An evaluation study of the Epworth sleepiness scale adapted for children and adolescents: a tool for case finding of pediatric excessive daytime sleepiness (EDS)

2011 ◽  
Vol 26 (S2) ◽  
pp. 1559-1559
Author(s):  
M. Lecendreux ◽  
H. Gamble ◽  
L. Sanchez-Garrido ◽  
J.-P. Giordanella ◽  
E. Konofal
Keyword(s):  
College Students ◽  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Epworth Sleepiness Scale ◽  
Child And Adolescent ◽  
Case Finding ◽  
Falling Asleep ◽  
The Mean ◽  
Epworth Scale

Child and adolescent sleepiness is an important public health issue with potentially serious consequences on attention, learning, behaviour, and quality of life. For some individuals, sleepiness may be due to a sleep disorder which requires clinical investigation and subsequent treatment. A reliable measure of child and adolescent sleepiness is needed and a version of the Epworth Sleepiness Scale has been adapted for use in child and adolescent populations.The adapted Epworth Scale is a questionnaire which aims to identify the chance of falling asleep in 10 different situtations. This questionnaire is normally used in a clinical context as a diagnostic tool. The objective of this study was to investigate whether the adapted Epworth Scale could be used to screen for sleep disorders in a similar manner to the adult scale. This presentation describes a validation study of the adapted Epworth Scale in a population of college students. 9,005 Parisian college students (50.4% female) completed an on-line questionnaire. The mean age was 12.7 years (sd = 1.35). The response rate was greater than 95% for each item of the adapted Epworth score. The mean score was 8.6 / 30 (sd = 4.62).We suggest that the adapted Epworth Scale could be used as a tool for case finding of excessive daytime sleepiness in schools. If the adapted scale is to be used for this purpose, subjects with high scores should be offered investigation to exclude underlying sleep disorders such as narcolepsy, primary hypersomnia or ADHD.

scholarly journals The Epworth Sleepiness Scale in Service Members with Sleep Disorders

2019 ◽  
Vol 184 (11-12) ◽  
pp. e701-e707 ◽  
Author(s):  
April Hurlston ◽  
Shannon N Foster ◽  
Jennifer Creamer ◽  
Matthew S Brock ◽  
Panagiotis Matsangas ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disorders ◽  
Military Personnel ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Epworth Sleepiness Scale ◽  
Clinical Utility ◽  
Obstructive Sleep ◽  
The Military

ABSTRACTIntroductionExcessive daytime sleepiness affects an estimated 20% of the general population. While the prevalence of sleepiness in the military is largely unknown, it is well established that short sleep duration is endemic. The reasons for this include: the demanding nature of their duties, shift work and 24-hour duty periods, deployments and exigencies of military service as well as sleep disorders. The Epworth Sleepiness Scale (ESS) is the most widely used sleep questionnaire and provides a self-assessment of daytime sleepiness. To date the clinical utility of this questionnaire in differentiating sleep disorders in military patients with sleep disorders has never been evaluated.Materials and MethodsThe primary aim of this manuscript was to assess if Epworth Sleepiness Scale (ESS) scores differed between military personnel with insomnia, obstructive sleep apnea (OSA), comorbid insomnia/obstructive sleep apnea (COMISA), and a group with neither insomnia nor obstructive sleep apnea (NISA). This study assessed the clinical utility of the ESS in differentiating sleep disorders amongst a sample (N = 488) of U.S. military personnel with insomnia (n = 92), OSA (n = 142), COMISA (n = 221), and a NISA group (n = 33) which served as the control population.ResultsIn the present sample, 68.4% of service members reported excessive daytime sleepiness (EDS) with an ESS > 10. ESS scores differed between military personnel with COMISA (13.5 ± 4.83) and those with OSA only (11.5 ± 4.08; p < 0.001) and the NISA group (9.46 ± 4.84; p < 0.001). Also, ESS scores differed between patients with insomnia only (13.0 ± 4.84) and the NISA group (p < 0.01).ConclusionsOverall, the ESS had poor ability to differentiate sleep disorders. In military personnel, the ESS appears elevated in the most common sleep disorders, likely due to their insufficient sleep, and does not help to differentiate OSA from insomnia. Further studies are required to validate this questionnaire and determine an appropriate threshold value for abnormal sleepiness in the military population.

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 The efficacy of a herbal complex (Gingko biloba, Panax ginseng, Bacopa monerii and Rhodiola rosea) in the management of excessive daytime sleepiness

2018 ◽  
Author(s):  
◽  
Sindisiwe Sthembile Mazibuko
Keyword(s):  
Panax Ginseng ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Epworth Sleepiness Scale ◽  
Rhodiola Rosea ◽  
Active Group ◽  
Falling Asleep ◽  
Physical Examinations ◽  
Stanford Sleepiness Scale ◽  
Pre Treatment

