Examining area- and individual-level differences in suicide ideation severity and suicide attempt among youth.

Youth suicide is a pressing problem and suicide rates are not equally distributed across geographic areas or socioeconomic status (SES). Death by suicide is often preceded factors including hopelessness and suicide ideation, planning, and attempt. The current study examined area- and individual-level differences in suicide ideation severity and suicide attempt in a state-representative sample of youth from 2019 (N = 78,740) and 2021 (N = 61,396). Youth from higher SES and rural areas showed lower suicide ideation severity and odds of suicide attempt. After including individual-level covariates, SES differences in ideation severity and suicide attempt persisted for 2019 but not 2021. Rural differences for ideation severity persisted across years but not for suicide attempt. Further research on geographic variation in suicide risk is needed.

Racial/Ethnic Differences in Vaping Product Use among Youth: A State-Level Analysis.

National data suggest that non-Hispanic, White youth engage in electronic cigarette (e-cigarette) use at the highest rates. These results are not likely to be mirrored across regional contexts. State-representative data from Utah in 2019 (N = 58,689) were used to estimate the odds of lifetime and past 30-day vaping across seven racial/ethnic categories. Youth in grades 8, 10, and 12 (mean age 15.2; 52% female) self-reported race/ethnicity and vaping product use history, including e-cigarettes, vape pens, or mods. A Cox proportional hazards model estimated the cumulative probabilities for initiating vaping product use. The results indicated that American Indian or Alaskan Native, Black or African American, Hispanic/Latino, Multiracial, and Native Hawaiian or other Pacific Islander youth had significantly higher odds of both lifetime and past 30-day vaping compared to non-Hispanic White youth. The results showed significant variation in the cumulative probability of initiation by race/ethnicity, with Hispanic/Latino youth reporting the highest odds of initiation at each age. The regional patterns of vaping across racial/ethnic groups may not mirror national trends. State- and community-level data should be used to inform efforts to reduce e-cigarette use and promote health equity among youth.

Effectiveness of Brief In-person and Virtual Substance Use Disorder Counselor Trainings, 2019-2021.

OBJECTIVES: Paraprofessional substance use disorder counselors (SUDCs) are an important component of expanding access to substance use disorder treatment, but little research on SUDC training currently exists. We evaluated knowledge and self-efficacy gain from brief in-person and virtual workshops for paraprofessional SUDC student-trainees. METHODS: Student-trainees (N = 100) enrolled in an undergraduate SUDC training program completed 6 brief workshops from April 2019 to April 2021. Three in-person workshops during 2019 covered clinical assessment, suicide risk and evaluation, and motivational interviewing, and 3 virtual workshops during 2020-2021 covered family engagement and mindfulness-oriented recovery enhancement, as well as screening, brief intervention, and referral to treatment for expectant mothers. Pretest and posttest online surveys measured student-trainee knowledge gain related to all 6 SUDC modalities. Results of paired sample t tests evaluated changes in knowledge and self-efficacy from pretest to posttest. RESULTS: All 6 workshops showed a significant gain in knowledge from pretest to posttest. Four workshops showed a significant gain in self-efficacy from pretest to posttest. Hedges g ranged from 0.70 to 1.95 for knowledge gain and from 0.61 to 1.73 for self-efficacy gain across workshops. Common language effect sizes indicating the probability that a participant increased one's score from pretest to posttest ranged from 76% to 93% for knowledge gain and from 73% to 97% for self-efficacy gain across workshops. CONCLUSIONS: Results of this study add to the limited research base on training for paraprofessional SUDCs and suggest that in-person learning and virtual learning are both viable brief training tools for students.

E-Cigarette Use Is Associated with Increased Psychological Distress among Youth: A Pooled Cross-Sectional Analysis of State-Level Data from 2019 and 2021.

