Trends in Driving Under the Influence of Alcohol and Cannabis Among Young Adults in Washington State From Before to During the COVID-19 Pandemic.

Objectives. To examine trends in young adult self-reported driving under the influence of alcohol (DUI-A), cannabis (DUI-C), and simultaneous alcohol and cannabis use (DUI-AC) in a state with legalized nonmedical cannabis use from before to during the COVID-19 pandemic. Methods. We used logistic regression and annual statewide data from the Washington Young Adult Health Survey to assess DUI behaviors from 2016 to 2021. Results. Both prepandemic yearly changes in prevalence and deviations from those trends during the pandemic years were small and not statistically significant. However, prevalence estimates were alarming: 12.0% of participants reported DUI-A, 12.5% reported DUI-C, and 2.7% reported DUI-AC. Exploratory moderation analyses indicated a relative increase in DUI-A during 2020 among 4-year college students relative to young adults not attending 4-year colleges. Conclusions. Young adults in Washington State continued to engage in risky DUI behaviors during the pandemic. College students may have increased their likelihood of DUI-A during COVID-19. Public Health Implications. Young adults, for whom vehicle crashes remain a leading cause of death, showed little change in DUI behaviors during the COVID-19 pandemic. There is continued need for young adult DUI prevention efforts. (Am J Public Health. 2024;114(S8):S698-S701. https://doi.org/10.2105/AJPH.2024.307767).

Young Adult Alcohol and Cannabis Impaired Driving After the Opening of Cannabis Retail Stores in Washington State.

Motor vehicle crashes are a leading cause of death for young adults (YA) in the USA, and driving under the influence of alcohol (DUIA), cannabis (DUIC), and simultaneous use of both substances (DUIAC) are prominent risk factors. Trends in YA impaired driving behaviors after opening of cannabis retail stores have been understudied. We examined YA trends in DUIA, DUIC, and DUIAC from immediately prior through 5 years following the opening of cannabis retail outlets in Washington State (2014-2019). Differences in trends were assessed across age, sex, and urbanicity. Weighted logistic regressions assessed yearly change in prevalence of DUIA, DUIC, and DUIAC from 2014 to 2019, using annual statewide data from the Washington Young Adult Health Survey (n = 12,963; ages 18-25). Moderation of trends by age, sex, and urbanicity was assessed. Prevalence of DUIA decreased overall (AOR = 0.93, 95% CI 0.90, 0.97) and among drinkers (AOR = 0.95, 95% CI 0.91, 0.99) but remained at concerning levels in 2019 (10% overall; 16% among drinkers). Overall DUIC did not change significantly (AOR = 0.99, 95% CI 0.96, 1.03; 11% by 2019) but decreased among those who used cannabis (AOR = 0.91, 95% CI 0.86, 0.96; 33% by 2019). DUIAC decreased but not significantly (overall: AOR = 0.89, 95% CI 0.78, 1.01; those who used alcohol and cannabis: AOR = 0.84, 95% CI 0.74, 1.04). Prevalence of YA DUI remained concerning. Trends may reflect some success in reducing DUI, but additional detection and prevention are needed.

Associations Between Positive Childhood Experiences and Adult Smoking and Alcohol Use Behaviors in a Large Statewide Sample.

Childhood experiences are linked to myriad indices of health and wellbeing in adulthood, including substance use behaviors. Increasingly, there has been a paradigm shift in prevention science focused on healthy outcomes of positive experiences. The current study examined associations between retrospective reports of positive childhood experiences and patterns of smoking and alcohol use in adulthood. Data were from the 2019 Montana Behavioral Risk Factor Surveillance System survey (N = 6,495; Mage = 55.9 years; 49% male as assigned at birth). Outcomes examined with regard to positive childhood experiences included lifetime smoking (> 100 cigarettes), current smoking status, and past-month alcohol use indices (i.e., total drinks, typical quantity, heavy episodic drinking, and peak drinking occasion). Positive childhood experience scores were inversely associated with both smoking outcomes (AORs = 0.66 and 0.61). Curiously, positive childhood experiences were positively associated with any past-month alcohol use (AOR = 1.12), but among respondents who did use alcohol in the past month, positive childhood experiences were inversely associated with all indices of alcohol use patterns: total drinks (CR = 0.94), drinks per occasion (CR = 0.95), heavy episodic occasions (AOR = 0.91), and peak drinking (AOR = 0.95). Findings generally indicated that positive childhood experiences may be protective against cigarette and high-risk alcohol use behaviors in adulthood. Item-by-item analyses identified specific childhood experiences that may be particularly protective, which may inform prevention efforts and policy (prevention recommendations are discussed below).

