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Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data
BACKGROUND: Alcohol-related mortality and morbidity are high in socioeconomically disadvantaged populations compared with individuals from advantaged areas. It is unclear if this increased harm reflects differences in alcohol consumption between these socioeconomic groups, reverse causation (ie, dow...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463030/ https://www.ncbi.nlm.nih.gov/pubmed/28626829 http://dx.doi.org/10.1016/S2468-2667(17)30078-6 |
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author | Katikireddi, Srinivasa Vittal Whitley, Elise Lewsey, Jim Gray, Linsay Leyland, Alastair H |
author_facet | Katikireddi, Srinivasa Vittal Whitley, Elise Lewsey, Jim Gray, Linsay Leyland, Alastair H |
author_sort | Katikireddi, Srinivasa Vittal |
collection | PubMed |
description | BACKGROUND: Alcohol-related mortality and morbidity are high in socioeconomically disadvantaged populations compared with individuals from advantaged areas. It is unclear if this increased harm reflects differences in alcohol consumption between these socioeconomic groups, reverse causation (ie, downward social selection for high-risk drinkers), or a greater risk of harm in individuals of low socioeconomic status compared with those of higher status after similar consumption. We aimed to investigate whether the harmful effects of alcohol differ by socioeconomic status, accounting for alcohol consumption and other health-related factors. METHODS: The Scottish Health Surveys are record-linked cross-sectional surveys representative of the adult population of Scotland. We obtained baseline demographics and data for alcohol consumption (units per week and binge drinking) from Scottish Health Surveys done in 1995, 1998, 2003, 2008, 2009, 2010, 2011, and 2012. We matched these data to records for deaths, admissions, and prescriptions. The primary outcome was alcohol-attributable admission or death. The relation between alcohol-attributable harm and socioeconomic status was investigated for four measures (education level, social class, household income, and area-based deprivation) using Cox proportional hazards models. The potential for alcohol consumption and other risk factors (including smoking and body-mass index [BMI]) mediating social patterning was explored in separate regression models. Reverse causation was tested by comparing change in area deprivation over time. FINDINGS: 50 236 participants (21 777 men and 28 459 women) were included in the analytical sample, with 429 986 person-years of follow-up. Low socioeconomic status was associated consistently with strikingly raised alcohol-attributable harms, including after adjustment for weekly consumption, binge drinking, BMI, and smoking. Evidence was noted of effect modification; for example, relative to light drinkers living in advantaged areas, the risk of alcohol-attributable admission or death for excessive drinkers was increased (hazard ratio 6·12, 95% CI 4·45–8·41 in advantaged areas; and 10·22, 7·73–13·53 in deprived areas). We found little support for reverse causation. INTERPRETATION: Disadvantaged social groups have greater alcohol-attributable harms compared with individuals from advantaged areas for given levels of alcohol consumption, even after accounting for different drinking patterns, obesity, and smoking status at the individual level. FUNDING: Medical Research Council, NHS Research Scotland, Scottish Government Chief Scientist Office. |
format | Online Article Text |
id | pubmed-5463030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54630302017-06-16 Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data Katikireddi, Srinivasa Vittal Whitley, Elise Lewsey, Jim Gray, Linsay Leyland, Alastair H Lancet Public Health Articles BACKGROUND: Alcohol-related mortality and morbidity are high in socioeconomically disadvantaged populations compared with individuals from advantaged areas. It is unclear if this increased harm reflects differences in alcohol consumption between these socioeconomic groups, reverse causation (ie, downward social selection for high-risk drinkers), or a greater risk of harm in individuals of low socioeconomic status compared with those of higher status after similar consumption. We aimed to investigate whether the harmful effects of alcohol differ by socioeconomic status, accounting for alcohol consumption and other health-related factors. METHODS: The Scottish Health Surveys are record-linked cross-sectional surveys representative of the adult population of Scotland. We obtained baseline demographics and data for alcohol consumption (units per week and binge drinking) from Scottish Health Surveys done in 1995, 1998, 2003, 2008, 2009, 2010, 2011, and 2012. We matched these data to records for deaths, admissions, and prescriptions. The primary outcome was alcohol-attributable admission or death. The relation between alcohol-attributable harm and socioeconomic status was investigated for four measures (education level, social class, household income, and area-based deprivation) using Cox proportional hazards models. The potential for alcohol consumption and other risk factors (including smoking and body-mass index [BMI]) mediating social patterning was explored in separate regression models. Reverse causation was tested by comparing change in area deprivation over time. FINDINGS: 50 236 participants (21 777 men and 28 459 women) were included in the analytical sample, with 429 986 person-years of follow-up. Low socioeconomic status was associated consistently with strikingly raised alcohol-attributable harms, including after adjustment for weekly consumption, binge drinking, BMI, and smoking. Evidence was noted of effect modification; for example, relative to light drinkers living in advantaged areas, the risk of alcohol-attributable admission or death for excessive drinkers was increased (hazard ratio 6·12, 95% CI 4·45–8·41 in advantaged areas; and 10·22, 7·73–13·53 in deprived areas). We found little support for reverse causation. INTERPRETATION: Disadvantaged social groups have greater alcohol-attributable harms compared with individuals from advantaged areas for given levels of alcohol consumption, even after accounting for different drinking patterns, obesity, and smoking status at the individual level. FUNDING: Medical Research Council, NHS Research Scotland, Scottish Government Chief Scientist Office. Elsevier, Ltd 2017-05-10 /pmc/articles/PMC5463030/ /pubmed/28626829 http://dx.doi.org/10.1016/S2468-2667(17)30078-6 Text en © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Katikireddi, Srinivasa Vittal Whitley, Elise Lewsey, Jim Gray, Linsay Leyland, Alastair H Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title | Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title_full | Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title_fullStr | Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title_full_unstemmed | Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title_short | Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
title_sort | socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463030/ https://www.ncbi.nlm.nih.gov/pubmed/28626829 http://dx.doi.org/10.1016/S2468-2667(17)30078-6 |
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