A crisis of worsening youth mental health in recent years across the United States has created alarm among health professionals. As a result, health professionals have sought to improve methods of identifying youth in need of treatment services. Cigarette, cannabis, and alcohol use each consistently serve as behavioral markers of risk for youth mental health problems. Despite the recent growth of electronic cigarette (e-cigarette) use among youth, few studies have examined whether e-cigarettes follow the same associational pattern with mental health problems in the context of other substance use. Additionally, the COVID-19 pandemic may have altered the associations between youth substance use and mental health problems due to both reduced overall use and increased mental health problems after the onset of the pandemic. The current study examined associations between youth substance use and psychological distress before and after the onset of the COVID-19 pandemic using two state-representative samples of youth in grades 8, 10, and 12 from 2019 (N = 58,689) and 2021 (N = 46,823) from Utah. Pooled cross-sectional linear and negative binomial regression models clustered by grade, stratified by school district, and weighted to represent population characteristics estimated associations between recent e-cigarette, combustible cigarette, cannabis, and heavy alcohol use and two measures of psychological distress-depressive symptoms and mental health treatment needs. After controlling for sociodemographic factors and recent uses of other substances, results indicated that psychological distress increased from 2019 to 2021 and that recent e-cigarette, combustible cigarette, cannabis, and heavy alcohol use were each significantly associated with increased levels on both measures of psychological distress. Compared to other substances, e-cigarette use showed the strongest standardized associations. The association of e-cigarette use with depressive symptoms strengthened significantly from 2019 to 2021. Given the youth mental health crisis paired with the widespread adoption of e-cigarettes, health professionals should consider recent e-cigarette use an increasingly important behavioral marker for risks of mental health problems among youth. Results suggest that future research studies examining the temporal ordering of substance use and mental health among youth should include e-cigarettes.

Socioeconomic Differences in Lifetime and Past 30-Day E-Cigarette, Cigarette, and Dual Use: A State-Level Analysis of Utah Youth.

Socioeconomic disparities in combustible cigarette use are well established among youth in the United States and lead to substantial health effects. Given the noteworthy rise in electronic cigarette (e-cigarette) use among youth in recent years, health professionals have expressed concern that e-cigarette use will follow similar socioeconomic patterns. The current study examined this question using a 2019 state-representative sample of youth in grades 6, 8, 10, and 12 from Utah (N = 78,740). Logistic regression models estimated associations between neighborhood- and individual-level factors with lifetime and past 30-day e-cigarette, combustible cigarette, and dual use across 267 neighborhoods. After controlling for individual-level sociodemographic factors, results indicated that youth living in higher-poverty neighborhoods were at a significantly increased risk of lifetime e-cigarette, combustible cigarette, and dual use. Additionally, youth living in households with higher levels of education were at a significantly lower risk of lifetime and past 30-day e-cigarette, cigarette, and dual use. Results suggest that e-cigarettes may follow a similar pattern of socioeconomic disparities among youth as combustible cigarettes. Additionally, most youth using combustible cigarettes also used e-cigarettes, suggesting that any potential harms from e-cigarettes may exacerbate existing socioeconomic disparities in health effects from combustible cigarette use. Research should continue to examine individual- and neighborhood-level socioeconomic disparities in youth e-cigarette, combustible cigarette, and dual use.

Trajectories of motivation and self-efficacy during a smoking quit attempt: An ecological momentary assessment study.

