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Background We examined differences in response to self-reported alcohol use items by survey mode, whether self-report differences were the result of modality effects or self-selection, and whether these differences varied across the treatment and control arms of a preventative intervention trial. Methods Data from an existing alcohol prevention trial were used to estimate the effect of survey modality on adolescent's self-reported alcohol use at ages 17 to 18. Estimates were derived from regression models controlling for self-reported alcohol use during 8th grade, measured using a single survey modality, as well as time invariant selection factors. Results No statistically significant survey modality effects were found. No differential effects of survey modality were observed by assigned intervention group. Conclusions We provide initial evidence that adolescent alcohol prevention trials may use multiple survey modalities when necessary to increase response rates without harming interpretation of intervention effects. [ABSTRACT FROM AUTHOR]

Background Low levels of alcohol responses (low LRs) are genetically influenced phenotypes that are identified before alcohol dependence and predict future heavy drinking and alcohol problems. A recent paper described 13 LR-related blood oxygen level-dependent ( BOLD) response contrast patterns observed during an emotional face recognition task that might reflect cognitive processes contributing to LR and that might themselves predict adverse alcohol outcomes ( Paulus et al., Biol Psychiatry 2012; 72: 848). This paper evaluates the predictive implications of those functional magnetic resonance imaging (f MRI) patterns. Methods Of 120 subjects from Paulus and colleagues (2012), 114 (57 low and high LRs; ~50% females) were interviewed 5 years later at age 25. Correlations between baseline f MRI patterns and alcohol-related outcomes were evaluated, and regression analyses were used to determine if BOLD response contrasts incremented over LR in predicting outcomes. Results Baseline f MRI patterns in 5 of 13 baseline regions of interest correlated with adverse outcomes. Such patterns in insular regions, particularly the left anterior insula, and the right frontal gyrus, added to LR in predicting alcohol problems. The relationships remained robust when exact binomial procedures were used, but, reflecting the small sample size, it was not possible to adequately consider Bonferroni corrections. Conclusions The data suggest that f MRI BOLD response contrasts predicted heavier drinking and alcohol problems 5 years later, even after considering baseline low LRs. Future work will focus on whether f MRI results can predict outcomes in larger samples and among young nondrinkers, as well as how the imaging results increase understanding of the processes through which LR operates. [ABSTRACT FROM AUTHOR]

Background Alcohol-related blackouts ( ARBs) are reported by ~50% of drinkers. While much is known about the prevalence of ARBs in young adults and their cross-sectional correlates, there are few prospective studies regarding their trajectories over time during mid-adolescence. This paper reports latent trajectory classes of ARBs between age 15 and 19, along with predictors of those patterns. Methods Latent class growth analysis ( LCGA) was used to evaluate the pattern of occurrence of ARBs across 4 time points for 1,402 drinking adolescents from the Avon Longitudinal Study of Parents and Children ( ALSPAC). Multinomial regression analyses evaluated age-15 demography, substance-related items, externalizing characteristics, and estimated peer substance use as predictors of latent class membership. Results ARBs were reported at age 15 in 30% and at age 19 in 74% of these subjects. Four latent trajectory classes were identified: Class 1 (5.1%) reported no blackouts; for Class 2 (29.5%), ARBs rapidly increased with age; for Class 3 (44.9%), blackouts slowly increased; and for Class 4 (20.5%), ARBs were consistently reported. Using Class 2 (rapid increasers) as the reference, predictors of class membership included female sex, higher drinking quantities, smoking, externalizing characteristics, and estimated peer substance involvement (pseudo R2 = 0.22). Conclusions ARBs were common and repetitive in these young subjects, and predictors of their trajectories over time involved multiple domains representing diverse characteristics. [ABSTRACT FROM AUTHOR]

