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Journal articles on the topic 'Sleepiness'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

Yousaf, Shagufta. "Sleepiness." Clinical Pediatrics 45, no. 2 (March 2006): 191–92. http://dx.doi.org/10.1177/000992280604500213.

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2

Ellenbogen, Jeffrey. "Sleepiness." Seminars in Neurology 36, no. 05 (September 23, 2016): 449–55. http://dx.doi.org/10.1055/s-0036-1586264.

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3

Åkerstedt, Torbjörn. "Sleepiness." Sleep Medicine Reviews 2, no. 1 (February 1998): 1–2. http://dx.doi.org/10.1016/s1087-0792(98)90049-1.

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4

SP, Sriram, Vinutha Shankar MS, and Shobha MV. "Identifying Excessive Daytime Sleepiness Using Epworth Sleepiness Scale in a Normal Healthy Population – A Pilot Study." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 08, no. 4 (December 15, 2018): 118–20. http://dx.doi.org/10.58739/jcbs/v08i4.4.

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Introduction: Excessive daytime sleepiness (EDS) is a common sign in obstructive sleep apnoea syndrome which is often missed during routine screening. Epworth Sleepiness Scale (ESS) is simple, reliable tool to assess daytime sleepiness. Thus, the aim of the study is to identify excessive daytime sleepiness using ESS in a normal healthy population. Methods: 40 Volunteers aged 30-70 yrs, without history of Diabetes, Coronary Artery Disease and diagnosed sleep disorders who are capable of comprehending the sleep ques-tionnaire (Epworth sleepiness scale) were recruited. Informed consent and institutional ethical clearance was taken before start of the study. Results: EDS is seen among 10% of the subjects. ESS score in males and females were 4.42±4.1 and 3.50±2.2 respectively with p value 0.425 suggesting no significant difference in ESS score between males and females. BMI was comparable between males and females No correlation was found between BMI and ESS. Conclusion: Epworth sleepiness scale can be recommended to the practising physician to screen the patients for EDS a sign of OSA (obstructive sleep apnoea). Key words: Excessive daytime sleepiness, Epworth Sleepiness scale, Obstructive sleep apnoea, obesity
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5

HORNE, J. A., and L. A. REYNER. "Driver sleepiness." Journal of Sleep Research 4 (December 1995): 23–29. http://dx.doi.org/10.1111/j.1365-2869.1995.tb00222.x.

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6

Miglis, Mitchell G., and Clete A. Kushida. "Daytime Sleepiness." Sleep Medicine Clinics 9, no. 4 (December 2014): 491–98. http://dx.doi.org/10.1016/j.jsmc.2014.08.007.

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7

&NA;. "Excessive Sleepiness." Nurse Practitioner 36, no. 5 (May 2011): 33–34. http://dx.doi.org/10.1097/01.npr.0000396634.36290.71.

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Tsai, Sheila C. "Excessive Sleepiness." Clinics in Chest Medicine 31, no. 2 (June 2010): 341–51. http://dx.doi.org/10.1016/j.ccm.2010.02.007.

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9

Mairesse, Olivier, Elke De Valck, Stijn Quanten, Daniel Neu, Aisha Cortoos, Nathalie Pattyn, Peter Theuns, Raymond Cluydts, and Joeri Hofmans. "Sleepiness phenomics: Modeling individual differences in subjective sleepiness profiles." International Journal of Psychophysiology 93, no. 1 (July 2014): 150–61. http://dx.doi.org/10.1016/j.ijpsycho.2013.03.021.

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10

Liu, Xianchen, Yanyun Yang, Zhenzhen Liu, and Cunxian Jia. "Associations between Insomnia, Daytime Sleepiness, and Depressive Symptoms in Adolescents: A Three-Wave Longitudinal Study." Journal of Clinical Medicine 11, no. 23 (November 23, 2022): 6912. http://dx.doi.org/10.3390/jcm11236912.

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Background: Insomnia, daytime sleepiness, and depressive symptoms are prevalent in adolescents. This three-wave prospective study examined the associations between the three symptoms in adolescents. Methods: A total of 6995 schoolchildren in 7th and 10th grades (Mean age = 14.86 years) participated in a longitudinal study of behavior and health in Shandong, China. Standardized rating scales were used to assess symptoms of insomnia, daytime sleepiness, and depression in November–December in 2015, 1 year later, and 2 years later. Results: Insomnia was cross-sectionally associated with 10–14-fold increased odds of daytime sleepiness and 5–9-fold increased odds of depression. Daytime sleepiness was associated with 4–5-fold increased odds of depression. Insomnia, daytime sleepiness, or depression at a later time point was significantly predicted by itself at earlier time points. Insomnia was a significant predictor of daytime sleepiness and depression and a mediator between depression and daytime sleepiness. Daytime sleepiness was a significant predictor of insomnia and a mediator between depression and insomnia. Depression was a significant predictor of insomnia and daytime sleepiness and a mediator between insomnia and daytime sleepiness. Conclusions: Insomnia, daytime sleepiness, and depressive symptoms were highly comorbid in adolescents. The associations of insomnia with daytime sleepiness and depression were bidirectional. Depression predicted daytime sleepiness, but not vice versa. Further research is needed to understand the underlying neurobiological mechanisms between insomnia, daytime sleepiness, and depression during adolescence.
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Höglund, Arja, Peter Hagell, Ulrika Östlund, Sten Fredrikson, and Christina Sandlund. "Like a Wave in Its Variable Shape, Breadth, and Depth: A Qualitative Interview Study of Experiences of Daytime Sleepiness in People with Parkinson’s Disease." Parkinson's Disease 2022 (September 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/9980177.

