Literature DB >> 17623386

Comparative quantification of alcohol exposure as risk factor for global burden of disease.

Jürgen Rehm1, Jens Klotsche, Jayadeep Patra.   

Abstract

Alcohol has been identified as one of the most important risk factors in the burden experienced as a result of disease. The objective of the present contribution is to establish a framework to comparatively quantify alcohol exposure as it is relevant for burden of disease. Different key indicators are combined to derive this quantification. First, adult per capita consumption, composed of recorded and unrecorded consumption, yields the best overall estimate of alcohol exposure for a country or region. Second, survey information is used to allocate the per capita consumption into sex and age groups. Third, an index for detrimental patterns of drinking is used to determine the additional impact on injury and cardiovascular burden. The methodology is applied to estimate global alcohol exposure for the year 2002. Finally, assumptions and potential problems of the approach are discussed. Copyright (c) 2007 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17623386      PMCID: PMC6878477          DOI: 10.1002/mpr.204

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  16 in total

1.  Estimates of total alcohol consumption in Russia, 1980-1994.

Authors:  A V Nemtsov
Journal:  Drug Alcohol Depend       Date:  2000-02-01       Impact factor: 4.492

Review 2.  Relation between average alcohol consumption and disease: an overview.

Authors:  E Gutjahr; G Gmel; J Rehm
Journal:  Eur Addict Res       Date:  2001-08       Impact factor: 3.015

Review 3.  Selected major risk factors and global and regional burden of disease.

Authors:  Majid Ezzati; Alan D Lopez; Anthony Rodgers; Stephen Vander Hoorn; Christopher J L Murray
Journal:  Lancet       Date:  2002-11-02       Impact factor: 79.321

4.  The global distribution of average volume of alcohol consumption and patterns of drinking.

Authors:  Jürgen Rehm; Nina Rehn; Robin Room; Maristela Monteiro; Gerhard Gmel; David Jernigan; Ulrich Frick
Journal:  Eur Addict Res       Date:  2003-10       Impact factor: 3.015

5.  Multi-level analysis of alcohol-related injury among emergency department patients: a cross-national study.

Authors:  Cheryl J Cherpitel; Yu Ye; Jason Bond; Jürgen Rehm; Vladimir Poznyak; Scott Macdonald; Martin Stafström; Wei Hao
Journal:  Addiction       Date:  2005-12       Impact factor: 6.526

Review 6.  Measuring quantity, frequency, and volume of drinking.

Authors:  J Rehm
Journal:  Alcohol Clin Exp Res       Date:  1998-04       Impact factor: 3.455

7.  Enhancing the self-report of alcohol consumption in the community: two questionnaire formats.

Authors:  A C King
Journal:  Am J Public Health       Date:  1994-02       Impact factor: 9.308

8.  Alcohol-attributable mortality and potential years of life lost in Canada 2001: implications for prevention and policy.

Authors:  Jürgen Rehm; Jayadeep Patra; Svetlana Popova
Journal:  Addiction       Date:  2006-03       Impact factor: 6.526

9.  Alcohol-related harm and alcohol consumption in Moscow before, during and after a major anti-alcohol campaign.

Authors:  A V Nemtsov
Journal:  Addiction       Date:  1998-10       Impact factor: 6.526

10.  Comparative quantification of health risks conceptual framework and methodological issues.

Authors:  Christopher JL Murray; Majid Ezzati; Alan D Lopez; Anthony Rodgers; Stephen Vander Hoorn
Journal:  Popul Health Metr       Date:  2003-04-14
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  46 in total

1.  Modelling lifetime QALYs and health care costs from different drinking patterns over time: a Markov model.

Authors:  Carolina Barbosa; Benjamin Taylor; Christine Godfrey; Juergen Rehm; Steve Parrott; Colin Drummond
Journal:  Int J Methods Psychiatr Res       Date:  2010-06       Impact factor: 4.035

Review 2.  Alcohol consumption and non-communicable diseases: epidemiology and policy implications.

Authors:  Charles D Parry; Jayadeep Patra; Jürgen Rehm
Journal:  Addiction       Date:  2011-10       Impact factor: 6.526

3.  Methodological biases in estimating the relationship between alcohol consumption and breast cancer: the role of drinker misclassification errors in meta-analytic results.

Authors:  Cornelia Zeisser; Tim R Stockwell; Tanya Chikritzhs
Journal:  Alcohol Clin Exp Res       Date:  2014-08       Impact factor: 3.455

4.  Mortality among patients with frequent emergency department use for alcohol-related reasons in Ontario: a population-based cohort study.

Authors:  Jennifer Hulme; Hasan Sheikh; Edward Xie; Evgenia Gatov; Chenthila Nagamuthu; Paul Kurdyak
Journal:  CMAJ       Date:  2020-11-23       Impact factor: 8.262

Review 5.  The association between alcohol use, alcohol use disorders and tuberculosis (TB). A systematic review.

Authors:  Jürgen Rehm; Andriy V Samokhvalov; Manuela G Neuman; Robin Room; Charles Parry; Knut Lönnroth; Jayadeep Patra; Vladimir Poznyak; Svetlana Popova
Journal:  BMC Public Health       Date:  2009-12-05       Impact factor: 3.295

Review 6.  Cancer risk assessment of ethyl carbamate in alcoholic beverages from Brazil with special consideration to the spirits cachaça and tiquira.

Authors:  Dirk W Lachenmeier; Maria C P Lima; Ian C C Nóbrega; José A P Pereira; Florence Kerr-Corrêa; Fotis Kanteres; Jürgen Rehm
Journal:  BMC Cancer       Date:  2010-06-08       Impact factor: 4.430

7.  Statistical modeling of volume of alcohol exposure for epidemiological studies of population health: the US example.

Authors:  Jürgen Rehm; Tara Kehoe; Gerrit Gmel; Fred Stinson; Bridget Grant; Gerhard Gmel
Journal:  Popul Health Metr       Date:  2010-03-04

8.  How should prevalence of alcohol use disorders be assessed globally?

Authors:  Jürgen Rehm
Journal:  Int J Methods Psychiatr Res       Date:  2016-05-01       Impact factor: 4.035

9.  Method for moderation: measuring lifetime risk of alcohol-attributable mortality as a basis for drinking guidelines.

Authors:  Jürgen Rehm; Robin Room; Benjamin Taylor
Journal:  Int J Methods Psychiatr Res       Date:  2008       Impact factor: 4.035

10.  Ethyl carbamate in alcoholic beverages from Mexico (tequila, mezcal, bacanora, sotol) and Guatemala (cuxa): market survey and risk assessment.

Authors:  Dirk W Lachenmeier; Fotis Kanteres; Thomas Kuballa; Mercedes G López; Jürgen Rehm
Journal:  Int J Environ Res Public Health       Date:  2009-01-20       Impact factor: 3.390

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