Associations between e-cigarette marketing exposure and vaping nicotine and cannabis among U.S. adults, 2021.

INTRODUCTION: Little is known about the influence of e-cigarette marketing on cannabis vaping behaviors. This study examined the associations between e-cigarette marketing exposure and nicotine and cannabis vaping among adults. METHODS: This cross-sectional study included a U.S. nationally representative sample of adults from the Wave 6 survey of the Population Assessment of Tobacco and Health Study. We used multinomial logistic regressions to examine the associations between past 30-day e-cigarette marketing exposure and past 30-day vaping behavior (sole- and dual-vaping of nicotine and cannabis) overall and stratified by age. RESULTS: Overall, 52.0 % of respondents reported e-cigarette marketing exposure, and 89.8 %, 5.6 %, 3.2 %, and 1.4 % reported no vaping, sole-nicotine vaping, sole-cannabis vaping, and dual-vaping, respectively. E-cigarette marketing exposure was associated with increased odds of reporting sole-cannabis vaping versus no vaping (adjusted risk ratio [aRR], 1.31; 95 % confidence interval [CI], 1.09-1.57) and dual-vaping versus no vaping (aRR, 1.26; 95 % CI, 1.01-1.57). This association was found among those aged 18-24 and 25-34 years. It was also associated with increased odds of reporting sole-cannabis vaping versus sole-nicotine vaping (aRR, 1.28; 95 % CI, 1.04-1.58). This association was found among those aged 18-24 years. DISCUSSION: E-cigarette marketing exposure was associated with sole-cannabis vaping and dual-vaping, not sole-nicotine vaping among U.S. adults. Such associations were mainly driven by young adults aged 18-24 and 25-34 years. Greater restrictions on tobacco marketing may have reduced the influence of e-cigarette marketing on nicotine vaping, while gaps in marketing restrictions for cannabis may contribute to e-cigarette marketing influence on cannabis vaping.

Associations between e-cigarette marketing exposure and vaping nicotine and cannabis among U.S. adults, 2021.

Importance: Vaping has become an increasingly common method for consuming nicotine and cannabis, a trend potentially influenced by e-cigarette marketing. However, little is known about the influence of e-cigarette marketing on cannabis vaping behaviors. Objective: To examine the associations between e-cigarette marketing exposure and nicotine and cannabis vaping behaviors among adults. Design Setting and Participants: This cross-sectional study included a U.S. nationally representative sample of adults (≥18 years) from the Wave 6 survey of the Population Assessment of Tobacco and Health (PATH) Study, conducted from March to November 2021. Exposure: Past 30-day e-cigarette marketing exposure (overall and by ten marketing channels). Main Outcomes and Measures: Past 30-day vaping behavior (sole- and dual-vaping of nicotine and cannabis) overall and stratified by age. Results: The study included 30,516 respondents (48.0% male and 63.9% non-Hispanic White). Overall, 52.0% of respondents reported past 30-day e-cigarette marketing exposure, and 89.8%, 5.6%, 3.2%, and 1.4% reported no vaping, sole-nicotine vaping, sole-cannabis vaping, and dual-vaping, respectively. Multinominal logistic regression results show exposure to e-cigarette marketing was associated with increased odds of reporting sole-cannabis vaping versus no vaping (adjusted risk ratio [aRR], 1.31; 95% confidence interval [CI], 1.09-1.57) and dual-vaping versus no vaping (aRR, 1.26; 95% CI, 1.01-1.57). Stratification analysis found these associations among those aged 18-24 and 25-34 years but not older adults (≥35 years). Those exposed to e-cigarette marketing also had increased odds of reporting sole-cannabis vaping versus sole-nicotine vaping (aRR, 1.28; 95% CI, 1.04-1.58). Stratification analysis found this association only among those aged 18-24 years. E-cigarette marketing exposure via several channels (retail stores, billboards, events, newspapers/magazines) was associated with increased odds of reporting sole-cannabis vaping. Conclusions and Relevance: E-cigarette marketing exposure was only associated with sole-cannabis vaping and dual-vaping, not sole-nicotine vaping among U.S. adults. Such associations were mainly driven by young adults aged 18-24 and 25-35 years and were found for multiple marketing channels. Greater restrictions on tobacco marketing may have reduced the influence of e-cigarette marketing on nicotine vaping, while gaps in such marketing restrictions for cannabis may contribute to continued influence of e-cigarette marketing on cannabis vaping.

