ArticleBMC medical research methodology2011
Estimating uncertainty of alcohol-attributable fractions for infectious and chronic diseases.
Article in BMC medical research methodology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of the association between alcohol-related deaths and area-level socioeconomic deprivation and other geographic characteristics in high-income countries.BMC public health · 2026Pooled it
- Alcohol consumption as a risk factor for tuberculosis: meta-analyses and burden of disease.The European respiratory journal · 2017Pooled it
- Alcohol Use and Attributable Burden of Disease in the World Health Organization Western Pacific Region.Drug and alcohol review · 2026Article
- Sex and age differences in alcohol-attributable mortality in Chile between 2008 and 2022.Public health in practice (Oxford, England) · 2026Article
- A systematic review of operational research modelling for alcohol consumption and its consequences.Health systems (Basingstoke, England) · 2026Review
- A return on investment analysis for the 2017 increase in alcohol excise taxation in Lithuania.Addiction (Abingdon, England) · 2025Article
- National, regional, and global statistics on alcohol consumption and associated burden of disease 2000-20: a modelling study and comparative risk assessment.The Lancet. Public health · 2025Article
- Trends of alcohol-attributable deaths in Lithuania 2001-2021: epidemiology and policy conclusions.BMC public health · 2024Article
- Neurobiology and the Treatment of Alcohol Use Disorder: A Review of the Evidence Base.Substance abuse and rehabilitation · 2023Review
- Using Direct and Indirect Estimates for Alcohol-Attributable Mortality: A Modelling Study Using the Example of Lithuania.European addiction research · 2023Article
- [Potential impact of increased alcohol taxes on the alcohol-attributable burden of disease in Germany: a modelling study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022Article
- Modelling the impact of increased alcohol taxation on alcohol-attributable cancers in the WHO European Region.The Lancet regional health. Europe · 2021Article
- The Health Impact of Alcohol on American Cities: Modeling the Local Burden of Current Alcohol Use in One Jurisdiction.Journal of urban health : bulletin of the New York Academy of Medicine · 2020Article
- Global Burden of Alcohol Use Disorders and Alcohol Liver Disease.Biomedicines · 2019Article
- The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study.BMC medicine · 2018Article
- HIV/AIDS mortality attributable to alcohol use in South Africa: a comparative risk assessment by socioeconomic status.BMJ open · 2018Article
- Modelling the impact of alcohol consumption on cardiovascular disease mortality for comparative risk assessments: an overview.BMC public health · 2016Article
- Russia-specific relative risks and their effects on the estimated alcohol-attributable burden of disease.BMC public health · 2015Article
- Burden of disease associated with alcohol use disorders in the United States.Alcoholism, clinical and experimental research · 2014Article
- Alcohol consumption, alcohol dependence, and related mortality in Italy in 2004: effects of treatment-based interventions on alcohol dependence.Substance abuse treatment, prevention, and policy · 2013Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlcohol is a major risk factor for burden of disease and injuries globally. This paper presents a systematic method to compute the 95% confidence intervals of alcohol-attributable fractions (AAFs) with exposure and risk relations stemming from different sources.
methodsThe computation was based on previous work done on modelling drinking prevalence using the gamma distribution and the inherent properties of this distribution. The Monte Carlo approach was applied to derive the variance for each AAF by generating random sets of all the parameters. A large number of random samples were thus created for each AAF to estimate variances. The derivation of the distributions of the different parameters is presented as well as sensitivity analyses which give an estimation of the number of samples required to determine the variance with predetermined precision, and to determine which parameter had the most impact on the variance of the AAFs.
resultsThe analysis of the five Asian regions showed that 150 000 samples gave a sufficiently accurate estimation of the 95% confidence intervals for each disease. The relative risk functions accounted for most of the variance in the majority of cases.
conclusionsWithin reasonable computation time, the method yielded very accurate values for variances of AAFs.
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