Risk profiles for heavy drinking in adolescence: differential effects of gender.

Abnormalities across different domains of neuropsychological functioning may constitute a risk factor for heavy drinking during adolescence and for developing alcohol use disorders later in life. However, the exact nature of such multi-domain risk profiles is unclear, and it is further unclear whether these risk profiles differ between genders. We combined longitudinal and cross-sectional analyses on the large IMAGEN sample (N ≈ 1000) to predict heavy drinking at age 19 from gray matter volume as well as from psychosocial data at age 14 and 19-for males and females separately. Heavy drinking was associated with reduced gray matter volume in 19-year-olds' bilateral ACC, MPFC, thalamus, middle, medial and superior OFC as well as left amygdala and anterior insula and right inferior OFC. Notably, this lower gray matter volume associated with heavy drinking was stronger in females than in males. In both genders, we observed that impulsivity and facets of novelty seeking at the age of 14 and 19, as well as hopelessness at the age of 14, are risk factors for heavy drinking at the age of 19. Stressful life events with internal (but not external) locus of control were associated with heavy drinking only at age 19. Personality and stress assessment in adolescents may help to better target counseling and prevention programs. This might reduce heavy drinking in adolescents and hence reduce the risk of early brain atrophy, especially in females. In turn, this could additionally reduce the risk of developing alcohol use disorders later in adulthood.

Young people, young adults and binge drinking.

INTRODUCTION AND PURPOSE: The consumption of alcohol among young people and young adults has undergone, in recent decades, a sharp upsurge with the increasingly frequent intake of large quantities of alcohol. The aim of our study was to investigate socio-demographic, economic and behavioural factors that have a major impact on the voluntary alcohol habit in young people. METHODS: The survey was conducted via administration of an anonymous questionnaire based on "the WHO Alcohol Use Disorders Identification Test", disseminated on-line, to young people and young adults (aged 18 to 35). RESULTS: We examined a sample of 365 subjects. Consumption of wine and beer were predominant followed by super-alcohol mixes. We found correlations between alcohol use and the following variables: marital status (p < 0.001), parental education (mother p < 0.05; father p < 0.001), income level (p < 0.05), physical activity (p < 0.05) and voluptuous habits (smoke and coffee: p < 0.001.The 5% of men and 1% of women had car accidents during the previous year due to alcohol use and 15% said they did not remember what happened in an alcoholic evening once or twice a month. CONCLUSIONS: The phenomenon of alcohol consummation is deeply ingrained in our reality, with dangerous episodes of binge drinking in young adults with a higher prevalence in the female sex.

Substance use and use disorders and treatment receipt among adults in families receiving Temporary Assistance for Needy Families (TANF), 2003-2014.

BACKGROUND/PURPOSE: Legalization of marijuana for medical and/or recreational use in some U.S. states has increased attention to substance use and related problems. However, little attention has been paid to these phenomena among adults in families receiving Temporary Assistance for Needy Families (TANF) whose adverse life experiences may put them at elevated risk of substance use disorders (SUDs). METHODS: Data from the 2003-2014 National Survey on Drug Use and Health (NSDUH) were used to test trends in past-month binge drinking and past-year marijuana, other illicit drug, and any illicit drug use and to examine SUD prevalence and treatment correlates among adults in TANF families. RESULTS: While rates of binge drinking and any illicit drug use remained steady, marijuana use increased from 15.8% in 2003/2004 to 21.6% in 2013/2014, a 36.7% increase. Increased marijuana use was strongly related to changes in marijuana risk perception. Among adults in TANF families, 19.5% of men and 10.8% of women had a past-year SUD, but only one in five received treatment. Those aged 18-25, Black or Hispanic women, and those who had children at home when surveyed were less likely to have received treatment. DISCUSSION: Preventive efforts to address substance use, especially marijuana use, among adults in TANF families are needed. Moreover, given greater odds of unmet SUD treatment need among these economically disadvantaged adults, particularly racial/ethnic minority women and those who are in emerging adulthood, uninsured, and have children at home, measures to provide more inclusive services such as integrated behavioral health care are needed.

A developmental-based motivational intervention to reduce alcohol and marijuana use among non-treatment-seeking young adults: a randomized controlled trial.