Associations of daily alcohol, cannabis, combustible tobacco, and e-cigarette use with same-day co-use and poly-use of the other substances.

BACKGROUND: Young adults frequently use alcohol, cannabis, and tobacco together. Given the increased prevalence of e-cigarette use and recreational cannabis use, we investigated daily patterns of alcohol, cannabis, and tobacco use and distinguished combustible tobacco from e-cigarettes. METHODS: Young adult college students (N=341) reporting past-month alcohol and cannabis use "at the same time so that their effects overlapped" completed two 28-day bursts of repeated daily surveys. Exposures were day- and person-level use of each substance. Outcomes were (1) same-day co-use of each remaining substance or (2) poly-use of the other substances. RESULTS: Daily use of alcohol, cannabis, combustible cigarettes, and e-cigarettes increased the odds of same-day co-use of the other substances (except combustible tobacco with e-cigarettes) and each poly-use outcome. The influence of person-level substance use on daily substance use was less consistent. Only e-cigarette use increased the odds of daily alcohol use. Use of either tobacco product but not alcohol increased the odds of daily cannabis use. Person-level alcohol and cannabis use increased the odds of daily use of either tobacco product but use of one tobacco product was not associated with daily use of the other product. CONCLUSIONS: These findings increase our understanding of emerging daily patterns of alcohol, cannabis, and tobacco co-use, and the impact of different tobacco products. Future work is needed to extend this research into non-college samples and people who use tobacco but do not use alcohol and cannabis simultaneously, and examine daily chronologies of multiple substances that could serve as dynamic markers of risk.

Patient perceptions regarding alcohol use after bariatric surgery.

INTRODUCTION: Patients who have undergone bariatric surgery are at increased risk of an alcohol use disorder. Though patients understand this risk, the majority engage in post-surgical alcohol use. This suggests that education alone is not sufficient to reduce post-surgical drinking. To prevent development of post-surgical alcohol use disorders, we need better understanding of the reasons patients use alcohol following surgery. The purpose of this study was to identify factors associated with post-surgical alcohol use. METHOD: Patients (N = 20) who were 1-3 years post-bariatric surgery and were consuming alcohol at least twice monthly participated in a 60-min interview. Participants responded about their knowledge regarding risk of post-surgical alcohol use and reasons why patients may start drinking. Deductive and inductive coding were completed by two independent raters. RESULTS: Although nearly all participants were aware of the risks associated with post-surgical alcohol use, most believed that lifelong abstinence from alcohol was unrealistic. Common reasons identified for using alcohol after bariatric surgery included social gatherings, resuming pre-surgical use, and addiction transfer. Inductive coding identified three themes: participants consumed alcohol in different ways compared to prior to surgery; the effect of alcohol was substantially stronger than pre-surgery; and beliefs about why patients develop problematic alcohol use following surgery. CONCLUSION: Patients consume alcohol after bariatric surgery for a variety of reasons and they do not believe recommending abstinence is useful. Understanding patient perceptions can inform interventions to minimize alcohol use after bariatric surgery. Modifications to traditional alcohol relapse prevention strategies may provide a more robust solution to decreasing negative outcomes experienced by individuals undergoing bariatric surgery.

The Impact of Reducing Nicotine Content on Adolescent Cigarette Smoking and Nicotine Exposure: Results From a Randomized Controlled Trial.

