Youth Exposure to Recreational Cannabis Legalization: Moderation of Effects by Sex and Parental Cannabis Use during Adolescence.

OBJECTIVE: Few studies of recreational cannabis legalization (RCL) have assessed adolescents both before and after RCL or considered moderators of RCL effects. The present study tested whether RCL was more strongly associated with cannabis use for girls and among youth whose parents had a history of cannabis use during adolescence. METHOD: Data were pooled from 940 adolescents from three intergenerational studies that began in Washington (where RCL was enacted in 2012), Oregon (RCL year = 2015), and New York (RCL year = 2021). Youth were assessed repeatedly from ages 13 to 18 years (k = 3,650 person-years) from 1999 to 2020 (prior to RCL in New York). Parent cannabis use at or before age 18 years (yes/no) was assessed prospectively during the parent's adolescence. Multilevel models focused on the between-subjects effects of years of youth exposure to RCL on adolescents' mean cannabis use likelihood, and interactions with child sex and parent use history. RESULTS: Child exposure to RCL was associated with a higher likelihood of cannabis use if their parents had a history of adolescent use, (Estimate [SE] = 0.67 [0.25], p = 0.008), versus no such history (Estimate [SE] = -0.05 [0.28], p = 0.855). RCL effects were not moderated by child sex. CONCLUSIONS: The effects of RCL on adolescents' cannabis use may depend on their parents' history of using the drug. Identifying other moderators of RCL effects, and understanding the mechanisms of these risks and the ways that parents and communities can offset them, are prevention priorities.

(1) Adolescents' use of cannabis may have intergenerational consequences, making it more likely their future offspring will use cannabis. (2) Whether or not recreational cannabis legalization influences adolescents' cannabis use may depend on their parents' cannabis use history. (3) Parenting in a state with liberalized cannabis policies may present new challenges and require that novel prevention resources be developed.

Long-term Effects of the Raising Healthy Children Intervention on Family Functioning in Adulthood: A Nonrandomized Controlled Trial.

Some universal prevention programs, such as Raising Healthy Children (RHC), have shown persisting and wide-ranging benefits in adulthood, long after the intervention has ended. Recent studies suggest that benefits may continue into the next generation as well. This study examines whether the RHC intervention, delivered in childhood, may promote healthy family functioning among participants who now have families of their own. Participants were drawn from the Seattle Social Development Project (SSDP), a nonrandomized controlled trial of the RHC intervention prospectively following youths from 18 elementary schools in Seattle, Washington from 1985 to 2014. Participants who became parents were enrolled in an intergenerational study, along with their oldest biological child and an additional caregiver who shared responsibility for raising the child. Ten waves of data were collected between 2002 and 2018. The present analysis includes 298 SSDP parents, 258 caregivers who identified as a parent or partner of SSDP parent ("co-parent"), and 231 offspring. The SSDP parent sample was composed of 41.6% male, 21.1% Asian or Pacific Islander, 24.2% Black or African American, 6.4% Native American, and 48.3% white individuals. No significant intervention effects were found on adult romantic relationship quality; offspring bonding to co-parent; or co-parent past-month use of cannabis, cigarettes, or binge drinking. Findings highlight the continued need to understand how the benefits of theory-guided universal preventive interventions are sustained across the life course and how they may or may not shape family functioning for those who go on to have families and children of their own.ClinicalTrials.gov Identifier: NCT04075019.

Alcohol-Tolerant Workplace Environments Are a Risk Factor for Young Adult Alcohol Misuse on and off the Job in Australia and the United States.

