Comprehensive assessment of the impact of life habits on sleep disturbance,chronotype, and daytime sleepiness among high-school students

ObjectiveSleep affects adolescents in various ways. However, the effects of multiple factors on sleep hygiene remain unclear. A comprehensive assessment of the effects of life habits on sleep in high-school students was conducted.MethodsA cross-sectional survey of 344 high school students (age range 15–17; 171 boys, 173 girls) in Tokyo, Japan was conducted in 2015. Complete responses were provided by 294 students. Demographic variables, Pittsburgh Sleep Quality Index (PSQI), diurnal type scale, Pediatric Daytime Sleepiness Scale (PDSS), and life habits such as dinnertime, viewing electronic displays, caffeine intake, sunlight in the morning, and the brightness of the room in the night were asked.ResultsThe mean scores were PSQI: 5.9 (±2.3), PDSS: 19.0 (±5.8), and the diurnal type scale: 16.7 (±3.4). Using an electronic display in bed (OR = 3.01; (95%CI) 1.24–7.30), caffeine intake at night always (OR = 2.22; 1.01–4.90), and waking up before dawn (OR = 3.25; 1.34–7.88) were significantly associated with sleep disturbance. Irregular timing of the evening meal (OR = 2.06; 1.10–3.84) and display viewing within 2 h before bedtime (OR = 2.50; 1.01–6.18) or in bed (OR = 3.60; 1.41–9.21) were significantly associated with excessive daytime sleepiness. Using an electronic display within 2 h before bedtime (OR = 2.64; 1.10–6.38) or in bed (OR = 3.50; 1.40–8.76) and a living room which is bright at night (OR = 1.89; 1.06–3.36) were significantly associated with eveningness.ConclusionEach type of sleep-related problem had its own associated life habit factors.     

Self-reported sleep quality is associated with gut microbiome composition in young,healthy individuals: a pilot study

ObjectivesThe microbiota-gut-brain axis is an intricate communication network that is emerging as a key modulator of psychological and physiological wellbeing. Recent pioneering work in the field has suggested a possible link between gut microbiome composition with sleep, an evolutionarily conserved behavior demonstrated to play a critical role in health. This study is the first to address relationships between self-reported sleep habits and gut microbiome composition in young, healthy individuals.MethodsA total of 28 young, healthy subjects (17 males/11 females; 29.8 ± 10.4 years) that were free of metabolic or cardiovascular disease, and that did not take sleep medication or antibiotics within the past six months were included in the study. Relationships between self-reported sleep quality, obtained using the Pittsburgh Sleep Quality Index (PSQI), with microbial diversity (Shannon Index), the Firmicutes/Bacteroidetes (F/B) ratio, and select bacterial taxa were assessed.ResultsAlpha diversity (r = −0.50) and F/B ratio (r = −0.47) were inversely associated (P < 0.05) with the PSQI score. Ten bacterial taxa were associated (P < 0.05) with the PSQI score, including genus-level Blautia (r = −0.57), Ruminococcus (r = −0.39), and Prevotella (r = 0.39).ConclusionsIn young healthy individuals, self-reported sleep quality was positively associated with microbial diversity. We also observed a positive association between sleep quality with F/B ratio, seemingly due to a greater relative abundance of Blautia and Ruminococcus (Firmicutes) and lower proportions of Prevotella (Bacteroidetes) in individuals reporting superior sleep quality. Future studies are encouraged to evaluate mechanistic links between the gut microbiome with sleep, as well as the health implications of this relationship.     

Active smoking,sleep quality and cerebrospinal fluid biomarkers of neuroinflammation

BackgroundsCigarette smoking has been shown to be associated with sleep disorders and the related neuropathogenesis including neuroinflammation. Previous studies showed that pro- and anti-inflammatory cytokines are physiologically important in maintaining circadian function. In addition, sleep deprivation leads to immune dysregulations. However, no study has been published yet by using cerebrospinal fluid (CSF) biomarkers of neuroinflammation to investigate the relationship between active cigarette smoking and sleep disorders.MethodsCSF tissues from subjects of 191 male subjects (non-smokers n = 104; active smokers n = 87) receiving local anesthesia before surgery for anterior cruciate ligament injuries were obtained after the assessment of clinical information and Pittsburgh Sleep Quality Index (PSQI). The levels of tumor necrosis factor alpha (TNFα), Interleukin (IL) 1 beta (IL1β), IL2, IL4, IL6 and IL10 were measured using radioimmunoassay and ELISA.ResultsPSQI scores were significantly higher in active smokers than that in non-smokers (p < 0.001, Cohen's d = 0.63). Significantly higher levels of CSF TNFα were found in active smokers compared to non-smokers (28 ± 1.97 vs. 22.97 ± 2.48, p < 0.05, Cohen's d = 2.23). There was a positive correlation between CSF IL1β levels and PSQI scores in non-smokers (r = 0.31, p = 0.01, adjustment R-Squared = 0.11).DiscussionThis is the first study to reveal the association between higher CSF TNFα levels and poorer sleep quality in active smoking. In addition, CSF IL1β levels might be a potential biomarker in central nervous system for circadian dysregulation.     