OBJECTIVE: Conceptual models of addiction highlight self-efficacy and motivation as key variables important during a smoking quit attempt; however, recent research has primarily focused on self-efficacy. Given the importance of motivation in these models, a clearer understanding of the effects of motivation during a smoking quit attempt is needed. METHOD: This study utilized ecological momentary assessment (EMA) to investigate the dynamic effects of motivation and self-efficacy early in a quit attempt. Participants were 356 smokers (45% male; 34% African American, 33% non-Hispanic White, 33% Latino). Participants completed EMAs of motivation, self-efficacy, and smoking for 4 days prequit through 1 week postquit, and returned for a follow-up assessment at 4 weeks postquit. Trajectory parameters of motivation and self-efficacy (mean, slope, and volatility) were analyzed in separate and combined regression models to predict smoking outcomes. RESULTS: Prequit results showed that parameters of motivation and self-efficacy were not associated with smoking on quit day. Postquit analyses revealed that participants with lower mean levels of motivation and self-efficacy were more likely to smoke at the end of Week 1. Moreover, individuals with decreasing levels of motivation over the first week of their quit attempt were more likely to be smoking at the end of Week 4. CONCLUSIONS: These findings highlight the need to incorporate dynamic measures of motivation in smoking research. Furthermore, the results underscore the value of utilizing EMA methods and trajectory parameters to gain a more nuanced understanding of the dynamic effects that key mechanisms have on smoking during a quit attempt. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Perceived discrimination and smoking lapse among Mexican Americans: An ecological momentary assessment study.

OBJECTIVE: Racial/ethnic minorities face unique stressors, including perceived discrimination (PD), that may increase the difficulty of quitting smoking relative to the general population of smokers. The current study examines the impact of acute PD on smoking lapse during a quit attempt, as well as potential mechanisms linking PD to lapse among Spanish-speaking Mexican Americans. METHOD: Participants (N = 169) were Spanish-speaking Mexican Americans living in the United States who completed ecological momentary assessments (EMAs) multiple times per day for 21 days postquit. A multilevel structural equation model decomposed the effect of PD on smoking lapse into indirect effects through negative affect, positive affect, smoking urge, motivation to quit, and self-efficacy. RESULTS: Results indicated that PD operated indirectly through negative affect, positive affect, and urge to smoke, above and beyond other mechanisms, to increase risk for smoking lapse. CONCLUSIONS: Findings have direct implications for intervention development among this population, including the potential for developing strategies to buffer the impact of PD, as well as skills to directly manage increased negative affect and urge to smoke. Just-in-time adaptive interventions (JITAIs) might be particularly useful, given they are designed to deliver treatment in real-time (e.g., delivery of strategies to build resilience and implement coping strategies) that could counter the impact of PD on smoking lapse. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Applying the Social Development Model in Middle Childhood to Promote Healthy Development: Effects From Primary School Through the 30s and Across Generations.

PURPOSE: This paper describes the origins and application of a theory, the social development model (SDM), that seeks to explain causal processes that lead to the development of prosocial and problem behaviors. The SDM was used to guide the development of a multicomponent intervention in middle childhood called Raising Healthy Children (RHC) that seeks to promote prosocial development and prevent problem behaviors. This paper reviews and integrates the tests of the SDM and the impact of RHC. While the original results of both model and intervention tests have been published elsewhere, this paper provides a comprehensive review of these tests. As such this integrative paper provides one of the few examples of the power of theory-driven developmental preventive intervention to understand impact across generations and the power of embedding controlled tests of preventive intervention within longitudinal studies to understand causal mechanisms. METHODS: Application of the SDM in the RHC intervention was tested in a quasi-experimental trial nested in the Seattle Social Development Project (SSDP). SSDP is a longitudinal study of 808 students who attended 18 public schools in Seattle, WA, and whose parents consented for their participation in longitudinal research when they were in Grade 5 (77% of the eligible population in participating schools). Students assented at each survey administration and consented to longitudinal follow-up when they turned 18. Panel subjects were followed and surveyed 15 times from Grade 5 through age 39, with most completion rates above 90%. RESULTS: We describe effects of the full multicomponent RHC intervention delivered in Grades 1 through 6 by comparing outcomes of those children assigned to the full RHC intervention condition to controls from middle childhood through age 39. We also report the effects of the full RHC intervention on the firstborn children of participants compared with the firstborn children of controls. CONCLUSIONS: We discuss use of the theory to guide development and testing of preventive interventions and the utility of nesting intervention tests within longitudinal studies for testing both theory and interventions.

A time-varying model of the dynamics of smoking lapse.

