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BMJ Open 5:e007525 doi:10.1136/bmjopen-2014-007525
  • Addiction
    • Research

Alcohol use, socioeconomic deprivation and ethnicity in older people

  1. Mark Ashworth2
  1. 1Department of Old Age Psychiatry, Institute of Psychiatry, London, UK
  2. 2Department of Primary Care and Public Health Sciences, King's College London, London, UK
  1. Correspondence to Dr Rahul Rao; tony.rao{at}kcl.ac.uk
  • Received 23 December 2014
  • Revised 15 July 2015
  • Accepted 17 July 2015
  • Published 24 August 2015

Abstract

Objectives This study explores the relationship between alcohol consumption, health, ethnicity and socioeconomic deprivation.

Participants 27 991 people aged 65 and over from an inner-city population, using a primary care database.

Primary and Secondary Outcome Measures Primary outcome measures were alcohol use and misuse (>21 units per week for men and >14 for units per week women).

Results Older people of black and minority ethnic (BME) origin from four distinct ethnic groups comprised 29% of the sample. A total of 9248 older drinkers were identified, of whom 1980 (21.4%) drank above safe limits. Compared with older drinkers, older unsafe drinkers contained a higher proportion of males, white and Irish ethnic groups and a lower proportion of Caribbean, African and Asian groups. For older drinkers, the strongest independent predictors of higher alcohol consumption were younger age, male gender and Irish ethnicity. Independent predictors of lower alcohol consumption were Asian, black Caribbean and black African ethnicity. Socioeconomic deprivation and comorbidity were not significant predictors of alcohol consumption in older drinkers. For older unsafe drinkers, the strongest predictor variables were younger age, male gender and Irish ethnicity; comorbidity was not a significant predictor. Lower socioeconomic deprivation was a significant predictor of unsafe consumption whereas African, Caribbean and Asian ethnicity were not.

Conclusions Although under-reporting in high-alcohol consumption groups and poor health in older people who have stopped or controlled their drinking may have limited the interpretation of our results, we suggest that closer attention is paid to ‘young older’ male drinkers, as well as to older drinkers born outside the UK and those with lower levels of socioeconomic deprivation who are drinking above safe limits.

Strengths and limitations of this study

  • To our knowledge, the first published UK study examining the impact of socioeconomic deprivation, ethnicity and comorbidity on alcohol use in older people, based on primary care data.

  • The database contains an almost complete population sample of older people within a geographically defined inner-city area.

  • Sample not representative of the UK population, containing lower proportion of people aged 65 and over and higher population of people with Irish ethnicity than the UK population.

  • Under-reporting may have been present when alcohol consumption recorded.

  • Difficult to extrapolate the findings from an inner-city population to other geographical areas.

Introduction

The clinical and public health aspects of alcohol use and misuse in older people have been brought sharply into focus over the past few years, with the recognition of a growing burden of morbidity and mortality that includes drinking above recommended limits, alcohol-related hospital admissions, alcohol-related deaths and the presence of accompanying mental disorders or ‘dual diagnosis’ in alcohol misuse.1–3Concerns have also been raised that current recommendations on safe drinking limits are set too high for older age groups.4

In the UK, older people from some black and minority ethnic backgrounds have higher levels of alcohol misuse than the general older population, with Irish and south Asian (Sikh) male migrants to the UK being at particular risk.5 In certain areas of the UK, the combination of Irish ethnicity and social marginalisation is known to be associated with high rates of alcohol misuse.6 A combination of ‘Irish’ (greater number of drinks per drinking session) and ‘English’ (greater number of days engaged in drinking) drinking patterns may be responsible for the greater risk of harmful drinking.7 This is further compounded by negative stereotyping and low rates of primary care consultation in the Irish population.8 These factors may influence access to alcohol services.

The relationship between socioeconomic deprivation and alcohol misuse in older people is more complex, particularly when factors such as previous occupation are taken into account.9 Higher socioeconomic status is known to be associated with higher alcohol consumption in older people, with income showing a positive association with moderate and heavy drinking.10–13

There has been a dearth of literature examining alcohol misuse and its relationship with socioeconomic and health status in older UK populations. The only published study in people aged 65 years and over exploring the relationship between alcohol consumption, socioeconomic status and health involved a sample population aged 75 and over.

In this study, drinking above recommended limits of 21 units (168 g of pure ethanol) for men and 14 units (112 g of pure ethanol) for women was associated with greater anxiety and with tobacco smoking compared with non-drinkers and those drinking within recommended limits.

