Relationships among cognitive impairment,sleep, and fatigue in Parkinson's disease using the MDS-UPDRS

BackgroundNon-motor complications of Parkinson's disease (PD), specifically cognitive impairment, sleep disturbances, and fatigue, are recognized as important contributors to poor patient outcomes and quality of life. How sleep problems and fatigue interrelate and impact cognitive function, however, has not systematically been investigated across the stages of PD. The aim of our study was to investigate the relationships among cognitive impairment, night-time sleep problems, daytime sleepiness, and fatigue across all severities of PD.MethodsWe examined these non-motor problems using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) in a study of 1319 PD patients drawn from three large cohort studies: the Parkinson's Progressive Markers Initiative, the Rush University PD Cognitive-Behavioral-Imaging study, and the Movement Disorder Society-Unified Parkinson's Disease Rating Scale Clinimetric testing program study, which spanned the gamut of disease, from early to advanced PD. Generalized linear mixed models with logit linking functions and covariates including study cohort, age, PD duration, and presence/absence of PD medications were used to examine relationships between these three non-motor symptoms and cognitive impairment.ResultsOf these three frequent, and often inter-twined, non-motor complications, greater daytime sleepiness and fatigue were associated with worse cognitive impairment across the full spectrum of PD (F[16,1158] = 2.40 and F[16,1158] = 3.45 respectively, p's < 0.0005), but an association with night-time sleep was not detected (p = 0.83).ConclusionsGiven this association of daytime sleepiness and fatigue with cognitive impairment, clinical monitoring for these problems should be considered across all points in the PD spectrum, from early to more advanced disease.     

Dissociations among daytime sleepiness,nighttime sleep,and cognitive status in Parkinson's disease

BackgroundDaytime and nighttime sleep disturbances and cognitive impairment occur frequently in Parkinson's disease (PD), but little is known about the interdependence of these non-motor complications. Thus, we examined the relationships among excessive daytime sleepiness, nighttime sleep quality and cognitive impairment in PD, including severity and specific cognitive deficits.MethodsNinety-three PD patients underwent clinical and neuropsychological evaluations including the Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). Patients were classified as having normal cognition (PD-NC), mild cognitive impairment (PD-MCI), or dementia (PDD) using recently proposed Movement Disorder Society PD-MCI and PDD criteria. Relationships between the sleep and cognitive measures and PD cognitive groups were examined.ResultsThe PD cohort included PD-NC (n = 28), PD-MCI (n = 40), and PDD (n = 25) patients. ESS scores, as a measure of daytime sleepiness, were significantly worse (p = 0.005) in cognitively impaired PD patients, particularly PDD patients. ESS scores correlated significantly with Mini-Mental State Examination scores and also with cognitive domain scores for attention/working memory, executive function, memory, and visuospatial function. In contrast, PSQI scores, as a measure of nighttime sleep quality, neither differed among cognitive groups nor correlated with any cognitive measures.ConclusionsDaytime sleepiness in PD, but not nighttime sleep problems, is associated with cognitive impairment in PD, especially in the setting of dementia, and attention/working memory, executive function, memory, and visuospatial deficits. The presence of nighttime sleep problems is pervasive across the PD cognitive spectrum, from normal cognition to dementia, and is not independently associated with cognitive impairment or deficits in cognitive domains.     

Effect of sleep extension on sluggish cognitive tempo symptoms and driving behavior in adolescents with chronic short sleep

