Long-Term Physical And Mental Health Impact Of COVID-19 On Adults In England: Follow Up Of A Large Random Community Sample

BackgroundThe COVID-19 pandemic is having a lasting impact on health and well-being. We compare current self-reported health, quality of life and symptom profiles for people with ongoing symptoms following COVID-19 to those who have never had COVID-19 or have recovered. MethodsA cohort study was established with participants from the REACT programme. A sample (N=800,000) of adults were contacted between August and December 2022 to complete a questionnaire about their current health and COVID-19 history. We used logistic regression to identify predictors of persistent symptoms lasting [≥]12 weeks following COVID-19. We fitted Accelerated Failure Time models to assess factors associated with rate of recovery from persistent symptoms. FindingsOverall, 276,840/800,000 (34.6%) of invited participants completed the questionnaire. Median duration of COVID-related symptoms (N=130,251) was 1.3 weeks (inter-quartile range 6 days to 2 weeks), with 7.5% and 5.2% reporting ongoing symptoms [≥]12 weeks and [≥]52 weeks respectively. Female sex, having [≥]1 comorbidity, more severe symptoms at time of COVID-19 and being infected when Wild-type variant was dominant were associated with higher probability of symptoms lasting [≥]12 weeks. Longer time to recovery in those with persistent symptoms was found for females, people with comorbidities, living in more deprived areas, current smokers and for Wild-type compared to later variants. Mental health and health-related quality of life were significantly worse among participants with ongoing persistent COVID-19 symptoms compared with those who had never had COVID-19 or had recovered. InterpretationAlthough COVID-19 is usually of short duration, some adults experience persistent and burdensome illness. FundingThis work is independent research funded by the National Institute for Health and Care Research (NIHR) (REACT Long COVID (REACT-LC) (COV-LT-0040)). This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (UKRI) (MC_PC_20029). The views expressed in this publication are those of the author(s) and not necessarily those of NIHR or UKRI.