Independent variables predicting this drinking pattern were being male, having a reduced risk of both myocardial infarction and diabetes mellitus, as well as a higher rating of self-reported health status and being a home owner (as a proxy measure of socioeconomic status).14 However, an under-estimation of cardiovascular burden in those drinking above recommended limits coupled with an over-representation of cardiovascular disease in those who have reduced their intake following ill-health (so-called ‘sick quitters’) are likely to have influenced the findings. The study did not provide details of non-responders, which may have also influenced the validity of the results.

The current study examines the association between alcohol consumption, ethnicity, socioeconomic deprivation and health in an inner-city cohort of people aged 65 years and over using a patient-level, primary care database from general practices in south east London, UK.

Method

Data source

We obtained data from Lambeth DataNet, an anonymised data set consisting of anonymised Read-coded clinical data derived from general practices in Lambeth, in inner London.15 The data set contains clinical data from all patients registered at practices contributing data to Lambeth DataNet. Data were extracted in October 2013 at which time 366 323 patients were registered at the 49 out of 50 practices participating in Lambeth DataNet; the remaining practice had an incompatible clinical software system. Socioeconomic deprivation was measured using the Index of Multiple Deprivation 2010 (McLennan et al 2011). This compares areas of similar population size, each termed a Lower layer Super Output Area (LSOA). The Index of Multiple Deprivation (IMD) index within these LSOAs is made up of seven LSOA level domain indices. These relate to income deprivation, employment deprivation, health deprivation and disability, education skills and training deprivation, barriers to housing and services, living environment deprivation and crime.16

Study sample

We confined our analysis to those aged 65 years and over, producing a sample of 27 991 patients (7.6% of the registered population).

Data analysis

In order to determine the association between alcohol consumption and the demographic and clinical variables, we constructed a series of regression models. The outcome variable was the volume of alcohol consumption (units per week). Predictor variables included age, gender, ethnicity and specified comorbidities.

Comorbidity consisted of all long-term conditions which are part of the Quality and Outcomes Framework (Department of Health, 2003),17 including hypertension, respiratory disease, heart disease, chronic kidney disease, stroke, cancer, thyroid disease, dementia and depression. Regression analyses were carried for all older people coded as drinking any alcohol. Given that drinking above safe limits is known to be associated with alcohol-related harm, the regression analysis was repeated for older men and women drinking above safe limits (>21 units for men and >14 for women).

Standardised β coefficients were used in data interpretation for regression analyses. All statistical analyses were performed using SPSS V.22. The β value in this study is a measure of how strongly each predictor variable influenced alcohol consumption.

Results

The age, sex and ethnicity of the whole population and those aged 65 years and over are displayed in table 1. Twenty per cent of ethnicity data was missing for the whole sample and 14% missing for the group aged 65 years and over. The remaining breakdown of ethnicity (where available) is shown in table 1.

Table 1

Demographic features of patients

Predictors of alcohol consumption in older people

Age, gender, ethnicity, comorbidity and deprivation score accounted for 31.1% of the variance in alcohol consumption in older drinkers (table 3).

Table 2

Demographic features of patients aged 65 and over drinking alcohol

Table 3

Predictors of alcohol consumption in older people

Figure 1

Alcohol consumption in older drinkers.

The strongest independent predictors of higher alcohol consumption were younger age, male gender and Irish ethnicity. Independent predictors of lower alcohol consumption were Asian, black Caribbean and black African ethnicity. However, socioeconomic deprivation and comorbidity were not significant predictors of alcohol consumption.

Predictors of alcohol consumption in older unsafe drinkers

We repeated our regression analysis (table 4) in those who drank above the safe limits of alcohol (n=1980). This model predicted 41.6% of the variance in alcohol consumption.

Table 4

Predictors of alcohol consumption in older unsafe drinkers

As in the previous model, the three strongest predictor variables were younger age, male gender and Irish ethnicity; comorbidity was not a significant predictor. Unlike the previous model, a lower level of socioeconomic deprivation was a significant predictor of ‘unsafe’ consumption whereas African, Caribbean and Asian ethnicity were not significant predictors.

Discussion

We found clear associations between alcohol consumption and age, gender and ethnicity in our older drinkers, as well as between unsafe drinking and age, gender and socioeconomic deprivation.