Substance-Specific Risk Factors for Cannabis and Alcohol Use Among Young Adults Following Implementation of Nonmedical Cannabis Legalization.

Laws regarding cannabis are rapidly changing in the USA as more states legalize nonmedical cannabis for adults aged 21 and older. Previous research has examined whether legalization has led to an increase in cannabis use as well as the use of other substances. The current study examined changes in cannabis- and alcohol-specific risk factors following legalization of nonmedical cannabis. We used 6 years of annual cross-sectional data (2014-2019) from 12,951 young adults age 18 to 25 who resided in Washington state. Risk factors examined include perceiving that use was common among same-age peers, believing use was acceptable, having easy access, and low perceived physical and psychological harm from use. Logistic regression models estimated annual rate of increase in these risk factors. All cannabis-specific risk factors increased among those aged 21+ (range of ORs for annual rate of change: 1.07-1.31) while significant increase in cannabis-related risk factors among those under age 21 was limited to perceptions of cannabis use being common (medical use: OR=1.08, 95% CI: 1.03, 1.12; nonmedical use: OR=1.13, 95% CI: 1.08, 1.18) and low perceived physical harm of occasional use (OR=1.08, 95% CI: 1.03, 1.13). Although descriptive norms for past-year use of alcohol among those aged 21+ increased (OR = 1.09, 95% CI: 1.02, 1.17), other risk factors for alcohol did not change significantly or, in the case of low perceived physical and psychological harm, decreased among both those under age 21 and those aged 21+ (range of ORs = 0.90-0.94). Given these findings show an increase in cannabis-specific risk factors since legalization was implemented, particularly among those young adults aged 21+, preventive interventions correcting risk misperceptions and related risk factors among young adults aged 21+ may prove efficacious in reducing use and resultant negative consequences.

Assessing Adolescent Vaping Norms and Perceptions in a Statewide Multi-Community Project.

Background: Adolescent e-cigarette use has increased dramatically in recent years and is quickly becoming a serious public health issue. While studies have identified the influence of social norms on the use of traditional cigarettes, few have examined these factors in the context of e-cigarettes and other vaping devices. Objective: The goal of this study was to examine social norms predictors of past 30-day e-cigarette use among high school students in 10 communities located in Minnesota. Results: In our sample (N = 3,285), students who believe most students in their school vape daily are more likely to have vaped in the past 30 days than those who believe most students vape weekly or less frequently. Further, students were likely to have used e-cigarettes in the past 30 days if they perceived that most students approved of vaping (i.e., they disagreed with the statement that, "vaping is not a good thing for anyone their age to do"). Findings from this study highlight social norms related to perceptions that increase the likelihood of past 30-day e-cigarette use. Conclusions: Results from this study lend themselves to norms-based prevention science strategies that are critical to reducing e-cigarette use among high school students.

Cannabis Use Among Young Adults in Washington State After Legalization of Nonmedical Cannabis.