AIMS: To test the hypothesis that among non-treatment-seeking emerging adults (EA) who both use marijuana and have alcohol binges, a brief, longitudinally delivered, developmentally based motivational intervention would show greater reductions in the use of these two substances compared with a health education control condition. DESIGN: Parallel, two-group, randomized controlled trial with follow-up interventions conducted at 1, 3, 6 and 9 months and final assessments at 12 and 15 months. SETTING: Hospital-based research unit in the United States. PARTICIPANTS: Community-based 18-25-year-olds who reported at least monthly binge drinking and at least weekly marijuana use. INTERVENTION: Motivational intervention (EA-MI) focused primarily on themes of emerging adulthood (identity exploration, instability, self-focus, feeling in-between, a sense of possibilities) and the subjects' relationship to substance use (n = 110) compared with an attention-matched health education control condition (n = 116). MEASUREMENTS: The primary outcomes were days of binge alcohol, marijuana and dual use day as measured using the timeline follow-back method analysing the treatment by time interaction to determine relative differences in the rate of change between intervention arms. FINDINGS: At baseline, the mean rate (days/30) of binge drinking was 5.23 (± 4.31) of marijuana use was 19.4 (± 10.0) and of dual (same day) use was 4.11 (± 4.13). Relative to baseline, there were reductions in the rate of binge alcohol use, marijuana use and days of combined binge alcohol and marijuana use (P < 0.001) at all follow-up assessments. However, the treatment × time interaction was not statistically significant for alcohol (P = 0.37), for marijuana (P = 0.07) or for dual use (P = 0.55). Averaged over all follow-ups, mean reductions in binge, marijuana and dual use days were 1.16, 1.45 and 1.08, respectively, in the health education arm, and 1.06, 1.69 and 0.96 in EA-MI. Bayes factors were < 0.01 for frequency of binge alcohol use and frequency of dual binge alcohol and marijuana and 0.016 for marijuana use. CONCLUSIONS: A brief, longitudinally delivered, developmentally based motivational intervention for young adults did not produce reductions in binge alcohol, marijuana use or dual use days relative to a control condition.

Prevalence and Factors Associated with Hazardous Alcohol Use Among Persons Living with HIV Across the US in the Current Era of Antiretroviral Treatment.

Hazardous alcohol use is associated with detrimental health outcomes among persons living with HIV (PLWH). We examined the prevalence and factors associated with hazardous alcohol use in the current era using several hazardous drinking definitions and binge drinking defined as ≥5 drinks for men versus ≥4 for women. We included 8567 PLWH from 7 U.S. sites from 2013 to 2015. Current hazardous alcohol use was reported by 27% and 34% reported binge drinking. In adjusted analyses, current and past cocaine/crack (odd ratio [OR] 4.1:3.3-5.1, p < 0.001 and OR 1.3:1.1-1.5, p < 0.001 respectively), marijuana (OR 2.5:2.2-2.9, p < 0.001 and OR 1.4:1.2-1.6, p < 0.001), and cigarette use (OR 1.4:1.2-1.6, p < 0.001 and OR 1.3:1.2-1.5, p < 0.001) were associated with increased hazardous alcohol use. The prevalence of hazardous alcohol use remains high in the current era, particularly among younger men. Routine screening and targeted interventions for hazardous alcohol use, potentially bundled with interventions for other drugs, remain a key aspect of HIV care.

Medical use, nonmedical use of prescription medication and risk behaviour among Croatian adolescents.

BACKGROUND: At the drug scene some major shifts were observed, more and more reports highlighted the abuse of prescription medication. Despite the importance of controlled medication in treatment child and adolescent disorders, this increase may be a factor which influence misuse and nonmedical use of prescribed drugs among adolescents. SUBJECT AND METHODS: Croatian data from ESPAD survey in 2003, 2007 and 2011 were used, and variables selected from the international ESPAD questionnaire. Dependent variable was taking tranquilizers or sedatives prescribed by doctor in the past 12 months. Independent variables were nonmedical use of tranquilizers/sedatives, use of other psychoactive substances, school performance, truancy, delinquent behaviour, satisfaction with relationships with parents, friends, health, self-perception, financial situation and symptoms of depression. The respondents were 8849 students (4393 boys and 4456 girls) in three consecutive ESPAD surveys (2003, 2007 and 2011). RESULTS: In multivariate analysis for all three survey years the strongest predictor for prescription medication use was use of sedatives/tranquilizers without prescription (OR 6.14; CI 4.08-9.23; OR 8.16; CI4.65-14.32; OR 9.77; CI5.92-15.13). Frequent drinking and excessive drinking or drunkenness also predicted prescription medication use, (OR 1.85; CI1.10-3.10; OR 2.01: CI 1.20-3.39). Among other problem behaviours lower school performance (OR 2.92; CI 1.41-6.05; OR 2.56; CI 1.12-5.87), missed school days OR 1.59; OR1.01-2.51; OR1.72; CI 1.03-2.87), aggressive behaviour (OR 1.532; CI 1.01-2.28; OR1.65; CI 1.04-2.62), depressive symptoms (OR 2.19; CI 1.24-3.85) and poorer financial situation were connected with prescription medication use. CONCLUSION: Prescription use of tranquilizers/sedatives was predicted by nonmedical tranquilizers/sedatives use, alcohol abuse, symptoms of depression and variables indicating maladjusted behaviour. Although there is sufficient evidence that prescription medication abuse might went unobserved, the further analysis which could better explain its' role and impact is still needed.