To our knowledge, this is the first published UK study examining the impact of socioeconomic deprivation, ethnicity and comorbidity on alcohol use in older people, based on primary care data. Uniquely, the database contains an almost complete population sample of older people within a geographically defined inner-city area.

Our inner-city older population was not representative of the UK population. It contained a comparatively lower proportion of people aged 65 and over (7.6%) compared with 16% of the UK population.18 Conversely, the population of people of Irish ethnicity in our group aged 65 and over was 5%, as compared with 1.7% of the UK population.18

In our cohort of older patients, those closer to the age of 65 were more likely to drink and more likely to be unsafe drinkers than more elderly patients. This is consistent with previous community-based studies of drinking in older people.19–21 ,13 A similar observation has been noted for increased alcohol use in men as compared to women in the same studies.19–21 ,13

The relationship between alcohol consumption and socioeconomic status has started to receive increased attention over the past decade, with some consistency in the observation that older people are more likely to drink more if they have less socioeconomic deprivation.20–22

In the current study, deprivation scores did not predict alcohol intake in the group drinking alcohol, but lower deprivation did predict higher alcohol use in those older people drinking above safe limits. This may be surprising in an inner-city population, given that environmental factors such as not going out of the home and a change in social circumstances have been found to predict unhealthy drinking behaviour in older people.23 Similarly, living alone has been shown to increase hazardous alcohol use in an older age group.24

Our study found no association between comorbidity across a range of physical and mental disorders. It is possible that it was confounded by problems found from other studies such as under-reporting and the presence of ‘sick quitters’. There is conflicting evidence for an association between alcohol misuse and depression,24–26 as well as with physical health status.20 ,23–25

Recording of functional activity scores was poorly recorded in our data set. We were unable to include data covering activities of daily living, although the association between alcohol intake and functional impairment in older people has produced similarly conflicting findings.26–30

Our observation that the top 5% of men and women drinking any alcohol were drinking more than 49 units and more than 23 units per week, respectively, is in line with very similar findings from national data on drinking patterns for older people in England28 However, over 21% of all older people in our study who drank any alcohol did so above safe limits. This is more than that of both men and women in the general population, which is 20% and 9% respectively.29 The reason for this remains unclear, but may be attributable to an older population of Irish ethnicity whose proportion is three times higher than the UK population.

There are several limitations to this study. Missing ethnicity was higher in unsafe drinkers than older drinkers, which may have influenced our findings. We did not have a breakdown of ethnicity data within African and Asian groups. Selection bias from under-reporting is also known to occur in studies that explore substance use in older people,30–32 given the stigma associated with drinking. It is also difficult to extrapolate the findings from an inner-city population to other geographical areas.

Although further separation of drinking limits would make the analysis and interpretation of the study less robust, the possibility of residual confounding within narrower age bands needs to be considered.

Addressing the risk factors for alcohol use and misuse in older people is paramount to improving the health and social outcomes, as well as reducing the public health burden associated with unhealthy alcohol use in older people.

Alcohol-related harm contributes to between 3% and 5% of global deaths and disability-adjusted life-years worldwide, as well as amounting to more than 1% of the gross domestic product in high-income and middle-income countries.33

This harm is strongly related to alcohol intake, with a stronger association in poor people and in those who are marginalised from society. In the UK, the contributions of cirrhosis to premature mortality rose from 1990 to 2010.34

There is considerable scope for reducing alcohol-related harm, particularly through regulating access to alcohol consumption from increasing price and reducing availability.35

Although the exact definition of unhealthy use continues to be debated,36 ,37 the impact of alcohol misuse in older populations continues to weigh heavy on clinical services38 ,39

The effect of higher levels of alcohol misuse in the ‘baby boomer’ cohort than in younger age groups has particular relevance to the current study.40 Our findings suggest that close attention needs to be paid to identifying alcohol misuse in ‘young older’ men, paying close attention to the needs of those born outside the UK41 ,42 and those living in areas of lower deprivation.

As such, these findings will have implications for informing policy, commissioning services, training in detection and treatment, together with integrated care for older people at greatest risk for alcohol misuse.

Footnotes

  • Twitter Follow Rahul Rao at @kentjrchess

  • Contributors RR and MA made substantial contributions to the design, analysis and interpretation of data for the work. PS made a substantial contributions to the analysis and interpretation of data for the work. RR, MA and PS made substantial contributions to revising it critically for important intellectual content; giving final approval of the version to be published and all agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy of any part of the work are appropriately investigated and resolved.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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