Overview of sleep management during COVID-19

The Association Between Lifestyle Factors and COVID-19 Among Older Adults in Southern California: The Loma Linda Longevity Study

Amid a global aging trend, particularly notable in the U.S., there is a growing focus on achieving enhanced longevity and well-being. We evaluated the association between lifestyle factors (sleep, diet, and healthy lifestyle index) and COVID-19 infection in an older adult population in San Bernardino and Riverside counties in Southern California, the United States. A sample of 380 older adults ≥75 years old were surveyed cross-sectionally and self-reported lifestyle behaviors and COVID-19 infection. The results revealed that half the participants reported COVID-19 infection. Participants who slept less than 7 hours or more than 8 hours/night had higher odds of COVID-19 infection than those who slept 7-8 hours/night (OR = 1.62, 95% CI: 1.03, 2.55). Healthy lifestyle behaviors were significantly associated with reduced COVID-19 infection (OR = 0.61, 95% CI: 0.40, 0.92). In conclusion, adequate sleep and healthy lifestyle behaviors may be protective against COVID-19 infection among older adults and should be investigated further.

Sleep disturbance increases the risk of severity and acquisition of COVID-19: a systematic review and meta-analysis

BACKGROUND

Understanding the association between sleep quality and COVID-19 outcomes is crucial for effective preventive strategies and patient management. This systematic review aims to evaluate the impact of sleep quality as a risk factor for acquiring COVID-19 infection and the severity of the disease.

METHODS

A comprehensive search of electronic databases was conducted to identify relevant studies published from the inception of the COVID-19 pandemic which was 31st of December 2019 until 30 April 2023. Studies investigating the relationship between sleep quality and COVID-19 infection, or disease severity were included. Random effect meta-analysis was performed with odds ratios (OR) and their 95% confidence intervals (95% CI) as effect measures.

RESULTS

Out of the initial 1,132 articles identified, 12 studies met the inclusion criteria. All studies were observational studies (cohort, case-control, and cross-sectional). The association between sleep quality and COVID-19 infection risk was examined in 6 studies, The results of our meta-analysis showed that participants with poor sleep quality showed a 16% increase regarding the risk of COVID-19 acquisition (OR 1.16; 95% CI 1.03, 1.32; I2 = 65.2%, p = 0.02). Our results showed that participants with poor sleep quality showed a 51% increase in the incidence of primary composite outcome (OR 1.51; 95% CI 1.25, 1.81; I2 = 57.85%, p < 0.001). The result of our subgroup analysis also showed significantly increased risk of mortality (RR 0.67; 95% CI 0.50, 0.90; I2 = 31%, p = 0.008), and disease severity (OR 1.47; 95% CI 1.19, 1.80; I2 = 3.21%, p < 0.001) when comparing poor sleep group to those with good sleep quality.

CONCLUSION

This study highlights a significant association between poor sleep quality and an increased risk of COVID-19 infection as well as worse disease clinical outcomes.

Annual review of selected scientific literature: A report of the Committee on Scientific Investigation of the American Academy of Restorative Dentistry

The Scientific Investigation Committee of the American Academy of Restorative Dentistry offers this review of the 2022 dental literature to briefly touch on several topics of interest to modern restorative dentistry. Each committee member brings discipline-specific expertise in their subject areas that include (in order of the appearance in this report): prosthodontics; periodontics, alveolar bone, and peri-implant tissues; dental materials and therapeutics; occlusion and temporomandibular disorders; sleep-related breathing disorders; oral medicine and oral and maxillofacial surgery; and dental caries and cariology. The authors focused their efforts on reporting information likely to influence the daily dental treatment decisions of the reader with an emphasis on innovations, new materials and processes, and future trends in dentistry. With the tremendous volume of literature published daily in dentistry and related disciplines, this review cannot be comprehensive. Instead, its purpose is to update interested readers and provide valuable resource material for those willing to subsequently pursue greater detail on their own. Our intent remains to assist colleagues in navigating the tremendous volume of newly minted information produced annually. Finally, we hope that readers find this work helpful in managing patients.

Effects of digital sleep interventions on sleep and psychological health during the COVID-19 pandemic: A systematic review and meta-analysis

BACKGROUND

Various digital sleep interventions have been implemented to address sleep and psychological complications during the coronavirus disease 2019 (COVID-19) pandemic. However, the characteristics and effectiveness of digital sleep interventions on sleep and psychological outcomes for people with sleep problems during the COVID-19 pandemic are unknown.

