Sleep characteristics in health workers exposed to the COVID-19 pandemic

IntroductionThe development of sleep disorders, and specifically insomnia, has been linked to the exposure to different stressors. In this line, Coronavirus disease 2019 (COVID-19) outbreak caused by the new coronavirus SARS-CoV-2, has caused a huge impact on our environment, and has exposed healthcare workers to an unprecedented threat. In this study, we try to assess sleep quality and the development of sleep disorders in health personnel directly dedicated to the care of COVID-19 patients at the height of the pandemic, compared to the general population.Materials and methodsA cross-sectional, anonymized, self-reported questionnaire survey was carried out at the “12 de Octubre” Hospital, in Madrid, Spain, during the outbreak of COVID-19, from March 1st to April 30th 2020. We compared two groups, healthcare workers who have treated directly COVID-19 patients versus non-healthcare workers. The questionnaire included demographic data, sleep related aspects, Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI) and 17-items Hamilton Rating Scale (HRS).ResultsIn total 170 participants completed the questionnaire successfully, 100 healthcare workers and 70 non-healthcare workers. Self-reported insomnia, nightmares, sleepwalking, sleep terrors and PSQI>6 were more frequent in the healthcare group (p < 0,05). Shift work was associated to greater risk when performing multiple logistic regression analysis.ConclusionsWe observed that, during the outbreak of COVID-19, healthcare workers on the front line developed more sleep disturbances than non-healthcare professionals, and they had worse quality of sleep. Special attention should be paid to shift workers. Concrete protection and prevention measures for particularly exposed population should be considered in pandemic situations.     

Prevalence of sleep disturbances during COVID-19 outbreak in an urban Chinese population: a cross-sectional study

ObjectiveThe COVID-19 pandemic is a large-scale public health emergency that likely precipitated sleep disturbances in the community. This study aimed to investigate the prevalence and correlates of sleep disturbances during the early phase of COVID-19 pandemic.MethodsThis web-based cross-sectional study recruited 1138 Hong Kong adults using convenience sampling over a two-week period from 6th April 2020. The survey collected data on sleep disturbances, mood, stress, stock of infection control supplies, perceived risk of being infected by COVID-19, and sources for acquiring COVID-19 information. The participants were asked to compare their recent sleep and sleep before the outbreak. The Insomnia Severity Index (ISI) was used to assess their current insomnia severity. Prevalence was weighted according to 2016 population census.ResultsThe weighted prevalence of worsened sleep quality, difficulty in sleep initiation, and shortened sleep duration since the outbreak were 38.3%, 29.8%, and 29.1%, respectively. The prevalence of current insomnia (ISI score of ≥10) was 29.9%. Insufficient stock of masks was significantly associated with worsened sleep quality, impaired sleep initiation, shortened sleep duration, and current insomnia in multivariate logistic regression (adjusted OR = 1.57, 1.72, 1.99, and 1.96 respectively, all p < 0.05).ConclusionA high proportion of people in Hong Kong felt that their sleep had worsened since the COVID-19 outbreak. Insufficient stock of masks was one of the risk factors that were associated with sleep disturbances. Adequate and stable supply of masks may play an important role to maintain the sleep health in the Hong Kong general population during a pandemic outbreak.     

Efficacy of digital cognitive behavioural therapy for insomnia: a meta-analysis of randomised controlled trials

ObjectivesAlthough cognitive behavioural therapy for insomnia (CBT-I) has been recommended the initial therapy for insomnia, its clinical usage remains limited due to the lack of therapists. Digital CBT-I (dCBT-I) can potentially circumvent this problem. This meta-analysis aims to evaluate the short-term and long-term efficacy of dCBT-I for adults with insomnia.MethodsSystematic search of PubMed, EMBASE, PsycINFO, and CENTRAL from inception till 5 March 2020 was conducted. Randomised controlled trials (RCTs) comparing dCBT-I with controls (wait-list/treatment-as-usual/online education) in adults with insomnia were eligible. The primary outcome was insomnia severity index (ISI) at post-intervention, short-term follow-up (ranging 4 weeks to 6 months) and 1-year follow-up. Mean differences were pooled using the random-effects model.Results94 articles were assessed full-text independently by two team members and 33 studies were included in this meta-analysis. 4719 and 4645 participants were randomised to dCBT-I and control respectively. dCBT-I significantly reduces ISI at post-intervention with mean difference −5.00 (95% CI −5.68 to −4.33, p < 0.0001) (I² = 79%) compared to control. The improvements were sustained at short-term follow-up, −3.99 (95% CI −4.82 to −3.16, p < 0.0001) and 1-year follow-up, −3.48 (95% CI −4.21 to −2.76, p < 0.0001). Compared to dCBT-I, face-to-face CBT-I produced greater improvement in ISI, 3.07 (95% CI 1.18 to 4.95, p = 0.001). However, this was within the non-inferiority interval of 4 points on ISI.ConclusionThis meta-analysis provides strong support for the effectiveness of dCBT-I in treating insomnia. dCBT-I has potential to revolutionise the delivery of CBT-I, improving the accessibility and availability of CBT-I content for insomnia patients worldwide.     