BACKGROUND Good sleep is essential to health, yet university students are sleep deprived due to later bedtime and experience sleepiness during the day (Patte et al., 2017), Sleepiness is referred to an increase propensity to fall asleep and excessive sleepiness and sleep disorders are common in our society today (Bittencourt et al., 2005). Previous research suggested that sleep can affect academic performance (Halik et al.2016), this is because students were observed falling asleep in university rooms (Eden, 2006). Brand et al., (2009) also mentioned that students feel sleepy during certain periods of the day especially during classes, during low stimulation and during car or bus rides. AIM OF THE STUDY The aim of the study was to determine the efficacy of a herbal complex (Ginkgo biloba, Panax ginseng, Bacopa monerii & Rhodiola rosea) in the management of excessive daytime sleepiness (EDS) in terms of Epworth sleepiness scale (John, 1991) and Stanford sleepiness scale (Hoddes et al, 1973). METHODOLOGY The study was conducted at the Durban University of Technology and 31 participants were chosen according to a specific inclusion and exclusion criteria. The sample was then randomly divided into an active group (herbal treatment) consisting of 21 participants and a placebo group of 10 participants. The measuring tools that were used were Epworth sleepiness scale (ESS) (Appendix C) and Stanford Sleepiness Scale (SSS) (Appendix D). The initial consultation with the researcher consisted of signing the informed consent forms, case taking, physical examinations and filling in the ESS. Thereafter there were two follow up consultations; a week after the first consultation (the second consultation) at which point the treatment/placebo was dispensed and again two weeks from the second consultation which was the last day of the study and at which point medication containers were returned and final case taking and physical examinations were performed. The ESS was completed at recruitment, at the second consultation (both pre-treatment) and at close out and the SSS was completed for a period of three weeks (one week pre-treatment) and two weeks post treatment. RESULTS The data analysis methods that were used in the study were; Cronbach alpha score, One sample Kolmogorov-Simrnov test, Fisher‟s exact test, Pearson‟s correlation test, Independent sample test and ANOVA for ESS and mixed factorial ANOVA was used to evaluate the SSS. In conclusion in terms of the ESS both groups improved significantly over time; degrees of improvement however were not statistically dissimilar although a review of mean scores indicates the active group as having lower scores suggesting a clinically significant trend. SSS data however confirmed statistically significant differences between groups in favour of the active group confirming the herbal complex superior effect over placebo in the treatment of EDS.

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.

Relationships between nasal obstruction, observed apnea, and daytime sleepiness

2007 ◽  
Vol 137 (4) ◽  
pp. 669-673 ◽  
Author(s):  
Tsuyoshi Udaka ◽  
Hideaki Suzuki ◽  
Takeyuki Fujimura ◽  
Nobuaki Hiraki ◽  
Teruo Shiomori ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Nasal Obstruction ◽  
Study Design ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Questionnaire Survey ◽  
Epworth Sleepiness Scale ◽  
Sleep Disordered Breathing ◽  
Confounding Factors ◽  
Working Population

Objective We administered a questionnaire survey to a working population in an attempt to clarify the relationships between self-reported nasal obstruction, observed apnea during sleep, and daytime sleepiness. Study Design A total of 7980 daytime workers were asked to complete questionnaires about nasal obstruction, apnea during sleep, and daytime sleepiness. Of the 7702 responses, the data from 4818 subjects were analyzed. Nasal obstruction and observed apnea were graded into 3 categories. Daytime sleepiness was assessed by the Epworth Sleepiness Scale. Results Subjects with chronic nasal obstruction had 5.22 and 2.17 times higher odds for having habitual observed apnea and excessive daytime sleepiness (EDS), respectively, compared with those without nasal obstruction ( P < 0.001). After adjusting for 3 potential confounding factors (age, sex, and body mass index) and the presence of habitual observed apnea, odds ratios for having EDS decreased, but still remained significant. Conclusion Nasal obstruction is likely to cause daytime sleepiness, at least in part, by causing sleep-disordered breathing including apnea during sleep.

scholarly journals Daytime sleepiness and academic performance in medical students

2002 ◽  
Vol 60 (1) ◽  
pp. 6-11 ◽  
Author(s):  
Raimundo Nonato D. Rodrigues ◽  
Carlos A.A. Viegas ◽  
Aída A.A. Abreu e Silva ◽  
Paulo Tavares
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Epworth Sleepiness Scale ◽  
The University ◽  
School Period

This report presents an analysis of the complaints of increasing daytime sleepiness as well as a study on their possible effects on the academic performance of medical students at the University of Brasilia. The Epworth Sleepiness Scale was applied to 172 medical students, at the beginning of August 1997 and at the end of November 1997. Academic performance was measured by analyzing the number of SS grades (from 9.0 to 10 over ten) and MM grades (from 5.0 to 6.9) attained in exams at the end of that school period. The results showed that at the beginning of the semester, 68 (39.53%) of these 172 students already presented with excessive daytime sleepiness, and that of the 104 remaining students, 38 (22%) developed daytime sleepiness by the end of the semester. Furthermore, it was observed that the sleepier students did not achieve as well as the others on their final examinations.

scholarly journals Can a Bengali version of Epworth Sleepiness Scale evaluate excessive daytime sleepiness: a validity study

