Evidence map›Paper›PMID 36829127›Full record

Observational studyBMC public health2023

Non-pharmaceutical interventions and risk of COVID-19 infection: survey of U.K. public from November 2020 - May 2021.

Nick A Francis, Taeko Becque, Merlin Willcox, Alastair D Hay, Mark Lown, Richard Clarke, Beth Stuart, Lucy Yardley, Michael Moore, Joëlle Houriet and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

11 authors at 4 institutions in 1 country.

Nick A FrancisPrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK. Nick.francis@soton.ac.uk.
Taeko BecquePrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
Merlin WillcoxPrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
Alastair D HayCentre for Academic Primary Care, Bristol Medical School: Population Health Sciences, NIHR School for Primary Care Research, University of Bristol, 39 Whatley Road, Bristol, BS8 2PS, UK.
Mark LownPrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
Richard ClarkeSchool of Natural and Social Sciences, University of Gloucestershire, Francis Close Hall, Swindon Road, Cheltenham, GL50 4AZ, UK.
Beth StuartPragmatic Clinical Trials Unit, Queen Mary University of London, Yvonne Carter Building, 58 Turner Street, London, E1 2AB, UK.
Lucy YardleySchool of Psychology, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
Michael MoorePrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
Joëlle HourietAntenna Foundation, Avenue de La Grenade 24, 1207, Geneva, Switzerland.
Paul LittlePrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, NIHR School for Primary Care Research, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
University of Southampton · GBQueen Mary University of London · GBUniversity of Bristol · GBUniversity of Gloucestershire · GB

Funding

NIHR School for Primary Care Research 496
6 · The paper itself

Abstract

introductionNon-pharmaceutical interventions (NPIs), such as handwashing, social distancing and face mask wearing, have been widely promoted to reduce the spread of COVID-19. This study aimed to explore the relationship between self-reported use of NPIs and COVID-19 infection.

methodsWe conducted an online questionnaire study recruiting members of the UK public from November 2020 to May 2021. The association between self-reported COVID-19 illness and reported use of NPIs was explored using logistic regression and controlling for participant characteristics, month of questionnaire completion, and vaccine status. Participants who had been exposed to COVID-19 in their household in the previous 2 weeks were excluded.

resultsTwenty-seven thousand seven hundred fifty-eight participants were included and 2,814 (10.1%) reported having a COVID-19 infection. The odds of COVID-19 infection were reduced with use of a face covering in unadjusted (OR 0.17 (95% CI: 0.15 to 0.20) and adjusted (aOR 0.19, 95% CI 0.16 to 0.23) analyses. Social distancing (OR 0.27, 95% CI: 0.22 to 0.31; aOR 0.35, 95% CI 0.28 to 0.43) and handwashing when arriving home (OR 0.57, 95% CI 0.46 to 0.73; aOR 0.63, 95% CI: 0.48 to 0.83) also reduced the odds of COVID-19. Being in crowded places of 10-100 people (OR 1.89, 95% CI: 1.70 to 2.11; aOR 1.62, 95% CI: 1.42 to 1.85) and > 100 people (OR 2.33, 95% CI: 2.11 to 2.58; aOR 1.73, 95% CI: 1.53 to 1.97) were both associated with increased odds of COVID-19 infection. Handwashing before eating, avoiding touching the face, and cleaning things with virus on were all associated with increased odds of COVID-19 infections.

conclusionsThis large observational study found evidence for strong protective effects for individuals from use of face coverings, social distancing (including avoiding crowded places) and handwashing on arriving home on developing COVID-19 infection. We also found evidence for an increased risk associated with other behaviours, possibly from recall bias.

Indexed as

COVID-19Hand DisinfectionHumansSARS-CoV-2Self ReportSurveys and QuestionnairesCOVID-19Face coveringHandwashingNon-pharmaceutical interventionsRiskSocial distancing

Identifiers

PMID36829127
PMCPMC9951136
OpenAlexW4321787180

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.