131 resultados para ALCOHOL-DRINKING


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Aims: To determine the acceptability to university students of practitioner-delivered screening and brief intervention (SBI) versus a novel approach-web-based SBI (e-SBI). Methods: A random sample of 1910 university students was invited to indicate their preferences for various brief intervention approaches in an internet survey. Results: e-SBI was the most popular intervention. It was favoured by 81% of all students and 82% of hazardous drinkers. Conclusions: e-SBI is a promising approach for the reduction of hazardous drinking among young people.

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Objective: Expectancies about the outcomes of alcohol consumption are widely accepted as important determinants of drinking. This construct is increasingly recognized as a significant element of psychological interventions for alcohol-related problems. Much effort has been invested in producing reliable and valid instruments to measure this construct for research and clinical purposes, but very few have had their factor structure subjected to adequate validation. Among them, the Drinking Expectancies Questionnaire (DEQ) was developed to address some theoretical and design issues with earlier expectancy scales. Exploratory factor analyses, in addition to validity and reliability analyses, were performed when the original questionnaire was developed. The object of this study was to undertake a confirmatory analysis of the factor structure of the DEQ. Method: Confirmatory factor analysis through LISREL 8 was performed using a randomly split sample of 679 drinkers. Results: Results suggested that a new 5-factor model, which differs slightly from the original 6-factor version, was a more robust measure of expectancies. A new method of scoring the DEQ consistent with this factor structure is presented. Conclusions: The present study shows more robust psychometric properties of the DEQ using the new factor structure.

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Background: Because alcohol has multiple dose-dependent consequences, it is important to understand the causes of individual variation in the amount of alcohol used. The aims of this study were to assess the long-term repeatability and genetic or environmental causes of variation in alcohol intake and to estimate the degree of overlap with causes of susceptibility to alcohol dependence. Methods: Data were used from three studies conducted between 1980 and 1995 on volunteer adult male and female Australian twin subjects. In each study, alcohol intake was reported both as quantity X frequency and as past-week data. Repeatability was calculated as correlations between occasions and between measures, and the effects of genes and environment were estimated by multivariate model fitting to the twin pair repeated measures of alcohol use. Relationships between mean alcohol use and the lifetime history of DSM-III-R alcohol dependence were tested by bivariate model fitting. Results: Repeatability of the alcohol intake measures was between 0.54 and 0.85, with the highest repeatability between measures within study and the lowest repeatability between the first and last studies. Reported alcohol consumption was mainly affected by genetic factors affecting all times of study and by nonshared environmental factors (including measurement error) unique to each time of study. Genes that affect alcohol intake do affect alcohol dependence, but genetic effects unique to dependence are also significant; environmental effects are largely unique to either intake and dependence. Conclusions: Nearly all the repeatable component of variation in alcohol intake is due to genetic effects. Genes affecting intake also affect dependence risk, but there are other genes that affect dependence alone. Studies aiming to identify genes that affect alcohol use disorders need to test loci and candidate genes against both phenotypes.

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The purpose of this analysis is threefold: first, to extract from the literature, current levels of GP detection of at-risk drinking by their patients, rates at which general practitioners (GPs) offer an intervention; and the effectiveness of these interventions; secondly, to develop a model based on this literature to be used in conjunction with scenario analysis; and thirdly, to consider the cost implications of current efforts and various scenarios. This study deals specifically with Australian general practice. A two-step procedure is used in the scenario analysis, which involves identifying opportunities for detection, intervention, effectiveness and assigning probabilities to outcomes. The results suggest that increasing rates of GP intervention achieves greatest benefit and return on resource use. For every 5% point increase in the rate of GP intervention, an additional 26 754 at-risk drinkers modify their drinking behaviour at a cost of $231.45 per patient. This compares with a cost per patient modifying drinking behaviour of $232.60 and $208.31 for every 5% point increase in the rates of detection and effectiveness, respectively. The knowledge, skill and attitude of practitioners toward drinking are significant, and they can be the prime motivators in persuading their patients to modify drinking behaviour.