2011 ◽  
Vol 6 (3) ◽  
pp. 102-104
Author(s):  
Rantu Paul ◽  
Rana Dey ◽  
Saikat Nag ◽  
Saswata Chatterjee ◽  
Madan Sarma ◽  
...  
Keyword(s):  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Epworth Sleepiness Scale ◽  
Validity Study

scholarly journals Sleep disorders in pregnancy

2004 ◽  
Vol 62 (2a) ◽  
pp. 217-221 ◽  
Author(s):  
Eliane Aversa Lopes ◽  
Luciane Bizari Coin de Carvalho ◽  
Priscila Bernal da Costa Seguro ◽  
Rosiane Mattar ◽  
Ademir Baptista Silva ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Clinical Interview ◽  
Human Beings ◽  
Normal Sleep ◽  
Function Of Sleep ◽  
In Pregnancy ◽  
Sleep In Animals

CONTEXT: The precise function of sleep in animals and human beings is still unknown, and any sort of physical, social or psychological variation may change the normal sleep-wake cycle. PURPOSE: This research aims is to determine the sleep disorders (SD) for each of the three trimesters of the pregnancy comparing them to the pre-pregnancy state (PG). METHOD: SD were investigated in three hundred pregnant women 11- to 40-years-old through with a brief clinical interview based on directed questions. One hundred pregnant women were considered for each trimester. RESULTS: The rate of pregnant women with insomnia increased by 23% in the 2nd trimester (p< 0.005); the rate for excessive daytime sleepiness (EDS) by 15% in the 1st trimester (p<0.003), 55% in the 2nd trimester (p<0.001) and by 14% in the 3rd trimester (p<0.002); the rate for mild sleepiness increased by 33% in the 2nd trimester (p<0.002) and by 48% in the 3rd trimester (p<0.001); the rate for specific awakenings increased by 63% in the 1st trimester, by 80% in the 2nd trimester and by 84% in the 3rd trimester (p<0.001). CONCLUSION: SD were more frequent during pregnancy comparatively to PG state, mostly at the expenses of EDS and specific awakenings.

P0963MANAGEMENT OF SLEEP DISORDERS IN END-STAGE RENAL DISEASE, IS IT REALLY IMPORTANT?

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Liliana-Ana Tuta ◽  
Tofolean Doina-Ecaterina ◽  
Tudor Alexandra ◽  
Campineanu Bogdan
Keyword(s):  
Sleep Disorders ◽  
Excessive Daytime Sleepiness ◽  
End Stage Renal Disease ◽  
Daytime Sleepiness ◽  
Fluid Overload ◽  
Sleep Apnoea ◽  
Refractory Hypertension ◽  
P Values ◽  
Stage Renal Disease ◽  
End Stage

Abstract Background and Aims Sleep apnoea (SA), either obstructive and central (OSA and CSA, respectively) associated with and excessive daytime sleepiness (EDS) are common sleep disorders among patients with end-stage renal disease (ESRD). Fluid overload characterizes end-stage kidney disease and plays an important role in the pathogenesis of OSA, CSA and EDS. In our study we assessed the prevalence of sleep apnoea and excessive daytime sleepiness in patients from a nephrology and dialysis unit from south-eastern Romania. Method 86 patients with ESRD pre-dialysis (eGFR &lt; 15 ml/min/1,73 m) or on maintenance haemodialysis were monitored for an interval of 2 years. We used questionnaires to assess the prevalence of SA and EDS. All subjects underwent overnight polysomnography (PSG). Extracellular fluid volume of the total body, neck, thorax and right leg were measured using bioelectrical impedance. We also examined the association between sleep apnoea, EDS, the underlying causes of ESRD, co-morbidities, medication used, and other demographic data. Results The mean patients age was 57.5 years ± 14.9 years; 65.1% were male, and 34.9% were female. The prevalence of SA as defined by the Berlin questionnaire (BQ) was 49.5% in males and 34.8% in females, which was not a statistically significant difference (P = 0.029). Sleep apnoea was significantly associated with age, obesity, diabetes, hypertension, fluid overload and 2nd or 3rd haemodialysis shift (P-values, 0.001, &lt; 0.0001, &lt; 0.002, &lt; 0.008, &lt;0.0001, and &lt; 0.005. Sleep apnoea was also significantly associated with other sleep disorders such as restless leg syndrome, insomnia, habitual snoring, and EDS (P-values, &lt; 0.001, &lt; 0.001, &lt; 0.001, and &lt; 0.001, respectively). The prevalence of EDS was 35,5%, and EDS was significantly associated with age (over 60 years old), diabetes mellitus, hypertension and obesity. 18 patients (20.9%) had refractory hypertension, that improved after CPAP administration, and 10 of these patients (over 50% with refractory HT), that refused the application of appropriate therapy of sleep disorders, suffered a major cardiovascular event during our study. Conclusion Sleep apnoea, excessive daytime sleepiness and other sleep disorders are relatively common in pre-dialysis and haemodialysis patients and are significantly associated with refractory hypertension and severe cardio-vascular events. That is why a greater attention should be given to the diagnosis and management of sleep disorders, as one of the important steps in nursing and our patients’ rehabilitation.

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