scholarly journals Excessive Daytime Sleepiness and Epilepsy: A Systematic Review

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Andre S. Giorelli ◽  
Pâmela Passos ◽  
Thiago Carnaval ◽  
Marleide da Mota Gomes
Keyword(s):  
Systematic Review ◽  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Related Factors ◽  
Cross Sectional ◽  
Sleep Complaints ◽  
Number Of Children ◽  
Pubmed Database ◽  
Patients With Epilepsy

Background. Sleep complaints are common in patients with epilepsy (PWE). Excessive daytime sleepiness (EDS) is one of the most reported complaints and its impact is still a matter of debate. Objective. Evaluate the relationship between EDS and epilepsy, with emphasis on prevalence, assessment, and causes. Methods. A systematic review on PubMed database in the last 10 years (2002 to 2012). The search returned 53 articles and 34 were considered relevant. After citation analysis, 3 more articles were included. Results. Most studies were cross-sectional and questionnaire based. 14 papers addressed EDS as the primary endpoint. 14 adult and 3 children studies used subjective and objective analysis as methodology. The number of studies increased throughout the decade, with 21 in the last 5 years. Adult studies represent almost three times the number of children studies. EDS prevalence in PWE varies from 10 to 47.5%. Prevalence was higher in developing countries. Conclusion. EDS seems to be related more frequently to undiagnosed sleep disorders than to epilepsy-related factors, and although it affects the quality of life of PWE, it can be improved by treating comorbid primary sleep disorders.

Sleep and epilepsy—chicken or egg?

2018 ◽  
Author(s):  
Dora A. Lozsadi
Keyword(s):  
Side Effects ◽  
Sleep Disorders ◽  
Learning Disability ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Seizure Control ◽  
Subjective Sleep ◽  
Neurological Conditions ◽  
The Uk ◽  
Patients With Epilepsy

Epilepsy is the commonest serious chronic neurological condition, affecting 0.5% of the population in the UK. Subjective sleep disturbance and excessive daytime sleepiness are reported to be 50% more frequent in those with epilepsy than in controls. Causes are multiple. Both poor seizure control and nocturnal attacks are known to contribute to such sleep disorders. Epilepsy also increases the risk of associated sleep disorders, and additional neurological conditions, such as dementia, learning disability, and depression. These all affect sleep hygiene. Prescribed anti-epileptic drugs will further aggravate the problem. Side-effects will include drowsiness. Sedating benzodiazepines and barbiturates are considered worst offenders. Others affect sleep architecture to varying degrees and/or cause insomnia. While hyper-somnolence in patients with epilepsy will raise the possibility of any of the above issues, sleep deprivation is one of the commonest seizure triggers. This chapter will shed more light on the intricate relationship between sleep and epilepsy.

Could a Virtual Human Be Used to Explore Excessive Daytime Sleepiness in Patients?

2014 ◽  
Vol 23 (4) ◽  
pp. 369-376 ◽  
Author(s):  
Pierre Philip ◽  
Stéphanie Bioulac ◽  
Alain Sauteraud ◽  
Cyril Chaufton ◽  
Jérôme Olive
Keyword(s):  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Affective Computing ◽  
Conversational Agents ◽  
Sleep Complaints ◽  
Daily Life Activities ◽  
Human Interactions ◽  
Falling Asleep ◽  
Excessive Daytime Somnolence