METHODS

The protocol of this systematic review and meta-analysis was registered on PROSPERO (ID: CRD42022325662), seven databases were searched from December 2019 to June 2023. Reference lists from digital sleep reviews were also identified and selected. Two reviewers independently screened eligible articles and extracted data. Quality appraisal was undertaken by two independent reviewers using the Cochrane Risk-of-Bias Tools. Data synthesis was conducted using fixed- or random-effects model based on the results of the heterogeneity test.

RESULTS

A total of 20 studies were identified, including nine randomised controlled trials (RCTs) and 11 non-RCTs, involving 3860 participants. Meta-analyses showed that digital sleep interventions significantly improve sleep quality, insomnia, and depression during the COVID-19 pandemic. Subgroup analysis showed that interventions of more than four weeks, healthcare workers as participants, and relaxation therapies may have the advantage of improving sleep quality. Most non-RCTs supported the efficacy of digital sleep interventions on sleep and psychological health.

CONCLUSION

Digital sleep interventions during the COVID-19 pandemic had significant effectiveness in improving sleep and psychological outcomes for people with sleep problems. More structured and personalised digital sleep interventions should be designed, and other diverse digital technologies could be used to improve sleep and psychological disorders.

Impact of the early months of the COVID-19 pandemic on the sleep patterns of a Brazilian population sample

Humanitarian and health crisis have drastic effects on the physical and mental well-being of people. The COVID-19 pandemic forced many countries to impose containment measures on its population to halt the spread of the new coronavirus (SARS-CoV-2). This aim of this study was to explore self-reported sleep quality and insomnia symptoms in a sample of the Brazilian population before and during the COVID-19 quarantine period. Our data was collected through online questionnaires, including the Pittsburgh Sleep Quality Index, the Insomnia Severity Index, and the Sleep Hygiene Index. The final sample comprised 1,109 volunteers. Generalized estimating equations (GEE) revealed that during the initial months of the COVID-19 pandemic, alterations in self-reported sleep parameters were observed in the participants. Sleep efficiency and sleep duration increased, but there was a worsening in sleep quality and an increase in symptoms related to insomnia.

[Outpatient rehabilitative care for patients with Long-COVID - a guideline-based clinical practice guideline]

BACKGROUND

Even after weeks and months, persisting and also newly occurring symptoms after SARS-CoV-2 infection are common and lead in many cases to a broad spectrum of impairments and participation restrictions in all areas of daily life. Scientific evidence on therapeutic options still is limited. The aim of this work is therefore to provide pragmatic treatment recommendations analogous to the current therapeutic appliances guideline.

METHOD

In addition to a search in six electronic databases, the experiences from the treatment of more than hundred affected persons from the post-COVID outpatient rehabilitation service were used. Additionally, experiences with patients with similar symptoms from other diseases were included. All authors worked together to develop the pragmatic recommendations for the treatment of the main symptoms within the framework of outpatient therapy measures. A list of recommended diagnostics and functional assessments prior to therapy was also developed.

RESULTS

For the main symptoms fatigue, dyspnoea and cognitive impairment, the catalog of therapeutic products offers a wide range of therapeutic options under the diagnosis U09.9. The therapy packages should be composed individually and adapted to the patient's performance level that regularly should be (re-)assessed. Informing the patient about possible relapses and deteriorations and how to deal with them should be also part of the treatment regimen.

DISCUSSION

Physical modalities and rehabilitation interventions should be used in out-patient rehabilitation setting for the treatment of Long-COVID. In this regard, it is also important to take into account and treat serious complications after the disease, such as post-intensive care syndrome. Due to the rapid evolution of the knowledge a frequent review of scientific papers and recommendations should be conducted. High-quality intervention studies are necessary to achieve greater evidence in this field.

