Evidence map›Paper›PMID 33888095›Full record

Observational studyBMC public health2021

Association of working shifts, inside and outside of healthcare, with severe COVID-19: an observational study.

A V Rowlands, C Gillies, Y Chudasama, M J Davies, N Islam, D E Kloecker, C Lawson, M Pareek, C Razieh, F Zaccardi and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  6. Circadian regulation of pulmonary disease: the importance of timing.Clinical science (London, England : 1979) · 2023
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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

12 authors at 4 institutions in 1 country.

A V RowlandsDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK. alex.rowlands@le.ac.uk.
C GilliesLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
Y ChudasamaLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
M J DaviesDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
N IslamNuffield Department of Population Health, University of Oxford, Oxford, UK.
D E KloeckerDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
C LawsonLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
M PareekDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
C RaziehDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
F ZaccardiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
T Yates *Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
K Khunti *Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Rd, Leicester, LE5 4PW, UK.
University of Leicester · GBNational Institute for Health Research · GBLeicester General Hospital · GBUniversity of Oxford · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/V020536/1Medical Research Council MR/V027549/1
6 · The paper itself

Abstract

backgroundHealth and key workers have elevated odds of developing severe COVID-19; it is not known, however, if this is exacerbated in those with irregular work patterns. We aimed to investigate the odds of developing severe COVID-19 in health and shift workers.

methodsWe included UK Biobank participants in employment or self-employed at baseline (2006-2010) and with linked COVID-19 data to 31st August 2020. Participants were grouped as neither a health worker nor shift worker (reference category) at baseline, health worker only, shift worker only, or both, and associations with severe COVID-19 investigated in logistic regressions.

resultsOf 235,685 participants (81·5% neither health nor shift worker, 1·4% health worker only, 16·9% shift worker only, and 0·3% both), there were 580 (0·25%) cases of severe COVID-19. The odds of severe COVID-19 was higher in health workers (adjusted odds ratio: 2·32 [95% CI: 1·33, 4·05]; shift workers (2·06 [1·72, 2·47]); and in health workers who worked shifts (7·56 [3·86, 14·79]). Being both a health worker and a shift worker had a possible greater impact on the odds of severe COVID-19 in South Asian and Black and African Caribbean ethnicities compared to White individuals.

conclusionsBoth health and shift work (measured at baseline, 2006-2010) were independently associated with over twice the odds of severe COVID-19 in 2020; the odds were over seven times higher in health workers who work shifts. Vaccinations, therapeutic and preventative options should take into consideration not only health and key worker status but also shift worker status.

Indexed as

COVID-19Delivery of Health CareEthnicityHumansSARS-CoV-2White PeopleCoronavirusEmploymentEthnicitySARS-CoV-2UK Biobank

Identifiers

PMID33888095
PMCPMC8061465
OpenAlexW3152900697

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.