Epilepsy and Sleep in the ATR-X Syndrome

2021 ◽  
Author(s):  
Petra van Mierlo ◽  
Hilde Braakman ◽  
Nele Vandenbussche ◽  
Helenius Jurgen Schelhaas ◽  
Sigrid Pillen
Keyword(s):  
Clinical Diagnosis ◽  
Sleep Problems ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Diary ◽  
Cross Sectional ◽  
Eeg Abnormalities ◽  
Epileptic Discharges ◽  
Eeg Recordings

Abstract Background This study explores the prevalence, clinical characteristics, and treatment of epilepsy and sleep disorders in α thalassemia mental retardation (ATR-X) syndrome. Design In this cross-sectional study, 37 participants with ATR-X syndrome aged 1.8 to 44 years were studied using a customized epilepsy questionnaire, review of electroencephalography (EEG) findings, the modified Sleep Questionnaire of Simonds and Parraga and 2-week sleep diary. Results Eleven participants had a clinical diagnosis of generalized epilepsy (29.7%). Seizure types were generalized tonic-clonic seizures, absences, and myoclonia. Interictal EEG recordings in participants with GTCS showed no epileptic discharges in 78%. Similarly, EEG recordings during myoclonia and absences often demonstrated no epileptic discharges. Sleep problems (difficulty falling or maintaining sleep, and early awakening) were reported in 70%. Participants with reported sleep problems went to bed earlier (p = 0.027) and had a lower sleep efficiency (p < 0.01) than participants without sleep problems, but as a group they both had a sufficient total sleep time (9 hours and 52 minutes vs. 10 hours and 55 minutes). Sixteen participants (43.2) used medication to improve sleep (predominantly melatonin n = 10), being effective in only two. Conclusion One-third of participants with ATR-X syndrome had a clinical diagnosis of epilepsy, but the absence of EEG abnormalities in suspected epileptic seizures questions this diagnosis in these patients. EEG recording during seizure like symptoms is warranted before making an epilepsy diagnosis. Seventy percent experienced sleep problems, although total sleep time was normal in most participants. Long bedtimes might have a negative influence on sleep efficiency.

scholarly journals Sleep patterns in 1 to 36 month-old children

2010 ◽  
Vol 50 (3) ◽  
pp. 170 ◽  
Author(s):  
Catharina Sambo ◽  
Rini Sekartini ◽  
Partini Trihono
Keyword(s):  
Sleep Problem ◽  
Sleep Problems ◽  
Total Sleep Time ◽  
Primary Caregivers ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Basic Knowledge ◽  
Health Providers ◽  
Sleep Patterns ◽  
Cross Sectional

Background Better understanding about sleep patterns inIndonesian children can contribute to basic knowledge foreducating parents and health providers about good sleephygiene.Objectives To find out sleep patterns in 1􀁊36 month􀁊oldchildren.Method A descriptive, cross􀁊sectional study was held in EastJakarta on May 2009. Subjects were 1 to 36 months old childrenwho came \\lith their parents or primary caregivers. Data collectionwas performed using modified Brief Infant Sleep Questionnaire(BISQ), consisted of subjects' characteristics, sleep patterns, sleepproblems, and associating factors.Results Among 147 children, sleep problems were identified in33.3% of them. Bedtime was mostly at 8 p.m., wake up time was5 a.m. Median time needed to fall asleep was 20 minutes. Averagefrequency of night waking was twice during one night. Mediannight waking duration was 15 minutes. Median sleep duration atnight was 9 hours 20 minutes, and median nap duration was 2hours 20 minutes. Median total sleep time was 12 hours. Pronesleeping position was significantly associated \\lith sleep problems(p􀁋0.036, RR􀁋1.67, 95%CI􀁋1.66-2.64).Conclusions Prevalence of sleep problem is 33.3%, \\lith awakeningat night was being the most occurring problem. Prone sleepingposition is associated \\lith sleep problems. [Paediatr Indones.2010;50:170-5].

