Objective:Underestimating how much one will drink has been associated with greater alcohol-related consequences. Elevated mood or drinking context may relate to drinking more than planned (or inten...

While it is not normative to initiate alcohol use prior to adolescence, substantial numbers of children do so. However, relatively little is known about the prevalence or predictors of alcohol initiation in childhood, compared to extensive research on adolescent initiation and alcohol use. The present study examines patterns and predictors of very early drinking initiation in childhood, focusing on child behavioral undercontrol and parent alcohol and drug use as time-varying risk factors across childhood, independent of sociodemographic background variables. Event history analyses model and predict the age of alcohol initiation across ages 4 to 11 in the ongoing Millennium Cohort Study. Methodological strengths include the prospective design initiated in infancy (prior to any alcohol consumption), multiple reporters, and large representative sample of children and parents (n = 11,355). Key predictors are child behavioral undercontrol and parent alcohol and drug use assessed across childhood. Weighted results show that <2% of children had their first drink of alcohol prior to their 8th birthday, rising to 13% by age 10–11 years. Odds of initiation are higher when parents rated children as behaviorally undercontrolled and when at least one parent in the household reported drinking alcohol and/or using illegal drugs, independent of sociodemographic group differences. Thus, an important minority initiated drinking during childhood, and there are key risk factors for early drinking. Increased focus on the epidemiology, etiology, and prevention of childhood drinking is needed.

Aims: Alcohol mixed with energy drink (AmED) use is associated with negative consequences including hazardous alcohol use and driving under the influence. While many studies have focused on correlates of AmED use among college samples, very few have examined patterns of AmED use during adolescence and young adulthood within the general population. Accordingly, the purpose of this study is to assess age differences in AmED use among a national sample of respondents aged 18 to 30. Methods: The data for this study come from the Monitoring the Future panel study from 2012 to 2015. The sample consists of 2222 respondents between the ages of 18 and 30. Multiple logistic regression using generalized estimating equations (GEE) was used to model past-year AmED prevalence across age and other covariates. Results: Nearly half (45.0%) of respondents indicated past-year AmED use at some point during the study period. The lowest prevalence rates were found at age 18 (25.9%) and the highest prevalence rates at age 21/22 (43.5%). GEE analyses indicated a statistically significant positive linear and negative quadratic trend with respect to the association between age of respondent and past-year AmED use. Namely, peak use occurred in early young adulthood (age 21/22 and 23/24) and then declined, reaching 32.0% by age 29/30. College attendance and several substance use behaviors at age 18 moderated these linear and quadratic age trends. Conclusions: AmED use peaked rapidly in early young adulthood and declined into later young adulthood. Substance use during adolescence was associated with a higher incidence of AmED use across all young adult ages and a slower decline of AmED use after age 21/22. Several sociodemographic factors were associated with AmED use, particularly college attendance at the age of 21/22.

The study examines how young adult transitions into and out of social roles (i.e., starting or ending a job, a romantic relationship, school) are associated with drinking motives (coping, enhancement, social, and conformity) and alcohol use in a given month. A community sample of young adult drinkers (N = 767; 56.3% female; 59.3% White; Ages 18-23) completed 24 consecutive months of online surveys (N = 15,333 months of data) about the previous month's experiences, social role transitions, and alcohol use. During the 2-year data collection window, participants reported starting/ending a job (10.0%/8.2%), a relationship (2.7%/4.3%), and school (9.2%/17.4%). Between persons, those who more often started jobs were more likely to drink and those who more often ended jobs had higher enhancement motives; those who more often ended relationships were more likely to drink, have a greater number of drinks when drinking, and have higher coping and enhancement motives; and those who more often started relationships had higher conformity motives. Within persons, during months when a relationship ended, participants reported stronger coping motives, and during months when a relationship started, they reported stronger social motives for drinking. During months when a relationship started or ended, participants also reported consuming a greater number of drinks when drinking. There were no differences based on starting or ending school. Young adult social role transitions are associated with concurrent changes in both alcohol use and motives for drinking. Understanding these contextual changes and their concomitant risks is key to providing salient interventions to reduce alcohol-related harm. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