Factors related to mental health of inpatients with COVID-19 in Wuhan,China

ObjectiveTo evaluate the mental health status of hospitalized patients with coronavirus disease 2019 (COVID-19) and to explore the related factors.MethodThis was a cross-sectional survey among COVID-19 inpatients in two isolation wards of a designated hospital in Wuhan, China, from March 7, 2020, to March 24, 2020. Participants’ demographic data, clinical data and levels of circulating inflammatory markers were collated. Mental health symptoms were evaluated with questionnaires, which included the Insomnia Severity Index (ISI) scale, the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder (GAD-7) scale, and questions about patients’ self-perceived illness severity. Multivariate linear regression analysis was performed to explore factors that associated with mental symptoms, and a structural equation model (SEM) was used to assess the possible relationships between those factors and the patients’ mental health.ResultsAmong the 85 participants, 45.9% had symptoms of depression (PHQ-9 ≥ 5), 38.8% had anxiety (GAD-7 ≥ 5), and 54.1% had insomnia (ISI ≥ 8). According to multivariate regression analysis, female sex, a higher level of interleukin (IL)-1β and greater self-perceived illness severity were all significantly associated with a higher PHQ-9 score, higher GAD-7 score and higher ISI score. In addition, the disease duration and the neutrophil to lymphocyte ratio (NLR) were positively related to patients’ self-perceived illness severity. The results of the SEM analyses suggested that sex (β = 0.313, P < 0.001), self-perceived illness severity (β = 0.411, P < 0.001) and levels of inflammatory markers (β = 0.358, P = 0.002) had direct effects on patients’ mental health. The disease duration (β = 0.163, P = 0.003) and levels of inflammatory markers (β = 0.101, P = 0.016) also indirectly affected patients’ mental health, with self-perceived illness severity acting as a mediator.ConclusionA majority of COVID-19 infected inpatients reported experiencing mental health disturbances. Female sex, disease duration, levels of inflammatory markers and self-perceived illness severity are factors that could be used to predict the severity of patients’ mental symptoms.     

Insomnia,anxiety, and depression during the COVID-19 pandemic: an international collaborative study

Importance and study objectiveThe COVID-19 pandemic has produced unprecedented changes in social, work, and leisure activities, which all have had major impact on sleep and psychological well-being. This study documented the prevalence of clinical cases of insomnia, anxiety, and depression and selected risk factors (COVID-19, confinement, financial burden, social isolation) during the first wave of the pandemic in 13 countries throughout the world.Design and participantsInternational, multi-center, harmonized survey of 22 330 adults (mean age = 41.9 years old, range 18–95; 65.6% women) from the general population in 13 countries and four continents. Participants were invited to complete a standardized web-based survey about sleep and psychological symptoms during the first wave of the COVID-19 pandemic from May to August 2020.ResultsClinical insomnia symptoms were reported by 36.7% (95% CI, 36.0–37.4) of respondents and 17.4% (95% CI, 16.9–17.9) met criteria for a probable insomnia disorder. There were 25.6% (95% CI, 25.0–26.2) with probable anxiety and 23.1% (95% CI, 22.5–23.6) with probable depression. Rates of insomnia symptoms (>40%) and insomnia disorder (>25%) were significantly higher in women, younger age groups, and in residents of Brazil, Canada, Norway, Poland, USA, and United Kingdom compared to residents from Asian countries (China and Japan, 8% for disorder and 22%–25% for symptoms) (all Ps < 0.01). Proportions of insomnia cases were significantly higher among participants who completed the survey earlier in the first wave of the pandemic relative to those who completed it later. Risks of insomnia were higher among participants who reported having had COVID-19, who reported greater financial burden, were in confinement for a period of four to five weeks, and living alone or with more than five people in same household. These associations remained significant after controlling for age, sex, and psychological symptoms.Conclusion and relevanceInsomnia, anxiety, and depression were very prevalent during the first wave of the COVID-19 pandemic. Public health prevention programs are needed to prevent chronicity and reduce long-term adverse outcomes associated with chronic insomnia and mental health problems.     