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Background Strong evidence exists for the efficacy of screening and brief intervention for reducing hazardous drinking. However, problems have been highlighted with respect to its implementation in health-care systems, not least of which is a reluctance of some doctors to discuss alcohol proactively with their patients. Aims To determine the efficacy of a novel web-based screening and brief intervention (e-SBI) to reduce hazardous drinking. Design A double-blind randomized controlled trial. Setting A university student health service. Participants A total of 16 7 students (17-26 years) were recruited in the reception area and completed a 3-minute web-based screen including the Alcohol Use Disorder Identifiation Test (AUDIT) questionnaire. Of these, 112 tested positive, and 104 (52 females) who consented to follow-up were included in the trial. Measurements Drinking frequency, typical occasion quantity, total volume, heavy episode frequency (females > 80 g ethanol, males > 120 g ethanol), number of personal problems, an academic problems score. Intervention Participants were randomized to 10-15 minutes of web-based assessment and personalized feedback on their drinking (intervention, n = 5 1) or to a leaflet-only control group (n = 5 3). Findings Mean baseline AUDIT scores for control and intervention groups were 16.6 (SD = 6.0) and 16.6 (SD = 5.7). At 6 weeks, participants receiving e-SBI reported significantly lower total consumption (geometric mean ratio = 0.74; 9 5 % confidence interval: 0.56-0.96), lower heavy episode frequency (0.63; 0.42-0.92) and fewer personal problems (0.70; 0.54-0.91). At 6 months personal problems remained lower (0.76; 0.60-0.97), although consumption did not differ significantly. At 6 months, academic problems were lower in the intervention group relative to controls (0.72; 0.51-1.02). Conclusions e-SBI reduced hazardous drinking among university students, to an extent similar to that found for practitioner-delivered brief interventions in the general population. e-SBI offers promise as a strategy to reduce alcohol-related harm in a way that is non-intrusive, appealing to the target group, and capable of being incorporated into primary care. Research is required to replicate the findings, to determine the duration of intervention effects, and to investigate the mechanisms by which the intervention operates.

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Objectives: To examine the health-related quality of life of alcohol-dependent patients across a 12-week cognitive behaviour treatment (CBT) program and identify whether the patient selection of the anticraving medication naltrexone further enhanced these outcomes. Method: One hundred and thirty-six consecutive alcohol-dependent subjects voluntarily participated and were offered naltrexone, of which 73 (54%) participants declined medication. A matched design was used. Of the 136 subjects, 86 (43 naltrexone and CBT; 43 CBT only) could be individually matched (blind to outcome measures) for gender, age, prior alcohol detoxification and dependence severity. Measures of health status and mental health wellbeing included the Rand Corporation Medical Outcomes Short Form 36 Health Survey (SF-36) and the General Health Questionnaire (GHQ-28). Results: Pre-treatment, all had SF-36 and GHQ-28 scores markedly below national norms. Post-treatment, significant improvement in seven of the eight SF-36 subscales and all of the GHQ-28 subscales occurred, approximating national normative levels. Patients in the CBT + naltrexone group were significantly more likely to have increased days abstinent (p = 0.002) and to complete the program abstinent (p = 0.051). The adjunctive use of naltrexone did not provide additional benefit as reflected in SF-36 and GHQ-28 scores, beyond CBT alone. Conclusions: Patients who completed the CBT-based treatment program reported significant improvements in self-reported health status (SF-36) and wellbeing (GHQ-28). The adjunctive use of naltrexone demonstrated no additional improvement in these measures.

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After ingestion of a standardized dose of ethanol, alcohol concentrations were assessed, over 3.5 hours from blood (six readings) and breath (10 readings) in a sample of 412 MZ and DZ twins who took part in an Alcohol Challenge Twin Study (ACTS). Nearly all participants were subsequently genotyped on two polymorphic SNPs in the ADH1B and ADH1C loci known to affect in vitro ADH activity. In the DZ pairs, 14 microsatellite markers covering a 20.5 cM region on chromosome 4 that includes the ADH gene family were assessed, Variation in the timed series of autocorrelated blood and breath alcohol readings was studied using a bivariate simplex design. The contribution of a quantitative trait locus (QTL) or QTL's linked to the ADH region was estimated via a mixture of likelihoods weighted by identity-by-descent probabilities. The effects of allelic substitution at the ADH1B and ADH1C loci were estimated in the means part of the model simultaneously with the effects sex and age. There was a major contribution to variance in alcohol metabolism due to a QTL which accounted for about 64% of the additive genetic covariation common to both blood and breath alcohol readings at the first time point. No effects of the ADH1B*47His or ADH1C*349Ile alleles on in vivo metabolism were observed, although these have been shown to have major effects in vitro. This implies that there is a major determinant of variation for in vivo alcohol metabolism in the ADH region that is not accounted for by these polymorphisms. Earlier analyses of these data suggested that alcohol metabolism is related to drinking behavior and imply that this QTL may be protective against alcohol dependence.