Objective/backgroundFew adolescents report obtaining adequate amounts of sleep. Correlational studies have linked adolescent short sleep with driving crashes and sluggish cognitive tempo (SCT), a cluster of symptoms that include sluggishness and low persistence that are related to but distinct from inattention and sleepiness. The relationship between SCT and driving is understudied, and no study has experimentally examined the relationship between SCT and sleep. We examined the relationship between SCT and driving problems in a sample of chronically short-sleeping adolescents. We also examined whether experimentally extending sleep improved SCT and driving behaviors.Participants/MethodsLicensed 16- to 18-year-old adolescents who regularly obtained five to seven hours of sleep completed a five-week at-home experimental protocol: a baseline week to determine typical sleep (TYP), followed in a counterbalanced order by two-week spans in which school-night bedtimes and rise times were (a) matched to TYP or (b) modified to extend (EXT) time in bed by 1.5 h/night. Sleep was monitored by actigraphy. Self- and parent-reported SCT and inattention and self-reported driving problems were recorded at baseline and following each condition. Of the 38 eligible participants who completed the baseline session, 24 completed all five weeks of the protocol.ResultsAfter controlling for inattention, only parent-reported SCT was significantly positively associated with self-reported purposeful driving violations at baseline. Adolescents reported lesser SCT during EXT than during TYP. Further, after controlling for inattention, participants who reported improvement in SCT demonstrated fewer driving problems during EXT than during TYP.ConclusionsPreliminary findings suggest that extending sleep in short-sleeping adolescents may help alleviate SCT symptoms and improve driving.     

Racial disparities in sleep health between Black and White young adults: The role of neighborhood safety in childhood

ObjectivesBlack adults in the United States have shorter sleep durations and poorer sleep efficiency relative to White adults, yet reasons for these disparities are not well explicated. The objective of this study was to examine neighborhood safety in childhood as a mediator of subsequent racial disparities in sleep.MethodsData were from Black and White young adults attending a large, predominantly White university in the Southeastern United States (N = 263; 52% Black, 53% female; Mean age = 19.21 years, SD = 1.01). Sleep parameters were assessed from eight nights of wrist actigraphy (time in bed, sleep duration, and efficiency) and an established self-report measure of daytime sleepiness. Residential histories from birth through age 18 were documented, and retrospective self-reports of neighborhood safety in childhood were assessed.ResultsBlack participants had less time in bed (p < 0.001), shorter sleep duration (p < 0.001), poorer sleep efficiency (p < 0.001), and more daytime sleepiness (p = 0.009) than White participants. Neighborhood safety mediated race differences in time in bed (p = 0.028), sleep duration (p = 0.033), and daytime sleepiness (p = 0.048), but not sleep efficiency. Findings were substantively unchanged after adjustment for family socioeconomic status, BMI, and substance use.ConclusionsFindings support the hypothesis that neighborhood safety in childhood may partially account for race differences in subsequent sleep duration and daytime sleepiness. Addressing racial inequities in childhood neighborhood safety may be an important step toward reducing racial disparities in sleep health.     

Association between physical activity,screen time activities,diet patterns and daytime sleepiness in a sample of Brazilian adolescents

ObjectiveTo examine the association between physical activity, screen time, eating habits and daytime sleepiness among Brazilian adolescents.MethodsAdolescents from three high schools (n = 876, 49.8% female, 16.4 ± 1.2 years) participated in this cross-sectional survey. Variables related to lifestyle behaviors (ie, physical activity, screen time, eating habits, sleep duration) were collected through an online questionnaire. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale (PDSS). Excessive daytime sleepiness was defined as a PDSS score ≥20.ResultsThe average PDSS score was 18.9 (SD ± 4.8) points and 46.8% of adolescents were classified as having excessive daytime sleepiness. Physical activity was inversely associated with PDSS score (β = −0.29, 95% CI -0.47; −0.11). Consuming processed foods frequently (β = 1.16, 95% CI 0.85; 1.47) and using social media (β = 0.22, 95% CI 0.14; 0.30) were positively associated with PDSS score. Similar findings were observed for the odds of excessive daytime sleepiness. Physical activity was inversely associated (OR = 0.91, 95% CI 0.84; 0.99), while frequent consumption of processed foods (OR = 1.55, 95% CI 1.33; 1.82) and using social media (OR = 1.13, 95% CI 1.02; 1.24) were positively associated with excessive daytime sleepiness.ConclusionsLower physical activity level, a higher consumption processed foods, and higher social media use were associated with daytime sleepiness in this sample of Brazilian adolescents.     

