The effect of the COVID-19 pandemic on perimenopausal symptoms

Aim: Menopause is the period of transition from the era of female reproduction to the period of loss of reproductive ability associated with the regression of ovarian functions. Perimenopause period is;It covers premenopausal (2 years before menopause) and menopausal (first 2 years after menopause). The aim of this study was to investigate the effect of the COVID-19 pandemic on menopause symptoms of women who contracted COVID-19 infection during the perimenopausal period when they were more sensitive psychosocially to the pandemic restrictions. Material and method: The study included 103 women aged 45-55 years, who presented at the Gynaecology and Obstetrics Clinic of Turhal State Hospital because of menopause symptoms between June 2021 and August 2021. The women were separated into 2 groups as 32 women who had contracted COVID-19 infection during the previous 6 months and recovered, and 71 women who had not had COVID-19. The groups were compared in respect of age, gravida, parity, body weight, menopause status, and not taking regular exercise using the Menopause Symptom Evaluation Scale. Results: Menopause status (p=0.002), not taking regular exercise (p<0.001), sleep problems (p=0.002), hot flashes (p<0.001), anxiety (p<0.001), and joint-muscle complaints (p=0.002) were determined at statistically significantly higher rates in the COVID-19 group compared to the non-COVID-19 group. Conclusion: The status of not taking regular exercise, thought to be associated with the COVID-19 pandemic restrictions, was observed to increase menopause symptoms. Hot flashes, anxiety and sleep problems in particular were found to be significant complaints in menopausal patients who had been infected with COVID-19. It must be taken into consideration that these could be associated with previous COVID-19 infection. © 2022, Pamukkale University. All rights reserved.

Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study

Background. Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms among Chinese nurses via machine learning (ML). Aim. To predict nurses' depressive symptoms and identify the relevant factors by machine learning (ML) algorithms. Methods. A self-administered smartphone questionnaire was delivered to nurses to evaluate their depressive symptoms;1,431 questionnaires and 28 internal and external features were collected. In the training set, the use of maximum relevance minimum redundancy ranked the features' importance. Five ML algorithms were used to establish models to identify nurses' depressive symptoms using different feature subsets, and the area under the curve (AUC) determined the optimal feature subset. Demographic characteristics were added to the optimal feature subset to establish the combined models. Each model's performance was evaluated using the test set. Results. The prevalence rate of depressive symptoms among Chinese nurses was 31.86%. The optimal feature subset comprised of sleep disturbance, chronic fatigue, physical fatigue, exhaustion, and perceived organisation support. The five models based on the optimal feature subset had good prediction performance on the test set (AUC: 0.871–0.895 and accuracy: 0.798–0.815). After adding the significant demographic characteristics, the performance of the five combined models slightly improved;the AUC and accuracy increased to 0.904 and 0.826 on the test set, respectively. The logistic regression analysis results showed the best and most stable performance while the univariate analysis results showed that external and internal personal features (AUC: 0.739–0.841) were more effective than demographic characteristics (AUC: 0.572–0.588) for predicting nurses' depressive symptoms. Conclusions. ML could effectively predict nurses' depressive symptoms. Interventions to manage physical fatigue, sleep disorders, burnout, and organisational support may prevent depressive symptoms.

Insomnia among community members in Florida: Associations with demographics, health conditions, and social support.

Objectives: To identify associations between demographics, social determinants of health, health conditions, and reported history of insomnia. A cross-sectional study including 11,960 adult community members recruited through HealthStreet, a community outreach program at University of Florida. Methods: Health assessments were conducted via interviews. Participants reported their demographic background, level of social support, history of health conditions, and insomnia. Logistic regression was used to understand associations between risk factors and history of insomnia. Results: The prevalence of self-reported insomnia was 27.3%. Adults aged ≥ 65 years (OR = 1.16) and women (OR = 1.18) reported higher rates of insomnia than their counterparts. Black/African American individuals reported lower rates of insomnia (OR = 0.72) than White individuals. Individuals with food insecurity (OR = 1.53), a military history (OR = 1.30), lower social support (OR = 1.24), living alone (OR = 1.14), anxiety (OR = 2.33), cardiometabolic disease (OR = 1.58), and attention-deficit hyperactivity disorder (ADHD) (OR = 1.44) were significantly more likely to endorse insomnia compared with their counterparts. Depression (OR = 2.57) had the strongest association with insomnia. Conclusions: This study provides evidence regarding who is at greater risk for insomnia among a large community-based sample. Our findings highlight the importance of screening for insomnia, particularly among patients who experience food insecurity, are military veterans, have anxiety, depression, ADHD, or cardiometabolic disease, as well as those who live alone or have lower levels of social support. Future public health campaigns should provide education on insomnia symptoms, treatments, and evidenced-based sleep-promotion strategies.

