Association of Chronotype and Shiftwork with COVID-19 Infection.

OBJECTIVE: This study assesses whether chronotype is related to COVID-19 infection and whether there is an interaction with shift work. METHODS: Cross-sectional survey of 19,821 U.S. adults. RESULTS: COVID-19 infection occurred in 40% of participants, 32.6% morning and 17.2% evening chronotypes. After adjusting for demographic and socioeconomic factors, shift/remote work, sleep duration and comorbidities, morning chronotype was associated with a higher (aOR: 1.15, 95% CI 1.10-1.21) and evening chronotype with a lower (aOR: 0.82, 95% CI: 0.78-0.87) prevalence of COVID-19 infection in comparison to an intermediate chronotype. Working exclusively night shifts was not associated with higher prevalence of COVID-19. Morning chronotype and working some evening shifts was associated with the highest prevalence of previous COVID-19 infection (aOR: 1.87, 95% CI: 1.28-2.74). CONCLUSION: Morning chronotype and working a mixture of shifts increase risk of COVID-19 infection.

Feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older nightshift workers.

Study Objectives: To explore the feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older (age 50-65 years) nightshift workers. Methods: We used a three-part strategy: a screening survey to identify individuals who said they could adopt an 8-hour afternoon-evening sleep schedule; a field study where daily diary and actigraphy data were collected during a baseline week and intervention week, with randomization to self-selected sleep, 8-hour afternoon-evening time in bed (TIB), or 8-hour self-selected TIB; and follow-up focus groups to understand the acceptability of the intervention. Results: Gender (p < 0.001), Hispanic ethnicity (p = 0.023), the care of children (p = 0.014), and chronotype (p = 0.012), predicted the reported ability to spend 8 hours in bed in the afternoon-evening. Participants assigned to the 8-hour self-selected and 8-hour afternoon-evening groups significantly increased their TIB and sleep duration compared to baseline (p < 0.05), while the control group did not. Although spending 8 hours in bed was feasible for the participants during the study, focus group discussions indicated participants would not continue an 8-hour TIB schedule after the study due to family responsibilities and other activities of daily living. Conclusions: Spending 8 hours in bed between successive night shifts, initiated at both a self-selected time and in the afternoon-evening, increased the sleep duration of older shiftworkers, but most would not continue such a schedule on their own. Additional research is needed to find countermeasures for the reduced sleep duration experienced by most shiftworkers that are not only effective, but also compatible with shiftworkers' lifestyles.

Association of Obstructive Sleep Apnea with Post-Acute Sequelae of SARS-CoV-2 Infection.

BACKGROUND: Obstructive sleep apnea is associated with COVID-19 infection. Less clear is whether obstructive sleep apnea is a risk factor for the development of post-acute sequelae of SARS-CoV-2 infection (PASC). STUDY DESIGN: Cross-sectional survey of a general population of 24,803 US adults to determine the association of obstructive sleep apnea with PASC. RESULTS: COVID-19 infection occurred in 10,324 (41.6%) participants. Prevalence of persistent (>3 months post infection) putative PASC-related physical and mental health symptoms ranged from 6.5% (peripheral edema) to 19.6% (nervous/anxious). In logistic regression models, obstructive sleep apnea was associated with all putative PASC-related symptoms with the highest adjusted odds ratios being fever (2.053) and nervous/anxious (1.939). In 4 logistic regression models of overall PASC derived from elastic net regression, obstructive sleep apnea was associated with PASC (range of adjusted odds ratios: 1.934-2.071); this association was mitigated in those with treated obstructive sleep apnea. In the best fitting overall model requiring ≥3 symptoms, PASC prevalence was 21.9%. CONCLUSION: In a general population sample, obstructive sleep apnea is associated with the development of PASC-related symptoms and a global definition of PASC. Treated obstructive sleep apnea mitigates the latter risk. The presence of 3 or more PASC symptoms may be useful in identifying cases and for future research.

Sleep and mental health among unpaid caregivers of children, adults, and both: United States, 2022.

