期刊论文详细信息
BMC Medical Research Methodology
The effects of capping the alcohol consumption distribution and relative risk functions on the estimated number of deaths attributable to alcohol consumption in the European Union in 2004
Jürgen Rehm1  Tara AK Kehoe-Chan3  Kevin D Shield4  Gerrit Gmel2 
[1] Institute for Clinical Psychology and Psychotherapy, TU Dresden, Germany;Faculty of Engineering, University of New South Wales, Sydney, Australia;Department of Statistics, University of Toronto, Toronto, Canada;Institute of Medical Science, University of Toronto, Toronto, Canada
关键词: Sensitivity analysis;    Mortality;    Capping;    Alcohol-Attributable Fraction;    Gamma distribution;    Modelling;    Alcohol consumption;   
Others  :  1126112
DOI  :  10.1186/1471-2288-13-24
 received in 2012-10-02, accepted in 2013-02-13,  发布年份 2013
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【 摘 要 】

Background

When calculating the number of deaths attributable to alcohol consumption (i.e., the number of deaths that would not have occurred if everyone was a lifetime abstainer), alcohol consumption is most often modelled using a capped exposure distribution so that the maximum average daily consumption is 150 grams of pure alcohol. However, the effect of capping the exposure distribution on the estimated number of alcohol-attributable deaths has yet to be systematically evaluated. Thus, the aim of this article is to estimate the number of alcohol-attributable deaths by means of a capped and an uncapped gamma distribution and capped and uncapped relative risk functions using data from the European Union (EU) for 2004.

Methods

Sex- and disease-specific alcohol relative risks were obtained from the ongoing Global Burden of Disease, Comparative Risk Assessment Study. Adult per capita consumption estimates were obtained from the Global Information System on Alcohol and Health. Data on the prevalence of current drinkers, former drinkers, and lifetime abstainers by sex and age were obtained from various population surveys. Alcohol-attributable deaths were calculated using Alcohol-Attributable Fractions that were calculated using capped (at 150 grams of alcohol) and uncapped alcohol consumption distributions and capped and uncapped relative risk functions.

Results

Alcohol-attributable mortality in the EU may have been underestimated by 25.5% for men and 8.0% for women when using the capped alcohol consumption distribution and relative risk functions, amounting to the potential underestimation of over 23,000 and 1,100 deaths in 2004 in men and women respectively. Capping of the relative risk functions leads to an estimated 9,994 and 468 fewer deaths for men and for women respectively when using an uncapped gamma distribution to model alcohol consumption, accounting for slightly less than half of the potential underestimation.

Conclusions

Although the distribution of drinkers in the population and the exact shape of the relative risk functions at large average daily alcohol consumption levels are not known, the findings of our study stress the importance of conducting further research to focus on exposure and risk in very heavy drinkers.

