Nationally representative prevalence and determinants of post-acute sequelae of SARS-CoV-2 infection (Long COVID) amongst Mexican adults in 2022 (preprint)

OBJECTIVETo characterize the epidemiology of post-acute sequelae after SARS-CoV-2 infection (PASC) in Mexico during 2022 and identify potential predictors of PASC prevalence using nationally representative data. METHODSWe analyzed data from the 2022 Mexican National Health and Nutrition Survey (ENSANUT) totaling 24,434 participants, representing 85,521,661 adults [≥]20 years. PASC was defined using both the World Health Organization definition and a PASC score [≥]12. Estimates of PASC prevalence were stratified by age, sex, rural vs. urban setting, social lag quartiles, number of reinfections, vaccination status and by periods of predominance of SARS-CoV-2 circulating variants. Predictors of PASC were assessed using logistic regression models adjusted by survey weights. RESULTSPersistent symptoms after SARS-CoV-2 infection were reported by 12.44% (95%CI 11.89-12.99) of adults [≥]20 years in Mexico during 2022. The most common persistent symptoms were musculoskeletal pain, headache, cough, loss of smell or taste, fever, post-exertional malaise, brain fog, anxiety, chest pain, and sleep disorders. PASC was present in 21.21% (95%CI 7.71-9.65) subjects with previously diagnosed COVID-19. Over 28.6% patients with PASC reported symptoms persistence [≥]6 months and 14.05% reported incapacitating symptoms. Higher PASC prevalence was associated with SARS-CoV-2 reinfections, depressive symptoms and living in states with high social lag. PASC prevalence, particularly its more severe forms, decreased with COVID-19 vaccination and for infections during periods of Omicron variant predominance. CONCLUSIONSPASC implies a significant public health burden in Mexico as the COVID-19 pandemic transitions into endemicity. Promoting reinfection prevention and booster vaccination may be useful to reduce PASC burden.

The Role of VSL#3 in the Treatment of Fatigue and Other Symptoms in Long Covid-19 Syndrome: a Randomized, Double-blind, Placebo-controlled Pilot Study (DELong#3) (preprint)

Long COVID, also known as Post-acute COVID-19 Syndrome (PACS), is a chronic condition affecting individuals who have recovered from acute COVID-19. It is currently estimated that around 65 million people worldwide suffer from Long COVID. It is characterized by a range of symptoms, including fatigue, exertion intolerance, neurocognitive and sensory impairment, sleep disturbance, myalgia/arthralgia, and dysautonomia. Among them fatigue has emerged as a burdensome and pervasive issue, significantly impacting the quality of life and daily functioning of Long COVID patients. Alterations in the composition of the intestinal microbiota has been reported in COVID-19 patients. Dysbiosis persists even after several months of recovery from acute SARS-CoV-2 infection. Based on this evidence, we carried out a phase 3, randomized, double-blind, placebo-controlled trial aimed at evaluating the efficacy of VSL#3, a consortium of probiotic bacterial strains, in reducing fatigue and improving various aspects of patients' well-being in patients with Long COVID syndrome.

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.

Association between COVID-19 lockdown and sleep behaviors in Korean adolescents.

To find the effect of coronavirus disease 2019 (COVID-19)-related sleep behavior changes using school-based self-reported data from a nationally representative Korean adolescent population. We analyzed web-based self-reported data from the Korean Youth Risk Behavior Web-based Survey in 98,126 participants (51,651 in 2019 [before the COVID-19 pandemic]; 46,475 in 2020 [during COVID-19 pandemic] 12 through 18 years old were included in this study. Self-report questionnaires were used to assess socioeconomic status, health behaviors, psychological factors, and sleep patterns. During the COVID-19 pandemic, Korean adolescents had a later weekend bedtime (≥1:00 am: 68.2% vs 71.5%, P < .001) and late weekend wake time (≤7:00 am: 13.3% vs 10.7%, P < .001) compared to before COVID-19 pandemic. Average sleep duration (434.7 ± 102.6 vs 428.2 ± 100.4 minutes; P < .001) was significantly lower during the COVID-19 pandemic and weekend catch-up sleep >2 hours (42.1% vs 43.7%; P < .001), late chronotype (17.1% vs 22.9%, P < .001) were significantly higher during COVID-19 pandemic. After adjusting for multiple confounding variables, short sleep duration (≦5 hours, odds ratio [OR] 1.14; 95% confidence interval [CI] 1.10-1.19), 6 hours, OR 1.07; 95% CI 1.03-1.12), long weekend catch-up sleep (OR, 1.08; 95% CI, 1.06-1.11) and late chronotype (OR, 1.43; 95% CI, 1.38-1.47) were significantly associated with COVID-19 pandemic. The COVID-19 pandemic was associated with changes in sleep behavior among Korean adolescents, resulting in later bed and wake-up times, increased weekend catch-up sleep, and a shift of chronotype toward eveningness.