COVID-19 and Sleep Disturbances: A Literature Review of Clinical Evidence

The need for adequate good quality sleep to optimally function is well known. Over years, various physical, psychological, biological, and social factors have been investigated to understand their impact on sleep. However, understanding the etiological processes that are involved in causing sleep disturbances (SD) as impacted by stressful phases such as pandemics has not been well studied. Many such etiological and management strategies have surfaced during the latest "coronavirus disease of 2019 (COVID-19) pandemic. The occurrence of these SD in the infected and uninfected individuals poses a need to investigate factors linked to such occurrence during this phase. Some of such factors include stressful practices such as social distancing, masking, vaccines, and medications availability, changes in routines, and lifestyles. As the status of infection improved, a collective term for all the prolonged effects of COVID-19 after the resolution of the primary infection called the post-COVID-19 syndrome (PCS) surfaced. Apart from impacting sleep during the infectious phase, the aftereffects of this virus left an even greater impact during the PCS. Various mechanisms have been hypothesized to be linked to such SD during the PCS, but the available data are inconclusive. Further, the varied patterns of incidence of these SDs differed by many factors, such as age, gender, and geographical location, making clinical management even more challenging. This review elucidates the impact of coronavirus 2 (SARS-CoV-2) (COVID) disease on sleep health during the various phases of the COVID-19 pandemic. We also investigate different causal relationships, management strategies, and knowledge gaps related to SD during the COVID-19 pandemic.

Stress and the hypothalamic-pituitary-adrenal axis: How can the COVID-19 pandemic inform our understanding and treatment of acute insomnia?

Stress and sleep are very closely linked, and stressful life events can trigger acute insomnia. The ongoing COVID-19 pandemic is highly likely to represent one such stressful life event. Indeed, a wide range of cross-sectional studies demonstrate that the pandemic is associated with poor sleep and sleep disturbances. Given the high economic and health burden of insomnia disorder, strategies that can prevent and treat acute insomnia, and also prevent the transition from acute insomnia to insomnia disorder, are necessary. This narrative review outlines why the COVID-19 pandemic is a stressful life event, and why activation of the hypothalamic-pituitary-adrenal axis, as a biological marker of psychological stress, is likely to result in acute insomnia. Further, this review outlines how sleep disturbances might arise as a result of the COVID-19 pandemic, and why simultaneous hypothalamic-pituitary-adrenal axis measurement can inform the pathogenesis of acute insomnia. In particular, we focus on the cortisol awakening response as a marker of hypothalamic-pituitary-adrenal axis function, as cortisol is the end-product of the hypothalamic-pituitary-adrenal axis. From a research perspective, future opportunities include identifying individuals, or particular occupational or societal groups (e.g. frontline health staff), who are at high risk of developing acute insomnia, and intervening. From an acute insomnia treatment perspective, priorities include testing large-scale online behavioural interventions; examining if reducing the impact of stress is effective and, finally, assessing whether "sleep vaccination" can maintain good sleep health by preventing the occurrence of acute insomnia, by preventing the transition from acute insomnia to insomnia disorder.

Diabetes Prevention and Measures to Ensuring a Healthy Lifestyle during COVID-19 Pandemic and after

The incidence of diabetes mellitus (DM) is increasing exponentially globally, with 90% of the confirmed cases being type 2 DM. The global incidence of DM is expected to increase by 48% during 2017-2045. The coronavirus disease 2019 (COVID-19) pandemic continues to have a massive impact on human health, causing sudden lifestyle changes through quarantine measures, such as lockdown, social distancing, various curfews, and isolation at home. This in turn might increase the risk of developing numerous chronic diseases, such as DM, obesity, and cardiovascular diseases, which increase the severity of COVID-19. To this end, we performed a comprehensive review to determine viable measures for the prevention of DM and its subsequent upsurge globally. Additionally, we have determined strategies that should be adopted globally to ensure a healthy lifestyle during the COVID-19 pandemic and later.

Sleep testing during the pandemic

BACKGROUND

The COVID-19 pandemic disrupted the U.S. healthcare system, reducing the capacity available for unrelated conditions, such as sleep disordered breathing, and increasing concerns about the safety of in-lab testing. This study characterizes how the pandemic impacted the assessment of sleep disordered breathing and use of associated services.

METHODS

Sleep testing claims occurring between January 2019 and June 2021 were extracted from the database of a national healthcare organization. Utilization was trended. Logistic regressions were run to assess the association between quarter of initial testing, whether testing was followed by treatment, and whether testing was followed by a clinical visit with a diagnosis related to sleep apnea, after controlling for patient-related factors. A Cox proportional hazards model assessed factors influencing time to treatment. Finally, a logistic regression assessed factors influencing the finality of home-based testing.