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Introduction. Daytime sleepiness is a common nonmotor symptom in Parkinson’s disease (PD) which is associated with decreased quality of life and perceived health. However, experiences of daytime sleepiness in people with PD have not been explored. The aim of this qualitative study was to explore experiences of daytime sleepiness in people with PD. Materials and Methods. Five women and seven men (42–82 years) with PD for 1.5 to 21 years and excessive daytime sleepiness (i.e., a score of >10 on the Epworth Sleepiness Scale) participated in the study. Data were collected through individual, semistructured, face-to-face interviews and analyzed with qualitative content analysis. Results Three themes of the experience of daytime sleepiness were revealed: (1) not an isolated phenomenon, (2) something to struggle against or accept, and (3) something beyond sleepiness. Conclusion. Daytime sleepiness is a complex nonmotor symptom in PD which manifests itself in several ways. Some experiences are similar, for instance, the attribution of daytime sleepiness to PD and its medical treatment. Differences depend on how sleepiness manifests itself, affects the person, and impacts daily life, as well as whether it causes feelings of embarrassment. Some participants needed to struggle against daytime sleepiness most of the time, and others had found a way to handle it, for example, with physical activity. However, sleepiness may also be used to benefit the person, for example, if they allow themselves to take a power nap to regain energy. The health care professionals can easily underestimate or misinterpret the prevalence and burden of daytime sleepiness because people with PD may describe daytime sleepiness as tiredness, drowsiness, or feeling exhausted, not as sleepiness.
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12

Isa, Tsunenori, Taiki Sugimoto, Shunsuke Murata, Yamato Tsuboi, Aoi Ebina, Yuki Kondo, Kohtaroh Torizawa, et al. "Lower physical activity is associated with daytime sleepiness in children aged 9–12 years." Journal of Child Health Care 23, no. 3 (July 21, 2019): 415–24. http://dx.doi.org/10.1177/1367493519864756.

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This study clarified the prevalence of daytime sleepiness in fourth-, fifth-, and sixth-grade children and examined the association between physical activity (PA) and daytime sleepiness in children aged 9–12 years. This cross-sectional study included 314 children (mean age ± standard deviation: 10.5 ± 1.0 years; male: 52.9%) enrolled in two public elementary schools in Kobe, Japan. PA was assessed using the Physical Activity Questionnaire for Older Children. The outcome was self-reported daytime sleepiness. The prevalence of daytime sleepiness in fourth-, fifth-, and sixth-grade children were 10.8%, 25.2%, and 28.6%, respectively. In univariate analysis, subjects with reported daytime sleepiness had lower PA levels than those without daytime sleepiness (odds ratio (OR) = .67; 95% confidence interval (CI) = .47–.95). Multiple logistic regression analysis demonstrated that lower PA was significantly associated with daytime sleepiness after adjusting for multiple confounders (OR = .54; 95% CI = .37–.81). The prevalence of daytime sleepiness in fifth and sixth grades was higher than fourth grade. Furthermore, this study clarified the significant association between PA and daytime sleepiness and suggested that PA could be one of the factors to prevent daytime sleepiness in children aged 9–12 years.
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13

Gandhi, Kriti D., Meghna P. Mansukhani, Michael H. Silber, and Bhanu Prakash Kolla. "Excessive Daytime Sleepiness." Mayo Clinic Proceedings 96, no. 5 (May 2021): 1288–301. http://dx.doi.org/10.1016/j.mayocp.2020.08.033.

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14

Kovrov, G. V., S. I. Posokhov, T. I. Shadyzheva, K. A. Pikalov, P. E. Bugaeva, and D. V. Kondukova. "Clinical Sleepiness Scale." Russian neurological journal 25, no. 1 (April 17, 2020): 38–42. http://dx.doi.org/10.30629/2658-7947-2020-25-1-38-42.

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15

Shin, Yoon-Kyung, and Seung-Chul Hong. "Excessive Daytime Sleepiness." Journal of the Korean Medical Association 51, no. 3 (2008): 244. http://dx.doi.org/10.5124/jkma.2008.51.3.244.

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16

Roth, Thomas, Karl Doghramji, Paul Doghramji, Jonathan R. L. Schwartz, and James K. Walsh. "Sleepiness Versus Sleeplessness." Primary Care Companion to The Journal of Clinical Psychiatry 06, no. 05 (October 15, 2004): 204–10. http://dx.doi.org/10.4088/pcc.v06n0505.

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17

Douglas, Neil J. "Modafinil and Sleepiness." American Journal of Respiratory and Critical Care Medicine 168, no. 12 (December 15, 2003): 1538–39. http://dx.doi.org/10.1164/ajrccm.168.12.950.

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18

Stahl, Stephanie M., and Ninotchka Liban Sigua. "Sleepiness and Driving." American Journal of Respiratory and Critical Care Medicine 201, no. 2 (January 15, 2020): P3—P4. http://dx.doi.org/10.1164/rccm.2012p3.

