Evidence map›Paper›PMID 35617423›Full record

ArticlePLoS medicine2022

Risk factors associated with SARS-CoV-2 infection in a multiethnic cohort of United Kingdom healthcare workers (UK-REACH): A cross-sectional analysis.

Christopher A Martin, Daniel Pan, Carl Melbourne, Lucy Teece, Avinash Aujayeb, Rebecca F Baggaley, Luke Bryant, Sue Carr, Bindu Gregary, Amit Gupta and 15 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
9.6field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Clinical Symptom Patterns as Predictors of SARS-CoV-2 Infection in Healthcare Workers in Puerto Rico.International journal of environmental research and public health · 2025
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  18. Analysis of the prevalence of anti-SARS-CoV-2 antibodies in groups of medical and non-medical professions.International journal of occupational medicine and environmental health · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 10 institutions in 1 country.

Christopher A MartinDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-2337-4799
Daniel PanDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-1268-2243
Carl MelbourneGenetic Epidemiology Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0001-7216-4547
Lucy TeeceBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0001-6669-8534
Avinash AujayebRespiratory Department, Northumbria Specialist Emergency Care Hospital, United Kingdom.ORCID 0000-0002-0859-5550
Rebecca F BaggaleyDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-4688-3924
Luke BryantDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0001-5231-4851
Sue CarrDepartment of Nephrology, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.ORCID 0000-0003-3726-3560
Bindu GregaryLancashire Clinical Research Facility, Royal Preston Hospital, United Kingdom.
Amit GuptaOxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.ORCID 0000-0002-2628-3761
Anna L GuyattDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-1860-6337
Catherine JohnDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-6057-2073
I Chris McManusUniversity College London Medical School, London, United Kingdom.
Joshua NazarethDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-0603-9091
Laura B NellumsPopulation and Lifespan Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Rubina RezaCentre for Research & Development, Derbyshire Healthcare NHS Foundation Trust, Derby, United Kingdom.ORCID 0000-0003-3257-807X
Sandra SimpsonNottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom.ORCID 0000-0002-9621-0699
Martin D TobinDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.
Katherine WoolfUniversity College London Medical School, London, United Kingdom.ORCID 0000-0003-4915-0715
Stephen ZingweResearch and Development Department, Berkshire Healthcare NHS Foundation Trust, Bracknell, United Kingdom.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-2343-7099
Keith R AbramsDepartment of Statistics, University of Warwick, United Kingdom.ORCID 0000-0002-7557-1567
Laura J GrayBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-9284-9321
Manish PareekDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-1521-9964
UK-REACH Study Collaborative Group
University of Leicester · GBUniversity College London · GBBerkshire Healthcare NHS Foundation Trust · GBGeneral Medical Council · GBNorthumbria Specialist Emergency Care Hospital · GBNottinghamshire Healthcare NHS Foundation Trust · GBOxford University Hospitals NHS Trust · GBRoyal Preston Hospital · GBUniversity of Nottingham · GBUniversity of Warwick · GB

Funding

British Heart Foundation AA/18/3/34220Department of Health ACF-2018-11-004Department of Health CDF-2017-10-008Department of Health NIHR301192HSRD VA TPP 10-008Medical Research Council MC_PC_19004Medical Research Council MR/P00167X/1Medical Research Council MR/V027549/1Wellcome TrustWellcome Trust 204801/Z/16/ZWellcome Trust WT202849/Z/16/Z
6 · The paper itself

Abstract

backgroundHealthcare workers (HCWs), particularly those from ethnic minority groups, have been shown to be at disproportionately higher risk of infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) compared to the general population. However, there is insufficient evidence on how demographic and occupational factors influence infection risk among ethnic minority HCWs. METHODS AND

findingsWe conducted a cross-sectional analysis using data from the baseline questionnaire of the United Kingdom Research study into Ethnicity and Coronavirus Disease 2019 (COVID-19) Outcomes in Healthcare workers (UK-REACH) cohort study, administered between December 2020 and March 2021. We used logistic regression to examine associations of demographic, household, and occupational risk factors with SARS-CoV-2 infection (defined by polymerase chain reaction (PCR), serology, or suspected COVID-19) in a diverse group of HCWs. The primary exposure of interest was self-reported ethnicity. Among 10,772 HCWs who worked during the first UK national lockdown in March 2020, the median age was 45 (interquartile range [IQR] 35 to 54), 75.1% were female and 29.6% were from ethnic minority groups. A total of 2,496 (23.2%) reported previous SARS-CoV-2 infection. The fully adjusted model contained the following dependent variables: demographic factors (age, sex, ethnicity, migration status, deprivation, religiosity), household factors (living with key workers, shared spaces in accommodation, number of people in household), health factors (presence/absence of diabetes or immunosuppression, smoking history, shielding status, SARS-CoV-2 vaccination status), the extent of social mixing outside of the household, and occupational factors (job role, the area in which a participant worked, use of public transport to work, exposure to confirmed suspected COVID-19 patients, personal protective equipment [PPE] access, aerosol generating procedure exposure, night shift pattern, and the UK region of workplace). After adjustment, demographic and household factors associated with increased odds of infection included younger age, living with other key workers, and higher religiosity. Important occupational risk factors associated with increased odds of infection included attending to a higher number of COVID-19 positive patients (aOR 2.59, 95% CI 2.11 to 3.18 for ≥21 patients per week versus none), working in a nursing or midwifery role (1.30, 1.11 to 1.53, compared to doctors), reporting a lack of access to PPE (1.29, 1.17 to 1.43), and working in an ambulance (2.00, 1.56 to 2.58) or hospital inpatient setting (1.55, 1.38 to 1.75). Those who worked in intensive care units were less likely to have been infected (0.76, 0.64 to 0.92) than those who did not. Black HCWs were more likely to have been infected than their White colleagues, an effect which attenuated after adjustment for other known risk factors. This study is limited by self-selection bias and the cross sectional nature of the study means we cannot infer the direction of causality.

conclusionsWe identified key sociodemographic and occupational risk factors associated with SARS-CoV-2 infection among UK HCWs, and have determined factors that might contribute to a disproportionate odds of infection in HCWs from Black ethnic groups. These findings demonstrate the importance of social and occupational factors in driving ethnic disparities in COVID-19 outcomes, and should inform policies, including targeted vaccination strategies and risk assessments aimed at protecting HCWs in future waves of the COVID-19 pandemic.

trial registrationThe study was prospectively registered at ISRCTN (reference number: ISRCTN11811602).

Indexed as

COVID-19Cohort StudiesCommunicable Disease ControlCOVID-19 VaccinesCross-Sectional StudiesEthnicityFemaleHealth PersonnelHumansMaleMiddle AgedMinority GroupsPandemicsRisk FactorsSARS-CoV-2United KingdomCOVID-19 Vaccines

Identifiers

PMID35617423
PMCPMC9187071
OpenAlexW4281816850

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.