Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?

Abstract Background There are many ways in which selection bias might impact COVID-19 research. Here we focus on selection for receiving a polymerase-chain-reaction (PCR) SARS-CoV-2 test and how known changes to selection pressures over time may bias research into COVID-19 infection. Methods Using U...

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Main Authors: Alice R Carter, Gemma L Clayton, M Carolina Borges, Laura D Howe, Rachael A Hughes, George Davey Smith, Deborah A Lawlor, Kate Tilling, Gareth J Griffith
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-023-16767-5
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author Alice R Carter
Gemma L Clayton
M Carolina Borges
Laura D Howe
Rachael A Hughes
George Davey Smith
Deborah A Lawlor
Kate Tilling
Gareth J Griffith
author_facet Alice R Carter
Gemma L Clayton
M Carolina Borges
Laura D Howe
Rachael A Hughes
George Davey Smith
Deborah A Lawlor
Kate Tilling
Gareth J Griffith
author_sort Alice R Carter
collection DOAJ
description Abstract Background There are many ways in which selection bias might impact COVID-19 research. Here we focus on selection for receiving a polymerase-chain-reaction (PCR) SARS-CoV-2 test and how known changes to selection pressures over time may bias research into COVID-19 infection. Methods Using UK Biobank (N = 420,231; 55% female; mean age = 66.8 [SD = 8·11]) we estimate the association between socio-economic position (SEP) and (i) being tested for SARS-CoV-2 infection versus not being tested (ii) testing positive for SARS-CoV-2 infection versus testing negative and (iii) testing negative for SARS-CoV-2 infection versus not being tested. We construct four distinct time-periods between March 2020 and March 2021, representing distinct periods of testing pressures and lockdown restrictions and specify both time-stratified and combined models for each outcome. We explore potential selection bias by examining associations with positive and negative control exposures. Results The association between more disadvantaged SEP and receiving a SARS-CoV-2 test attenuated over time. Compared to individuals with a degree, individuals whose highest educational qualification was a GCSE or equivalent had an OR of 1·27 (95% CI: 1·18 to 1·37) in March-May 2020 and 1·13 (95% CI: 1.·10 to 1·16) in January-March 2021. The magnitude of the association between educational attainment and testing positive for SARS-CoV-2 infection increased over the same period. For the equivalent comparison, the OR for testing positive increased from 1·25 (95% CI: 1·04 to 1·47), to 1·69 (95% CI: 1·55 to 1·83). We found little evidence of an association between control exposures, and any considered outcome. Conclusions The association between SEP and SARS-CoV-2 testing changed over time, highlighting the potential of time-specific selection pressures to bias analyses of COVID-19. Positive and negative control analyses suggest that changes in the association between SEP and SARS-CoV-2 infection over time likely reflect true increases in socioeconomic inequalities.
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spelling doaj.art-bebc88621a264ddb8f00bf0f3c4057aa2023-11-26T14:27:29ZengBMCBMC Public Health1471-24582023-09-0123111210.1186/s12889-023-16767-5Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?Alice R Carter0Gemma L Clayton1M Carolina Borges2Laura D Howe3Rachael A Hughes4George Davey Smith5Deborah A Lawlor6Kate Tilling7Gareth J Griffith8MRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolMRC Integrative Epidemiology Unit, University of BristolAbstract Background There are many ways in which selection bias might impact COVID-19 research. Here we focus on selection for receiving a polymerase-chain-reaction (PCR) SARS-CoV-2 test and how known changes to selection pressures over time may bias research into COVID-19 infection. Methods Using UK Biobank (N = 420,231; 55% female; mean age = 66.8 [SD = 8·11]) we estimate the association between socio-economic position (SEP) and (i) being tested for SARS-CoV-2 infection versus not being tested (ii) testing positive for SARS-CoV-2 infection versus testing negative and (iii) testing negative for SARS-CoV-2 infection versus not being tested. We construct four distinct time-periods between March 2020 and March 2021, representing distinct periods of testing pressures and lockdown restrictions and specify both time-stratified and combined models for each outcome. We explore potential selection bias by examining associations with positive and negative control exposures. Results The association between more disadvantaged SEP and receiving a SARS-CoV-2 test attenuated over time. Compared to individuals with a degree, individuals whose highest educational qualification was a GCSE or equivalent had an OR of 1·27 (95% CI: 1·18 to 1·37) in March-May 2020 and 1·13 (95% CI: 1.·10 to 1·16) in January-March 2021. The magnitude of the association between educational attainment and testing positive for SARS-CoV-2 infection increased over the same period. For the equivalent comparison, the OR for testing positive increased from 1·25 (95% CI: 1·04 to 1·47), to 1·69 (95% CI: 1·55 to 1·83). We found little evidence of an association between control exposures, and any considered outcome. Conclusions The association between SEP and SARS-CoV-2 testing changed over time, highlighting the potential of time-specific selection pressures to bias analyses of COVID-19. Positive and negative control analyses suggest that changes in the association between SEP and SARS-CoV-2 infection over time likely reflect true increases in socioeconomic inequalities.https://doi.org/10.1186/s12889-023-16767-5Health inequalitiesSelection biasCOVID-19Socioeconomic positionLinkage studies
spellingShingle Alice R Carter
Gemma L Clayton
M Carolina Borges
Laura D Howe
Rachael A Hughes
George Davey Smith
Deborah A Lawlor
Kate Tilling
Gareth J Griffith
Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
BMC Public Health
Health inequalities
Selection bias
COVID-19
Socioeconomic position
Linkage studies
title Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
title_full Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
title_fullStr Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
title_full_unstemmed Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
title_short Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias?
title_sort time sensitive testing pressures and covid 19 outcomes are socioeconomic inequalities over the first year of the pandemic explained by selection bias
topic Health inequalities
Selection bias
COVID-19
Socioeconomic position
Linkage studies
url https://doi.org/10.1186/s12889-023-16767-5
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