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19

Chervin, Ronald D. "Epworth Sleepiness Scale?" Sleep Medicine 4, no. 3 (May 2003): 175–76. http://dx.doi.org/10.1016/s1389-9457(03)00030-3.

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20

Gimbada, Benny Mwengue, and Daniel Rodenstein. "Assessment of Sleepiness." Archivos de Bronconeumología ((English Edition)) 45, no. 7 (July 2009): 349–51. http://dx.doi.org/10.1016/s1579-2129(09)72436-x.

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21

FORSMAN, PIA, ANDERS WALLIN, AINO TIETÄVÄINEN, and EDWARD HÆGGSTRÖM. "Posturographic sleepiness monitoring." Journal of Sleep Research 16, no. 3 (September 2007): 259–61. http://dx.doi.org/10.1111/j.1365-2869.2007.00597.x.

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22

Doneh, Barile. "Epworth Sleepiness Scale:." Occupational Medicine 65, no. 6 (August 2015): 508. http://dx.doi.org/10.1093/occmed/kqv042.

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23

Blunden, Sarah, Timothy F. Hoban, and Ronald D. Chervin. "Sleepiness in Children." Sleep Medicine Clinics 1, no. 1 (March 2006): 105–18. http://dx.doi.org/10.1016/j.jsmc.2005.11.006.

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24

Zhang, Jun, and Fang Han. "Sleepiness in Narcolepsy." Sleep Medicine Clinics 12, no. 3 (September 2017): 323–30. http://dx.doi.org/10.1016/j.jsmc.2017.03.008.

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25

Moreira, Gustavo Antonio, and Marcia Pradella-Hallinan. "Sleepiness in Children." Sleep Medicine Clinics 12, no. 3 (September 2017): 407–13. http://dx.doi.org/10.1016/j.jsmc.2017.03.013.

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26

Merdad, Roah A., Hammam Akil, and Siraj Omar Wali. "Sleepiness in Adolescents." Sleep Medicine Clinics 12, no. 3 (September 2017): 415–28. http://dx.doi.org/10.1016/j.jsmc.2017.03.014.

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27

McCall, Catherine A., and Nathaniel F. Watson. "Sleepiness and Driving." Sleep Medicine Clinics 14, no. 4 (December 2019): 469–78. http://dx.doi.org/10.1016/j.jsmc.2019.07.001.

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28

McNicholas, Walter T. "Sleepiness and Driving." Sleep Medicine Clinics 14, no. 4 (December 2019): 491–98. http://dx.doi.org/10.1016/j.jsmc.2019.08.006.

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29

Johns, Murray W. "Sleepiness in Different Situations Measured by the Epworth Sleepiness Scale." Sleep 17, no. 8 (December 1994): 703–10. http://dx.doi.org/10.1093/sleep/17.8.703.

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30

Van Knippenberg, F. C. E., J. Passchier, D. Heysteck, D. Shackleton, P. Schmitz, R. M. L. Poublon, and F. Van Der Meche. "The Rotterdam Daytime Sleepiness Scale: A New Daytime Sleepiness Scale." Psychological Reports 76, no. 1 (February 1995): 83–87. http://dx.doi.org/10.2466/pr0.1995.76.1.83.

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A new daytime sleepiness scale was constructed on the basis of interviews with 96 apnea patients (the Rotterdam Daytime Sleepiness Scale) and included three subscales of Global Evaluation, Behavioral Impact, and Affected Life Domains. The scale showed satisfactory convergent and discriminant validity.
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31

George, Peter T. "Sleepiness, Troika of Consciousness Cycle, and the Epworth Sleepiness Scale." Sleep And Breathing 05, no. 04 (2001): 181–92. http://dx.doi.org/10.1055/s-2001-18807.

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32

Sandberg, David, Torbjörn Akerstedt, Anna Anund, Göran Kecklund, and Mattias Wahde. "Detecting Driver Sleepiness Using Optimized Nonlinear Combinations of Sleepiness Indicators." IEEE Transactions on Intelligent Transportation Systems 12, no. 1 (March 2011): 97–108. http://dx.doi.org/10.1109/tits.2010.2077281.

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33

Black, Jed. "Sleepiness and residual sleepiness in adults with obstructive sleep apnea." Respiratory Physiology & Neurobiology 136, no. 2-3 (July 2003): 211–20. http://dx.doi.org/10.1016/s1569-9048(03)00083-1.

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Dubessy, Anne-Laure, Sophie Tezenas du Montcel, Frederique Viala, Rana Assouad, Michel Tiberge, Caroline Papeix, Catherine Lubetzki, Michel Clanet, Isabelle Arnulf, and Bruno Stankoff. "Association of Central Hypersomnia and Fatigue in Patients With Multiple Sclerosis." Neurology 97, no. 1 (April 30, 2021): e23-e33. http://dx.doi.org/10.1212/wnl.0000000000012120.

