Literature DB >> 12086138

Alcohol consumption, setting, gender and activity as predictors of injury: a population-based case-control study.

Tim Stockwell1, Roberta McLeod, Margaret Stevens, Mike Phillips, Matthew Webb, George Jelinek.   

Abstract

OBJECTIVE: A population-based case-control design was employed to quantify the risk of injury after consumption of alcohol as a function of setting, concurrent activity and usual drinking habits.
METHOD: A total of 797 cases (66.6% men) and 797 controls (57.7% women) were interviewed. The response rate was 83% for eligible cases approached for an interview. Cases were injured patients from a hospital emergency department. Community controls used were each paired with a case on suburb of residence, and interviewed regarding their activities in the 6-hour period preceding their paired case's injury.
RESULTS: Self-reported alcohol consumption was consistent with both medical records and breath-analyzer tests. Drinking any alcohol and using prescribed medication in the prior 6 hours were both associated with significantly increased risk of injury when controlling for demographic and setting variables. Use of illicit drugs (mainly cannabis) was associated with reduced risk of injury. Setting (e.g., recreational, work) and activity (e.g., sport, travel, work) variables were also independently associated with risk of injury. The risk of injury for women was significantly elevated for any consumption of alcohol; for men it was elevated only when consumption exceeded 90 grams.
CONCLUSIONS: These data confirm earlier findings that risk of injury for women for a given level of consumption is greater than for men. They extend earlier findings by identifying significant setting, activity and drug use variables predictive of injury. In addition, when these latter variables are controlled, it is found that for women, but not for men, the risk of injury is significantly elevated even at low levels of alcohol intake.

Entities:  

Mesh:

Year:  2002        PMID: 12086138     DOI: 10.15288/jsa.2002.63.372

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  24 in total

1.  Hospital-admitted injury attributable to alcohol.

Authors:  Ted R Miller; Rebecca S Spicer
Journal:  Alcohol Clin Exp Res       Date:  2011-10-17       Impact factor: 3.455

2.  Alcohol use disorder in women: Risks and consequences of an adolescent onset and persistent course.

Authors:  Katherine T Foster; Brian M Hicks; William G Iacono; Matthew McGue
Journal:  Psychol Addict Behav       Date:  2014-06

3.  The interactive effect of location, alcohol consumption and non-traffic injury.

Authors:  Yu Ye; Cheryl J Cherpitel; Jane Witbrodt; Gabriel Andreuccetti; Robin Room
Journal:  Addiction       Date:  2020-02-18       Impact factor: 6.526

4.  "Not getting tanked": definitions of moderate drinking and their health implications.

Authors:  Carla A Green; Michael R Polen; Shannon L Janoff; David K Castleton; Nancy A Perrin
Journal:  Drug Alcohol Depend       Date:  2006-08-22       Impact factor: 4.492

5.  Dose-Response Relative Risk of Injury From Acute Alcohol Consumption in 22 Countries: Are Women at Higher Risk Than Men?

Authors:  Cheryl J Cherpitel; Yu Ye; Maristela G Monteiro
Journal:  Alcohol Alcohol       Date:  2019-07-01       Impact factor: 2.826

6.  Alcohol consumption, risk of injury, and high-cost medical care.

Authors:  Helena J Salomé; Michael T French; Helen Matzger; Constance Weisner
Journal:  J Behav Health Serv Res       Date:  2005 Oct-Dec       Impact factor: 1.505

Review 7.  A systematic review and meta-analysis of alcohol consumption and injury risk as a function of study design and recall period.

Authors:  Cornelia Zeisser; Tim R Stockwell; Tanya Chikritzhs; Cheryl Cherpitel; Yu Ye; Christian Gardner
Journal:  Alcohol Clin Exp Res       Date:  2012-08-30       Impact factor: 3.455

8.  [Commentary] Low-risk drinking limits: absolute versus relative risk.

Authors:  Deborah A Dawson
Journal:  Addiction       Date:  2009-08       Impact factor: 6.526

9.  Risk of injury due to alcohol: evaluating potential bias using the case-crossover usual-frequency method.

Authors:  Yu Ye; Jason Bond; Cheryl J Cherpitel; Tim Stockwell; Scott Macdonald; Jürgen Rehm
Journal:  Epidemiology       Date:  2013-03       Impact factor: 4.822

10.  Risk factors influencing the occurrence of injuries in koreans requiring hospitalization.

Authors:  Kyung Won Paek; Ki Hong Chun; Joon Pil Cho
Journal:  Yonsei Med J       Date:  2007-04-30       Impact factor: 2.759

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.