Insomnia, distress tolerance, and mental health during the COVID-19 pandemic

Mental health problems, which are associated with sleep difficulties during stressful events, have increased during the coronavirus (COVID-19) pandemic. Insomnia is an important sleep phenomenon that predicts development of depressive and anxiety disorders, though mechanisms explaining this relationship remain unclear. Distress tolerance, the ability to withstand aversive affective experiences, is a transdiagnostic construct that may influence this relationship. It was hypothesized that greater psychological distress would predict more severe insomnia. Further, it was hypothesized that more severe insomnia and poorer distress tolerance would be associated with greater depression and anxiety. Depressive and anxiety symptoms were hypothesized to predict diagnoses of Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD). Lastly, distress tolerance was hypothesized to mediate the relationship between insomnia and diagnosis of MDD and GAD. Data were obtained from a prospective observational study with three nested samples. The first sample was 5,547 college students who completed a survey study in March-April 2020, the second was 615 college students who completed a survey study in September-October 2020, and the final sample was 100 college students recruited for a clinical interview study between October 2020 and April 2021. Measures included the Kessler Screening Scale for Psychological Distress, Insomnia Severity Index, Distress Tolerance Scale, Patient Health Questionnaire-9, PROMIS Emotional Distress Short Form -- Anxiety, and the Structured Clinical Interview for DSM-5 Disorders. Greater psychological distress predicted more severe insomnia (beta = .29, p < .001). Greater insomnia severity (beta = .49, p < .001) and poorer distress tolerance (beta = .15, p < .001) predicted higher levels of depression but not anxiety. Anxiety symptoms predicted diagnosis of MDD, while both depressive and anxiety symptoms predicted diagnosis of GAD. Distress tolerance did not mediate the relationship between insomnia and diagnosis of MDD or GAD. Longitudinal studies are needed to further clarify the course of insomnia, distress tolerance, and mental health diagnoses, and to explore distress tolerance as a moderating variable. These results imply that it could be beneficial for healthcare providers to treat insomnia when comorbid with depression, which may improve depressed mood more so than improving distress tolerance, though intervention studies are needed. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The role of social support on the relationships between internet use and sleep problems in adolescents during COVID-19 pandemic: a multicentre study.

BACKGROUND: This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems. METHODS: This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality. RESULTS: It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems. CONCLUSIONS: Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.

Association between quarantine and sleep disturbance in Hong Kong adults: The mediating role of COVID-19 mental impact and distress.

Background: COVID-19 quarantine has been associated with increased sleep problems and prolonged psychological responses to the pandemic could mediate this relationship. The present study attempted to examine the mediating role of COVID-19 mental impact and distress between quarantine and sleep disturbance. Methods: The present study recruited 438 adults (109 with quarantine experience) in Hong Kong via an online survey between August and October 2021. The respondents completed a self-report questionnaire on quarantine, Mental Impact and Distress Scale: COVID-19 (MIDc), and Pittsburgh Sleep Quality Index (PSQI). The MIDc was treated as a latent mediator and continuous PSQI factor and poor sleep quality (PSQI score > 5) were the study outcomes. We evaluated the direct and indirect effects of quarantine on sleep disturbance via MIDc using structural equation modeling. Analyses were adjusted for gender, age, education level, knowing confirmed COVID-19 cases, COVID-19 frontline work, and primary income source of the family. Results: More than half (62.8%) of the sample reported poor sleep quality. Quarantine was associated with significantly higher levels of MIDc and sleep disturbance (Cohen d = 0.23 - 0.43, p < 0.05). In the structural equation model, the MIDc mediated the relationship between quarantine and sleep disturbance (αß = 0.152, 95% CI = 0.071 to 0.235). Quarantine significantly increased the proportion of poor sleep quality by 10.7% (95% CI = 0.050 to 0.171) indirectly via MIDc. Conclusions: The results provide empirical support to the mediating role of the MIDc as psychological responses in the relationship between quarantine and sleep disturbance.