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The rising consumption of alcohol per capita in Britain over the past 20 years has produced large increases in the prevalence of alcoholic cirrhosis, alcohol related violence, and heavy alcohol use, costing the British economy around £30bn ($55bn; {euro}44bn) a year.1 About 7.5% of men and 2.1% of women in Britain are dependent on alcohol, among the highest rates in the European Union.2 Two papers in this issue show that two relatively brief psychosocial interventions—motivational enhancement treatment and social network therapy—are effective and cost effective in treating alcohol dependence, when delivered under routine clinical conditions in the NHS.3 4 The UK government could realise its stated aim of increasing access to effective treatments for alcohol dependence by investing in these interventions. Britain also urgently needs to reduce the high rates of high risk drinking that produce dependence, health problems, and public disorder. Epidemiologists see the key drivers of rising consumption . . . [Full text of this article]

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Aims: The aim of this study was to quantify the relationship between acute alcohol consumption and injury type (nature of injury, body region injured), while adjusting for the effect of known confounders (i.e. demographic and situational variables, usual drinking patterns, substance use and risk-taking behaviour). Methods: A cross-sectional study was conducted between October, 2000 and October, 2001 of patients aged >= 15 years presenting to a Queensland Emergency Department for treatment of an injury sustained in the preceding 24 h. There were three measures of acute alcohol consumption: drinking setting, quantity, and beverage type consumed in the 6 h prior to injury. Two variables were used to quantify injury type: nature of injury (fracture/dislocation, superficial, internal, and CNS injury) and body part injured (head/neck, facial, chest, abdominal, external, and extremities). Both were derived from patient medical records. Results: Five hundred and ninety three patients were interviewed. Logistic regression analyses indicated that, after controlling for relevant confounding variables, there was no significant association between any of the three measures of acute alcohol consumption and injury type. Conclusions: The effects of acute alcohol consumption are not specific to injury type. Interventions aimed at reducing the incidence of alcohol-related injury should not be targeted at specific injury types.

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The measurement of alcohol craving began with single-item scales. Multifactorial scales developed with the intention to capture more fully the phenomenon of craving. This study examines the construct validity of a multifactorial scale, the Yale-Brown Obsessive Compulsive Scale for heavy drinking (Y-BOCS-hd). The study compares its clinical utility with a single item visual-analogue craving scale. The study includes 212 alcohol dependent subjects (127 males, 75 females) undertaking an outpatient treatment program between 1999-2001. Subjects completed the Y-BOCS-hd and a single item visual-analogue scale, in addition to alcohol consumption and dependence severity measures. The Y-BOCS-hd had strong construct validity. Both the visual-analogue alcohol craving scale and Y-BOCS-hd were weakly associated with pretreatment dependence severity. There was a significant association between pretreatment alcohol consumption and the visual-analogue craving scale. Neither craving measure was able to predict total program abstinence or days abstinent. The relationship between obsessive-compulsive behavior in alcohol dependence and craving remains unclear.

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The aim of this study was to test the cognitive model [Addict. Behav. 29 (2004) 159] of binge drinking in university students. In Study 1, 202 participants completed the Drinking Expectancy Questionnaire (DEQ), the Drinking Refusal Self-Efficacy Questionnaire (DRSEQ), and the Khavari Alcohol Test (KAT). The results showed that both alcohol expectancies (AEs) and drinking refusal self-efficacy (DRSE) are needed to discriminate between binge, social, and heavy drinkers. In general, binge drinkers tend to have higher AEs than social drinkers, and have slightly lower DRSE. However, young social and binge drinkers can only be discriminated on the basis of their AEs. One hundred and fourteen students were recruited for the second study, to predict which individuals would engage in binge drinking during a 4-week self-monitoring period. Over 80% of predicted binge drinkers binged at least once during the monitoring period. These two studies confirmed the cognitive model of binge drinking, and thus, hold implications for the prevention of binge drinking among adolescents and young adults. (C) 2004 Elsevier Ltd. All rights reserved.

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The present study evaluated the effectiveness of attendance at a clinically based, short-term, in-patient group CBT program largely based on Monti, Abrams, Kadden, and Cooney(1) to treat problem drinking. Participants were 37 males and 34 females diagnosed with alcohol dependence. Patients attended 42 CBT sessions over three weeks, with each session being one hour in duration. Measures included the Khavari Alcohol Test (KAT), the Short Alcohol Dependence Data Questionnaire (SADD), the Beck Anxiety Index (BAI), the Symptom Checklist-90-Revised (SCL-90), a General Self-Efficacy scale (GSE), and the Drinking Expectancy Profile (DEP). Group attendance rates were monitored daily. Two structured phone calls were conducted at one month and three months post-discharge. Results showed that attendance rates at CBT group sessions were not associated with improvements found at the end of therapy or in drinking behaviors at three-month follow-up. Full support could not be found for the effectiveness of group CBT and cognitive models of problem drinking.

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