RESULTS

In Q2 2021, home-based testing utilization was 134% of its initial level, while in-lab and split night testing were both at 61% of initial levels. Patients receiving initial home-based testing did not significantly differ in their likelihood of treatment, but were significantly less likely to have a clinical visit for sleep apnea (P < 0.01). Patients initially tested in 2021 were treated significantly more quickly than those initially tested in Q1 2019. Home-based testing occurring in Q4 2019 or later was significantly more likely to be definitive than home-based testing occurring Q1 2019.

CONCLUSIONS

Home-based sleep testing increased significantly and durably in 2020, and was associated with faster time to treatment than initial in-lab testing.

An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device

Background

The rapid advancement in wearable solutions to monitor and score sleep staging has enabled monitoring outside of the conventional clinical settings. However, most of the devices and algorithms lack extensive and independent validation, a fundamental step to ensure robustness, stability, and replicability of the results beyond the training and testing phases. These systems are thought not to be feasible and reliable alternatives to the gold standard, polysomnography (PSG).

Materials and methods

This validation study highlights the accuracy and precision of the proposed heart rate (HR)-based deep-learning algorithm for sleep staging. The illustrated solution can perform classification at 2-levels (Wake; Sleep), 3-levels (Wake; NREM; REM) or 4- levels (Wake; Light; Deep; REM) in 30-s epochs. The algorithm was validated using an open-source dataset of PSG recordings (Physionet CinC dataset, n = 994 participants, 994 recordings) and a proprietary dataset of ECG recordings (Z3Pulse, n = 52 participants, 112 recordings) collected with a chest-worn, wireless sensor and simultaneous PSG collection using SOMNOtouch.

Results

We evaluated the performance of the models in both datasets in terms of Accuracy (A), Cohen's kappa (K), Sensitivity (SE), Specificity (SP), Positive Predictive Value (PPV), and Negative Predicted Value (NPV). In the CinC dataset, the highest value of accuracy was achieved by the 2-levels model (0.8797), while the 3-levels model obtained the best value of K (0.6025). The 4-levels model obtained the lowest SE (0.3812) and the highest SP (0.9744) for the classification of Deep sleep segments. AHI and biological sex did not affect scoring, while a significant decrease of performance by age was reported across the models. In the Z3Pulse dataset, the highest value of accuracy was achieved by the 2-levels model (0.8812), whereas the 3-levels model obtained the best value of K (0.611). For classification of the sleep states, the lowest SE (0.6163) and the highest SP (0.9606) were obtained for the classification of Deep sleep segment.

Conclusion

The results of the validation procedure demonstrated the feasibility of accurate HR-based sleep staging. The combination of the proposed sleep staging algorithm with an inexpensive HR device, provides a cost-effective and non-invasive solution deployable in the home environment and robust across age, sex, and AHI scores.

Growth in the development of health and fitness mobile apps amid COVID-19 pandemic

Objectives

Technology in the form of mobile apps has played an essential role in facilitating, tracking, and maintaining health and fitness activities during the pandemic. When countries opted for partial or complete lockdowns to contain the spread of the coronavirus disease 2019 virus, it led to people working on their health and fitness-related activities from their homes, just as they continued working from home. This paper aims to quantify the impact of coronavirus disease 2019 on the development of health and fitness mobile apps. Specifically, we compute the effect of coronavirus disease 2019 on the growth of different sub-categories of health and fitness apps.

Methods

We scraped data about a population of 78,890 health and fitness apps from the iOS App Store. First, categories of health and fitness apps are identified using text analysis on the descriptions of apps. Second, the rise in the development of new apps is analyzed. To quantify the impact of coronavirus disease 2019 on the growth of the health and fitness apps, multiple time-series forecasting models are created for different categories of health and fitness apps.

Results

The text analysis identified twelve different types of health and fitness apps on the app market. Our models estimated that the number of health and fitness apps on the iOS app market exceeded the expected growth by 29.9% after the pandemic. The results of all categories of health and fitness are discussed in the paper.

Conclusions

Our analysis found significant growth in the development of new health and fitness apps after the pandemic outbreak. The post hoc study of the population of health and fitness apps presented the current state of this particular area of the app market. In addition, it provided potential growth areas in app markets where there are fewer apps.

