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The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study

BACKGROUND: Globally, illness and life expectancy follow a social gradient that puts people of lower socioeconomic status (SES) at higher risk of dying prematurely. Alcohol consumption has been shown to be a factor contributing to socioeconomic differences in mortality. However, little evidence is a...

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Autores principales: Probst, Charlotte, Parry, Charles D. H., Wittchen, Hans-Ulrich, Rehm, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016129/
https://www.ncbi.nlm.nih.gov/pubmed/29936909
http://dx.doi.org/10.1186/s12916-018-1080-0
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author Probst, Charlotte
Parry, Charles D. H.
Wittchen, Hans-Ulrich
Rehm, Jürgen
author_facet Probst, Charlotte
Parry, Charles D. H.
Wittchen, Hans-Ulrich
Rehm, Jürgen
author_sort Probst, Charlotte
collection PubMed
description BACKGROUND: Globally, illness and life expectancy follow a social gradient that puts people of lower socioeconomic status (SES) at higher risk of dying prematurely. Alcohol consumption has been shown to be a factor contributing to socioeconomic differences in mortality. However, little evidence is available from low- and middle-income countries. The objective of this study was to quantify mortality attributable to alcohol consumption in the adult (15+ years) general population of South Africa in 2015 by SES, age, and sex. METHODS: A comparative risk assessment was performed using individual and aggregate data from South Africa and risk relations reported in the literature. Alcohol-attributable fractions (AAFs) and alcohol-attributable mortality rates were estimated for cause-specific mortality by SES, sex, and age. Monte Carlo simulation techniques were used to calculate 95% uncertainty intervals (UI). RESULTS: Overall, approximately 62,300 (95% UI 27,000–103,000) adults died from alcohol-attributable causes in South Africa in 2015, with 60% of deaths occurring in people in the low and 15% in the high SES groups. Age-standardized, alcohol-attributable mortality rates per 100,000 adults were highest for the low SES group (727 deaths, 95% UI 354–1208 deaths) followed by the middle (377 deaths, 95% UI 165–687 deaths) and high SES groups (163 deaths, 95% UI 71–289 deaths). The socioeconomic differences were highest for mortality from infectious diseases. People of low SES had a lower prevalence of current alcohol use but heavier drinking patterns among current drinkers. Among men, AAFs were elevated at low and middle SES, particularly for the middle and higher age groups (35+). Among women, AAFs differed less across SES groups and, in the youngest age group (15–34), women of high SES had elevated AAFs. CONCLUSIONS: Alcohol use contributed to vast socioeconomic differences in mortality. Where observed, elevated AAFs for people of low and middle SES arose from higher levels of consumption among current drinkers and not from the prevalence of current alcohol use per se. The findings can direct preventive measures and interventions on those at highest risk. Future research is needed to investigate socioeconomic differences in the risk functions relating alcohol use to cause-specific mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1080-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-60161292018-07-05 The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study Probst, Charlotte Parry, Charles D. H. Wittchen, Hans-Ulrich Rehm, Jürgen BMC Med Research Article BACKGROUND: Globally, illness and life expectancy follow a social gradient that puts people of lower socioeconomic status (SES) at higher risk of dying prematurely. Alcohol consumption has been shown to be a factor contributing to socioeconomic differences in mortality. However, little evidence is available from low- and middle-income countries. The objective of this study was to quantify mortality attributable to alcohol consumption in the adult (15+ years) general population of South Africa in 2015 by SES, age, and sex. METHODS: A comparative risk assessment was performed using individual and aggregate data from South Africa and risk relations reported in the literature. Alcohol-attributable fractions (AAFs) and alcohol-attributable mortality rates were estimated for cause-specific mortality by SES, sex, and age. Monte Carlo simulation techniques were used to calculate 95% uncertainty intervals (UI). RESULTS: Overall, approximately 62,300 (95% UI 27,000–103,000) adults died from alcohol-attributable causes in South Africa in 2015, with 60% of deaths occurring in people in the low and 15% in the high SES groups. Age-standardized, alcohol-attributable mortality rates per 100,000 adults were highest for the low SES group (727 deaths, 95% UI 354–1208 deaths) followed by the middle (377 deaths, 95% UI 165–687 deaths) and high SES groups (163 deaths, 95% UI 71–289 deaths). The socioeconomic differences were highest for mortality from infectious diseases. People of low SES had a lower prevalence of current alcohol use but heavier drinking patterns among current drinkers. Among men, AAFs were elevated at low and middle SES, particularly for the middle and higher age groups (35+). Among women, AAFs differed less across SES groups and, in the youngest age group (15–34), women of high SES had elevated AAFs. CONCLUSIONS: Alcohol use contributed to vast socioeconomic differences in mortality. Where observed, elevated AAFs for people of low and middle SES arose from higher levels of consumption among current drinkers and not from the prevalence of current alcohol use per se. The findings can direct preventive measures and interventions on those at highest risk. Future research is needed to investigate socioeconomic differences in the risk functions relating alcohol use to cause-specific mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1080-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-25 /pmc/articles/PMC6016129/ /pubmed/29936909 http://dx.doi.org/10.1186/s12916-018-1080-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Probst, Charlotte
Parry, Charles D. H.
Wittchen, Hans-Ulrich
Rehm, Jürgen
The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title_full The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title_fullStr The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title_full_unstemmed The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title_short The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study
title_sort socioeconomic profile of alcohol-attributable mortality in south africa: a modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016129/
https://www.ncbi.nlm.nih.gov/pubmed/29936909
http://dx.doi.org/10.1186/s12916-018-1080-0
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