Faculty Bibliography

Background: Legalization of marijuana has been accompanied by a growing number of Americans using marijuana, marijuana-related media coverage and marketing directed at consumers. Thus, understanding the public's current perceptions of the risks and benefits of marijuana is important. National surveys have examined "perceived risks" (e.g., great risk, moderate risk, low risk) from marijuana use, but little is known about views towards several other important domains including beliefs about benefits, prevention of health problems, perceived risk compared to tobacco and wine, and societal effects (e.g. secondhand smoke or driving under the influence). To further our understanding of the public's views about the risks and benefits of marijuana use, we conducted a national survey of US adults. Methods: We developed a survey and specifically addressed content not covered by federally sponsored surveys. We surveyed 16,000 US adults 18 years and older in September 2017 using GFK's KnowledgePanel, a probability-based, nationally representative online sample of the US population. To assess the extent to which our respondents were comparable to those of the National Survey on Drug Abuse and Health (NSDUH), we compared their socio-demographic characteristics. Descriptive statistics were calculated for all items. For the multivariable logistic regression analyses, we combined respondents who agreed with a statement and compared their baseline characteristics to respondents with all other viewpoints. Results: The response rate was 56.3% (n=9,003). The mean age of the sample was 48 years. Respondents were 52% female and 64% white. Respondent socio-demographic characteristics were similar to NSDUH. About 80% of US adults identified at least one benefit of marijuana while 17% stated it had no benefit. A third of Americans believe that marijuana improves sleep and about half believe it offers relief from stress, anxiety, and depression. About 91% of US adults identified at least one risk from marijuana while 9% stated it had no risks. Over a quarter of US adults agreed that marijuana had preventive health benefits. A third of US adults believe that smoking one marijuana joint a day is safer than smoking one cigarette a day and that secondhand smoke from marijuana is safer than secondhand smoke from tobacco. About 1 in 8 Americans believe that smoking one marijuana joint per day is safer than drinking one glass of wine per day. A quarter of Americans believe it is safer to drive under the influence of marijuana compared to under the influence of alcohol. Younger Americans 18 to 34 years old were about three times more likely to view smoking one marijuana joint a day as safer than smoking one cigarette a day compared to adults 65 years and older [OR 3.09, 95% CI (2.64, 3.62)]. Conclusions: Americans have a more favorable view of marijuana use than is supported by current evidence, with many believing it is safer than alcohol or tobacco. These findings should be a cause for concern to US policymakers

BACKGROUND:Assaultive violence events are associated with increased risk for adverse psychiatric outcomes, including post-traumatic stress (PTS), depression, and generalized anxiety. Prior research has indicated that economic, legal, and social stressors that could follow assaultive events may explain the increased risk for adverse psychiatric outcomes, yet longitudinal studies have not adequately examined this pathway. In the current study, we aimed to address this limitation. METHODS:Participants (N = 1360) were part of a longitudinal population-based study of adults living in Detroit. At three waves, participants indicated their exposure to assaultive violence and economic, legal, and social stressors, and completed inventories of PTS, depression, and generalized anxiety. Longitudinal mediation models were used to test the hypothesized pathway from assaultive violence to each psychiatric outcome. RESULTS:The hypothesized models evidenced good fit with the data and, in each, the paths from Wave 1 (W1) assaultive violence to W2 stressors, and from W2 stressors to W3 symptoms were significant (range of Standardized Estimates: 0.09-0.15, all p < 0.01). Additionally, the indirect paths from W1 assaultive violence to W3 symptoms were significant (range of Standardized Estimates: 0.01-0.02, all p < 0.05). CONCLUSIONS:The findings illustrate that the economic, legal, and social stressors that could follow assaultive violence increase risk for a range of psychiatric symptoms. Although future research is needed, the results suggest that investment in interventions that prevent and mitigate assaultive violence survivors' exposure to such stressors may be an effective way to prevent mental illness in the aftermath of violent assaults.

