Alcohol to-go sales policies at on-premise drinking establishments near large public US universities during the COVID-19 pandemic.

AIMS: Sweeping policy changes during the COVID-19 pandemic increased alcohol availability through permitted to-go sales, potentially posing unique risks to college students. While to-go sales may make binge drinking more convenient, little remains known about these practices. Therefore, this study aimed to assess whether drinking establishments' to-go sales practices are associated with their other operational practices and state policy. METHOD: This cross-sectional analysis included 221 randomly selected bars, nightclubs, and restaurants within two miles of a large public university. Telephone interviews assessed establishment practices, and the Alcohol Policy Information System provided state alcohol to-go laws. Regression models tested whether establishment to-go sales practices were associated with their business practices (logistic regression) and state policy (generalized estimating equations). RESULTS: Nearly one-half (44.8%) of drinking establishments sold alcohol to-go. Establishments with higher vodka prices had nearly 30% higher odds of selling spirits to-go (aOR = 1.29) and establishments offering happy hours specials had more than twice the odds of selling beer (aOR = 2.22), wine (aOR = 2.53), and spirits to-go (aOR = 2.60). Additionally, establishments that implemented physical distance requirements had higher odds of selling wine to-go (aOR = 3.00). State to-go laws were associated with higher odds of selling wine (aOR = 3.99) and spirits to-go (aOR = 5.43) in the full sample and beer to-go (aOR = 4.92) in urban counties. CONCLUSIONS: Establishments that sell alcohol to-go tend to engage in other practices designed to drive sales. Evaluations of alcohol to-go sales laws on risky consumption among priority populations, including college students, are urgently needed to inform decisions about how to appropriately regulate sales.

Characterizing Twitter chatter about temporary alcohol abstinence during "Dry January".

With roots as a public health campaign in the United Kingdom, "Dry January" is a temporary alcohol abstinence initiative encouraging participants to abstain from alcohol use during the month of January. Dry January has become a cultural phenomenon, gaining increasing news media attention and social media engagement. Given the utility of capturing naturalistic discussions around health topics on social media, we examined Twitter chatter about Dry January and associated temporary abstinence experiences. Public tweets were collected containing the search terms "dry january" or "dryjanuary" posted between 15 December and 15 February across 3 years (2020-2). A random subsample stratified by year (n = 3145) was pulled for manual content analysis by trained coders. Final codebook accounted for user sentiment toward Dry January, user account type, and themes related to Dry January participation. Engagement metadata (e.g. likes) were also collected. Though user sentiment was mixed, most tweets expressed positive or neutral sentiment toward Dry January (74.7%). Common themes included encouragement and support for Dry January participation (14.1%), experimentation with and promotion of nonalcoholic drinks (14.0%), and benefits derived from Dry January participation (10.4%). While there is promise in the movement to promote positive alcohol-related behavior change, increased efforts to deliver the campaign within a public health context are needed. Health communication campaigns designed to inform participants about evidence-based treatment and recovery support services proven to help people quit or cut down on their drinking are likely to maximize benefits.

The Alcohol and Polysubstance Behaviors of Mandated College Students Prior to Collegiate Sporting Events: An Assessment of Pregaming.

Background: Despite a litany of education and prevention efforts seeking to curtail alcohol and other drug (AOD) use behaviors of United States (U.S.) college students, AOD use remains pervasive among the American college student population. Socio-cultural reinforcement of AOD behaviors, such as pregaming (PG), are often considered normative aspects of the collegiate experience, potentially introducing, and/or exacerbating, AOD use among U.S. college students. Objective: Due to the unique relationship PG has with the U.S. college experience and sports culture, this study explored the relationship between PG prior to a live sporting event and frequency of alcohol use, and the likelihood of persons who pregame also engaging in polysubstance use (>1 substance during drinking/use event). Methods: This study was conducted with college students (n = 816) attending a large public university in the Southeastern Conference (SEC) who violated campus alcohol use policies. Results: Beyond the influence of important demographic covariates, PG (p < .001) was significantly associated with a greater frequency of alcohol use. Moreover, students who participated in PG festivities were nearly 2.5 times more likely to participate in polysubstance use. Discussion: PG prior to live collegiate sporting events has clear public health and policy implications. Future efforts should institute and enforce risk-management policies on college campuses and employ event-specific alcohol and polysubstance use prevention and intervention strategies.