The comparison of the consultation-liaison in the psychiatry department of a general hospital before and after the outbreak of COVID-19 (preprint)

Objective: To compare the status of the consultation-liaison in the psychiatry department of inpatients in a general hospital before and after the outbreak of COVID-19.  Methods: 842 patients in a tertiary hospital during 2019 and 904 patients since the beginning of the epidemic in 2020 were enrolled in this study. Demographic data, departments that requested consultation, mental disorders, and the psychiatric treatments were retrospectively analyzed.  Results: Among the 1746 patients, most patients were 45 to 70 years old. The department of hematology received the most applications for consultation. In 2020, requests from the departments of cardiac and vascular surgeries, contrary to the emergency department, increased significantly. 32.6% patients were diagnosed with organic mental disorder. Delirium was the most common disorder, followed by anxiety and depression. After the COVID-19 outbreak in 2020, the stress-associated and sleep disorders increased.  Conclusions: In general hospitals, clinical departments have great demands forpsychiatric consultation.Since the pandemic, patients requiring consultations for stress-related disorders and sleep disorders increased. Moreover, patients with cardiac and major vascular surgeries suffering from mental and emotional disturbances also increased. The ability of non-psychiatrists in identifying and treating mental disorders and the awareness of biopsychosocial (BPS) models need to be improved.

Proteomic landscape of astrocytes and pericytes infected with HIV/SARS-CoV-2 mono/co-infection, impacting on neurological complications (preprint)

Background Although most individuals recover from coronavirus disease 2019 (COVID-19) within a few weeks, some people continue to experience a wide range of symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) or long COVID. Majority of patients with PASC develop neurological disorders like brain fog, fatigue, mood swings, sleep disorders, loss of smell and test among others collectively called neuro-PASC. While the people living with HIV (PWH) do not have a higher risk of developing severe disease and mortality/morbidity due to COVID-19. As a large section of PWH suffered from HIV-associated neurocognitive disorders (HAND), it is essential to understand the impact of neuro-PASC on people with HAND. In pursuit of this, we infected HIV/SARS-CoV-2 alone or together in primary human astrocytes and pericytes and performed proteomics to understand the impact of co-infection in the central nervous system.Methods Primary human astrocytes and pericytes were infected with SARS-CoV-2 or HIV or HIV + SARS-CoV-2. The concentration of HIV and SARS-CoV-2 genomic RNA in the culture supernatant was quantified using reverse transcriptase quantitative real time polymerase chain reaction (RT-qPCR). This was followed by a quantitative proteomics analysis of mock, HIV, SARS-CoV-2, and HIV + SARS-CoV-2 infected astrocytes and pericytes to understand the impact of the virus in CNS cell types.Results Both healthy and HIV-infected astrocytes and pericytes support abortive/low level of SARS-CoV-2 replication. In both mono-infected and co-infected cells, we observe a modest increase in the expression of SARS-CoV-2 host cell entry factors (ACE2, TMPRSS2, NRP1, and TRIM28) and inflammatory mediators (IL-6, TNF-α, IL-1β and IL-18). Quantitative proteomic analysis has identified uniquely regulated pathways in mock vs SARS-CoV-2, mock vs HIV + SARS-CoV-2, and HIV vs HIV + SARS-CoV-2 infected astrocytes and pericytes. The gene set enrichment analysis revealed that the top ten enriched pathways are linked to several neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis.Conclusions Our study emphasizes the significance of long-term monitoring of patients co-infected with HIV and SARS-CoV-2 to detect and understand the development of neurological abnormalities. By unraveling the molecular mechanisms involved, we can identify potential targets for future therapeutic interventions.

