Impact of the COVID-19 Pandemic on Sleep, Drowsiness, and Stress in Dental Students: A Longitudinal Study (preprint)

: The objetive of this study was to evaluated the quality of sleep, degree of drowsiness, and stress index of dentistry students during the COVID-19 pandemic. Methods: This study was conducted among dentistry students from two universities, obtaining data at baseline and 10 months after the pandemic. The Pittsburgh questionnaire, Epworth sleepiness scale, and Cohen perceived stress scale were used to assess sleep quality, sleepiness index, and stress level, respectively. Statistical analyses were performed using Generalized Estimating Equations, with binary, ordinal, and linear logistic regression. Results: Baseline sleep quality had a positive influence on sleep quality compared with the assessment after 10 months. Drowsiness is influenced by factors, such as the time of assessment, income of up to one salary, and physical activity. There was greater drowsiness 10 months after the pandemic. High stress levels were observed during both assessments. Female sex, deteriorated family relationships, and lack of physical activity increase the risk of stress. Conclusion: The quality of sleep was positively affected during the pandemic period, remaining high, and drowsiness increased.

Association between hypersomnolence and the COVID-19 pandemic: The International COVID-19 Sleep Study (ICOSS).

BACKGROUND: The COVID-19 pandemic and related restriction measures have affected our daily life, sleep, and circadian rhythms worldwide. Their effects on hypersomnolence and fatigue remain unclear. METHODS: The International COVID-19 Sleep Study questionnaire which included items on hypersomnolence such as excessive daytime sleepiness (EDS), and excessive quantity of sleep (EQS), as well as sociodemographic factors, sleep patterns, psychological symptoms, and quality of life was distributed in 15 countries across the world from May to September in 2020. RESULTS: Altogether responses from 18,785 survey participants (65% women, median age 39 years) were available for analysis. Only 2.8% reported having had COVID-19. Compared to before the pandemic, the prevalence of EDS, EQS, and fatigue increased from 17.9% to 25.5%, 1.6%-4.9%, and 19.4%-28.3% amid the pandemic, respectively. In univariate logistic regression models, reports of having a COVID-19 were associated with EQS (OR 5.3; 95%-CI 3.6-8.0), EDS (2.6; 2.0-3.4), and fatigue (2.8; 2.1-3.6). In adjusted multivariate logistic regression, sleep duration shorter than desired (3.9; 3.2-4.7), depressive symptoms (3.1; 2.7-3.5), use of hypnotics (2.3; 1.9-2.8), and having reported COVID-19 (1.9; 1.3-2.6) remained strong predictors of EDS. Similar associations emerged for fatigue. In the multivariate model, depressive symptoms (4.1; 3.6-4.6) and reports of having COVID-19 (2.0; 1.4-2.8) remained associated with EQS. CONCLUSIONS: A large increase in EDS, EQS, and fatigue occurred due to the COVID-19 pandemic, and especially in self-reported cases of COVID-19. These findings warrant a thorough understanding of their pathophysiology to target prevention and treatment strategies for long COVID condition.

Sleep disorders and COVID-19.

This chapter summarizes the known associations between COVID-19 and sleep dysfunction, including insomnia, excessive daytime sleepiness, restless legs syndrome and nightmares, and touches upon pandemic-related considerations for obstructive sleep apnea and continuous positive airway pressure treatment. Treatment strategies and management approaches are also briefly discussed.

Sleepiness and safety at work among night shift NHS nurses.

