Table 15: Attributable fractions of acute alcohol-related health effects in the adult general population
| Injury |
ICD-9 |
USA |
AUSTRALIA |
CANADA |
AUSTRALIA |
| Stinson et al.1993 |
English et al.1995 |
Single et al.1996 |
Ridolfo & Stevenson 2001 |
|
|
| F |
M |
F |
M |
F |
M |
F |
M |
| Remarks:Ranges refer to age-specific attributable fractions; minimum (>0) and maximum estimates are shown. |
| Motor vehicle traffic accidents |
E810-E819 |
0.42 |
0.42 |
0.18 |
0.37 |
0.43 |
0.43 |
0.11 for deaths (d) and hospitalizations (h); pedestrians 0.17 (d); 0.06 (h) |
0.33 (d); 024 (h); pedestrians 0.40 (d); 0.37 (h) |
| Motor vehicle nontraffic accidents |
E820-E825 |
0.42 |
0.42 |
0.18 |
0.37 |
0.43 |
0.43 |
| Bicycle accident injuries |
E826 |
0.20 |
0.20 |
0.18 |
0.37 |
0.20 |
0.20 |
| Other road vehicle accident injuries |
E829 |
0.20 |
0.20 |
0.18 |
0.37 |
0.2 |
0.20 |
| Water transport accident injuries |
E830-E839 |
0.20 |
0.20 |
No data |
No data |
0.20 |
0.20 |
No data |
No data |
| Air-space transport accident injuries |
E840-E845 |
0.16 |
0.16 |
No data |
No data |
0.16 |
0.16 |
No data |
No data |
| Accidental ethanol and methanol poisoning |
E860.0-E860.2 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
| Accidental fall injuries |
E880-E888 |
0.35 |
0.35 |
0.34 |
0.34 |
0.13-0.34 |
0.20-0.34 |
0.14 for age <65 ; 0.04> = 65 |
0.22 for age<65 ; 0.12> = 65 |
| Arson injuries |
E890-E899 |
0.45 |
0.45 |
0.44 |
0.44 |
0.38 |
0.38 |
0.44 |
0.44 |
| Accidental excessive cold |
E901 |
0.25 |
0.25 |
No data |
No data |
0.25 |
0.25 |
No data |
No data |
| Accidental drowning |
E910 |
0.38 |
0.38 |
0.34 |
0.34 |
0.31-0.50 |
0.31-0.50 |
0.34 |
0.34 |
| Accidental aspiration |
E911 |
0.25 |
0.25 |
1.00 |
1.00 |
0.25 |
0.25 |
1.00 |
1.00 |
| Striking against / struck by objects |
E917 |
0.25 |
0.25 |
No data |
No data |
0.07 |
0.07 |
No data |
No data |
| Caught in / between objects |
E918 |
0.25 |
0.25 |
No data |
No data |
0.07 |
0.07 |
No data |
No data |
| Occupational and machine injuries |
E919-E920 |
0.25 |
0.25 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
| Accidental firearm missile injuries |
E922 |
0.25 |
0.25 |
No data |
No data |
0.25 |
0.25 |
No data |
No data |
| Suicide, self-inflicted injuries |
E950-E959 |
0.28 |
0.28 |
0.08 |
0.12 |
0.11-0.19 |
0.23-0.31 |
0.29 |
0.32 |
| Victim, fight, brawl,rape |
E960 |
0.46 |
0.46 |
0.47 |
0.47 |
0.27 |
0.27 |
0.47 |
0.47 |
| Victim assault firearms |
E965 |
0.46 |
0.46 |
0.47 |
0.47 |
0.27 |
0.27 |
0.47 |
0.47 |
| Victim assault cutting instrument |
E966 |
0.46 |
0.46 |
0.47 |
0.47 |
0.27 |
0.27 |
0.47 |
0.47 |
| Victim child battering |
E967 |
0.46 |
0.46 |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
| Victim assault other |
E968 |
0.46 |
0.46 |
0.47 |
0.47 |
0.27 |
0.27 |
0.47 |
0.47 |
| Late effects of injuries by another |
E969 |
0.46 |
0.46 |
0.47 |
0.47 |
0.27 |
0.27 |
0.47 |
0.47 |
Source: Rehm et al. (in press)
Source: WHO
Global Status Report on Alcohol 2004, p.48
Related publication:
Other Figures & Tables on this publication:
Table 4: Top 20 countries with highest beverage-specific adult per capita [APC] consumption
Table 6: Rate of last year abstainers among the adult population
Table 7: Heavy drinkers among the adult population
Table 8: Heavy episodic drinkers among the adult population
Table 9: Alcohol dependence among adult population
Table 10: Heavy episodic drinkers among youths
Table 11: Heavy episodic drinkers among young adults aged 18-24 years old
Table 13: Relative risks for beneficial alcohol-related health effects for different drinking categories (compared to abstainers)
Table 15: Attributable fractions of acute alcohol-related health effects in the adult general population
Table 16: Global burden of disease in 2000 attributable to alcohol according to major disease categories (DALYs in 000s)
Table 17: Burden of disease in 2000 attributable to tobacco, alcohol and drugs by developing status and sex
Table 18: Characteristics of adult alcohol consumption in different regions of the world 2000 (population weighted averages)
Table 19: Alcohol-related harm in different regions of the world (population weighted averages), DALYs (000s)
Table 20: Selected population alcohol-attributable fractions, by disease category, sex and level of development (% DALYs for each cause) in 2000
Table 21: Standardized mortality rates (per 100 000) for acute and chronic disease and injury, by WHO regional subgroupings (data shown is for most recent year available)
Table 21 [bis]: Social and economic costs of alcohol abuse for selected countries
Figure 3: Population weighted means of the recorded adult per capita consumption in the WHO Regions 1961-1999
Figure 4: Model of alcohol consumption, mediating variables, and short-term and longterm consequences
Figure 5: Global disease burden (in DALYs) in 2001 from alcohol use disorders, by age group and sex
Figure 6: Global deaths in 2001 from alcohol use disorders, by age group and sex
Footnote on the meaning of "adults"
Table 3: Total recorded alcohol per capita consumption (15+)
Table 5: Estimated volume of unrecorded consumption in litres of pure alcohol per capita for population older than 15 for the years after 1995
Case example 1: India
Case example 2: Venezuela
Case example 3: Malaysia
Case example 4: Uganda
Case example 5: Botswana
Case example 6: Ethiopia
Case example 7: Egypt
Case example 8: Ghana
Case example 9: Kenya
Case example 10: United Republic of Tanzania
Case example 1: Botswana
Case example 2: Nepal
Case example 3: Cameroon
Case example 4: India
Case example 5: Malaysia
