media, policies should limit digital advertisements featuring fast-food, sugary drink, and low-calorie drink brands.

Food and beverage marketing is a major driver of childhood obesity, and companies target their least nutritious products to Black youth. However, little is known about adolescents' perceptions of and responses to racially targeted food marketing. In this qualitative study, we investigated how Black and White adolescents perceived and responded to racially targeted television commercials for food and beverages. We recruited 39 adolescents aged 12-17 years in New York City to watch a series of commercials and then participate in an in-depth interview using a semi-structured interview guide. The research team recorded, transcribed, and analyzed interviews using ATLAS.ti. Overall, participants responded positively to commercials that featured celebrities. They were also able to recognize the commercials and reported they had been exposed to marketing from these companies on social media and in subways/buses. Many participants considered the advertised brands as healthy or able to enhance athletic performance because of their endorsement by or association with athletes. Participants also understood that marketers were using racial targeting in their ads but that targeting did not translate into improved perceptions or responses towards advertised products. These findings suggest the need to empirically evaluate and further explore Black and White adolescents' responses to racially targeted food marketing.

BACKGROUND:Worldwide obesity rates have prompted 16 countries to enact policies to reduce children's exposure to unhealthy food marketing, but few policies address online advertising practices or protect adolescents from being targeted. Given adolescents spend so much time online, it is critical to understand how persuasive Instagram food advertisements (ads) are compared with traditional food ads. To strengthen online food marketing policies, more evidence is needed on whether social media ads are more persuasive than other types of ads in shaping adolescents' preferences. OBJECTIVE:This study examined whether adolescents could identify food companies' Instagram posts as ads, and the extent to which Instagram versus traditional food ads shape adolescents' preferences. METHODS:In Part 1, participants aged 13-17 years (N=832) viewed 8 pairs of ads and were asked to identify which ads originated from Instagram. One ad in each pair was selected from traditional sources (eg, print; online banner ad), and the other ad was selected from Instagram, but we removed the Instagram frame-which includes the logo, comments, and "likes." In Part 2, participants were randomized to rate food ads that ostensibly originated from (1) Instagram (ie, we photoshopped the Instagram frame onto ads); or (2) traditional sources. Unbeknownst to participants, half of the ads in their condition originated from Instagram and half originated from traditional sources. RESULTS:In Part 1, adolescents performed worse than chance when asked to identify Instagram ads (P<.001). In Part 2, there were no differences on 4 of 5 outcomes in the "labeled ad condition." In the "unlabeled ad condition," however, they preferred Instagram ads to traditional ads on 3 of 5 outcomes (ie, trendiness, P=.001; artistic appeal, P=.001; likeability, P=.001). CONCLUSIONS:Adolescents incorrectly identified traditional ads as Instagram posts, suggesting the artistic appearance of social media ads may not be perceived as marketing. Further, the mere presence of Instagram features caused adolescents to rate food ads more positively than ads without Instagram features.

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 quantify advertising spending across these brands on Twitter. DESIGN/METHODS:We identified 100 tweets from 10 food and beverage brands that displayed "personality," and 100 "control" tweets (i.e., a post by that brand on the same day). Our codebook quantified the following personification strategies: 1) humor; 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 the brands' number of tweets, re-tweets, "likes," and comments and report the relationship between advertising spending and retweets per follower. SETTING/METHODS:Twitter posts. PARTICIPANTS/METHODS:10 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: humor (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.

BACKGROUND:Big events (i.e., unique historical disruptions) like the COVID-19 epidemic and its associated period of social distancing can transform social structures, social interactions, and social norms. Social distancing rules and the fear of infection have greatly reduced face-to-face interactions, increased loneliness, reduced ties to helping institutions, and may also have disrupted the opioid use behaviors of people who use drugs. This research used Reddit to examine the impact of COVID-19 on the social networks and social processes of people who use opioids. METHODS:Data were collected from the social media forum, Reddit.com. At the beginning of the COVID-19 pandemic in the U.S. (March 5, 2020, to May 13, 2020), 2,000 Reddit posts were collected from the two most popular opioid subreddits (r/OpiatesRecovery, r/Opiates). Posts were reviewed for relevance to COVID-19 and opioid use resulting in a final sample of 300. Thematic analysis was guided by the Big Events framework. RESULTS:The COVID-19 pandemic was found to create changes in the social networks and daily lives among persons who use opioids. Adaptions to these changes shifted social networks leading to robust social support and mutual aid on Reddit, including sharing and seeking advice on facing withdrawal, dealing with isolation, managing cravings, and accessing recovery resources. CONCLUSIONS:Reddit provided an important source of social support and mutual aid for persons who use opioids. Findings indicate online social support networks are beneficial to persons who use opioids, particularly during big events where isolation from other social support resources may occur.