The workplace has been understudied as a setting for the prevention of young adult alcohol misuse. This study examined if alcohol-tolerant workplace environments are associated with greater risk for alcohol use and misuse on and off the job among young adults. Data were collected in 2014 from state-representative, sex-balanced samples (51% female) of 25-year-olds in Washington, U.S. (n = 751) and Victoria, Australia (n = 777). Logistic regressions indicated that availability of alcohol at work, absence of a written alcohol policy, and alcohol-tolerant workplace norms and attitudes were independently associated with a 1.5 to 3 times greater odds of on-the-job alcohol use or impairment. Alcohol-tolerant workplace norms were associated also with greater odds of high-risk drinking generally, independent of on-the-job alcohol use or impairment. Associations were mostly similar in Washington and Victoria, although young adults in Victoria perceived their workplaces to be more alcohol-tolerant and were more likely to use alcohol or be impaired at work and to misuse alcohol generally than young adults in Washington. Cross-nationally, workplace interventions that restrict the availability of alcohol, ban alcohol at work, and reduce alcohol-tolerant norms have the potential to prevent and reduce young adults' alcohol use and misuse on and off the job.

Testing Cross-Generational Effects of the Raising Healthy Children Intervention on Young Adult Offspring of Intervention Participants.

This study tested whether effects of a preventive intervention delivered in elementary school showed benefits for the young adult offspring of intervention recipients over 20 years later. The Raising Healthy Children (RHC) intervention, trialed in 18 public schools in Seattle, Washington, from 1980-1986 (grades 1-6), sought to build strong bonds to family and school to promote school success and avoidance of substance use and illegal behavior. Four intervention groups were constituted: full, late, parent training only, and control. Participants were followed through 2014 (age 39 years). Those who became parents were enrolled in an intergenerational study along with their oldest offspring (10 assessments between 2002 and 2018). This study includes young adult offspring (ages 18-25 years; n = 169; 52% female; 4% Asian, 25% Black, 40% multiracial, 4% Native American, 2% Native Hawaiian/Pacific Islander, 25% White, and 14% Hispanic/Latinx) of participants in the original RHC trial. Offspring outcome measures included high school noncompletion, financial functioning, alcohol misuse, cannabis misuse, cigarette use, criminal behavior, internalizing behavior, social skills, and social bonding. A global test across all young adult outcome measures showed that offspring of parents who received the full RHC intervention reported better overall functioning compared to offspring of control group parents. Analyses of individual outcomes showed that offspring of full intervention group parents reported better financial functioning than offspring of control group parents. Findings show the potential of universal preventive interventions to provide long-term benefits that reach into the next generation. ClinicalTrials.gov Identifier: NCT04075019; retrospectively registered in 2019.

The Potential for Prevention Science in Middle and Late Adulthood: a Commentary on the Special Issue of Prevention Science.

This commentary on the special issue of Prevention Science, "Toward a Lifespan Prevention Science: A Focus on Middle and Late Adulthood" reviews the studies included in the issue, compares findings, and makes recommendations for future directions in this emerging field. Articles in this issue addressed a number of the key elements of prevention science, including identifying proximal and distal risk and protective factors that play a role in middle and late adult health and well-being, providing preliminary evidence for a preventive intervention to moderate stress reactivity, and proposing a theoretical approach to preventing substance misuse across the lifespan. Our commentary centers around three critical areas for mid and later life prevention science: the importance of theory building, a focus on alcohol and its role in midlife health, and health disparities. Each of the articles in this issue touched on at least one of these areas. We conclude that a focus on prevention in mid and later life has strong potential, and further research is needed.

Effects of Cannabis Legalization on Adolescent Cannabis Use Across 3 Studies.

INTRODUCTION: Canada, Uruguay, and 18 states in the U.S. have legalized the use of nonmedical (recreational) cannabis for adults, yet the impact of legalization on adolescent cannabis use remains unclear. This study examined whether cannabis legalization for adults predicted changes in the probability of cannabis use among adolescents aged 13-18 years. METHODS: Data were drawn from 3 longitudinal studies of youth (spanning 1999-2020) centered in 3 U.S. states: Oregon, New York, and Washington. During this time, Oregon (2015) and Washington (2012) passed cannabis legalization; New York did not. In each study, youth average age was 15 years (total N=940; 49%-56% female, 11%-81% Black/African American and/or Latinx). Multilevel modeling (in 2021) of repeated measures tested whether legalization predicted within- or between-person change in past-year cannabis use or use frequency over time. RESULTS: Change in legalization status across adolescence was not significantly related to within-person change in the probability or frequency of self-reported past-year cannabis use. At the between-person level, youth who spent more of their adolescence under legalization were no more or less likely to have used cannabis at age 15 years than adolescents who spent little or no time under legalization. CONCLUSIONS: This study addresses several limitations of repeated cross-sectional studies of the impact of cannabis legalization on adolescent cannabis use. Findings are not consistent with changes in the prevalence or frequency of adolescent cannabis use after legalization. Ongoing surveillance and analyses of subpopulations are recommended.