Objectives. To examine changes in prevalence of cannabis use and of cannabis use disorder symptomatology among young adults from 2014 to 2019 in Washington State, where nonmedical (or "recreational") cannabis was legalized in 2012 and retail stores opened in July 2014. Methods. We used 6 years of cross-sectional data collected annually from 2014 (premarket opening) to 2019 from 12 963 (∼2000 per year) young adults aged 18 to 25 years residing in Washington. Logistic regression models estimated yearly change in prevalence of cannabis use at different margins and related outcomes. Results. Prevalence of past-year, at least monthly, at least weekly, and daily use of cannabis increased for young adults, although increases were driven by changes among those aged 21 to 25 years. There was also a statistically significant increase in prevalence of endorsing at least 2 of 5 possible symptoms associated with cannabis use disorder. Conclusions. Among young adults in Washington, particularly those of legal age, prevalences of cannabis use and cannabis use disorder symptomatology have increased since legalization. This trend may require continued monitoring as the nonmedical cannabis market continues to evolve. (Am J Public Health. 2022;112(4):638-645. https://doi.org/10.2105/AJPH.2021.306641).

Behavioral Willingness, Descriptive Normative Perceptions, and Prescription Stimulant Misuse among Young Adults 18-20.

Objective: It is critical to gain further understanding of etiologic factors, such as descriptive normative perceptions and behavioral willingness, that are associated with prescription stimulant misuse (PSM) among young adults. Our primary hypotheses were that descriptive normative perceptions for PSM (i.e., perceptions of how much and how often others engage in PSM) and perceived peer willingness (i.e., perceptions of how open others are to PSM under certain circumstances) would be positively associated with higher willingness to engage in PSM, which in turn would account for significant shared variance with self-reported PSM. Method: Data were collected from a U.S. sample of 18-20-year-olds (N = 1,065; 54.5% females; 70.5% White) recruited for a larger study on alcohol-related risky sexual behavior. Results: Findings indicated higher descriptive normative perceptions and higher perceived peer willingness were associated with higher participants' willingness to engage in PSM. Participants' own willingness was positively associated with PSM. Finally, participants' own willingness to use, descriptive normative perceptions, and perceived peer willingness were associated with higher willingness to engage in PSM, which accounted for significant shared variance with self-reported PSM. Conclusions: Findings suggest the potential utility of personalized feedback interventions for PSM that focus on constructs such as descriptive normative perceptions and behavioral willingness.

A Marijuana Consequences Checklist for Young Adults with Implications for Brief Motivational Intervention Research.

Measures assessing marijuana-related consequences or problems experienced by young adults have typically been adapted from measures assessing alcohol consequences. These measures may not fully reflect the specific unwanted or perceived "not so good" effects of marijuana that are experienced by young adults. Thus, using these measures may present a gap, which needs to be addressed, given that reports of consequences are often utilized in brief motivational personalized feedback interventions. Data from three different studies of young adults were used to (1) examine self-reported "not so good" effects or consequences of marijuana use among frequent marijuana-using college students (Study 1), (2) create a new version of a marijuana consequences list and compare it to an existing marijuana consequences measure (Study 2), and (3) assess convergent and divergent validity between a finalized Marijuana Consequences Checklist (MCC, 26-items) and marijuana use and risk for cannabis use disorder (Study 3). The most frequently endorsed self-reported effects of marijuana included the impact on eating (the "munchies"), dry mouth, trouble concentrating, and acting foolish or goofy. Higher scores on the MCC were associated with more frequent use and a higher probability of meeting criteria for cannabis use disorder. The MCC represents a range of negative consequences of marijuana use derived from frequent users' own accounts and includes consequences not assessed by other measures. The MCC captures marijuana-specific negative consequences relevant for young adults, which can be incorporated in brief motivational personalized feedback interventions.

An International Comparison of a Web-Based Personalized Feedback Intervention for Alcohol use During the Transition out of High School in the United States and Sweden.

Young adult drinkers engage in a range of drinking patterns from abstaining to heavy drinking in both the United States and Sweden. Heavy drinking during young adulthood in both countries is associated with a variety of negative consequences. Personalized feedback interventions have been identified as effective prevention strategies to prevent or reduce heavy drinking in the United States. This study examined transitions in drinking profiles and compared the efficacy of a personalized feedback intervention for 3965 young adults in the United States (1,735) and Sweden (2230) during their transition out of high school. Using goodness-of-fit criteria, results indicated that three drinking profiles exist among young adults transitioning out of high school: very low drinkers/abstainers, moderate to heavy drinkers, and very heavy drinkers. Latent Markov models revealed a moderating effect of country on personalized feedback intervention such that intervention condition participants in the United States were more likely to belong to the light drinker/abstainer or moderate to heavy profile relative to the very heavy drinking profile at 6-month follow-up. There was no significant effect of personalized feedback intervention in Sweden. Future research could investigate the impact of when personalized feedback interventions are administered and could examine if personalized feedback interventions should be more intentionally culturally adapted in order to be more effective.