Disrupted sleep maintenance is associated with altered circadian phase and phase angle in community-dwelling adults

ObjectiveWe aimed to compare the sleep onset, dim light melatonin onset (DLMO) and phase angle (PA) between sleep onset and DLMO of insomnia patients with those of controls, and to examine the difference in these parameters in relation to objective sleep quality.MethodsParticipants were recruited from three Public Health Centers in Korea. Actigraphy recordings were conducted for seven days. Five hourly saliva samples were obtained from three hours prior to sleep onset. A total of 48 controls and 64 insomnia patients were analyzed. Nocturnal sleep parameters, DLMO, and PA were compared between the controls and insomnia patients, and between the controls and patients with difficulty in maintaining sleep (DMS). These sleep and circadian parameters were compared among the subgroups divided by wake after sleep onset (WASO) amount.ResultsThere were no significant differences in sleep parameters between the control and insomnia groups, and between the controls and DMS subgroup. The sleep onset, DLMO, and PA of the insomnia group or those of DMS subgroup were not different from those of controls. There were significant differences in the sleep onset and DLMO (p < 0.05) among mild, moderate, and severe WASO groups. A regression analysis revealed the earlier DLMO and shorter PA predicted the severity of WASO (p < 0.0001) in total participants.ConclusionsInsomnia patients exhibited no difference in their sleep timing and melatonin rhythm compared to controls. However, these circadian parameters varied depending on the severity of WASO, and advanced melatonin phase and its shortened phase angle were associated with worsening of sleep maintenance.     

Discrepancy Between Desired Time in Bed and Desired Total Sleep Time,Insomnia, Depression,and Dysfunctional Beliefs About Sleep Among the General Population

Objective The aim of this study was to explore the factors that can influence the severity of insomnia in the general population. We also aimed to examine whether sleep effort mediates the association between dysfunctional beliefs about sleep or the discrepancy between desired time in bed and desired total sleep time (DBST) and insomnia severity in individuals. Methods A total of 387 participants enrolled in this e-survey study. The symptoms were rated using the insomnia severity index (ISI), Patients Health Questionnaire-9 items, Dysfunctional Beliefs about Sleep-2 items, Glasgow Sleep Effort Scale, and Stress and Anxiety to Viral Epidemics-6 items. In addition, we defined a new sleep index named the DBST index. A linear regression analysis was performed to explore the factors predicting ISI scores, and mediation analysis was implemented to explore whether persistent preoccupation with sleep mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity. Results A linear regression analysis investigated depression (β=0.17, p<0.001), sleep effort (β=0.50, p<0.001), dysfunctional beliefs about sleep (β=0.13, p=0.001), and DBST (β=0.09, p=0.014) (adjusted R²=0.50, F=65.7, p<0.001). Additionally, we observed that persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity. Conclusion Depression, preoccupation with sleep, dysfunctional beliefs about sleep, and DBST influenced the insomnia severity of the general population. We also observed that a persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and the DBST index on insomnia severity.     

Sufficient sleep attenuates COVID-19 pandemic-related executive dysfunction in late adolescents and young adults

PurposeTo investigate the interaction between (1) sleep and the COVID-19 pandemic; and (2) social cumulative risk and COVID-19 pandemic on executive function (EF).MethodsForty late adolescents/young adults (19.25 ± 1.12 y.o.) completed sleep questionnaires and the Behavior Rating Inventory of Executive Function- Adults (BRIEF-A) before and during the COVID-19 pandemic, yielding 80 observations for data analysis. Multilevel random-effects models with interaction terms were used to estimate the associations.ResultsCompared to pre-pandemic sleep, participants slept 24 min longer (t = −2.07, p = 0.03) and also had increased sleep latency (t = −1.83, p = 0.07) during COVID-19. Mid-sleep times shifted 40 min later (t = −3.22, p = 0.003), and BRIEF-A scores increased (indicating greater dysfunction), during the pandemic (p < 0.05). The worsening in EF during the pandemic was attenuated by increasing sleep duration (B = -4.38, p = 0.04) and magnified by social cumulative risk (B = 3.19, p = 0.04). Poor sleep quality was independently associated with increase in EF problems (p < 0.05).ConclusionSufficient sleep may represent a resilience factor against EF decline during this unprecedented crisis.     