OBJECTIVES: We sought to characterize sleep and mental health, and their relationship, among unpaid caregivers. METHODS: During March through August 2022, four waves of cross-sectional surveys were administered to US adults using demographic quota sampling and weighting to improve representativeness of the US adult population. RESULTS: Among 19,767 respondents, 6260 (31.7%) identified as serving one or more unpaid caregiving roles. Compared to people without caregiving roles, caregivers more commonly reported sleep duration outside the healthy range (7-9 hours), insomnia symptoms, diagnosed sleep disorders, and more commonly screened positive for anxiety, depression, and burnout symptoms. Multivariable analyses adjusted for demographics characteristics revealed unpaid caregivers had several-fold elevated odds of adverse mental health symptoms; associations were attenuated but remained significant after adjusting for impaired and nonoptimal sleep. CONCLUSIONS: Both sleep and mental health challenges are disproportionately experienced by and commonly co-occur among unpaid caregivers, especially those who care for both children and adults. These populations, which serve critical societal roles, may benefit from enhanced support services to address sleep and mental health.

Public opinion of resident physician work hours in 2022.

OBJECTIVE: The purpose of this study was to characterize public awareness and opinion regarding resident physician work hours in the United States. METHODS: We conducted a nationally representative cross-sectional survey among adults in the United States. Demographic quota-based sampling was conducted by Qualtrics to match 2020 United States Census estimates of age, sex, race, and ethnicity. Descriptive statistics are presented. Hypothesis testing was conducted to identify characteristics associated with agreement with current resident physician work-hour policies. RESULTS: 4763 adults in the United States participated in the study. 97.1% of the public believes that resident physicians should not work 24-hour shifts and 95.6% believe the current 80 hours resident work week is too long. 66.4% of the participants reported that the maximum shift duration should be 12 consecutive hours or fewer, including 22.9% who recommended a maximum shift length of 8 hours. Similarly, 66.4% reported that maximum weekly work hours should be 59 or fewer, including 24.9% who recommended a maximum of 40 weekly work hours. CONCLUSIONS: Nearly all US adults disagree with current work-hour policies for resident physicians. Public opinion supports limiting shifts to no more than 12 consecutive hours and weekly work to no more than 60 hours, which is in sharp contrast to current regulations that permit of 28 hours shifts and 80 hours of work per week.

Evaluation of sleep strategies between night shifts in actual shift workers.

OBJECTIVES: The aim of this observational study was to examine sleep obtained between consecutive night shifts from shift workers in their natural environment. The goal was to identify the various sleep strategies and the timing, duration, regularity, and quality of sleep associated with the strategies. METHODS: Participants (N = 33, 23 women, aged 40 ± 15years) reported their sleep information in daily diaries over 2weeks while working at least one series of consecutive night shifts. Sleep timing, duration, quality, and regularity were calculated for each sleep episode between consecutive night shifts. RESULTS: Based on the reported sleep behavior, shift workers were categorized as either morning, delayed, split- or mixed sleepers. We found significant differences between the groups in timing of sleep, feeling refreshed, and regularity of sleep between consecutive night shifts, whereas duration and subjective soundness of sleep did not show significant differences. CONCLUSIONS: In this sample, four sleep strategies were observed between consecutive night shifts in actual shift workers. These observations may help design future interventions to improve sleep that are individualized to the worker.

Predicting neurobehavioral performance of resident physicians in a Randomized Order Safety Trial Evaluating Resident-Physician Schedules (ROSTERS).

OBJECTIVES: Mathematical models of human neurobehavioral performance that include the effects of acute and chronic sleep restriction can be key tools in assessment and comparison of work schedules, allowing quantitative predictions of performance when empirical assessment is impractical. METHODS: Using such a model, we tested the hypothesis that resident physicians working an extended duration work roster, including 24-28 hours of continuous duty and up to 88 hours per week averaged over 4weeks, would have worse predicted performance than resident physicians working a rapidly cycling work roster intervention designed to reduce the duration of extended shifts. The performance metric used was attentional failures (ie, Psychomotor Vigilance Task lapses). Model input was 169 actual work and sleep schedules. Outcomes were predicted hours per week during work hours spent at moderate (equivalent to 16-20 hours of continuous wakefulness) or high (equivalent to ≥20 hours of continuous wakefulness) performance impairment. RESULTS: The model predicted that resident physicians working an extended duration work roster would spend significantly more time at moderate impairment (p = .02, effect size=0.2) than those working a rapidly cycling work roster; this difference was most pronounced during the circadian night (p < .001). On both schedules, performance was predicted to decline from weeks 1 + 2 to weeks 3 + 4 (p < .001), but the rate of decline was significantly greater on extended duration work roster (p < .01). Predicted performance impairment was inversely related to prior sleep duration (p < .001). CONCLUSIONS: These findings demonstrate the utility of a mathematical model to evaluate the predicted performance profile of schedules for resident physicians and others who experience chronic sleep restriction and circadian misalignment.