Patterns, Consequences, and Motives in Simultaneous Use of Prescription Stimulant Medication with Alcohol and Marijuana.

OBJECTIVE: Nonmedical use of prescription stimulants (NPS) continues to be a concern on college campuses. Previous research demonstrates a strong link between NPS and use of other substances, particularly alcohol and marijuana among college students. Simultaneous use of NPS with other substances has become an increasing concern. Given the high rates of NPS and simultaneous NPS with other substances, research examining substance use patterns and motives among students is warranted. Method: This study evaluated group differences in alcohol and marijuana use patterns, consequences, and motives among college students: a) with no NPS history (No NPS); b) engaged in NPS with no simultaneous use (Non-Sim NPS); and c) engaged in simultaneous NPS with alcohol and/or marijuana (Sim NPS). Participants included 1,108 students from three universities who reported past-year marijuana and alcohol use. Results: Overall, 32.8% reported lifetime NPS with 12.5% indicating NPS in the previous 3 months, of which 51.1% reported simultaneous NPS with alcohol and 40.2% with marijuana. Significant group differences for all drinking and marijuana outcomes were found, with heaviest rates among the Sim NPS group, followed by the Non-Sim NPS group, and the No NPS group. The Sim NPS group reported greater motives for using marijuana to alter the effects of other substances. Conclusions: College students engaged in simultaneous NPS with alcohol and marijuana are a high-risk group that should be the focus of prevention and intervention programs in the campus setting.

Nonmedical Use of Prescription Stimulants as a "Red Flag" for Other Substance Use.

BACKGROUND: Nonmedical use of prescription stimulants (NMPS) has increased on college campuses during the past two decades. NMPS is primarily driven by academic enhancement motives, and normative misperceptions exist as well. However, large, nationwide studies have not yet been conducted to generalize findings more broadly and gain a deeper understanding of the relationship between NMPS and other substance use (e.g. alcohol use, marijuana, etc.). The present study was conducted to lay the foundation for prevention efforts related to NMPS by establishing NMPS prevalence, practices surrounding NMPS, and other substance use. METHODS: N = 2,989 students from seven universities around the U.S. completed a web-based survey assessing NMPS practices and related behaviors. Prevalence and factors associated with NMPS were explored. RESULTS: Analyses revealed a 17% past-year prevalence of NMPS with associated widespread misperceptions of peer use. NMPS was significantly related to alcohol use, binge drinking, and marijuana use, as well as skipped classes and affiliation with Greek life. CONCLUSIONS: Although most college students do not report NMPS, those who do also are more likely to report alcohol use, binge drinking, and marijuana use, and NMPS could be a "red flag" for other risk behaviors worth exploring. Implications for prevention and intervention are discussed.

Simultaneous Alcohol and Marijuana Use Among College Students: Patterns, Correlates, Norms, and Consequences.