I'm tired and it hurts! Sleep quality and acute pain response in a chronic pain population

Objective/BackgroundThere are bidirectional links between sleep quality and pain, with recent research suggesting that sleep impairment more strongly predicts future pain than vice versa. Relatively few studies have examined the relationship between sleep quality and acute pain among chronic pain patients. The purpose of the current study is to investigate relationships among subjective sleep quality and behavioral and physiological responses to a cold pressor pain task (CPT) in chronic pain patients.Patients/methodsIn sum, 120 individuals with chronic pain were included. Participants completed a series of questionnaires followed by the CPT. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Physiological baseline state and stress response were assessed before and during the CPT using heart rate (HR), electromyography frontalis (EMGF), galvanic skin response conductance (GSR), and skin temperature (°C). Multiple linear regressions adjusting for opioid usage were performed.ResultsAfter adjusting for opioid use, PSQI global score explained significant variance in pain tolerance (B = −5.37, β = −0.23, p = 0.01), baseline GSR (B = −0.66, β = −0.24, p = 0.01), and HR change from baseline to CPT (B = 1.33, β = 0.25, p = 0.01).ConclusionsWorse perceived sleep quality was associated with lower pain tolerance, lower baseline GSR conductance, and greater HR change from baseline to CPT. These findings underscore the importance of accounting for opioid usage and psychological dimensions of pain in the relationship between sleep and acute pain response in chronic pain populations.     

Sleep disordered breathing in a cohort of patients with sporadic inclusion body myositis

ObjectiveThe aims of the study were: (1) to evaluate subjective sleep quality and daytime sleepiness in patients affected by sporadic inclusion-body myositis (IBM); (2) to define the sleep and sleep-related respiratory pattern in IBM patients.MethodsThirteen consecutive adult patients affected by definite IBM were enrolled, six women and seven men, mean age 66.2 ± 11.1 years (range: 50–80). Diagnosis was based on clinical and muscle biopsy studies. All patients underwent subjective sleep evaluation (Pittsburgh Sleep Quality Index, PSQI and Epworth Sleepiness Scale, ESS), oro-pharingo-esophageal scintigraphy, pulmonary function tests, psychometric measures, anatomic evaluation of upper airways, and laboratory-based polysomnography. Findings in IBM patients were compared to those obtained from a control group of 25 healthy subjects (13 men and 12 women, mean age 61.9 ± 8.6 years).ResultsDisease duration was >10 years in all. Mean IBM severity score was 28.8 ± 5.4 (range 18–36). Dysphagia was present in 10 patients. Nine patients had PSQI scores ? 5; patients had higher mean PSQI score (IBM: 7.2 ± 4.7, Controls: 2.76 ± 1.45, p = 0.005); one patient (and no controls) had EES > 9. Polysomnography showed that IBM patients, compared to controls, had lower sleep efficiency (IBM: 78.8 ± 12.0%, Controls: 94.0 ± 4.5%, p < 0.001), more awakenings (IBM: 11.9 ± 11.0, Controls: 5.2 ± 7.5, p = 0.009) and increased nocturnal time awake (IBM: 121.2 ± 82.0 min., Controls: 46.12 ± 28.8 min., p = 0.001). Seven Patients (and no controls) had polysomnographic findings consistent with sleep disordered breathing (SDB).ConclusionData suggest that sleep disruption, and in particular SDB, might be highly prevalent in IBM.SignificanceData indicate that IBM patients have poor sleep and high prevalence of SDB.     

