BibTex format
@article{Menkir:2024:10.1101/2024.02.21.24303099,
author = {Menkir, TF and Citarella, BW and Sigfrid, L and Doshi, Y and Reyes, LF and Calvache, JA and Kildal, AB and Nygaard, AB and Holter, JC and Panda, PK and Jassat, W and Merson, L and Donnelly, CA and Santillana, M and Buckee, C and Verguet, S and Hejazi, NS and ISARIC, Clinical Characterisation Group},
doi = {10.1101/2024.02.21.24303099},
journal = {medRxiv},
title = {Modeling the relative influence of socio-demographic variables on post-acute COVID-19 quality of life.},
url = {http://dx.doi.org/10.1101/2024.02.21.24303099},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - IMPORTANCE: Post-acute sequelae of SARS-CoV-2, referred to as "long COVID", are a globally pervasive threat. While their many clinical determinants are commonly considered, their plausible social correlates are often overlooked. OBJECTIVE: To compare social and clinical predictors of differences in quality of life (QoL) with long COVID. Additionally, to measure how much adjusted associations between social factors and long COVID-associated quality of life are unexplained by important clinical intermediates. DESIGN SETTING AND PARTICIPANTS: Data from the ISARIC long COVID multi-country prospective cohort study. Subjects from Norway, the United Kingdom (UK), and Russia, aged 16 and above, with confirmed acute SARS-CoV-2 infection reporting >= 1 long COVID-associated symptoms 1+ month following infection. EXPOSURE: The social exposures considered were educational attainment (Norway), employment status (UK and Russia), and female vs male sex (all countries). MAIN OUTCOME AND MEASURES: Quality of life-adjusted days, or QALDs, with long COVID. RESULTS: This cohort study included a total of 3891 participants. In all three countries, educational attainment, employment status, and female sex were important predictors of long COVID QALDs. Furthermore, a majority of the estimated relationships between each of these social correlates and long COVID QALDs could not be attributed to key long COVID-predicting comorbidities. In Norway, 90% (95% CI: 77%, 100%) of the adjusted association between the top two quintiles of educational attainment and long COVID QALDs was not explained by clinical intermediates. The same was true for 86% (73%, 100%) and 93% (80%,100%) of the adjusted associations between full-time employment and long COVID QALDs in the United Kingdom (UK) and Russia. Additionally, 77% (46%,100%) and 73% (52%, 94%) of the adjusted associations between female sex and long COVID QALDs in Norway and the UK were unexplained by the clinical mediators. CONCLUSIONS
AU - Menkir,TF
AU - Citarella,BW
AU - Sigfrid,L
AU - Doshi,Y
AU - Reyes,LF
AU - Calvache,JA
AU - Kildal,AB
AU - Nygaard,AB
AU - Holter,JC
AU - Panda,PK
AU - Jassat,W
AU - Merson,L
AU - Donnelly,CA
AU - Santillana,M
AU - Buckee,C
AU - Verguet,S
AU - Hejazi,NS
AU - ISARIC,Clinical Characterisation Group
DO - 10.1101/2024.02.21.24303099
PY - 2024///
TI - Modeling the relative influence of socio-demographic variables on post-acute COVID-19 quality of life.
T2 - medRxiv
UR - http://dx.doi.org/10.1101/2024.02.21.24303099
UR - https://www.ncbi.nlm.nih.gov/pubmed/39040190
ER -