BACKGROUND: Sleepiness associated with night shift working (NSW) is known to adversely affect workers' health and well-being. It has been associated with adverse safety outcomes and is a recognized workplace hazard among healthcare workers. AIMS: This study was aimed to assess the prevalence of self-reported sleepiness in NSW nurses and midwives. This study also explored the consequences of sleepiness on safety at work and driving. METHODS: A cross-sectional study of NSW nurses and midwives was conducted at an National Health Service (NHS) hospital trust from 16 March 2020 to 1 June 2020. Data were collected by online questionnaire and included information on demographics, shift work and safety aspects. Sleepiness was assessed with the Epworth Sleepiness Scale (ESS). RESULTS: Data collection coincided with the first coronavirus pandemic peak in England. Out of 1985 eligible NSW nurses and midwives, 229 participated in the study, with a response rate of 12%. The prevalence of sleepiness was 28%. Following a night shift, 49% of nurses reported nodding off at the wheel and 44% reported a near-miss car accident in past 12 months. An abnormal ESS score was significantly associated with near-miss car accidents (odds ratio [OR] 2.75, 95% confidence interval [CI] 1.31-5.77) and with low confidence in undertaking complex tasks at night (OR 2.64, 95% CI 1.20-5.84). CONCLUSIONS: More than a quarter of NSW nurses and midwives reported excessive daytime sleepiness although, due to the low response rate, this may not be representative. Adverse driving events were common. Elevated ESS scores correlated well with safety issues relating to work and driving.

Sleep Patterns during the COVID-19 Lockdown in Spain.

BACKGROUND: To mitigate the spread of the coronavirus disease (COVID-19) pandemic, governments around the world adopted exceptional lockdown measures. This led to the disruption of normal life routines, including sleep. The aim of this study was to analyze differences in sleep patterns and subjective variables of sleep quality before and during lockdown. METHODS: A sample of 1673 Spanish adults (30% men; 82% of the total were between 21 and 50 years of age) was evaluated. The following sleep variables were evaluated: Sleep latency, sleep time, number and duration of awakenings, sleep satisfaction, daytime sleepiness, and the manifestation of symptoms related to sleep problems. RESULTS: Although 45% of people changed their sleep schedules (resulting in 42% sleeping longer during lockdown), sleep quality (37.6% worse), daytime sleepiness (28% worse), number of awakenings (36.9% more), and duration of awakenings (45% longer) were markedly worse. Statistical analyses indicated significant differences in all the evaluated sleep variables before and during lockdown in both men and women. Women reported less sleep satisfaction, and more symptoms related to sleep problems than men. CONCLUSIONS: A deterioration in the sleep patterns of the Spanish population, especially women, because of the lockdown declared due to the COVID-19 pandemic.

The impact of the COVID-19 pandemic on sleep disorders among Nursing professionals.

OBJECTIVE: to analyze the factors related to sleep disorders reported by Nursing professionals during the COVID-19 pandemic. METHOD: this is a cross-sectional and analytical study conducted with Nursing professionals from all Brazilian regions. Sociodemographic data, working conditions and questions about sleep disorders were collected. The Poisson regression model with repeated measures was used to estimate the Relative Risk. RESULTS: 572 answers were analyzed, which revealed that non-ideal sleep duration, poor sleep quality and dreams about the work environment were predominant during the pandemic, with 75.2%, 67.1% and 66.8% respectively; as well as complaints of difficulty sleeping, daytime sleepiness and non-restorative sleep during the pandemic were reported by 523 (91.4%), 440 (76.9%) and 419 (73.2%) of the Nursing professionals, respectively. The relative risk of having such sleep disorders during the pandemic was significant for all variables and categories studied. CONCLUSION: non-ideal sleep duration, poor sleep quality, dreams about the work environment, complaints regarding difficulty sleeping, daytime sleepiness and non-restorative sleep were the predominant sleep disorders among Nursing professionals during the pandemic. Such findings point to possible consequences on health, as well as on the quality of the work performed.