OBJECTIVE: The majority of smokers who make a quit attempt experience their first lapse within the first week of quitting, yet limited research to date has examined how the strength and direction of the relationship between smoking risk factors and lapse may change over longer periods of time. Time-varying effect modeling (TVEM) was used to address this gap. METHOD: A diverse sample (N = 325) of adult smokers completed ecological momentary assessments of risk factors for lapse for 28 days after quitting. TVEM was used to examine the relationship between risk factors (abstinence self-efficacy, positive affect, positive coping expectancies, smoking expectancies, motivation, negative affect, stress, and urge) and lapse for 28 days postquit. RESULTS: Some associations were stable (e.g., negative affect, motivation), whereas others varied over time. Abstinence self-efficacy, positive affect, and positive coping expectancies were most strongly associated with lapse between Days 3 and 8 postquit. The association of urge with lapse was strongest between Days 4 and 10, as well as near the end of the quit attempt. Stress was also most strongly associated with lapse near the beginning and end of the postquit period and was the only predictor associated with lapse on quit date. The strength of the association between smoking expectancies and lapse increased over time. CONCLUSION: There may be periods during a quit attempt when certain risk factors are more strongly related to lapse. This work has relevance for tailoring interventions designed to deliver intervention components in particular contexts or times of need. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Socioeconomic status, mindfulness, and momentary associations between stress and smoking lapse during a quit attempt.

BACKGROUND: Models of health disparities highlight stress among low socioeconomic status (SES) smokers as a barrier to cessation. Recent studies suggest that mindfulness may improve cessation outcomes by reducing stress during a quit attempt. The current study examined associations of SES and mindfulness with ecological momentary assessments (EMAs) of stress and smoking lapse during a quit attempt. METHODS: EMAs (N = 32,329) were gathered from 364 smokers engaged in a quit attempt. A multilevel structural equation model estimated within person paths from momentary stress to subsequent smoking lapse. Between person paths estimated paths from a latent variable for SES and mindfulness to stress and smoking lapse, the indirect effect of SES and mindfulness on lapse through stress, and moderation of within person stress-lapse associations by SES and mindfulness. RESULTS: Within person estimates found that momentary increases in stress predicted increased risk of subsequent smoking lapse. Between person estimates found that lower SES was indirectly associated with greater risk for smoking lapse through increased stress; and, higher mindfulness was indirectly associated with lower risk for smoking lapse through reduced stress. Additionally, higher SES participants, who reported lower stress during the quit attempt, showed a stronger relationship between momentary increases in stress and risk for subsequent smoking lapse. CONCLUSIONS: Among low SES smokers engaged in a quit attempt, both SES and mindfulness uniquely influenced smoking lapse through their influence on stress. Findings support reports that mindfulness presents a promising intervention target to reduce stress and improve cessation outcomes among low SES smokers.

Neighborhood Structural Factors and Proximal Risk for Youth Substance Use.

This study examined associations of neighborhood structural factors (census-based measures, socioeconomic disadvantage, and residential stability); self-reported measures of general and substance use-specific risk factors across neighborhood, school, peer, and family domains; and sociodemographic factors with substance use among 9th grade students. Data drawn from the Seattle Social Development Project, a theory-driven longitudinal study originating in Seattle, WA, were used to estimate associations between risk factors and past month cigarette smoking, binge drinking, marijuana use, and polysubstance use among students (N = 766). Results of logistic regression models adjusting for neighborhood clustering and including all domains of risk factors simultaneously indicated that neighborhood socioeconomic disadvantage was associated with a significantly higher likelihood of cigarette smoking, binge drinking, and polysubstance use, but not marijuana use. In fully controlled models, substance use-specific risk factors across neighborhood, school, peer, and family domains were also associated with increased likelihood of substance use and results differed by the outcome considered. Results highlight substance-specific risk factors as an intervention target for reducing youth substance use and suggest that further research is needed examining mechanisms linking neighborhood socioeconomic disadvantage and youth substance use.