BACKGROUND: Alcohol and marijuana users often engage in simultaneous alcohol and marijuana (SAM) use (i.e., using the 2 substances together so that their effects overlap), which can result in more negative consequences than using either substance alone. Nevertheless, little is known about SAM use among contemporary college students to aid in the development of preventive interventions. This study examined SAM use patterns, demographic correlates of SAM use, and normative influences on SAM use and related negative consequences among college students. METHODS: Students who had used alcohol and marijuana in the past year were recruited from 3 state universities in states with different laws regarding recreational marijuana use (N = 1,389). They completed an online survey, which assessed their own alcohol, marijuana, and SAM use and related consequences, their perceptions of the proportion of same-gender peers and close friends who engaged in SAM use, marijuana access, and demographic characteristics. RESULTS: About three-fourths of participants reported at least 1 occasion of SAM use in the past year with an average frequency of twice per month among SAM users. There were significant differences in SAM use prevalence and frequency by sociodemographic characteristics controlling for past-year alcohol and marijuana frequency. Students in a state with decriminalized recreational marijuana use reported higher frequency of past-year SAM use than students in states with legalized or criminalized use. There were significant demographic differences in perceived norms regarding SAM use among close friends and same-gender peers. SAM users endorsed significantly higher perceived peer and friend norms than nonusers. Also, higher perceived norms predicted more frequent SAM use and more negative consequences of use. CONCLUSIONS: Results indicate a need for prevention programs on college campuses that address SAM use. Interventions that use personalized normative feedback may be effective.

Impacts of Changing Marijuana Policies on Alcohol Use in the United States.

BACKGROUND: Marijuana policies are rapidly evolving. In the United States, recreational use of marijuana is now legal in 4 states and medical marijuana is legal in 23 states. Research evaluating such policies has focused primarily on how policies affect issues of price, access to, use, and consequences of marijuana. Due to potential spillover effects, researchers also need to examine how marijuana policies may impact use and consequences of alcohol. METHODS: The current paper is a critical review of articles evaluating alcohol outcomes associated with marijuana decriminalization, medical marijuana legalization, and nonmedical or recreational marijuana legalization. We identified articles and reports through (1) online searches of EBSCO host database including Academic Search Premier, Econlit, Legal Collection, Medline, PsycARTICLES, and PsycINFO, as well as PubMed and Google Scholar databases; (2) review of additional articles cited in papers identified through electronic searches; and (3) targeted searches of state and local government records regarding marijuana law implementation. We reviewed studies with respect to their data sources and sample characteristics, methodology, and the margin of alcohol and marijuana use, timing of policy change, and the aspects of laws examined. RESULTS: The extant literature provides some evidence for both substitution (i.e., more liberal marijuana policies related to less alcohol use as marijuana becomes a substitute) and complementary (i.e., more liberal marijuana policies related to increases in both marijuana and alcohol use) relationships in the context of liberalization of marijuana policies in the United States. CONCLUSIONS: Impact of more liberal marijuana policies on alcohol use is complex, and likely depends on specific aspects of policy implementation, including how long the policy has been in place. Furthermore, evaluation of marijuana policy effects on alcohol use may be sensitive to the age group studied and the margin of alcohol use examined. Design of policy evaluation research requires careful consideration of these issues.

College Students' Perceptions of Depressed Mood: Exploring Accuracy and Associations.

College is a time of high risk for depressed mood. Theories about depression (i.e. Cognitive Theory and Depressive Realism theory) are well researched, but suggest different venues of understanding the cognitive underpinnings of mood. In addition, much research is available about normative perceptions around substance use and how those perceptions relate to behaviors. However, there are no studies examining normative perceptions around depressed mood nor how these perceptions may relate to students' own well-being. Undergraduates (N=1577) ages 18-24 responded to an online survey as part of a larger study on drinking and depressed mood. The survey assessed symptoms of depression and feelings of sadness, depression and suicidal ideation experienced in the past 2 weeks, as well as students' perceptions of the prevalence of these feelings among other students. Rates of sadness and depression reported in the sample were relatively high; whereas rates of reported suicidal ideation were low. Most students under-estimated the prevalence of sadness and depression experienced by other students; a finding that was especially true for male students. Conversely, most students over-estimated the prevalence of suicidal ideation. Students who reported experiencing a given feeling in the past two weeks perceived greater rates of the feeling among other students. Depression symptoms were associated with both greater perceived prevalence of sadness, depression and suicidal ideation, as well as correct and over-estimates of the prevalence of sadness and depression. Implications for future directions in prevention and interventions efforts are discussed.

"Seems I'm not alone at being alone:" contributing factors and interventions for drinking games in the college setting.