Is e-cigarette use associated with better health and functioning among smokers approaching midlife?

INTRODUCTION: Many adult smokers have tried electronic cigarettes (e-cigarettes) as a less harmful alternative to combustible cigarettes. There is limited evidence, however, for the extent to which switching to e-cigarettes is associated with better health and functioning among nicotine users approaching their 40s-the beginning of midlife-when many health issues become more evident. This study examined the adoption of e-cigarette use ("vaping") among smokers in their 30s, and its association with diverse measures of healthy and successful aging at age 39. METHODS: Data were from the Seattle Social Development Project, a panel study of 808 diverse participants with high retention (88%-91%). A subsample of 156 who used combustible cigarettes (smoked) at age 30 and smoked or vaped at age 39 was selected for analysis. A measure of vaping frequency, relative to combustible cigarette use, was computed from self-reports of past-month vaping and smoking at age 39. Nine measures of health and functioning in the past year were computed at age 39, with nine corresponding measures at age 30. RESULTS: Among smokers at age 30, 36% adopted vaping some or all of the time by age 39. Higher relative vaping frequency was related to 4 of 9 outcomes examined, including significantly more exercise, more constructive engagement, better physical health, and higher SES at age 39, accounting for prior behaviors at age 30. CONCLUSIONS: Findings suggest that, among smokers in their 30s, replacing combustible cigarettes with vaping may be associated with key markers of healthy and successful aging to age 39.

Parent ENDS use predicts adolescent and young adult offspring ENDS use above and beyond parent cigarette use.

PURPOSE: Prior research has showed that parent combustible cigarette use predicts cigarette use among their offspring. This study used prospective longitudinal data from parents and offspring to test whether parent electronic nicotine delivery system (ENDS) use predicted a higher probability of ENDS use among their offspring. METHODS: Data were drawn from the Seattle Social Development Project - The Intergenerational Project (SSDP-TIP). Analyses included 295 families; 7% of parents were Native American/Alaskan Native, 18% were Asian American, 28% were African American, and 47% were European American. Multilevel modeling (in 2020) of data collected in 2015, 2016, and 2017 tested associations between parent self-reported ENDS use and concurrent self-reported ENDS use among offspring ages 10-25 years (53% female). Parent combustible cigarette use was controlled. Analyses also examined the role of parent and offspring perceptions of the safety of ENDS in predicting offspring ENDS use. RESULTS: About 12% of offspring and 8% of parents reported past-month ENDS use. Parent ENDS use predicted a higher probability of child ENDS use (Odds Ratio 5.68, p = .01), even after controlling parent past month cigarette use. Beyond parent nicotine product use, offspring perceptions of ENDS safety - but not parent perceptions of ENDS safety - contributed independently to offspring probability of past-month ENDS use. CONCLUSIONS: It is important for parents, health providers, and policymakers to focus on preventing ENDS use among offspring of parents who use ENDS.

Does Parents' Age at First Birth Moderate Intergenerational Continuity in Early-Onset Cannabis Use?