scholarly journals Sleep and its Association With Pain and Depression in Nursing Home Patients With Advanced Dementia – a Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Kjersti Marie Blytt ◽  
Elisabeth Flo-Groeneboom ◽  
Ane Erdal ◽  
Bjørn Bjorvatn ◽  
Bettina S. Husebo
Keyword(s):  
Nursing Home ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Severe Depression ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Sleep Efficiency ◽  
Sectional Study ◽  
Severe Dementia ◽  
Cross Sectional

Objective: Previous research suggests a positive association between pain, depression and sleep. In this study, we investigate how sleep correlates with varying levels of pain and depression in nursing home (NH) patients with dementia.Materials and methods: Cross-sectional study (n = 141) with sleep-related data, derived from two multicenter studies conducted in Norway. We included NH patients with dementia according to the Mini-Mental State Examination (MMSE ≤ 20) from the COSMOS trial (n = 46) and the DEP.PAIN.DEM trial (n = 95) whose sleep was objectively measured with actigraphy. In the COSMOS trial, NH patients were included if they were ≥65 years of age and with life expectancy &gt;6 months. In the DEP.PAIN.DEM trial, patients were included if they were ≥60 years and if they had depression according to the Cornell Scale for Depression in Dementia (CSDD ≥ 8). In both studies, pain was assessed with the Mobilization-Observation-Behavior-Intensity-Dementia-2 Pain Scale (MOBID-2), and depression with CSDD. Sleep parameters were total sleep time (TST), sleep efficiency (SE), sleep onset latency (SOL), wake after sleep onset (WASO), early morning awakening (EMA), daytime total sleep time (DTS) and time in bed (TiB). We registered use of sedatives, analgesics, opioids and antidepressants from patient health records and adjusted for these medications in the analyses.Results: Mean age was 86.2 years and 76.3% were female. Hierarchical regressions showed that pain was associated with higher TST and SE (p &lt; 0.05), less WASO (p &lt; 0.01) and more DTS (p &lt; 0.01). More severe dementia was associated with more WASO (p &lt; 0.05) and TiB (p &lt; 0.01). More severe depression was associated with less TST (p &lt; 0.05), less DTS (p &lt; 0.01) and less TiB (p &lt; 0.01). Use of sedative medications was associated with less TiB (p &lt; 0.05).Conclusion: When sleep was measured with actigraphy, NH patients with dementia and pain slept more than patients without pain, in terms of higher total sleep time. Furthermore, their sleep efficiency was higher, indicating that the patients had more sleep within the time they spent in bed. Patients with more severe dementia spent more time awake during the time spent in bed. Furthermore, people with more severe depression slept less at daytime and had less total sleep time Controlling for concomitant medication use did not affect the obtained results.

Electroencephalogram utilization and psychiatric comorbidities among children and adolescents with epilepsy in rural Southwestern Uganda

2022 ◽  
pp. 009121742110581
Author(s):  
Joseph Kirabira ◽  
Godfrey Z Rukundo ◽  
Moses Kibuuka
Keyword(s):  
Children And Adolescents ◽  
Clinical Diagnosis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Psychiatric Comorbidities ◽  
Eeg Abnormalities ◽  
Interictal Eeg ◽  
Eeg Recordings ◽  
Southwestern Uganda ◽  
Electroencephalogram Eeg

Objective This study aimed at describing routine electroencephalogram (EEG) findings among children and adolescents with a clinical diagnosis of epilepsy and determines how interictal EEG abnormalities vary with the psychiatric comorbidities. Methods We conducted a cross-sectional study among children and adolescents with epilepsy aged 5–18 years receiving care from a regional referral hospital in Southwestern Uganda. Psychiatric comorbidities were assessed using an adapted parent version of Child and Adolescent Symptom Inventory-5. Thirty-minute EEG samples were taken from routine EEG recordings that were locally performed and remotely interpreted for all participants. Results Of the 140 participants, 71 (50.7%) had normal EEG findings and 51 (36.4%) had epileptiform abnormalities while 18 (12.9%) had non-epileptiform. Of those who had epileptiform abnormalities on EEG, 23 (45.1%) were focal, 26 (51.0%) were generalized, and 2 (3.9%) were focal with bilateral spread. There was no significant association between the different psychiatric comorbidities and the interictal EEG abnormalities. Conclusions Among children and adolescents with a clinical diagnosis of epilepsy in Southwestern Uganda, only 36% showed epileptiform abnormalities on their EEG recordings. There was no association between the interictal EEG abnormalities and psychiatric comorbidities.