Socioeconomic Status, Social Context, and Smoking Lapse During a Quit Attempt: An Ecological Momentary Assessment Study.

BACKGROUND: Low socioeconomic status (SES) is linked to failure to quit smoking. Health inequity models suggest that low SES smokers experience barriers to quitting in part due to greater exposure to pro-smoking social contexts. PURPOSE: The current study examined longitudinal associations among socioeconomic status, pro-smoking social context factors (i.e., exposure to other smokers, places where smoking was allowed), cigarette availability, and smoking lapse during a quit attempt. METHODS: Ecological momentary assessments (EMA) were gathered from a multiethnic sample of 365 smokers engaged in a quit attempt. A multilevel structural equation model estimated a latent variable for SES indicated by income, education, health insurance, and employment, associations among EMAs for pro-smoking social contexts and cigarette availability, and indirect effects of SES through, pro-smoking social contexts and cigarette availability to subsequent smoking lapse. RESULTS: Lower SES scores were associated with a higher likelihood of smoking lapse. Decomposition of the path from SES to smoking lapse into indirect effects showed significant paths through exposure to places where smoking is allowed and cigarette availability. Additionally, significant serial indirect paths from SES through both exposure to other smokers and places where smoking was allowed, in turn, through cigarette availability, and, ultimately, to smoking lapse were noted. CONCLUSIONS: Consistent with models positing that SES influences health behaviors via contextual factors, the current study demonstrated that low SES smokers attempting to quit experienced greater pro-smoking social contexts that affected subsequent risk for lapse.

Momentary precipitants connecting stress and smoking lapse during a quit attempt.

OBJECTIVE: Most attempts at smoking cessation are unsuccessful, and stress is frequently characterized both as a momentary precipitant of smoking lapse and a predictor of subsequent changes in other key precipitants of lapse. The current study examined longitudinal associations among stress, multiple precipitants of lapse, and lapse among smokers attempting to quit. METHOD: Ecological momentary assessments (EMAs) were gathered from a multiethnic, gender-balanced sample of 370 adults enrolled in a smoking cessation program. EMAs (N = 32,563) assessed smoking lapse and precipitants of lapse, including stress, negative affect, smoking urge, abstinence self-efficacy, motivation to quit, difficulty concentrating, coping outcome expectancies, and smoking outcome expectancies. A multilevel structural equation model simultaneously estimated within-subject paths from stress to multiple precipitants and subsequent smoking lapse. Indirect effects of stress to smoking lapse through precipitants were computed. RESULTS: Results indicated that increased stress was significantly associated with all precipitants of lapse, consistent with a greater risk for lapse (i.e., increased negative affect, smoking urge, difficulty concentrating, and smoking outcome expectancies and reduced abstinence self-efficacy, motivation to quit, and coping outcome expectancies). All precipitants were significantly associated with subsequent lapse. Indirect effects indicated that stress was uniquely connected to lapse through negative affect, smoking urge, abstinence self-efficacy, coping outcome expectancies, and smoking outcome expectancies. CONCLUSIONS: Results of this study highlight the broad importance of stress for smoking lapse during a quit attempt. Smoking cessation programs should pay close attention to the role of stress in exacerbating key precipitants of lapse to improve cessation success rates. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Optimizing Assessment of Risk and Protection for Diverse Adolescent Outcomes: Do Risk and Protective Factors for Delinquency and Substance Use Also Predict Risky Sexual Behavior?

Assessments of youth risk and protective factors (RPFs) for substance use, delinquency, and violence have been used by communities to identify priorities and target them with prevention interventions. These same RPFs may also predict other youth problems. This study examined the strength and consistency of relationships of 41 ecological RPFs that predict antisocial behavior and substance use with sexual behavior outcomes in a sample of 2150 urban youth in 10th and 12th grade. After adjusting for controls, findings identify significant associations among the majority of community, school, family, peer, and individual risk factors, and family, peer, and individual protective factors, with sexual behavior outcomes, specifying unique associations among multiple factors with risky sex relative to both safe sex and not being sexually active. Prevention programming that targets common predictors for multiple problems may address a broad array of outcomes, including sexual health risk behaviors.