Post-treatment drinking among HIV patients: Relationship to pre-treatment marijuana and cocaine use.

BACKGROUND: For individuals with HIV, heavy drinking can pose serious threats to health. Some interventions are effective at reducing drinking in this population, but many HIV-infected heavy drinkers also use marijuana or cocaine. Although these drugs have predicted poor alcohol outcomes in other treatment studies, whether this occurs among HIV patients who drink heavily is unknown. METHODS: Participants were binge-drinking HIV primary care patients (N=254) enrolled in a randomized trial of three brief drinking interventions over 60 days that varied in intensity. We investigated the relationship of baseline past-year drug use (marijuana-only, cocaine-only, both, neither) to end-of-treatment drinking quantity and frequency. We also evaluated whether the relationship between intervention type and end-of-treatment drinking varied by baseline drug use. Final models incorporated control for patients' demographic and HIV characteristics. RESULTS: In final models, drinking frequency at the end of treatment did not vary by baseline drug use, but drinking quantity did (X(2)[3] = 13.87, p < 0.01), with individuals using cocaine-only drinking significantly more per occasion (B = 0.32, p < 0.01). Baseline drug use also interacted with intervention condition in predicting end-of-treatment drinking quantity (X(2)[6] = 13.98, p < 0.05), but not frequency, with the largest discrepancies in end-of-treatment drinks per drinking day by intervention intensity among cocaine-only patients. CONCLUSIONS: In general, HIV patients using cocaine evidenced the highest levels of drinking after alcohol intervention. However, these individuals also evidenced the most pronounced differences in end-of-treatment drinking by intervention intensity. These results suggest the importance of more intensive intervention for individuals using alcohol and cocaine.

Alcohol control efforts in comprehensive cancer control plans and alcohol use among adults in the USA.

AIMS: To understand how US cancer control plans address alcohol use, an important but frequently overlooked cancer risk factor, and how many US adults are at risk. METHODS: We reviewed alcohol control efforts in 69 comprehensive cancer control plans in US states, tribes and jurisdictions. Using the 2011 Behavioral Risk Factor Surveillance System, we assessed the prevalence of current alcohol use among US adults and the proportion of these drinkers who exceeded guidelines for moderate drinking. RESULTS: Most comprehensive cancer control plans acknowledged alcohol use as a cancer risk factor but fewer than half included a goal, objective or strategy to address alcohol use. More than half of US adults reported current alcohol use in 2011, and two of three drinkers exceeded moderate drinking guidelines at least once in the past month. Many states that did not address alcohol use in comprehensive cancer control plans also had a high proportion of adults at risk. CONCLUSION: Alcohol use is a common cancer risk factor in the USA, but alcohol control strategies are not commonly included in comprehensive cancer control plans. Supporting the implementation of evidence-based strategies to prevent the excessive use of alcohol is one tool the cancer control community can use to reduce the risk of cancer.

Substance use and misuse and potential doping behaviour in rugby union players.