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study

BackgroundSleep disorders may exacerbate many physical and mental health conditions, causing difficulty function in a healthcare setting. Workers screening for the 2019 novel coronavirus (2019-nCoV) infection have a high risk of not only occupational exposure to the virus but also sleep disorders. However, the job-related factors associated with reduced sleep quality remain unclear.MethodsAll healthcare workers temporarily scheduled to screen the 2019-nCoV patients were asked to complete a self-administered questionnaire that included questions on demographics, job-related factors, and sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was assessed over a one-month follow-up period.ResultsA total of 116 doctors and 99 nurses were recruited for this study. The total scheduled work time was 14.78 ± 6.69 days during follow-up. Some job-related factors, such as number of work days, years of work experience, and subjective psychological stress, were associated with changes in the PSQI score. During the study, some workers tried out cognitive behavioral therapy (CBT) for sleep disorders using methods that were available online and easily accessible. Adopting online CBT was shown to be associated with scores of components of sleep quality, sleep latency, and sleep disturbance (β = −0.152, P = 0.01; β = −0.175, P = 0.008; and β = −0.158, P = 0.011, respectively).ConclusionsHealthcare workers involved in screening for 2019-nCoV experienced reduced sleep quality, and a reasonable work schedule may help with maintaining sleep quality. In addition, interventions for healthcare workers should target self-help sleep assistance.     

Agreement between sleep diary and actigraphy in a highly educated Brazilian population

ObjectiveThis study evaluated the agreement between a sleep diary and actigraphy on the assessment of sleep parameters among school teachers from Brazil.MethodsA total of 163 teachers (66.3% women; aged 45 ± 9 years) filled out a sleep diary and wore a wrist actigraph device for seven consecutive days. Data were collected from August 2014 to March 2015 in Londrina, a large city in southern Brazil. Intraclass correlation coefficients (ICC) and Pearson correlation coefficients (r) were used to compare self-reported and actigraphic data.ResultsSelf-reported total sleep time (TST), sleep onset latency (SOL), and sleep efficiency were higher than measured by actigraphy (mean difference: 22.6 ± 46.9 min, 2.6 ± 13.3 min, and 7.3± 5.7%, respectively). Subjective total time in bed (TIB) and wake-up time were lower than measured by actigraphy (mean difference: −10.7 ± 37.6 and −19.7 ± 29.6, respectively). Moderate or good agreement and correlation were found between the sleep diary and the actigraphic data for TST (ICC = 0.70; r = 0.60), TIB (ICC = 0.83; r = 0.73), bedtime (ICC = 0.95; r = 0.91), sleep start time (ICC = 0.94; r = 0.88), and wake-up time (ICC = 0.87; r = 0.78). However, SOL (ICC = 0.49; r = 0.38) and sleep efficiency (ICC = 0.16; r = 0.22) showed only fair or poor agreement and correlation.ConclusionIn this highly educated population, the sleep diary and the actigraphy showed moderate or good agreement to assess several sleep parameters. However, these methods seemed to measure different dimensions of sleep regarding sleep onset latency and efficiency. These findings moderately varied according to the individual's subjective sleep quality.     

Lacunar stroke and heart rate variability during sleep

ObjectiveAutonomic instability during sleep can influence the risk of cerebrovascular diseases. In this study, we performed a polygraphy to evaluate, heart rate variability (HRV) in a group of patients with lacunar stroke that is a condition at high risk of recurrence.MethodsTwenty-one lacunar stroke patients were enrolled one month after stroke occurrence. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). The presence of common sleep disorders and autonomic changes during the night was investigated by a polygraphy monitoring. Results were compared with those obtained in a group of 21 healthy subjects.ResultsPatients and controls were similar for age, sex distribution and main cardiovascular risk factors with the exception of the body mass index. Significant differences were detected for all polysomnographic (PSG) parameters and for the PSQI score. By considering HRV values, patients with pathologic values (12 patients, HRV>2) showed significantly higher values in BMI (31 ± 2.9 vs. 26.6 ± 3.6, p = 0.006) and PSQI scores (7.9 ± 2.6 vs. 4.2 ± 1.9) with respect to patients with normal HRV values (nine patients, HRV≤2).ConclusionsThe results of this study suggest that the prevalence of nocturnal autonomic dysfunction is high in lacunar stroke patients even in the absence of the commonest sleep-related disorders. An abnormal HRV may contribute to increase the risk of stroke recurrence. Based on our results, the indication to polygraphy in patients with lacunar stroke should be carefully considered.     