Race/Ethnicity Differences in Trends of Marijuana, Cigarette, and Alcohol Use Among 8th, 10th, and 12th Graders in Washington State, 2004-2016.

Accurate estimates of substance use in the teenage years by race/ethnicity may help identify when to intervene to prevent long-term substance use disparities. We examined trends in past 30-day use of marijuana, cigarette, and alcohol among 8th, 10th, and 12th graders in Washington State, which passed a recreational marijuana law in 2012 and initiated retail marijuana sales in 2014. Data are from the 2004-2016 Washington Healthy Youth Surveys (n = 161,992). We used time series regression models to assess linear and quadratic trends in substance use for the full sample and stratified on race/ethnicity and grade level and examined relative differences in prevalence of use by race/ethnicity. In Washington, across all racial/ethnic groups, marijuana use peaked in 2012. Although there was not a significant overall change in marijuana use for the full sample across the study period, there was a statistically significant increase in use among 12th graders and a statistically significant decrease among 8th graders. Relative to Whites, Asians had a lower prevalence of marijuana use, whereas all other race/ethnicity groups had a higher prevalence of use. Prevalence of marijuana use is particularly high among American Indian/Alaska Native and Black youth and has increased most rapidly among 12th grade Hispanic/Latinx youth. There were large and statistically significant decreases in alcohol and cigarette use across the study period for the full sample, as well as for each race/ethnicity group. These findings highlight the need for continued monitoring of trends in use among these groups and potentially warrant consideration of selective interventions that specifically focus on students of color and that include developmentally-appropriate strategies relevant to each grade.

Neighborhood Poverty Increases Risk for Cigarette Smoking From Age 30 to 39.

BACKGROUND: Lower socioeconomic status (SES) has been associated with higher rates of smoking. Few longitudinal studies have examined indicators of SES at both the neighborhood- and individual-level over time in conjunction with proximal risk factors of cigarette smoking. PURPOSE: To examine associations of time-varying measures of SES, demographic factors, and proximal risk factors for smoking net of average trajectories of smoking behavior from ages 30 to 39 in a community sample. METHODS: Data from the Seattle Social Development Project (N = 752), a theory-driven longitudinal study originating in Seattle, WA, were used to estimate trajectories of smoking from age 30 to 39. Time-varying measures of neighborhood poverty, coworker smoking, partner smoking, depression, anxiety, education, income, marital status, and parenthood were associated with smoking over time using latent growth curve modeling. RESULTS: Results indicated that living in higher poverty neighborhoods was uniquely associated with a greater likelihood of smoking net of average trajectories of smoking from age 30 to 39, gender and race/ethnicity, time-varying measures of SES and demographics, and time-varying measures of proximal risk factors for smoking. CONCLUSIONS: Living in higher poverty neighborhoods presents a unique risk for smoking among adults aged 30 to 39 above and beyond multiple aspects of SES and other potential mechanisms relating SES to smoking.

Racial Differences in Mechanisms Linking Childhood Socioeconomic Status With Growth in Adult Body Mass Index: The Role of Adolescent Risk and Educational Attainment.

PURPOSE: The present study examined whether risk factors during adolescence, including substance use, depression, overweight status, and young adult educational attainment, mediated the association between low childhood socioeconomic status (SES) and higher body mass index (BMI) in adulthood. We also evaluated whether the hypothesized pathways differed based on racial group status. METHODS: Participants from the Seattle Social Development Project were followed from ages 10 to 39years. Thepresent study included white (n = 381), African American (n = 207), and Asian American (n = 171) participants. Structural equation models tested pathways linking low childhood SES to BMI from ages 24 to 39 years. Multiple-group modeling was used to test potential racial differences. RESULTS: Analyses indicated racial differences in the pathways linking low childhood SES with adult BMI. For whites, overweight status and educational attainment were significant mediators. For Asian Americans, there was an unmediated and significant pathway between low childhood SES and low adult BMI. For African Americans, there were no significant mediated or unmediated pathways. CONCLUSIONS: Results stress that the pathways that link childhood SES with adult BMI may operate differently based on race. Research is particularly needed to identify mechanisms for African Americans in order to better inform obesity prevention efforts.