Sleep and impulsivity in Parkinson's disease

BackgroundImpulsive behavior and poor sleep are important non-motor features of Parkinson's disease (PD) that negatively impact the quality of life of patients and their families. Previous research suggests a higher level of sleep complaints in PD patients who demonstrate impulsive behaviors, but the nature of the sleep disturbances has yet to be comprehensively tested.MethodsConsecutive idiopathic PD patients (N = 143) completed the Minnesota Impulse Disorder Interview and a sleep questionnaire that assessed sleep efficiency, excessive daytime sleepiness, restless legs symptoms, snoring, dreams/nightmares, and nocturia. Patients were also given a Unified Parkinson's Disease Rating Scale motor examination and they completed cognitive testing.ResultsImpulsive PD patients endorsed more sleep complaints than non-impulsive PD patients. The group difference was primarily attributable to poor sleep efficiency (e.g., greater nocturnal awakenings), p < .01, and greater daytime sleepiness, p < .01, in the impulsive PD patients. Interestingly, restless legs symptoms were also greater in the impulsive PD patients, p < .05. The results could not be explained by medications or disease severity.ConclusionsPoor sleep efficiency, restless legs symptoms, and increased daytime sleepiness are associated with impulsivity in PD. Longitudinal studies are needed to determine whether sleep disturbances precede impulsivity in PD.     

The association between Disruptive Mood Dysregulation Disorder symptoms and sleep problems in children with and without ADHD

BackgroundMany youth experience persistent irritability and recurrent temper outbursts, conceptualized by DSM-5 as Disruptive Mood Dysregulation Disorder (DMDD). Sleep deprivation impairs emotion regulation which could increase rates of DMDD symptoms, especially in those with preexisting regulatory impairments, as seen with ADHD. However, there has been little examination of the relationship between chronic sleep problems and DMDD symptoms.MethodsAssociations between DMDD symptoms and sleep parameters in children were assessed using parent-report and objective measures of sleep in a general population sample (N = 665) and an ADHD sample (N = 784). Irritability, temper outbursts, sleep problems and other psychological problems were assessed with the Pediatric Behavior Scale. The general population study also completed overnight polysomnography (PSG).ResultsDMDD symptoms were reported in 9.2% of the community sample and 31.4% of the ADHD sample. In both samples, children with DMDD symptoms had significantly higher parent-reported sleep problems than children without DMDD symptoms. Children with sleep problems had significantly higher DMDD scores than children without sleep problems. However, DMDD symptoms were most strongly associated with oppositional behavior. Sleep problems were not a significant contributor. Hyperactivity-impulsivity was most strongly associated with sleep problems, and DMDD was not a significant contributor. Children with and without DMDD symptoms did not differ significantly on any PSG parameter.ConclusionsAssociations between parent-reported sleep problems and DMDD symptoms were due to their shared relationship with other behavioral problems. Therefore, chronic sleep problems do not appear to be a primary source of DMDD symptoms in children with or without ADHD.     

COVID-19 babies: auto-videosomnography and parent reports of infant sleep,screen time,and parent well-being in 2019 vs 2020

ObjectiveThe COVID-19 pandemic has profoundly impacted families, yet studies on its effects on infants and their parents have thus far been sparse and based mostly on retrospective parent reporting. This study aimed to prospectively evaluate the impact of COVID-19 living conditions on infant and parent sleep, as well as infant screen exposure, parent daytime sleepiness, and parent depression levels, using multi-method assessment.MethodsInfant and parent data collected in 2020 were compared with a matched cohort collected in 2019. The total sample included 1518 US infants aged 1–18 months (M = 8.5, SD = 4.6; 54% boys). Auto-videosomnography metrics were obtained from the 14-day period prior to survey completion (number of analyzed nights: M = 12.11 SD = 2.66 in the 2019 cohort; and M = 11.91 SD = 2.41 in the 2020 cohort). Parents completed online questionnaires regarding their infant's sleep and screen exposure, as well as their own sleep quality, daytime sleepiness, and depression levels.ResultsCompared to 2019, infants in 2020 slept ∼40 min more per night on average, as indicated by auto-videosomnography. Infants additionally had earlier sleep timing, and increased parent-reported sleep-onset latency and nocturnal wakefulness. Infant screen time rose by 18.3 min per day for older infants, but remained stable for younger infants. Parents reported lower daytime sleepiness and higher depression symptomology during 2020, whereas no change was apparent in their sleep quality ratings.ConclusionsRestricted living conditions during COVID-19 in the USA led to increased infant screen exposure and parental depression, but also to increased infant sleep duration and reduced parent sleepiness. Future research is needed to examine the mechanistic pathways through which COVID-19 impacted on infant and parent well-being.     