Temporomandibular disorder severity and diagnostic groups: Their associations with sleep quality and impairments

ObjectivesThis study evaluated the impact of TMD severity on sleep quality and established the associations between TMD diagnostic groups/pain subtypes and sleep impairments.MethodsA total of 1151 patients from a tertiary Dental Hospital were screened for eligibility. Consenting subjects who met the inclusion criteria were directed to complete a general/health questionnaire, the Fonseca Anamnestic Index (FAI), Diagnostic Criteria for Temporomandibular disorders (DC/TMD) Symptom Questionnaire, and Pittsburgh Sleep Quality Index (PSQI) at their intake visit. Patients who screened positive for TMDs with the FAI were subjected to a protocolized physical examination and TMD diagnostic groups/subtypes were subsequently derived based on the DC/TMD “diagnostic tree” and algorithms. Statistical analyses were conducted using non-parametric methods and logistic regression (α = 0.05).ResultsThe final sample consisted of 845 subjects with TMDs and 116 TMD-free controls. The mean age of the TMD and TMD-free subjects were 33.17 ± 13.55 and 31.66 ± 9.50 years. Subjects with severe and moderate TMDs had significantly greater global PSQI scores than those with mild and no TMDs (p < 0.001). Those with pain-related, intra-articular, and combined TMDs reported significantly poorer sleep quality than those with no TMDs (p < 0.001). Moreover, subjects with myalgia and myalgia plus arthralgia presented significantly greater sleep impairments than their counterparts with intra-articular disorders (p < 0.001). Multivariate logistic regression indicated that pain-related (OR = 3.23; CI = 1.69–6.14) and intra-articular TMDs (OR = 1.91; CI = 1.15–3.16) were most related to poor sleep.ConclusionsSleep quality worsened with increasing TMD severity and the presence of painful and intra-articular TMDs increased the likelihood of poor sleep.     

Sleep quality and health service utilization in Chinese general population: a cross-sectional study in Dongguan,China

ObjectivesThe aims of this study were to explore the Pittsburgh Sleep Quality Index (PSQI) and health service utilization in Chinese general population, to investigate the association between PSQI and health service utilization and to identify the independent contributions of social demographic variables, health related factors and PSQI to health service utilization.MethodsIn a cross-sectional community-based health survey using a multi-instrument questionnaire, 4067 subjects (≥15 years old) were studied. The Chinese version of the PSQI was used to assess sleep quality. Health service utilization was measured by recent two-week physician visit and annual hospitalization rates.ResultsHigher PSQI scores were associated with more frequent health service utilization. Higher scores in subjective sleep quality were associated with higher rate of recent two-week physician visit (adjusted OR = 1.24 per SD increase, P = 0.015). Higher scores in habitual sleep efficiency (adjusted OR = 1.24 per SD increase, P = 0.038) and sleep disturbances (adjusted OR = 2.09 per SD increase, P < 0.001) were associated with more frequent annual hospitalization. The independent influence of PSQI on the risk of recent two-week physician visit was 0.7%, and that of annual hospitalization 31.4%.ConclusionsPoorer sleep quality predicted more frequent health service utilization. The independent contribution of PSQI on health service utilization was smaller than social demographic variables.     

The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19

ObjectiveTo evaluate sleep disturbances of Chinese frontline medical workers (FMW) under the outbreak of coronavirus disease 2019 (COVID-19), and make a comparison with non-FMW.MethodsThe medical workers from multiple hospitals in Hubei Province, China, volunteered to participate in this cross-sectional study. An online questionnaire, including Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS) and Visual Analogue Scale (VAS), was used to evaluate sleep disturbances and mental status. Sleep disturbances were defined as PSQI>6 points or/and AIS>6 points. We compared the scores of PSQI, AIS, anxiety and depression VAS, as well as prevalence of sleep disturbances between FMW and non-FMW.ResultsA total of 1306 subjects (801 FMW and 505 non-FMW) were enrolled. Compared to non-FMW, FMW had significantly higher scores of PSQI (9.3 ± 3.8 vs 7.5 ± 3.7; P < 0.001; Cohen's d = 0.47), AIS (6.9 ± 4.3 vs 5.3 ± 3.8; P < 0.001; Cohen's d = 0.38), anxiety (4.9 ± 2.7 vs 4.3 ± 2.6; P < 0.001; Cohen's d = 0.22) and depression (4.1 ± 2.5 vs 3.6 ± 2.4; P = 0.001; Cohen's d = 0.21), as well as higher prevalence of sleep disturbances according to PSQI > 6 points (78.4% vs 61.0%; relative risk [RR] = 1.29; P < 0.001) and AIS > 6 points (51.7% vs 35.6%; RR = 1.45; P < 0.001).ConclusionFMW have higher prevalence of sleep disturbances and worse sleep quality than non-FMW. Further interventions should be administrated for FMW, aiming to maintain their healthy condition and guarantee their professional performance in the battle against COVID-19.     