Examining the prevalence and health impairment associated with subthreshold PTSD symptoms (PTSS) among frontline healthcare workers during the COVID-19 pandemic.

The COVID-19 pandemic has increased healthcare workers' (HCWs) risk for posttraumatic stress disorder (PTSD). Although subthreshold PTSD symptoms (PTSS) are common and increase vulnerability for health impairments, they have received little attention. We examined the prevalence of subthreshold PTSS and their relationship to physical health symptoms and sleep problems among HCWs during the pandemic's second wave (01/21-02/21). Participants (N = 852; 63.1% male; Mage = 38.34) completed the Short-Form PTSD Checklist (SF-PCL), the Cohen-Hoberman Inventory of Physical Symptoms, and the PROMIS Sleep-Related Impairment-Short-Form 4a. We created three groups with the SF-PCL: scores ≥11 = probable PTSD (5.5%); scores between 1 and 10 = subthreshold PTSS (55.3%); scores of 0 = no PTSS (39.2%). After controlling for demographics, occupational characteristics, and COVID-19 status, HCWs with subthreshold PTSS experienced greater physical health symptoms and sleep problems than HCWs with no PTSS. While HCWs with PTSD reported the greatest health impairment, HCWs with subthreshold PTSS reported 88% more physical health symptoms and 36% more sleep problems than HCWs with no PTSS. Subthreshold PTSS are common and increase risk for health impairment. Interventions addressing HCWs' mental health in response to the COVID-19 pandemic must include subthreshold PTSS to ensure their effectiveness.

Longitudinal associations between pandemic post-traumatic stress symptoms and subsequent non-suicidal self-injury in adolescents: A multiple mediation model.

BACKGROUNDS: PTSD is one of the most common conditions after people have experienced trauma. While previous studies have found a link between PTSD and non-suicidal self-injury, (NSSI), few studies have longitudinally explored this relationship and the underlying mechanisms. AIMS: This study explored adolescent NSSI frequency after COVID-19 lockdown experiences, the relationship with early PTSD symptoms, and the mediating role of depression and sleep problems. METHODS: A cohort of 1609 adolescents completed two surveys during and after the national lockdown in China; one month into the lockdown and six months later; which assessed demographic and pandemic-related exposure variables; PTSD, depression, sleep, and NSSI. Mediation analyses and hierarchical regression were employed to examine the relationships and the paths between these variables. RESULTS: The NSSI rate was found to be 31.9 % after the three-month lockdown, with 20.6 % of adolescent participants reporting sleeping disorders, and 33.9 % indicating probable depression. Adolescents who had earlier PTSD symptoms, often smoked and/or drank, and had current depression and sleep disorders reported greater NSSI. Early PTSD symptoms were found to predict later NSSI and were mediated by sleep problems and depressive symptoms. Specifically, PTSD avoidance and numbing symptoms were significantly associated with NSSI above and beyond the depressive symptoms, sleeping problems, and the other covariables. CONCLUSION: It is necessary to be vigilant about the increased risk of NSSI in adolescents who have experienced extended pandemic lockdowns. Preventing early adolescent PTSD symptoms, especially avoidance and numbness, and helping teenagers quit smoking and drinking could reduce the risk of sleep disorders, depression, and NSSI.

Stress reactivity in salivary cortisol and electrocardiogram in adolescents: Investigating sleep disturbances and insomnia.