OBJECTIVE: The aims of this brief report were to examine the extent to which early onset of cannabis use by parents and their children, and intergenerational continuity in early-onset cannabis use by parents and children, differ as a function of parent age at birth of first child. METHOD: A total of 795 parent-child dyads (57% male parents and 49% male children) were compiled from three intergenerational studies: Oregon Youth Study-Three Generational Study (OYS-3GS), Rochester Youth Development Study and Rochester Intergenerational Study (RYDS-RIGS), and Seattle Social Development Project-The Intergenerational Project (SSDP-TIP). Parents and children identified as non-Hispanic White (29% and 22%, respectively), Black (55% and 47%), and Hispanic (8% and 11%). Early-onset cannabis use was defined as initiation at or before age 15. Time-varying effect models were fit to examine the research questions. RESULTS: Among parents, earlier initiation of cannabis use was associated with an earlier entry into parenthood. Moreover, parents' later age at first birth was predictive of a lower prevalence of early-onset cannabis use among their children. Last, regarding intergenerational continuity, parental early onset of cannabis use increased the likelihood of child early-onset use, but only among older parents (i.e., later age at first birth). CONCLUSIONS: We provide a nuanced examination of the associations between parental and child early-onset cannabis use as a function of parents' age at first birth and describe a novel approach to incorporating parent's age at first birth into models of intergenerational continuity.

The role of electronic cigarette use for quitting or reducing combustible cigarette use in the 30s: Longitudinal changes and moderated relationships.

BACKGROUND: Evidence for use of electronic cigarettes (e-cigs) as a potential aid in quitting or reducing combustible cigarette (c-cig) use is mixed. This study examined the extent to which e-cig initiation among smokers in their 30 s predicted quitting or reducing smoking or nicotine dependence symptoms by age 39, and whether the role of e-cigs in quitting differed by prospectively assessed moderators. METHODS: Data were from the Seattle Social Development Project (SSDP), a panel study of 808 diverse participants with high retention. A subsample of 221 smokers at age 33 was selected for analysis. Self-reports of c-cig use and dependence were assessed longitudinally at ages 33 and 39. Sixteen potential moderators were examined, including social demographics, smoking attitudes and desire to quit, other health behaviors and status, and adolescent and early adult assessments of smoking history. RESULTS: The use of e-cigs was consistently associated with a lower likelihood of quitting c-cigs by age 39, after accounting for frequency of prior c-cig use at age 33. This negative association persisted across all moderators examined, although it was nonsignificant among those with a definite desire to cut down. Among those who did not quit smoking, e-cig use had no association with decreases in either quantity of c-cigs used or dependence symptoms. CONCLUSIONS: Results indicate that e-cigarette use was not helpful for quitting or reducing combustible cigarette use in the 30 s. Rather, across extensive tests of moderation, e-cig initiation consistently predicted less quitting during this important age period for successful cessation.

Longitudinal Consequences of Adolescent Alcohol Use Under Different Policy Contexts in Australia and the United States.

OBJECTIVE: To test the premise that youth alcohol harm minimization policies (compared with abstinence policies) reduce later drinking and harmful consequences of alcohol use in young adulthood, we compared associations among adolescent alcohol use, young adult alcohol consumption, and alcohol-related harms in Victoria, Australia and Washington State, United States. METHOD: Data came from the International Youth Development Study, a longitudinal, cross-national study of the development of substance use. State-representative samples of seventh-grade (age 13) students in Victoria (n = 984, 53% female, 90% White) and Washington (n = 961, 54% female, 73% White) were surveyed in 2002, 2003, 2004, and 2014 (age 25). Participants self-reported alcohol initiation by age 15 and age 25 alcohol consumption (per the Alcohol Use Disorders Identification Test). Path modeling tested associations among age 15 alcohol use, age 25 consumption, and alcohol-related harms at age 25; multiple group modeling tested the equivalence of parameter estimates across states. RESULTS: Age 25 alcohol consumption was lower in Washington versus Victoria and was associated with poor physical and mental health, partner conflict, substance use, criminal behavior, and violence exposure in both states equally. Living in Washington predicted lower levels of multiple alcohol-related harms at age 25 indirectly via lower age 25 alcohol consumption. CONCLUSIONS: Young adults growing up in Victoria reported greater alcohol consumption in young adulthood, which was associated to the same degree with the harms measured regardless of alcohol policy context. Findings support state-level policies that promote alcohol abstinence in adolescence and reduced consumption in young adulthood.

Adult Social Environments and the Use of Combustible and Electronic Cigarettes: Opportunities for Reducing Smoking in the 30s.