Midwives' knowledge and perceived barriers to screening alcohol use among pregnant women in a southwestern US state.

INTRODUCTION: Alcohol consumption during pregnancy can produce multiple damaging outcomes to the foetus, commonly referred to as fetal alcohol spectrum disorders (FASD). FASD represents the leading non-genetic cause of preventable birth defects in the United States where alcohol guidelines recommend pregnant woman abstain from alcohol use. This study examined: (i) midwives' knowledge, attitude and intent to screen for prenatal alcohol use; and (ii) assessed perceived barriers to communicating alcohol-related information. METHODS: Using an online questionnaire, data were obtained from midwives (n = 61) in a southwestern US state between March and May 2018. Descriptive statistics were used to describe midwives' knowledge, attitude, intent and perceived barriers. RESULTS: Several midwives considered one alcoholic beverage per occasion to be safe for the foetus (20.3%), some thought alcohol was safe during the 3rd trimester (14.8%) only and few thought it was safe in all trimesters. Many midwives (63.3%) were unaware that the TWEAK and T-ACE were validated alcohol screening tools for pregnant women. Furthermore, most midwives (>50%) agreed that limited time with patients, a need for additional training and lack of information on referral resources interfered with their sharing of alcohol abstinence guidelines. Midwives reported highly favourable attitudes and intentions toward sharing alcohol abstinence messages with their pregnant patients. DISCUSSION AND CONCLUSIONS: More in-depth research and larger samples are needed to explore barriers (knowledge gaps, limited time with patients, need for additional training) that hinder midwives' dissemination of abstinence messages to pregnant women and limit the uptake of validated alcohol screening tools.

Strategies for measuring peer alcohol use within egocentric network analysis.

OBJECTIVE: Compare different strategies for measuring perceived peer alcohol use within network research. PARTICIPANTS: College students (N = 309). METHODS: Collected demographic, personal alcohol use, and egocentric network data. Hierarchical linear regression analyses predicted egos' drinking behavior (AUDIT-C scores). RESULTS: Egos' perceptions of nominated peers' binge-drinking frequency explained a significant portion of variance in egos' AUDIT-C scores, over and above perceptions of nominated peers' frequency/typical quantity of alcohol consumption and important demographic covariates. Using more than three items to assess perceived peer alcohol use did not offer statistically significant improvements and may add unnecessary response burden. CONCLUSIONS: Utilizing the three-item approach (i.e., frequency, quantity, binge-drinking frequency) to assess perceived peer drinking explained more variance in egos' AUDIT-C scores, as opposed to one- and two-item assessments. Implementing this three-item assessment in egocentric network research can enhance programming efforts targeting reductions in binge drinking among college students within social contexts.

Alcohol Use Disorder Narratives in U.S. Digital News Coverage and Engagement on Social Media.

Social media regularly serves as a source of news and health-related information subsequently shaping public opinion and behavior. We examined mainstream digital news narratives about alcohol use disorder (AUD), including coverage of solutions to AUD, and associations between narratives and engagement on social media. AUD-related articles (N = 339) published in top U.S. newspapers and digital native news sources in 2019 were analyzed by trained coders with a structured codebook (κ = 0.75), examining characteristics of stories highlighting specific individuals affected by AUD and solution-framing of AUD. Facebook shares were used as a proxy measure for an article's potential "reach" on social media. Of articles focused on individuals (72.0%), most (62.7%) depicted individuals affected by AUD as criminals, as opposed to engaging with alcohol treatment or being in recovery (31.1%). These criminal depictions received over eight times as many FB shares, compared to alcohol use treatment or recovery depictions. Law enforcement solutions (63.9%) were depicted most often, followed by AUD-treatment oriented solutions (40.1%), and prevention-oriented solutions (15.8%). Law enforcement solutions received more than five times as much social media engagement than AUD-treatment oriented solutions and over twenty-nine times more engagement than prevention-oriented solutions. There is a need to increase news coverage featuring depictions of individuals who have successfully engaged with alcohol treatment and recovery, reflecting the millions of Americans who have resolved a significant past alcohol problem. News coverage of AUD should also incorporate more depictions of evidence-based prevention-oriented and treatment-oriented solutions to AUD.

