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.
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.
Authors: Jürgen Rehm; Dolly Baliunas; Guilherme L G Borges; Kathryn Graham; Hyacinth Irving; Tara Kehoe; Charles D Parry; Jayadeep Patra; Svetlana Popova; Vladimir Poznyak; Michael Roerecke; Robin Room; Andriy V Samokhvalov; Benjamin Taylor Journal: Addiction Date: 2010-03-15 Impact factor: 6.526
Authors: Guilherme Borges; Cheryl Cherpitel; Ricardo Orozco; Jason Bond; Yu Ye; Scott Macdonald; Jürgen Rehm; Vladimir Poznyak Journal: Bull World Health Organ Date: 2006-06-21 Impact factor: 9.408
Authors: Ellen E Bouchery; Henrick J Harwood; Jeffrey J Sacks; Carol J Simon; Robert D Brewer Journal: Am J Prev Med Date: 2011-11 Impact factor: 5.043