Identifying the best sleep measure to screen clinical insomnia in a psychiatric population

BackgroundInsomnia symptoms are highly prevalent among patients with psychiatric disorders, and this mandates the need to identify the best self-administered sleep measure to screen for clinical insomnia among them.MethodsA total of 400 psychiatric outpatients completed the Pittsburgh Sleep Quality Index, Insomnia Severity Index (ISI), Epworth Sleepiness Scale, Flinders Fatigue Scale, Functional Outcomes of Sleep Questionnaire, and Dysfunctional Beliefs and Attitudes about Sleep Scale in a cross-sectional study. The sensitivity, specificity, positive, and negative predictive values of these six sleep scales were assessed and compared in relation to both ICD-10 and DSM-5 insomnia disorder status established using the interviewer-administered Brief Insomnia Questionnaire.ResultsReceiver operator characteristic curves with the area under the curve (AUC) revealed the ISI to be the most accurate measure to discriminate cases and non-cases on both ICD-10 (AUC = 0.88, 95% CI = 0.84–0.92) and DSM-5 (AUC = 0.82, 95% CI = 0.78–0.86) criteria with “good” accuracy. The cut-off scores of ≥14 and ≥ 11 for the ISI provided optimal sensitivity and specificity for the detection of ICD-10 and DSM-5 insomnia, respectively.DiscussionWith the new calling from DSM-5 to treat sleep symptoms in the presence of a co-existing mental condition, early detection of psychiatric patients with clinically significantly insomnia using a simple but accurate self-report sleep measure becomes important. Our study suggests that the ISI could be used as a potential screening tool for comorbid insomnia disorder in patients with mental disorders.     

Associations of positive and adverse childhood experiences and adulthood insomnia in a community sample of Chinese adults

Study objectivesResearch has documented that adverse childhood experiences (ACEs) are associated with increased adult sleep disturbances, little is known about whether positive childhood experiences (PCEs) influence sleep health in adulthood. This study aimed to examine the associations of ACEs and PCEs with adulthood insomnia, as well as the extent to which PTSD and depressive symptoms mediated these associations.MethodsA sample of 7245 adults in China (male 32.7%; mean age 38.09 years, SD = 7.84, range from 18 to 81) completed self-report questionnaires to assess ACEs, PCEs, PTSD and depressive symptoms. Multiple linear regressions were used to examine the independent and interaction effects of ACEs and PCEs on insomnia. Path analyses were performed to examine the direct and indirect effects of ACEs and PCEs on insomnia.ResultsAfter adjustment of demographics, ACEs (β = 0.11, p < 0.001) and PCEs (β = −0.09, p < 0.001) were both independently associated with adulthood insomnia, while the relationship between PCEs and insomnia was weakened but still significant among participants with high levels of ACEs. After controlling for demographics, PTSD and depressive symptoms partially mediated the overall effect of PCEs on insomnia, and fully mediated the relationship between ACEs and insomnia.ConclusionsThese data demonstrate that both positive and adverse childhood experiences influence adulthood insomnia. The findings highlight the importance of joint assessment of PCEs and ACEs to prevent and intervene insomnia. Optimizing the early childhood environment may help to foster healthy sleep throughout the life course.     