This study examined the role of sleep disturbances and insomnia in the context of stress reactivity in adolescence. One-hundred and thirty-five 11-18 year olds (Mage  = 14.2 years, SD = 1.9, 52% female) completed the Trier Social Stress Test for Children. Salivary cortisol and subjective stress ratings were collected at six time points, and heart rate as well as heart rate variability were measured pre-, during and post-stress induction. Additionally, sleep disturbances and insomnia diagnosis were assessed by a self-report questionnaire and a sleep interview. Robust mixed models investigated if adolescents with compared with adolescents without (a) sleep disturbances and (b) insomnia differ regarding cortisol, heart rate, heart rate variability and psychological stress reactivity considering gender effects. The results indicated that boys with high sleep disturbances showed higher cortisol activity compared with boys with low sleep disturbances, B = 0.88, p < 0.05. Moreover, in boys with insomnia, heart rate and alpha 1 significantly differ less than in boys without insomnia. These findings support the notion of sex differences regarding the association between poor sleep and increased activity of the hypothalamic-pituitary-adrenal axis, and a less adaptable autonomic nervous system in boys in response to an experimental social stress task.

Healthcare workers' heterogeneous mental-health responses to prolonging COVID-19 pandemic: a full year of monthly follow up in Finland.

BACKGROUND: The COVID-19 pandemic strained healthcare workers but the individual challenges varied in relation to actual work and changes in work. We investigated changes in healthcare workers' mental health under prolonging COVID-19 pandemic conditions, and heterogeneity in the mental-health trajectories. METHODS: A monthly survey over a full year was conducted for employees of the HUS Helsinki University Hospital (n = 4804) between 4th June 2020 to 28th May 2021. Pandemic-related potentially traumatic events (PTEs), work characteristics (e.g., contact to COVID-19 patients), local COVID-19 incidence, and demographic covariates were used to predict Mental Health Index-5 (MHI-5) and Insomnia Severity Index (ISI) in generalized multilevel and latent-class mixed model regressions. RESULTS: Local COVID-19 log-incidence (odds ratio, OR = 1.21, with 95% CI = 1.10-1.60), directly caring for COVID-19 patients (OR = 1.33, CI = 1.10-1.60) and PTEs (OR = 4.57, CI = 3.85-5.43) were all independently associated with psychological distress, when (additionally) adjusting for age, sex, profession, and calendar time. Effects of COVID-19 incidence on mental health were dissociable from calendar time (i.e., evolved in time) whereas those on sleep were not. Latent mental-health trajectories were characterized by a large class of "stable mental health" (62% of employees) and minority classes for "early shock, improving" (14%) and "early resilience, deteriorating" mental health (24%). The minority classes, especially "early shock, improving", were more likely to live alone and be exposed to PTEs than the others. CONCLUSIONS: Healthcare workers faced changing and heterogeneous mental-health challenges as the COVID-19 pandemic prolonged. Adversity and mental ill-being may have accumulated in some employees, and factors like living arrangements may have played a role. Knowledge on employees' demographic and socioeconomic background, as well as further research on the factors affecting employees' resilience, may help in maintaining healthy and efficient workforce in the face of a prolonging pandemic.

A Mental Health Survey of Medical Professionals Working During the COVID-19 Pandemic at Shaukat Khanum Cancer Hospital, Lahore.

