Modelling the longer-term health and health inequality impacts of changes in alcohol consumption during the COVID-19 pandemic in England.

COVID-19 alcohol public health

Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
01 Feb 2024
Historique:
received: 29 09 2023
revised: 12 12 2023
medline: 2 2 2024
pubmed: 2 2 2024
entrez: 2 2 2024
Statut: aheadofprint

Résumé

Alcohol consumption changed substantially during the COVID-19 pandemic for many people. This study quantified how these changes in drinking varied across the population and their potential longer-term impact on health and health inequalities. We analyzed data from the Alcohol Toolkit Study to estimate how alcohol consumption changed during the pandemic (April 2020-November 2021) and how these changes varied with age, sex, drinking level and socioeconomic position. We combined these estimates with a range of alternative scenarios of future alcohol consumption and used the Sheffield Alcohol Policy Model to assess the long-term health and health inequality impacts of these changes. Alcohol consumption in 2020-21 increased in heavier drinkers but fell in moderate drinkers. If alcohol consumption returns to pre-pandemic levels in 2022, we estimate a total of 42 677 additional hospital admissions and 1830 deaths over 20 years because of these changes. If consumption remains at 2021 levels in the long-term these figures rise to 355 832 and 12 849, respectively. In all scenarios, the biggest increase in harm occurs in the most deprived 20% of the population. Pandemic-era changes in alcohol consumption are likely to have a significant negative impact on public health and health inequalities, even under optimistic assumptions about future drinking.

Sections du résumé

BACKGROUND BACKGROUND
Alcohol consumption changed substantially during the COVID-19 pandemic for many people. This study quantified how these changes in drinking varied across the population and their potential longer-term impact on health and health inequalities.
METHODS METHODS
We analyzed data from the Alcohol Toolkit Study to estimate how alcohol consumption changed during the pandemic (April 2020-November 2021) and how these changes varied with age, sex, drinking level and socioeconomic position. We combined these estimates with a range of alternative scenarios of future alcohol consumption and used the Sheffield Alcohol Policy Model to assess the long-term health and health inequality impacts of these changes.
RESULTS RESULTS
Alcohol consumption in 2020-21 increased in heavier drinkers but fell in moderate drinkers. If alcohol consumption returns to pre-pandemic levels in 2022, we estimate a total of 42 677 additional hospital admissions and 1830 deaths over 20 years because of these changes. If consumption remains at 2021 levels in the long-term these figures rise to 355 832 and 12 849, respectively. In all scenarios, the biggest increase in harm occurs in the most deprived 20% of the population.
CONCLUSIONS CONCLUSIONS
Pandemic-era changes in alcohol consumption are likely to have a significant negative impact on public health and health inequalities, even under optimistic assumptions about future drinking.

Identifiants

pubmed: 38304989
pii: 7596234
doi: 10.1093/pubmed/fdae010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHS England and NHS Improvement

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Colin Angus (C)

Sheffield Centre for Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.

Madeleine Henney (M)

Sheffield Centre for Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.

Robert Pryce (R)

Sheffield Centre for Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.

Classifications MeSH