Prevalence and Characterization of Long Covid-19 Symptoms in Health Care Professionals- A Need of the Hour (preprint)

Background: With the global advent of Covid-19, Healthcare workers (HCW) were under a lot of physical and psychological pressure. Information on persistent symptoms post Covid-19 Infection in HCWs is lacking.  Objectives: This Study is aimed at assessing the impact of the post Covid-19 syndrome in HCWs.  Materials and Methods: A Questionnaire was prepared as google form and shared with the HCWs through WhatsApp enquiring regarding the health conditions that are still persistent post recovery from Covid-19 infection.  Results: A total of 328 Health Care Professionals participated in the present survey (18-65 yrs). The gender distribution revealed 67.7% were females and 32.3% were males. 60.3% of the participants were infected with COVID-19 before taking the first dose of vaccination which is reduced to 17.5% after vaccination. The post COVID complications observed from the study were hair loss (35.4%), easy fatigability (25%), mood swings (22.9%), anxiety (18.8%), insomnia/sleeplessness (13.9%), depression (12.5%) and joint pains/arthritis (11.8%). The other complications observed were loss of taste (9%), lightheadedness/postural hypotension (8.3%), amnesia/loss of memory and anosmia/loss of smell (7.6%), gastritis (6.3%), palpitations, hypersomnia and pulmonary complications (5.6%) and chest pain (4.9%). Unpaired t-test and One-Way ANNOVA resulted in a significant value (p values of >0.05).  Discussion: Despite the fact that females experienced more post-Covid-19 symptoms (15 out of 17), males experienced more chest pain and anxiety symptoms. According to our findings, 57 of 100 Covid-19 health care workers have post-Covid complications. The participants presented with non-specific symptoms such as easy fatigability, mood swings, light headedness, anxiety but most of the participants quoted more specific symptoms such as depression, pulmonary complications, hair loss, joint pains, gastritis, chest pain, palpitations, loss of taste, amnesia, hyperglycemia, insomnia, hypersomnia and anosmia. However, non-specific symptoms such as fatigue, mood swings, lightheadedness, and anxiety were also mentioned. The symptoms of post-acute COVID-19 syndrome vary greatly. Early detection requires a unified definition of long COVID and characterization of its manifestation. Furthermore, more research should be conducted to identify risk factors and the precise mechanisms that lead to the development of long COVID syndrome. Such knowledge may aid future research aimed at preventing such a complication.

Reduction in fall risk markers following CPAP treatment of obstructive sleep apnoea in people over 65 years.

OBJECTIVES: Falls in older people can lead to serious injury and significant societal health and financial burden. Obstructive sleep apnoea (OSA) is associated with impaired gait/balance and may increase fall risk, yet few studies examined whether treating OSA reduces fall risk. This study examined the effect of continuous positive airway pressure (CPAP) on fall risk markers in people over 65yrs diagnosed with OSA. DESIGN: Single arm intervention study. SETTING: University and tertiary care CPAP clinic. PARTICIPANTS: Individuals over 65 years diagnosed with OSA and recommended CPAP. INTERVENTION: 3-6 months CPAP therapy. MEASUREMENTS: 28 participants had a physiological profile assessment (PPA) at baseline and following 3-6 months of CPAP. The PPA examines visual contrast sensitivity, lower limb proprioception, knee extension strength, reaction time and postural sway to generate a fall risk score (FRS). t-tests were used to determine difference between pre- and post-treatment FRS. Regression was used to examine the associations between CPAP use and daytime sleepiness with FRS. RESULTS: CPAP significantly reduced the FRS ([Mean ± SD] 0.59 ± 1.0 vs 0.04 ± 1.1, p = 0.016), contrast sensitivity and lower limb proprioception (P < 0.05). Increased CPAP use was associated with improvement in FRS in unadjusted analysis (ß = -0.213, 95%CI -0.371 to -0.056, p = 0.01). Reduction in Epworth sleepiness score was associated with a reduction in FRS in unadjusted (p = 0.023) and adjusted analysis (adjusted for AHI p = 0.027 or O2Nadir p = 0.015). CONCLUSIONS: CPAP may reduce fall risk in people over 65yrs, possibly related to better CPAP adherence and reduced daytime sleepiness. Future controlled trials and mechanistic studies are needed to elucidate how CPAP may reduce fall risk.

Increase in the Number and Duration of Sleep Episodes During Class After Reopening of Schools Following Closure due to COVID-19.