Neighborhood, Family, and Peer Factors Associated with Early Adolescent Smoking and Alcohol Use.

There is broad agreement that neighborhood contexts are important for adolescent development, but there is less consensus about their association with adolescent smoking and alcohol use. Few studies have examined associations between neighborhood socioeconomic contexts and smoking and alcohol use while also accounting for differences in family and peer risk factors for substance use. Data drawn from the Seattle Social Development Project (N = 808), a gender-balanced (female = 49%), multiethnic, theory-driven longitudinal study originating in Seattle, WA, were used to estimate trajectories of smoking and alcohol use from 5th to 9th grade. Time-varying measures of neighborhood socioeconomic, family, and peer factors were associated with smoking and alcohol use at each wave after accounting for average growth in smoking and alcohol use over time and demographic differences. Results indicated that living in more socioeconomically disadvantaged neighborhoods, lower family income, lower family general functioning, more permissive family smoking environments, and affiliation with deviant peers were independently associated with increased smoking. Lower family functioning, more permissive family alcohol use environments, and deviant peers were independently associated with increased alcohol use. The effect of neighborhood disadvantage on smoking was mediated by family income and deviant peers while the effect of neighborhood disadvantage on alcohol use was mediated by deviant peers alone. Family functioning and family substance use did not mediate associations between neighborhood disadvantage and smoking or alcohol use. The results highlight the importance of neighborhood, family, and peer factors in early adolescent smoking and alcohol use. Future studies should examine the unique association of neighborhood disadvantage with adolescent smoking net of family socioeconomics, functioning, and substance use, as well as peer affiliations. Better understanding of the role of contextual factors in early adolescent smoking and alcohol use can help bolster efforts to prevent both short and long harms from substance use.

An Examination of Alcohol Use Disorder Symptoms and Neighborhood Disorganization from Age 21 to 39.

Living in disorganized neighborhoods characterized by high levels of poverty, crime, violence, and deteriorating buildings has been associated with increased alcohol consumption and mental health problems. Data drawn from the Seattle Social Development Project (N = 790), a theory-driven longitudinal study originating in Seattle, WA, were used to estimate trajectories of Alcohol Use Disorder (AUD) symptoms from age 21 to 39. Time-varying measures of neighborhood disorganization, psychological distress, and sociodemographic factors were associated with deviations from average AUD symptoms at each wave. Results indicated that, on average, AUD symptoms decreased as individuals got older. Living in more disorganized neighborhoods and experiencing psychological distress was associated with increased AUD symptoms after accounting for average reductions from AUD symptoms over time and time-varying measures of relevant sociodemographic factors. Results of mediation analysis suggested that psychological distress is a mechanism by which disorganized neighborhoods increased risk of AUD from age 21 to 39.

State and National Contexts in Evaluating Cannabis Laws: A Case Study of Washington State.

As of January 2016, 23 U.S. states and the District of Columbia have legalized medical or nonmedical cannabis, with more likely to follow. This dynamic policy context represents a substantial challenge for policy evaluation. Part I of this article provides a summary of state-level cannabis policy components across states and federal action regarding state-level policies. Part II presents a detailed history of cannabis policies in Washington State from 1998 to 2015 and analyzes the potential impacts of the policy changes on cannabis supply and demand. As an early adopter of both medical and nonmedical cannabis policies, Washington State provides an excellent example of the key elements to be considered in evaluating the relationship between policy changes and cannabis use. We highlight the importance of the interplay of federal enforcement priorities and previously adopted state-level cannabis regimes in interpreting the potential impacts of new cannabis policies.