Substantial literature demonstrates the influence of the neighborhood environment on health behaviors and outcomes. But limited research examines on how gay and bisexual men experience and exist in various geographic and virtual spaces and how this relates to their sexual behavior. New York City Men 2 Men (NYCM2M) was a cross-sectional study designed to identify neighborhood-level characteristics within the urban environment that influence sexual risk behaviors, substance use, and depression among men who have sex with men (MSM) living in NYC. The sample was recruited using a modified venue-based time-space sampling methodology and through select websites and mobile applications. Whether key neighborhoods of human activity, where a participant resided (termed home), socialized (termed social), or had sex most often (termed sex), were the same or different was evaluated. "Congruence" (or the sameness) of home, social, and most often sex neighborhood was reported by 17 % of men, while 30 % reported that none of their neighborhoods were the same. The largest group of men (39 %) reported that their home and sex neighborhoods were the same but their social neighborhood was different while 10 % reported that their home neighborhood was different than their social and sex neighborhood; 5 % men reported same home and social neighborhoods with a different sex neighborhood. Complete neighborhood incongruence was highest among men who were Black and/or Latino, had lower education and personal income levels, and had greater financial insecurity. In adjusted analysis, serodiscordant condomless anal intercourse and condomless anal intercourse with partners from the Internet or mobile applications were significantly associated with having the same social and sex (but not home) neighborhoods. Understanding the complexity of how different spaces and places relate to the health and sexual behavior of MSM is essential for focusing interventions to best reach various populations of interest.

PURPOSE: We examined the relationship between economic, physical, and social characteristics of neighborhoods, where men who have sex with men (MSM) lived and socialized, and symptom scores of depression and generalized anxiety disorder (GAD). METHODS: Participants came from a cross-sectional study of a population-based sample of New York City MSM recruited in 2010-2012 (n = 1126). Archival and survey-based data were obtained on neighborhoods, where the men lived and where they socialized most often. RESULTS: MSM who socialized in neighborhoods with more economic deprivation and greater general neighborhood attachment experienced higher GAD symptoms. The relationship between general attachment to neighborhoods where MSM socialized and mental health depended on the level of gay community attachment: in neighborhoods characterized by greater gay community attachment, general neighborhood attachment was negatively associated with GAD symptoms, while in low gay community attachment neighborhoods, general neighborhood attachment had a positive association with GAD symptoms. CONCLUSIONS: This study illustrates the downsides of having deep ties to social neighborhoods when they occur in the absence of broader access to ties with the community of one's sexual identity. Interventions that help MSM cross the spatial boundaries of their social neighborhoods and promote integration of MSM into the broader gay community may contribute to the reduction of elevated rates of depression and anxiety in this population.

Identifying neighborhood characteristics associated with sexual HIV risk behavior among gay, bisexual and other men who have sex with men (MSM) living in urban areas may inform the development of policies and programs to reduce risk and subsequently HIV prevalence in urban areas. New York City M2M was a cross-sectional study designed to identify neighborhood-level characteristics associated with sexual risk behaviors among MSM living in New York City. This paper presents results of an analysis of neighborhood-level indicators of three distinct social theories of influence of the neighborhood environment on human behavior: physical disorder, social disorganization and social norms theories. Using multilevel modeling on a sample of 766 MSM stratified by race/ethnicity, we found little support for the role of social disorganization on the sexual risk behavior of MSM, whereas different indicators of physical disorder exerted negative effects across race groups. Our results suggest that the beneficial effects of housing stock maintenance and general neighborhood physical orderliness and cleanliness may have positive effects beyond those traditionally studied for African American MSM and that the field needs novel theorizing regarding whether and how neighborhood or virtual community-level factors relate to sexual behavior among MSM.

BACKGROUND:Little is known on how perceived availability of marijuana is associated with medical marijuana laws. We examined the relationship between medical marijuana laws (MML) and the prevalence of past-month marijuana use, with perceived availability of marijuana. METHODS:Data were from respondents included in the National Survey of Drug Use and Health restricted use data portal 2004-2013. Multilevel logistic regression of individual-level data was used to test differences between MML and non-MML states and changes in prevalence of past-month marijuana use and perceived availability from before to after passage of MML among adolescents, young adults and older adults controlling for demographics. RESULTS:Among adults 26+, past-month prevalence of marijuana use increased from 5.87% to 7.15% after MML passage (Adjusted Odds Ratio (AOR): 1.24 [1.16-1.31]), but no change in prevalence of use was found for 12-17 or 18-25 year-olds. Perceived availability of marijuana increased after MML was enacted among those 26+ but not in younger groups. Among all age groups, prevalence of marijuana use and perception of it being easily available was higher in states that would eventually pass MML by 2013 compared to those that had not. Perceived availability was significantly associated with increased risk of past-month marijuana use in all age groups. CONCLUSION:Evidence suggests perceived availability as a driver of change in use of marijuana due to MML. To date, this has only occurred in adults 26+ and different scenarios that could explain this change need to be further explored.

