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Days Heavy Drinking (day + heavy_drinking)
Selected AbstractsAlcohol control policies and alcohol consumption by youth: a multi-national studyADDICTION, Issue 11 2009Mallie J. Paschall ABSTRACT Aims The study examined relationships between alcohol control policies and adolescent alcohol use in 26 countries. Design Cross-sectional analyses of alcohol policy ratings based on the Alcohol Policy Index (API), per capita consumption and national adolescent survey data. Setting Data are from 26 countries. Participants Adolescents (aged 15,17 years) who participated in the 2003 European School Survey Project on Alcohol and Other Drugs (ESPAD) or national secondary school surveys in Spain, Canada, Australia, New Zealand and the United States. Measurements Alcohol control policy ratings based on the API; prevalence of alcohol use, heavy drinking and first drink by age 13 based on national secondary school surveys; per capita alcohol consumption for each country in 2003. Analysis Correlational and linear regression analyses were conducted to examine relationships between alcohol control policy ratings and past 30-day prevalence of adolescent alcohol use, heavy drinking and having first drink by age 13. Per capita consumption of alcohol was included as a covariate in regression analyses. Findings More comprehensive API ratings and alcohol availability and advertising control ratings were related inversely to the past 30-day prevalence of alcohol use and prevalence rates for drinking three to five times and six or more times in the past 30 days. Alcohol advertising control was also related inversely to the prevalence of past 30-day heavy drinking and having first drink by age 13. Most of the relationships between API, alcohol availability and advertising control and drinking prevalence rates were attenuated and no longer statistically significant when controlling for per capita consumption in regression analyses, suggesting that alcohol use in the general population may confound or mediate observed relationships between alcohol control policies and youth alcohol consumption. Several of the inverse relationships remained statistically significant when controlling for per capita consumption. Conclusions More comprehensive and stringent alcohol control policies, particularly policies affecting alcohol availability and marketing, are associated with lower prevalence and frequency of adolescent alcohol consumption and age of first alcohol use. [source] Ethnic differences in drinking outcomes following a brief alcohol intervention in the trauma care settingADDICTION, Issue 1 2010Craig A. Field ABSTRACT Background Evidence suggests that brief interventions in the trauma care setting reduce drinking, subsequent injury and driving under the influence (DUI) arrest. However, evidence on the effectiveness of these interventions in ethnic minority groups is lacking. The current study evaluates the efficacy of brief intervention among whites, blacks and Hispanics in the United States. Methods We conducted a two-group parallel randomized trial comparing brief motivational intervention (BMI) and treatment as usual with assessment (TAU+) to evaluate treatment differences in drinking patterns by ethnicity. Patients were recruited from a level 1 urban trauma center over a 2-year period. The study included 1493 trauma patients, including 668 whites, 288 blacks and 537 Hispanics. Hierarchical linear modeling was used to evaluate ethnic differences in drinking outcomes including volume per week, maximum amount consumed in 1 day, percentage days abstinent and percentage days heavy drinking at 6- and 12-month follow-up. Analyses controlled for age, gender, employment status, marital status, prior alcohol treatment, type of injury and injury severity. Special emphasis was given to potential ethnic differences by testing the interaction between ethnicity and BMI. Results At 6- and 12-month follow-up, BMI significantly reduced maximum amount consumed in 1 day (P < 0.001; P < 0.001, respectively) and percentage days heavy drinking (P < 0.05; P < 0.05, respectively) among Hispanics. Hispanics in the BMI group also reduced average volume per week at 12-month follow-up (,2 = 6.8, df = 1, P < 0.01). In addition, Hispanics in TAU+ reduced maximum amount consumed at 6- and 12-month follow-up (P < 0.001; P < 0.001) and volume per week at 12-month follow-up (P < 0.001). Whites and blacks in both BMI and TAU+ reduced volume per week and percentage days heavy drinking at 12-month follow-up (P < 0.001; P < 0.01, respectively) and decreased maximum amount at 6- (P < 0.001) and 12-month follow-up (P < 0.001). All three ethnic groups In both BMI and TAU+ reduced volume per week at 6-month follow-up (P < 0.001) and percentage days abstinent at 6- (P < 0.001) and 12-month follow-up (P < 0.001). Conclusions All three ethnic groups evidenced reductions in drinking at 6- and 12-month follow-up independent of treatment assignment. Among Hispanics, BMI reduced alcohol intake significantly as measured by average volume per week, percentage days heavy drinking and maximum amount consumed in 1 day. [source] Facilitating involvement in Alcoholics Anonymous during out-patient treatment: a randomized clinical trialADDICTION, Issue 3 2009Kimberly S. Walitzer ABSTRACT Aim This study evaluated two strategies to facilitate involvement in Alcoholics Anonymous (AA),a 12-Step-based directive approach and a motivational enhancement approach,during skills-focused individual treatment. Design Randomized controlled trial with assessments at baseline, end of treatment and 3, 6, 9 and 12 months after treatment. Participants, setting and intervention A total of 169 alcoholic out-patients (57 women) assigned randomly to one of three conditions: a directive approach to facilitating AA, a motivational enhancement approach to facilitating AA or treatment as usual, with no special emphasis on AA. Measurements Self-report of AA meeting attendance and involvement, alcohol consumption (percentage of days abstinent, percentage of days heavy drinking) and negative alcohol consequences. Findings Participants exposed to the 12-Step directive condition for facilitating AA involvement reported more AA meeting attendance, more evidence of active involvement in AA and a higher percentage of days abstinent relative to participants in the treatment-as-usual comparison group. Evidence also suggested that the effect of the directive strategy on abstinent days was mediated partially through AA involvement. The motivational enhancement approach to facilitating AA had no effect on outcome measures. Conclusions These results suggest that treatment providers can use a 12-Step-based directive approach to effectively facilitate involvement in AA and thereby improve client outcome. [source] Assessing Drinking Outcomes in Alcohol Treatment Efficacy Studies: Selecting a Yardstick of SuccessALCOHOLISM, Issue 10 2003Linda Carter Sobell Background: Although the number of alcohol treatment efficacy trials has mushroomed, there is no consensus on how best to measure outcomes. To advance the goal of establishing cross-trial consistency in measuring outcomes in clinical efficacy studies, the National Institute on Alcohol Abuse and Alcoholism convened a panel of experts and charged them with exploring, debating, and, ultimately, selecting a "sentinel" or "optimal" outcome measure to be used in future alcohol treatment studies. The goal of this article, one in a series of several presented at the National Institute on Alcohol Abuse and Alcoholism conference, is to discuss (1) the rationale underlying selection of an optimal outcome measure, (2) the necessary characteristics of an optimal outcome measure, (3) the utility of selecting an optimal measure, and (4) which drinking assessment methods could be used to collect data to portray the optimal outcome measure. Methods: At a minimum, the criteria for an "optimal" measure include that it be psychometrically sound. In addition, it should have considerable currency in the field, thereby increasing its prospects for adoption. The measure should also be consistent with the concepts of greatest interest and relevance to the field (e.g., directly reflect the fundamental goal of alcohol treatment). In light of these highly desired features, percent of days heavy drinking was chosen at the conference as a practical and relevant measure of alcohol treatment outcome. Conclusions: Percent of days heavy drinking should be the optimal measure of alcohol treatment outcome. Currently, daily drinking estimation methods are the most useful for gathering data that can reflect the optimal measure. In addition, data gathered by daily drinking estimation methods can be used to study a variety of other outcome variables of interest to clinical researchers. [source] |