INTRODUCTION: As the science base around the potential benefits of a reduced-nicotine standard for cigarettes grows, information on the potential effects on adolescent smokers is a high priority. The aim of this randomized trial was to test the influence of 3-week exposure to reduced nicotine cigarettes in a sample of adolescent daily smokers. AIMS AND METHODS: In this double-blind, two-arm, randomized controlled trial (NCT0258731), following a 1-week baseline, adolescent daily smokers not currently intending to quit (ages 15-19 years, n = 66 randomized) were urn randomized to use either very low nicotine content (VLNC; 0.4 mg/g; n = 33) or normal nicotine content (NNC, 15.8 mg/g; n = 33) research cigarettes for 3 weeks. Participants attended five study sessions at our clinical laboratory. The primary outcome was average total cigarettes smoked per day (CPD; including both study and non-study cigarettes) at week 3. RESULTS: Stepwise regression results demonstrated that compared with NNC cigarettes (n = 31), assignment to VLNC cigarettes (n = 29), was associated with 2.4 fewer CPD on average than NNC assignment (p < .05) week 3 when controlling for covariates (p < .01, Cohen's d = 0.52 n = 60 completed all procedures). VLNC cigarettes were also associated with lower levels of craving reduction than NNC cigarettes (Questionnaire on Smoking Urges Factor 2, p < .05). No group differences were found for secondary outcomes. CONCLUSIONS: Adolescent participants assigned to VLNC use for 3 weeks smoked fewer total CPD relative to the NNC group. Overall, data suggest that a VLNC policy would reduce cigarette smoking in adolescents who smoke, but high rates of incomplete adherence suggest that youth may seek alternative sources of nicotine in this scenario. IMPLICATIONS: The US Food and Drug Administration may enact a reduced-nicotine product standard that would affect all commercially available cigarettes. One important population affected by this policy would be adolescents who smoke. This study, the first clinical trial of VLNC cigarettes in adolescents, demonstrates that adolescents switched to VLNC cigarettes for 3 weeks reduced their CPD relative to the normal-nicotine cigarette control group, without leading to increased respiratory symptoms or increased withdrawal. Biomarkers indicated the use of other sources of nicotine, suggesting that such a policy will need to consider approaches to assist in transitioning away from smoking.

Understanding Heterogeneity Among Simultaneous Alcohol and Marijuana Users: Latent Classes Derived From Daily Diary Data.

OBJECTIVE: Simultaneous use of alcohol and marijuana (SAM) is common among U.S. college students, but little research has examined specific substance use behaviors during SAM use episodes. This study identified latent classes of SAM users based on their SAM, alcohol-only, and marijuana-only use episodes. METHOD: College student SAM users (N = 284; 50.7% female; M age = 19.8 years) completed up to five surveys each day across two 4-week bursts. Latent class analysis (LCA) was used to characterize SAM users based on seven latent class indicators of use behavior. Sex was examined in relation to latent class membership. RESULTS: Five unique classes emerged: Frequent Marijuana-Focused SAM users (21%); Frequent Alcohol-Initiating SAM users (29%); Heavy-Drinking Infrequent SAM users (12%); Moderate SAM users (29%); and Light Infrequent SAM users (9%). These groups were differentiated primarily by their frequency of SAM use, form of marijuana, whether marijuana was used on non-SAM occasions, and whether consequences were experienced. Groups differed significantly by sex. CONCLUSIONS: College student SAM users are heterogeneous with respect not only to their degree of SAM use but also in their pattern of drinking, type of marijuana use, relative focus on alcohol versus marijuana, and risk of experiencing acute negative consequences. Describing this heterogeneity is an important step toward developing interventions for different types of users.

Examining the heterogeneity of polysubstance use patterns in young adulthood by age and college attendance.

Substance use in young adulthood and polysubstance users (PSU), in particular, pose unique risks for adverse consequences. Prior research on young adult PSU has identified multiple classes of users, but most work has focused on college students. We examined PSU patterns by age and college attendance during young adulthood in two nationally representative samples. Using National Epidemiological Survey on Alcohol and Related Conditions (NESARC) Wave 1 and NESARC-III data sets, multigroup latent class analysis (MG-LCA) was employed to examine PSU patterns based on age (18-24 vs. 25-34) and determine whether solutions were similar (i.e., statistically invariant) by college attendance/graduation. Classes were estimated by binary past-year use of sedatives, tranquilizers, opioids/painkillers, heroin, amphetamines/stimulants, cocaine, hallucinogens, club drugs, and inhalants, and past-year frequency of alcohol, cigarette, and cannabis use. PSU patterns are largely replicated across waves. Model fit supported 3-class solutions in each MG-LCA: Low frequency-limited-range PSU (alcohol, cigarettes, and cannabis only), medium-to-high frequency limited-range PSU (alcohol, cigarettes, and cannabis only), and extended-range PSU (ER PSU; all substances). Apart from one model, MG-LCA solutions were not invariant by college attendance/graduation, suggesting important differences between these groups. Except for alcohol, cannabis, and cigarette use frequency, results showed that probabilities of illicit and prescription drug use declined in the older age group. Findings also supported examining college and noncollege youth separately when studying PSU. ER PSU may be uniquely vulnerable to coingesting substances, particularly for nongraduates, warranting future research to classify patterns of simultaneous PSU and identify predictors and consequences of high-risk combinations (e.g., alcohol and opioids). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data.