The organization of sleep-wake patterns around daily schedules in college students.

Time is a zero-sum game, and consequently, sleep is often sacrificed for waking activities. For college students, daily activities, comprised of scheduled classes, work, study, social and other extracurricular events, are major contributors to insufficient and poor-quality sleep. We investigated the impact of daily schedules on sleep-wake timing in 223 undergraduate students (age: 18-27 years, 37% females) from a United States (U.S.) university, monitored for approximately 30 days. Sleep-wake timing and daily recorded activities (attendance at academic, studying, exercise-based and/or extracurricular activities) were captured by a twice-daily internet-based diary. Wrist-worn actigraphy was conducted to confirm sleep-wake timing. Linear mixed models were used to quantify associations between daily schedule and sleep-wake timing at between-person and within-person levels. Later schedule start time predicted later sleep onset (between and within: p<.001), longer sleep duration on the previous night (within: p<.001), and later wake time (between and within: p<.001). Later schedule end time predicted later sleep onset (between: p<.05, within: p<.001) and shorter sleep duration that night (within: p<.001). For every 1 hour that recorded activities extended beyond 10pm, sleep onset was delayed by 15 minutes at the within-person level and 45 minutes at the between-person level, and sleep duration was shortened by 5 and 23 minutes, respectively. Increased daily documented total activity time predicted earlier wake (between and within: p<.001), later sleep onset that night (within: p<.05), and shorter sleep duration (within: p<.001). These results indicate that daily schedules are an important factor in shaping sleep timing and duration in college students.

Interventions to improve the sleep of nurses: A systematic review.

Nurses are at a high risk for short sleep duration and poor sleep quality due to irregular work schedules and high occupational stress. Considering the effect of nurses' sleep on the safety and health of themselves and their patients, it is important to promote healthy sleep for nurses. We sought to synthesize the published experimental and quasi-experimental studies that address interventions to improve sleep in nurses. A systematic search was conducted for studies published in English up until May 15, 2023, using the databases PubMed, CINAHL, Academic Search Ultimate, and PsycINFO. In total, 38 articles were included, covering 22 experimental and 16 quasi-experimental studies with sample sizes ranging from 9 to 207. Studies were assessed using the Cochrane Risk of Bias tool and considered as low to medium quality. Thirty-six of the 38 studies reported positive findings for at least one sleep outcome. Intervention types included aroma therapy, dietary supplements, cognitive behavioral therapy, light therapy, mind-body therapy, sleep education, exercise, napping, shift schedule modification, and multicomponent intervention, all of which showed moderate effectiveness in promoting sleep outcomes of nurses. Comparing and contrasting studies on specific interventions for improving sleep in nurses is sparse and often equivocal. With the variations of research methodology and outcome measures, it is difficult to make a conclusion about each intervention's effectiveness on specific sleep outcomes. Additional high-quality research, including randomized controlled trials, is needed to evaluate strategies for improving sleep in this unique, safety-sensitive occupational group.

Systematic Review of the Impact of Physician Work Schedules on Patient Safety with Meta-Analyses of Mortality Risk.