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ObjectiveTo evaluate sleepiness and central hypersomnia in multiple sclerosis (MS)–associated fatigue, we performed long-term polysomnography in patients with MS and healthy controls.MethodsPatients with MS and healthy controls completed questionnaires on sleep, fatigue, sleepiness, and depression. They underwent nocturnal polysomnography, multiple sleep latency tests, and bed rest 24-hour polysomnography. Patients were divided into 3 groups (fatigue and sleepiness, fatigue and no sleepiness, neither fatigue nor sleepiness).ResultsAmong 44 patients with MS, 19 (43.2%) had fatigue and sleepiness, 15 (34%) had only fatigue, and 10 (22.7%) had neither fatigue nor sleepiness. Compared to 24 controls, patients with fatigue and sleepiness had higher REM sleep percentages (median [interquartile range] 20.5% [19.6–24.7] vs 18.1% [12.6–20.6]), lower arousal indexes (12.7 [7.5–17.0] vs 22.4 [14.3–34.4]), and shorter daytime mean sleep latencies (8.6 [6.3–14.3] vs 16.6 [12.6–19.5] min). Restless leg syndrome, periodic leg movements, and sleep apnea had similar frequencies between groups. Central hypersomnia was found in 10 (53%) patients with fatigue and sleepiness (narcolepsy type 2, n = 2), in 2 (13%) patients with fatigue only, and in 3 (30%) patients with neither fatigue nor sleepiness. Patients with central hypersomnia were younger and sleepier than those without hypersomnia, but had similar levels of fatigue, disability, depression, cognitive performance, and frequencies of the human leukocyte antigen DQB1*0602 genotype. The severity of fatigue increased with higher depression scores, higher sleepiness severity, and lower sleep efficacy.ConclusionCentral hypersomnias are frequent in MS when fatigue and sleepiness are present. Screening them through polysomnography studies is recommended.
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Lakshmi, Vijaya, Manisha Jindal, and Bijli Nanda. "Day time sleepiness in medical undergraduates: social media the culprit?" International Journal of Advances in Medicine 5, no. 5 (September 22, 2018): 1105. http://dx.doi.org/10.18203/2349-3933.ijam20183400.

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Background: Medical undergraduates have been seen to be suffering from sleep disturbances, especially daytime sleepiness. Social Media usage or social networking has also tremendously increased over the past few years in adolescents. It has also increased in the day-to-day lives of medical students. Authors therefore tried to find out the association, if any, between social Media usage and daytime sleepiness in medical undergraduates and whether daytime sleepiness can affect their academic performance. The objective of the present study was to ascertain the association between daytime sleepiness and usage of social media among medical students and to look for any association of daytime sleepiness with academic performance.Methods: A self-administered, questionnaire-based study was conducted on medical undergraduate students to assess social media usage. Epworth sleepiness score was determined. ‘Analysis of variance’ was done to look for any association between (a) social media usage and daytime sleepiness (b) daytime sleepiness and academic performance.Results: The majority of students (77.14%) used social media for 2-5hours per day and whatsapp was the most commonly used medium by them. Highly significant association was observed between the usage of social media and daytime sleepiness among the medical undergraduates. Daytime sleepiness was also significantly related to the academic performance of the participating students.Conclusions: Sleep disturbance particularly daytime sleepiness is significantly associated with the usage of social media among first year medical undergraduates and can significantly affect their academic performance.
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Vascouto, Helena Dresch, Maria Emília Rodrigues de Oliveira Thais, Camila Moreira Osório, Juliana Ben, Lucia Sukys Claudino, Alexandre Ademar Hoeller, Hans J. Markowitsch, Peter Wolf, Katia Lin, and Roger Walz. "Is self-report sleepiness associated with cognitive performance in temporal lobe epilepsy?" Arquivos de Neuro-Psiquiatria 76, no. 9 (September 2018): 575–81. http://dx.doi.org/10.1590/0004-282x20180089.

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ABSTRACT Sleepiness and cognitive impairment are common symptoms observed in patients with epilepsy. We investigate whether self-reported sleepiness is associated with cognitive performance in patients with refractory mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). Seventy-one consecutive patients with MTLE-HS were evaluated with the Stanford Sleepiness Scale (SSS) before neuropsychological evaluation. Their mean SSS scores were compared with controls. Each cognitive test was compared between patients with (SSS ≥ 3) or without sleepiness (SSS < 3). Imbalances were controlled by regression analysis. Patients reported a significantly higher degree of sleepiness than controls (p < 0.0001). After multiple linear regression analysis, only one test (RAVLT total) remained associated with self-reported sleepiness. Conclusion: Self-reported sleepiness was significantly higher in MTLE-HS patients than controls, but did not affect their cognitive performance. If confirmed in other populations, our results may have implications for decision making about sleepiness screening in neuropsychological settings.
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37

Anacleto, Tâmile Stella, João Guilherme Fiorani Borgio, and Fernando Mazzilli Louzada. "Daytime sleepiness in elementary school students: the role of sleep quality and chronotype." Revista de Saúde Pública 56 (July 1, 2022): 63. http://dx.doi.org/10.11606/s1518-8787.2021055004124.