At the population level, use of multiple substances (or "co-use") is prevalent in young adulthood and linked with increased risk for experiencing substance-related harms. Less understood is the heterogeneity of substance use behaviors within individuals and across days, as well as the proximal predictors of these daily use patterns. The present study applied latent class analysis to daily diary data to identify daily substance use patterns and compare day-level class membership based on day-level stress and positive and negative affect among a higher-risk sample of young adult substance users. Participants (n = 152) completed up to 13 daily assessments of stress, affect, and substance use behavior. Among substance use days, five classes of days were identified: cannabis (some alcohol; 43% of days), alcohol-only (26%), vaping (some alcohol, cannabis; 24%), stimulant + alcohol (some cannabis, vaping; 4%), and cigarette-only (3%) days. Days with lower levels of perceived stress were significantly more likely to be alcohol-only Days relative to being days characterized by cigarette use, cannabis use, or multiple drug combinations. Days with higher levels of stress and negative affect were more likely to be cigarette-only days relative to cannabis and vaping days. Study findings document the wide range of substance use and co-use behaviors exhibited among young adults in daily life and highlight the importance of considering risk factors that correspond to days of problematic use patterns.

Real-world simultaneous alcohol and cannabis use: An ecological study of situational motives and social and physical contexts.

OBJECTIVE: Given the adverse outcomes associated with simultaneous alcohol and marijuana (SAM) use, understanding factors that give rise to occasions of simultaneous use is critical. This study examines the relationships between situational motives and contexts and three situational outcomes: simultaneous alcohol and marijuana use (SAM) use versus cannabis-only use, number of cannabis uses, and subjective effects. METHOD: Past-month SAM users (n = 341; 52% female; 75% White; 10% Latinx/Hispanic; age 18-24) from three U.S. college campuses completed 8 weeks of surveys up to five times a day. Three-level generalized linear mixed-effects models tested the effects of situational motives and social and physical contexts on occasion type (SAM vs. cannabis-only), cannabis use, and subjective effects. RESULTS: Situational social and enhancement motives were related to greater odds of SAM relative to cannabis-only use; expansion motives were reported more often on cannabis-only occasions. Using with others and at friends' places, being with others consuming cannabis, and being with others who are intoxicated were more likely when combining alcohol with cannabis. Increased number of cannabis uses and subjective effects in a social context were evident only on cannabis-only occasions. Using alone and using at home were greater on cannabis-only occasions and were associated with lower cannabis use and subjective effects. CONCLUSIONS: The combination of alcohol and cannabis use occurs during social situations and when motivated by positive reinforcement but number of cannabis uses is not increased when consuming cannabis with alcohol in social situations. Characterizing the complex interplay of situational factors that contribute to risky use will inform interventions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Profiles of Parenting in the Digital Age: Associations With Adolescent Alcohol and Marijuana Use.