Sleep disorders and daytime sleepiness in children with attention-deficit/hyperactivity disorder: A two-night polysomnographic study with a multiple sleep latency test

ObjectiveTo evaluate sleep macrostructure, sleep disorders incidence and daytime sleepiness in attention-deficit/hyperactivity disorder (ADHD) affected children compared with controls.MethodsThirty-one patients (26 boys, 5 girls, mean age 9.3 ± 1.7, age range 6–12 years) with ADHD diagnosed according to DSM-IV criteria, without comorbid psychiatric or other disorders, as never before pharmacologically treated for ADHD. The controls were 26 age- and sex-matched children (22 boys, 4 girls, age range 6–12 years, mean age 9.2 ± 1.5). Nocturnal polysomnography (PSG) was performed for two nights followed by the multiple sleep latency test (MSLT).ResultsNo differences between the two groups comparing both nights were found in the basic sleep macrostructure parameters or in the time (duration) of sleep onset. A first-night effect on sleep variables was apparent in the ADHD group. Occurrence of sleep disorders (sleep-disordered breathing [SDB], periodic limb movements in sleep [PLMS], parasomnias) did not show any significant differences between the investigated groups. A statistically significant difference (p = 0.015) was found in the trend of the periodic limb movement index (PLMI) between two nights (a decrease of PLMI in the ADHD group and an increase of PLMI in the control group during the second night). While the mean sleep latency in the MSLT was comparable in both groups, children with ADHD showed significant (sleep latency) inter-test differences (between tests 1 and 2, 1 and 4, 1 and 5, p < 0.01).ConclusionAfter the inclusion of adaptation night and exclusion of psychiatric comorbidities, PSG showed no changes in basic sleep parameters or sleep timing, or in the frequency of sleep disorders (SDB, PLMS) in children with ADHD compared with controls, thus not supporting the hypothesis that specific changes in the sleep macrostructure and sleep disturbances are connected with ADHD. A first-night effect on sleep variables was apparent only in the ADHD group. Though we found no proof of increased daytime sleepiness in children with ADHD against the controls, we did find significant vigilance variability during MSLT in the ADHD group, possibly a sign of dysregulated arousal.     

Sleep and circadian rhythm alterations correlate with depression and cognitive impairment in Huntington's disease

ObjectiveSleep disturbances are a prominent feature of Huntington's disease (HD) and can substantially impair patients' quality of life. However, sleep complaints and their association with other symptoms and signs of HD have not yet been assessed in large groups of patients or premanifest mutation carriers. Therefore, we aimed to delineate the nature of subjective sleep disturbances and identify important correlates of sleep impairment in HD patients and premanifest mutation carriers.Subjects & methodsUsing standardized questionnaires (including Epworth's Sleepiness Scale, Pittsburgh Sleep Quality Index, SCOPA-SLEEP, and Beck's Depression Inventory), daytime sleepiness, night-time sleep, and depressed mood were assessed in 63 HD patients, 21 premanifest mutation carriers and 84 controls.ResultsNight-time sleep impairment was significantly more prevalent in HD patients compared with controls (58.1% vs. 34.9%, p = 0.012), but daytime sleepiness was not (12.7% vs. 7.9%, p = 0.560). Depression was the only independent correlate of night-time sleep impairment in HD patients, accounting for 10% of the variance. Compared with controls, both sleep onset latency and wake-up time were significantly delayed in HD patients. Moreover, in HD patients, later wake-up time was significantly associated with cognitive score (r = −0.43), total functional capacity (r = −0.54) and depressive symptoms (r = +0.47). In general, the degree of sleep (phase) changes in premanifest mutation carriers lay in between those of HD patients and controls.ConclusionsHD is primarily accompanied by night-time sleep disturbances and a delayed sleep phase, which are associated with depression and lower cognitive as well as functional performance.     