Sleep disorders in Wilson's disease

Background/objectivesWilson's disease (WD) is a rare genetic disorder that leads to copper overload, mainly in the liver then, in the brain. Patients with WD often complain about sleep disorders. We aimed to explore them.Patients/methodsSleep complaints and disease symptoms were compared in 40 patients with WD (20 patients with hepatic phenotype matched to 20 neurologic one) and 40 age, sex and BMI matched healthy controls.ResultsPatients with WD had more frequently (32.5 vs 10.0%, p < 0.05) and more severe (10.5 ± 6.0 vs 7.6 ± 4.8, p < 0.01) insomnia than controls and insomnia was more severe in neurologic than hepatic form of the disease (12.25 ± 5.89 vs 8.73 ± 5.8, p < 0.05). Insomnia severity was correlated with the severity of depressive symptoms (r = 0.53, p < 0.001). Compared to controls, patients reported more difficulties staying asleep and more consequences of insomnia on their quality of life. REM sleep behavior disorder was more frequent in WD (20 vs 0%, p = 0.005) than controls. Patients complained more frequently of nycturia (22.8 vs 7.6%, p = 0.003) than controls. Patients did not differ from controls for sleepiness, restless legs syndrome and obstructive sleep apnea syndrome. Patients did not report cataplexia.ConclusionIn patients with WD, insomnia and REM sleep behavior disorder are the two main sleep complaints. Insomnia is more frequent in neurologic than hepatic form of the disease. Severity of insomnia is associated with the severity of depressive symptoms.     

Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry

This study aimed to assess and compare the immediate stress and psychological impact experienced by people with and without psychiatric illnesses during the peak of 2019 coronavirus disease (COVID-19) epidemic with strict lockdown measures. Seventy-six psychiatric patients and 109 healthy control subjects were recruited from Chongqing, China and completed a survey on demographic data, physical symptoms during the past 14 days and a range of psychiatric symptoms using the Impact of Event Scale-Revised (IES-R), Depression, Anxiety and Stress Scale (DASS-21) and Insomnia Severity Index (ISI). IES-R measures PTSD symptoms in survivorship after an event. DASS-21 is based on tripartite model of psychopathology that comprise a general distress construct with distinct characteristics. The mean IES-R, DASS-21 anxiety, depression and stress subscale and ISI scores were higher in psychiatric patients than healthy controls (p < 0.001). Serious worries about their physical health, anger and impulsivity and intense suicidal ideation were significantly higher in psychiatric patients than healthy controls (p < 0.05). More than one-third of psychiatric patients might fulfil the diagnostic criteria post-traumatic stress disorder (PTSD). More than one-quarter of psychiatric patients suffered from moderately severe to severe insomnia. Respondents who reported no change, poor or worse physical health status and had a psychiatric illness were significantly more likely to have higher mean IES-R, DASS depression, anxiety and stress subscale scores and ISI scores (p < 0.05). This study confirms the severity of negative psychological impact on psychiatric patients during the COVID-19 epidemic with strict lockdown measures. Understanding the psychological impact on psychiatric patients during the COVID-19 pandemic has the potential to provide insight into how to develop a new immunopsychiatry service. Further research is required to compare pro-inflammatory cytokines between psychiatric patients and healthy controls during the pandemic.     

Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity

ObjectivePrevious studies have shown that both sleep duration and insomnia have an impact on obesity and central obesity. However, studies of the joint effects of these sleep disorders are still sparse.MethodsThe present study utilized data from the Swedish EpiHealth cohort study. Participants (45–78 y) were asked to fill out an internet-based questionnaire. Body mass index (BMI) and central obesity (calculated from waist circumference) were based on measured data.ResultsA total of 18,823 participants (mean age = 60 ys) were included in this study. The reported prevalence of short (<6 h/night) and long (>9 h/night) sleep duration was 8% and 4% respectively, and insomnia symptoms was 19%. Of the study population, 16% were obese (BMI ≥ 30 kg/m²) and 40% had central obesity. There was a U-shaped association between sleep duration and obesity and central obesity, and significant associations between insomnia symptoms and obesity. When stratifying sleep duration by concurrent insomnia symptoms, there were associations (odds ratios, (95% confidence intervals)) between the combination of both short (1.48, (1.22–1.80)) and long sleep duration (1.77 (1.00–3.16)) with insomnia symptoms and obesity and central obesity (1.36 (1.16–1.61) and 2.44 (1.41–3.24) respectively). However, there was no significant association between insomnia symptoms and obesity or central obesity in participants with normal sleep duration. For central obesity there was an association with long sleep duration regardless of insomnia symptoms, while the association with short sleep duration was significant only if insomnia symptoms were present.ConclusionsBoth short and long sleep duration, as well as insomnia symptoms, are associated with obesity and central obesity. There is an important joint effect of sleep duration and insomnia symptoms and there is no association between insomnia symptoms and obesity, as long as a normal sleeping time can be attained. This indicates that sleep duration rather than insomnia symptoms per se is of importance for the relationship between sleep and obesity.     