Sleep is important for the well-being of school-aged children. Almost all schools in Hyogo prefecture in Japan were closed from April 7 to May 31, 2020, owing to the coronavirus disease 2019 pandemic. The pandemic restrictions resulted in the disruption of the sleep routines of children. The number of children who experienced sleepiness in class after school closure increased. The number of children who visited our hospital 1 year before and after the closure was 208 (11.73 ± 3.24 years of age) and 155 (11.45 ± 3.30 years), respectively. The number of chief complaints of sleep-related symptoms at the first visits showed no significant difference between the two time periods. The percentage of patients who slept during class increased (but not significantly) after the school closure. However, the mean number and duration of sleep episodes during class significantly increased from 0.31 ± 0.76 to 1.04 ± 1.14 episodes/day and from 15.8 ± 38.6 to 45.7 ± 46.9 min/day (each P < 0.001) before and after school closure, respectively. The total number of patients in our hospital with the primary central disorders of hypersomnolence, i.e., narcolepsy, idiopathic hypersomnia, and Kleine-Levin syndrome, and the number of patients with insufficient sleep syndrome after the school closure significantly increased compared with those before closure (P = 0.034 and 0.048, respectively). School closure was associated with an increased incidence of sleeping during class; therefore, maintaining a stable daily routine for children with sleep disorders could have an alleviating effect.

Central hypersomnia and chronic insomnia: expanding the spectrum of sleep disorders in long COVID syndrome - a prospective cohort study.

INTRODUCTION: Long-onset COVID syndrome has been described in patients with COVID-19 infection with persistence of symptoms or development of sequelae beyond 4 weeks after the onset of acute symptoms, a medium- and long-term consequence of COVID-19. This syndrome can affect up to 32% of affected individuals, with symptoms of fatigue, dyspnea, chest pain, cognitive disorders, insomnia, and psychiatric disorders. The present study aimed to characterize and evaluate the prevalence of sleep symptoms in patients with long COVID syndrome. METHODOLOGY: A total of 207 patients with post-COVID symptoms were evaluated through clinical evaluation with a neurologist and specific exams in the subgroup complaining of excessive sleepiness. RESULTS: Among 189 patients included in the long COVID sample, 48 (25.3%) had sleep-related symptoms. Insomnia was reported by 42 patients (22.2%), and excessive sleepiness (ES) was reported by 6 patients (3.17%). Four patients with ES were evaluated with polysomnography and test, multiple sleep latencies test, and actigraphic data. Two patients had a diagnosis of central hypersomnia, and one had narcolepsy. A history of steroid use was related to sleep complaints (insomnia and excessive sleepiness), whereas depression was related to excessive sleepiness. We observed a high prevalence of cognitive complaints in these patients. CONCLUSION: Complaints related to sleep, such as insomnia and excessive sleepiness, seem to be part of the clinical post-acute syndrome (long COVID syndrome), composing part of its clinical spectrum, relating to some clinical data.

Functional and microstructural brain abnormalities, fatigue, and cognitive dysfunction after mild COVID-19 (preprint)

Background: Little is known about the underpinning mechanisms of neurological dysfunction in post-COVID syndrome. Methods: We conducted a cross-sectional study of 87 consecutive subjects after a mild infection, with a median of 54 days after diagnosis of COVID-19. We performed structured interviews, neurological examinations, 3T-MRI scans, and neuropsychological assessments. The MRI study included white matter investigation with diffusion tensor images (DTI) and functional connectivity with resting-state functional MRI (RS-fMRI). Results: Subjects self-reported headaches (40%) and memory difficulties (33%). The quantitative analyses confirmed symptoms of fatigue (68% of participants), excessive somnolence (35%), symptoms of anxiety (29%), impaired cognitive flexibility (40%), and language dysfunction (33%). Besides, we observed a correlation between DTI fractional anisotropy (FA) and abnormal attention and cognitive flexibility in the Trail Making Test part B. Elevated levels of fatigue and somnolence associated with higher connectivity of the posterior cingulate cortex (PCC) in the RS-fMRI study of the default mode network. While higher connectivity of the PCC with bilateral angular gyri was associated with higher fatigue levels, the elevated levels of somnolence correlated with higher connectivity between the PCC and both the left thalamus and putamen. Conclusions: COVID-19 is associated with long-term neuropsychiatric symptoms and cerebral functional and microstructural alterations.