Stealth vaping and associated attitudes, perceptions, and control beliefs among US college students across four tobacco-free campuses.

OBJECTIVES: Stealth vaping gained popularity among college students in recent years. It may undermine the benefits introduced by tobacco-free policies. Yet, no studies have investigated attitude and belief factors associated with stealth vaping. The objective of the study was to explore the relationship between attitudes toward on-campus tobacco regulations, normative perceptions of stealth vaping behaviors, and control beliefs with on-campus stealth vaping among U.S. college students. METHODS: Participants from four large, public universities with policies prohibiting use of all forms of tobacco (including e-cigarettes) on campus (N = 863) completed an online survey in Fall 2020. On-campus stealth vaping behavior was captured by past 30-day stealth vaping status and frequency. Hurdle models with logistic and negative binomial regressions were conducted, where stealth vaping status was treated as a binary variable based on the non-zero and zero frequency, and stealth vaping frequency was treated as a count variable. Multiple imputation by chained equations was employed to handle the missing data. RESULTS: Participants with more positive attitudes toward regulating on-campus tobacco use were less likely to practice stealth vaping on campus (OR = 1.16, p < 0.01 [predicting zero]). Those with higher perceptions of stealth vaping among other students were more likely to stealth vape more frequently (IRR = 1.03, p < 0.01). CONCLUSION: Our results highlight the need for interventions to address students' attitudes and normative beliefs about stealth vaping. Efforts are needed to educate college students about the risk of e-cigarettes and to enhance enforcement of campus tobacco-free policies.

Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study.

BACKGROUND: Dry January, a temporary alcohol abstinence campaign, encourages individuals to reflect on their relationship with alcohol by temporarily abstaining from consumption during the month of January. Though Dry January has become a global phenomenon, there has been limited investigation into Dry January participants' experiences. One means through which to gain insights into individuals' Dry January-related experiences is by leveraging large-scale social media data (eg, Twitter chatter) to explore and characterize public discourse concerning Dry January. OBJECTIVE: We sought to answer the following questions: (1) What themes are present within a corpus of tweets about Dry January, and is there consistency in the language used to discuss Dry January across multiple years of tweets (2020-2022)? (2) Do unique themes or patterns emerge in Dry January 2021 tweets after the onset of the COVID-19 pandemic? and (3) What is the association with tweet composition (ie, sentiment and human-authored vs bot-authored) and engagement with Dry January tweets? METHODS: We applied natural language processing techniques to a large sample of tweets (n=222,917) containing the term "dry january" or "dryjanuary" posted from December 15 to February 15 across three separate years of participation (2020-2022). Term frequency inverse document frequency, k-means clustering, and principal component analysis were used for data visualization to identify the optimal number of clusters per year. Once data were visualized, we ran interpretation models to afford within-year (or within-cluster) comparisons. Latent Dirichlet allocation topic modeling was used to examine content within each cluster per given year. Valence Aware Dictionary and Sentiment Reasoner sentiment analysis was used to examine affect per cluster per year. The Botometer automated account check was used to determine average bot score per cluster per year. Last, to assess user engagement with Dry January content, we took the average number of likes and retweets per cluster and ran correlations with other outcome variables of interest. RESULTS: We observed several similar topics per year (eg, Dry January resources, Dry January health benefits, updates related to Dry January progress), suggesting relative consistency in Dry January content over time. Although there was overlap in themes across multiple years of tweets, unique themes related to individuals' experiences with alcohol during the midst of the COVID-19 global pandemic were detected in the corpus of tweets from 2021. Also, tweet composition was associated with engagement, including number of likes, retweets, and quote-tweets per post. Bot-dominant clusters had fewer likes, retweets, or quote tweets compared with human-authored clusters. CONCLUSIONS: The findings underscore the utility for using large-scale social media, such as discussions on Twitter, to study drinking reduction attempts and to monitor the ongoing dynamic needs of persons contemplating, preparing for, or actively pursuing attempts to quit or cut down on their drinking.