(C) 2018 by the American Psychological Association

© The Author 2017. Published by Oxford University Press on behalf of the American Association for Public Opinion Research. All rights reserved. The national Monitoring the Future (MTF) study examines substance use among adolescents and adults in the United States and has used paper questionnaires since it began in 1975. The current experiment tested three conditions as compared to the standard MTF follow-up protocol (i.e., MTF Control) for the first MTF follow-up survey at ages 19/20 years (i.e., one or two years after high school graduation). The MTF Control group included participants who completed in-school baseline surveys in the 12th grade in 2012-2013 and who were selected to participate in the first follow-up survey in 2014 (n=2,451). A supplementary sample of participants who completed the 12th grade baseline survey in 2012 or 2013 but were not selected to participate in the main MTF follow-up (n=4,950) were recruited and randomly assigned to one of three experimental conditions: (1) Mail Push, (2) Web Push, (3) Web Push+E-mail. Results indicated that the overall response rate was lower in Condition 2 compared to MTF Control and to Condition 1; there were no differences between Condition 3 and other conditions. Web response was highest in Condition 3; among web responders, smartphone response was also highest in Condition 3. Subgroup differences also emerged such that, for example, compared to white participants, Hispanics had greater odds of web (versus paper) response and blacks had greater odds of smartphone (versus computer or tablet) response. Item nonresponse was lowest in the Web Push conditions (compared to MTF Control) and on the web survey (compared to paper). Compared to MTF Control, Condition 3 respondents reported higher rates of alcohol use in the past 30 days. The total cost was lowest for Condition 3. Overall, the Condition 3 Web Push+E-mail design is promising. Future research is needed to continue to examine the implications of web and mobile response in large, national surveys.

This study examines whether energy drink use and binge drinking predict sleep quantity, sleep quality, and next-day tiredness among college students. Web-based daily data on substance use and sleep were collected across four semesters in 2009 and 2010 from 667 individuals for up to 56 days each, yielding information on 25,616 person-days. Controlling for average levels of energy drink use and binge drinking (i.e., 4+ drinks for women, 5+ drinks for men), on days when students consumed energy drinks, they reported lower sleep quantity and quality that night, and greater next-day tiredness, compared to days they did not use energy drinks. Similarly, on days when students binge drank, they reported lower sleep quantity and quality that night, and greater next-day tiredness, compared to days they did not binge drink. There was no significant interaction effect between binge drinking and energy drink use on the outcomes.

Introduction: Sensation seeking is associated with elevated risk for substance use among adolescents and young adults. However, whether these associations vary across age for young men and women is not well characterized. Methods: Using data from the Monitoring the Future (MTF) panel study, we examine the age-varying associations of sensation seeking and three types of substance use behavior (binge drinking, cigarette use, and marijuana use) across ages 18 to 30 using time-varying effect modeling. Analyses include participants in the eleven most recent MTF cohorts (12th-graders in 1994–2004), who are eligible to respond through age 29/30 (N = 6338 people; 30,237 observations). Results: While sensation seeking levels and substance use are lower among women, the magnitude of the association of sensation seeking with binge drinking and with marijuana use among women exceeds that of men in the later 20s. Differential age trends were observed; among men, the associations generally decreased or remained constant with age. Yet among women, the associations decayed more slowly or even increased with age. Specifically, the association of sensation seeking with marijuana use among women increased during the late 20s, such that the association at age 30 exceeded that in the early 20s. Conclusions: The significantly stronger associations of sensation seeking with binge drinking and marijuana use observed among women compared to men during the mid- to late-20s suggests divergent risk factors across genders for substance use during young adulthood, with sensation seeking remaining a strong risk factor for women but not men.