Excessive daytime somnolence (EDS) is defined as the inability to stay awake in daily life activities. Several scales have been used to diagnose excessive daytime sleepiness, the most widely used being the Epworth Sleepiness Scale (ESS). Sleep disorders and EDS are very common in the general population. It is therefore important to be able to screen patients for this symptom in order to obtain an accurate diagnosis of sleep disorders. Embodied Conversational Agents (ECA) have been used in the field of affective computing and human interactions but up to now no software has been specifically designed to investigate sleep disorders. We created an ECA able to conduct an interview based on the ESS and compared it to an interview conducted by a sleep specialist. We recruited 32 consecutive patients and a group of 30 healthy volunteers free of any sleep complaints. The ESS is a self-administered questionnaire that asks the subject to rate (with a pen and paper paradigm) his or her probability of falling asleep. For the purpose of our study, the ECA or real-doctor questionnaire was modified as follows: Instead of the “I” formulate, questions were asked as “Do you.” Our software is based on a common 3D game engine and several commercial software libraries. It can run on standard and affordable hardware products. The sensitivity and specificity of the interview conducted by the ECA were measured. The best results (sensibility and specificity >98%) were obtained to discriminate the sleepiest patients (ESS ≥16) but very good scores (sensibility and specificity >80%) were also obtained for alert subjects (ESS<8). ESS scores obtained in the interview conducted by the physician were significantly correlated with ESS scores obtained in the interview the ECA conducted. Most of the subjects had a positive perception of the virtual physician and considered the interview with the ECA as a good experience. Sixty-five percent of the participants felt that the virtual doctor could significantly help real physicians. Our results show that a virtual physician can conduct a very simple interview to evaluate EDS with very similar results to those obtained by a questionnaire administered by a real physician. The expected massive increase in sleep complaints in the near future likely means that more and more physicians will be looking for computerized systems to help them to diagnose their patients.

scholarly journals Excessive daytime sleepiness and its determinants: do they have a pattern with study semesters among postgraduate medical resident doctors?

2017 ◽  
Vol 5 (1) ◽  
pp. 382
Author(s):  
Siddalingaiah H. S. ◽  
Aditi Chaudhuri ◽  
Chandrakala D. ◽  
Amarjeet Singh
Keyword(s):  
Sleep Quality ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Sleep Hygiene ◽  
Work Hours ◽  
Intervention Package ◽  
Related Factors ◽  
Cross Sectional ◽  
Quality Sleep

Background: Residency is a stressful period in the career of a medical professional. Excessive daytime sleepiness (EDS) is a major problem among resident doctors due to long work hours, stress, sleep deprivation, shift work, lack of sleep hygiene and other lifestyle related factors. The sleep problems and related factors need to be studied among resident doctors to know if any cumulative effect exists. Methods: A cross sectional study design with pre-validated sleep assessment proforma, Epworth sleepiness scale (ESS), and sleep hygiene index (SHI) as study tools which were self-administered among a total of 428 enrolled eligible resident doctors. Results: A total of 350 resident doctors returned the filled proforma, ESS and SHI (response rate 81.7%). Prevalence of EDS was found to be highest in 2nd (51.1%), 3rd (55.2%) and 5th (47.1%) semesters. Socio-demographic factors did not vary much across semesters except for slight increase in quantity of coffee/tea intake. No major changes in shift pattern, total sleep hours were found across semesters but work hours differed significantly. Sleep latency was least in 3rd semester where EDS was highest. Similarly, sleep quality, sleep hygiene and weekly sleep hours were least in 2nd and 3rd semester where EDS prevalence was high. In addition, as per visual analogue scale ratings by resident doctors, those in 2nd and 3rd semesters were maximally tired and maximally sleepy which is consistent with the finding of high prevalence of EDS in these semesters as recorded by ESS. Conclusions: Sleep quality, sleep quantity, sleep hygiene and weekly work hours emerged as important and sensitive predictors of EDS across study semesters. These components must be present in any intervention package to address EDS especially in the first three semesters of residency program and other similar occupational settings. 

scholarly journals Excessive Daytime Sleepiness and Sleep Disorders in a Population of Patients with Epilepsy: a Case-Control Study

2016 ◽  
Vol 6 (2) ◽  
pp. 79-86 ◽  
Author(s):  
Matilde Gammino ◽  
Leila Zummo ◽  
Anna Lo Bue ◽  
Lidia Urso ◽  
Valeria Terruso ◽  
...  
Keyword(s):  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Case Control Study ◽  
Case Control ◽  
Patients With Epilepsy ◽  
Control Study

Corrigendum to “Excessive daytime sleepiness and sleep complaints among children with epilepsy” [Epilepsy Behav. 8 (2006) 272–277]

2006 ◽  
Vol 9 (1) ◽  
pp. 216-217 ◽  
Author(s):  
Rama Maganti ◽  
Nancy Hausman ◽  
Monica Koehn ◽  
Evan Sandok ◽  
Ingrid Glurich ◽  
...  
Keyword(s):  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Sleep Complaints