College students mandated to substance use courses: Age-of-onset as a predictor of contemporary polysubstance use.

Objective: College campuses report alcohol and other drug policy violations as the most frequent reason students receive disciplinary referrals and, thus, are mandated to programming. This study sought to determine predictors of mandated students' alcohol use frequency, and the likelihood of early-onset alcohol using college students enrolled in mandated programming engaging in current polysubstance use. Methods and participants: Employing a purposive sampling method, n = 822 participants were recruited from a pool of students who violated their university's alcohol policy between October 2019 and July 2021. Results: Data analysis revealed early-onset alcohol use (p < .001), gender ID (p < .01), Greek Affiliation (p < .001), ethnicity (p < .05), and perceived norms (p < .001) significantly predicted alcohol frequency. Analysis also revealed engaging in early-onset alcohol use significantly predicted current participation in polysubstance use (p < 0.01), outside of controls. Conclusions: University programs should consider exploring polysubstance use targeted interventions to mitigate these harmful behaviors and associated negative consequences.

Associations Between Sexual Assault Victimization and Risky Drinking Within College Women's Personal Networks.

Within a sample of college women, this study assessed if an individual's (i.e., ego) history of sexual assault was related to her connecting with risky drinkers, and if her social contacts (i.e., alters) who had experienced sexual assault were also people who engaged in risky drinking. Results suggest ego's history of sexual assault was associated with her connecting to risky drinkers. Generally, egos reported alters who experienced sexual assault were more likely to drink in higher quantities, except when the ego and alter both had experienced sexual assault. Findings highlight the importance of social connections for survivors of sexual assault.

Associations between heavy drinker's alcohol-related social media exposures and personal beliefs and attitudes regarding alcohol treatment.

Objective: Social media use among American adults is ubiquitous. Alcohol-related social media posts often glamorize heavy drinking, with increased exposure to such content associated with greater alcohol use. Comparatively less is known, however, about how social media promotes alcohol-related health behavior change. Greater scientific knowledge in this area may enhance our understanding of the relationship between social media and alcohol behaviors, helping to inform clinical and public health recommendations. We examined the relationship between exposure to peer alcohol-related social media posts (pro-drinking, negative consequences, and pro-treatment/recovery) and treatment-seeking intentions among heavy drinkers, as well as potential mediators of the relationship (e.g., attitudes toward treatment effectiveness). Method: Hazardous drinking adults (aged 18-55 years) who use social media (N = 499) completed an online questionnaire. Linear regression analysis examined the association between alcohol-related social media exposures and treatment-seeking intentions. Mediation was tested using structural equation modelling. Results: Exposure to peer pro-drinking posts was negatively associated with intentions to seek treatment (ß = -0.67, p < 0.01), whereas exposures to peer alcohol-related negative consequences posts and peer posts about positive experiences with treatment/recovery were positively associated with treatment-seeking intentions (ß = 0.69, p < 0.01; ß = 1.23, p < 0.001, respectively). Mediation analysis concluded the effect of exposures on intentions was explained partially by attitudes toward treatment effectiveness (25.5%) and alcohol treatment stigma (6.1%). Conclusions: Findings suggest peers' alcohol-related social media posts may both promote and hinder health behavior change depending on the nature of the post. Future research that develops and tests social media-delivered interventions to promote treatment and recovery seeking is warranted.

Actual and perceived E-cigarettes behaviors among a national sample of U.S. college students.

Objective: Electronic cigarette use represents an important college health concern. This investigation assessed demographic and behavioral correlates associated with actual and perceived e-cigarette use among a national sample of American college students. Methods: Respondents (n = 19,861) comprised college students from over 40 distinct American higher education institutions. Multivariable logistic regression assessed whether (1) alcohol, tobacco or marijuana use were associated with e-cigarette use; (2) perceived peer use of alcohol, tobacco or marijuana were associated with perceived e-cigarette use. Results: Approximately 5% of survey respondents self-reported using e-cigarettes within the past month. More than 7 out of every 10 respondents, however, thought the 'typical student' was an e-cigarette user. As perceptions of typical student substance use increased, respondents were far more likely to contend the typical student used e-cigarettes. Discussion: In addition to adopting smoke-free campus policies, university officials should disseminate accurate information regarding e-cigarette behaviors of students.

Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: "Can Someone Tell Me Why Nicotine is So Fire When You're Drunk?"

INTRODUCTION: Alcohol and tobacco are commonly used together. Social influences within online social networking platforms contribute to youth and young adult substance use behaviors. This study used a sample of alcohol- and tobacco-related tweets to evaluate: (1) sentiment toward co-use of alcohol and tobacco, (2) increased susceptibility to tobacco use when consuming alcohol, and (3) the role of alcohol in contributing to a failed attempt to quit tobacco use. METHODS: Data were collected from the Twitter API from January 1, 2019 through December 31, 2019 using tobacco-related keywords (e.g., vape, ecig, smoking, juul*) and alcohol-related filters (e.g., drunk, blackout*). A total of 78,235 tweets were collected, from which a random subsample (n = 1,564) was drawn for coding. Cohen's Kappa values ranged from 0.66 to 0.99. RESULTS: Most tweets were pro co-use of alcohol and tobacco (75%). One of every ten tweets reported increased susceptibility to tobacco use when intoxicated. Non-regular tobacco users reported cravings for and tobacco use when consuming alcohol despite disliking tobacco use factors such as the taste, smell, and/or negative health effects. Regular tobacco users reported using markedly higher quantities of tobacco when intoxicated. Individuals discussed the role of alcohol undermining tobacco cessation attempts less often (2.0%), though some who had quit smoking for prolonged periods of time reported reinitiating tobacco use during acute intoxication episodes. CONCLUSIONS: Tobacco cessation interventions may benefit from including alcohol-focused components designed to educate participants about the association between increased susceptibility to tobacco use when consuming alcohol and the role of alcohol in undermining tobacco cessation attempts. IMPLICATIONS: Sentiment toward co-use of alcohol and tobacco on Twitter is largely positive. Individuals reported regret about using tobacco, or using more than intended, when intoxicated. Those who had quit smoking or vaping for prolonged periods of time reported reinitiating tobacco use when consuming alcohol. While social media-based tobacco cessation interventions like the Truth Initiative's "Ditch the Juul" campaign demonstrate potential to change tobacco use behaviors, these campaigns may benefit from including alcohol-focused components designed to educate participants about the association between increased susceptibility to tobacco use when consuming alcohol and the role of alcohol in undermining tobacco cessation attempts.

Stealth Vaping Among College Students on Four Geographically Distinct Tobacco-Free College Campuses: Prevalence and Practices.

INTRODUCTION: To offset tobacco use among college students, many universities have implemented tobacco-free campus policies. Given how easily e-cigarette users can discreetly vape in places where it is prohibited without being detected (ie, stealth vape), it is important to assess whether students are subverting these policies. This study examined the prevalence of stealth vaping on-campus among students at multiple universities, including frequency and methods for stealth vaping. AIMS AND METHODS: A convenience sample of college students was obtained from four geographically distinct, large, public universities with established policies prohibiting all forms of tobacco use on campus. Participants (N = 863 current e-cigarette users) reported on demographics and e-cigarette use. Those who previously stealth vaped on-campus (n = 422) completed additional questions, including common locations, techniques, and devices/e-liquids used for stealth vaping. RESULTS: Nearly half (48.9%) of past 30-day e-cigarette users reported previously stealth vaping on-campus. Among stealth vapers, 48.1% owned a smaller device for stealth vaping and 38.9% used e-liquids with low visibility vapors. Common on-campus stealth vaping locations included bathrooms, libraries, parking garages, and classrooms. Techniques used for stealth vaping included deep inhale, blowing a hit into one's clothes, and swallowing a hit. CONCLUSIONS: A large percentage of respondents commonly violated campus tobacco-free policies by stealth vaping. For such policies to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications. IMPLICATIONS: This sample of college student e-cigarette users commonly violated campus smoke- and tobacco-free policies by stealth vaping on campus. Respondents used a range of methods (eg, smaller device and low visibility e-liquids) and locations (eg, bathrooms, libraries, and parking garages) for stealth vaping. If campus policies are to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. E-cigarette devices specifically designed and marketed to facilitate stealth vaping (eg, resembling USB flash drives and pens) may require regulatory action. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

Concurrent use of e-cigarettes and cannabis and associated COVID-19 symptoms, testing, and diagnosis among student e-cigarette users at four U.S. Universities.