INTRODUCTION: Reducing cigarette use is a major public health goal in the United States. Questions remain, however, about the potential for the social environment in the adult years-particularly in the 30s and beyond-to influence cigarette use. This study tested pathways hypothesized by the social development model to understand the extent to which social environmental factors at age 33 (eg, involvement with smokers or with physically active people) contribute to changes in cigarette use from age 30 to age 39. Both combustible and electronic cigarette use were investigated. METHODS: Data were from the Seattle Social Development Project, a longitudinal study of 808 diverse participants with high retention. Self-reports assessed social developmental constructs, combustible and electronic cigarette use, and demographic measures across survey waves. RESULTS: At age 30, 32% of the sample reported past-month cigarette use. Using structural equation modeling, results showed high stability in cigarette use from age 30 to 39. After accounting for this stability, cigarette-using social environments at age 33 predicted personal beliefs or norms about smoking (eg, acceptability and social costs), which in turn predicted combustible cigarette use at age 39. Cigarette-using environments, however, directly predicted electronic cigarette use at age 39, with no significant role for beliefs about smoking. CONCLUSIONS: Cigarette use was highly stable across the 30s, but social environmental factors provided significant partial mediation of this stability. Pathways were different for combustible and electronic cigarette use, however, with personal smoking norms playing an important role for the former but not the latter. IMPLICATIONS: This study addresses the need for longitudinal investigation of social mechanisms and cigarette use in the 30s. Findings reinforce efforts to prevent the uptake of cigarettes prior to the 30s because, once started, smoking is highly stable. But social environmental factors remain viable intervention targets in the 30s to disrupt this stability. Addressing personal norms about smoking's acceptability and social costs is likely a promising approach for combustible cigarette use. Electronic cigarettes, however, present a new challenge in that many perceived social costs of cigarette use do not readily translate to this relatively recent technology.

E-cigarette use is associated with subsequent cigarette use among young adult non-smokers, over and above a range of antecedent risk factors: a propensity score analysis.

BACKGROUND AND AIMS: There is a public health concern that the use of e-cigarettes among non-smoking young adults could be associated with transition to combustible cigarette use. The current study is a quasi-experimental test of the relationship between e-cigarette use and subsequent combustible cigarette use among young adult non-smokers, accounting for a wide range of common risk factors. DESIGN: Logistic regression was used to predict combustible cigarette use on three or more occasions at age 23 years based on age 21 e-cigarette use. Inverse probability weighting (IPW) was used to account for confounding variables. SETTING: Data were drawn from the Community Youth Development Study (CYDS), a cohort study of youth recruited in 2003 in 24 rural communities in seven US. states PARTICIPANTS: Youth in the CYDS study (n = 4407) were surveyed annually from ages 11 to 16, and at ages 18, 19, 21 and 23 years (in 2016). The sample was gender balanced (50% female) and ethnically diverse (20% Hispanic, 64% white, 3% black and 12% other race or ethnicity). The current study was limited to participants who had never used combustible cigarettes by age 21 (n = 1825). MEASUREMENTS: Age 21 use of e-cigarettes and age 23 use of combustible cigarettes (three or more occasions) were included in the regression analysis. Age 11-19 measures of 22 common predictors of both e-cigarette and combustible cigarette use (e.g. pro-cigarette attitudes, peer smoking, family monitoring) were used to create IPWs. FINDINGS: After applying IPW, e-cigarette use at age 21 was associated with a twofold increase in odds of combustible cigarette use on three or more occasions 2 years later (odds ratio = 2.16, confidence interval 1.23, 3.79). CONCLUSIONS: Among previously never-smoking US young adults, e-cigarette use appears to be strongly associated with subsequent combustible cigarette smoking, over and above measured preexisting risk factors.

Evaluating the effect of retail marijuana legalization on parent marijuana use frequency and norms in U.S. States with retail marijuana legalization.