Factors Affecting Fatigue among Nurses during the COVID-19 Pandemic.

This study identified clinical nurses' fatigue and related factors during the COVID-19 pandemic. This was a cross-sectional study. Data were collected from South Korean hospitals on 234 nurses' general characteristics, fatigue, depression, occupational stress, insomnia, and perceived daytime sleepiness using a structured questionnaire. The prevalence of fatigue was 62.0%, depression 52.1%, insomnia 20.7%, and daytime sleepiness 36.1%. Insomnia, sleepiness, depression, and occupational stress were significantly associated with fatigue. Ward nurses who cared for COVID-19 patients within the past month had significantly higher occupational stress related to organizational climate than those who had not provided care, and ICU nurses who cared for COVID-19 patients had significantly higher job insecurity-related occupational stress. Nurses have a high prevalence of fatigue and depression during the pandemic. Thus, insomnia, sleepiness, depression, and occupational stress must be reduced to lower nurses' fatigue. Caring for COVID-19 patients was not significantly associated with fatigue, but there were significant differences in occupational stress between nurses who provided such care and those who did not. Work environment-specific strategies are needed to reduce nurses' occupational stress during the pandemic.

Adolescent mobile phone addiction during the COVID-19 pandemic predicts subsequent suicide risk: a two-wave longitudinal study.

Both the rate of mobile phone addiction and suicidality among adolescents have increased during the pandemic lockdown. However, the relationship between mobile phone addiction and suicide risk and the underlying psychological mechanisms remains unknown. This study examined the associations between mobile phone addiction in adolescents during the first month of lockdown and the suicide risk in the subsequent five months. A two-wave short-term longitudinal web-based survey was conducted on 1609 senior high school students (mean age = 16.53 years, SD = 0.97 years; 63.5% female). At Time 1 (T1), the severity of mobile phone addiction and basic demographic information was collected from Feb 24 to 28, 2020 in Sichuan Province, China (at the pandemic's peak). Five months later, between July 11 and July 23 (Time 2, T2), mobile phone addiction, daytime sleepiness, depression, and suicidality were measured within the past five months. The regression analysis revealed that mobile phone addiction during quarantine directly predicted suicidality within the next five months, even after controlling for the effect of depression and daytime sleepiness. Meanwhile, mobile phone addiction at T1 also indirectly predicted suicidality at T2, with depression and daytime sleepiness mediating this association. Programs targeting improvement of daytime sleepiness and depressive symptoms may be particularly effective in reducing suicide risk among adolescents with mobile phone addiction.

Changes in Sleep Pattern During the COVID-19 Lockdown in Patients With Narcolepsy, Idiopathic Hypersomnia, and Restless Legs Syndrome.

