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    Risk of Injury from Drinking: The Difference Which Study Design Makes

    Access Status
    Fulltext not available
    Authors
    Cherpitel, C.
    Ye, Y.
    Bond, J.
    Stockwell, Tim
    Vallance, K.
    Martin, G.
    Brubacher, J.
    MacPherson, A.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Cherpitel, C. and Ye, Y. and Bond, J. and Stockwell, T. and Vallance, K. and Martin, G. and Brubacher, J. et al. 2014. Risk of Injury from Drinking: The Difference Which Study Design Makes. Alcoholism: Clinical and Experimental Research. 38 (1): pp. 235-240.
    Source Title
    Alcoholism: Clinical and Experimental Research
    DOI
    10.1111/acer.12217
    ISSN
    0145-6008
    School
    National Drug Research Institute (NDRI)
    URI
    http://hdl.handle.net/20.500.11937/24342
    Collection
    • Curtin Research Publications
    Abstract

    Background: The magnitude of risk of injury from drinking, based on emergency department (ED) studies, has been found to vary considerably across studies, and the impact of study design on this variation is unknown. Methods: Patients were interviewed regarding drinking within 6 hours prior to the injury or illness event, drinking during the same time the previous week, and usual drinking during the last 30 days. Risk estimates were derived from case-control analysis and from both pair-matched and usual frequency case-crossover analysis. Results: The odds ratio (OR) based on case-control (2.7; 1.9 to 3.8) was larger than that based on pair-matched case-crossover analysis (1.6; 1.0 to 2.6). The control-crossover estimate suggested the case-crossover estimate was an underestimate of risk, and when this adjustment was applied to the case-crossover estimate, risk of injury increased (OR = 3.2; 1.7 to 6.0). Adjusted case-crossover estimates compared with unadjusted showed the largest proportional increase at 7 or more drinks prior to injury (OR = 7.1; 2.2 to 22.9). The case-crossover estimate based on usual frequency of drinking was substantially larger (OR = 10.7; 8.0 to 14.3) than that based on case-control or pair-matched case-crossover analysis, but less than either when adjusted based on control-crossover usual frequency analysis (OR = 2.2; 1.5 to 3.3). Conclusions: The data suggest that while risk of injury based on case-control analysis may be biased, control data are important in providing adjustments derived from control-crossover analysis to case-crossover estimates, and are most important at higher levels of consumption prior to the event.

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