The relation between different dimensions of alcohol consumption and burden of disease: an overview - PubMed (original) (raw)

. 2010 May;105(5):817-43.

doi: 10.1111/j.1360-0443.2010.02899.x. Epub 2010 Mar 15.

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

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The relation between different dimensions of alcohol consumption and burden of disease: an overview

Jürgen Rehm et al. Addiction. 2010 May.

Abstract

Aims: As part of a larger study to estimate the global burden of disease and injury attributable to alcohol: to evaluate the evidence for a causal impact of average volume of alcohol consumption and pattern of drinking on diseases and injuries; to quantify relationships identified as causal based on published meta-analyses; to separate the impact on mortality versus morbidity where possible; and to assess the impact of the quality of alcohol on burden of disease.

Methods: Systematic literature reviews were used to identify alcohol-related diseases, birth complications and injuries using standard epidemiological criteria to determine causality. The extent of the risk relations was taken from meta-analyses.

Results: Evidence of a causal impact of average volume of alcohol consumption was found for the following major diseases: tuberculosis, mouth, nasopharynx, other pharynx and oropharynx cancer, oesophageal cancer, colon and rectum cancer, liver cancer, female breast cancer, diabetes mellitus, alcohol use disorders, unipolar depressive disorders, epilepsy, hypertensive heart disease, ischaemic heart disease (IHD), ischaemic and haemorrhagic stroke, conduction disorders and other dysrhythmias, lower respiratory infections (pneumonia), cirrhosis of the liver, preterm birth complications and fetal alcohol syndrome. Dose-response relationships could be quantified for all disease categories except for depressive disorders, with the relative risk increasing with increased level of alcohol consumption for most diseases. Both average volume and drinking pattern were linked causally to IHD, fetal alcohol syndrome and unintentional and intentional injuries. For IHD, ischaemic stroke and diabetes mellitus beneficial effects were observed for patterns of light to moderate drinking without heavy drinking occasions (as defined by 60+ g pure alcohol per day). For several disease and injury categories, the effects were stronger on mortality compared to morbidity. There was insufficient evidence to establish whether quality of alcohol had a major impact on disease burden.

Conclusions: Overall, these findings indicate that alcohol impacts many disease outcomes causally, both chronic and acute, and injuries. In addition, a pattern of heavy episodic drinking increases risk for some disease and all injury outcomes. Future studies need to address a number of methodological issues, especially the differential role of average volume versus drinking pattern, in order to obtain more accurate risk estimates and to understand more clearly the nature of alcohol-disease relationships.

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Conflict of interest statement

Conflict of interest: none

Figures

Figure 1

Figure 1

Causal model of alcohol consumption, intermediate mechanisms, and long-term consequences

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References

    1. Rehm J, Room R, Graham K, Monteiro M, Gmel G, Sempos C. The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease - an overview. Addiction. 2003;98:1209–28. - PubMed
    1. Murray CJ, Lopez AD, Black R, Mathers CD, Shibuya K, Ezzati M, et al. Global burden of disease 2005: call for collaborators. Lancet. 2007;370:109–10. - PubMed
    1. Bruun K, Edwards G, Lumio M, Majeka K, Pan L, Popham RE, et al. Alcohol control policies in public health perspective. Helsinki, Finland: Finnish Foundation for Alcohol Studies; 1975.
    1. English D, Holman C, Milne E, Winter M, Hulse G, Codde G, et al. The quantification of drug caused morbidity and mortality in Australia 1995. Canberra, Australia: Commonwealth Department of Human Services and Health; 1995.
    1. WHO. International classification of diseases and related health problems, 10th revision (version for 2007) Geneva, Switzerland: WHO; 2007.

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