CAN META-COGNITIVE OBSERVATION BE USED IN THE TREATMENT OF INSOMNIA? A PILOT STUDY OF A COGNITIVE-EMOTIONAL SELF-OBSERVATION TASK

2002 ◽  
Vol 30 (2) ◽  
pp. 233-236 ◽  
Author(s):  
Lars-Gunnar Lundh ◽  
Henrik Hindmarsh
Keyword(s):  
Pilot Study ◽  
Cognitive Processes ◽  
Sleep Latency ◽  
Total Sleep Time ◽  
Cognitive Activity ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Diary ◽  
Control Group

Meta-cognitive observation is a kind of cognitive activity that may serve to interrupt worry, rumination, and other kinds of sleep-interfering cognitive processes. In a pilot study, 40 individuals recorded their sleep on a sleep diary during one week (the baseline week) and were then administered a meta-cognitive observation task to use at bed-time during a second week (“the treatment week”). Consistent with the hypothesis, the participants showed a decreased sleep latency during the treatment week compared to the baseline week, and also an increased total sleep time and an improved sleep efficiency. The lack of a control group (i.e., a group who kept a sleep diary for both weeks, without any meta-cognitive observation task), however, precludes any definite conclusion with regard to the effects of the meta-cognitive observation task. It is suggested that meta-cognitive observation tasks should be tested in controlled studies.

scholarly journals Study of correlation between perceived sleep disturbances in depressed patients with objective changes in sleep architecture using polysomnography before and after antidepressant therapy

2020 ◽  
Vol 8 (7) ◽  
pp. 2551
Author(s):  
Ganesh Ingole ◽  
Harpreet S. Dhillon ◽  
Bhupendra Yadav
Keyword(s):  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Antidepressant Treatment ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Architecture ◽  
Wake Time ◽  
Depressed Patients ◽  
Before And After

Background: A prospective cohort study to correlate perceived sleep disturbances in depressed patients with objective changes in sleep architecture using polysomnography (PSG) before and after antidepressant therapy.Methods: Patients were recruited into the study after applying strict inclusion and exclusion criterion to rule out other comorbidities which could influence sleep. A diagnosis of Depressive episode was made based on ICD-10 DCR. Psychometry, in the form of Beck Depressive inventory (BDI) and HAMD (Hamilton depression rating scale) insomnia subscale was applied on Day 1 of admission. Patients were subjected to sleep study on Day 03 of admission with Polysomnography. Patients were started on antidepressant treatment post Polysomnography. An adequate trial of antidepressants for 08 weeks was administered and BDI score ≤09 was taken as remission. Polysomnography was repeated post remission. Statistical analysis was performed using Kruskal Wallis test and Pearson correlation coefficient.Results: The results showed positive (improvement) polysomnographic findings in terms of total sleep time, sleep efficiency, wake after sleep onset, percentage wake time and these findings were statistically significant. HAM-D Insomnia subscale was found to correlate with total sleep time, sleep efficiency, wake after sleep onset, total wake time and N2 Stage percentage.Conclusions: Antidepressant treatment effectively improves sleep architecture in Depressive disorder and HAM-D Insomnia subscale correlates with objective findings of total sleep time, sleep efficiency, wake after sleep onset, total wake time and duration of N2 stage of NREM.

scholarly journals 1199 The Accuracy Of A New Sleep Ring Device For Tracking Sleep And Wakefulness Overnight Using Actigraphy

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A458-A459
Author(s):  
H Scott ◽  
N Lovato ◽  
L Lack
Keyword(s):  
Total Sleep Time ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Tracking Algorithm ◽  
Future Research ◽  
Sleep Laboratory ◽  
Healthy Individuals ◽  
High Agreement ◽  
Additional Funding ◽  
New Consumer

