ArticleAddiction (Abingdon, England)2019
Estimating alcohol-attributable fractions for injuries based on data from emergency department and observational studies: a comparison of two methods.
Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Global burden and trends of high alcohol use-related injuries from 1990 to 2030: a comprehensive assessment of self-harm and interpersonal violence, transport injuries, and unintentional injuries using global burden of disease 2021.Frontiers in public health · 2025Article
- Craniofacial fractures sustained under the influence of alcohol: what are the differences between the sexes?Acta odontologica Scandinavica · 2024Article
- Quantifying alcohol's harm to others: a research and policy proposal.Bulletin of the World Health Organization · 2024Article
- Alcohol and Substance Use Among the Working Age Population: A Nationwide Study of Fall-Related Emergency Department Visits.Journal of studies on alcohol and drugs · 2024Article
- Identifying excessive chronic alcohol use with phosphatidylethanol in patients with suspected severe injury-results from the IDART study.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Article
- Alcohol consumption and all-cause and cause-specific mortality among US adults: prospective cohort study.BMC medicine · 2023Article
- Social Determinants of Seeking and Reaching Injury Care in South Africa: A Community-Based Qualitative Study.Annals of global health · 2023Article
- Traumatic brain injury during COVID-19 pandemic-time-series analysis of a natural experiment.BMJ open · 2022Article
- Trauma trends during COVID-19 alcohol prohibition at a South African regional hospital.Drug and alcohol review · 2022Article
- Temporal changes in trauma according to alcohol sale restrictions during the South African national COVID-19 lockdown.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2021Article
- Quantifying risk of injury from usual alcohol consumption: An instrumental variable analysis.Alcoholism, clinical and experimental research · 2021Article
- Alcohol and the Risk of Injury.Nutrients · 2021Review
- The burden of alcohol on health care during COVID-19.Drug and alcohol review · 2021Article
- The interactive effect of location, alcohol consumption and non-traffic injury.Addiction (Abingdon, England) · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
aimTo 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).
designComparative risk assessment. SETTING AND
participantsED studies in 27 countries (n = 24 971). MEASUREMENTS: 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.
findingsED-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.
conclusionsTwo 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%.
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