Analytical description of adolescent binge drinking patients.

BACKGROUND: Binge drinking is a widespread health compromising behavior among adolescents and young adults, leading to significant health problems, injuries and mortality. However, data on alcohol consumption is often unreliable, as it is mainly based on self-reporting surveys. In this five-year study (2014-2019) at the University Children's Hospital Zurich, we analyzed blood samples from adolescent binge drinking patients to investigate blood alcohol concentrations (BACs), co-ingestion of drugs, assess compliance between self-reported and measured substance use, and test for genetic components of innate alcohol tolerance. Furthermore, hair analysis was performed to retrospectively access drug exposure and to evaluate the potential of hair analysis to assess binge drinking. METHODS: In a prospective, single-center study, patients with alcohol intoxications aged 16 years and younger were included. Blood and hair samples were analyzed by sensitive liquid chromatography - tandem mass spectrometry drug analysis. HTTLPR genotyping was performed with PCR and fragment analysis. RESULTS: Among 72 cases, 72 blood and 13 hair samples were analyzed. BACs ranged from 0.08-3.20‰ (mean 1.63‰, median 1.60‰), while a mean concentration of 3.64 pg/mg hair (median 3.0 pg/mg) of the alcohol marker ethyl glucuronide (EtG) was detected in eleven hair samples, providing no evidence of chronic excessive drinking. In 47% of the cases, co-ingested drugs were qualitatively detected next to ethanol, but only 9% of the detected drugs had blood concentrations classified as pharmacologically active. Cannabis consumption (22%) and stimulant intake (16%) were the most frequently observed drugs. Compliance between patients' statements and measured substances matched well. Although we investigated the genetic contribution to innate alcohol tolerance via the 5-HTTLPR polymorphism, the diverse genetic background of the cohort and small sample size did not allow any conclusions to be drawn. CONCLUSION: Almost half of our binge drinking patients tested positive for other substances, primarily cannabis. We anticipate that our study enhances understanding of consumption behavior of young people and encourage continued efforts to address the harmful effects of binge drinking and co-occurring substance use.

Using Classifiers to Identify Binge Drinkers Based on Drinking Motives.

A representative sample of 2,844 Dutch adult drinkers completed a questionnaire on drinking motives and drinking behavior in January 2011. Results were classified using regressions, decision trees, and support vector machines (SVMs). Using SVMs, the mean absolute error was minimal, whereas performance on identifying binge drinkers was high. Moreover, when comparing the structure of classifiers, there were differences in which drinking motives contribute to the performance of classifiers. Thus, classifiers are worthwhile to be used in research regarding (addictive) behaviors, because they contribute to explaining behavior and they can give different insights from more traditional data analytical approaches.

Implicit Alcohol and Smoking Associations among Young Adult Heavy Drinkers: Associations with Smoking Status and Alcohol-Cigarette Co-Use.

Implicit memory associations may play a role in motivation to use alcohol and cigarettes, but the relationship between implicit associations and co-use of alcohol and cigarettes is currently unknown. This study provided an initial examination of alcohol and smoking implicit associations among young adult drinkers who were either nonsmokers or relatively light smokers (i.e., 10 or fewer cigarettes per day) as a function of smoking frequency and daily-level alcohol-cigarette co-use. Drinkers (N = 129) completed alcohol-arousal and smoking-valence variants of the Implicit Association Test as well as a daily-level assessment of past 90-day alcohol and cigarette use. Smokers were grouped according to whether they reported daily or nondaily smoking frequency. Results showed that although implicit alcohol-arousal associations did not differ between smokers and nonsmokers, stronger implicit alcohol-arousal associations were observed for nondaily smokers relative to daily smokers after controlling for drinking frequency. Further, implicit positive-smoking associations were stronger for smokers relative to nonsmokers. Within the subgroup of nondaily smokers, more frequent co-use of alcohol and cigarettes was associated with stronger implicit positive-smoking associations when controlling for total drinking and smoking frequency. The findings suggest that implicit alcohol and smoking associations may be linked with smoking patterns (daily vs. nondaily) and co-use of alcohol and cigarettes among young adult drinkers who are not heavy smokers, highlighting the need for more research on the role of implicit associations in the co-use of cigarettes and alcohol.

Alcohol attitudes, motives, norms, and personality traits longitudinally classify nondrinkers, moderate drinkers, and binge drinkers using discriminant function analysis.

INTRODUCTION: Binge drinking is commonly defined in the literature as consuming at least 5 drinks for males and 4 drinks for females. These quantities correspond to approximately a blood alcohol concentration of 0.08%, the level of intoxication making it illegal to drive in the United States. METHODS: The study scrutinized the longitudinal classification of three drinker types using male (n=155) and female (n=351) college students. Measures of personality (sensation seeking, extraversion, agreeableness, conscientiousness, neuroticism, and openness), alcohol attitudes, alcohol motivations (social, coping, enhancement, and conformity), and alcohol social norms (typical students, friends, closest friends, and parents) were administered at Time 1. Drinker type (nondrinkers, moderate drinkers, or binge drinkers) was assessed one month later. RESULTS: Discriminant function analyses revealed that the set of measures statistically distinguished among the three drinker types. The first function was significant and yielded high loadings for attitudes, social motives, enhancement motives, coping motives, closest friend norms, and friend norms for both genders. Model classification accuracy was 73% for the male and 67% female samples. Multivariate analysis of variance (MANOVA) compared mean differences in a 2 (gender: males or females)×3 (drinker type: nondrinkers, moderate drinkers, or binge drinkers) design. Measures systematically differing across all pairwise comparisons of the three drinker types, starting from the strongest effect (eta-squared), were as follows: alcohol attitudes, social motives, enhancement motives, closest friend norms, friend norms, coping motives, sensation seeking, and extraversion. CONCLUSIONS: Attitude, motivation, and norm variables tended to be more important than personality in distinguishing drinker types. Considering the malleability of attitudes and belief motivations, the risk variables of alcohol attitudes, social motives, and enhancement motives identified in this research warrant consideration in prevention and campaign efforts targeting problematic drinking.