Total durations of respiratory events are modulated within REM and NREM sleep by sleeping position and obesity in OSA patients

BackgroundSupine sleeping position and obesity are well-known risk factors for obstructive sleep apnea (OSA) and modulate the risk for OSA-related daytime symptoms. Although respiratory event durations are associated with OSA-related severe health consequences, it is unclear how sleeping position, obesity, and daytime sleepiness are associated with respiratory event durations during REM and NREM sleep. We hypothesize that irrespective of the apnea-hypopnea index (AHI), respiratory event durations differ significantly between various OSA subgroups during REM and NREM sleep.MethodsOne night in-lab polysomnographic recordings were retrospectively analyzed from 1910 untreated suspected OSA patients. 599 patients (AHI ≥ 5) were included in study and divided into subgroups based on positional dependency, BMI, and daytime sleepiness (Epworth Sleepiness Scale and Multiple Sleep Latency Test). Differences in total hypopnea time (THT), total apnea time (TAT), and total apnea-hypopnea time (TAHT) within REM and NREM sleep between the subgroups were evaluated.ResultsDuring REM sleep, positional OSA patients had lower THT (OR = 0.952, p < 0.001) and TAHT (OR = 0.943, p < 0.001) than their non-positional counterparts. Compared to normal-weight patients (BMI < 25 kg/m²), obese patients (BMI ≥ 30 kg/m²) had lower THT, TAT, and TAHT (ORs = 0.942–0.971, p ≤ 0.009) during NREM sleep but higher THT (OR = 1.057, p = 0.001) and TAHT (OR = 1.052, p = 0.001) during REM sleep. No significant differences were observed in THT, TAT, and TAHT between patients with and without daytime sleepiness.ConclusionRegardless of the AHI, respiratory event durations vary significantly between OSA sub-groups during REM and NREM sleep. Therefore, to personalize OSA severity estimation the diagnosis should be tailored based on patient's demographics, clinical phenotype, and PSG characteristics.     

Association between sleep patterns and daytime functioning in children with insomnia: The contribution of parent-reported frequency of night waking and wake time after sleep onset

ObjectiveThe aim of this study was to investigate the association between sleep patterns and daytime functioning in children with insomnia. Furthermore, the role of frequency of night waking and wake time after sleep onset for daytime functioning was analyzed in the context of total sleep time and sleep onset latency.MethodsFamilies with children with parent-perceived sleep problems were recruited for diagnostic clarification and subsequent treatment (if indicated) at an outpatient clinic. Out of 49 families seeking help, 34 children (age 5.2–10.9 years, mean 7.1 years) and their parents were included in the present study. Sleep and sleep problems were assessed by a structured clinical interview according to the diagnostic criteria of the International Classification of Sleep Disorders (ICSD-II). Parents kept a sleep diary over two weeks. In addition, they answered the Child Behavior Checklist, questions concerning the daytime sleepiness of their children, as well as a structured clinical interview assessing comorbid mental disorders.ResultsReduced parent-reported total sleep time predicted more delinquent behavior and more concentration problems. Independent of total sleep time and frequency of night waking, longer parent-reported wake time after sleep onset was associated with greater daytime sleepiness, which in turn predicted more social problems.ConclusionsBesides total sleep time, wake time after sleep onset could be another important determinant for specific aspects of daytime functioning in children with insomnia.     