BACKGROUND AND OBJECTIVES: To explore the first coronavirus disease 2019 (COVID-19) lockdown effect on sleep symptoms in patients with narcolepsy, idiopathic hypersomnia (IH), and restless legs syndrome (RLS). METHODS: Between March and May 2020, a sample of adult patients regularly followed up in a Reference Hospital Sleep Unit (299 with narcolepsy, 260 with IH, and 254 with RLS) was offered an online survey assessing their sleep-wake habits, daily activities, medication intake, and validated scales: International RLS Study Group questionnaire, Narcolepsy Severity Scale (NSS), IH Severity Scale (IHSS), Epworth Sleepiness Scale (ESS), Insomnia Severity Index, Beck Depression Inventory-II, and European Quality of Life (QoL) scale. The survey was proposed once, and the questions were answered for the prelockdown (recall of the month before the confinement) and the lockdown (time of study) periods. RESULTS: Overall, 331 patients completed the survey (response rate 40.7%): 102 with narcolepsy, 81 with IH, and 148 with RLS. All patients reported later bedtimes, with reduced differences for time in bed (TIB) and total sleep time (TST) over 24 hours between weekdays and weekends. Patients with narcolepsy spent more TIB and increased TST overnight, with more daytime napping. They had more awakenings, higher ESS scores, lower QoL, and no NSS changes. Patients with IH also increased their TIB, TST overnight and 24 hours on weekdays. Nocturnal sleep latency and the number of awakenings increased but with no change in ESS, QoL, and IHSS scores. Patients with RLS reported longer nocturnal sleep latency, more awakenings, more naps, decreased TIB, and TST overnight. RLS severity increased while QoL decreased. A significant portion of patients reported disease worsening during the lockdown (narcolepsy: 39.4%, IH: 43.6%, and RLS: 32.8%), and some patients stopped or lowered their medication (narcolepsy: 22.5%, IH: 28%, and RLS: 9.5%). DISCUSSION: During the lockdown, all patients reported later bedtimes; those with narcolepsy and IH extended their sleep duration unlike patients with RLS. These changes were often associated with negative consequences on QoL. In the current context of recurrent COVID-19 waves, the recent development of teleconsultations should enable physicians to monitor patients with chronic sleep disorders more closely and to recommend optimized sleep schedules and duration, in order to prevent psychological problems and improve their QoL.

Long-term functioning status of COVID-19 survivors: a prospective observational evaluation of a cohort of patients surviving hospitalisation.

OBJECTIVES: The study investigated the long-term functional status of hospitalised COVID-19 survivors to explore and document their functional situation. DESIGN: This prospective observational study assessed 801 COVID-19 survivors at 3-11 months after hospital discharge. It analyses participants' sociodemographic background, COVID-19 clinical manifestations, and clinical and functional evaluations. SETTING: Tertiary-level university hospital in São Paulo, Brazil. PARTICIPANTS: Study participants are COVID-19 survivors admitted to hospital care for at least 24 hours to treat acute SARS-CoV-2 infection. OUTCOME MEASURES: Epworth Sleepiness Scale, EuroQoL-5 Dimensions-5 Levels, Functional Assessment of Chronic Illness Therapy-Fatigue, Functional Independence Measure, Functional Oral Intake Scale, Handgrip Strength, Insomnia Severity Index, Medical Research Council (MRC) Dyspnea Scale, MRC sum score, Modified Borg Dyspnea Scale, pain Visual Analogue Scale, Post-COVID-19 Functional Status, Timed Up and Go, WHO Disability Assessment Schedule 2.0, 1-Minute Sit to Stand Test. RESULTS: Many participants required invasive mechanical ventilation (41.57%, 333 of 801). Mean age was 55.35±14.58 years. With a mean of 6.56 (SD: 1.58; 95% CI: 6.45 to 6.67) months after hospital discharge, 70.86% (567 of 800) reported limited daily activities, which were severe in 5.62% (45 of 800). They also reported pain and discomfort (64.50%, 516 of 800), breathlessness (64.66%, 514 of 795), and anxiety and depression (57.27%, 457 of 798). Daytime sleepiness and insomnia evaluations showed subthreshold results. Most (92.85%, 727 of 783) participants reported unrestricted oral intake. Data indicated no generalised fatigue (mean score: 39.18, SD: 9.77; 95% CI: 38.50 to 39.86). Assessments showed poor handgrip strength (52.20%, 379 of 726) and abnormal Timed Up and Go results (mean 13.07 s, SD: 6.49). The invasive mechanical ventilation group seemed to have a better handgrip strength however. We found no clear trends of change in their functional status during months passed since hospital discharge. CONCLUSIONS: Muscle weakness, pain, anxiety, depression, breathlessness, reduced mobility, insomnia and daytime sleepiness were the most prevalent long-term conditions identified among previously hospitalised COVID-19 survivors.

