Device-assessed sleep and physical activity in individuals recovering from a hospital admission for COVID-19: a prospective, multicentre study
Plekhanova, T.; Rowlands, A. V.; Evans, R. A.; Edwardson, C. L.; Bishop, N. C.; Bolton, C. E.; Chalmers, J. D.; Davies, M. J.; Daynes, E.; Docherty, A. B.; Elneima, O.; Greening, N. J.; Greenwood, S. A.; Hall, A. P.; Harris, V. C.; Harrison, E. M.; Henson, J.; Ho, L.-P.; Horsley, A.; Houchen-Wolloff, L.; Khunti, K.; Leavy, O. C.; Lone, N. I.; Marks, M.; Maylor, B.; McAuley, H. J. C.; Nolan, C. M.; Poinasamy, K.; Quint, J. K.; Raman, B.; Richardson, M.; Sargeant, J. A.; Saunders, R. M.; Sereno, M.; Shikotra, A.; Singapuri, A.; Steiner, M.; Stensel, D. J.; Wain, L. V.; Whitney, J.; Wootton, D. G
Show abstract
ObjectivesTo describe physical behaviours following hospital admission for COVID-19 including associations with acute illness severity and ongoing symptoms. Methods1077 patients with COVID-19 discharged from hospital between March and November 2020 were recruited. Using a 14-day wear protocol, wrist-worn accelerometers were sent to participants after a five-month follow-up assessment. Acute illness severity was assessed by the WHO clinical progression scale, and the severity of ongoing symptoms was assessed using four previously reported data-driven clinical recovery clusters. Two existing control populations of office workers and type 2 diabetes were comparators. ResultsValid accelerometer data from 253 women and 462 men were included. Women engaged in a mean{+/-}SD of 14.9{+/-}14.7 minutes/day of moderate-to-vigorous physical activity (MVPA), with 725.6{+/-}104.9 minutes/day spent inactive and 7.22{+/-}1.08 hours/day asleep. The values for men were 21.0{+/-}22.3 and 755.5{+/-}102.8 minutes/day and 6.94{+/-}1.14 hours/day, respectively. Over 60% of women and men did not have any days containing a 30-minute bout of MVPA. Variability in sleep timing was approximately 2 hours in men and women. More severe acute illness was associated with lower total activity and MVPA in recovery. The very severe recovery cluster was associated with fewer days/week containing continuous bouts of MVPA, longer sleep duration, and higher variability in sleep timing. Patients post-hospitalisation with COVID-19 had lower levels of physical activity, greater sleep variability, and lower sleep efficiency than a similarly aged cohort of office workers or those with type 2 diabetes. ConclusionsPhysical activity and regulating sleep patterns are potential treatable traits for COVID-19 recovery programmes.
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bidirectional relationship between sleep problems and long COVID: a longitudinal analysis of data from the COVIDENCE UK study 96%
- Post-COVID assessment in a specialist clinical service: a 12-month, single-centre analysis of symptoms and healthcare needs in 1325 individuals 91%
- Psychometric analysis of the modified Covid-19 Yorkshire Rehabilitation Scale (C19-YRSm) in a prospective multicentre study 88%
Similar papers in this journal
- Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact 90%
- An Interpretable Machine Learning Tool for In-Home Screening of Agitation Episodes in People Living with Dementia 90%
- Rehabilitation needs and mortality associated with the Covid-19 pandemic: a population-based study of all hospitalised and home-healthcare individuals in a Swedish healthcare region 89%
Similar papers in this journal
- Sleep Regularity Index as a Novel Indicator of Sleep Disturbance in Stroke Survivors: A Secondary Data Analysis 93%
- Satisfaction with Life in relation to Sleep Health among a Nationally Representative Sample of U.S. Adults 92%
- Shorter self-reported sleep duration in men is associated with worse virtual spatial navigation performance 92%
Similar papers in this journal
- Post-acute symptoms, new onset diagnoses and health problems 6 to 12 months after SARS-CoV-2 infection: a nationwide questionnaire study in the adult Danish population 92%
- Risk factors for long COVID: analyses of 10 longitudinal studies and electronic health records in the UK 91%
- Genome-wide association analysis of excessive daytime sleepiness identifies 42 loci that suggest phenotypic subgroups 91%
Similar papers in this journal
- Association of working shifts, inside and outside of healthcare, with risk of severe COVID-19: An observational study 93%
- Dose-response associations of device measured sleep regularity and duration with incident dementia in 82391 UK adults 92%
- Associations of socioeconomic position and adverse childhood experiences with health-related behaviour changes and changes to employment during the first COVID-19 lockdown in the UK 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.