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BACKGROUND: The availability of local, state, and national data on alcohol outlet density have important implications for policies and interventions aiming to reduce alcohol-related problems. High-quality data on locations of alcohol outlets is important to accurately inform community interventions and public health initiatives, but such data is often not maintained, readily available, or of sufficient quality. OBJECTIVES: This study aims to examine the discrepancies between alcohol outlet databases and how neighborhood characteristics (i.e., income, majority racial population, urbanicity) are associated with the discrepancies between databases. METHODS: Data was collected from national (n=1), local (n=2), and state databases (n=3). Negative binomial regression modes were used to assess discrepancies in alcohol outlet count at the ZIP code level based on the data source. RESULTS: The average density of alcohol outlets (per 1000 residents) ranged from 0.71 to 2.17 in Maryland, 1.65 to 5.17 in Wisconsin, and 1.09 to 1.22 in Oregon based on different sources of data. Findings suggest high income areas (>200% poverty level) have fewer discrepancies (IR = 0.775, p < 0.01), low income areas (below poverty level) have greater discrepancies (IR = 4.990, p < 0.01), and urban areas tend to have fewer discrepancies (IR = 0.378, p < 0.01) between datasets. CONCLUSION: Interventions and policies depend on valid and reliable data; researchers, policymakers, and local agencies need to collaborate to develop methods to maintain accurate and accessible data.

OBJECTIVE: This study A) assessed whether levels of alcohol-related disciplinary actions on college campuses changed among MD college students after the 2011 Maryland (MD) state alcohol tax increase from 6% to 9%, and B) determined which school-level factors impacted the magnitude of changes detected. METHOD: A quasi-experimental interrupted time series (ITS) analysis of panel data containing alcohol-related disciplinary actions on 33 MD college campuses in years 2006-2013. Negative binomial regression models were used to examine whether there was a statistically significant difference in counts of alcohol-related disciplinary actions comparing time before and after the tax increase. RESULTS: The ITS anaysis showed an insignificant relationship between alcohol-related disciplinary actions and tax implementation (β=−.27; p=.257) but indicated that alcohol-related disciplinary actions decreased significantly over the time under study (β=−.05; p=.022). DISCUSSION: Alcohol related disciplinary actions did decrease over time in the years of study, and this relationship was correlated with several school-level characteristics, including school price, school funding type, types of degrees awarded, and specialty. School price may serve as a proxy mediator or confounder of the effect of time on disciplinary actions.

This study examined the relationship between alcohol, marijuana, cocaine, and painkiller use disorders in a sample of drivers. We studied nighttime drivers aged 16 to 87 (n = 4,277) from the 2007 National Roadside Survey who reported substance use behaviors and provided breath tests for alcohol. Logistic regression analyses assessed the relationships between (1) substance (i.e., alcohol/marijuana/cocaine/pain killer) use disorders; (2) demographic characteristics; and (3) BAC levels. Overall, 13.2% of participants met criteria for marijuana use disorder, 7% met criteria for cocaine use disorder, and 15.4% met criteria for extra-medicinal painkiller use disorder. When self-report data were analyzed, three reciprocal associations emerged: (1) marijuana use disorders and alcohol use disorders were correlated; (2) marijuana use disorders and cocaine use disorders were correlated; and (3) cocaine use disorders and painkiller use disorders were correlated. BAC data revealed that marijuana and cocaine use disorders were both associated with positive BAC levels, but only cocaine use disorders were associated with BAC levels over the legal limit. Results suggest significant poly-substance use disorders in a sample of nighttime drivers, with variations by demographic characteristics. The individual and public health consequences of multiple substance use disorders among drivers are significant.

Substance use can occur as a result of coping with stress. Within the school context, youth are exposed to stressors related to school achievement and peer-relationships. Protective factors, such as spirituality, may moderate adolescents' engagement in substance use.The current study investigated the role of spirituality in the association between stress and substance use, in an effort to test the hypothesis that spirituality moderates the association between stress and substance use.This study used data from youth in grades 6-8 attending 40 parochial private schools. A total of 5,217 students participated in the web-based survey administered in Spring 2013. Multilevel structural equation models were used to examine the association between stress, spirituality, and substance use, while accounting for the nested nature of the data (i.e., students within schools).Higher stress was significantly associated with increased alcohol, tobacco, and other drug use among youth (b =.306, p.001). In addition, lower spiritual beliefs were associated with greater substance use (b =.349, p.001). Spiritual beliefs did not moderate the relationship between stress and substance use.Implications for increasing students' adaptive coping when confronted with school-related stressors and the role of school climate are discussed.

The current study examines differences in organizational characteristics and client posttreatment drug use abstinence in residential substance abuse treatment programs serving clients with high or low levels of legal coercion to participate in treatment. The findings show that low legal coercion programs have higher counselor caseloads (Z = 59, p < .05) than high coercion programs. Although the results showed that programs with a large proportion of African American clients (β = 14.26, p < .0001) and high legal coercion programs (β = 19.99, p < .05) predicted longer abstinence posttreatment, the final models suggest organizational factors are the key predictors of client posttreatment abstinence.

This investigation examined the association between alcohol outlets and substance use during young adulthood in Baltimore, MD. Geospatial methods were used to determine the number of outlets within walking distance of the participant's home and distance to nearest outlet. Logistic regression models found that distance to the nearest alcohol outlet was associated with past year marijuana use after adjusting for community disadvantage and sociodemographic characteristics (OR = 0.77, p = .03); specifically, as distance to the nearest outlet increased the likelihood of marijuana use decreased. Findings suggest that distance to the nearest alcohol outlet was a better predictor of marijuana use than the density of alcohol outlets.

To determine whether drivers contacted at the roadside can be screened for alcohol use disorders (AUDs). Secondarily, to produce preliminary estimates of AUDs among drivers and estimate the relationship between AUD status and BAC measured at the roadside.A two-phase survey program was undertaken. In phase 1, 206 motorists were interviewed at the roadside using a 15-item AUD Survey derived from a condensed version of the AUDADIS and the AUDIT-C. One hundred sixty-seven of these motorists were invited, for a $25 incentive, to call the research team within 48 h of the roadside assessment to repeat the questionnaire and complete a more detailed AUD assessment. Phase 2 involved a 6-state pilot test of the AUD Survey as an add-on to the 2005 National Roadside Survey Pilot Program. The setting for both phases of the survey program was US roadways on weekends between 10 p.m. and 3 a.m.Ninety-seven percent of all eligible drivers completed the AUD questionnaire. The correlation between roadside and telephone interview results was 0.3 for alcohol abuse, 0.6 for alcohol dependence and heavy drinking, and 0.7 for binge drinking. Alcohol abuse and dependence diagnoses had 0.6 and 0.7 correlations with diagnoses derived from the full AUDADIS and the AUDIT-C had a 0.8 correlation with the full AUDIT. There was also a statistically significant and positive relationship between having a positive BAC at the roadside and meeting criteria for heavy drinking.AUD status can be effectively measured at the roadside. The poor reliability for alcohol abuse is related to underreporting of drinking and driving during roadside assessments, compared to telephone follow-up. Other measures of hazardous alcohol use should be used in the roadside context to measure alcohol abuse.