This study was presented at the Kettil Bruun Society for Social and Epidemiological Research on Alcohol, Torino, Italy, 9–13 June 2014.
Relative risk of injury from acute alcohol consumption: modeling the dose–response relationship in emergency department data from 18 countries
Version of Record online: 13 NOV 2014
© 2014 Society for the Study of Addiction
Volume 110, Issue 2, pages 279–288, February 2015
How to Cite
2015) Relative risk of injury from acute alcohol consumption: modeling the dose–response relationship in emergency department data from 18 countries, Addiction, 110, 279–288, doi: 10.1111/add.12755., , , and (
- Issue online: 19 JAN 2015
- Version of Record online: 13 NOV 2014
- Accepted manuscript online: 30 OCT 2014 01:28AM EST
- Manuscript Accepted: 26 SEP 2014
- Manuscript Revised: 19 MAY 2014
- Manuscript Received: 13 FEB 2014
- US National Institute on Alcohol Abuse and Alcoholism (NIAAA). Grant Number: RO1 2 AA013750-04
- NIAAA. Grant Number: AA 005595
- Detrimental drinking pattern;
- emergency department;
- injury cause;
- injury risk
To update and extend analysis of the dose–response relationship of injury and drinking by demographic and injury subgroups and country-level drinking pattern, and examine the validity and efficiency of the fractional polynomial approach to modeling this relationship.
Pair-matched case–cross-over analysis of drinking prior to injury, using categorical step-function and fractional polynomial analysis.
Thirty-seven emergency departments (EDs) across 18 countries.
A total of 13 119 injured drinkers arriving at the ED within 6 hours of the event.
The dose–response relationship was analyzed by gender, age, cause of injury (traffic, violence, fall, other) and country detrimental drinking pattern (DDP).
Estimated risks were similar between the two analytical methods, with injury risk doubling at one drink [odds ratio (OR) = 2.3–2.7] and peaking at about 30 drinks. Although risk was similar for males and females up to three drinks (OR = 4.6), it appeared to increase more rapidly for females and was significantly higher starting from 20 drinks [female OR = 28.6; confidence interval (CI) = 16.8, 48.9; male OR = 12.8; CI = 10.1, 16.3]. No significant differences were found across age groups. Risk was significantly higher for violence-related injury than for other causes across the volume range. Risk was also higher at all volumes for DDP-3 compared with DDP-2 countries.
There is an increasing risk relationship between alcohol and injury but risk is not uniform across gender, cause of injury or country drinking pattern. The fractional polynomial approach is a valid and efficient approach for modeling the alcohol injury risk relationship.