Association between sleep and seroconversion after vaccination with inactivated SARS-CoV-2 in pregnant women (preprint)

To assess the association between sleep and seroconversion after receipt of two doses of inactivated severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) vaccines in pregnant women. The serum level of immunoglobulin (Ig)G antibodies against the nucleic acids of SARS-CoV-2 was measured. Logistic regression was used to analyze the association between sleep and seroconversion. After two doses of SARS-CoV-2 vaccine, 41.2% of the study cohort reached seroconversion. Analysis revealed that pregnant women with poor quality of sleep had a lower serum level of IgG antibodies (P = 0.008, 95%CI = 0.285-0.826) and that sleeping late at night (SLaN) may be a risk factor for a low serum level of IgG antibodies (P = 0.025, 95%CI = 0.436-0.946). Besides sleep, age and the time since vaccination were important influences on seroconversion. A stratified analysis revealed that the effects of sleep quality and SLaN on seroconversion occurred mainly in pregnant women aged <35 years. Thus, sleep quality and SLaN can affect the serum level of IgG antibodies in pregnant women after vaccination with inactivated SARS-CoV-2.

Dispositional mindfulness and fatigue in Chinese nurses during the COVID-19 pandemic: a possible mediating role of sleep quality (preprint)

Purpose: During the COVID-19 epidemicin China, clinical nurses are at an elevated risk of suffering fatigue. This research sought to investigate the correlation between dispositional mindfulness and fatigue among nurses, as well as the potential mediation role of sleep quality in this relationship. Methods: This online cross-sectional survey of nurses was performed from August to September 2022 after the re-emergence of COVID-19 in China. The Mindful Attention Awareness Scale (MAAS), 14-item Fatigue Scale (FS-14), and Pittsburgh Sleep Quality Index (PSQI) were employed to assess the levels of dispositional mindfulness, fatigue, and sleep quality, respectively. The significance of the mediation effect was determined through a bootstrap approach with SPSS PROCESS macro. Results: A total of 2143 nurses completed the survey. Higher levels of dispositional mindfulness were significantly negatively related to fatigue (r = -0.518, P < 0.001) and sleep disturbance (r = -0.344, P < 0.001). Besides, there was a positive relationship between insufficient sleep and fatigue (r = 0.547, P < 0.001). Analyses of mediation revealed that sleep quality partly mediated the correlation between dispositional mindfulness and fatigue (β= -0.551, 95% Confidence Interval = [-0.630, -0.474]). Conclusions: Chinese nurses' dispositional awareness was related to the reduction of fatigue during the COVID-19 pandemic, and this relationship indirectly operates through sleep quality. Intervention strategies and measures should be adapted to improve dispositional mindfulness and sleep quality to reduce fatigue in nurses during the pandemic.

"Please Don't Forget Us": A Descriptive Qualitative Study of Caregivers of Older Adults With Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic.

The current descriptive qualitative study explored the perceived impact of the coronavirus disease 2019 pandemic on sleep disturbances and nighttime agitation; the reported use of antipsychotics and other sedating medications; and the overall well-being of older adults with Alzheimer's disease and related dementias (ADRD) and their caregivers. One investigator conducted in-depth, phone interviews with caregivers of nursing home residents with ADRD (four family caregivers [FCs], three nurse practitioners [NPs]) and seven FCs of older adults with ADRD who lived with them at home. Caregivers described multiple sleep disturbances. Nighttime agitation symptoms were perceived to continue or worsen, and sedating medications and nonpharmacological interventions were required. Adverse impacts on reported well-being were significant, and impacts were grouped into emotional, social, and physical themes. Caregivers said, "Please don't forget us," and requested telehealth support for those at home and technology and human resources for nursing homes to reduce adverse impacts. [Research in Gerontological Nursing, 15(5), 217-228.].

Sleep quality among inpatients of Spanish public hospitals.

Sleep is a complex process and is needed both in health and illness. Deprivation of sleep is known to have multiple negative physiological effects on people's bodies and minds. Despite the awareness of these harmful effects, previous studies have shown that sleep is poor among hospitalised patients. We utilized an observational design with 343 patients recruited from medical and surgical units in 12 hospitals located in nine Spanish regions. Sociodemographic and clinical characteristics of patients were collected. Sleep quality at admission and during hospitalisation was measured by the Pittsburgh Sleep Quality Index. Sleep quantity was self-reported by patients in hours and minutes. Mean PSQI score before and during hospitalisation were respectively 8.62 ± 4.49 and 11.31 ± 4.04. Also, inpatients slept about an hour less during their hospital stay. Lower educational level, sedative medication intake, and multi-morbidity was shown to be associated with poorer sleep quality during hospitalisation. A higher level of habitual physical activity has shown to correlate positively with sleep quality in hospital. Our study showed poor sleep quality and quantity of inpatients and a drastic deterioration of sleep in hospital versus at home. These results may be helpful in drawing attention to patients' sleep in hospitals and encouraging interventions to improve sleep.

