A research report from the Emergency Room Collaborative Alcohol Analysis Project (ERCAAP), the WHO Collaborative Study on Alcohol and Injuries and the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Collaborative Study on Alcohol and Injuries.
Article first published online: 21 MAR 2012
© 2012 The Authors, Addiction © 2012 Society for the Study of Addiction
Volume 107, Issue 7, pages 1263–1272, July 2012
How to Cite
Cherpitel, C. J., Ye, Y., Bond, J., Borges, G., Chou, P., Nilsen, P., Ruan, J. and Xiang, X. (2012), Multi-level analysis of alcohol-related injury and drinking pattern: emergency department data from 19 countries. Addiction, 107: 1263–1272. doi: 10.1111/j.1360-0443.2012.03793.x
Presented at the Research Society on Alcoholism annual meeting, Atlanta, GA, 25–29 June 2011, supported by a grant from the US National Institute on Alcohol Abuse and Alcoholism (RO1 2 AA013750-04).
- Issue published online: 6 JUN 2012
- Article first published online: 21 MAR 2012
- Accepted manuscript online: 11 JAN 2012 08:06AM EST
- Submitted 7 April 2011; initial review completed 18 July 2011; final version accepted 4 January 2012
- causal attribution;
Aim While drinking in the event is an important factor in injury occurrence, the pattern of usual drinking may also be important in risk of injury. Explored here is the relationship of an alcohol-related injury with an individual usual drinking pattern.
Design Alcohol-related injury is examined using hierarchical linear models, taking into account individual usual volume of consumption over the past 12 months, as well as aggregate-level detrimental drinking pattern (DDP) and alcohol policy measures.
Setting Data analyzed are from emergency departments (EDs) in 19 countries, comprising three collaborative studies on alcohol and injury, all of which used a similar methodology.
Participants The sample comprised 14 132 injured drinkers across 46 emergency room (ER) studies.
Measurements Alcohol-related injury was measured, separately, by any self-reported drinking prior to injury, a blood alcohol concentration (BAC) ≥ 0.08 and self-reported causal attribution of injury to drinking.
Findings While individual usual volume strongly predicted an alcohol-related injury for all three measures, usual drinking pattern also predicted an alcohol-related injury (controlling for volume), with episodic heavy and frequent heavy drinking both more predictive of alcohol-related injury than other drinking patterns. When individual usual volume and drinking pattern were controlled, DDP was no longer a significant predictor of alcohol-related injury. Alcohol policy measures were predictive of both BAC and causal attribution (the stronger the policy the lower the rates of alcohol-related injury).
Conclusions Volume of alcohol typically consumed and occurrence of heavy drinking episodes are associated independently with incidence of alcohol-related injury. The stronger the anti-alcohol policies in a country, the lower the rates of alcohol-related injury.