Literature DB >> 16536125

Acute alcohol consumption and mechanism of injury.

Kerrianne Watt1, David M Purdie, Ann M Roche, Rod McClure.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether injury mechanism among injured patients is differentially distributed as a function of acute alcohol consumption (quantity, type, and drinking setting).
METHOD: A cross-sectional study was conducted between October 2000 and October 2001 in the Gold Coast Hospital Emergency Department, Queensland, Australia. Data were collected quarterly over a 12-month period. Every injured patient who presented to the emergency department during the study period for treatment of an injury sustained less than 24 hours prior to presentation was approached for interview. The final sample comprised 593 injured patients (males=377). Three measures of alcohol consumption in the 6 hours prior to injury were obtained from self-report: quantity, beverage type, and drinking setting. The main outcome measure was mechanism of injury, which was categorized into six groups: road traffic crash (RTC), being hit by or against something, fall, cut/piercing, overdose/poisoning, and miscellaneous. Injury intent was also measured (intentional vs. unintentional).
RESULTS: After controlling for relevant confounding variables, neither quantity nor type of alcohol was significantly associated with injury mechanism. However, drinking setting (i.e., licensed premise) was significantly associated with increased odds of sustaining an intentional versus unintentional injury (odds ratio [OR] = 2.79, 95% confidence interval [CI] = 1.4-5.6); injury through being hit by/against something versus other injury types (OR = 2.59, 95% CI = 1.4-4.9); and reduced odds of sustaining an injury through RTC versus non-RTC (OR = 0.02, 95% CI = 0.004-0.9), compared with not drinking alcohol prior to injury.
CONCLUSIONS: No previous analytical studies have examined the relationship between injury mechanism and acute alcohol consumption (quantity, type, and setting) across all types of injury and all injury severities while controlling for potentially important confounders (demographic and situational confounders, risk-taking behavior, substance use, and usual drinking patterns). These data suggest that among injured patients, mechanism of injury is not differentially distributed as a function of quantity or type of acute alcohol consumption but may be differentially distributed as a function of drinking setting (i.e., RTC, intentional injury, being hit). Therefore, prevention strategies that focus primarily on the quantity and type of alcohol consumed should be directed generically across injury mechanisms and not limited to particular cause of injury campaigns.

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Year:  2006        PMID: 16536125     DOI: 10.15288/jsa.2006.67.14

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


  5 in total

1.  A cost analysis of web-enhanced training to reduce alcohol sales to intoxicated bar patrons.

Authors:  Timothy F Page; Dawn M Nederhoff; Alexandra M Ecklund; Keith J Horvath; Toben F Nelson; Darin J Erickson; Traci L Toomey
Journal:  J Alcohol Drug Educ       Date:  2015-08

2.  Risk of injury from drinking: the difference which study design makes.

Authors:  Cheryl J Cherpitel; Yu Ye; Jason Bond; Timothy Stockwell; Kate Vallance; Gina Martin; Jeffrey R Brubacher; Andrew MacPherson
Journal:  Alcohol Clin Exp Res       Date:  2013-08-01       Impact factor: 3.455

3.  Alcohol use at time of injury and survival following traumatic brain injury: results from the National Trauma Data Bank.

Authors:  Chiung M Chen; Hsiao-Ye Yi; Young-Hee Yoon; Chuanhui Dong
Journal:  J Stud Alcohol Drugs       Date:  2012-07       Impact factor: 2.582

4.  Are injury admissions on weekends and weeknights different from weekday admissions?

Authors:  Abebe Tiruneh; Maya Siman-Tov; Irina Radomislensky; Kobi Peleg
Journal:  Eur J Trauma Emerg Surg       Date:  2018-10-22       Impact factor: 3.693

5.  Psychiatric Disorders Are Associated with an Increased Risk of Injuries: Data from the Iranian Mental Health Survey (IranMHS).

Authors:  Behrang Shadloo; Abbas Motevalian; Vafa Rahimi-Movaghar; Masoumeh Amin-Esmaeili; Vandad Sharifi; Ahmad Hajebi; Reza Radgoodarzi; Mitra Hefazi; Afarin Rahimi-Movaghar
Journal:  Iran J Public Health       Date:  2016-05       Impact factor: 1.429

  5 in total

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