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OBJECTIVE To investigate the occurrence of daytime sleepiness and associated sleep factors in a sample of elementary school students who attended school in the afternoon schedule. METHODS Sleep data from 363 Brazilian public school students (12.78 ± 1.36 years, 206 girls) were obtained by applying questionnaires in classrooms. All subjects attended school in the afternoon schedule, with classes starting between 1:00 and 1:20 p.m. Daytime sleepiness was assessed by the pediatric daytime sleepiness scale; sleep quality, by the mini-sleep questionnaire; and sleep patterns and chronotypes, by the Munich chronotype questionnaire. Scores equal to or greater than 15 pediatric daytime sleepiness scale points were considered as excessive daytime sleepiness. The predictive power of sleep variables on daytime sleepiness was evaluated by a multiple linear regression. RESULTS The subjects in the sample had an average time in bed greater than nine hours both on school days and on weekends. Nevertheless, 52.1% had an average pediatric daytime sleepiness scale score equal to or greater than 15 points, indicative of excessive daytime sleepiness. As for their quality of sleep, 41.1% had a very altered sleep. We observed, by a multiple linear regression, that quality of sleep (β = 0.417), chronotype (β = 0.174), mid-sleep on school days (β = 0.138), and time in bed (β = - 0.091) were all significant in predicting daytime sleepiness. CONCLUSION This study showed the occurrence of excessive daytime sleepiness in non-sleep deprived students who attended school in the afternoon. The worst quality of sleep and eveningness had a greater predictive power on daytime sleepiness than time in bed. Therefore, we must consider other factors in addition to sleep duration when planning interventions for daytime sleepiness.
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Kapoor, Ashna, Chloe Wills, Andrew Tubbs, and Michael Grandner. "120 Seeking Treatment for Daytime Sleepiness: Beliefs and Attitudes Among People with Excessive Daytime Sleepiness." Sleep 44, Supplement_2 (May 1, 2021): A49. http://dx.doi.org/10.1093/sleep/zsab072.119.

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Abstract Introduction Sleepiness impacts health and functioning, but many people with sleepiness do not seek care. Beliefs and attitudes about treatments for sleepiness may be useful to know in designing and targeting interventions. Methods N=28 participants with excessive daytime sleepiness (ESS&gt;=10) but no other major medical problems were recruited from the community. They were administered an Epworth Sleepiness Scale and Fatigue Severity Scale at baseline, and asked about a wide range of beliefs/attitudes about seeking medical care about sleepiness, and whether they Strongly Agree (SA), Agree (A), Disagree (D), or Strongly Disagree (SD) with them. Ordinal logistic regressions examined agreement associated with baseline sleepiness and fatigue, adjusted for age, sex, and race/ethnicity. Nominal significance was determined as p&lt;0.05. Results Rates of baseline agreement were as follows: People with insomnia (SA:50%,A:50%), sleep apnea (SA:68%,A:32%), and daytime sleepiness (SA:50%,A:36%,D:14%) “should discuss their problems with their doctor or health care provider.” “I have talked to my doctor about sleep problems” (SA:18%,A:23%,D:41%,SD18%). “I have talked to my doctor about daytime sleepiness (SA:23%,A:14%,D:45%,SD:18%). “If I had problems sleeping, I would discuss it with my doctor or health care provider” (SA:27%,A:50%,D:23%). “If I had problems with daytime sleepiness, I would discuss it with my doctor or health care provider” (SA:23%,A:50%,D:27%). “Excessive daytime sleepiness is something that can be improved with medical treatment” (SA:14%,A:55%,D:32%). “Excessive daytime sleepiness is something that can be improved with psychological treatment” (SA:9%,A:64%,D:27%). “Excessive daytime sleepiness is something that can be improved with complementary/alternative medicine treatment” (SA:9%,A:68%,D:18%,SD:5%). “I am concerned about side effects of medical treatments for daytime sleepiness” (SA:45%,A:42%,D:14%). These factors were not associated with baseline sleepiness. Those with higher baseline fatigue were more likely to report having talked to their doctor about sleepiness (oOR=1.33, p=0.02) and having talked to their doctor about sleep problems in general (oOR=1.54, p=0.02). Conclusion Real-world beliefs and attitudes about treatments for sleepiness reflect a general positive attitude towards addressing these issues with medical providers, not a very strong one. Side effects of medications are a common concern. Baseline fatigue may spur individuals to talk to their doctor. Support (if any) This work was supported by Jazz Pharmaceuticals
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39

Rosenthal, Leon D., and Renata M. Meixner. "Psychological Status and Levels of Sleepiness-Alertness Among Patients With Insomnia." CNS Spectrums 8, no. 2 (February 2003): 114–19. http://dx.doi.org/10.1017/s1092852900018332.

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AbstractAre symptoms of daytime sleepiness relevant among patients with insomnia? Patients with insomnia frequently report daytime consequences secondary to their difficulty initiating and maintaining sleep. The purpose of this study was to determine the frequency of daytime sleepiness as defined by a self-reported measure of daytime sleepiness (the Epworth Sleepiness Scale). In addition, the study characterized the patients' psychological status using the Symptom Checklist-90-Revised. The study corroborated a relatively high frequency of excessive daytime sleepiness and psychiatric conditions among patients with insomnia. Furthermore, the results of the study suggest variation in psychological distress levels, according to the different levels of sleepiness/alertness.
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40

Reeve, Sarah, Bryony Sheaves, and Daniel Freeman. "Excessive sleepiness in patients with psychosis: An initial investigation." PLOS ONE 16, no. 1 (January 15, 2021): e0245301. http://dx.doi.org/10.1371/journal.pone.0245301.