Background Treatment for alcohol use disorders (AUDs) has traditionally been abstinence oriented, but new research and regulatory guidelines suggest that low-risk drinking may also be an acceptable treatment outcome. However, little is known about long-term outcomes for patients who become low-risk drinkers posttreatment. This study explores a posttreatment low-risk drinking outcome as a predictor of future drinking and psychosocial outcomes over 9 years. Methods Study participants were adults with AUDs at treatment entry who received follow-up interviews 6 months posttreatment intake ( N = 1,061) in 2 large randomized studies conducted at Kaiser Permanente Northern California, a large private, nonprofit, integrated health system. Six-month drinking status was defined as abstinent, low-risk (nonabstinent, no 5+ drinking days), or heavy drinking (1 or more days of 5+ drinks). Using logistic regression models, we explored the relationship between past 30-day drinking status at 6 months and odds of being abstinent or a low-risk drinker (compared to heavy drinking), and positive Addiction Severity Index psychosocial outcomes over 9 years (9-year follow-up rate of 73%). Results Abstainers and low-risk drinkers at 6 months had higher odds of recent abstinence/low-risk drinking over 9 years than heavy drinkers; abstainers had better drinking outcomes than low-risk drinkers. Additionally, among those with interview data, 95% of abstainers and 94% of low-risk drinkers at 6 months were abstinent/low-risk drinkers at 9 years; surprisingly, 89% of heavy drinkers at 6 months were also abstinent/low-risk drinkers although still significantly fewer than the other groups. Abstainers and low-risk drinkers at 6 months had better psychiatric outcomes, and abstainers had better family/social outcomes than heavy drinkers; medical outcomes did not differ. Low-risk drinkers and abstainers showed no reliable differences across psychosocial measures. Conclusions The findings suggest that a low-risk drinking outcome may be reasonable over the long-term for some alcohol-dependent individuals receiving addiction treatment. [ABSTRACT FROM AUTHOR]

Background A limited number of measures exist to assess alcohol problems during adolescence. Item response theory modeling was used to scale a measure of adolescent alcohol problems, including drinking and driving, and then related to alcohol and other psychiatric disorders that occurred over a 15-year period. Methods High school students ( N = 832) completed the 13-item Alcohol Problems Index ( API) at age 18 years as part of a long-term longitudinal study of predictors of alcohol use and alcohol disorders. Frequency of drinking and driving was also measured during adolescence. Lifetime psychiatric disorders, including alcohol disorders, were measured during young adulthood. Rasch modeling was used to scale the severity of alcohol problems, and the scaled total score was used to prospectively predict alcohol disorders. The area under the receiver operating characteristic ( ROC) curve was also computed between the adolescent alcohol problems and alcohol and other psychiatric disorders across a 15-year period. Results The prevalence of alcohol disorders was 38.7% (for alcohol dependence, it was 27.7%). Rasch modeling indicated that the API assessed a range of severity of alcohol problems and that drinking and driving were among the less severe indicators. Age 18 API scores significantly correlated with an alcohol diagnosis (0.34), and ROC curve analysis indicated that for adolescent alcohol problem scores, the diagnostic accuracy (or area under the curve) for an alcohol diagnosis by age 33 was 0.70. Conclusions Our findings supported the unidimensionality and reliability of the API, and statistically significant prospective prediction of young adult alcohol disorders. The measurement of alcohol problems during adolescence, in addition to drinking and driving, may be beneficial in understanding adverse consequences of drinking during adolescence as well as transitions in alcohol use and alcohol disorders across the lifespan. [ABSTRACT FROM AUTHOR]

Background All stages of development of alcohol use disorder ( AUD) have not been equally studied. While initiation of drinking has been given considerable attention, other stages have not been as thoroughly investigated. It is not clear whether the same factors are associated consistently across early and late transitions in AUD involvement. High-risk family samples that are enriched for AUD vulnerability and transitions in AUD development offer an opportunity to examine influences across multiple stages of AUD development. Methods Data from adolescents and young adults from high-risk families were used to study 4 transitions in AUD development-time to first drink, first drink to first problem, first drink to first diagnosis, and first problem to first diagnosis. Cox modeling was used to compare associations of parental AUD, parental separation, peer substance use, offspring ever-use of cannabis, trauma exposures, and internalizing and externalizing psychopathology across transitions. Results Hazards of most transitions were elevated for those who had ever used cannabis, those who attributed substance use to their peers, those with externalizing disorders, and those with parents with AUD. Many risk factors were linked to early initiation of alcohol, particularly cannabis use. Internalizing disorders were associated with later stages. Nonassaultive trauma was associated only with early initiation; assaultive trauma was not associated with any transition. Conclusions In this large, ethnically diverse sample of high-risk youth, significant influences across transitions were fairly consistent, with externalizing disorders and cannabis ever-use elevating the likelihood of each stage, and peer and parental (and especially maternal AUD) influences linked to initiation and some later stages. Finally, in light of the increasingly permissive legal and social stances toward cannabis in the United States, the marked elevations of all alcohol outcomes observed for cannabis use underscore the importance of studying the underpinnings of this relationship. [ABSTRACT FROM AUTHOR]