Introduction The last months of 2019 saw the emergence of a novel coronavirus, SARS-COV-2, capable of causing widespread disease in humans. The rapid spread of this new disease culminated in one of the biggest pandemics in known history. The far-reaching social, economical, and health effects of this pandemic are still unfolding on a global scale. Given the interconnectedness of social, environmental, and biological factors in manifesting psychiatric illnesses, it is fair to assume that the profound effects of this pandemic would likely increase the strain on mental healthcare systems.  The objective of this study was to assess the mental health burden amongst healthcare workers at Shaukat Khanum Memorial Cancer Hospital and Research Center (SKMCH & RC) at the start of the COVID-19 pandemic and to identify any differences in the mental health scores of anxiety, depression, and sleep disturbance for professionals directly involved in the care of COVID-19 patients as compared to those who were not. Material and methods This was an observational cross-sectional clinical study that used self-reported questionnaires after approval from the hospital's ethical board. The sample size was calculated based on a study published previously by Huang using a 23.04% incidence of anxiety in medical staff. Depression was quantified using the Patient Health Questionnaire-9 score (PHQ-9), anxiety by the Beck Anxiety Inventory, and sleep quality using the Pittsburgh Sleep Quality Index checklist (PSQI). A total of 221 healthcare workers who completed the questionnaires were included in the study and the results were analyzed using SPSS Statistics v. 23 (IBM Corp., Armonk, NY). Levene's test was used to assess the equality of variances, and an independent sample t-test and chi-square test were applied for the comparison of means. A one-way ANOVA test was used to compare means across more than two groups. Results Of the 221 healthcare workers recruited in the study, 57% were males, and 43% were females. Among the sample, 43% of participants were doctors, 27.1% were nurses, and others were technicians and medical assistants. It was observed that 50% of males and 36% of female healthcare workers experienced moderate to severe depression at the onset of the pandemic. Furthermore, 35% of males and 25% of females suffered from moderate to severe anxiety, and more than 80% of our study population reported poor quality of sleep. Conclusion The present study reported a high prevalence of anxiety levels, depressive symptoms, and poor sleep quality among the healthcare professionals working in SKMCH & RC Lahore during the COVID-19 pandemic irrespective of direct contact with COVID-19 patients in a healthcare setting.

Prevalence and risk factors of sleep problems in Bangladesh during the COVID-19 pandemic: a systematic review and meta-analysis.

The outbreak of the novel coronavirus disease 2019 (COVID-19) has altered people's lives worldwide and fostered the emergence of sleep problems. However, no systematic review and meta-analysis has yet been conducted to rigorously evaluate the impact of COVID-19 on sleep problems from a Bangladeshi perspective. As a result, the current systematic review and meta-analysis aims to fill this knowledge gap, which may lead to a better understanding of the prevalence and risk factors associated with sleep problems. To conduct this systematic review, PRISMA guidelines were followed; a literature search was conducted to include studies published till 5th March 2022 from the inception of COVID-19 pandemic in Bangladesh searching databases such as PubMed, Scopus. A total of eleven studies were included. The JBI checklist was used to assess the methodological quality of included studies. The overall estimated prevalence of sleep problems was 45% (95% CI: 32% to 58%, I2 =99.31%). General populations were more affected by sleep problems [52% (95% CI: 36% to 68%, I2 =98.92%)] than the healthcare professionals [51% (95% CI: 23% to 79%, I2 =97.99%)] (χ2 = 137.05, p <0.001). Additionally, results suggested that suffering from sleep problems were higher among female (OR: 1.15; 95% CI: 1.03 to 1.29 compared to men); urban residents (OR: 1.77; 95% CI: 1.55 to 2.02 compared to rural); and anxious person (OR: 5.15; 95% CI: 4.32 to 6.14 compared to non-anxious), whereas single participants less likely to suffer from sleep related problems (OR: 0.81; 95% CI: 0.71 to 0.94). The prevalence rate of sleep problems was high and the general populations was at particularly high risk. Further longitudinal studies are warranted to investigate the trajectories of such sleep problems as a function of pandemic changes.

Increased digital media use is associated with sleep problems among university students: A study during the COVID-19 pandemic in Japan.

This retrospective cohort study investigates the association between the incidence of sleep problems and changes in digital media use among university students during the COVID-19 pandemic. It used data from annual health check-ups performed at a Japanese university in 2019 and 2020. Students undergoing these check-ups were identified to respond to questions about sleep problems, digital media use, breakfast and exercise habits, and stress. In total, 3,869 students were included in the analysis. The association between the incidence of sleep problems in 2020 and the changes in digital media use between 2019 and 2020 was assessed using logistic regression models. The rate of long digital media use (≥ 2 hours) in 2019 was 42.6%, while in 2020 it was 53.6%. Incidence of sleep problems was observed in 244 students (6.3%) in 2020. There were 786 students (20.3%) who used digital media for ≤ 2 h in 2019 and ≥ 2 h in 2020. From the sample, 66 students (8.4%) reported incidence of sleep problems in 2020. Additionally, those respondents who specifically reported increased digital media use between 2019 and 2020 (increased use) where at greater risk (OR: 1.76; 95% CI: 1.21, 2.55) of reporting sleep problems in 2020, even after controlling for other study variables. Thus, this study provides evidence that the incidence of sleep problems has had a significant association with an increase in digital media use among university students throughout the COVID-19 pandemic. These findings highlight the importance of ensuring appropriate digital media use among students for improved quality of sleep.