BACKGROUND:The COVID-19 pandemic poses significant challenges to people with opioid use disorder (OUD). As localities enforce lockdowns and pass emergency OUD treatment regulations, questions arise about how these changes will affect access and retention in care. In this study, we explore the influence of COVID-19 on access to, experiences with, and motivations for OUD treatment through a qualitative analysis of public discussion forums on Reddit. METHODS:We collected data from Reddit, a free and international online platform dedicated to public discussions and user-generated content. We extracted 1000 of the most recent posts uploaded between March 5th and May 13th, 2020 from each of the two most popular opioid subreddits "r/Opiates" and "r/OpiatesRecovery" (total 2000). We reviewed posts for relevance to COVID-19 and opioid use and coded content using a hybrid inductive-deductive approach. Thematic analysis identified common themes related to study questions of interest. RESULTS:Of 2000 posts reviewed, 300 (15%) discussed topics related to the intersection of opioid use and COVID-19. Five major themes related to OUD treatment were identified: Concern about closure of OUD treatment services; transition to telehealth and virtual care; methadone treatment requirements and increased exposure to COVID-19; reactions to changing regulations on medications for OUD; and influences of the pandemic on treatment motivation and progress. CONCLUSION/CONCLUSIONS:In the face of unprecedented challenges due to COVID-19, reactions of Reddit opioid forum users ranged from increased distress in accessing and sustaining treatment, to encouragement surrounding new modes of treatment and opportunities to engage in care. New and less restrictive avenues for treatment were welcomed by many, but questions remain about how new norms and policy changes will be sustained beyond this pandemic and impact OUD treatment access and outcomes long-term.

BACKGROUND:Interdisciplinary research teams can increase productivity among academic researchers, yet many junior investigators do not have the training or financial resources to build productive teams. We developed and tested the acceptability and feasibility of three low-cost services to help junior faculty build and maintain their own research teams. METHODS:At an urban academic medical centre, we implemented three types of consultation services: 1) giving talks on evidence-based best practices for building teams; 2) providing easy-to-use team building resources via email; and 3) offering a year-long consultation service-co-led by students-that taught faculty to build and maintain research teams. Our primary outcome was the number of faculty who used each service. For the yearlong consultation service, we asked faculty participants to complete three online self-assessments to rate their leadership confidence, the team's performance, and which of the consultation components were most helpful. We used descriptive statistics to evaluate faculty assessment scores at three timepoints by comparing median scores and interquartile ranges. RESULTS:We gave 31 talks on team building to 328 faculty and postdoctoral fellows from 2014 to 2020. Separately, 26 faculty heard about our research team building expertise and requested materials via email. For the consultation service, we helped build or enhance 45 research teams from 2014 to 2020. By the end of the consultation, 100% of the faculty reported they were still maintaining their team. In the initial survey, the majority of participants (95.7%, n = 22) reported having no or few experiences in building teams. Further, when asked to rate their team's performance at 12-months, faculty highly rated many elements of both teamwork and taskwork, specifically their team's productivity (6/7 points), morale (6/7 points), and motivation (6/7 points). By the end of the program, faculty participants also highly rated two components of the consultation program: recruitment assistance (7/10 points) and provision of team management tools (7/10 points). CONCLUSIONS:For participating faculty, our program provided valued guidance on recruitment assistance and team management tools. The high demand for team-building resources suggests that junior faculty urgently need better training on how to develop and manage their own team.

This study measured the total quantity and composition of waste generated in a large, New York City (NYC) hospital kitchen over a one-day period to assess the impact of potential waste diversion strategies in potential weight of waste diverted from landfill and reduction in greenhouse gas (GHG) emissions. During the one-day audit, the hospital kitchen generated 1515.15 kg (1.7 US tons) of solid waste daily or 0.23 kg of total waste per meal served. Extrapolating to all meals served in 2019, the hospital kitchen generates over 442,067 kg (487 US tons) of waste and emits approximately 294,466 kg of CO2e annually from waste disposal. Most of this waste (85%, 376,247 kg or 415 US tons annually) is currently sent to landfill. With feasible changes, including increased recycling and moderate composting, this hospital could reduce landfilled waste by 205,245 kg (226 US tons, or 55% reduction) and reduce GHG emissions by 189,025 kg CO2e (64% reduction). Given NYC's ambitious waste and GHG emission reduction targets outlined in its OneNYC strategic plan, studies analyzing composition, emissions, and waste diversion potential of large institutions can be valuable in achieving city sustainability goals.