The relationship between weight change and daytime sleepiness: the Sleep Heart Health Study

ObjectiveThrough a causal framework, we aim to assess the association between weight change and daytime sleepiness, and the role of obstructive sleep apnoea (OSA) in this relationship.MethodsFrom the Sleep Heart Health Study, we selected individuals who were: (1) 40–64 years old, with (2) body mass index (BMI) ≥18.5 kg/m², (3) no history of stroke, treatment for OSA, and tracheostomy at baseline. We used multiple linear regression to assess the relationship between five-year weight change and daytime sleepiness (assessed through Epworth Sleepiness Scale (ESS)) at five years, adjusting for daytime sleepiness, demographics, diabetes, subjective sleep duration, sleep disturbance, smoking status, weight, and use of antidepressants and benzodiazepines at baseline, in those with complete data (N = 1468). We further assessed the potential mediating role of OSA in this relationship.ResultsAt baseline, the study participants were on average 55 years old, 46% males, with mean BMI 28 kg/m²; and 25% had ESS>10. ESS at five years worsened by 0.36 units (95% confidence interval (CI) 0.12–0.61, p = 0.004) with every 10-kg weight gain. When stratified by sex, this relationship was only found in women (0.55, 95% CI 0.25–0.86, p < 0.001; p-interaction = 0.02). Approximately one-fifth of the relationship between weight change and daytime sleepiness was mediated by severity of OSA at five years.ConclusionWeight gain has a detrimental effect on daytime sleepiness, mostly through pathways other than OSA. This study provides further evidence and understanding of the relationship between obesity and excessive daytime sleepiness.     

The short and long of adolescent sleep: the unique impact of day length

Study objectivesVariation in day length is proposed to impact sleep, yet it is unknown whether this is above the influence of behavioural factors. Day length, sleep hygiene, and parent-set bedtime were simultaneously explored, to investigate the relative importance of each on adolescents’ sleep.MethodsAn online survey was distributed in four countries at varying latitudes/longitudes (Australia, The Netherlands, Canada, Norway).ResultsOverall, 711 (242 male; age M = 15.7 ± 1.6, range = 12–19 yrs) adolescents contributed data. Hierarchical regression analyses showed good sleep hygiene was associated with earlier bedtime, shorter sleep latency, and longer sleep (β = −0.34; −0.30; 0.32, p < 0.05, respectively). Shorter day length predicted later bedtime (β = 0.11, p = 0.009), decreased sleep latency (β = −0.21, p < 0.001), and total sleep (β = −0.14, p = 0.001). Longer day length predicted earlier bedtimes (β = −0.11, p = 0.004), and longer sleep (β = 0.10, p = 0.011).ConclusionsSleep hygiene had the most clinical relevance for improving sleep, thus should be considered when implementing adolescent sleep interventions, particularly as small negative effects of shorter day length may be minimised through sleep hygiene techniques.     

Self-efficacy is associated with better sleep quality and sleep efficiency in adults with subarachnoid hemorrhage

Subarachnoid hemorrhage (SAH) survivors often experience sleep disturbances. Self-efficacy for managing chronic disease may impact sleep for SAH survivors; however, little is known about the relationship between self-efficacy and subjective and objective sleep measures. The purpose of this study was to examine the associations among self-efficacy and subjective (nighttime sleep quality and daytime sleepiness) and objective (total sleep time [TST], wake after sleep onset [WASO], and sleep efficiency [SE]) sleep measures in SAH survivors. A cross-sectional study with a convenience sample of 30 SAH survivors was conducted. Self-efficacy was assessed with the Self-Efficacy for Managing Chronic Disease scale. Nighttime sleep quality and daytime sleepiness were assessed with the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale, respectively. SAH survivors wore a wrist actigraph for 7 days to estimate TST, WASO, and SE. Analyses revealed that, within 3 months post-SAH, 73% of SAH survivors experienced poor sleep quality and 27% reported excessive daytime sleepiness. In addition, 41.4% of the participants slept on average either < 7 h or > 9 h. Self-efficacy was correlated with nighttime sleep quality (r = -0.394, p = .031) and SE (r = 0.412, p = .026), but not with daytime sleepiness (r = -0.257, p = .170), TST (r = 0.137, p = .447), or WASO (r = -0.223, p = .246). Sleep disturbances are prevalent in SAH survivors. Targeted interventions focused on self-efficacy and self-management behaviors in this population may improve sleep and lead to better health.     

