Skip to main content
Top
Published in: BMC Public Health 1/2016

Open Access 01-12-2016 | Research article

Unravelling the alcohol harm paradox: a population-based study of social gradients across very heavy drinking thresholds

Authors: Dan Lewer, Petra Meier, Emma Beard, Sadie Boniface, Eileen Kaner

Published in: BMC Public Health | Issue 1/2016

Login to get access

Abstract

Background

There is consistent evidence that individuals in higher socioeconomic status groups are more likely to report exceeding recommended drinking limits, but those in lower socioeconomic status groups experience more alcohol-related harm. This has been called the ‘alcohol harm paradox’. Such studies typically use standard cut-offs to define heavy drinking, which are exceeded by a large proportion of adults. Our study pools data from six years (2008–2013) of the population-based Health Survey for England to test whether the socioeconomic distribution of more extreme levels of drinking could help explain the paradox.

Methods

The study included 51,498 adults from a representative sample of the adult population of England for a cross-sectional analysis of associations between socioeconomic status and self-reported drinking. Heavy weekly drinking was measured at four thresholds, ranging from 112 g+/168 g + (alcohol for women/men, or 14/21 UK standard units) to 680 g+/880 g + (or 85/110 UK standard units) per week. Heavy episodic drinking was also measured at four thresholds, from 48 g+/64 g + (or 6/8 UK standard units) to 192 g+/256 g + (or 24/32 UK standard units) in one day. Socioeconomic status indicators were equivalised household income, education, occupation and neighbourhood deprivation.

Results

Lower socioeconomic status was associated with lower likelihoods of exceeding recommended limits for weekly and episodic drinking, and higher likelihoods of exceeding more extreme thresholds. For example, participants in routine or manual occupations had 0.65 (95 % CI 0.57–0.74) times the odds of exceeding the recommended weekly limit compared to those in ‘higher managerial’ occupations, and 2.15 (95 % CI 1.06–4.36) times the odds of exceeding the highest threshold. Similarly, participants in the lowest income quintile had 0.60 (95 % CI 0.52–0.69) times the odds of exceeding the recommended weekly limit when compared to the highest quintile, and 2.30 (95 % CI 1.28–4.13) times the odds of exceeding the highest threshold.