INTRODUCTION: This investigation assessed whether current (past 30-day) electronic cigarette (e-cigarette) and cannabis use was associated with coronavirus disease 2019 (COVID-19) symptomatology, testing, and diagnosis among college student e-cigarette users. METHODS: Participants were 18-26-year-old college student e-cigarette users attending four geographically diverse, large U.S. public universities during October-December 2020 (N = 800). Multivariable logistic regression models explored associations between exclusive e-cigarette use and concurrent e-cigarette and cannabis use and COVID-19 symptoms, testing, and diagnosis. Models controlled for demographics, university site, and current use of combustible cigarettes, cigars, and smokeless tobacco. RESULTS: Over half of student e-cigarette users (52.0%) concurrently used cannabis. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 3.53 times more likely (95%CI = 1.96-6.36) to report COVID-19 symptoms, after adjusting for the covariates. Compared to infrequent exclusive e-cigarette users, infrequent concurrent users (AOR = 4.72, 95%CI = 1.31-17.00), intermediate concurrent users (AOR = 5.10, 95%CI = 1.37-18.97), and frequent concurrent users (AOR = 7.44, 95%CI = 2.06-26.84) were at increased odds of reporting COVID-19 symptoms. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 1.85 times more likely (95%CI = 1.15-2.98) to report a COVID-19 diagnosis. Intermediate concurrent users (AOR = 2.88, 95%CI = 1.13-7.35) and frequent concurrent users (AOR = 3.22, 95%CI = 1.32-7.87) were at increased odds of reporting a COVID-19 diagnosis, compared to infrequent exclusive e-cigarette users. CONCLUSIONS: Concurrent use of e-cigarettes and cannabis may be an underlying risk factor of COVID-19 symptomatology and diagnosis, with more pronounced odds found among intermediate and frequent users. Results highlight the need to educate students about the impacts of e-cigarette and cannabis use on respiratory, immune, and overall health.

Assessment of Exclusive, Dual, and Polytobacco E-Cigarette Use and COVID-19 Outcomes Among College Students.

PURPOSE: This study examined current (past 30-day) dual- and polytobacco use patterns and COVID-19 symptomatology, testing, and diagnosis status among college student electronic cigarette (e-cigarette) users. DESIGN: Cross-sectional online questionnaire administered during October-December 2020. SETTING: Four large, U.S. public universities in geographically diverse locations. SAMPLE: College students (N=756) ages 18-24 who reported current e-cigarette use. MEASURES: Current use of e-cigarettes, combustible cigarettes, and cigars, and self-reported COVID-19 symptomatology, testing, and diagnosis status were measured. ANALYSIS: Multivariable logistic regression models accounting for students' demographics, university site, fraternity/sorority membership, and current residence. RESULTS: Over half (53.6%) of students were exclusive e-cigarette users, 20.4% were dual e-cigarette and combustible cigarette users, 4.6% were dual e-cigarette and cigar users, and 21.4% were poly users of e-cigarettes, combustible cigarettes, and cigars. Compared to exclusive e-cigarette users, dual users of e-cigarettes and combustible cigarettes (AOR=2.12, 95%CI=1.05-4.27) and poly users of e-cigarettes, combustible cigarettes, and cigars (AOR=3.70, 95%CI=1.78-7.70) had increased odds of COVID-19 symptomatology, even when accounting for covariates. While current tobacco use groups did not differ based on COVID-19 testing, polytobacco users had significantly increased odds (AOR=2.16, 95%CI=1.11-4.20) of having received a positive COVID-19 diagnosis. CONCLUSION: Given use of two or more tobacco products increased COVID-19-related risks, results underscore the need to prevent dual- and polytobacco use behaviors in college student e-cigarette users.