The Positive Effects of Poria cocos Extract on Quality of Sleep in Insomnia Rat Models

Sleep disorders may have various causes and can incur mental and/or physical symptoms, and affect an individual’s quality of life. In this study, we confirm that the Poria cocos extract (PCET) can improve sleep quality and structure by promoting inhibitory neurotransmission via the γ-aminobutyric acid (GABA) type A (GABAA) receptors based on the mechanisms revealed in the experiment with superior cervical ganglion neurons. Pentobarbital-induced sleep tests were conducted in order to determine whether the PCET extract improves the sleep quality and structure in normal ICR mice. Sleep latency and duration were checked with the righting reflex. To simulate the state of awakening as well as a normal sleep state, caffeine was administered orally before the PCET diet. After oral gavage of PCET, sleep latency was decreased, and total sleep duration was increased in normal and caffeine-induced sleep disturbance state. In the ACTH-induced sleep disturbed models, administration of PCET significantly reduced the sleep latency and increased the non-REM sleep duration, which was analyzed in real-time EEG by implanting wireless electrodes in SD rats. PCET was found to improve the sleep quality under a normal sleep state through the GABAA receptor; it also promoted and improved the sleep quality and sleep structure in both the arousal activation state and stress-based sleep disturbance.

The impact of COVID-19 pandemic on sleep quality in healthcare workers in Turkey

Background

The COVID-19 pandemic has caused serious concerns and psychological distress globally. Healthcare workers remain one of the most affected groups due to life threatening risks in addition to increased working hours and labor intensity. All these factors may affect sleep quality of this population. The aim of this study is to evaluate the sleep behaviors of healthcare professionals working in secondary and tertiary hospitals in a large population in Turkey and to show how sleep quality is affected during the pandemic process using the easily applicable Jenkins Sleep Scale (JSS). The population of this cross-sectional descriptive study consists of two pandemic hospitals determined in Kahramanmaraş province. In our questionnaire, we asked subjective sleep quality, sleep time, time to fall asleep, total sleep time, and medication use. We also used JSS Turkish version (JSS-TR) to assess sleep quality and the Epworth Sleepiness Scale (ESS) for increased daytime sleepiness.

Results

Healthcare workers who participated in our survey reported that they started to go to bed later, fell asleep later (mean: 41.75 ± 35.35 min), their total sleep time (mean: 6.67 ± 1.88 h) was shortened, and they needed medication to sleep more (5.7%) after the COVID-19 pandemic. During the COVID-19 pandemic, bedtime behavior after 24:00 decreased from 80.1 to 43.9% of those who previously went to bed before 24:00. For those who went to bed after 24:00 before, it increased from 19.9 to 56.1%. In addition, sleep quality as assessed by subjective and JSS significantly deteriorated after the COVID-19 pandemic. Excessive daytime sleepiness increased. Those with ESS > 10 before and after COVID-19 were 3.9% and 14.1%, respectively (p < 0.001).

Conclusions

The COVID-19 pandemic has significantly adversely affected the sleep behavior and sleep quality of healthcare professionals. The JSS is an easily applicable scale for assessing sleep quality in large population studies.

Sleep quality and patterns of young West Balkan adults during the third wave of COVID-19 pandemic: a cross-sectional study

OBJECTIVES

To evaluate the sleep patterns among young West Balkan adults during the third wave of the COVID-19 pandemic.

DESIGN AND SETTING

Cross-sectional study conducted using an anonymous online questionnaire based on established sleep questionnaires Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) (February-August 2021).

PARTICIPANTS

Young adults of Bosnia and Herzegovina, Croatia and Serbia.

RESULTS

Of 1058 subjects, mean age was 28.19±9.29 years; majority were women (81.4%) and students (61.9%). Compared with before the pandemic, 528 subjects (49.9%) reported a change in sleeping patterns during the pandemic, with 47.3% subjects reporting sleeping less. Mean sleeping duration during the COVID-19 pandemic was 7.71±2.14 hours with median sleep latency of 20 (10.0-30.0) min. Only 91 (8.6%) subjects reported consuming sleeping medications. Of all, 574 (54.2%) subjects had ISI score >7, with majority (71.2%) having subthreshold insomnia, and 618 (58.4%) PSQI score ≥5, thus indicating poor sleep quality. Of 656 (62.0%) tested subjects, 464 (43.9%) were COVID-19 positive (both symptomatic and asymptomatic) who were 48.8%, next to women (70%), more likely to have insomnia symptoms; and 66.9% were more likely to have poor sleep quality. Subjects using sleep medication were 44 times, and subjects being positive to ISI 15.36 times more likely to have poor sleep quality. In contrast, being a student was a negative independent predictor for both insomnia symptoms and poor sleep quality, and mental labour and not working were negative independent predictors for insomnia symptoms.