Conclusions

Low socioeconomic status groups are more likely to drink at extreme levels, which may partially explain the alcohol harm paradox. Policies that address alcohol-related health inequalities need to consider extreme drinking levels in some sub-groups that may be associated with multiple markers of deprivation. This will require a more disaggregated understanding of drinking practices.
Literature
1.
go back to reference World Health Organization. Global status report on alcohol and health 2014. Geneva: World Health Organization; 2014. World Health Organization. Global status report on alcohol and health 2014. Geneva: World Health Organization; 2014.
2.
go back to reference Rehm J, Mathers C, Popova S, et al. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009;373:2223–33.CrossRefPubMed Rehm J, Mathers C, Popova S, et al. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009;373:2223–33.CrossRefPubMed
3.
go back to reference Jones L, Bates G, McCoy E, et al. Relationship between alcohol-attributable disease and socioeconomic status, and the role of alcohol consumption in this relationship: a systematic review and meta-analysis. BMC Public Health. 2015;15:400.CrossRefPubMedPubMedCentral Jones L, Bates G, McCoy E, et al. Relationship between alcohol-attributable disease and socioeconomic status, and the role of alcohol consumption in this relationship: a systematic review and meta-analysis. BMC Public Health. 2015;15:400.CrossRefPubMedPubMedCentral
4.
go back to reference Erskine S, Maheswaran R, Pearson T, et al. Socioeconomic deprivation, urban-rural location and alcohol-related mortality in England and Wales. BMC Public Health. 2010;10:99.CrossRefPubMedPubMedCentral Erskine S, Maheswaran R, Pearson T, et al. Socioeconomic deprivation, urban-rural location and alcohol-related mortality in England and Wales. BMC Public Health. 2010;10:99.CrossRefPubMedPubMedCentral
5.
go back to reference Makela P. Alcohol-related mortality as a function of socio-economic status. Addiction. 1999;94:867–86.CrossRefPubMed Makela P. Alcohol-related mortality as a function of socio-economic status. Addiction. 1999;94:867–86.CrossRefPubMed
6.
go back to reference Harrison L, Gardiner E. Do the rich really die young? Alcohol-related mortality and social class in Great Britain, 1988–94. Addiction. 1999;94:1871–80.CrossRefPubMed Harrison L, Gardiner E. Do the rich really die young? Alcohol-related mortality and social class in Great Britain, 1988–94. Addiction. 1999;94:1871–80.CrossRefPubMed
10.
go back to reference Jefferis BJMH, Manor O, Power C. Social gradients in binge drinking and abstaining: trends in a cohort of British adults. J Epidemiol Community Health. 2007;61:150–3.CrossRefPubMedPubMedCentral Jefferis BJMH, Manor O, Power C. Social gradients in binge drinking and abstaining: trends in a cohort of British adults. J Epidemiol Community Health. 2007;61:150–3.CrossRefPubMedPubMedCentral
13.
go back to reference Giskes K, Turrell G, Bentley R, et al. Individual and household-level socioeconomic position is associated with harmful alcohol consumption behaviours among adults. Aust N Z J Public Health. 2011;35:270–7. Giskes K, Turrell G, Bentley R, et al. Individual and household-level socioeconomic position is associated with harmful alcohol consumption behaviours among adults. Aust N Z J Public Health. 2011;35:270–7.
14.
go back to reference Livingston M. Socioeconomic differences in alcohol-related risk-taking behaviours: SES and alcohol-related risk taking. Drug Alcohol Rev. 2014;33:588–95.CrossRefPubMed Livingston M. Socioeconomic differences in alcohol-related risk-taking behaviours: SES and alcohol-related risk taking. Drug Alcohol Rev. 2014;33:588–95.CrossRefPubMed
15.
go back to reference Van Oers JAM, Bongers IMB, Van De Goor LAM, et al. Alcohol consumption, alcohol-related problems, problem drinking and socio-economic status. Alcohol Alcohol. 1999;34:78–88.CrossRefPubMed Van Oers JAM, Bongers IMB, Van De Goor LAM, et al. Alcohol consumption, alcohol-related problems, problem drinking and socio-economic status. Alcohol Alcohol. 1999;34:78–88.CrossRefPubMed
16.
go back to reference Paljarvi T, Suominen S, Car J, et al. Socioeconomic disadvantage and indicators of risky alcohol-drinking patterns. Alcohol Alcohol. 2013;48:207–14.CrossRefPubMed Paljarvi T, Suominen S, Car J, et al. Socioeconomic disadvantage and indicators of risky alcohol-drinking patterns. Alcohol Alcohol. 2013;48:207–14.CrossRefPubMed
17.
go back to reference Bellis MA, Hughes K, Nicholls J, et al. The alcohol harm paradox: using a national survey to explore how alcohol may disproportionately impact health in deprived individuals. BMC Public Health. 2016;16:111.CrossRefPubMedPubMedCentral Bellis MA, Hughes K, Nicholls J, et al. The alcohol harm paradox: using a national survey to explore how alcohol may disproportionately impact health in deprived individuals. BMC Public Health. 2016;16:111.CrossRefPubMedPubMedCentral
18.
go back to reference Royal College of Psychiatrists. Alcohol: our favourite drug. Routledge 1986. Royal College of Psychiatrists. Alcohol: our favourite drug. Routledge 1986.
22.
go back to reference Prime Minister’s Strategy Unit. Alcohol harm reduction strategy for England. London: Prime Minister’s Strategy Unit; 2004. Prime Minister’s Strategy Unit. Alcohol harm reduction strategy for England. London: Prime Minister’s Strategy Unit; 2004.
24.