OBJECTIVES:To assess the association between medical marijuana laws (MMLs) and the odds of a positive opioid test, an indicator for prior use. METHODS:We analyzed 1999-2013 Fatality Analysis Reporting System (FARS) data from 18 states that tested for alcohol and other drugs in at least 80% of drivers who died within 1 hour of crashing (n = 68 394). Within-state and between-state comparisons assessed opioid positivity among drivers crashing in states with an operational MML (i.e., allowances for home cultivation or active dispensaries) versus drivers crashing in states before a future MML was operational. RESULTS:State-specific estimates indicated a reduction in opioid positivity for most states after implementation of an operational MML, although none of these estimates were significant. When we combined states, we observed no significant overall association (odds ratio [OR] = 0.79; 95% confidence interval [CI] = 0.61, 1.03). However, age-stratified analyses indicated a significant reduction in opioid positivity for drivers aged 21 to 40 years (OR = 0.50; 95% CI = 0.37, 0.67; interaction P < .001). CONCLUSIONS:Operational MMLs are associated with reductions in opioid positivity among 21- to 40-year-old fatally injured drivers and may reduce opioid use and overdose.

Prior research examining links between neighborhood violence and mental health has not been able to establish whether it is perceived levels of neighborhood violence, or actual levels of violent crime, that matter most for adolescents' psychological well-being. In this study, we ascertained both perceived neighborhood safety and objectively-measured neighborhood-level violent crime (using a novel geospatial index of police-reported crime incidents) for 4464 adolescent respondents from the California Health Interview Survey (CHIS 2011-2014). We used propensity score-matched regression models to examine associations between these measures and CHIS adolescents' symptoms of psychological distress. We found that adolescents who perceived their neighborhood to be unsafe were two times more likely than those who perceived their neighborhood to be safe to report serious psychological distress (OR = 2.4, 95 % CI = 1.20, 4.96). Adolescents who lived in areas objectively characterized by high levels of violent crime, however, were no more likely than their peers in safer areas to be distressed (OR = 1.41; 95 % CI = 0.60, 3.32). Our results suggest that, at the population level, adolescents' perceptions of neighborhood violence, rather than objective levels of neighborhood crime, are most salient for their mental health.

There is considerable interest in the effects of medical marijuana laws (MML) on marijuana use in the USA, particularly among youth. The article by Stolzenberg et al. (2015) "The effect of medical cannabis laws on juvenile cannabis use" concludes that "implementation of medical cannabis laws increase juvenile cannabis use". This result is opposite to the findings of other studies that analysed the same US National Survey on Drug Use in Households data as well as opposite to studies analysing other national data which show no increase or even a decrease in youth marijuana use after the passage of MML. We provide a replication of the Stolzenberg et al. results and demonstrate how the comparison they are making is actually driven by differences between states with and without MML rather than being driven by pre and post-MML changes within states. We show that Stolzenberg et al. do not properly control for the fact that states that pass MML during 2002-2011 tend to already have higher past-month marijuana use before passing the MML in the first place. We further show that when within-state changes are properly considered and pre-MML prevalence is properly controlled, there is no evidence of a differential increase in past-month marijuana use in youth that can be attributed to state MML.

BACKGROUND:To our knowledge, there are no universal screening tools for substance dependence that (1) were developed using a population-based sample, (2) estimate total risk briefly and inexpensively by incorporating a relatively small number of well-established risk factors, and (3) aggregate risk factors using a simple algorithm. We created a universal screening tool that incorporates these features to identify adolescents at risk for persistent substance dependence in adulthood. METHOD/METHODS:Participants were members of a representative cohort of 1037 individuals born in Dunedin, New Zealand in 1972-1973 and followed prospectively to age 38 years, with 95% retention. We assessed a small set of childhood and adolescent risk factors: family history of substance dependence, childhood psychopathology (conduct disorder, depression), early exposure to substances, frequent substance use in adolescence, sex, and childhood socioeconomic status. We defined the outcome (persistent substance dependence in adulthood) as dependence on one or more of alcohol, tobacco, cannabis, or hard drugs at ⩾3 assessment ages: 21, 26, 32, and 38 years. RESULTS:A cumulative risk index, a simple sum of nine childhood and adolescent risk factors, predicted persistent substance dependence in adulthood with considerable accuracy (AUC = 0.80). CONCLUSIONS:A cumulative risk score can accurately predict which adolescents in the general population will develop persistent substance dependence in adulthood.