OBJECTIVE: This study assessed parental communication and behavior related to children's Internet and social media usage to delineate profiles of parenting regarding these newer forms of media and associated those profiles with youth alcohol and marijuana use. METHOD: Using data from 748 adolescents (mean age = 15.8, 52% female, 25% non-White) and their parents, latent class analysis was performed to identify classes based on items concerning device ownership, monitoring, and communication of online activities. The associations between class membership and ever use of alcohol and marijuana were then tested, controlling for screen time, general parenting, substance availability, and deviance. RESULTS: We identified five classes: high media parenting (23%), low media parenting (20%), moderate media parenting with limited device access (11%), moderate media parenting with high device access (25%), and low monitoring but high communication about online activities (21%). Probability of class membership was differentially associated with contemporaneous and 1-year prospective alcohol and marijuana use. The low-device-access class had the highest percentage of abstainers at both time points. The lowest rate of abstaining was associated with membership in the high-device-access class but moderate levels of monitoring. Membership in the low media parenting class was associated with use of both substances. CONCLUSIONS: This study provides a novel exploration of media parenting, an important construct in the context of increased access to personalized media devices that allow for streaming of mature media content related to substance use.

Preliminary impact of the COVID-19 pandemic on smoking and vaping in college students.

We examined tobacco use changes in young adult college students in the context of the COVID-19 pandemic, focusing on smoking and vaping. First, we evaluated changes in tobacco use from pre to post campus closure focusing on smoking and electronic nicotine vaping frequency (days) and quantity (cigarettes/cartridges per day). Also, given the potential protective effects of pausing (temporarily or permanently discontinuing) smoking or vaping, we evaluated its predictors. We hypothesized that generalized anxiety and moving home would increase the odds of pausing. We also explored effects of COVID-related news exposure and seeking on tobacco use. We re-contacted young adults two years after they completed a study on alcohol and marijuana co-use. A subset (N = 83; 26.6% of the 312 respondents) were enrolled in college and reported use of cigarettes (n = 35) and/or e-cigarettes (n = 69) in the week prior to their campus closing (PC). Paired sample t-tests compared smoking and vaping frequency and quantity PC to past-week use since closing (SC). Multivariate logistic regression models were fit to examine predictors of pausing. Both smoking and vaping frequency decreased from PC to SC; however, decreased frequency did not correspond to reduced quantity. Twenty-four participants (28.9%) paused past-week use SC. Higher anxiety and moving home (versus living independently) were related to increased odds of pausing, whereas COVID-19 related news exposure and seeking were related to decreased odds of pausing. Characterizing COVID-19 related tobacco use change provides insights into how college students respond to novel health threats and informs potential interventions.

Examining motivational pathways from adult attention-deficit/hyperactivity disorder symptoms to cannabis use: Results from a prospective study of veterans.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is linked prospectively to cannabis; however, no study has examined mechanisms underlying this comorbidity. We examined 5 cannabis motives (i.e., coping with negative affect, sleep, social anxiety, perceived low risk of cannabis, and altered perception) as mediators of the prospective ADHD-cannabis relation. Method: Veterans reporting lifetime cannabis use (N = 361; 93% male; 80% White) completed three semiannual assessments. Prospective mediation models using structural equation modeling analyzed the indirect effects of baseline ADHD symptoms on 12-month cannabis use and problems via each motive at 6 months. Zero-inflated negative binomial models were employed for both manifest outcomes and ADHD symptoms and motives were each modeled as 1-factor latent variables. Results: Sleep motives was a robust mediator for cannabis use frequency in single mediator models and was marginally significant when examined simultaneously with other motives after accounting for baseline cannabis use, demographics, other substance use, and other psychopathology. Coping with negative affect was the only significant mediator of ADHD symptoms and subsequent cannabis problem severity. Conclusion: Among veterans with ADHD symptoms, sleep disturbance is a salient motive for cannabis use, whereas coping with negative affect is a proximal predictor of cannabis problems. Findings support addressing sleep disturbance in adults with ADHD symptoms and converge with extant literature demonstrating robust associations between coping motives and substance use problems. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Structured and Unstructured Activities and Alcohol and Marijuana Use in Middle School: The Role of Availability and Engagement.

