OBJECTIVE: This analysis aimed to estimate the burden of disease and injury caused and prevented by alcohol in 2004 for Canadians aged 0-69 years and compare the effects of different magnitudes of adjustment of survey data on these estimates. METHODS: Alcohol indicators were obtained from the Canadian Alcohol and Drug Use Monitoring Survey 2008 and were corrected to 80% coverage using adult per capita recorded and unrecorded consumption. Risk relations were taken from meta-analyses. Estimates of burden of disease and injury were obtained from the World Health Organization. RESULTS: In 2004, 4,721 (95% CI 1,432-8,150) deaths and 274,663 (95% CI 201,397-352,432) disability-adjusted life years lost (DALYs) of Canadians 0-69 years of age were attributable to alcohol. This represented 7.1% (95% CI 2.1-12.2%) of all deaths and 9.3% (95% CI 6.8-11.9%) of DALYs for this age range. The sensitivity analysis showed that the outcome estimates varied substantially based on the adjusted coverage rate. CONCLUSION: More attention to burden of disease and injury statistics is required to accurately characterize alcohol-related harms. This burden is preventable and could be reduced by implementation of more effective policies.
OBJECTIVE: This analysis aimed to estimate the burden of disease and injury caused and prevented by alcohol in 2004 for Canadians aged 0-69 years and compare the effects of different magnitudes of adjustment of survey data on these estimates. METHODS:Alcohol indicators were obtained from the Canadian Alcohol and Drug Use Monitoring Survey 2008 and were corrected to 80% coverage using adult per capita recorded and unrecorded consumption. Risk relations were taken from meta-analyses. Estimates of burden of disease and injury were obtained from the World Health Organization. RESULTS: In 2004, 4,721 (95% CI 1,432-8,150) deaths and 274,663 (95% CI 201,397-352,432) disability-adjusted life years lost (DALYs) of Canadians 0-69 years of age were attributable to alcohol. This represented 7.1% (95% CI 2.1-12.2%) of all deaths and 9.3% (95% CI 6.8-11.9%) of DALYs for this age range. The sensitivity analysis showed that the outcome estimates varied substantially based on the adjusted coverage rate. CONCLUSION: More attention to burden of disease and injury statistics is required to accurately characterize alcohol-related harms. This burden is preventable and could be reduced by implementation of more effective policies.
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
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Authors: David E Nelson; Dwayne W Jarman; Jürgen Rehm; Thomas K Greenfield; Grégoire Rey; William C Kerr; Paige Miller; Kevin D Shield; Yu Ye; Timothy S Naimi Journal: Am J Public Health Date: 2013-02-14 Impact factor: 9.308
Authors: Gerrit Gmel; Kevin D Shield; Hannah Frick; Tara Kehoe; Gerhard Gmel; Jürgen Rehm Journal: BMC Med Res Methodol Date: 2011-04-17 Impact factor: 4.615
Authors: Kevin D Shield; Gerrit Gmel; Tara Kehoe-Chan; Deborah A Dawson; Bridget F Grant; Jürgen Rehm Journal: PLoS One Date: 2013-01-02 Impact factor: 3.240
Authors: Michael Roerecke; Kevin D Shield; Susumu Higuchi; Atsushi Yoshimura; Elisabeth Larsen; Maximilien X Rehm; Jürgen Rehm Journal: Bull World Health Organ Date: 2015-02-24 Impact factor: 9.408