An Intelligent-Based System for Detecting Depression on Social Media Platform (preprint)

Purpose: The global quarantine measures implemented in response to the coronavirus outbreak have resulted in a surge of psychiatric issues, including but not limited to depressive symptoms, anxiety, and sleep disturbances, which have placed a significant burden on healthcare systems worldwide. The most efficacious prevention strategy for depression is the identification of its early warning symptoms. In recent times, the healthcare sector has increasingly embraced a technology-oriented strategy. The examination of social media content possesses the capability to significantly reduce the incidence of depression and, consequently, the number of suicides.  Methods: The present study introduces a computational method to detect social media users who exhibit symptoms of depression. The intelligent framework employs machine learning techniques to identify text in social media posts that pertain to depression. In this study, three distinct machine learning models, namely the bidirectional encoder representations from Transformers (BERT), the long short-term memory (LSTM), and the convolutional neural network (CNN) were subjected to 1 Springer Nature 2021 L A T E X template Article Title pre-processing and pre-training using data sets obtained from the Twitter API and the Reddit database. The ultimate goal of this study is to accurately distinguish between depressive and non-depressive content.  Results: According to the empirical analysis, the BERT model demonstrated a 92.4% accuracy rate and achieved the most optimal validation loss during the third epoch. Moreover, in comparison to the CNN and LSTM models, the BERT model exhibited greater efficiency across all performance indicators.  Conclusion: The BERT model performed exceptionally well in both text categorization and feature extraction when compared to the other pre-training models utilized in this investigation. The BERT model has been refined by the identification of these unique characteristics, making it better suited to the task of identifying depressive-related information in digital documents and social media posts.

Long-Term Effects of COVID-19 on Sleep Patterns (preprint)

Objectives: To examine the long term impact of COVID-19 on sleep patterns and development of sleep disorders. Methods: Using the centralized Massachusetts General Brigham (MGB) Research Patient Data Registry (RPDR), SARS-CoV2 positive patients were surveyed about their sleep patterns before and after the viral infection. Information related to co-morbid conditions and medications were obtained through chart review. Results: Two hundred and forty five completed surverys were analysed. Average age was 53.3 ± 16.3 years, and participants were predominantly Non-Hispanic White (84.1%) and female (74.3%). Average BMI (kg/m2) was 29.9 ± 6.9, and a greater proportion was non-smokers (63.2%). After COVID-19, there was an increase in the percentage of participants reporting difficulty initiating (31 ± 46% vs. 39 ± 49%, P=0.01), and maintaining sleep (43 ± 49% vs. 57 ± 49%, P<0.001), and use of sleep aids (24 ± 43% vs. 30 ± 45% P=0.003) with an incidence rate of 24.3%, 37.4%, and 12.3% respectively. In addition, there was an increase in daytime fatigue and the need for napping (58 ± 49% vs. 36 ± 48%, P <0.0001) with an incidence of 8% and 23% respectively. The sleep symptoms persisted beyond 12 months among 28% of the participants and were predominantly seen among women. Conclusions: Infection with SARS-CoV2 has negative effects on sleep, and a significant proportion of adults experience insomnia and daytime sleepiness beyond 12 months after recovering from the initial infection.

Sleep and day-to-day PTSD symptom variability: an ecological momentary assessment and actigraphy monitored study in trauma-exposed young adults.