Background: Behavioral Theories of Choice applied to substance use suggests that use depends on availability of substances and alternative activities. Applying this theory to younger adolescents offers the possibility of investigating potentially malleable prevention and intervention targets. Objectives: The current study examines the role of perceived availability and engagement in structured and unstructured activities on adolescent alcohol and marijuana use controlling for substance availability. Methods: Data were collected as part of a longitudinal study of 6th-8th graders (N = 1023; 52% female; 76% White; Mage = 12.23 years). Multiple logistic regressions analyzed the impact of availability and engagement in structured and unstructured activities at Wave 1 on heavy drinking and marijuana use by study end in both unadjusted and adjusted models. Results: Availability of unstructured activities was associated with increased likelihood of both marijuana use (b* = .06, p = .04) and heavy drinking (OR = 1.20, p < .001), while availability of structured activities was not significantly associated with likelihood of either marijuana use (b* = -.10, p = .07) or heavy drinking (OR = 0.86, p = .16). Engagement in unstructured activities was significantly associated with increased likelihood of both marijuana use (b* = .06, p = .03) and heavy drinking (OR = 1.11, p = .003), while engagement in structured activities was significantly associated with decreased likelihood of both marijuana use (b* = -.25, p < .001) and heavy drinking (OR = 0.85, p = .046). Conclusions: Perceived availability of and engagement in unstructured activities may present a risk, while perceived availability of and engagement in structured activities may serve as a protective factor for youth substance use.

Longitudinal associations between negative urgency, symptoms of depression, cannabis and alcohol use in veterans.

There is a high comorbidity between symptoms of depression and cannabis and alcohol use in civilian and veteran populations. Prospective studies attempting to clarify the directionality of these comorbidities have yielded mixed results. Further, the relations between these constructs and impulsive personality, particularly negative urgency (NU, the tendency to act rashly when experiencing emotional distress) warrants further attention, as NU relates to symptoms of depression and alcohol and cannabis use. Importantly, NU partially accounts for the association between symptoms of depression and cannabis and alcohol problems in cross-sectional studies. This study examined alternative theories of directionality in order to better understand the longitudinal associations between symptoms of depression, NU, and cannabis or alcohol use. Three semiannual waves of data (baseline, 6-month, and 12-month) were collected in parallel assessments from a sample of Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans (N = 361). Autoregressive cross-lagged panel models were used to test four alternative theory-driven models about the longitudinal associations between the interaction of symptoms of depression and NU and cannabis or alcohol use. Models revealed unique direction of effects specific to each substance, such that the interaction between symptoms of depression and NU at 6 months postbaseline predicted more alcohol use at 12 months postbaseline, whereas more cannabis use at 6 months postbaseline predicted more severe symptoms of depression at 12 months postbaseline. Results suggests alternate directions of effect for cannabis and alcohol use. Future research should examine these patterns over wider assessment periods in order to see more variability and change over time. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Complex cannabis use patterns: Associations with cannabis consequences and cannabis use disorder symptomatology.

BACKGROUND: Historically, cannabis researchers have assumed a single mode and product of cannabis (e.g., smoking plant). However, patterns of use, products (e.g., concentrates, edibles), and modes (e.g. blunts, vaporizers) are diversifying. This study sought to: 1) classify cannabis users into groups based on their use of the full range of cannabis products, and 2) examine user group differences on demographics, cannabis consequences and cannabis use disorder (CUD) symptomatology. METHODS: In a sample of college students (data collected in Fall 2017), who used cannabis in the past year (N = 1390), latent class analysis (LCA) was used to characterize cannabis users. We then added demographic characteristics, cannabis consequences, and CUD symptomatology scores separately to LCA models to examine class differences. RESULTS: Five unique classes emerged: high-frequency all-product users, high-frequency plant/moderate-frequency edible and concentrate users, low-frequency plant users, moderate-frequency plant and edible users, and low-frequency edible users. Demographic characteristics, cannabis consequences, and CUD symptomatology differed across classes characterized by frequency as well as product. CONCLUSIONS: Results reflect the increasing variety of cannabis products, modes, and use patterns among college students. In this sample, frequency of use remains a strong predictor of cannabis-related consequences, in addition to type of product. As variation in cannabis use patterns continue to evolve, it is essential for researchers to conduct comprehensive assessments.

Drinking beyond the binge threshold in a clinical sample of adolescents.