Relationship between sleep quality and the psychological status of patients hospitalised with COVID-19

AimWe explored the sleep quality of patients who required mental health and clinical interventions in our hospital after being diagnosed with COVID-19.MethodWe enrolled 189 patients hospitalised with COVID-19 in April and May of 2020, of whom 78 were female and 111 male. We evaluated sleep quality and related factors in terms of demographic characteristics, the duration of hospitalisation, and Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety-Depression Scale scores.ResultsAll participants were divided into two groups according to PSQI score: n = 102 (54%) patients with PSQI scores ≥5 and n = 87 (46%) patients with PSQI scores <5. No significant between-group difference was evident in terms of age, gender, marital status, educational level, or chronic disease history. The duration of hospitalisation (p = 0.002) and the depression rate (p = 0.010) were higher in the group exhibiting poor sleep quality (PSQI score ≥5).ConclusionThe duration of hospitalisation was longer in patients experiencing poor sleep quality. Therefore, improvement in sleep quality will reduce the length of hospital and intensive care unit stays.     

The bidirectional longitudinal relationship between insomnia,depression and anxiety in patients with early-stage,medication-naïve Parkinson's disease

IntroductionWhile anxiety, depression and insomnia frequently (co-)occur in Parkinson's disease (PD) patients, little is known about their temporal relationship. In this study, we tested two hypotheses: i) insomnia predicts an increase in symptoms of depression or anxiety and ii) anxiety or depression at baseline predicts insomnia in PD patients six months later.MethodsWe used longitudinal data from a prospective cohort study of early-stage, medication-naïve PD patients. Primary outcome measures were: anxiety symptoms, measured with the State-Trait Anxiety Inventory (STAI); depressive symptoms, measured with the 15-item Geriatric Depression Scale (GDS-15); and insomnia, defined as a score ≥ 2 on item 1.7 of the Movement Disorder Society – Unified Parkinson's Disease Rating Scale. We performed linear and logistic regression analyses, correcting for baseline value of the respective outcome variable.ResultsBaseline insomnia was not associated with GDS-15 or STAI total score at follow-up. In a post hoc analysis, we found that insomnia predicted a higher STAI State score (B(SE) = 2.50 (1.07), p < 0.05), while the association with the STAI Trait score was not significant. Baseline STAI scores (B(SE) = 0.02 (0.01), p = 0.001) and GDS-15 score (B(SE) = 0.15 (0.05), p < 0.001) were significantly associated with insomnia at follow-up.ConclusionSymptoms of anxiety and depression may constitute a risk factor for insomnia in PD. The relationship between insomnia and anxiety is bidirectional, which suggests that both anxiety and sleep disorders can start a negative spiral in PD patients, where one enhances the other. Independent clinical attention for these symptoms in PD patients is therefore warranted.     

Sleep problems among Chinese adolescents and young adults during the coronavirus-2019 pandemic

ObjectiveTo assess the prevalence and sociodemographic correlates of insomnia symptoms among Chinese adolescents and young adults affected by the outbreak of coronavirus disease-2019 (COVID-19).MethodsThis cross-sectional study included Chinese adolescents and young adults 12–29 years of age during part of the COVID-19 epidemic period. An online survey was used to collect demographic data, and to assess recognition of COVID-19, insomnia, depression, and anxiety symptoms using the Pittsburgh Sleep Quality Index (PSQI), the Patient Health Questionnaire (PHQ-9), and the Generalized Anxiety Disorder (GAD-7) questionnaires, respectively. The Social Support Rate Scale was used to assess social support.ResultsAmong 11,835 adolescents and young adults included in the study, the prevalence of insomnia symptoms during part of the COVID-19 epidemic period was 23.2%. Binomial logistic regression analysis revealed that female sex and residing in the city were greater risk factors for insomnia symptoms. Depression or anxiety were risk factors for insomnia symptoms; however, social support, both subjective and objective, was protective factors against insomnia symptoms. Furthermore, anxiety and depression symptoms were mediators of social support and insomnia symptoms.ConclusionsResults of this study revealed a high prevalence of sleep problems among adolescents and young adults during the COVID-19 epidemic, especially senior high school and college students, which were negatively associated with students’ projections of trends in COVID-19. The adverse impact of COVID-19 was a risk factor for insomnia symptoms; as such, the government must devote more attention to sleep disorders in this patient population while combating COVID-19.     