© 2018, Alcohol Research Documentation Inc. All rights reserved. Objective: The purpose of the present study was to examine daily-level associations between alcohol-related consequences and next-day expectancies and alcohol use among frequently drinking college students using a measurement-burst daily diary study. Method: College students (N = 327; mean age = 19.7 years, SD = 1.26; 53.4% female) participated in a yearlong study in which they completed computerized interviews daily via mobile phones for 2 weeks in each academic quarter. Multilevel modeling was used to examine whether positive and negative consequences were associated with next-day alcohol expectancies and alcohol consumption. Results: Experiencing positive consequences from drinking was significantly associated with higher positive expectancies and a greater number of drinks consumed on the following day. The within-person association between daily consequences and next-day positive expectancies was stronger for those who were in fraternities/sororities compared with those who were not. Negative consequences were significantly associated with higher negative expectancies the next day but were not associated with number of drinks consumed the next day. Conclusions: Results of this study highlight the role of direct drinking experiences in influencing future expectations and drinking behavior using a method that enables analysis of both between-and within-person associations.

© 2018, Alcohol Research Documentation Inc. All rights reserved. Objective: Young adult substance use is linked with the risk of substance use disorders (SUDs) later in adulthood. Marriage may be part of this pathway because of both selection effects (early substance use reducing marriage) and socialization effects (marriage reducing later substance use and disorder). We examine whether marital status mediates the association between young adult substance use and subsequent SUDs, using causal mediation methods to strengthen inferences. Method: Using panel data from high school seniors in 1990–1998, we examined whether the effects of two exposures (level of alcohol/marijuana use at age 19/20) on the outcomes (alcohol use disorder [AUD]/ marijuana use disorder [MUD], nondisordered use, or abstinence at age 35) were mediated by marital status at age 29/30. Propensity score weights adjusted for potential confounding regarding both the exposures and the mediator. Results: Moderate and heavy alcohol/marijuana use at age 19/20 were associated with higher odds of AUD/MUD and lower odds of abstinence, each relative to nondisordered use, at age 35. The association between heavy alcohol use at age 19/20 and subsequent AUD was partially mediated by being unmarried at age 29/30; the associations between moderate and heavy marijuana use at age 19/20 and subsequent marijuana abstinence were partially mediated by being unmarried at age 29/30. Conclusions: Both selection and socialization effects related to marriage explain the perpetuation of substance use behaviors across adulthood. Selection effects on marriage seem to occur at different thresholds for young adult alcohol and marijuana use.

The majority of young adults who use alcohol and marijuana sometimes use the two substances simultaneously. Understanding why young adults engage in simultaneous alcohol and marijuana (SAM) use may inform interventions and help offset negative consequences. To date, research has not yet examined motives for SAM use. The current study tested a 26-item measure of motives for SAM use in a community sample of young adults to identify the factor structure and to evaluate associations of subscales of SAM motives with alcohol and marijuana motives and substance use. Young adults from the Seattle metropolitan area (N = 286; 58% female, 67% White/Caucasian) were asked about their motives for using alcohol, marijuana, and SAM as well as their use of alcohol and marijuana and related consequences in the past month. Exploratory factor analysis with promax rotation identified four factors to characterize motives for SAM use: (1) conformity (8 items, α = 0.87, e.g., “to fit in with a group I like,” “pressure from others”), (2) positive effects (6 items, α = 0.88, e.g., “cross-faded effects are better,” “to get a better high”) (3) calm/coping (3 items, α = 0.77, e.g., “to calm me down,” “to cope with anxiety”), and (4) social (5 items, α = 0.78, e.g., “because it is customary on special occasions,” “as a way to celebrate”). Results revealed that alcohol, marijuana, and SAM motives were moderately correlated. Even after controlling for alcohol or marijuana motives, SAM motives were associated with SAM use and marijuana use/consequences (but not alcohol use/consequences).

OBJECTIVE Marijuana use is relatively common among youth and increases during the transition to adulthood. Yet a substantial number of adolescents and young adults do not use marijuana. The purpose of this study was to examine how high school seniors' reasons for intending not to use marijuana within the next 12 months were prospectively associated with marijuana use reported 1 year later. METHOD Data were drawn from national longitudinal samples of U.S. high school seniors from the Monitoring the Future study (n = 3,044; 50% female; 65% White). Bivariate and multivariable logistic regression analyses were conducted to examine associations between reasons seniors indicated for intending not to use marijuana within the next 12 months and marijuana use reported 1 year later in the follow-up survey, controlling for sociodemographic characteristics and high school risk factors. Analyses were conducted separately among youth with and without lifetime marijuana use in high school. RESULTS In multivariable models, reasons associated with marijuana abstinence 1 year later among prior marijuana use abstainers were concerns about becoming addicted, use being against ones' beliefs, not liking marijuana users, and not having friends who use marijuana. Among prior marijuana users, not enjoying marijuana was a significant predictor of marijuana abstinence 1 year later. CONCLUSIONS Reasons for abstaining from marijuana have predictive utility in relation to later use, but these associations differ between those with and without prior marijuana use. Understanding the underlying reasons for stopping marijuana use or maintaining abstinence may inform youth substance use prevention and intervention programs.