OBJECTIVES: To examine post-retail marijuana legalization (RML) change in marijuana use frequency and pro-marijuana norms among parents. METHODS: The Intergenerational Study, a longitudinal panel of parents (N = 668) and children, followed participants from 2002 to 2018, when parents were 27 and 43 years old, respectively. Three quarters of participants (74%) lived in an RML state and 142 (21%) had used marijuana in the 8 years prior to RML. Piecewise growth modelling compared pre- and post-RML slopes of use frequency and pro-marijuana norms. RESULTS: Frequency of use and pro-marijuana norms increased following legalization in both RML and non-RML states, though norms rose significantly faster in RML states. Growth in use was primarily driven by new users of marijuana. There were no differences in frequency of marijuana use or pro-marijuana norms by race/ethnicity, gender, or education. CONCLUSIONS: An increase in marijuana use frequency associated with RML among parents poses risk to both parents' well-being and the health of their children. A faster pace of increase in pro-marijuana norms in RML states may signal continued increases in use in the future.

Marijuana Legalization and Youth Marijuana, Alcohol, and Cigarette Use and Norms.

INTRODUCTION: Rates of adolescent substance use have decreased in recent years. Knowing whether nonmedical marijuana legalization for adults is linked to increases or slows desirable decreases in marijuana and other drug use or pro-marijuana attitudes among teens is of critical interest to inform policy and promote public health. This study tests whether nonmedical marijuana legalization predicts a higher likelihood of teen marijuana, alcohol, or cigarette use or lower perceived harm from marijuana use in a longitudinal sample of youth aged 10-20 years. METHODS: Data were drawn from the Seattle Social Development Project-The Intergenerational Project, an accelerated longitudinal study of youth followed both before (2002-2011) and after nonmedical marijuana legalization (2015-2018). Analyses included 281 youth surveyed up to 10 times and living in a state with nonmedical marijuana legalization between 2015 and 2018 (51% female; 33% white, 17% African American, 10% Asian/Pacific Islander, and 40% mixed race or other). RESULTS: Multilevel modeling in 2019 showed that nonmedical marijuana legalization predicted a higher likelihood of self-reported past-year marijuana (AOR=6.85, p=0.001) and alcohol use (AOR 3.38, p=0.034) among youth when controlling birth cohort, sex, race, and parent education. Nonmedical marijuana legalization was not significantly related to past-year cigarette use (AOR=2.43, p=0.279) or low perceived harm from marijuana use (AOR=1.50, p=0.236) across youth aged 10-20 years. CONCLUSIONS: It is important to consider recent broad declines in youth substance use when evaluating the impact of nonmedical marijuana legalization. States that legalize nonmedical marijuana for adults should increase resources for the prevention of underage marijuana and alcohol use.

Outcomes of Childhood Preventive Intervention Across 2 Generations: A Nonrandomized Controlled Trial.