Adolescent Sleep Behavioral Interventions and Opportunities to Improve Cognitive Functioning: A Call for Action

Sleep is related to cognitive functioning, learning, and brain development in the adolescent population. Recent research indicates a rise in the presence of chronic sleep disorders such as insomnia in adolescents, particularly following the COVID-19 pandemic. Therefore, research on the effectiveness of sleep interventions for adolescents is necessary to guide treatment in adolescents. The authors conducted a systematic review of literature examining research on outcomes of treatment interventions for insomnia on sleep quality and cognitive functioning in adolescents. Results indicate a dearth of research examining effectiveness of treatment in adolescents, particularly in relation to the impact of such treatment on cognitive functioning in adolescents. The following paper provides a brief overview of existing research on treatment of insomnia or related problems including initiating, maintaining and awaking for adolescent populations with a focus on improvement of cognitive functioning within this population. The authors discuss existing barriers to research, emphasize the need to expand sleep research to include cognitive functioning outcomes, and inform best practices for treatment in adolescents following COVID-19. Lastly, the authors propose a call to action encouraging more widespread recognition of the need for research in this area. Key Take Away Points 24 out of 735 records identified through databases were screened for eligibility. The search and subsequent screening procedures outlined several limitations including a dearth of randomized clinical trials, RCTs assessing effectiveness of behavioral interventions specific to insomnia, adequate selection of cognitive functioning measures, sleep assessment measures and other study designs limitations. Only two records remained in the study with CBTi interventions and included objective measures specific for the assessment of insomnia and cognitive functioning. The two remaining studies reported changes in their interventions for working memory tasks;however, effect size and other study design limitations were reported. Barriers and considerations for the insomnia related symptoms and treatment continues to merit attention due to its impact for learning in adolescent population.

Better Sleep Through Screen Time: The Role of Telehealth in Sleep Care for the School-Aged Child

Background Sleep plays an integral role in a child’s physical and neuropsychological development. Children with sleep disorders are at risk of developing inattention, hyperactivity, and learning difficulties, challenges that impact them, their families, their classmates, and their communities.26 There is a paucity of pediatric sleep medicine providers equipped to partner with families in identifying and addressing sleep disorders. Additional barriers to accessing this specialized care include geographic proximity, parental ability to take time off from work, and hesitance for a child to miss valuable learning time at school. During the SARS-CoV-2 pandemic, our pediatric sleep department transitioned from largely in-person care to a predominantly virtual platform and collected data to monitor the impact of this transition. In this study, we share several key trends that emerged which may have broad implications on how pediatric sleep medicine providers can better support school-aged children with sleep challenges. Methods We performed a chart review of all scheduled pediatric sleep medicine visits from June 2019 to June 2021, a time frame that included the pandemic-driven overnight transition from in-person to virtual clinic visits. The STEM framework1 was developed by pediatric telehealth experts to provide a unified approach to assessing the impact of telehealth programs. We applied this framework to the collected data to gauge the impact on the four major domains highlighted in STEM: health outcomes, healthcare delivery, individual experience (patient and provider), and program implementation. Results The data demonstrated an increased proportion of completed visits and a decreased proportion of canceled/no-show visits when care was provided virtually. Patients accessing virtual care were doing so from greater distances than those who had in-person visits. The school-aged (5-12 years) cohort utilizing telehealth had notable differences in past medical history, with significantly more Attention Deficit-Hyperactivity Disorder. They also presented with significantly more insomnia and behavioral sleep difficulties. Discussion Sleep disorders are common, and school-aged children have much to gain from sleep optimization. However, pediatric sleep care can be challenging to access. Geographic distance and time away from school and work preclude many families from formal sleep consultations. Telehealth allows high-quality pediatric sleep care to be offered in an easily accessible format to those near and far, resulting in clinics running more efficiently and school-aged children, who need it most, to receive the tools they need to sleep soundly. With a convenient click, families are better able to fit virtual sleep consultations into their day, without the stress of travel or the waiting room. They complete more scheduled visits, allowing pediatric sleep medicine departments to deliver care more efficiently. The low-pressure virtual platform also permits families to seek care for behavioral sleep issues. While our department’s transition to predominantly virtual care occurred amidst a pandemic, with many confounding factors limiting the interpretation of the data we collected, the trends seen are very promising. Key Take Away Points Pediatric sleep medicine consultation is a highly needed but scarce resource. Pediatric sleep medicine clinics can run more efficiently when utilizing telehealth. School-aged children with ADHD or suffering from insomnia may access sleep care at greater rates when care is offered virtually.