© 2017 Taylor & Francis Background: Alcohol and marijuana are the most commonly used substances among adolescents but little is known about patterns of co-use. Objectives: This study examined patterns of concurrent (not overlapping) and simultaneous (overlapping) use of alcohol and marijuana among adolescents. Methods: Data from US-national samples of 12th graders (N = 84,805, 48.4% female) who participated in the Monitoring the Future study from 1976 to 2016 and who used alcohol and/or marijuana in the past 12 months were used to identify latent classes of alcohol use, marijuana use, and simultaneous alcohol and marijuana (SAM) use. Results: A four-class solution indicated four patterns of use among adolescents: (1) Simultaneous alcohol and marijuana (SAM) use with binge drinking and recent marijuana use (SAM-Heavier Use; 11.2%); (2) SAM use without binge drinking and with recent marijuana use (SAM-Lighter Use; 21.6%); (3) Marijuana use and alcohol use but no SAM use (Concurrent Use; 10.7%); and (4) Alcohol use but no marijuana or SAM use (Alcohol-Only Use; 56.4%). Membership in either SAM use class was associated with a higher likelihood of truancy, evenings out, and use of illicit drugs other than marijuana. SAM-Heavier Use, compared to SAM-Lighter Use, class members were more likely to report these behaviors and be male, and less likely to have college plans. Conclusions: Among 12th graders who use both alcohol and marijuana, the majority use simultaneously, although not all use heavily. Given the recognized increased public health risks associated with simultaneous use, adolescent prevention programming should include focus on particular risks of simultaneous use.

Introduction: Vaping has recently increased in popularity among adolescents. Little is known about heterogeneity of vapers, particularly in terms of why they vape. Identifying major subgroups of adolescent vapers by reasons for vaping is important to understand adolescent vaping behavior and to identify those most at risk for other substance use. Methods: Monitoring Future data from 2015 and 2016 were used in a latent class analysis to identify subgroups of 12th graders based on their endorsement of 10 potential reasons for vaping. Multinomial regression with a latent class outcome was used to predict class membership. Results: Three distinct classes of vapers were identified: adolescents who were (1) Vaping to Experiment (29.4%), (2) Vaping to Replace Cigarettes (7.3%), and (3) Vaping for Taste + Entertainment (63.4%). Vaping only flavors was associated with lower odds of membership and cigarette use was associated with higher odds of membership in the Vaping to Replace Cigarettes subgroup, and marijuana was associated with lower odds of membership in the Vaping to Experiment subgroup, compared with the Vaping for Taste + Entertainment subgroup. Conclusions: This study identified multiple subgroups of vapers based on reasons for vaping. Whereas a small subgroup vaped for reasons related to cigarette use, most adolescent vapers reported vaping for reasons unrelated to cigarette use. There were considerable differences in primary reasons for vaping and risk for traditional cigarette and other substance use, suggesting different intervention strategies may be needed for different subgroups of vapers.

© 2017 Society for Research on Adolescence. Despite a growing literature on college students' sexual behaviors, little is known about how sexual behaviors, and their associations with alcohol, differ for college and noncollege attenders, and whether these patterns represent changes during college or an extension of pre-college behaviors. This paper applied time-varying effect models to data from the National Longitudinal Study of Adolescent to Adult Health to examine (1) prevalence of four sexual behaviors from ages 14 to 24 and (2) how their association with frequent heavy episodic drinking varied across these ages for college and noncollege attenders. Nonattenders have higher prevalence of all sexual behaviors than college attenders across most ages; however, the association between heavy episodic drinking and sexual behaviors is stronger for college attenders during ages 18-20.