Sleep duration and daytime sleepiness in a large sample of Brazilian high school adolescents

ObjectiveTo investigate the prevalence and main factors associated with short and long sleep duration and excessive daytime sleepiness in Brazilian adolescents.MethodsThis was a cross-sectional study of 11.525 students of both genders, aged 14–17 years, from the public high-school system. Sleep duration was assessed by self-report and <8 h of sleep per day was considered short sleep and >10 h, long sleep. Socio-demographic and behavioral factors were investigated through a purpose-built questionnaire and daytime somnolence was assessed by the Epworth sleepiness scale (ESS).ResultsThe overall prevalence of short and long sleep was 54.7% and 3.3%, respectively. Frequency of short sleep was lowest in the afternoon shift (38.2%) and highest in the morning shift (62.9%) and full-day students (70.0%). Insufficient sleep was more frequent in working (63.0%) than non-working adolescents (53.1%; p = 0.001) and among those who used their cell phone before bedtime (56.3%) compared to non-users (49.7%, p = 0.001). On average, ESS score was higher in subjects with short and long sleep (respectively, 9.7 ± 4.4 and 10.0 ± 4.5) compared to those with normal sleep duration (8.9 ± 4.2; p = 0.001).ConclusionInsufficient sleep and excessive daytime sleepiness are very common among urban high-school Brazilian adolescents. Full day and morning school shifts are associated with short sleep and daytime somnolence, suggesting later start times may have a role in reducing sleep loss in these subjects. Older age, work activity, and cell phone use before bedtime, are also risk factors for of short sleep in adolescents. Although less common, long sleep can also be associated with excessive daytime sleepiness.     

Beyond a motor disorder: A prospective evaluation of sleep quality in cervical dystonia

BackgroundLittle is known about sleep disturbances in cervical dystonia (CD), particularly the relationship to motoric symptoms. It is critical to clarify these points given the impact on quality of life.MethodsPrimary CD patients receiving botulinum toxin (BoNT) injections and age- and gender- matched healthy controls were included. In both groups, sleep quality and daytime sleepiness were assessed. In CD, these assessments were repeated following BoNT injections. CD severity, mood symptoms, and health impact of CD were also assessed.Results54 CD patients and 55 controls were included. Impaired sleep quality was more frequent in CD compared to controls (t = 4.82, p < 0.0005), even when controlling for the effects of depression, anxiety, and benzodiazepineuse (F = 5.62, p = 0.020). Excessive daytime sleepiness was not significantly different between groups (t = 1.67, p = 0.1). 48 patients received BoNT and returned for follow-up. There was no improvement in sleep quality (t = 0.834, p = 0.41) or daytime somnolence (t = 1.77, p = 0.083) despite improvement in CD severity (t = 4.77, p < 0.0005) with BoNT. There was a small improvement in health impact (t = 2.10, p = 0.04).ConclusionSleep quality was more impaired in CD patients, compared to healthy subjects, and did not improve following BoNT treatment, despite a robust improvement in CD severity. This dichotomy suggests that sleep aberrations in CD require separate focus for effective treatment and cannot be viewed as secondary complications of the motor elements of this condition.     

An epidemiologic study of sleep problems among adolescents in North Taiwan

Background and purposeTo investigate the prevalence of sleep problems and their association with daytime sleepiness among Taiwanese adolescents by use of a validated questionnaire.Patients and methodsThis is a cross-sectional, community based study with self-reported sleep questionnaires. Completed questionnaires from 1939 adolescent subjects from schools in Lin-Kou district (Taipei, Taiwan) (96.7% responded); 1906 valid questionnaires (62.3% girls) were analyzed. The randomly selected classes included elementary grade 6 (age range: 12–13 years), junior high school (age range: 14–16 years) and senior high school students (age range: 17–18 years).ResultThe mean sleep duration on weekdays was 7.35 ± 1.23 h and on weekends 9.38 ± 1.62 h. Weeknight sleep decreased significantly with increasing school grade (6.87 ± 1.14 h for high school seniors). There was a trend towards increased daytime sleepiness for students in higher school grade levels. Daytime sleepiness directly correlated with shorter total sleep time (TST) on weekdays, longer TST on weekends, snoring, insomnia and nightmares. Coffee intake, smoking, periodic leg movement/restless legs syndrome, body mass index (BMI), mouth breathing and breathing problems were indirect factors that induced daytime sleepiness. Pearson correlation showed no significant correlation between the TST during the weekday and BMI (?0.047, p = 0.079) or body weight (BW) (?0.048, p = 0.072). But it showed significant negative correlation (?0.103, p = 0.0001) for increasing total sleep time on the weekend and decreasing BMI.ConclusionsDaytime sleepiness correlated with the shorter TST on weekdays, longer TST on weekends, snoring, insomnia and nightmares. There is no significant correlation between the weekday TST and BMI or BW. Meals and food intake of children are still traditional and have not changed as much in Taiwan as in some other western countries, and compared to a similar survey performed 12 years ago in Taiwan among junior high school students, sleep duration was not significantly different but reduced due to school demands.     