Sleep Problems Prior to Radio-chemotherapy in Patients With Locally Advanced Cancer of the Esophagus or the Esophagogastric Junction.

BACKGROUND/AIM: Many patients with locally advanced cancer of the esophagus or esophagogastric junction receive definitive or neoadjuvant radiochemotherapy. Patient anticipation of this treatment can cause or aggravate distress and sleep disorders. This study aimed to identify the prevalence of sleep disorders and risk factors. PATIENTS AND METHODS: Thirty-eight patients assigned to radio-chemotherapy were retrospectively evaluated for pre-treatment sleep disorders. Investigated characteristics included age; sex; performance score; comorbidity index; previous malignancies; family history; distress score; emotional, physical or practical problems; tumor site; histology and grading; tumor stage; planned treatment; and relation to 2019 Coronavirus pandemic. RESULTS: Sleep problems were reported by 15 patients (39.5%). Significant associations were found for higher distress scores (p=0.016) and greater numbers of emotional problems (p<0.0001). A trend was observed for greater numbers of physical problems (p=0.176). CONCLUSION: The prevalence of sleep problems was high. Risk factors were found that can help identify patients requiring psychological support already prior to radio-chemotherapy.

Binge-Watching and Mental Health Problems: A Systematic Review and Meta-Analysis.

BACKGROUND: Binge-watching, the viewing of online videos or streamed content, may be associated with different types of mental health problems. The present study aimed to investigate the associations between binge-watching and five mental health concerns including depression, loneliness, sleep problems, anxiety, and stress. METHODS: Academic databases of PubMed, Scopus, Web of Science, ProQuest, PsycINFO, and Psych Articles were systematically searched through February of 2022. The Newcastle-Ottawa Scale was used to assess the methodological quality. A meta-analysis was performed on Fisher's z values as effect sizes, using a random effect model. Publication bias, small study effect, and moderators in this association were assessed. RESULTS: Binge-watching was significantly associated with the five types of mental health concerns with the most robust correlations found with stress (0.32) and anxiety (0.25). Stronger associations between binge-watching and two types of mental health problems (depression and sleep problems) were found during the COVID-19 pandemic than before the pandemic. Moreover, stronger associations between binge-watching and two types of mental health problems (stress and sleep problems) were found in developing countries than in developed countries. CONCLUSIONS: The associations between binge-watching and mental health concerns were significant and positive. Programs and interventions to reduce binge-watching should be considered and tested.

Mental Health Presentations Across Health Care Settings During the First 9 Months of the COVID-19 Pandemic in England: Retrospective Observational Study.

