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. Rehm et al., 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, EUR ADDIC R, 7(3), 2001, pp. 138-147
In order to conduct a comparative risk analysis for alcohol within the Glob
al Burden of Disease Study (GBD 2000), several questions had to be answered
. (1) What are the appropriate dimensions for alcohol consumption and how c
an they be categorized? The average volume of alcohol and patterns of drink
ing were selected as dimensions. Both dimensions could be looked upon as co
ntinuous but were categorized for practical purposes. The average volume of
drinking was categorized into the following categories: abstention; drinki
ng 1 (>0-19.99 g pure alcohol daily for females, >0-39.99 g for males); dri
nking 2 (20-39.99 g for females, 40-59.99 g for males), and drinking 3 ( gr
eater than or equal to 40 g for females, greater than or equal to 60 g for
males). Patterns of drinking were categorized into four levels of detriment
al 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 min
imum for established market economies for all people above age 45. For all
other regions and age groups, the theoretical minimum was set to zero. Pote
ntial problems and uncertainties with this selection are discussed. (3) Wha
t are the health outcomes for alcohol and how do they relate to the dimensi
ons? Overall, more than 60 disease conditions were identified as being rela
ted to alcohol consumption. Most chronic conditions seem to be related to v
olume only (exceptions are coronary heart disease and ischemic stroke), and
most acute conditions seem to be related to volume and patterns. In additi
on, using methodology based on aggregate data, patterns were relevant for a
ttributing harms for men but not women. Copyright (C) 2001 S. Karger AG, Ba
sel.