Alcohol use among college students is prevalent and sometimes takes the form of drinking games, in which players are required to drink in accordance with a set of pre-defined rules. Drinking games are typically associated with elevated alcohol consumption and risk to the individual. This perspective piece considers the potential role of social anxiety in motivating participation in drinking games, perceived norms surrounding drinking games (including ways they are portrayed and discussed in popular media), and the role of competitiveness. Implications for skills training-based prevention and intervention efforts are discussed.

Cross-Substance Associations With Transitions in Cannabis and Nicotine Use in a Statewide Sample of Young Adults in Washington State.

OBJECTIVE: Understanding transitions in nicotine and cannabis use has implications for prevention and efforts to reduce harmful use. Focusing on cross-substance associations, we examined how use of one substance was associated with year-to-year transitions in frequency of use of the other among young adults in the context of legalized nonmedical cannabis. METHOD: A statewide sample from Washington (N = 4,039; ages 18-25 at baseline) provided up to 3 years of annual data on past-month cannabis use and nicotine use (tobacco cigarettes and e-cigarettes/vaping). Manifest Markov models examined how use of each substance was associated with transitions in the other across categories of past-month no use, occasional use (1-19 days), and frequent use (≥20 days). RESULTS: Occasional and frequent nicotine use (vs. no use) predicted higher probability of transitioning from no cannabis use to occasional or frequent cannabis use and from occasional use to frequent use, whereas associations with cessation and de-escalation were inconsistent in direction, small in magnitude, and not statistically significant. Cannabis use positively predicted onset of nicotine use, and associations of cannabis use with escalation from occasional to frequent nicotine use, de-escalation in use, and cessation in use were small and inconsistent in direction. CONCLUSIONS: The findings corroborate prior research on cannabis and nicotine use as risk factors to address in prevention efforts. The findings do not provide strong support for prioritization of dual abstinence in efforts to encourage reductions in or cessation of cannabis or nicotine use among young adults.

Changes in Cannabis Use From 2014 to 2019 Among Young Adults in Washington State.

INTRODUCTION: Understanding changes in cannabis use in the legalized nonmedical cannabis context is critical. Washington State, one the earliest states to implement legalization, presents a unique opportunity to examine how cannabis use and its consequences changed after the implementation of legalization for adults. With a focus on Washington State young adults, this study conducted in 2022-2023 examined changes in (1) cannabis use by sex and age, (2) preferred mode of use, and (3) cannabis use disorder symptoms. METHODS: Using repeated cross-sectional data on young adults aged 18-25 years in Washington State from 2014 (premarket opening) to 2019 (N=12,945), logistic regression models assessed trends over time in the prevalence of any and frequent (20+ days) past-month cannabis use. Among individuals reporting use, multinomial logistic regressions estimated trends over time in the preferred mode of use and negative binomial regressions examined trends in the count of cannabis use disorder symptoms. RESULTS: From 2014 to 2019, the prevalence of cannabis use converged by sex, with females being equally likely as males to report both any and frequent use by 2019. Among young adults reporting past-month use, smoking as the preferred mode of use decreased relative to other modes. Number of cannabis use disorder symptoms reported increased, which was not accounted for by changes in preferred mode of use. CONCLUSIONS: During the 5-year period following the implementation of legalization, patterns of young adult cannabis use shifted, including particularly sharp increases among females and increases in cannabis use disorder symptoms. Future studies should investigate underlying causes for these important changes.

Age-related Changes in Past-Month Alcohol, Cannabis, and Simultaneous Use in a Statewide Sample of Young Adults in Washington State.