Background Standardized alcohol craving scales are rarely used outside of research environments despite recognized clinical utility. Scale length is a key barrier to more widespread application. A brief measure of alcohol craving is needed to improve research and treatment of alcohol use disorders ( AUDs). Grounded in the Elaborated Intrusion Theory of Desire, the Alcohol Craving Experience ( ACE) Questionnaire comprises two 11-item self-report scales that assess past-week frequency and maximum strength of alcohol craving. This study aimed to create a brief version of the ACE while maintaining psychometric integrity and clinical utility. Methods Patients attending a university hospital alcohol and drug outpatient service for the treatment of AUD completed the ACE as part of a questionnaire battery. Three patient samples were utilized: 519 patients with pretreatment and outcome data, 228 patients with pretreatment data, and 66 patients who completed the ACE at treatment sessions 1 and 2. Results The Frequency scale of the ACE possessed greater clinical utility and predictive validity than the Strength scale. Revision of the Frequency measure produced a 5-item 'Mini Alcohol Craving Experience' ( MACE) Questionnaire. Satisfactory validity (construct, predictive, concurrent, convergent, and incremental) and reliability (internal and test-retest) were maintained. A 1 standard deviation increase in pretreatment MACE score was associated with a 54 percentage increase in the odds of patient lapse or dropout. Conclusions The MACE provides a brief, theoretically, and psychometrically robust measure of alcohol craving suitable for use with AUD populations in time-limited clinical and research settings. [ABSTRACT FROM AUTHOR]

Background Quantifying craving longitudinally during the course of withdrawal, early abstinence, and relapse is essential for optimal management of alcohol use disorder ( AUD). In an effort to identify biological correlates of craving, we used proton magnetic resonance spectroscopy (1H- MRS) to investigate the correlation between craving and glutamate levels in the left dorsolateral prefrontal cortex ( LDLPFC) of patients with AUD. Methods Participants underwent 1H- MRS of the LDLPFC with 2-dimensional J-resolved (2 DJ) averaged PRESS. MRS data were processed with LCModel and cerebrospinal fluid ( CSF)-corrected to generate metabolite concentrations. The Penn Alcohol Craving Scale ( PACS) and the 30-day time line follow-back ( TLFB 30) were used to quantify craving for alcohol and drinking patterns, respectively. Results There was a statistically significant positive correlation between CSF-corrected glutamate ([Glu]) levels and PACS scores ( n = 14; p = 0.005). When PACS scores were dichotomized (< or ≥median = 16), [Glu] levels were significantly higher in the high- versus low-craving group ( p = 0.007). In addition, there was a significant negative correlation between CSF-corrected N-acetyl aspartic acid ([ NAA]) levels and mean number of drinks per drinking day in the past month ( n = 13; TLFB 30; p = 0.012). When mean TLFB 30 was dichotomized (< or ≥median = 7.86), [ NAA] levels were significantly lower in subjects that consumed more alcoholic beverages. There was no significant correlation between [Glu] and [ NAA] levels with other measures of drinking behavior and or depression symptom severity. Conclusions While limited by small sample size, these data suggest that glutamate levels in LDLPFC are associated with alcohol craving intensity in patients with AUD. Further study with larger sample size is needed to replicate this finding and evaluate the merits of glutamate spectroscopy as a biological correlate of alcohol craving intensity and a guide to treatment interventions. [ABSTRACT FROM AUTHOR]