BACKGROUND: The COVID-19 pandemic has resulted in an unprecedented impact on the day-to-day lives of people, with several features potentially adversely affecting mental health. There is growing evidence of the size of the impact of COVID-19 on mental health, but much of this is from ongoing population surveys using validated mental health scores. OBJECTIVE: This study investigated the impact of the pandemic and control measures on mental health conditions presenting to a spectrum of national health care services monitored using real-time syndromic surveillance in England. METHODS: We conducted a retrospective observational descriptive study of mental health presentations (those calling the national medical helpline, National Health Service [NHS] 111; consulting general practitioners [GPs] in and out-of-hours; calling ambulance services; and attending emergency departments) from January 1, 2019, to September 30, 2020. Estimates for the impact of lockdown measures were provided using an interrupted time series analysis. RESULTS: Mental health presentations showed a marked decrease during the early stages of the pandemic. Postlockdown, attendances for mental health conditions reached higher than prepandemic levels across most systems-a rise of 10% compared to that expected for NHS 111 and 21% for GP out-of-hours service-while the number of consultations to GP in-hours service was 13% lower compared to the same time previous year. Increases were observed in calls to NHS 111 for sleep problems. CONCLUSIONS: These analyses showed marked changes in the health care attendances and prescribing for common mental health conditions across a spectrum of health care provision, with some of these changes persisting. The reasons for such changes are likely to be complex and multifactorial. The impact of the pandemic on mental health may not be fully understood for some time, and therefore, these syndromic indicators should continue to be monitored.

Stress, Insomnia, and Leisure in Dementia Family Caregivers. Correlates with Distress during the COVID-19 Pandemic.

The COVID-19 pandemic added a new stress source for caregivers. Many aspects influence the potential depressive or anxiety symptomatology in caregivers. This study explored the association among COVID-19 related stressors, insomnia, leisure, and caregivers' depression and anxiety. 101 family caregivers of people with dementia were asked about COVID-19 related stressors, insomnia, leisure, depression and anxiety symptoms. Four regression models with caregivers' depression and anxiety symptoms as dependent variables were tested. Four potential mediation models were investigated. Two of them had insomnia as the independent variable and leisure as a mediator, and the other two had leisure as the independent variable and insomnia as a mediator. Regression models accounted for 48% and 40.6% of the variance in depressive and anxiety symptoms, respectively. The four mediator models were statistically significant. Findings suggest two potential mechanisms affecting caregivers' distress during the pandemic. Insomnia and leisure significantly contributed to explain caregivers' anxiety and depressive symptoms, even after controlling for COVID-19 related stressors. Provision of resources to increase the chances of caregivers engaging in leisure activities, alongside a reduction of barriers potentially limiting good sleep, may contribute significantly to improving the depression and anxiety symptoms of family caregivers.

Health anxiety model of cyberchondria, fears, obsessions, sleep quality, and negative affect during COVID-19.

The aim of the study was to explore the relationships among cyberchondria, fear of COVID-19, health anxiety, obsessions, sleep quality, and negative affect in a national community sample of Turkish participants. A sample of 8,276 volunteers, aged between 18 and 65, were recruited via an online platform. The Perceived Vulnerability about Diseases Questionnaire, Fear of COVID-19 Scale, Cyberchondria Severity Scale, Short Health Anxiety Inventory, Depression Stress Anxiety Scale-21, Obsessive-Compulsive Inventory-Revised, and Pittsburgh Sleep Quality Index were completed by participants. Data were analyzed using mixture structural equation modelling approach. Results revealed that perceived vulnerability to disease was found to be positively related with cyberchondria, poor sleep quality, health anxiety, and obsessive-compulsive symptoms. Negative affect was positively associated with obsessive-compulsive symptoms, fears of COVID-19, cyberchondria severity, and poor sleep quality. Additionally, fear of COVID-19 was positively related to health anxiety. Also, cyberchondria severity was found to be positively associated with poor sleep quality and obsessive-compulsive symptoms. Mixture analysis classified participants into six latent classes: 1) Risk-Aversive Healthy Group, 2) Incautious Healthy Group, 3) Infection Obsessions Group, 4) Health Anxiety Group, 5) Negative Affect Group, and 6) General Psychopathology Group. The national survey data showed that perceived vulnerability to diseases, negative affect, fear of COVID-19, cyberchondria, health anxiety, obsessive-compulsive symptoms, and sleep quality appeared to be at the center of pandemic health anxiety.