Resident physician work hour limits continue to be controversial. Numerous trials have come to conflicting conclusions about the impact on patient safety of eliminating extended duration work shifts. We conducted meta-analyses to evaluate the impact of work hour policies and work schedules on patient safety. After identifying 8,362 potentially relevant studies and reviewing 688 full-text articles, 132 studies were retained and graded on quality of evidence. Of these, 68 studies provided enough information for consideration in meta-analyses. We found that patient safety improved following implementation of the Accreditation Council for Graduate Medical Education's 2003 and 2011 resident physicians work hour guidelines. Limiting all resident physicians to 80-hour work weeks and 28-hour shifts in 2003 was associated with an 11% reduction in mortality (p < 0.001). Limited shift durations and shorter work weeks were also associated with improved patient safety in clinical trials and observational studies not specifically tied to policy changes. Given the preponderance of evidence showing that patient and physician safety is negatively affected by long work hours, efforts to improve physician schedules should be prioritized. Policies that enable extended-duration shifts and long work weeks should be reexamined. Further research should expand beyond resident physicians to additional study populations, including attending physicians and other health care workers.

Association of Chronotype and Shiftwork with COVID-19 Infection.

Objective: This study assesses whether chronotype is related to COVID-19 infection and whether there is an interaction with shift work. Methods: Cross-sectional survey of 19,821 U.S. adults. Results: COVID-19 infection occurred in 40% of participants, 32.6% morning and 17.2% evening chronotypes. After adjusting for demographic and socioeconomic factors, shift work, sleep duration and comorbidities, morning chronotype was associated with a higher (aOR: 1.15, 95% CI 1.10-1.21) and evening chronotype with a lower (aOR: 0.82, 95% CI: 0.78-0.87) prevalence of COVID-19 infection in comparison to an intermediate chronotype. Working exclusively night shifts was not associated with higher prevalence of COVID-19. Morning chronotype and working some evening shifts was associated with the highest prevalence of previous COVID-19 infection (aOR: 1.87, 95% CI: 1.28-2.74). Conclusion: Morning chronotype and working a mixture of shifts increase risk of COVID-19 infection.

Associations between obstructive sleep apnea and COVID-19 infection and hospitalization among US adults.

STUDY OBJECTIVES: Medical comorbidities increase the risk of severe COVID-19 infection. In some studies, obstructive sleep apnea (OSA) has been identified as a comorbid condition that is associated with an increased prevalence of COVID-19 infection and hospitalization, but few have investigated this association in a general population. This study aimed to answer the following research question: In a general population, is OSA associated with increased odds of COVID-19 infection and hospitalization and are these altered with COVID-19 vaccination? METHODS: This was a cross-sectional survey of a diverse sample of 15,057 US adults. RESULTS: COVID-19 infection and hospitalization rates in the cohort were 38.9% and 2.9%, respectively. OSA or OSA symptoms were reported in 19.4%. In logistic regression models adjusted for demographic, socioeconomic, and comorbid medical conditions, OSA was positively associated with COVID-19 infection (adjusted odds ratio: 1.58, 95% CI: 1.39-1.79) and COVID-19 hospitalization (adjusted odds ratio: 1.55, 95% CI: 1.17-2.05). In fully adjusted models, boosted vaccination status was protective against both infection and hospitalization. Boosted vaccination status attenuated the association between OSA and COVID-19 related hospitalization but not infection. Participants with untreated or symptomatic OSA were at greater risk for COVID-19 infection; those with untreated but not symptomatic OSA were more likely to be hospitalized. CONCLUSIONS: In a general population sample, OSA is associated with a greater likelihood of having had a COVID-19 infection and a COVID-19 hospitalization with the greatest impact observed among persons experiencing OSA symptoms or who were untreated for their OSA. Boosted vaccination status attenuated the association between OSA and COVID-19-related hospitalization. CITATION: Quan SF, Weaver MD, Czeisler MÉ, et al. Associations between obstructive sleep apnea and COVID-19 infection and hospitalization among U.S. adults. J Clin Sleep Med. 2023;19(7):1303-1311.

Impact of work schedules of senior resident physicians on patient and resident physician safety: nationwide, prospective cohort study.