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Clinical experience indicates that excessive sleepiness and hypersomnia may be a common issue for patients with psychosis. Excessive sleepiness is typically ascribed to the sedating effects of antipsychotic medications but there may be other potential contributors such as sleep disorders and depression. Furthermore, the impact of excessive sleepiness itself on patients’ symptoms and general wellbeing is yet to be examined. The current study reports an exploratory cross-sectional between-groups comparison of patients with early psychosis fulfilling criteria assessed in a diagnostic interview for problematic excessive sleepiness (n = 14), compared with those not reporting excessive sleepiness (n = 46). There were no differences between the groups in diagnosis, medication type, or antipsychotic medication dosage. There were no significant group differences in sleep duration. Significantly lower activity levels were found in the excessive sleepiness group. Insomnia and nightmares were common in those reporting excessive sleepiness. No significant differences were found in psychiatric symptoms, although data did indicate more severe cognitive disorganisation and grandiosity, but less severe paranoia and hallucinations, in the excessive sleepiness group. Wide confidence intervals and small sample size mean that care should be taken interpreting these results. Overall, this study indicates that excessive sleepiness may not be solely related to medication but also to low levels of activity and other sleep disorders. This is a novel finding that, if replicated, could indicate routes of intervention for this clinical issue. Future research should aim to disentangle directions of effect amongst sleepiness, mood, activity, and psychotic symptoms and investigate possible interventions for excessive sleepiness in psychosis.
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41

Cai, A., J. Manousakis, T. Lo, J. Horne, M. Howard, and C. Anderson. "P017 Am I sleepy? – Subjective Sleepiness and Drowsy Driving: A systematic review and meta-analysis." SLEEP Advances 2, Supplement_1 (October 1, 2021): A27. http://dx.doi.org/10.1093/sleepadvances/zpab014.065.

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Abstract Introduction Driving impairment due to sleep loss is a major contributor to motor vehicle crashes resulting in severe injury or fatalities. Ideally, drivers should be aware of their sleepiness and cease driving to reduce risk of a crash. However, there is little consensus on how accurately drivers can identify sleepiness, and how this relates to subsequent driving impairment. To examine whether drivers are aware of their sleepiness, we systematically reviewed the literature. Methods The research question for this review was “are drivers aware of sleepiness while driving, and to what extent does subjective sleepiness accurately reflect driving impairment?”. Our search strategy led to thirty-four simulated/naturalistic driving studies for review. We then extracted the relevant data. Correlational data were examined using meta-analysis, while predictive data were assessed via narrative review. Results Results showed that drivers were aware of sleepiness, and this was associated with both driving impairment and physiological drowsiness. Overall, subjective sleepiness was more strongly correlated (a) with ocular and EEG-based outcomes (rweighted = .70 and .73, respectively, p&lt;.001), rather than lane position and speed outcomes (rweighted = .46 and .49, respectively, p&lt;.001); (b) under simulated driving conditions compared to naturalistic drives; and (c) when the Karolinska Sleepiness Scale was used to measure subjective sleepiness. Lastly, high levels of sleepiness significantly predicted crash events and lane deviations. Discussion This review presents evidence that drivers are aware of sleepiness when driving, and suggests that interventions such as stopping driving when feeling ‘sleepy’ may significantly reduce crash risk.
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Al-Abri, Mohammed A., Samir Al-Adawi, Ibrahim Al-Abri, Faisal Al-Abri, Atsu Dorvlo, Ronald Wesonga, and Sanjay Jaju. "Daytime Sleepiness Among Young Adult Omani Car Drivers." Sultan Qaboos University Medical Journal [SQUMJ] 18, no. 2 (September 9, 2018): 143. http://dx.doi.org/10.18295/squmj.2018.18.02.004.

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Objectives: Sleepiness and fatigue play significant roles in exacerbating the occurrence of car crashes. However, there is a dearth of studies examining the prevalence of sleepiness while driving among Omanis. This study aimedto determine the proportion of young Omani adults who confess to daytime sleepiness while driving and to investigate associations between gender, daytime sleepiness and risk of obstructive sleep apnoea syndrome (OSAS). Methods: This cross-sectional study took place at the Sultan Qaboos University Hospital, Muscat, Oman, between May and July 2014 and included 600 young adult Omani non-commercial drivers. The Berlin Questionnaire and Epworth Sleepiness Scale (ESS) were distributed among the participants, along with additional questions about their sleeping habits. Associations between daytime sleepiness while driving and nocturnal sleep duration, risk of OSAS and gender were determined. Results: A total of 492 private vehicle drivers took part in the study (response rate: 82%), of which 50.4% were male. Overall, 124 Omanis (25.2%) reported experiencing daytime sleepiness while driving at least once per month. There was a significant association between nocturnal sleep duration of <6 hours and sleepiness while driving (P = 0.042). Female participants were significantly more likely to score >10 on the ESS, indicating a greater propensity for daytime sleepiness (P = 0.006). However, male drivers were significantly more likely to report sleepiness while driving (P = 0.001). Conclusion: Sleepiness while driving was common among young male drivers in Oman and might be due to nocturnal sleep deprivation. Further studies are needed so that preventative measures can be developed.Keywords: Motor Vehicles; Traffic Accidents; Sleep; Fatigue; Obstructive Sleep Apnea Syndrome; Oman.
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Holding, Benjamin C., Tina Sundelin, Helena Schiller, Torbjörn Åkerstedt, Göran Kecklund, and John Axelsson. "Sleepiness, sleep duration, and human social activity: An investigation into bidirectionality using longitudinal time-use data." Proceedings of the National Academy of Sciences 117, no. 35 (August 17, 2020): 21209–17. http://dx.doi.org/10.1073/pnas.2004535117.