#Alcohol: Portrayals of Alcohol in Top Videos on TikTok.

OBJECTIVE: The purpose of this study was to characterize the content and themes present in user-generated TikTok videos portraying alcohol. METHOD: We captured the 100 most popular videos including the #alcohol hashtag on the popular social networking site TikTok. We used an iterative process to codebook development, resulting in codes for user sentiment toward alcohol, type of alcohol depicted, brand references, degree of alcohol use, and positive/negative associations with alcohol use. Videos were independently double coded, evaluated for inter-rater agreement, and adjudicated if differences were present. RESULTS: The videos in our sample were collectively viewed 291,999,100 times. The vast majority (98%) of videos expressed pro-alcohol sentiment. Nearly half of videos (41%) were guide videos demonstrating drink recipes. The majority of videos (72%) included liquor. Consuming multiple drinks quickly was depicted in more than half of videos (61%), whereas intoxication (13%) was exhibited less frequently. Positive associations with alcohol were prevalent; 69% of videos conveyed positive experiences with alcohol, 55% of videos contained humor, and 45% included associations of alcohol with camaraderie. Negative associations with alcohol were rarely portrayed (4%). CONCLUSIONS: Top alcohol-related videos on TikTok are heavily viewed. Their contents demonstrate a propensity to promote rapid consumption of multiple drinks and to juxtapose alcohol use with positive associations such as humor and camaraderie, while rarely depicting negative outcomes associated with hazardous alcohol use.

Psychometric Properties of the AUDIT-C within an Amazon Mechanical Turk Sample.

Objectives: Amazon's Mechanical Turk (MTurk) has become a popular data collection tool in the addiction sciences. We sought to examine the psychometric properties of the AUDIT-C in an MTurk sample. Methods: Data collection was facilitated via MTurk (N=309; 52.8% female), where an online survey assessed demographic data, alcohol use behaviors (AUDIT-C), and alcohol-related consequences (CAPS-r). Responses to the AUDIT-C were subjected to a principal component analysis to evaluate the structure of the 3-item measure. Alcohol-related consequences were used as a measure of convergent validity. Results: Results provided evidence for a single-factor structure. Pearson's product-moment correlation coefficients between AUDIT-C scores and CAPS-r scores produced statistically significant results (r = 0.51, p < .001). Using biological sex-based suggested cut-off scores for the AUDIT-C, hazardous drinkers (M = 19.15, SD = 8.27) demonstrated statistically significantly higher levels of alcohol-related consequences than non-hazardous drinkers (M = 12.56, SD = 5.35; t(295) = -8.34, p < .001). Reliability and stability statistics demonstrated strong internal consistency. Conclusions: Results demonstrate the sound psychometric properties of the AUDIT-C for an MTurk sample and provide evidence supporting the use of AUDIT-C as a screening tool to be employed with digitally accessed populations to identify and reach hazardous drinkers.

Self-Perceptions, Normative Beliefs, and Substance Use Associated With High School Girls Comparing Themselves to Peers.

BACKGROUND: We assessed whether self-descriptions, self-perceptions, perceived substance use of friends, and actual substance use were associated with high school girls' frequency of making social comparisons to peers. METHODS: We analyzed data from the Adolescent Health Risk Behavior Survey data for 357 high school girls using multinomial logistic regression. RESULTS: Compared to those who "never/rarely" made social comparisons, participants who self-described as fearing something constantly (p = .014) and forced to imitate the people they like (p = .009) were more likely to "usually" compare themselves to peers. Participants who described themselves as feeling forced to imitate the people they like (p = .022), were not the person they would like to be (p = .005), and did not remain calm under pressure (p = .010), were more likely to "often/always" make social comparisons. Participants who perceived themselves as unattractive (p = .034) and self-centered (p = .016) were more likely to "often/always" make social comparisons. Participants who perceived a larger proportion of friends use illicit drugs were less likely to "usually" make social comparisons (p = .027). Participants who perceived a larger proportion of friends drink alcohol were more likely to "often/always" make social comparisons (p = .018). CONCLUSIONS: Girls who perceive and describe themselves more negatively are at increased odds of making social comparisons to peers.