Objective: To determine whether long weekly work hours and shifts of extended duration (≥24 hours) are associated with adverse patient and physician safety outcomes in more senior resident physicians (postgraduate year 2 and above; PGY2+). Design: Nationwide, prospective cohort study. Setting: United States, conducted over eight academic years (2002-07, 2014-17). Participants: 4826 PGY2+ resident physicians who completed 38 702 monthly web based reports of their work hours and patient and resident safety outcomes. Main outcome measures: Patient safety outcomes included medical errors, preventable adverse events, and fatal preventable adverse events. Resident physician health and safety outcomes included motor vehicle crashes, near miss crashes, occupational exposures to potentially contaminated blood or other bodily fluids, percutaneous injuries, and attentional failures. Data were analysed with mixed effects regression models that accounted for dependence of repeated measures and controlled for potential confounders. Results: Working more than 48 hours per week was associated with an increased risk of self-reported medical errors, preventable adverse events, and fatal preventable adverse events as well as near miss crashes, occupational exposures, percutaneous injuries, and attentional failures (all P<0.001). Working between 60 and 70 hours per week was associated with a more than twice the risk of a medical error (odds ratio 2.36, 95% confidence interval 2.01 to 2.78) and almost three times the risk of preventable adverse events (2.93, 2.04 to 4.23) and fatal preventable adverse events (2.75, 1.23 to 6.12). Working one or more shifts of extended duration in a month while averaging no more than 80 weekly work hours was associated with an 84% increased risk of medical errors (1.84, 1.66 to 2.03), a 51% increased risk of preventable adverse events (1.51, 1.20 to 1.90), and an 85% increased risk of fatal preventable adverse events (1.85, 1.05 to 3.26). Similarly, working one or more shifts of extended duration in a month while averaging no more than 80 weekly work hours also increased the risk of near miss crashes (1.47, 1.32 to 1.63) and occupational exposures (1.17, 1.02 to 1.33). Conclusions: These results indicate that exceeding 48 weekly work hours or working shifts of extended duration endangers even experienced (ie, PGY2+) resident physicians and their patients. These data suggest that regulatory bodies in the US and elsewhere should consider lowering weekly work hour limits, as the European Union has done, and eliminating shifts of extended duration to protect the more than 150 000 physicians training in the US and their patients.

Insomnia, Poor Sleep Quality and Sleep Duration, and Risk for COVID-19 Infection and Hospitalization.

BACKGROUND: Medical comorbidities increase the risk of severe acute COVID-19 illness. Although sleep problems are common after COVID-19 infection, it is unclear whether insomnia, poor sleep quality, and extremely long or short sleep increase risk of developing COVID-19 infection or hospitalization. METHODS: The study used a cross-sectional survey of a diverse sample of 19,926 US adults. RESULTS: COVID-19 infection and hospitalization prevalence rates were 40.1% and 2.9%, respectively. Insomnia and poor sleep quality were reported in 19.8% and 40.1%, respectively. In logistic regression models adjusted for comorbid medical conditions and sleep duration but excluding participants who reported COVID-19-associated sleep problems, poor sleep quality, but not insomnia, was associated with COVID-19 infection (adjusted odds ratio [aOR] 1.16; 95% CI, 1.07-1.26) and COVID-19 hospitalization (aOR 1.50; 95% CI, 1.18-1.91). In comparison with habitual sleep duration of 7-8 hours, sleep durations <7 hours (aOR 1.14; 95% CI, 1.06-1.23) and sleep duration of 12 hours (aOR 1.61; 95% CI, 1.12-2.31) were associated with increased odds of COVID-19 infection. Overall, the relationship between COVID-19 infection and hours of sleep followed a quadratic (U-shaped) pattern. No association between sleep duration and COVID-19 hospitalization was observed. CONCLUSION: In a general population sample, poor sleep quality and extremes of sleep duration are associated with greater odds of having had a COVID-19 infection; poor sleep quality was associated with an increased requirement of hospitalization for severe COVID-19 illness. These observations suggest that inclusion of healthy sleep practices in public health messaging may reduce the impact of the COVID-19 pandemic.

Impact of sleep deficiency on surgical performance: a prospective assessment.