Tired telomeres: Poor global sleep quality,perceived stress,and telomere length in immune cell subsets in obese men and women

Poor sleep quality and short sleep duration are associated with increased incidence and progression of a number of chronic health conditions observed at greater frequency among the obese and those experiencing high levels of stress. Accelerated cellular aging, as indexed by telomere attrition in immune cells, is a plausible pathway linking sleep and disease risk. Prior studies linking sleep and telomere length are mixed. One factor may be reliance on leukocytes, which are composed of varied immune cell types, as the sole measure of telomere length. To better clarify these associations, we investigated the relationships of global sleep quality, measured by the Pittsburgh Sleep Quality Index (PSQI), and diary-reported sleep duration with telomere length in different immune cell subsets, including granulocytes, peripheral blood mononuclear cells (PBMCs), CD8+ and CD4+ T lymphocytes, and B lymphocytes in a sample of 87 obese men and women (BMI mean = 35.4, SD = 3.6; 81.6% women; 62.8% Caucasian). Multiple linear regression analyses were performed adjusting for age, gender, race, education, BMI, sleep apnea risk, and perceived stress. Poorer PSQI global sleep quality was associated with statistically significantly shorter telomere length in lymphocytes but not granulocytes and in particular CD8+ T cells (b = −56.8 base pairs per one point increase in PSQI, SE = 20.4, p = 0.007) and CD4+ T cells (b = −37.2, SE = 15.9, p = 0.022). Among separate aspects of global sleep quality, low perceived sleep quality and decrements in daytime function were most related to shorter telomeres. In addition, perceived stress moderated the sleep-CD8+ telomere association. Poorer global sleep quality predicted shorter telomere length in CD8+ T cells among those with high perceived stress but not in low stress participants. These findings provide preliminary evidence that poorer global sleep quality is related to telomere length in several immune cell types, which may serve as a pathway linking sleep and disease risk in obese individuals.     

Acute effects of noninvasive ventilation on sleep physiology in patients with moderate to severe stable chronic obstructive pulmonary disease: a pilot study

Objective/backgroundChanges in sleep architecture in patients with Chronic Obstructive Pulmonary Disease (COPD) can be explained by a combination of physiological changes in breathing during sleep, with impairment of respiratory mechanics and reduction of arterial oxygenation. This study aimed to evaluate the acute effects of noninvasive ventilation (NIV) – compared to spontaneous breathing – on sleep latency and stages, and on the occurrence of sleep-related respiratory events, nocturnal hypoxemia, and changes in heart rate (HR) in patients with moderate to severe stable COPD.Patients/methodsPatients completed two polysomnography (PSG) studies: one during spontaneous breathing and one while receiving NIV in bilevel mode and with backup respiratory rate (RR.) setting. Sleepware G3 software was used for the analysis of PSG and pressure, volume, and ventilator flow curves × time.ResultsParticipants were 10 female patients with a mean age of 68.1 ± 10.2 years. NIV during sleep decreased sleep onset latency (17 ± 18.8 min vs 46.8 ± 39.5 min; p = 0.02), increased REM sleep time (41.2 ± 24.7 min vs 19.7 ± 21.7 min; p = 0.03), and decreased the obstructive apnea index (OAI) (0 vs 8.7 ± 18.8; p = 0.01). Lower mean HR (66.6 ± 4.1 bpm vs 70.6 ± 5.9 bpm; p = 0.03) and lower maximum HR (84.1 ± 7.3 bpm vs 91.6 ± 7.8 bpm; p = 0.03) were observed in PSG with NIV.ConclusionsThe use of NIV in patients with moderate to severe stable COPD while they were sleeping increased REM sleep time and decreased sleep onset latency, the number of obstructive respiratory events, and the mean and maximum HR.     

Idiopathic hypersomnia: a homogeneous or heterogeneous disease?