Importance: Trials of preventive interventions for children that were implemented in the 1980s have reported sustained positive outcomes on behavioral and health outcomes into adulthood, years after the end of the intervention. This present study examines whether intervention in childhood may show sustained benefits across generations. Objective: To examine possible intervention outcomes on the offspring of individuals (now parents) who participated in the Raising Healthy Children preventive intervention as children in the elementary grades. Design, Setting, and Participants: This nonrandomized controlled trial was conducted in public elementary schools serving high-crime areas in Seattle, Washington. The panel originated in Seattle but was followed up locally and in out-of-state locations over time. Data analyzed in this study were collected from September 1980 to June 2011, with follow-up of the firstborn offspring (aged 1 through 22 years) of 182 parents who had been in the full intervention vs control conditions in childhood. Their children were assessed across 7 waves in 2 blocks (2002-2006 and 2009-2011). Data were analyzed for this article from September 2018 through January 2019. Interventions: In grades 1 through 6, the Raising Healthy Children intervention provided elementary school teachers with methods of classroom management and instruction, first-generation (G1) parents with skills to promote opportunities for children's active involvement in the classroom and family, and second-generation (G2) child with social and emotional skills training. Main Outcomes and Measures: Outcomes examined in the third-generation (G3) offspring were self-regulation (emotion, attention, and behavioral regulation), cognitive capabilities, and social capabilities. Risk behaviors, including substance use and delinquency, were examined from age 6 years to study completion. Early onset of sexual activity was examined from age 13 years to study completion. Intent-to-treat analyses controlled for potential confounding factors. Results: A total of 182 G3 children were included in this analysis (72 in the full intervention and 110 in the control condition; mean age at first wave of data collection, 7 [range, 1-13] years). Significant differences in the offspring of intervention parents were observed across 4 domains: improved early child developmental functioning (ages 1-5 years; significant standardized ß range, 0.45-0.56), lower teacher-rated behavioral problems (ages 6-18 years; significant standardized ß range, -0.39 to -0.46), higher teacher-rated academic skills and performance (ages 6-18 years; significant standardized ß range, 0.34-0.49), and lower child-reported risk behavior (ages 6-18 years; odds ratio for any drug use [alcohol, cigarettes, or marijuana], 0.27 [95% CI, 0.10-0.73]). Conclusions and Relevance: To our knowledge, this is the first study to report significant intervention differences in the offspring of participants in a universal childhood preventive intervention. Cost-benefit analyses have examined the benefits of childhood intervention in the target generation. The present study suggests that additional benefits can be realized in the next generation as well. Trial Registration: ClinicalTrials.gov Identifier: NCT04075019.

An intergenerational investigation of the associations between parental marijuana use trajectories and child functioning.

Diverse patterns of life-course marijuana use may have differential health impacts for the children of users. Data are drawn from an intergenerational study of 426 families that included a parent, their oldest biological child, and (where appropriate) another caregiver who were interviewed 10 times from 2002 to 2018; the current study used data from 380 families in waves 6-10. Analyses linked parent marijuana use trajectories estimated in a previous publication (Epstein et al., 2015) to child marijuana, alcohol, and nicotine use; promarijuana norms; internalizing; externalizing; attention problems; and grades using multilevel modeling among children ages 6 to 21. Four trajectories had been found in the previous study: nonuser, chronic, adolescent-limited, and late-onset. Results indicate that children of parents in the groups that initiated marijuana use in adolescence (chronic and adolescent-limited) were most likely to use substances. Children of parents in the late-onset group, where parents initiated use in young adulthood, were not at increased risk for substance use but were more likely to have attention problems and lower grades. Results held when parent current marijuana use was added to the models. Implications of this work highlight the importance of considering both current use and use history in intergenerational transmission of marijuana use, and the need to address parent use history in family based prevention. Prevention of adolescent marijuana use remains a priority. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Does Adolescent Alcohol Harm Minimization Policy Exposure Reduce Adult Alcohol Problems? A Cross-National Comparison.

PURPOSE: Adolescent alcohol use carries risks for problem behaviors, such as injury and school dropout, as well as increases the risk of alcohol dependence later on, making public health approaches that curb youth alcohol use a key concern. The present study uses a two-state comparison of alcohol-related policies in Victoria, Australia and Washington State, U.S. (harm minimization in Australia and zero tolerance in the U.S.) to examine whether youth alcohol use in each state is related to alcohol-related problems in young adulthood. METHODS: Data were drawn from the International Youth Development Study (N = 1,965) that followed youth in Victoria and Washington states from age 13 years, with follow-up at ages 14 and 15 years, and then again at age 25 years. Multiple-group structural equation modeling was used to test whether early alcohol use was equally related to alcohol problems (measured by the Alcohol Use Disorder Identification Test) at age 25 years and whether the relationship was moderated by family and school environments that were tolerant of youth drinking and by gender. RESULTS: Youth in Victoria reported greater rates of alcohol use compared with youth in Washington, as well as more permissive family and school environments. Early alcohol use was equally associated with Alcohol Use Disorder Identification Test problems at age 25 years in the two nations, and none of the moderators significantly changed the association. CONCLUSIONS: Results suggest that harm minimization policies adopted in Victoria are less effective at reducing alcohol problems during young adulthood compared with the stricter zero-tolerance approaches adopted in Washington State.