Evidence map›Paper›PMID 35108758›Full record

ArticleAddiction (Abingdon, England)2022

The impact of changes in COVID-19 lockdown restrictions on alcohol consumption and drinking occasion characteristics in Scotland and England in 2020: an interrupted time-series analysis.

Iain Hardie, Abigail K Stevely, Alessandro Sasso, Petra S Meier, John Holmes

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Alcohol use and COVID-19: three-year impact for the Czech Republic.Central European journal of public health · 2025
    Article
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  10. COVID-19 pandemic impact on ocular trauma in a tertiary hospital.International journal of ophthalmology · 2023
    Article
  11. Article
  12. Observational
  13. Article
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

5 authors at 2 institutions in 1 country.

Iain HardieMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0002-4694-3755
Abigail K StevelySheffield Alcohol Research Group (SARG), School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-5637-5245
Alessandro SassoSheffield Alcohol Research Group (SARG), School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0001-8909-926X
Petra S MeierMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0001-5354-1933
John HolmesSheffield Alcohol Research Group (SARG), School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0001-9283-2151
University of Sheffield · GBMRC/CSO Social and Public Health Sciences Unit · GB

Funding

Medical Research Council MC_UU_00022/5
6 · The paper itself

Abstract

BACKGROUND AND

aimsEarly evidence suggests that COVID-19 lockdown restrictions affect alcohol consumption. However, existing studies lack data on how drinking practices changed as restrictions disrupted people's work, family life and socializing routines. We examined changes in consumption and drinking occasion characteristics during three periods of changing restrictions in Scotland/England.

designInterrupted time-series analysis of repeat cross-sectional market research data (assessing step-level changes).

settingScotland/England, January 2009-December 2020.

participantsScotland: 41 507 adult drinkers; England: 253 148 adult drinkers. MEASUREMENTS: Three intervention points: March 2020 lockdown, July 2020 easing of restrictions and October 2020 re-introduction of some restrictions. PRIMARY OUTCOME: mean units consumed per week (total/off-trade/on-trade; 1 unit = 8 g ethanol). SECONDARY OUTCOMES: drinking > 14 units per week, heavy drinking, drinking days per week, solitary drinking, drinking with family/partners, drinking with friends/colleagues, own-home drinking, drinking in someone else's home and drinking start times.

findingsIn Scotland, March 2020's lockdown was associated with a 2.32 [95% confidence interval (CI) = 0.61, 4.02] increase in off-trade (i.e. shop-bought) units per week, a -2.84 (95% CI = -3.63, -2.06) decrease in on-trade (i.e. licensed venues) units per week, but no statistically significant change in total units per week. July 2020's easing of restrictions was associated with a 1.33 (95% CI = 0.05, 2.62) increase in on-trade units per week, but no statistically significant total/off-trade consumption changes. October 2020's re-introduction of some restrictions was not associated with statistically significant consumption changes. Results for England were broadly similar. Lockdown restrictions were also associated with later drinking start times, fewer occasions in someone else's home and with friends/colleagues, more own-home drinking and (in Scotland only) more solitary drinking.

conclusionsReductions in on-trade alcohol consumption following COVID-19 lockdown restrictions in Scotland/England in 2020 were mainly offset by increased own-home drinking. This largely persisted in periods of greater/lesser restrictions. The shift towards off-trade drinking involved significant changes in the characteristics of drinking occasions.

Indexed as

COVID-19AdultAlcohol DrinkingCommunicable Disease ControlCross-Sectional StudiesHumansScotlandAlcohol consumptionCOVID-19 pandemicdrinking occasion characteristicsinterrupted time-series analysislockdown restrictionspolicy analysis

Identifiers

PMID35108758
PMCPMC9302640
OpenAlexW4210548448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.