【 授权许可】

   
2013 Gmel et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J: Global burden of disease and injury and economic cost attributable to alcohol use and alcohol use disorders. Lancet 2009, 373(9682):2223-2233.
  • [2]World Health Organization: Global Health Risks. Mortality and burden of disease attributable to selected major risks. Geneva, Switzerland: World Health Organization; 2009.
  • [3]Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, et al.: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380:2224-2260.
  • [4]Rehm J, Room R, Monteiro M, Gmel G, Graham K, Rehn N, Sempos CT, Frick U, Jernigan D: Alcohol Use. In Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Volume 1. Edited by Ezzati M, Lopez AD, Rodgers A, Murray CJL. Geneva, Switzerland: World Health Organization; 2004:959-1109.
  • [5]Rehm J, Klotsche J, Patra J: Comparative quantification of alcohol exposure as risk factor for global burden of disease. Int J Method Psych 2007, 16(2):66-76.
  • [6]Walter SD: The estimation and interpretation of attributable risk in health research. Biometrics 1976, 32:829-849.
  • [7]Walter SD: Prevention of multifactorial disease. Am J Epidemiol 1980, 112:409-416.
  • [8]Benichou J: A review of adjusted estimators of attributable risk. Stat Methods Med Res 2001, 10:195-216.
  • [9]Kehoe T, Gmel G Jr, Shield K, Gmel G Sr, Rehm J: Determining the best population-level alcohol consumption model and its impact on estimates of alcohol-attributable harms. Pop Health Metrics 2012, 10(1):6. BioMed Central Full Text
  • [10]Rehm J, Shield KD, Gmel G, Rehm MX, Frick U: Modeling the impact of alcohol dependence on mortality burden and the effect of available treatment interventions in the European Union. Eur Neuropsychopharmacol 2013, 23(2):89-97.
  • [11]Rehm J, Rehm MX, Shield KD, Gmel G, Gual A: Alcohol consumption, alcohol dependence and related harms in Spain, and the effect of treatment-based interventions on alcohol dependence. AdiccionesIn press
  • [12]Shield K, Gmel G, Kehoe T, Dawson DA, Grant BF, Rehm J: Mortality and potential years of life lost attributable to alcohol consumption by race and sex in the United States in 2005. PLoS One 2013, 8(1):e51923.
  • [13]Shield K, Rehm J: Difficulties with telephone-based surveys on alcohol in high-income countries: the Canadian example. Int J Method Psych 2012, 21(1):17-28.
  • [14]Rehm J, Kehoe T, Gmel G, Stinson F, Grant B, Gmel G: Statistical modeling of volume of alcohol exposure for epidemiological studies of population health: the example of the US. Pop Health Metrics 2010, 8:3. BioMed Central Full Text
  • [15]Rösner S, Hackl-Herrwerth A, Leucht S, Vecchi S, Srisurapanont M, Soyka M: Opioid antagonists for alcohol dependence. Cochrane Database Syst Rev 2010, 12:CD001867.
  • [16]Gual A, Bravo F, Lligoña A, Colom J: Treatment for alcohol dependence in Catalonia: health outcomes and stability of drinking patterns over 20 years in 850 patients. Alcohol Alcohol 2009, 44(4):409-415.
  • [17]Gual A, Lligoña A, Costa S, Segura L, Colom J: Long term impact of treatment in alcoholics. Results from a 10-year longitudinal follow-up study of 850 patients. Med Clin (Barc) 2004, 123(10):364-369.
  • [18]Pal N, Jin C, Lim WK: Handbook of Exponential and Related Distributions for Engineers and Scientists. Boca Raton, FL: Chapman & Hall/CRC; 2006.
  • [19]Baliunas D, Taylor B, Irving H, Roerecke M, Patra J, Mohapatra S, Rehm J: Alcohol as a risk factor for type 2 diabetes - A systematic review and meta-analysis. Diabetes Care 2009, 32(11):2123-2132.
  • [20]Rehm J, Gmel G, Sempos CT, Trevisan M: Alcohol-attributable mortality and morbidity. Alcohol Res Health 2003, 27(1):39-51.
  • [21]World Health Organization: Global status report on alcohol and health. Geneva, Switzerland: World Health Organization; 2011.
  • [22]Shield K, Rylett M, Gmel G, Gmel G, Kehoe-Chan T, Rehm J: Global alcohol exposure estimates by country, territory and region for 2005 – a contribution to the Comparative Risk Assessment for the 2010 Global Burden of Disease Study. Addiction 2013.