STUDY OBJECTIVES: Sleep deficiency can adversely affect the performance of resident physicians, resulting in greater medical errors. However, the impact of sleep deficiency on surgical outcomes, particularly among attending surgeons, is less clear. METHODS: Sixty attending surgeons from academic and community departments of surgery or obstetrics and gynecology were studied prospectively using direct observation and self-report to explore the effect of sleep deprivation on patient safety, operating room communication, medical errors, and adverse events while operating under 2 conditions, post-call (defined as > 2 hours of nighttime clinical duties) and non-post-call. RESULTS: Each surgeon contributed up to 5 surgical procedures post-call and non-post-call, yielding 362 cases total (150 post-call and 210 non-post-call). Most common were caesarian section and herniorrhaphy. Hours of sleep on the night before the operative procedure were significantly less post-call (4.98 ± 1.41) vs non-post-call (6.68 ± 0.88, P < .01). Errors were infrequent and not related to hours of sleep or post-call status. However, Non-Technical Skills for Surgeons ratings demonstrated poorer performance while post-call for situational awareness, decision-making, and communication/teamwork. Fewer hours of sleep also were related to lower ratings for situational awareness and decision-making. Decreased self-reported alertness was observed to be associated with increased procedure time. CONCLUSIONS: Sleep deficiency in attending surgeons was not associated with greater errors during procedures performed during the next day. However, procedure time was increased, suggesting that surgeons were able to compensate for sleep loss by working more slowly. Ratings on nontechnical surgical skills were adversely affected by sleep deficiency. CITATION: Quan SF, Landrigan CP, Barger LK, et al. Impact of sleep deficiency on surgical performance: a prospective assessment. J Clin Sleep Med. 2023;19(4):673-683.

Later energy intake relative to mathematically modeled circadian time is associated with higher percentage body fat.

OBJECTIVE: Later circadian timing of energy intake is associated with higher body fat percentage. Current methods for obtaining accurate circadian timing are labor- and cost-intensive, limiting practical application of this relationship. This study investigated whether the timing of energy intake relative to a mathematically modeled circadian time, derived from easily collected ambulatory data, would differ between participants with a lean or overweight/obesity body fat percentage. METHODS: Participants (N = 87) wore a light- and activity-measuring device (actigraph) throughout a cross-sectional 30-day study. For 7 consecutive days within these 30 days, participants used a time-stamped-picture phone application to record energy intake. Body fat percentage was recorded. Circadian time was defined using melatonin onset from in-laboratory collected repeat saliva sampling or using light and activity or activity data alone entered into a mathematical model. RESULTS: Participants with overweight/obesity body fat percentages ate 50% of their daily calories significantly closer to model-predicted melatonin onset from light and activity data (0.61 hours closer) or activity data alone (0.86 hours closer; both log-rank p < 0.05). CONCLUSIONS: Use of mathematically modeled circadian timing resulted in similar relationships between the timing of energy intake and body composition as that observed using in-laboratory collected metrics. These findings may facilitate use of circadian timing in time-based interventions.

National improvements in resident physician-reported patient safety after limiting first-year resident physicians' extended duration work shifts: a pooled analysis of prospective cohort studies.

BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) enacted a policy in 2011 that restricted first-year resident physicians in the USA to work no more than 16 consecutive hours. This was rescinded in 2017. METHODS: We conducted a nationwide prospective cohort study of resident physicians for 5 academic years (2002-2007) before and for 3 academic years (2014-2017) after implementation of the 16 hours 2011 ACGME work-hour limit. Our analyses compare trends in resident physician-reported medical errors between the two cohorts to evaluate the impact of this policy change. RESULTS: 14 796 residents provided data describing 78 101 months of direct patient care. After adjustment for potential confounders, the work-hour policy was associated with a 32% reduced risk of resident physician-reported significant medical errors (rate ratio (RR) 0.68; 95% CI 0.64 to 0.72), a 34% reduced risk of reported preventable adverse events (RR 0.66; 95% CI 0.59 to 0.74) and a 63% reduced risk of reported medical errors resulting in patient death (RR 0.37; 95% CI 0.28 to 0.49). CONCLUSIONS: These findings have broad relevance for those who work in and receive care from academic hospitals in the USA. The decision to lift this work hour policy in 2017 may expose patients to preventable harm.

Association of Obstructive Sleep Apnea with Post-Acute Sequelae of SARS-CoV-2 infection (PASC).

