Literature DB >> 11509844

Steps towards constructing a global comparative risk analysis for alcohol consumption: determining indicators and empirical weights for patterns of drinking, deciding about theoretical minimum, and dealing with different consequences.

J Rehm1, M Monteiro, R Room, G Gmel, D Jernigan, U Frick, K Graham.   

Abstract

In order to conduct a comparative risk analysis for alcohol within the Global Burden of Disease Study (GBD 2000), several questions had to be answered. (1) What are the appropriate dimensions for alcohol consumption and how can they be categorized? The average volume of alcohol and patterns of drinking were selected as dimensions. Both dimensions could be looked upon as continuous but were categorized for practical purposes. The average volume of drinking was categorized into the following categories: abstention; drinking 1 (> 0-19.99 g pure alcohol daily for females, > 0-39.99 g for males); drinking 2 (20-39.99 g for females, 40-59.99 g for males), and drinking 3 (> or =40 g for females, > or =60 g for males). Patterns of drinking were categorized into four levels of detrimental impact based on an optimal scaling analysis of key informant ratings. (2) What is the theoretical minimum for both dimensions? A pattern of regular light drinking (at most 1 drink every day) was selected as theoretical minimum for established market economies for all people above age 45. For all other regions and age groups, the theoretical minimum was set to zero. Potential problems and uncertainties with this selection are discussed. (3) What are the health outcomes for alcohol and how do they relate to the dimensions? Overall, more than 60 disease conditions were identified as being related to alcohol consumption. Most chronic conditions seem to be related to volume only (exceptions are coronary heart disease and ischemic stroke), and most acute conditions seem to be related to volume and patterns. In addition, using methodology based on aggregate data, patterns were relevant for attributing harms for men but not women.

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Year:  2001        PMID: 11509844     DOI: 10.1159/000050731

Source DB:  PubMed          Journal:  Eur Addict Res        ISSN: 1022-6877            Impact factor:   3.015


  50 in total

1.  How stable is the risk curve between alcohol and all-cause mortality and what factors influence the shape? A precision-weighted hierarchical meta-analysis.

Authors:  Gerhard Gmel; Elisabeth Gutjahr; Jürgen Rehm
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

2.  The influence of drinking pattern, at individual and aggregate levels, on alcohol-related negative consequences.

Authors:  M Astudillo; S Kuntsche; K Graham; G Gmel
Journal:  Eur Addict Res       Date:  2010-04-01       Impact factor: 3.015

3.  Association of alcohol consumption to mortality and person-years of life lost in Switzerland--measuring the impact of some methodological options.

Authors:  Elisabeth Gutjahr; Gerhard Gmel
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

4.  Attributable risk of injury associated with alcohol use: cross-national data from the emergency room collaborative alcohol analysis project.

Authors:  Cheryl J Cherpitel; Yu Ye; Jason Bond
Journal:  Am J Public Health       Date:  2005-02       Impact factor: 9.308

5.  Prevention of substance abuse: a brief overview.

Authors:  María Elena Medina-Mora
Journal:  World Psychiatry       Date:  2005-02       Impact factor: 49.548

6.  Substance-attributable morbidity and mortality changes to Canada's epidemiological profile: measurable differences over a ten-year period.

Authors:  Jayadeep Patra; Benjamin Taylor; Jürgen T Rehm; Dolly Baliunas; Svetlana Popova
Journal:  Can J Public Health       Date:  2007 May-Jun

7.  Reduction in male suicide mortality following the 2006 Russian alcohol policy: an interrupted time series analysis.

Authors:  William Alex Pridemore; Mitchell B Chamlin; Evgeny Andreev
Journal:  Am J Public Health       Date:  2013-09-12       Impact factor: 9.308

8.  Risk of Alcohol-Related Injury: Does Societal Drinking Context Make a Difference?

Authors:  Cheryl J Cherpitel; Rachael A Korcha; Jane Witbrodt; Yu Ye
Journal:  J Stud Alcohol Drugs       Date:  2018-11       Impact factor: 2.582

Review 9.  A meta-analysis of acute use of alcohol and the risk of suicide attempt.

Authors:  G Borges; C L Bagge; C J Cherpitel; K R Conner; R Orozco; I Rossow
Journal:  Psychol Med       Date:  2016-12-08       Impact factor: 7.723

10.  A multi-level analysis of emergency department data on drinking patterns, alcohol policy and cause of injury in 28 countries.

Authors:  Cheryl J Cherpitel; Jane Witbrodt; Yu Ye; Rachael Korcha
Journal:  Drug Alcohol Depend       Date:  2018-09-12       Impact factor: 4.492

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