OBJECTIVE: It is unknown whether age-related decreases in substance use (maturing out) are observed in the legalized cannabis context. This study evaluated age-related changes in past-month alcohol use frequency, cannabis use frequency, and any simultaneous alcohol and marijuana/cannabis (SAM) use among young adults who engaged in the respective substance use behavior. METHOD: Young adults, residing in Washington State at enrollment (N=6,509; 68.3% female; ages 18-25), provided 3-5 years of annual data in a longitudinal, cohort-sequential design from 2015 to 2019, a period after nonmedical cannabis was legalized and implemented. Multilevel growth models were conducted; post-stratification weights were applied to make the sample more similar to the Washington young adult general population in demographic characteristics. RESULTS: Among those who reported alcohol use at 1+ timepoints, days of alcohol use increased from age 18 to approximately age 25 and then decreased until age 30. Among those who reported cannabis use at 1+ timepoints, days of cannabis use increased from age 18 until approximately age 23 and then decreased until age 30. Among those who reported SAM use at 1+ timepoints, the probability of SAM use increased from age 18 until approximately age 24 and then decreased until age 30. Age-related changes in SAM use were largely explained by concurrent changes in alcohol and cannabis use frequency. CONCLUSIONS: Maturing out was observed for alcohol, cannabis, and SAM use among those who used each respective substance, with evidence that age-related changes in SAM use were tied to alcohol and cannabis use frequency.

Prom, graduation and parties: Alcohol use and normative perceptions among high school seniors during specific events.

BACKGROUND: Previous research has shown that a majority of adolescents in the United States initiate and drink alcohol prior to graduating high school and nearly twenty percent of high school seniors engage in heavy episodic drinking. Despite anecdotal evidence and media portrayals of alcohol use during high school events (e.g., prom), little is understood about alcohol use surrounding specific events that may be identified as "high-risk" events and addressed in specific interventions. Similarly, normative perceptions exert powerful influence on behaviors but little is understood about normative perceptions of alcohol use at high school events. OBJECTIVES: The purpose of the present study was to understand whether high school alcohol use is associated with specific events by describing behaviors and normative perceptions. METHODS: Participants were 386 U.S. college students age 18 to 19 (60.4 % female, mean age = 18.4) who provided retrospective accounts of their alcohol use surrounding senior year high school events (either before, which is relevant to pregaming addressed in this special issue, during, or after). RESULTS: Most students did not drink surrounding high school events but nearly all reported that they perceived that the typical high school senior did. Those who did drink alcohol tended to drink heavily, particularly during prom. Alcohol use was associated with other high school events ranging from the beginning of senior year (e.g., Homecoming) though the end (e.g., graduation parties) CONCLUSIONS: Results indicate the importance of future research efforts tailoring intervention efforts around specific events and the applicability of personalized normative feedback approaches.

Injunctive Norms and Driving Under the Influence and Riding With an Impaired Driver Among Young Adults in Washington State.

PURPOSE: Alcohol- and cannabis-impaired driving behaviors remain a public health concern especially among young adults (i.e., ages 18-25). Limited updates to prevention efforts for these behaviors may be due, in part, to limited understanding of malleable psychosocial predictors. The current study assessed associations between perceived injunctive norms (i.e., acceptability) of driving under the influence of alcohol (DUI-A) and cannabis (DUI-C), and riding with a driver under the influence of alcohol (RWI-A) and cannabis (RWI-C) in Washington State young adults. METHODS: Participants included 1,941 young adults from the 2019 cohort of the Washington Young Adult Health Survey. Weighted logistic regressions assessed the associations between peer injunctive norms and impaired driving-related behaviors. RESULTS: A weighted total of 11.5% reported DUI-A, 12.4% DUI-C, 10.9% RWI-A, and 20.9% RWI-C at least once in the past 30 days. Overlap between the outcomes was observed, indicating some young adults had engaged in multiple impaired driving-related behaviors. After controlling for substance use frequency, weighted logistic regressions indicated more positive perceived injunctive norms were associated with nearly 2 ½ times higher odds of DUI-A, 8 times higher odds of DUI-C, 4 times higher odds of RWI-A and six and a half times higher odds of RWI-C. DISCUSSION: Results increase the understanding of how injunctive norms-a potentially malleable psychosocial factor-are associated with four impaired driving-related outcomes. Prevention programs that focus on assessing and addressing the norms of these outcomes individually and collectively, such as normative feedback interventions and media campaigns, may be helpful in reducing these behaviors.