{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bowyer RCE"],"funding":["Economic and Social Research Council","Wellcome Longitudinal Population Study","Scottish Funding Council","British Heart Foundation","MRC Integrative Epidemiology Unit","National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Yorkshire and Humber","Health Foundation","CRUK Integrative Cancer Epidemiology Programme","UK Research and Innovation","Zoe Global Ltd","Medical Research Council","Longitudinal Studies Resource Centre","National Institute for Health Research (NIHR)","Chief Scientist Office","Wellcome Trust","The Health Foundation","Chronic Disease Research Foundation"],"pagination":["199-210"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9860244"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["38(2)"],"pubmed_abstract":["Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct sy"],"journal":["European journal of epidemiology"],"pubmed_title":["Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies."],"pmcid":["PMC9860244"],"funding_grant_id":["NIHR200166","WT101597MA","ES/K005146/1","ES/M001660/1","2301201","HDR-9002","MR/P023444/1","COV-LT-0009","217065/Z/19/Z","ES/W013142/1","CZD/16/6]","221574/Z/20/Z","202802/Z/16/Z","C18281/A29019","MC_UU_00019/2","MC_PC_15018","ES/V012789/1","MC_UU_00011/3","ES/V011650/1","G9815508","HR03006","WT212904/Z/18/Z","MC_UU_00011/1","216767/Z/19/Z","MC_PC_20059","2076161","104036/Z/14/Z","MC_PC_20051","MC_PC_20059-6","MC_PC_20030","MR/W021315/1","CS/16/4/32482","MR/N024397/1"],"pubmed_authors":["Thompson EJ","Williams DM","Shaw RJ","Steves CJ","Kwong ASF","Huggins C","Tilling K","Chaturvedi N","Timpson NJ","Sterne JAC","Silverwood RJ","Toms R","Ploubidis GB","Bowyer RCE","Hou B","Kibble M","CONVALESCENCE Study"],"additional_accession":[]},"is_claimable":false,"name":"Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.","description":"Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct sy","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2026-03-17T15:25:03.76Z","creation":"2025-04-05T20:52:23.255Z"},"accession":"S-EPMC9860244","cross_references":{"pubmed":["36680646"],"doi":["10.1007/s10654-022-00962-6"]}}