Prediction of Alcohol-Related Casualties Among Emergency Room Admissions

Author:
  • CCCheryl J. Stephens Cherpitel
    Cheryl J. Stephens Cherpitel
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Abstract
Logistic regression models are used to determine the predictive value on injury status of drinking-in-the-event variables, quantity and frequency of alcohol consumption, alcohol-related problems, and demographic characteristics among 1,896 emergency room patients interviewed and breathalyzed at San Francisco General Hospital. Being young, White compared to Black, a positive admission breathalyzer reading, drinking prior to the event, and binge drinking were predictive of admission to the emergency room for an injury compared to a non-injury problem. A positive breathalyzer reading, more frequent usual drinking, blackouts, and a previous accident while drinking were predictive of drinking prior to the presenting injury event.

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