The associations of insomnia symptoms and chronotype with daytime sleepiness,mood symptoms and suicide risk in adolescents

ObjectivesTo investigate the association of insomnia and chronotype preference with daytime impairment and psychopathology in a community sample of adolescents in Hong Kong.MethodsThis was a cross-sectional study that included seven local secondary schools in Hong Kong. A total of 1667 adolescents (mean age: 14.8 ± 1.6 years old; boys: 56.5%) returned a battery of self-report questionnaires including Insomnia Severity Index (ISI) and reduced Horne and Östberg Morningness and Eveningness Questionnaire (rMEQ) for assessing insomnia symptoms and chronotype preference, respectively. A subset of adolescent samples (n = 768) were additionally assessed for suicidal ideation. Potential confounders including age, gender and sleep duration were controlled for in the analyses.ResultsThe prevalence of insomnia symptoms and eveningness chronotype was 37% and 25.6%, respectively. Regression models indicated that insomnia and eveningness were independently associated with excessive daytime sleepiness (insomnia: adjusted OR [AdjOR] = 3.8; 95% confidence interval [C.I.] = 2.9–5.0; eveningness: AdjOR = 2.6; 95% C.I. = 1.9–3.7), and an increased risk of depression (insomnia: AdjOR = 3.5, 95% C.I. = 2.5–5.0; eveningness: AdjOR = 2.0, 95% C.I. = 1.3–3.2). The odds ratio increased to 8.7 (95% C.I. = 6.1–12.3, p < 0.001) for excessive daytime sleepiness and 4.8 (95% C.I. = 3.2–7.2, p < 0.001) for depression among adolescents with both insomnia and eveningness. Insomnia symptoms, but not eveningness, were associated with anxiety symptoms (AdjOR = 5.8; 95% C.I. = 3.6–9.4) and suicidal ideation (AdjOR = 2.1, 95% C.I. = 1.4–3.2).ConclusionsThe present study provided further evidence that insomnia and eveningness uniquely contributed to poor daytime functioning and mood related outcomes, while the co-existence of these two conditions could confer a greater risk in adolescents. However, insomnia, but not eveningness, was significantly linked to suicidality after controlling for mood symptoms. Our findings highlighted the necessity of timely management of sleep and circadian issues in adolescents.     

Un programme court de TCCi en groupe par visioconférence dans l’insomnie modifie-t-il les croyances erronées ?

IntroductionThe Morphee Sleep network runs a short group CBT programme. During the pandemic, the programme was administered by videoconference. The programme focuses on behavioral modification. The objective of our study was to evaluate whether the videoconference programme produced changes in dysfunctional beliefs about sleep and whether these changes were linked to improvements in insomnia.MethodsObservational study of 3 × 90 minute sessions of group CBT by videoconference over one month delivered by experienced psychologists. The outcome measures : insomnia severity scale (ISI), dysfunctional beliefs and attitudes about sleep short version (DBAS 16), hospital anxiety and depression scale (subscales depression HADD and anxiety HADA), and epworth sleepiness scale (ESS) completed before session 1 and at the end of session 3. The effectiveness of the programme on insomnia was evaluated by the decrease in the ISI score : full response R+ (>7 points), partial response, R- (4 - 6 points) non response, NR (<3 points). The effect on dysfunctional beliefs and attitudes about sleep were measured by the decrease in the DBAS 16 with response CR (>9 points) and no response CNR (<9 points).ResultsThere were fifty-five participants, 64 % women with a mean age of 49.1 ± 16.1 years. The DBAS 16 was reduced by 6.12 ± 1.29 to 5.09 ± 1.57 (P< 0.0001) with 67 % of participants showing a response CR. The ISI score reduced from 17.7 ± 3.6 to 14.0 ± 4.9 (P< 0.0001) with 49 % showing at least a partial response (R+ and R-). A significant correlation (0.327, P = 0.015) between the CBT response and dysfunctional beliefs about sleep was observed with a significant reduction in the DBAS 16 between responders R+ and non-responders (R+ vs. NR 1.67 ± 1.3 vs. 0.57 ± 1.28 P = 0.012). Seventy-nine of R+ showed improvements in the DBAS 16 vs. 69 % of R- and 61 % of non-responders NR.ConclusionA short group CBT programme by videoconference focused on behavioral modification can reduce dysfunctional beliefs about sleep.