Abstract Introduction THIM is a new consumer ring-like device that can passively monitor sleep overnight using actigraphy. This project aimed to develop the THIM sleep tracking algorithm (Study 1), and test its accuracy against polysomnography (PSG) with another independent sample of good and poor sleepers (Study 2). Methods Study 1: 25 healthy individuals (15 females) aged 25.38 years (SD = 6.39) slept overnight in the sleep laboratory with THIM, the Philips Spectrum, the Fitbit Flex, and PSG recording simultaneously. The THIM sleep tracking algorithm was developed by optimising sensitivity and specificity with PSG. Study 2: An additional 20 individuals (14 females) aged 23.22 years (SD = 5.02) slept overnight in the sleep laboratory with the same devices as in Study 1. Results Study 1: THIM showed high agreement with PSG for estimating sleep (sensitivity = .91) and reasonably high agreement for wakefulness (specificity = .59). There were no significant differences between PSG and THIM for total sleep time, t(24) = 0.76, p = .46, or sleep efficiency, t(24) = 0.56, p = .58. Study 2: THIM showed high agreement with PSG for estimating sleep (sensitivity = .89) and wakefulness (specificity = .59). Compared to PSG, THIM significantly underestimated total sleep time, t(19) = 2.10, p = .049, and sleep efficiency, t(19) = 2.20, p = .04, by an average of 21.35 minutes (SD = 45.52) and 4.44% (SD = 9.04), respectively. Conclusion Together, these studies suggest that THIM is reasonably accurate for monitoring sleep overnight in healthy individuals. Slight modifications to the algorithm and additional sensors could be added to THIM to improve its accuracy. Future research will examine the accuracy of THIM with larger sample sizes and particularly for people with insomnia, with the goal being to incorporate sleep tracking into a mobile-based treatment program for insomnia. Support The project was funded in-part by the manufacturers of THIM, Re-Time Pty. Ltd. Additional funding was provided by Flinders University.

A Comparative Study of Sleep and Mood Between Young Elite Athletes and Age-Matched Controls

2017 ◽  
Vol 14 (6) ◽  
pp. 465-473 ◽  
Author(s):  
Anette Harris ◽  
Hilde Gundersen ◽  
Pia Mørk Andreassen ◽  
Eirunn Thun ◽  
Bjørn Bjorvatn ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Sleep Time ◽  
Elite Athletes ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Diary ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Social Jetlag ◽  
Weekly Training

Background:Sleep and mood have seldom been compared between elite athletes and nonelite athletes, although potential differences suggest that physical activity may affect these parameters. This study aims to explore whether adolescent elite athletes differ from controls in terms of sleep, positive affect (PA) and negative affect (NA).Methods:Forty-eight elite athletes and 26 controls participating in organized and nonorganized sport completed a questionnaire, and a 7-day sleep diary.Results:On school days, the athletes and the controls who participated in organized and nonorganized sport differed in bedtime (22:46, 23:14, 23:42, P < .01), sleep onset (23:03, 23:27, 00:12, P < .01), and total sleep time (7:52, 8:00, 6:50, P < 01). During weekend, the athletes, the controls who participated in organized and nonorganized sport differed in bedtime (23:30, 00:04, 00:49, P < .01), sleep onset (23.42, 00:18, 01:13, P < .01), rise time (9:15, 9:47, 10:55, P < .01), sleep efficiency (95.0%, 94.2%, 90.0%, P < 05), and sleep onset latency (11.8, 18.0, 28.0 minutes, P < .01). Furthermore, the athletes reported less social jetlag (0:53) and higher score for PA (34.3) compared with the controls who participated in nonorganized sport (jetlag: 1:25, P < .05, PA: 29.8, P < .05).Conclusions:An almost dose-response association was found between weekly training hours, sleep, social jetlag and mood in adolescents.