IntroductionIdiopathic hypersomnia (IH) is a rare orphan disease characterized by excessive daytime sleepiness, frequently accompanied by prolonged nocturnal sleep and difficulties awakening, termed sleep inertia or sleep drunkenness. Severe sleepiness usually causes a greater handicap than manifestations of narcolepsy.MethodsForty-three IH patients (17 male, mean age 42.8 ± SD 12.2 years, range 20–67), diagnosed in the past 20 years according to ICSD-2 or ICSD-3 criteria were invited for clinical examination to evaluate the course, manifestations and severity of the disease, as well as clinical comorbidities. The patients completed a set of questionnaires scoring sleepiness, sleep inertia, fatigue, depression, anxiety, circadian preference, and quality of life.ResultsIH patients were divided according to the duration of nocturnal sleep at the time of their diagnosis into two cohorts: (1) with normal sleep duration (n = 25, 58.1%) and (2) with long sleep duration (n = 18, 41.9%). The mean duration of ad libitum sleep per 22 h in the second cohort was 732.0 ± 115.4 min (range 603–1100), and women markedly prevailed (n = 14, 77.8%). Age at disease onset was younger in the group with long sleep duration (21.2 ± 11.4 years versus 28.1 ± 13.6 years, p = 0.028), their MSLT latency was longer (7.2 ± 3.7 min versus 5.1 ± 1.7 min, p = 0.005), a history of sleep inertia prevailed (p = 0.005), and daily naps were mostly non-refreshing (p = 0.014). Additionally, questionnaires in the group with long sleep duration showed more severe sleep inertia (p = 0.007), fatigue (p = 0.004), and a tendency towards evening chronotype (p = 0.001).ConclusionsIH patients with long sleep duration differ clinically as well as by objective measures at the time of diagnosis and in long-term follow up from IH patients without long 24-h sleep time. In our opinion they represent an independent clinical entity to be considered in the revised ICSD-3 criteria.     

Effect of Tai Ji Quan training on self-reported sleep quality in elderly Chinese women with knee osteoarthritis: a randomized controlled trail

ObjectiveThe purpose of this study was to explore the effects of a 24-week Tai Ji Quan training program on sleep quality, quality of life, and physical performance among elderly Chinese women with knee osteoarthritis (OA).MethodsA 24-week randomized, controlled trial of 46 elderly women with knee OA. Participants were randomly assigned to either a Tai Ji Quan group (n = 23) or a control group (n = 23). Participants in the Tai Ji Quan group completed training sessions three times per week, while those in the control group had bi-weekly educational classes. The primary outcome was total score of the Pittsburgh Sleep Quality of Index (PSQI). Secondary outcomes were: seven subscales of the PSQI; sleep latency; total sleep time; sleep efficiency; physical component summary (PCS) and mental component summary (MCS) of the 36-item Short Form Health Survey (SF-36); Berg Balance Scale (BBS); and Timed Up and Go (TUG).ResultsCompared with the control group, participants in the Tai Ji Quan group had significantly improved primary outcome (global PSQI score, p = 0.006) and secondary outcomes, including three PSQI sub-scores (sleep latency, p = 0.031; sleep duration, p = 0.043; daytime dysfunction, p = 0.007), total sleep time (p = 0.033), and SF-36 PCS (p = 0.006). The Tai Ji Quan group also had significant improvements compared with baseline in three PSQI sub-scores (sleep latency, p = 0.031; habitual sleep efficiency, p = 0.049; sleep disturbance, p = 0.016), sleep latency (p = 0.003), BBS (p = 0.001), and TUG (p = 0.006).ConclusionTai Ji Quan training is an effective treatment approach to improve sleep quality and quality of life in elderly Chinese women with knee OA.Trial registration: Chinese Clinical Trial Registry (June 16, 2013): ChiCTR-TRC-13003264.     

Investigation on sleep and mental health of patients with Parkinson's disease during the Coronavirus disease 2019 pandemic