The aims of this investigation were to compile evidence on substance-use-and-misuse (SUM) and to identify factors related to potential-doping-behaviour (PDB) in rugby union. The subjects were 105 rugby athletes (all males; 23.4 ± 4.1 years; 99% respondents). The variables included socio-demographic factors, SUM-data, sport-factors, knowledge-on-doping (KD), and PDB. Data showed high alcohol consumption, with more than 30% of the athletes binge drinking at least once per week. Approximately 52% of the subjects used dietary-supplementation (DS) and 23% reported PDB, whereas 55% believed that doping is present in rugby. Forward conditional logistic regression revealed that less rugby experience (OR:1.286; 95%CI:1.058-1.563; p < 0.05), less smoking (OR:2.034; 95%CI:1.100-3.760; p < 0.05), higher DS usage (OR:5.543; 95%CI:1.666-18.444; p < 0.01), and a stronger belief that doping is present in rugby (OR:0.305; 95%CI:0.066-0.638; p < 0.01) were significant predictors of PDB. The high PDB and alcohol consumption warrant a serious intervention on these problems in rugby.

Portrayal of alcohol consumption in movies and drinking initiation in low-risk adolescents.

OBJECTIVES: To investigate the hypothesis that exposure to alcohol consumption in movies affects the likelihood that low-risk adolescents will start to drink alcohol. METHODS: Longitudinal study of 2346 adolescent never drinkers who also reported at baseline intent to not to do so in the next 12 months (mean age 12.9 years, SD = 1.08). Recruitment was carried out in 2009 and 2010 in 112 state-funded schools in Germany, Iceland, Italy, Netherlands, Poland, and Scotland. Exposure to movie alcohol consumption was estimated from 250 top-grossing movies in each country in the years 2004 to 2009. Multilevel mixed-effects Poisson regressions assessed the relationship between baseline exposure to movie alcohol consumption and initiation of trying alcohol, and binge drinking (≥ 5 consecutive drinks) at follow-up. RESULTS: Overall, 40% of the sample initiated alcohol use and 6% initiated binge drinking by follow-up. Estimated mean exposure to movie alcohol consumption was 3653 (SD = 2448) occurrences. After age, gender, family affluence, school performance, TV screen time, personality characteristics, and drinking behavior of peers, parents, and siblings were controlled for, exposure to each additional 1000 movie alcohol occurrences was significantly associated with increased relative risk for trying alcohol, incidence rate ratio = 1.05 (95% confidence interval, 1.02-1.08; P = .003), and for binge drinking, incidence rate ratio = 1.13 (95% confidence interval, 1.06-1.20; P < .001). CONCLUSIONS: Seeing alcohol depictions in movies is an independent predictor of drinking initiation, particularly for more risky patterns of drinking. This result was shown in a heterogeneous sample of European youths who had a low affinity for drinking alcohol at the time of exposure.

The use of caffeinated alcoholic beverages among underage drinkers: results of a national survey.

OBJECTIVE: The mixing of alcoholic beverages with caffeine has been identified as a public health problem among college students; however, little is known about the consumption of such drinks among younger adolescents. We estimated the prevalence of caffeinated alcoholic beverage (CAB) use among a wide age range of underage drinkers, examined differences in traditional (i.e. self-mixed alcoholic beverages with soda, coffee and tea) and non-traditional CAB use (pre-mixed caffeinated alcoholic beverages or self-mixed alcoholic beverages with energy drinks or energy shots) among underage drinkers by age and other demographic characteristics, and examined differences in hazardous drinking behavior between CAB and non-CAB users. METHODS: We used an existing Internet panel maintained by Knowledge Networks, Inc. to assess the use of pre-mixed and self-mixed CABs in the past 30 days among a national sample of 1031 youth drinkers age 13-20. We conducted logistic regression analyses to estimate the relationship between traditional and non-traditional CAB use and risky drinking behavior as well as adverse outcomes of drinking, while controlling for age, gender, race/ethnicity, income, and general risk-taking (seat belt use). RESULTS: The overall prevalence of CAB use in the sample of underage drinkers was 52.4% (95% confidence interval [CI], 47.4%-57.4%). CAB prevalence was 48.4% among 13-15 year-old drinkers, 45.3% among 16-18 year-old drinkers, and 58.4% among 19-20 year-old drinkers. After controlling for other variables, we found a continuum of risk with non-traditional CAB use most significantly associated with binge drinking (odds ratio [OR]=6.3), fighting (OR=4.4), and alcohol-related injuries (OR=5.6). CONCLUSIONS: The problem of caffeinated alcoholic beverage use is not restricted to college-aged youth. The prevalence of CAB use among underage drinkers is higher than previously thought and begins in early adolescence. Adolescents who consume CABs, and particularly non-traditional CABs, are at increased risk of adverse outcomes.