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.

Associations between State-Level Obesity Rates, Engagement with Food Brands on Social Media, and Hashtag Usage.

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.