Literature DB >> 12170115

WHO/ISBRA Study on State and Trait Markers of Alcohol Use and Dependence: analysis of demographic, behavioral, physiologic, and drinking variables that contribute to dependence and seeking treatment. International Society on Biomedical Research on Alcoholism.

Jason Glanz1, Bridget Grant, Maristela Monteiro, Boris Tabakoff.   

Abstract

BACKGROUND: Discussions between the World Health Organization (WHO) and the International Society on Biomedical Research on Alcoholism (ISBRA) identified the need for a multiple-center international study on state and trait markers of alcohol abuse and alcohol dependence. The reasoning behind the generation of such a project included the need to understand the alcohol use characteristics of diverse populations and the performance of biological markers of alcohol use in a variety of settings throughout the world. A second major reason for initiating this study was to collect DNA for well-structured and stratified association studies between genetic markers and/or "candidate" genes and behavioral/physiological phenotypes of importance to predisposition to alcohol dependence.
METHODS: An extensive interview instrument was developed with leadership from the U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA). The instrument was translated from English to Finnish, French, German, Japanese, and Portuguese (Brazilian). One thousand eight hundred sixty-three subjects were recruited at five clinical centers (Montreal, Canada; Helsinki, Finland; Sapporo, Japan; São Paulo, Brazil; and Sydney, Australia). The subjects responded to the structured interview and provided blood and urine samples for biochemical analysis. This article focuses on the demographic characteristics of the study subjects, their drinking habits, alcohol-dependence characteristics, comorbid psychiatric and other drug variables, and predictors for seeking treatment for alcohol dependence. Multiple logistic regression models were constructed and used to explore variables that contribute to various levels of alcohol consumption, to a diagnosis of alcohol dependence, and to seeking treatment for alcohol dependence. ANOVA with post hoc comparisons, chi2, and Pearson moment calculations were used as necessary to assess additional relationships between variables.
RESULTS: A number of factors previously noted in disparate studies were confirmed in our analysis. Men consumed more alcohol than women, Asians consumed less alcohol than whites or Blacks, alcohol-dependent subjects consumed more alcohol than nondependent subjects, alcohol consumption increased with age, and an increased level of education (university or postgraduate education) reduced the percentage of such individuals in the category designated as heavy drinkers (>210 g alcohol/week) and in the group who were currently in treatment for dependence. However, our analysis allowed for much more detailed comparisons; for example, although men drank more than women on a g/day basis, the differences were less pronounced on g/kg/day basis, and alcohol-dependent women drank equal amounts of alcohol as alcohol-dependent men on a g/kg/day basis. Antisocial personality characteristics or reports of trouble sleeping when an individual stops drinking were associated with higher alcohol intake. The most important of the tested factors that contributed to a DSM-IV diagnosis of dependence, however, was the report of anxiety if an individual stopped drinking. In terms of the various criteria within the DSM-IV criteria for alcohol dependence, no one criterion seemed to be prominent for individuals who sought alcohol dependence treatment, but the higher the number of criteria met by the individual, the higher was the probability that he or she would be in treatment.
CONCLUSIONS: This initial report is the beginning of the "data mining" of this rich data set. The cross-national/cross-cultural aspects of this study allowed for multiple comparisons of variables across several ethnic/racial groups and allowed for assessment of biochemical markers for alcohol intake and predisposition to alcohol dependence in diverse settings.

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Year:  2002        PMID: 12170115

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  10 in total

1.  Antisocial Behavioral Syndromes in Adulthood and Alcohol Use Disorder Treatment over Three-Year Follow-Up: Results from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Risë B Goldstein; Deborah A Dawson; Bridget F Grant
Journal:  J Am Psychiatr Nurses Assoc       Date:  2010-07       Impact factor: 2.385

2.  The biometric measurement of alcohol consumption.

Authors:  Lawrence D Snell; Vijay A Ramchandani; Laura Saba; David Herion; Markus Heilig; David T George; Lutz Pridzun; Anders Helander; Melanie L Schwandt; Monte J Phillips; Paula L Hoffman; Boris Tabakoff
Journal:  Alcohol Clin Exp Res       Date:  2011-09-06       Impact factor: 3.455

3.  Treatment seeking and subsequent 1-year drinking outcomes among treatment clients in Sweden and the U.S.A.: a cross-cultural comparison.

Authors:  Jane Witbrodt; Anders Romelsjö
Journal:  Addict Behav       Date:  2012-05-25       Impact factor: 3.913

4.  Healthy lifestyle behaviors and decreased risk of mortality in a large prospective study of U.S. women and men.

Authors:  Gundula Behrens; Beate Fischer; Simone Kohler; Yikyung Park; Albert R Hollenbeck; Michael F Leitzmann
Journal:  Eur J Epidemiol       Date:  2013-03-27       Impact factor: 8.082

5.  Genetical genomic determinants of alcohol consumption in rats and humans.

Authors:  Boris Tabakoff; Laura Saba; Morton Printz; Pam Flodman; Colin Hodgkinson; David Goldman; George Koob; Heather N Richardson; Katerina Kechris; Richard L Bell; Norbert Hübner; Matthias Heinig; Michal Pravenec; Jonathan Mangion; Lucie Legault; Maurice Dongier; Katherine M Conigrave; John B Whitfield; John Saunders; Bridget Grant; Paula L Hoffman
Journal:  BMC Biol       Date:  2009-10-27       Impact factor: 7.431

6.  Sociodemographic predictors of transitions across stages of alcohol use, disorders, and remission in the National Comorbidity Survey Replication.

Authors:  Amanda Kalaydjian; Joel Swendsen; Wai-Tat Chiu; Lisa Dierker; Louisa Degenhardt; Meyer Glantz; Kathleen R Merikangas; Nancy Sampson; Ronald Kessler
Journal:  Compr Psychiatry       Date:  2008-11-22       Impact factor: 3.735

7.  Serum gamma-glutamyl transferase: a novel biomarker for coronary artery disease.

Authors:  Yu Mao; Xiaolong Qi; Wenjun Xu; Haoming Song; Mingxin Xu; Wanrong Ma; Lin Zhou
Journal:  Med Sci Monit       Date:  2014-04-30

8.  Factors Contributing to Alcohol Relapse in a Rural Population: Lessons from a Camp-Based De-Addiction Model from Rural Karnataka.

Authors:  Rahul Rampure; Leeberk Raja Inbaraj; Carolin George Elizabeth; Gift Norman
Journal:  Indian J Community Med       Date:  2019 Oct-Dec

9.  A cross-sectional study of personality traits in women previously treated or untreated for alcohol use disorders.

Authors:  Anette Ostlund; Gunnel Hensing; Annika Jakobsson; Valter Sundh; Fredrik Spak
Journal:  Subst Abuse Treat Prev Policy       Date:  2007-08-06

10.  Does Effectiveness of Adolescent Smoking-Cessation Intervention Endure Into Young Adulthood? 7-Year Follow-Up Results from a Group-Randomized Trial.

Authors:  Arthur V Peterson; Patrick M Marek; Kathleen A Kealey; Jonathan B Bricker; Evette J Ludman; Jaimee L Heffner
Journal:  PLoS One       Date:  2016-02-01       Impact factor: 3.240

  10 in total

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