CONCLUSIONS

During the third wave of the pandemic, sleep patterns were impaired in about half of young West Balkan adults, with COVID-19-positive subjects and being women as positive independent predictors and being a student as negative independent predictor of impaired sleep pattern. Due to its importance in long-term health outcomes, sleep quality in young adults, especially COVID-19-positive ones, should be thoroughly assessed.

Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures

This paper investigates the relationship between mindfulness and well-being within the context of compliance with prophylactic measures in the time of COVID-19. We conducted a large-scale survey among a representative sample of the French population. We measured mindfulness, using the Mindful Attention Awareness Scale, and the extent to which respondents were impacted by COVID-19 in terms of their mood and quality of sleep, as well as how they complied with prophylactic measures. Our results suggest that more mindful individuals were less negatively impacted by COVID-19 with regard to their sleep and mood. Concerning the prophylactic measures, we obtained mixed results: more mindful participants were more likely to respect lockdowns, physical distancing and to cough in their sleeves, but did not wash their hands, wear masks or avoid touching their face more often than less mindful individuals.

Sleep Quality of Covid-19 Recovered Patients in India

Objective:

The second wave of the Covid-19 pandemic in India was widespread and caused psychological distress among the citizens. Hospitals were running at a premium, increasing deaths and trepidation stories were on air by media, this generated sleep disturbances for many. This study aimed to examine the sleep quality of Covid-19 recovered patients in India during the second wave of the pandemic.

Methods:

Patients who had recently recovered from Covid-19 were invited to participate in this cross-sectional study using various social media platforms. An online survey questionnaire, including socio-demographics, health-related information, Covid-19 related information, and the Pittsburgh Sleep Quality Index (PSQI), was administered in June 2021. Descriptive statistics were used to compare the scores among the mild, moderate, and severe groups. ANOVA was used to find the difference between the groups for global PSQI scores.

Results:

A total of 311 participants (261 mild, 45 moderate, and 5 severe) provided usable responses. The Global PSQI score for the overall study sample was 8.22 ± 3.79. In the severe group, scores were higher 16.8 ± 2.59, and statistically significant from mild or moderate groups. Sleep quality of Covid-19 recovered patients was found to be statistically significantly different based on their gender (P < .001), annual income (P < .001), employment status (P < .001), and marital status (P < .001).

Conclusion:

Females, employment in the private sector, annual income below rupees 11 lakh, and unmarried Covid-19 recovered patients reported poor sleep quality. As our findings indicate poor sleep quality among the Covid-19 recovered patients during the second wave in India, designing psychological interventions is recommended to support their wellbeing post-recovery.

Sleep Dysfunction in COVID-19 Patients: Prevalence, Risk Factors, Mechanisms, and Management

During the COVID-19 pandemic, the need to establish the prevalence of sleep dysfunction and psychological distress, identify predisposing and protective factors, and explore effective management strategies remains an important priority. Evidence to date suggests that a considerable proportion of COVID-19 patients experience significant sleep disturbances (estimated to afflict up to 50-75%) as well as psychological distress such as depression, anxiety, and traumatic stress. Duration of hospitalization, pre-existing mental health concerns, lower absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio have been all associated with a greater risk of sleep dysfunction in infected and hospitalized patients. Furthermore, in this review, we discuss the link between sleep deprivation, susceptibility to viral infections, and psychosocial wellbeing in relevance to COVID-19 and summarize the existing evidence regarding the presence and role of sleep apnea in infected individuals. Finally, we highlight the importance of suitable interventions in order to prevent and manage sleep dysfunction and avoid long-term physical and psychological implications. Future research should aim to provide high-quality information including in high risk, underserved, or difficult to reach populations and on the long-term consequences and effectiveness of applied interventions.

Understanding the Impact of the COVID-19 Pandemic, Lockdowns and Social Isolation on Sleep Quality

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.