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Daytime sleepiness impairs cognitive ability, but recent evidence suggests it is also an important driver of human motivation and behavior. We aimed to investigate the relationship between sleepiness and a behavior strongly associated with better health: social activity. We additionally aimed to investigate whether a key driver of sleepiness, sleep duration, had a similar relationship with social activity. For these questions, we considered bidirectionality, time of day, and differences between workdays and days off. Over 3 wk, 641 working adults logged their behavior every 30 min, completed a sleepiness scale every 3 h, and filled a sleep diary every morning (rendering >292,000 activity and >70,000 sleepiness datapoints). Using generalized additive mixed-effect models, we analyzed potential nonlinear relationships between sleepiness/sleep duration and social activity. Greater sleepiness predicted a substantial decrease in the probability of social activity (odds ratio 95% CI = 0.34 to 0.35 for days off), as well as a decreased duration of such activity when it did occur. These associations appear especially robust on days off and in the evenings. Social duration moderated the typical time-of-day pattern of sleepiness, with, for example, extended evening socializing associated with lower sleepiness. Sleep duration did not robustly predict next-day social activity. However, extensive social activity (>5 h) predicted up to 30 min shorter subsequent sleep duration. These results indicate that sleepiness is a strong predictor of voluntary decreases in social contact. It is possible that bouts of sleepiness lead to social withdrawal and loneliness, both risk factors for mental and physical ill health.
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Sangal, R. "Subjective sleepiness ratings (Epworth sleepiness scale) do not reflect the same parameter of sleepiness as objective sleepiness (maintenance of wakefulness test) in patients with narcolepsy." Clinical Neurophysiology 110, no. 12 (December 1, 1999): 2131–35. http://dx.doi.org/10.1016/s1388-2457(99)00167-4.

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Di Muzio, Marco, Flaminia Reda, Giulia Diella, Emanuele Di Simone, Luana Novelli, Aurora D’Atri, Annamaria Giannini, and Luigi De Gennaro. "Not only a Problem of Fatigue and Sleepiness: Changes in Psychomotor Performance in Italian Nurses across 8-h Rapidly Rotating Shifts." Journal of Clinical Medicine 8, no. 1 (January 5, 2019): 47. http://dx.doi.org/10.3390/jcm8010047.

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Although many studies have detailed the consequences of shift work in nurses concerning health, fatigue, sleepiness, or medical errors, no study has been carried out trying to disentangle the contribution of sleepiness and fatigue associated to shift work from the attentional performance. The aim of this pilot study is (A) to investigate the effects of an 8-h rapidly rotating shift on fatigue and sleepiness among staff nurses and (B) how these factors affect their psychomotor performance. Fourteen nurses were selected for a within-subject cross-sectional study according to this sequence of shifts: morning–afternoon–night, which were compared as function of tiredness, sleepiness, and performance at the Psychomotor Vigilance Task (PVT). Subsequently, a within-subject Analysis of Covariance (ANCOVA) evaluated if the observed differences between shifts persist when the contribution of sleepiness is controlled. Our results clearly indicate that night shifts are associated with significant greater sleepiness and tiredness, and worsened performance at the PVT. As hypothesized, ANCOVA showed that these differences disappear when the contribution of sleepiness is controlled. Results point to a lower psychomotor performance in night compared to day shifts that depends on sleepiness. Hence, interventions to minimize the consequences of the night shift should consider a reduction of sleepiness.
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Wells, Anita S., Nicholas W. Read, Chris Idzikowski, and Jane Jones. "Effects of meals on objective and subjective measures of daytime sleepiness." Journal of Applied Physiology 84, no. 2 (February 1, 1998): 507–15. http://dx.doi.org/10.1152/jappl.1998.84.2.507.

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Wells, Anita S., Nicholas W. Read, Chris Idzikowski, and Jane Jones. Effects of meals on objective and subjective measures of daytime sleepiness. J. Appl. Physiol. 84(2): 507–515, 1998.—Effects of recent food ingestion on daytime sleepiness were assessed in 16 subjects (8 men and 8 women) who were each studied on two occasions, 28 days apart. On each occasion, subjects ate a high-fat low-carbohydrate (CHO) (fat/CHO energy ratio 54:41) meal and an isoenergetic low-fat high-CHO meal (fat/CHO energy ratio 7:88) 4 h apart in a counterbalanced order. Sleepiness was measured at 2-h intervals by using the Multiple Sleep Latency Test and the Akerstedt electroencephalograph sleepiness test. To control for circadian factors, one group (4 men, 4 women) ate the meals 2 h later than did the other group of subjects. There were no differences in sleepiness according to the composition of the meal. Sleepiness in the Multiple Sleep Latency Test was significantly greater 1.5 h after the meals were eaten than before ( F 11.37; df 1,15; P = 0.004). Sleepiness was also enhanced in the Akerstedt sleepiness test 3 h 20 min after the meals. The results suggest that the meals induced an enhancement in sleepiness that was not solely due to circadian rhythms.
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Herron, Katherine, Derk-Jan Dijk, Philip Dean, Ellen Seiss, and Annette Sterr. "Quantitative Electroencephalography and Behavioural Correlates of Daytime Sleepiness in Chronic Stroke." BioMed Research International 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/794086.