BACKGROUND AND AIMS: Nearly all the research conducted on high-intensity drinking has focused on college and school-based samples, with recent calls for research to understand this risky drinking pattern in non-school-based samples and across time. This study aimed to characterize predictors and consequences of non-binge drinking, age- and gender-adjusted binge drinking (level I) and drinking at levels representing two or more times (level II) and three or more times the level I binge threshold (level III) in a clinical sample of adolescents followed into young adulthood. DESIGN: Cross-sectional associations between non-binge drinking, binge levels, and negative alcohol-related consequences were examined during adolescence; prospective analyses tested whether adolescent non-binge drinking and binge levels predicted alcohol use disorder (AUD) symptoms in young adulthood and whether changes in drinking motives over time were associated with binge levels in young adulthood. SETTING: US clinical settings. PARTICIPANTS: A total of 432 adolescents (aged 12-18 years) with alcohol-related problems followed into young adulthood (aged 19-25 years). MEASUREMENTS: Life-time drinking history, Structured Clinical Interview for DSM AUDs, and Inventory of Drinking Situations. FINDINGS: Results were generally consistent with a distinction between binge level I versus levels II-III on various negative alcohol-related consequences in adolescence (Ps < 0.05) that were maintained in young adulthood (Ps < 0.01). The maintenance of relatively high endorsement of enhancement and social motives over time was associated with binge levels II-III in young adulthood (Ps < 0.001); decreases in coping motives were associated with less risky drinking in adulthood (P = 0.003). CONCLUSIONS: Among US adolescents with alcohol-related problems who were followed-up in young adulthood (aged 19-25 years), standard threshold binge drinking (five or more drinks per occasion; level I) was generally associated with fewer alcohol-related consequences and problem behaviors than binge drinking at two or more times (level II) or three or more times (level III) the standard binge threshold.

Lability in Parent- and Child-Based Sources of Parental Monitoring Is Differentially Associated with Adolescent Substance Use.

Parental knowledge about adolescents' whereabouts and activities remains one of the strongest predictors of reduced adolescent substance use. A recent study found that across middle childhood and adolescence, parental knowledge is characterized by fluctuations on a year-to-year basis, termed lability, even more-so than by linear trends, and that lability too is a predictor of adolescent substance use (Lippold et al., Dev. Psychol. 17, 274-283, 2016). The present study replicates Lippold et al. (Dev. Psychol. 17, 274-283, 2016) by quantifying developmental change and lability in parental knowledge across adolescence and examining associations with drinking, smoking, and other drug use later in adolescence, and extends the study by examining the sources of knowledge: child disclosure, parental solicitation, and parental control, separately. Using a community-based sample of 1023 youth in the Northeastern region of the USA, all three sources of knowledge were characterized by developmental change and lability. In general, higher levels and steeper developmental declines in knowledge were associated with substance use outcomes. Findings for child disclosure replicated the prior findings: increased lability of child disclosure predicted substance use. Unexpectedly, decreased lability of parental solicitation and control was associated with worse substance use outcomes. Findings suggest different mechanisms by which lability in child- and parent-driven cultivation of knowledge is associated with substance use. If replicated in studies that address causality, these mechanisms could be leveraged for prevention/intervention efforts. For example, increasing the consistency of child disclosure may help prevent substance use, but teaching parents to be more responsive to time-specific challenges with adolescents may be more effective than increasing the consistency of parents' knowledge-building parenting behaviors.

Internet Alcohol Marketing Recall and Drinking in Underage Adolescents.