The impact of sleep on adolescent depressed mood,alertness and academic performance

The present study developed and tested a theoretical model examining the inter-relationships among sleep duration, sleep quality, and circadian chronotype and their effect on alertness, depression, and academic performance. Participants were 385 adolescents aged 13–18 years (M = 15.6, SD = 1.0; 60% male) were recruited from eight socioeconomically diverse high schools in South Australia. Participants completed a battery of questionnaires during class time and recorded their sleep patterns in a sleep diary for 8 days. A good fit was found between the model and the data (χ²/df = 1.78, CFI = .99, RMSEA = .04). Circadian chronotype showed the largest association with on adolescent functioning, with more evening-typed students reporting worse sleep quality (β = .50, p < .001) and diminished alertness (β = .59, p < .001). Sleep quality was significantly associated with poor outcomes: adolescents with poorer sleep quality reported less sleep on school nights (β = −.28, p < .001), diminished daytime alertness (β = .33, p < .001), and more depressed mood (β = .47, p < .001). Adolescents with poor sleep quality and/or more evening chronotype were also more likely to report worse grades, through the association with depression. Sleep duration showed no direct effect on adolescent functioning. These results identified the importance of two lesser-studied aspects of sleep: circadian chronotype and sleep quality. Easy-to-implement strategies to optimize sleep quality and maintain an adaptive circadian body clock may help to increase daytime alertness, elevate mood, and improve academic performance.     

Sleep quality and daytime sleepiness in patients treated with adjunctive perampanel for focal seizures

PurposeThe purpose of this study was to evaluate subjective sleep quality and daytime sleepiness in patients receiving adjunctive perampanel for focal seizures.MethodsWe conducted a multicenter, prospective, interventional, open-label study in patients aged > 16 with focal seizures who received adjunctive perampanel (flexible dosing: 2–12 mg). Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and daytime sleepiness with the Epworth Sleepiness Scale (ESS) at baseline and 3 and 6 months after initiating perampanel. Patients with modifications in their baseline AEDs or sleep medications were excluded.ResultsIn 72 patients with drug-resistant focal seizures, mean baseline PSQI score (± standard deviation) was 7.26 (± 4.6), and ESS was 6.19 (± 4.2). At 3 months (median perampanel dose: 4 mg), there was no significant mean change from baseline in ESS score (n = 61) and a significant improvement in PSQI (− 1.51 points; n = 44; p = 0.007), driven mainly by improved sleep efficiency (p = 0.012). In the 31 patients with 6-month data, ESS (but not PSQI) improved significantly at 6 months vs baseline (p = 0.029). The only factor significantly correlated with sleep parameters was number of baseline AEDs (higher number correlated with worse daytime sleepiness). Seizure frequency was reduced significantly from baseline at 3 and 6 months. In bivariate analysis, neither PSQI nor ESS was associated with seizure frequency, suggesting that the changes in daytime sleepiness and sleep quality may be independent of the direct effect on seizures.ConclusionAdjunctive perampanel did not worsen sleep quality or daytime sleepiness at 3 months and reduced daytime sleepiness in patients continuing perampanel for 6 months. Perampanel may be a suitable AED in patients with sleep disorders, in addition to refractory focal seizures.