BACKGROUND: Disrupted sleep and post-traumatic stress disorder (PTSD) are bi-directionally linked and have been found to mutually reinforce each other on a day-to-day basis. However, most of the previous research has focused on subjective measures of sleep only. OBJECTIVE: Here, we investigated the temporal relationship between sleep and PTSD symptoms using both subjective (sleep diary) and objective measures of sleep (actigraphy). METHODS: Forty-one non-treatment seeking, trauma exposed young adults (age M = 24.68, SD = 8.15) with a range of PTSD symptom severities (PTSS, 0-53 on PCL-5) were recruited. Participants completed two surveys per day over four weeks to measure day-time PTSD symptoms (i.e. PTSS and number of intrusions) and night-time sleep subjectively, while wearing an actigraphy watch to measure sleep objectively. RESULTS: Linear mixed models revealed that subjectively reported sleep disruptions were associated with elevated next-day PTSS and increasing number of intrusive memories both within and between participants. Similar results were found for daytime PTSD symptoms on night-time sleep. However, these associations were not found using objective sleep data. Exploratory moderator analyses including sex (male vs. female) found that these associations differed in strength between sexes but were generally in the same direction. DISCUSSION: These results were in line with our hypothesis with regards to the sleep diary (subjective sleep), but not actigraphy (objective sleep). Several factors which have implications on both PTSD and sleep, such as the COVID-19 pandemic and/ or sleep-state misperception, may be potential reasons behind those discrepancies. However, this study had limited power and needs to be replicated in larger samples. Nonetheless, these results add to the current literature about the bi-directional relationship between sleep and PTSD and have clinical implications for treatment strategies.

Elevated day-time PTSD symptom severity (PTSS) and more frequent intrusive memories were generally associated with subjectively reported disruptions in sleep and vice versa, but not with objective measures of sleep.While longer subjective sleep duration predicted reductions in PTSS and shorter sleep onset latency predicted reduced numbers of intrusions the next day, reduced daytime PTSS was only associated with reductions in distress associated with nightmares during the following night.Exploratory analyses showed that sex (men vs. women) moderated the bi-directional relationships between night-time sleep and day-time PTSD symptoms with longer sleep onset latency and lower sleep efficiency being related to worse PTSD symptoms the next day in women, but was not associated with men.

Screen exposure and sleep: How the COVID-19 pandemic influenced children and adolescents - A questionnaire-based study.

BACKGROUND: COVID-19 pandemic has drastically increased the exposure to electronic devices in children, influencing their lifestyle and their sleep. This study was conducted to explore the relationship between the augmented screen exposure and sleep habits in children during and after the pandemic. METHODS: Using the "Google Forms" tool, we created an online questionnaire addressed to parents of children and adolescents aged 2-18 years. We explored the use of screens before and during/after the lockdown and assessed the presence of sleep disturbances through the Sleep Disturbance Scale for Children (SDSC), referring to the period before and during/after COVID-19 pandemic. RESULTS: We collected 1084 valid questionnaires (median age 8.5 ± 4.1 years). We observed a significant increase in screens exposure for school (72%) and for leisure (49.7%) during the pandemic. We reported an increased sleep disturbances prevalence from 22.1% before the pandemic to 33.9% during the outbreak (p < 0.001). Even before the pandemic, the highest risks for sleep disorders were related to daily screen time for school reasons (OR 1.65, p < 0.001) and total screen time after 6 p.m. (OR 1.59, p < 0.001). The augmented exposure to screens for any reasons during the pandemic was significantly related to an increase of sleep disorders, especially regarding the increased exposure after 6 p.m. (OR 1.67, p < 0.001). CONCLUSIONS: The augmented use of electronic devices was recognized to be a significant predisposing factor in increasing the rate of sleep disorders during and after the pandemic, thus sleep hygiene recommendations should be highlighted to improve sleep habits.

Longitudinal association between problematic smartphone use and sleep disorder among Chinese college students during the COVID-19 pandemic.

BACKGROUND: Problematic smartphone use (PSU) and sleep disorders (SD) are common public health problems among college students. While previous cross-sectional studies have found a relationship between PSU and SD, the causal direction of this relationship remains unclear. This study aims to examine the longitudinal changes of PSU and SD during the COVID-19 pandemic, determine the causal relationship between them, and identify confounding factors that affect this association. METHODS: The study sample consisted of 1186 Chinese college students (47.7% male) with a mean age of 18.08 years. Participants completed the Smartphone Addiction Scale - Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) at both baseline and follow-up surveys, conducted one year apart. The cross-lagged panel model (CLPM) was used to examine the causal relationship between PSU and SD, stratified by gender and duration of daily physical activity. The fixed effect panel regression was used to confirm the findings of CLPM. RESULTS: The results of the CLPM analysis showed a significant bidirectional relationship between PSU and SD for the overall sample, which was consistent with the fixed effects model findings. However, subgroup analyses revealed that the bidirectional association disappeared among males or those who engaged in daily physical activity for more than 1 h. CONCLUSIONS: Our study shows a significant bidirectional association between PSU and SD, with variations across gender and daily physical activity levels. Encouraging physical activity may serve as a potential intervention to disrupt the bidirectional association between PSU and SD, which has important implications for public health strategies aimed at reducing the negative consequences of PSU and SD.

Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis.

Background: Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis. Methods: A cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma. Results: Among the participants, three profiles of perceived stigma were identified: "low perceived COVID-19 stigma" (12.8%), "moderate perceived COVID-19 stigma" (51.1%), and "severe perceived COVID-19 stigma" (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20. Conclusion: The study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD.

The impact of the COVID-19 pandemic on neuropsychiatric and sleep disorders, and quality of life in individuals with neurodegenerative and demyelinating diseases: a systematic review and meta-analysis of observational studies.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has affected the mental health, sleep and quality of life, especially in individuals with chronic disease. Therefore, the purpose of this systematic review and meta-analysis was to investigate the impact of the COVID-19 pandemic on neuropsychiatric disorders (depression, anxiety, stress), sleep disorders (sleep quality, insomnia) and quality of life in individuals with Parkinson's disease (PD), Multiple Sclerosis (MS) and Alzheimer's disease (AD) compared to healthy controls. METHODS: Seven databases (Medline, Embase, ScienceDirect, Web of Science, The Cochrane Library, Scielo and Lilacs) were searched between March 2020 and December 2022. Observational studies (i.e., cross-sectional, case-control, cohort) were included. GRADE approach was used to assess the quality of evidence and strength of the recommendation. Effect size was calculated using standardized mean differences (SMD; random effects model). A customized Downs and Black checklist was used to assess the risk of bias. RESULTS: Eighteen studies (PD = 7, MS = 11) were included. A total of 627 individuals with PD (healthy controls = 857) and 3923 individuals with MS (healthy controls = 2432) were analyzed. Twelve studies (PD = 4, MS = 8) were included in the meta-analysis. Individuals with PD had significantly elevated levels of depression (very low evidence, SMD = 0.40, p = 0.04) and stress (very low evidence, SMD = 0.60, p < 0.0001). There was no difference in anxiety (p = 0.08). Individuals with MS had significantly higher levels of depression (very low evidence, SMD = 0.73, p = 0.007) and stress (low evidence, SMD = 0.69, p = 0.03) and low quality of life (very low evidence, SMD = 0.77, p = 0.006). There was no difference in anxiety (p = 0.05) and sleep quality (p = 0.13). It was not possible to synthesize evidence in individuals with AD and sleep disorder (insomnia). CONCLUSION: In general, the COVID-19 pandemic negatively impacted individuals with PD and MS. Individuals with PD showed significantly higher levels of depression and stress; and individuals with MS presented significantly higher depression and stress levels, as well as significantly lower quality of life when compared to healthy controls. Further studies are needed to investigate the impact of the COVID-19 pandemic in individuals with AD.

Sleep hygiene and sleep quality in Iranian adolescents during the COVID-19 pandemic.

OBJECTIVES: Sleep is one of the issues that attracted the attention of researchers during the COVID-19 pandemic. Researchers focused their studies on the prevalence of sleep disorders, sleep quality, and sleep duration. Sleep hygiene is a set of guidelines that play an important role in the sleep quality, the present study sought to evaluate the amount of sleep hygiene and sleep quality in Iranian adolescents and their relationship during the COVID-19 pandemic. METHODS: The present study was conducted using a cross-sectional design. The research population consisted of all adolescents living in Kermanshah (western Iran) in 2021. The participants were a sample of 610 adolescents. They completed the Pittsburgh Sleep Quality Inventory and Adolescent Sleep Hygiene Scale. RESULTS: The mean sleep quality score for the participants was 7.14 ± 2.47, indicating the high frequency of sleep problems affecting the participants. There were significant correlations between all components of sleep hygiene and sleep quality. There was also a significant correlation (r = - 0.46 between sleep hygiene and sleep quality (p < 0.001). No significant difference was observed in sleep hygiene and sleep quality between the male and female adolescents. The results showed that sleep hygiene subscales can predict sleep quality (R = 0.53, F = 39.20, p < .01). CONCLUSIONS: The data in this study confirmed the poor observance of sleep hygiene in adolescents during the COVID-19 pandemic and reported frequent sleep problems among the participants. The results also indicated a moderate relationship between sleep hygiene and sleep quality in adolescents. Thus, sleep hygiene components can be related to sleep quality.

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.