OBJECTIVE: Evidence suggests that adolescents are exposed to alcohol marketing in digital media. We aimed to assess recall of Internet alcohol marketing and its association with underage drinking. METHODS: New England adolescents age 12 to 17 years (N = 202) were recruited from a pediatric clinic. Subjects completed an online survey assessing: 1) general simple recall of Internet alcohol marketing and 2) image-prompted recall of specific Internet alcohol marketing channels (display ads, commercials, brand websites, and brand social media pages). Cross-sectional associations between recall (simple and image-prompted) and ever-drinking were each assessed in regression analysis adjusting for age, gender, race, parent education, ever-smoking, media use, sensation-seeking, peer/parent drinking, parent monitoring/responsiveness, and parent Internet monitoring. RESULTS: In this sample (Mage = 14.5 years; 55% female; 89% white; high parent education), 20% reported ever-drinking and 87% recalled Internet alcohol marketing. Of the latter, 67% recalled display ads, 67% Internet commercials, 5% websites, and 5% social media pages. In logistic regression, higher simple Internet alcohol advertising recall was independently associated with higher odds of ever-drinking for simple (adjusted odds ratio: 2.66 [1.04,6.83]) but not for image-prompted recall. CONCLUSIONS: Despite controlling for potential confounders, simple recall of Internet alcohol marketing was significantly associated with underage drinking whereas image-prompted recall was significant only in bivariate analysis, likely due to small sample and a more limited range of specific channels assessed than those accessed by adolescents. Further longitudinal studies using image-prompted recall and capturing a broader range of internet platforms could be used to better understand adolescent engagement with alcohol marketing and guide policy and prevention efforts.

Prevalence and Correlates of Concurrent and Simultaneous Cannabis and Cigarette Use among Past-Year Cannabis-Using US College Students.

Background: Cannabis and tobacco use are significant public health concerns among young adults, with concurrent (in the same time period) and simultaneous (at the same time so the effects overlap) use of both substances on the rise. Few studies have examined these behaviors among college students. Objective: We examined the prevalence of concurrent and simultaneous cannabis and cigarette (combustible or electronic) use among a sample of college students and characterized the psychosocial predictors of concurrent and simultaneous use compared to using cannabis alone. Methods: Data on past-3 months cannabis and cigarette use were collected on 1352 college students who were past-year cannabis and alcohol users yielding four groups: cannabis-only users (n = 686), concurrent cannabis and cigarette users (CCAC; n = 235), simultaneous cannabis and cigarette users (SCAC; n = 293), and non-recent users of either substance (n = 138). Multinomial logistic regression analyses were utilized to predict group membership. Results: Relative to the cannabis-only group, White, compared to Non-White students, males, compared to females, frequent, compared to infrequent, alcohol users, including those who used alcohol simultaneously with cigarettes, and illicit drug users were more likely to belong to the CCAC or SCAC group. Conclusions: Findings suggest the need for unique intervention efforts to prevent onset or reduce co-use among male and White students as well as illicit drug users and frequent alcohol users.

A New Recall of Alcohol Marketing Scale for Youth: Measurement Properties and Associations With Youth Drinking Status.

OBJECTIVE: Adolescents are exposed to alcohol marketing through traditional advertising and through newer digital media channels. Cumulative marketing exposure across channels is of concern but has been insufficiently studied. This study explores the measurement of alcohol marketing exposure across channels and whether cumulative recalled exposure is independently associated with underage drinking. METHOD: Two hundred two New England adolescents (ages 12-17 years) were recruited from a general pediatrics clinic and completed an online survey. Recall of alcohol marketing across channels (e.g., Internet, magazines) was assessed, along with drinking behavior and relevant covariates (i.e., demographics, parental/peer drinking, smoking status, sensation seeking, Internet use, social media use, television use, and parental Internet monitoring). Confirmatory factor analysis was used to establish a latent construct of alcohol marketing exposure recall. Logistic regression tested associations between alcohol marketing recall and adolescent drinking, with covariates controlled for. RESULTS: Adolescents reported recall of alcohol marketing across all marketing channels. Alcohol marketing recall items were significantly correlated, with α = .83. The latent measurement model of alcohol marketing recall provided excellent fit to the data, χ2(17, n = 202) = 27.402, p = .052; root mean square error of approximation (.000-.092) = .055; Tucker-Lewis Index = .960; comparative fit index = .976; standardized root mean square residual = .037). Adjusted cross-sectional logistic regression analyses demonstrated that the latent alcohol marketing recall construct was significantly associated with underage drinking (adjusted odds ratio = 4.08, 95% CI [1.15, 14.46]) when relevant covariates were accounted for. CONCLUSIONS: The final measurement model provided support for construct validity of a novel alcohol marketing recall construct assessing cumulative cross-channel marketing exposure. Adolescent recall of alcohol marketing across channels was significantly associated with underage drinking, while associated factors such as peer/parental drinking were accounted for.