999 resultados para alcohol licensing


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Background: Recent work suggests that 2 biologically based traits convey risk for alcohol misuse: reward sensitivity ⁄ drive and (rash) impulsiveness. However, the cognitive mechanisms through which these traits convey risk are unclear. This study tested a model predicting that the risk conveyed by reward sensitivity is mediated by a learning bias for the reinforcing outcomes of alcohol consumption (i.e., positive alcohol expectancy). The model also proposed that the risk conveyed by rash impulsiveness (RI) is mediated by drinkers’ perceived ability to resist alcohol (i.e., drinking refusal self-efficacy).
Methods: Study 1 tested the model in a sample of young adults (n = 342). Study 2 tested the model in a sample of treatment-seeking substance abusers (n = 121). All participants completed a battery of personality, cognitive, and alcohol use questionnaires and models were tested using structural equation modeling.
Results: In both studies, the hypothesized model was found to provide a good fit to the data, and a better fit than alternative models. In both young adults and treatment-seeking individuals, positive alcohol expectancy fully mediated the association between reward sensitivity and hazardous alcohol use. For treatment seekers, drinking refusal self-efficacy fully mediated the association between RI and hazardous drinking. However, there was partial mediation in the young adult sample. Furthermore, neither trait was directly associated with the other cognitive mediator.
Conclusions: The hypothesized model was confirmed on a large sample of young adults and replicated on a sample of treatment-seeking substance abusers. Taken together, these findings shed further light on the mechanisms through which an impulsive temperament may convey risk for alcohol misuse.

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To describe the presence of alcohol, cannabis and amphetamines in work-related injury deaths in Victoria, 2001–6, an observational study of work-related deaths reported to the State Coroner's Office, Victoria, Australia was conducted. Case and postmortem forensic toxicology data were obtained from the National Coroner's Information System for work-related injury deaths with positive toxicology screens. Over 6 years there were 43 worker deaths in a total of 355 unintentional work-related injury deaths. The coroner mentioned the presence of alcohol/drugs in 22 of the 43 worker deaths with positive toxicology screens. Toxicology screens were positive for alcohol and/or drugs in 79 work-related deaths overall. Overall, alcohol was present in 26 (7%) work-related deaths and cannabis or amphetamines in 20 (6%). Incidents were mainly transport related. Alcohol and/or drugs were present in a significant portion of work-related deaths. Research is needed to determine the relative contribution of alcohol and drugs compared with other contributing factors to work-related deaths.

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Purpose: There are inconsistent research findings regarding the impact of rurality on adolescent alcohol, tobacco, and illicit substance use. Therefore, the current study reports on the effect of rurality on alcohol, tobacco, and illicit
drug use among adolescents in 2 state representative samples in 2 countries, Washington State (WA) in the United States and Victoria (VIC) in Australia.
Participants: The International Youth Development Study (IYDS) recruited representative samples of students from Grade 7 (aged 12 to 13 years) and Grade 9 (aged 14 to 15) in both states. A total of 3,729 students responded to questions about alcohol, tobacco, cannabis, and other illicit substance use (nVIC = 1,852; nWA = 1,877). In each state, males and females were equally represented and ages ranged from 12 to 15 years.
Methods: Data were analyzed to compare lifetime and current (past 30 days) substance use for students located in census areas classified as urban, large or small town, and rural. Findings were adjusted for school clustering and
weighted to compare prevalence at median age 14 years.
Findings: Rates of lifetime and current alcohol, tobacco, and cannabis use were significantly higher in rural compared to urban students in both states (odds ratio for current substance use = 1.31).
Conclusions: In both Washington State and Victoria, early adolescent rural students use substances more frequently than their urban counterparts. Future studies should examine factors that place rural adolescents at risk for alcohol, tobacco, and illicit drug use.

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Aims: To examine the relationship between direct alcohol and non-alcohol sponsorship and drinking in Australian sportspeople.
Methods: Australian sportspeople (N = 652; 51% female) completed questionnaires on alcohol and non-alcohol industry sponsorship (from bars, cafes etc.), drinking behaviour (Alcohol Use Disorders Identification Test (AUDIT)) and known confounders.
Results: 31% reported sponsorship (29.8% alcohol industry; 3.7% both alcohol and non-alcohol industry and 1.5% non-alcohol industry only) Multivariate regression showed that receipt of alcohol industry sponsorship was predictive of higher AUDIT scores (βadj = 1.67, 95% confidence interval (CI ): 0.56–2.78), but non-alcohol industry sponsorship and combinations of both were not (βadj = 0.18, 95% CI: −2.61 to 2.68; and βadj = 2.58, 95% CI: −0.60 to 5.76, respectively).
Conclusion: Governments should consider alternatives to alcohol industry sponsorship of sport. Hypothecated taxes on tobacco have been used successfully for replacing tobacco sponsorship of sport in some countries, and may show equal utility for the alcohol industry’s funding of sport.

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Introduction and Aims.To examine client-reported reasons for missed early appointments at a drug and alcohol treatment service and to compare characteristics of those who missed appointments with those who attended. Design and Methods. Clients who missed a first or second appointment between 1 May and 31 August 2007 at a public community-based outpatient treatment facility were invited to participate in a semistructured telephone interview.This consisted of an open-ended question asking the reason(s) for nonattendance, followed by a questionnaire of items for therapeutic alliance and service satisfaction, perceived impact of substance use and previous treatment experience, mostly rated on Likert scales. Database information on demographic and clinical variables was gathered for all clients who were accepted for treatment within the study time frame. Characteristics of those who missed a first or second appointment (n = 66) were compared with those who attended at least their first two appointments (n = 97). Results. Of clients who missed their appointments, 80.6% provided reasons for nonattendance, which included extraneous factors (50.0%), service shortcomings (29.7%), no further need for service (16.2%) and motivational ambivalence (4.1%). They generally had high ratings of therapeutic alliance and service satisfaction and identified their substance use as having a negative impact on their lives. Clients who missed appointments were more likely to be male, unmarried and have a history of polysubstance use. Discussion and Conclusions. Extraneous issues relating to the client may be a dominant obstacle in early treatment engagement. Efforts to overcome these issues may therefore improve early engagement.