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Sleepiness is common after stroke, but in contrast to its importance for rehabilitation, existing studies focus primarily on the acute state and often use subjective sleepiness measures only. We used quantitative electroencephalography (qEEG) to extract physiological sleepiness, as well as subjective reports, in response to motor-cognitive demand in stroke patients and controls. We hypothesised that (a) slowing of the EEG is chronically sustained after stroke; (b) increased power in lower frequencies and increased sleepiness are associated; and (c) sleepiness is modulated by motor-cognitive demand. QEEGs were recorded in 32 chronic stroke patients and 20 controls using a Karolinska Drowsiness Test protocol administered before and after a motor priming task. Subjective sleepiness was measured using the Karolinska Sleepiness Scale. The findings showed that power density was significantly increased in delta and theta frequency bands over both hemispheres in patients which were not associated with subjective sleepiness ratings. This effect was not observed in controls. The motor priming task induced differential hemispheric effects with greater increase in low-frequency bands and presumably compensatory increases in higher frequency bands. The results indicate sustained slowing in the qEEG in chronic stroke, but in contrast to healthy controls, these changes are not related to perceived sleepiness.
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Giot, Claire, Laure Lejeune, Nicolas Bessot, and Damien Davenne. "A Survey Exploring How Watch Officers Manage Effects of Sleep Restrictions during Maritime Navigation." International Journal of Environmental Research and Public Health 20, no. 2 (January 5, 2023): 986. http://dx.doi.org/10.3390/ijerph20020986.

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Merchant marine officers work shifted hours with a sometimes very tiring work/rest rhythm that can lead to sleep restrictions and increased sleepiness during navigation. The aim of this study is to assess the risk of sleep deprivation-related sleepiness during navigation and the factors contributing to this risk. A second objective is to evaluate the use and effectiveness of sleepiness countermeasures. An online quantitative survey of 43 questions was conducted on 183 French maritime officers. A total of 39.9% of the participants experienced at least occasionally severe sleepiness and 29% had fallen asleep during navigation. A total of 42.6% reported not being able to experience enough sleep on board. Sleep requirements were affected by time spent on board, area of activity, and watch system. Sleepiness was more common during monotonous than demanding sailing. Officers frequently use caffeine, as well as vigilance-enhancing activities that they consider effective, which are not yet validated, (i.e., social interactions). However, they are not inclined to seek replacements in case of severe sleepiness. Sleep deprivation is common among maritime officers and leads to the risk of severe sleepiness while operating the vessel, with few effective countermeasures available. Strategies used for sleep management and sleepiness prevention should focus more on sleep duration, safety culture, and improving countermeasures to sleepiness.
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Braga, Douglas Martins, Gilmar Fernandes do Prado, Denis Bernardi Bichueti, and Enedina Maria Lobato de Oliveira. "Positive correlation between functional disability, excessive daytime sleepiness, and fatigue in relapsing-remitting multiple sclerosis." Arquivos de Neuro-Psiquiatria 74, no. 6 (June 2016): 433–38. http://dx.doi.org/10.1590/0004-282x20160069.

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ABSTRACT Sleep disorders in patients with multiple sclerosis have various causes and interfere with daytime wakefulness. This study assessed the correlation between fatigue, excessive daytime sleepiness and level of disability. Method Retrospective review of medical records from patients with multiple sclerosis to collect data on severity of fatigue, disability, daytime sleepiness, and depression. From 912 medical records reviewed, 122 reported daytime sleepiness: 67% had relapsing remitting, 12% had primary progressive, and 21% had secondary progressive. Results In 95% of the patients with relapsing remitting who complained of daytime sleepiness and fatigue, association was found between these symptoms and neurological disability. Patients with relapsing remitting who complained of daytime sleepiness and fatigue also experienced depression (p = 0.001). No association between fatigue, excessive daytime sleepiness, depression, and disability was found in patients with progressive disease. Conclusion In relapsing remitting, there is correlation between functional disability, excessive daytime sleepiness and fatigue, a finding not confirmed in primary progressive and secondary progressive form.
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Hatcher, Alexis, Tiphanie G. Sutton, and Matt R. Judah. "The Indirect Effect of Worry on Daytime Sleepiness Among College Students." Psi Chi Journal of Psychological Research 26, no. 3 (2021): 330–35. http://dx.doi.org/10.24839/2325-7342.jn26.3.330.

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Daytime sleepiness is a prevalent problem among college students that is associated with impairment in academic functioning and mental health risk. Sleep disturbances, such as difficulty falling and staying asleep, are associated with daytime sleepiness. Sleep disturbances are predicted by worry and may serve as mechanisms by which worry conveys risk for daytime sleepiness. The present study examined the indirect effect of worry on daytime sleepiness through difficulty falling asleep and difficulty staying asleep in a cross-sectional undergraduate sample (N = 172). An indirect effect of worry on daytime sleepiness was observed through difficulty staying asleep, ab = .02, 95% CI [.001 .04]. There was no indirect effect through difficulty falling asleep, ab = −.01, 95% CI [−.03, .01]. The study contributed to the understanding of how worry is associated with daytime sleepiness among college students. Additional research using longitudinal and experimental design is needed to further test difficulty staying asleep as a mechanism between worry and sleepiness.
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