COVID-19 Pandemic-Related Sleep and Mental Health Disparities among Students at a Hispanic and Minority-Serving Institution.

BACKGROUND: The COVID-19 pandemic has impacted nearly all sectors of our population, including college students, who continue to share disproportionate rate of disparities. In this study, we aimed to identity key sleep health characteristics, including markers for obstructive sleep apnea, as well as its relation to mental health, physical health, and academic performance. METHODS: A cross-sectional study design with online survey dissemination was used. Descriptive, bivariate, and multivariable binary logistic regression analyses were conducted among a predominantly minority population. RESULTS: Results show that nearly 78% of the population reported that the pandemic impacted their mental or physical health, while over 83% reported daytime tiredness/fatigue/sleepiness, and another 61% reported sleeping less than seven hours during weekdays. Among other associations, pandemic-related poor sleep health, including sleeping less than seven hours, was associated with daytime tiredness/fatigue/sleepiness, psychological distress, as well as low mental health and physical health. A severe marker for obstructive sleep apnea, having stopped breathing during sleep, was also associated with psychological distress during the pandemic. CONCLUSIONS: Sleep health interventions are critical for optimizing college student health and well-being, including improving mental health outcomes.

Mental health conditions and academic burnout among medical and non-medical undergraduates during the mitigation of COVID-19 pandemic in China.

The outbreak of the novel coronavirus disease 2019 (COVID-19) has posed a great impact on people's mental health, especially for undergraduate students. This study aimed to compare the mental health conditions and academic burnout between medical and non-medical undergraduates in China when the COVID-19 pandemic is mitigating. A cross-sectional online survey was conducted among 4,972 undergraduates between October 2020 and April 2021, when the pandemic was basically under control. The survey included basic demographics information and standardized scales to evaluate depression, anxiety, perceived stress, daytime sleepiness, alcohol abuse/dependence, quality of life, fatigue, and academic burnout. Compared with medical undergraduates, non-medical undergraduates had higher rates of moderate to severe depression symptoms (29.1% vs. 17.9%, P < 0.001), moderate to severe anxiety symptoms (19.7% vs. 8.9%, P < 0.001), alcohol abuse/dependence (16.3% vs.10.3%, P < 0.001), excessive daytime sleepiness (47.4% vs. 43.4%, P = 0.018), high perceived stress (34.7% vs. 22.2%, P < 0.001), high level of fatigue (51.8% vs. 42.2%, P < 0.001), low QOL (35.8% vs. 21.4%, P < 0.001), and higher academic burnout score (59.4 vs. 57.5, P < 0.001). Being non-medical undergraduates, depression, alcohol abuse/dependence, excessive daytime sleepiness, and high perceived stress were positively associated with academic burnout, while high QOL was negatively associated with the burnout (all P < 0.001). Excessive daytime sleepiness was the strongest predictor for academic burnout.

Associations of sleep and circadian phenotypes with COVID-19 susceptibility and hospitalization: an observational cohort study based on the UK Biobank and a two-sample Mendelian randomization study.