Testing the contiguity of the sleep and fatigue relationship: a daily diary study

SLEEP ◽  
2020 ◽  
Author(s):  
Andrea L Harris ◽  
Nicole E Carmona ◽  
Taryn G Moss ◽  
Colleen E Carney
Keyword(s):  
Sleep Quality ◽  
Hierarchical Linear Modeling ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Cognitive Factors ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Daily Diary Study ◽  
Insomnia Disorder ◽  
The Relationship

Abstract Study Objectives There is mixed evidence for the relationship between poor sleep and daytime fatigue, and some have suggested that fatigue is simply caused by lack of sleep. Although retrospective measures of insomnia and fatigue tend to correlate, other studies fail to demonstrate a link between objectively disturbed sleep and fatigue. The current study prospectively explored the relationship between sleep and fatigue among those with and without insomnia disorder. Methods Participants meeting Research Diagnostic Criteria for insomnia disorder (n = 33) or normal sleepers (n = 32) completed the Consensus Sleep Diary (CSD) and daily fatigue ratings for 2 weeks. Baseline questionnaires evaluated cognitive factors including unhelpful beliefs about sleep and rumination about fatigue. Hierarchical linear modeling tested the within- and between-participant relationships between sleep quality, total sleep time, and daily fatigue ratings. Mediation analyses tested if cognitive factors mediated the relationship between insomnia and fatigue. Results Self-reported nightly sleep quality significantly predicted subsequent daily fatigue ratings. Total sleep time was a significant predictor of fatigue within, but not between, participants. Unhelpful sleep beliefs and rumination about fatigue mediated the relationship between insomnia and fatigue reporting. Conclusions The results suggest that perception of sleep plays an important role in predicting reports of daytime fatigue. These findings could be used in treatment to help shift the focus away from total sleep times, and instead, focus on challenging maladaptive sleep-related cognitions to change fatigue perception.

scholarly journals 0722 The Association Between Obstructive Sleep Apnea and Neurobehavioural Function in Men: A Large, Population-Based Cohort Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A274-A275
Author(s):  
J L Parker ◽  
R J Adams ◽  
S L Appleton ◽  
Y A Melaku ◽  
A Vakulin
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Inspection Time ◽  
Sleep Disruption ◽  
Clinical Samples ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep

Abstract Introduction Obstructive sleep apnea (OSA) is linked with impaired vigilance, attention, memory and executive function. However, this evidence largely comes from small experimental studies or larger studies in clinical samples and therefore the scope and magnitude of OSA driven neurobehavioural dysfunction in the general population remains unclear. This study aimed to examine the cross-sectional association between OSA and neurobehavioural function in a large community sample of men. Methods A total of 837 participants from the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study, a longitudinal cohort of men 40+ years, underwent full overnight polysomnography. Participants completed the inspection time (IT) test, mini-mental state examination (MMSE), Fuld object memory evaluation (FOME), and trail-making test (TMT) part A (TMT-A) and part B (TMT-B). Using regression models adjusted for multiple important covariates, we examined the association between neurobehavioural function scores, clinical metrics of OSA severity (Apnea-Hypopnea Index (AHI); percentage total sleep time with oxygen saturation &lt;90% (TST90), and measures of sleep disruption (duration of rapid eye movement (REM) and non-REM (NREM) sleep; and total sleep time (TST). Results In multivariable linear regressions, greater TST was associated with worse IT scores (B=13.688, 95% CI [0.134, 27.241], P=0.048) and TMT-B scores (B=19.255, 95% CI [0.931, 37.578], P=0.040). In logistic regressions, greater TST was associated with better MMSE scores (Odds ratio [OR]=0.440, 95% CI [0.194, 0.997], P=0.049); and higher AHI was strongly associated with worse FOME scores in fully adjusted models (OR=1.358, 95% CI [1.252, 1.472], P&lt;0.001). Conclusion The AHI and TST were positively, significantly associated with neurobehavioural function across different domains. This cross-sectional data shows that neurobehavioural function deficits in OSA are directly related to sleep and breathing disruptions. Future large prospective studies are needed to determine if OSA and sleep disruption predict future onset of neurobehavioural dysfunction and cognitive decline. Support National Health and Medical Research Council and the Adelaide Institute for Sleep Health.

Links between sleep and body mass index in bipolar disorders: An exploratory study

2015 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
C. Boudebesse ◽  
P.-A. Geoffroy ◽  
C. Henry ◽  
A. Germain ◽  
J. Scott ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Bipolar Disorders ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.

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