Background Alcoholism has been linked to deficits in cognitive, behavioral, and emotional functions, and the cerebellum is important for optimal functioning of these abilities. However, little is known about how individual differences such as gender and drinking history might influence regional cerebellar abnormalities. Methods Volumetric analyses of the cerebellum and its subregions were performed in relation to the interaction of gender and measures of drinking history. Structural magnetic resonance imaging scans of 44 alcoholic individuals (23 men) and 39 nonalcoholic controls (18 men) were obtained. In addition to measuring total cerebellar gray and white matter volumes, we measured 64 individual cerebellar parcellation units, as well as functionally defined a priori regions of interest that have been shown to correspond to functions impaired in alcoholism. Results Total cerebellar white matter volume was smaller in alcoholic relative to nonalcoholic participants. Moreover, volumes of parcellation units varied with drinking history, showing negative associations between years of heavy drinking and the anterior lobe, the vestibulocerebellar lobe, and the spinocerebellar subdivision. The negative association between anterior volume and years of heavy drinking was driven primarily by alcoholic men. Additionally, we observed larger white and gray matter volumes for alcoholic women than for alcoholic men. Conclusions The identification of drinking-related abnormalities in cerebellar subregions lays a foundation that can be utilized to inform how cerebro-cerebellar networks are perturbed in this pathological condition. These results also provide estimates of how gender and individual differences in drinking history can predict cerebellar volumes. [ABSTRACT FROM AUTHOR]

Background Our goal was to assess the prevalence of 9 different types of precipitating circumstances among suicide decedents, and examine the association between circumstances and postmortem blood alcohol concentration ( BAC ≥ 0.08 g/dl) across U.S. ethnic groups. Methods Data come from the restricted 2003 to 2011 National Violent Death Reporting System, with postmortem information on 59,384 male and female suicide decedents for 17 U.S. states. Results Among men, precipitating circumstances statistically associated with a BAC ≥ 0.08 g/dl were physical health and job problems for Blacks, and experiencing a crisis, physical health problems, and intimate partner problem for Hispanics. Among women, the only precipitating circumstance associated with a BAC ≥ 0.08 g/dl was substance abuse problems other than alcohol for Blacks. The number of precipitating circumstances present before the suicide was negatively associated with a BAC ≥ 0.08 g/dl for Whites, Blacks, and Hispanics. Conclusions Selected precipitating circumstances were associated with a BAC ≥ 0.08 g/dl, and the strongest determinant of this level of alcohol intoxication prior to suicide among all ethnic groups was the presence of an alcohol problem. [ABSTRACT FROM AUTHOR]

Background For over 2 decades, brief motivational interventions ( BMIs) have been implemented on college campuses to reduce heavy drinking and related negative consequences. Such interventions include in-person motivational interviews ( MIs), often incorporating personalized feedback ( PF), and stand-alone PF interventions delivered via mail, computer, or the Web. Both narrative and meta-analytic reviews using aggregate data from published studies suggest at least short-term efficacy of BMIs, although overall effect sizes have been small. Methods This study was an individual participant-level data ( IPD) meta-analysis of 17 randomized clinical trials evaluating BMIs. Unlike typical meta-analysis based on summary data, IPD meta-analysis allows for an analysis that correctly accommodates the sampling, sample characteristics, and distributions of the pooled data. In particular, highly skewed distributions with many zeroes are typical for drinking outcomes, but have not been adequately accounted for in existing studies. Data are from Project INTEGRATE, one of the largest IPD meta-analysis projects to date in alcohol intervention research, representing 6,713 individuals each with 2 to 5 repeated measures up to 12 months postbaseline. Results We used Bayesian multilevel over dispersed Poisson hurdle models to estimate intervention effects on drinks per week and peak drinking, and Gaussian models for alcohol problems. Estimates of overall intervention effects were very small and not statistically significant for any of the outcomes. We further conducted post hoc comparisons of 3 intervention types (individual MI with PF, PF only, and group MI) versus control. There was a small, statistically significant reduction in alcohol problems among participants who received an individual MI with PF. Short-term and long-term results were similar. Conclusions This study questions the efficacy and magnitude of effects of BMIs for college drinking prevention and intervention and suggests a need for the development of more effective intervention strategies. [ABSTRACT FROM AUTHOR]