  • [23]Rehm J, Baliunas D, Borges GLG, Graham K, Irving HM, Kehoe T, Parry CD, Patra J, Popova L, Poznyak V, Roerecke M, Room R, Samokhvalov AV, Taylor B: The relation between different dimensions of alcohol consumption and burden of disease - An overview. Addiction 2010, 105(5):817-843.
  • [24]World Health Organization: The global burden of disease: 2004 update. Geneva, Switzerland: World Health Organization; 2008.
  • [25]Rehm J, Monteiro M, Room R, Gmel G, Jernigan D, Frick U, Graham K: Steps towards constructing a global comparative risk analysis for alcohol consumption: Determining indicators and empirical weights for patterns of drinking, deciding about theoretical minimum, and dealing with different consequences. Eur Addict Res 2001, 7(3):138-147.
  • [26]Shaper A, Wannamethee G, Walker M: Alcohol and mortality in British men: explaining the U-shaped curve. Lancet 1988, 2(8623):1267-1273.
  • [27]Marmot MG, Brunner E: Alcohol and cardiovascular disease: the status of the U- shaped curve. Br Med J 1991, 303:565-568.
  • [28]Murray CJL, Lopez A: On the comparable quantification of health risks: lessons from the global burden of disease study. Epidemiology 1999, 10:594-605.
  • [29]Ezzati M, Lopez A, Rodgers A, Murray CJL: Comparative quantification of health risks. Global and regional burden of disease attributable to selected major risk factors. Geneva, Switzerland: World Health Organization; 2004.
  • [30]Hayes RD, Chang CK, Fernandes A, Broadbent M, Lee W, Hotopf M, Stewart R: Associations between substance use disorder sub-groups, life expectancy and all-cause mortality in a large British specialist mental healthcare service. Drug Alcohol Depend 2011, 118:56-61.
  • [31]Rothman KJ, Greenland S, Lash TL: Modern Epidemiology. 3rd edition. PA, USA: Lippincott Williams & Wilkins; 2008.
  • [32]Rehm J: Alcohol consumption and mortality. What do we know and where should we go? Addiction 2000, 95(7):989-995.
  • [33]Harris EC, Barraclough B: Excess mortality of mental disorder. Br J Psychiatry 1998, 173:11-53.
  • [34]Rehm J, Shield KD, Rehm MX, Gmel G Jr, Frick U: Alcohol consumption, alcohol dependence, and attributable burden of disease in Europe: potential gains from effective interventions for alcohol dependence. Toronto, Canada: Centre for Addiction and Mental Health; 2012.
  • [35]Rehm J, Taylor B, Mohapatra S, Irving H, Baliunas D, Patra J, Roerecke M: Alcohol as a risk factor for liver cirrhosis - a systematic review and meta-analysis. Drug Alcohol Rev 2010, 29(4):437-445.
  • [36]Lelbach W: Quantitative aspects of drinking in alcoholic liver cirrhosis. In Alcoholic liver pathology. Edited by Khanna H, Isreal Y, Kalant H. Toronto, ON: Toronto Addiction Research Foundation of Ontario; 1975:1-18.
  • [37]Kremer G: Alkoholprobleme im Allgemeinkrankenhaus. Früherkennung und Kurzintervention bei Patientinnen und Patienten mit Alkoholproblemen in der somatischen Medizin. Ph.D. Thesis. Bielefeld (Germany): Bielefeld University; 2001.
  • [38]Rehm J, Irving H, Ye Y, Kerr WC, Bond J, Greenfield TK: Are lifetime abstainers the best control group in alcohol epidemiology? On the stability and validity of reported lifetime abstention. Am J Epidemiol 2008, 168(8):866-871.
  • [39]Shield K, Rehm M, Patra J, Sornpaisarn B, Rehm J: Global and country specific adult per capita consumption of alcohol, 2008. Sucht 2011, 57(2):99-117.
  • [40]Lozano R, Murray CJL, Lopez AD, Satoh T: Miscoding and misclassification of ischaemic heart disease mortality. Global program on evidence for health policy discussion paper 12. Geneva, Switzerland: World Health Organization; 2001.
  • [41]Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Barker-Collo S, Bartels DH, Bell ML, Benjamin EJ, Bennett D, Bhalla K, Bikbov B, Abdulhak AB, Birbeck G, Blyth F, Bolliger I, Boufous S, Bucello C, Burch M, et al.: Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380(9859):2095-2128.
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