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Nat Sci Sleep ; 13: 2053-2064, 2021.
Article in English | MEDLINE | ID: covidwho-1523558

ABSTRACT

The uncertain, ever-changing and an ongoing nature of the COVID-19 pandemic means that it may take some time before we can fully appreciate the negative effect of the pandemic and lockdown on our sleep and mental health. It is increasingly recognised that in the aftermath of pandemic, several persistent sleep, neuropsychiatric and physical sequelae may continue long after the pandemic is over. A body of evidence to date also highlights a significant disparity in sleep and mental health difficulties in specific vulnerable groups in the community, with different temporal profiles and sleep issues that are reported. In this perspective, we argue for a possible mechanistic impact of the COVID-19 pandemic, with its imposed restrictions and social isolation on sleep quality. We similarly discuss some of the potential international differences, as well as similarities, behind reported idiosyncratic biological vulnerabilities that may have contributed to the genesis of sleep issues. Lastly, we propose some possible implementations and innovations that may be needed in restructuring of sleep disorders services in order to benefit recovering COVID-19 patients.

2.
BMJ Open Respiratory Research ; 8(Suppl 1):A5-A6, 2021.
Article in English | ProQuest Central | ID: covidwho-1504399

ABSTRACT

IntroductionWe aim to quantify adherence of positive airway pressure (PAP) initiated during the COVID-19 pandemic and compare the effects of remote versus face-to-face (FTF) education in patients with obstructive sleep apnoea (OSA).MethodsProspective cohort study in a tertiary National Health Service (NHS) hospital sleep disorders centre in London, United Kingdom, involving 141 patients aged >18 years with newly diagnosed OSA initiating PAP during the first national coronavirus (COVID-19) lockdown in 2020. We compare 70 patients educated on PAP remotely to 71 patients receiving standard FTF education. We measured adherence over a continuous 30-day period within the first three months of PAP usage, including average nightly usage, usage per nights used, percentage of nights used, and percentage of nights used for >4 hours.ResultsOf 141 patients, there was a two-thirds male predominance, and half of the patients (56%) above 45 years of age and sleepy at baseline (Epworth Sleepiness Score >10, 48.9%). 114 patients (81%) were diagnosed with moderate or severe OSA. 54 patients (38.3%) achieved good adherence (≥70% of nights with ≥4 hours usage), with an average of 4.7 hours of PAP usage per night used. Patients receiving FTF PAP education had a comparable level of good adherence (38.03% versus 38.57%, p=0.915), and hours per nights used (4.76 versus 4.61 h/night, p=0.711) to remotely educated patients. More severe OSA, lower mask leak, and a nasal mask were associated with achieving good PAP adherence.DiscussionPAP adherence of newly diagnosed individuals with OSA during the COVID-19 pandemic was modest at 38.30%, and not significantly affected by remote PAP education delivery, but rather the effects of the COVID-19 pandemic.

3.
J Sleep Res ; 30(5): e13326, 2021 10.
Article in English | MEDLINE | ID: covidwho-1122181

ABSTRACT

Despite the strong evidence on circadian rhythm disruption in shift workers and consequent increased vulnerability for infection, longitudinal association between shift work and COVID-19 infection is unexplored. In this study, data from UK Biobank participants who were tested for COVID-19 infection (16 March to 7 September 2020) were used to explore the link between shift work and COVID-19 infection. Using the baseline occupational information, participants were categorised as non-shift workers, day shift workers, mixed shift workers and night shift workers. Multivariable regression models were used to assess the association between shift work and COVID-19 infection. Among the 18,221 participants (9.4% positive cases), 11.2% were health workers, and 16.4% were involved in shift-work-based jobs. Ethnic minorities (18%) and people in night-shift-based jobs (18.1%) had a significantly higher prevalence of COVID-19 infection than others. Adjusted logistics regression model suggest that, compared with their counterparts, people employed in a night-shift-based job were 1.85-fold (95% CI: 1.42-2.41) more likely to have COVID-19 infection. Sensitivity analysis focusing on people working in a non-healthcare setting suggests that people in shift-work-based jobs had 1.81-fold (95% CI: 1.04%-3.18%) higher odds of COVID-19 infection than their counterparts. Shift workers, particularly night shift workers, irrespective of their occupational group, seem to be at high risk of COVID-19 infection. If similar results are obtained from other studies, then it would mandate to revisit the criteria for defining high-risk groups for COVID-19 and implementing appropriate interventions to protect people in shift-based jobs.


Subject(s)
COVID-19 , Shift Work Schedule , Biological Specimen Banks , COVID-19/epidemiology , Cohort Studies , Female , Humans , Male , Middle Aged , Risk Assessment , Shift Work Schedule/adverse effects , United Kingdom/epidemiology
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