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Objective: To describe the pattern of alcohol consumption and associated physical and lifestyle characteristics in a population-based sample of Australian men.
Method: A community-based age-stratifi ed random sample of 1420 men (median age 56 years, range 20 – 93) participating in the Geelong Osteoporosis Study, an epidemiological study set in south-eastern Australia. Daily alcohol intake was ascertained from a detailed food frequency questionnaire and categorized according to the Australian National Health and Medical Research Council 2009 guidelines (non-drinkers, greater than zero but ≤ 2 drinks per day, > 2 drinks per day), with a standard drink equivalent to 10 g of ethanol. Anthropometry was measured and lifestyle factors self-reported. Body composition was determined using dual energy absorptiometry. Socio-economic status was categorized according to the Australian Bureau of Statistics data. Results were age standardized to the Australian male population figures.
Results: The median daily ethanol consumption was 12 g (IQR 2 – 29) per day with a range of 0 – 117 g/day. The age-standardized proportion of non-drinkers was 8.7%, 51.5% consumed up to two drinks per day ( ≤ 20 g ethanol/day), and 39.9% exceeded 2 standard drinks per day ( > 20 g ethanol/day). Alcohol consumption was positively associated with cigarette smoking, weight, higher SES and inversely with age and physical activity.
Conclusions: Approximately, 40% of Australian men consume alcohol at levels in excess of current recommendations, which in combination with other risk factors may adversely impact upon health.

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Background
Farm men and women in Australia have higher levels of problematic alcohol use than their urban counterparts and experience elevated health risks associated with excessive alcohol consumption. The Sustainable Farm Families (SFF) program has worked successfully with farm men and women to address health, well- being and safety and has identified that further research and training is required to understand and address alcohol misuse behaviours. This project will add an innovative component to the program by training health professionals working with farm men and women to discuss and respond to alcohol-related physical and mental health problems.

Methods/Design
A mixed method design with multi-level evaluation will be implemented following the development and delivery of a training program (The Alcohol Intervention Training Program {AITP}) for Sustainable Farm Families health professionals. Pre-, post- and follow-up surveys will be used to assess both the impact of the training on the knowledge, confidence and skills of the health professionals to work with alcohol misuse and associated problems, and the impact of the training on the attitudes, behaviour and mental health of farm men and women who participate in the SFF project. Evaluations will take a range of forms including self-rated outcome measures and interviews.

Discussion
The success of this project will enhance the health and well-being of a critical population, the farm men and women of Australia, by producing an evidence-based strategy to assist them to adopt more positive alcohol-related behaviours that will lead to better physical and mental health.

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Background: Estimates of the economic cost of risk factors for chronic disease to the NHS provide evidence for prioritization of resources for prevention and public health. Previous comparable estimates of the economic costs of poor diet, physical inactivity, smoking, alcohol and overweight/obesity were based on economic data from 1992–93.

Methods: Diseases associated with poor diet, physical inactivity, smoking, alcohol and overweight/obesity were identified. Risk factor-specific population attributable fractions for these diseases were applied to disease-specific estimates of the economic cost to the NHS in the UK in 2006–07.

Results: In 2006–07, poor diet-related ill health cost the NHS in the UK £5.8 billion. The cost of physical inactivity was £0.9 billion. Smoking cost was £3.3 billion, alcohol cost £3.3 billion, overweight and obesity cost £5.1 billion.

Conclusion: The estimates of the economic cost of risk factors for chronic disease presented here are based on recent financial data and are directly comparable. They suggest that poor diet is a behavioural risk factor that has the highest impact on the budget of the NHS, followed by alcohol consumption, smoking and physical inactivity.

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Introduction and Aims. High prevalence mental health (HPMH) comorbidity is common in clients seeking alcohol and other drug (AOD) treatment yet can remain undetected. Although research has reported on the introduction of screening into AOD services, little research has reported on the processes surrounding the introduction or evaluated its effectiveness.This study reports on the implementation and evaluation of brief anxiety and depression screening within a specialised, publicly funded AOD service in South-East Victoria.
Design and Methods. Study one examined the implementation of standardised HPMH screening with 114 adult clients (Mean age = 35.49, SD = 9.53; 64% male) telephoning an AOD service over a 5 week period. Measures included severity of HPMH problems,AOD use, care plans and referrals. Study two used semistructured interviews with nine staff/managers to evaluate the effectiveness of screening and its impact on service delivery.
Results. Ninety-four per cent of clients were identified at risk of anxiety or depression. Most care plans incorporated counselling, and concurrent referrals commonly involved a general practitioner. Staff and management found systematic screening increased identification and understanding of comorbid issues and enhanced client interaction but impacted on resource requirements.
Discussion and Conclusions. Most AOD treatment seekers were identified HPMH comorbid and care plans generally included counselling.Adjunctive referrals were more common for severely depressed clients. Screening was effective and enhanced client rapport.Evaluations revealed low confidence in treating HPMH issues in-house.Training may increase worker confidence in managing mental health interventions with subclinical cases, enhancing services’ ability to move towards dual diagnosis capability.