Background: Obstructive sleep apnea (OSA) is associated with COVID-19 infection. Fewer investigations have assessed OSA as a possible risk for the development of Post-Acute Sequelae of SARS-CoV-2 infection (PASC). Research Question: In a general population, is OSA associated with increased odds of PASC-related symptoms and with an overall definition of PASC? Study Design: Cross-sectional survey of a general population of 24,803 U.S. adults. Results: COVID-19 infection occurred in 10,324 (41.6%) participants. Prevalence rates for a wide variety of persistent (> 3 months post infection) putative PASC-related physical and mental health symptoms ranged from 6.5% (peripheral edema) to 19.6% (nervous/anxious). In logistic regression models adjusted for demographic, anthropometric, comorbid medical and socioeconomic factors, OSA was associated with all putative PASC-related symptoms with the highest adjusted odds ratios (aOR) being fever (2.053) and nervous/anxious (1.939) respectively. Elastic net regression identified the 13 of 37 symptoms most strongly associated with COVID-19 infection. Four definitions of PASC were developed using these symptoms either weighted equally or proportionally by their regression coefficients. In all 4 logistic regression models using these definitions, OSA was associated with PASC (range of aORs: 1.934-2.071); this association was mitigated in those with treated OSA. In the best fitting overall model requiring ≥3 symptoms, PASC prevalence was 21.9%. Conclusion: In a general population sample, OSA is associated with the development of PASC-related symptoms and a global definition of PASC. A PASC definition requiring the presence of 3 or more symptoms may be useful in identifying cases and for future research.

Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial.

OBJECTIVES: We evaluated an online Sleep Health and Wellness (SHAW) programme paired with dayzz, a personalised sleep training programme deployed via smartphone application (dayzz app) that promotes healthy sleep and treatment for sleep disorders, among employees at a large healthcare organisation. DESIGN: Open-label, randomised, parallel-group controlled trial. SETTING: A healthcare employer in the USA. PARTICIPANTS: 1355 daytime workers. INTERVENTION: Participants were randomised to intervention (n=794) or control (n=561) on consent. Intervention participants received the SHAW educational programme at baseline plus access to the personalised dayzz app for up to 9 months. The control condition received the intervention at month 10. PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary outcome measures were sleep-related behavioural changes (eg, consistent sleep schedule); sleep behaviour tracked on an electronic sleep diary and sleep quality. Our secondary outcome measures included employee absenteeism, performance and productivity; stress, mood, alertness and energy; and adverse health and safety outcomes (eg, accidents). RESULTS: At follow-up, employees in the intervention condition were more likely to report increased sleep duration on work (7.20 vs 6.99, p=0.01) and on free (8.26 vs 8.04, p=0.03) nights. At follow-up, the prevalence of poor sleep quality was lower in the intervention (n=160 of 321, 50%) compared with control (n=184 of 327, 56%) (p=0.04). The mean total dollars lost per person per month due to reduced workplace performance (presenteeism) was less in the intervention condition (US$1090 vs US$1321, p=0.001). Employees in the intervention reported fewer mental health visits (RR 0.72, 95% CI 0.56 to 0.94, p=0.01) and lower healthcare utilisation over the study interval (RR 0.81, 95% CI 0.67 to 0.98, p=0.03). We did not observe differences in stress (4.7 (95% CI 4.6 to 4.8) vs 4.7 (95% CI 4.6 to 4.8)), mood (4.5 (95% CI 4.4 to 4.6) vs 4.6 (95% CI 4.5 to 4.7)), alertness (4.9 (95% CI 4.8 to 5.0) vs 5.0 (95% CI 4.9 to 5.1)) or adverse health and safety outcomes (motor vehicle crashes: OR 0.82 (95% CI 0.34 to 1.9); near-miss crashes: OR=0.89 (95% CI 0.5 to 1.5) and injuries: 0.9 (95% CI 0.6 to 1.3)); energy was higher at follow-up in the intervention group (4.3 vs 4.5; p=0.03). CONCLUSIONS: Results from this trial demonstrate that a SHAW programme followed by access to the digital dayzz app can be beneficial to both the employee and employer. TRIAL REGISTRATION NUMBER: NCT04224285.