Excessive daytime sleepiness and sleep quality in medical students and their association with smartphone and internet addiction: A cross-sectional study

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AnantprakashSiddharthkumar Saraf ◽  
HarshalShriram Sathe ◽  
Manoj Talapalliwar ◽  
Vrushti Patil ◽  
Vinay Kumar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Excessive Daytime Sleepiness and Associated Factors in Military Search and Rescue Personnel

2021 ◽  
Vol 92 (12) ◽  
pp. 975-979
Author(s):  
Rokshana Akter ◽  
Tricia L. Larose ◽  
Jannicke Sandvik ◽  
Vivianne Fonne ◽  
Anders Meland ◽  
...  
Keyword(s):  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Associated Factors ◽  
Lifestyle Factors ◽  
Search And Rescue ◽  
Outcome Variable ◽  
Study Cohort ◽  
Contributing Factors ◽  
Cross Sectional ◽  
Rescue Personnel

BACKGROUND: Abnormal excessive daytime sleepiness (EDS) has been reported worldwide, but too little is known about EDS and its determinants in Search and Rescue (SAR) populations. We aimed to determine the prevalence of abnormal EDS and contributing factors among Royal Norwegian Air Force (RNoAF) SAR helicopter personnel.METHODS: In this cross-sectional study, a total of N = 175 RNoAF SAR personnel completed an electronic survey including socio-demographic and lifestyle questions. The Epworth Sleepiness Scale (ESS) was used as both a continuous and categorical outcome variable to measure EDS.RESULTS: Abnormal EDS defined by ESS was found in 41% of the participants in this study. We observed no associations between socio-demographic and lifestyle factors and abnormal EDS in this study. DISCUSSION: There is a high prevalence of abnormal EDS in the current RNoAF SAR population. Despite this elevated level of fatigue, we did not find that the socio-demographic and lifestyle factors assessed in this study were associated with abnormal EDS in RNoAF SAR helicopter personnel. Also unusually, the study cohort did not demonstrate higher scores in factors found to change ESS scores in similar study populations (e.g., caffeine use, tobacco use, exercise level). Further research is required to investigate other factors (organizational, operational) that may be associated with abnormal EDS in this and other SAR populations.Akter R, Larose TL, Sandvik J, Fonne V, Meland A, Wagstaff AS. Excessive daytime sleepiness and associated factors in military search and rescue personnel. Aerosp Med Hum Perform. 2021; 92(12):975–979.

scholarly journals Association between Free Sugars Intake and Excessive Daytime Sleepiness among Chinese Adolescents

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3959
Author(s):  
Yue Xi ◽  
Qian Lin ◽  
Qiping Yang ◽  
Fang Li ◽  
Hanmei Liu ◽  
...  
Keyword(s):  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Chinese Adolescents ◽  
Binary Logistic Regression Model ◽  
School Students ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Free Sugars

This study aimed to investigate the prevalence of excessive daytime sleepiness (EDS) and explore the association between free sugars intake and EDS. In this cross-sectional study, a total of 1517 middle school students (808 boys and 707 girls) aged 12~14 years were recruited. The study was conducted in Changsha city, China. Adolescents completed an online questionnaire, including the Epworth Sleepiness Scale (ESS), sleep characteristics, a 12-item Food Frequency Questionnaire (FFQ), and other self-reported information. The ESS score ≥ ten was defined as EDS. The anthropometric indices, including height, weight, and waist circumference, were measured and recorded by uniformly trained assistants. Statistical analyses included the Chi-square test and binary logistic regression model. The mean ESS score and free sugars consumption were 6.8 ± 3.9 points and 53.1 ± 44.7 g/d, respectively. The prevalence of EDS among adolescents was 22.5%, and more girls than boys had EDS (26.1% vs. 19.4%, p < 0.05). An exceeded free sugars intake was positively associated with EDS, with the adjusted Odds Ratio (OR) with its 95% Confident Interval (95% CI) of 1.366 (1.060~1.761, p < 0.05). EDS and excessive consumption of free sugars are commonly found among Chinese adolescents. Further studies are needed to confirm whether free sugars restriction can be meaningful to improve daytime drowsiness in those with EDS.

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