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic is adversely affecting sleep quality and mental health, especially in individuals with chronic disease such as Parkinson's disease (PD).MethodsWe conducted a quantitative study, which included 119 Chinese PD patients who had been treated in an outpatient neurology clinic in Wuhan and 169 age- and sex-matched healthy controls. The questionnaire survey focused on the impact of the COVID-19 pandemic on sleep, mental status, symptoms, and daily life and medical treatment of PD patients.ResultsCompared to healthy controls, PD patients had significantly higher scores in both the Pittsburgh Sleep Quality Index (PSQI) (8.13 vs 5.36, p < 0.001) and the Hospital Anxiety and Depression Scale (HADS) -Depression (4.89 vs 3.82, p = 0.022), as well as a higher prevalence of sleep disturbances with PSQI > 5 points (68.9% vs 44.4%, p < 0.001). Sleep disturbance was identified in 68.9% of PD patients. A logistic regression analysis showed that sleep disturbance of PD patients was independently associated with exacerbation of PD symptoms (OR = 3.616, 95%CI= (1.479, 8.844), p = 0.005) and anxiety (OR = 1.379, 95%CI= (1.157, 1.642), p < 0.001). Compared to male PD patients, female ones had higher PSQI scores (9.28 ± 4.41 vs 7.03 ± 4.01, p = 0.009) and anxiety (32.8% vs 0.1%, p = 0.002) and depression prevalence (34.5% vs 11.5%, p = 0.003).ConclusionThe findings of the present study emphasize the importance of mental and sleep health interventions in PD patients during the COVID-19 pandemic. Additional attention should be paid to the difficulty encountered by PD patients in seeking medical treatment.     

Sleep architecture in patients with Juvenile Myoclonic Epilepsy

AimThe aim is to analyze the sleep architecture using polysomnography (PSG) in patients with Juvenile Myoclonic Epilepsy (JME): (newly diagnosed and those on valproate drug) attending epilepsy clinic at Alexandria University Hospitals.MethodsThis study involved 20 patients with JME on valproate (age: 22.40 ± 5.80 years; M:F = 6:14), 20 newly diagnosed patients (age: 18.55 ± 6.0 years; M:F = 6:14), and 20 matched healthy controls (age: 22.10 ± 5.0 years; M:F = 6:14). Clinical assessment, electroencephalogram (EEG), evaluation with comprehensive sleep questionnaire, and PSG were done for all patients.ResultsPSG showed significant alterations in sleep architecture in the total JME group in the form of reduced mean sleep efficiency (p = 0.001¹), increased mean Rapid eye movement (REM) onset latency (p = 0.046¹), decrease mean REM percentage (p = 0.011¹), increased mean wakefulness after sleep onset (p = 0.018¹), increase the index of total arousal (p = 0.005¹), increased mean periodic limb movement index (P = 0.001¹), and reduced apnea hypopnea index (P = <0.001) in comparison to control group. Valproate treated group showed increased sleep efficiency (p = 0.040¹), decreased REM arousal index (P = 0.012), longer stage 3 (P = 0.038), and prolonged stage 2 (P = 0.049¹) than the newly diagnosed group.ConclusionsSleep architecture was significantly disturbed in JME, with improvement in sleep efficiency in valproate treated patients.     

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.     

Individuals with pain need more sleep in the early stage of mild traumatic brain injury

ObjectiveHypersomnia is frequently reported after mild traumatic brain injury (mTBI), but its cause(s) remain elusive. This study examined sleep/wake activity after mTBI and its association with pain, a comorbidity often associated with insomnia.MethodsActigraphy recording was performed for 7 ± 2 consecutive days in 56 individuals at one month post-mTBI (64% male; 38 ± 12 years), 24 individuals at one year post-mTBI (58% male; 44 ± 11years), and in 20 controls (50% male; 37 ± 12 years). Pain intensity and its effect on quality of life was assessed with a visual analogue scale and the Short Form Health Survey (SF-36) bodily pain subscale.ResultsOverall, few differences in sleep/wake patterns were found between mTBI patients and controls. However, higher percentages of mTBI individuals with moderate-to-severe pain were found to require more than eight hours of sleep per day (37% vs11%; p = 0.04) and to be frequent nappers (defined as those who took three or more naps per week) (42% vs 22%; p = 0.04) compared to those with mild or no pain at one month postinjury. Correcting for age and depression, The SF-36 score was found to be a significant predictor of sleep duration exceeding eight hours per day at one month (odds ratio = 0.95; 95% confidence interval = 0.92–0.99; p = 0.01), but not at one year post-mTBI. Pain and increased sleep need (in terms of hours per day or napping frequency) were found to co-exist in as much as 29% of mTBI patients at one month postinjury.ConclusionPain could be associated with more pronounced sleep need in about one-third of mTBI patients during early recovery. Unalleviated pain, found in more than 60% of mTBI patients, should therefore be looked for in all mTBI patients reporting new onset of sleep disorder, not only in those with insomnia.