Evidence map›Paper›PMID 41275891›Full record

ArticleAddiction (Abingdon, England)2026

Has alcohol consumption in England returned to pre-COVID-19 pandemic levels? A monthly population study, 2014 to 2024.

Vera Helen Buss, Melissa Oldham, Sarah E Jackson, Lion Shahab, Colin Angus, John Holmes, Jamie Brown

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. A Data-Driven Exploratory Analysis of the Alcohol-Harm Paradox in South-East Wales.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Vera Helen BussDepartment of Behavioural Science and Health, University College London, London, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0001-9963-8693
Melissa OldhamDepartment of Behavioural Science and Health, University College London, London, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0002-5353-9152
Sarah E JacksonDepartment of Behavioural Science and Health, University College London, London, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0001-5658-6168
Lion ShahabDepartment of Behavioural Science and Health, University College London, London, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0003-4033-442X
Colin AngusSPECTRUM Research Consortium, Edinburgh, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0003-0529-4135
John HolmesSPECTRUM Research Consortium, Edinburgh, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0001-9283-2151
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, United Kingdom of Great Britain and Northern Ireland.ORCID https://orcid.org/0000-0002-2797-5428

Funding

Cancer Research UK PRCRPG-Nov21\100002UK Prevention Research Partnership MR/S037519/1
6 · The paper itself

Abstract

aimTo determine whether alcohol consumption in England had returned to pre-pandemic levels by December 2024, after the initial rise in 2020 across the total population and subgroups.

designMonthly representative surveys were conducted through face-to-face interviews until February 2020, and then by telephone.

settingEngland, March 2014 to December 2024.

participants208 010 adults aged 18+ living in private households. MEASUREMENTS: Mean weekly alcohol consumption (in UK units), prevalence of risky drinking (Alcohol Use Disorders Identification Test for Consumption [AUDIT-C] score≥5), and possible dependence (AUDIT-C ≥ 11). Further measures included age, gender, and social grade.

findingsAll outcomes increased in April 2020: prevalence of risky drinking by 30.3% (95% confidence interval [CI]: 26.8, 33.8, from 26.2% in February 2020 to 34.0% in April 2020), prevalence of possible dependence by 90.2% (95% CI: 62.2, 122.9, from 0.9% to 1.7%) and mean weekly alcohol consumption by 34.5% (95% CI: 31.0, 38.0, from 5.0 units to 6.6 units). When adjusting for the survey mode change from face-to-face to telephone interviews, the step changes between February and April 2020 remained but were substantially attenuated. The post-pandemic trend declined more quickly than the pre-pandemic trend for the prevalence of risky drinking (difference: -1.5%/year, 95% CI: -2.4, -0.6) and mean weekly alcohol consumption (difference: -2.4%/year, 95% CI: -3.3, -1.6), indicating a slow but incomplete return to pre-pandemic levels. The trend in prevalence of possible dependence was similarly stable before and after the pandemic (difference: -1.3%/year, 95% CI: -6.2, 3.8). Alcohol consumption declined more slowly among people from less advantaged than from more advantaged social grades.

conclusionsThe prevalence of risky drinking and mean weekly alcohol consumption in England appear to be trending towards pre-pandemic levels but the prevalence of dependent drinking in England appears to have increased since the start of the pandemic and remains elevated compared with pre-pandemic levels. Alcohol-related inequalities may be worsening due to slower declines in consumption following the pandemic among less advantaged drinkers.

Indexed as

Alcohol DrinkingAlcoholismCOVID-19AdolescentAdultAgedEnglandFemaleHumansMaleMiddle AgedPandemicsPrevalenceSARS-CoV-2Young Adultalcohol consumptionalcohol dependenceEnglandGreat Britainhealth inequitiessocio‐economic factors

Identifiers

PMID41275891
PMCPMC12980288

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.