Estimating alcohol-attributable fractions for injuries based on data from emergency department and observational studies: a comparison of two methods.

Alcohol-attributable fraction emergency department injury mortality and morbidity population alcohol consumption relative risk

Journal

Addiction (Abingdon, England)
ISSN: 1360-0443
Titre abrégé: Addiction
Pays: England
ID NLM: 9304118

Informations de publication

Date de publication:
03 2019
Historique:
received: 23 05 2018
revised: 31 07 2018
accepted: 16 10 2018
pubmed: 23 10 2018
medline: 3 4 2020
entrez: 23 10 2018
Statut: ppublish

Résumé

To compare the injury alcohol-attributable fractions (AAFs) estimated using emergency department (ED) data to AAFs estimated by combining population alcohol consumption data with corresponding relative risks (RRs). Comparative risk assessment. ED studies in 27 countries (n = 24 971). AAFs were estimated by means of an acute method using data on injury cases from 36 ED studies combined with odds ratios obtained from ED case-cross-over studies. Corresponding AAFs for injuries were estimated by combining population-level data on alcohol consumption obtained from the Global Information System on Alcohol and Health, with corresponding RRs obtained from a previous meta-analysis. ED-based injury AAF estimates ranged from 5% (Canada 2002 and the Czech Republic) to 40% (South Africa), with a mean AAF among all studies of 15.4% (18.9% for males and 8.4% for females). Population-based injury AAF estimates ranged from 21% (India) to 51% (Spain and the Czech Republic), with a mean AAF among all country-years of 36.8% (42.5% for males and 22.5% for females). The Pearson correlation coefficient for the two types of injury AAF estimates was 0.09 for the total, 0.06 for males and 0.32 for females. Two methods of estimating the injury alcohol-attributable fractions-emergency department data versus population method-produce widely differing results. Across 36 country-years, the mean AAF using the population method was 36.8%, more than twice as large as emergency department data-based acute estimates, which average 15.4%.

Identifiants

pubmed: 30347115
doi: 10.1111/add.14477
pmc: PMC6384006
mid: NIHMS994538
doi:

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

462-470

Subventions

Organisme : NIAAA NIH HHS
ID : R01 AA013750
Pays : United States

Informations de copyright

© 2018 Society for the Study of Addiction.

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Auteurs

Yu Ye (Y)

Public Health Institute, Alcohol Research Group, Emeryville, CA, USA.

Kevin Shield (K)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

Cheryl J Cherpitel (CJ)

Public Health Institute, Alcohol Research Group, Emeryville, CA, USA.

Jakob Manthey (J)

Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.

Rachael Korcha (R)

Public Health Institute, Alcohol Research Group, Emeryville, CA, USA.

Jürgen Rehm (J)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
Campbell Family Mental Health Research Institute, CAMH, Toronto, Canada.
Institute of Medical Science, University of Toronto, Toronto, Canada.
Department of Psychiatry, University of Toronto, Toronto, Canada.

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