STUDY OBJECTIVES: Sleep and circadian phenotypes are associated with several diseases. The present study aimed to investigate whether sleep and circadian phenotypes were causally linked with coronavirus disease 2019 (COVID-19)-related outcomes. METHODS: Habitual sleep duration, insomnia, excessive daytime sleepiness, daytime napping, and chronotype were selected as exposures. Key outcomes included positivity and hospitalization for COVID-19. In the observation cohort study, multivariable risk ratios (RRs) and their 95% confidence intervals (CIs) were calculated. Two-sample Mendelian randomization (MR) analyses were conducted to estimate the causal effects of the significant findings in the observation analyses. Odds ratios (ORs) and the corresponding 95% CIs were calculated and compared using the inverse variance weighting, weighted median, and MR-Egger methods. RESULTS: In the UK Biobank cohort study, both often excessive daytime sleepiness and sometimes daytime napping were associated with hospitalized COVID-19 (excessive daytime sleepiness [often vs. never]: RR = 1.24, 95% CI = 1.02-1.5; daytime napping [sometimes vs. never]: RR = 1.12, 95% CI = 1.02-1.22). In addition, sometimes daytime napping was also associated with an increased risk of COVID-19 susceptibility (sometimes vs. never: RR = 1.04, 95% CI = 1.01-1.28). In the MR analyses, excessive daytime sleepiness was found to increase the risk of hospitalized COVID-19 (MR IVW method: OR = 4.53, 95% CI = 1.04-19.82), whereas little evidence supported a causal link between daytime napping and COVID-19 outcomes. CONCLUSIONS: Observational and genetic evidence supports a potential causal link between excessive daytime sleepiness and an increased risk of COVID-19 hospitalization, suggesting that interventions targeting excessive daytime sleepiness symptoms might decrease severe COVID-19 rate.

Sleep quality and insomnia during the COVID-19 lockdown among the Saudi public: A cross-sectional study.

OBJECTIVES: To measure the Saudi population's sleep quality during the lockdown of COVID-19. METHODS: An internet-based questionnaire that was performed during the lockdown of the COVID-19 pandemic among the Saudi population over 2 weeks from April 1 to April 15, 2020. We used the instant messaging application WhatsApp and Twitter to reach the targeted population. Saudi citizens and non-Saudi residents who can read and understand the questionnaire were recruited. Data were analyzed using Stata and SPSS. RESULTS: A total of 790 responses were included. The majority of participants were the Saudi population 735 (92.9%). The prevalence of insomnia and poor sleep quality were 54.4% and 55.5%, respectively. Saudi citizenship was associated with longer sleep duration (p=0.031). Female gender and being married were associated with worse global PSQI, sleep quality, sleep distribution, sleep latency, and daytime dysfunction. CONCLUSION: Our findings showed that during the COVID-19 pandemic, the Saudi population had a high prevalence of insomnia and poor sleep quality. Routine monitoring of the psychological impact of life-threatening outbreaks and the adoption of effective early mental health actions should be considered.

Sleep patterns of US healthcare workers during the first wave of the COVID-19 pandemic.

PURPOSE: During the first few months of the COVID-19 outbreak, healthcare workers (HCW) faced levels of personal risk, emotional distress, and professional strain not seen in their lifetimes. This study described how these stressors influenced various aspects of their sleep patterns. METHODS: From May 19 to June 20, 2020, an electronic, cross-sectional survey was administered to a convenience sample of in- and outpatient HCW in a large, nonprofit healthcare system. Respondents described the pandemic's initial impact on personal and professional life and various sleep dimensions: regularity, efficiency, duration, timing, quality, and daytime sleepiness. RESULTS: Two hundred seven providers responded, representing 17 different healthcare roles. Most (82%) were women with a median age of 39 years (IQR1-3, 31-53). A majority of respondents (81%) worked in an inpatient setting, with half (46%) primarily on the "frontline." Approximately one-third of respondents (37%) were physicians and one-quarter (28%) were nurses. Overall, 68% of HCW reported at least one aspect of sleep worsened during the beginning of the pandemic; the most impacted were daytime sleepiness (increased in 43%) and sleep efficiency (worse in 37%). After adjusting for COVID exposure and burnout, frontline providers had twofold higher odds of poor pandemic sleep, aOR 2.53, 95%CI 1.07-5.99. Among frontline providers, physicians were fivefold more likely to develop poor pandemic sleep compared to nurses (OR 5.73, 95%CI 1.15-28.57). CONCLUSIONS: During the initial wave of COVID-19, a majority of HCW reported a decline in sleep with an increase in daytime sleepiness and insomnia. Frontline workers, specifically physicians, were at higher risk.