go back to reference Office for National Statistics. Standard occupational classification 2010. Basingstoke, Hampshire: Palgrave Macmillan; 2010. Office for National Statistics. Standard occupational classification 2010. Basingstoke, Hampshire: Palgrave Macmillan; 2010.
26.
go back to reference Darlington F, Norman P, Ballas D. Working Paper-Exploring changing social structures and health using the Health Survey for England: a technical note on the creation and analysis of a time-series dataset in SPSS. Published Online First: 2014. http://eprints.whiterose.ac.uk/77494/. Darlington F, Norman P, Ballas D. Working Paper-Exploring changing social structures and health using the Health Survey for England: a technical note on the creation and analysis of a time-series dataset in SPSS. Published Online First: 2014. http://​eprints.​whiterose.​ac.​uk/​77494/​.
27.
go back to reference Di Castelnuovo A, Costanzo S, Bagnardi V, et al. Alcohol dosing and total mortality in men and women: an updated meta-analysis of 34 prospective studies. Arch Intern Med. 2006;166:2437–45.CrossRefPubMed Di Castelnuovo A, Costanzo S, Bagnardi V, et al. Alcohol dosing and total mortality in men and women: an updated meta-analysis of 34 prospective studies. Arch Intern Med. 2006;166:2437–45.CrossRefPubMed
28.
go back to reference Chikritzhs T, Fillmore K, Stockwell T. A healthy dose of scepticism: four good reasons to think again about protective effects of alcohol on coronary heart disease: a healthy dose of scepticism. Drug Alcohol Rev. 2009;28:441–4.CrossRefPubMed Chikritzhs T, Fillmore K, Stockwell T. A healthy dose of scepticism: four good reasons to think again about protective effects of alcohol on coronary heart disease: a healthy dose of scepticism. Drug Alcohol Rev. 2009;28:441–4.CrossRefPubMed
29.
go back to reference Fone DL, Farewell DM, White J, et al. Socioeconomic patterning of excess alcohol consumption and binge drinking: a cross-sectional study of multilevel associations with neighbourhood deprivation. BMJ Open. 2013;3:e002337–7. Fone DL, Farewell DM, White J, et al. Socioeconomic patterning of excess alcohol consumption and binge drinking: a cross-sectional study of multilevel associations with neighbourhood deprivation. BMJ Open. 2013;3:e002337–7.
30.
go back to reference Stuckler D, Basu S, Suhrcke M, et al. The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis. Lancet. 2009;374:315–23.CrossRefPubMed Stuckler D, Basu S, Suhrcke M, et al. The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis. Lancet. 2009;374:315–23.CrossRefPubMed
31.
go back to reference Meier PS, Meng Y, Holmes J, et al. Adjusting for unrecorded consumption in survey and per capita sales data: quantification of impact on gender- and age-specific alcohol-attributable fractions for oral and Pharyngeal Cancers in Great Britain. Alcohol Alcohol. 2013;48:241–9. doi:10.1093/alcalc/agt001.CrossRefPubMed Meier PS, Meng Y, Holmes J, et al. Adjusting for unrecorded consumption in survey and per capita sales data: quantification of impact on gender- and age-specific alcohol-attributable fractions for oral and Pharyngeal Cancers in Great Britain. Alcohol Alcohol. 2013;48:241–9. doi:10.​1093/​alcalc/​agt001.CrossRefPubMed
32.
go back to reference Dawson DA, Goldstein RB, Pickering RP, et al. Nonresponse bias in survey estimates of alcohol consumption and its association with harm. J Stud Alcohol Drugs. 2014;75:695–703.CrossRefPubMedPubMedCentral Dawson DA, Goldstein RB, Pickering RP, et al. Nonresponse bias in survey estimates of alcohol consumption and its association with harm. J Stud Alcohol Drugs. 2014;75:695–703.CrossRefPubMedPubMedCentral
33.
go back to reference Boniface S, Kneale J, Shelton N. Drinking pattern is more strongly associated with under-reporting of alcohol consumption than socio-demographic factors: evidence from a mixed-methods study. BMC Public Health. 2014;14:1297.CrossRefPubMedPubMedCentral Boniface S, Kneale J, Shelton N. Drinking pattern is more strongly associated with under-reporting of alcohol consumption than socio-demographic factors: evidence from a mixed-methods study. BMC Public Health. 2014;14:1297.CrossRefPubMedPubMedCentral
35.
go back to reference Bellis MA, Hughes K, Jones L, et al. Holidays, celebrations, and commiserations: measuring drinking during feasting and fasting to improve national and individual estimates of alcohol consumption. BMC Med. 2015;13:113.CrossRefPubMedPubMedCentral Bellis MA, Hughes K, Jones L, et al. Holidays, celebrations, and commiserations: measuring drinking during feasting and fasting to improve national and individual estimates of alcohol consumption. BMC Med. 2015;13:113.CrossRefPubMedPubMedCentral
36.
go back to reference Holmes J, Meng Y, Meier PS, et al. Effects of minimum unit pricing for alcohol on different income and socioeconomic groups: a modelling study. Lancet. 2014;383:1655–64.CrossRefPubMedPubMedCentral Holmes J, Meng Y, Meier PS, et al. Effects of minimum unit pricing for alcohol on different income and socioeconomic groups: a modelling study. Lancet. 2014;383:1655–64.CrossRefPubMedPubMedCentral
Metadata
Title
Unravelling the alcohol harm paradox: a population-based study of social gradients across very heavy drinking thresholds
Authors
Dan Lewer
Petra Meier
Emma Beard
Sadie Boniface
Eileen Kaner
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3265-9

Other articles of this Issue 1/2016

BMC Public Health 1/2016 Go to the issue