A Study on the Sleep Forehead EEG

2013 ◽  
Vol 311 ◽  
pp. 507-511
Author(s):  
Yi Yeh Lee ◽  
Aaron Raymond See ◽  
Shih Chung Chen ◽  
Chih Kuo Liang
Keyword(s):  
Sleep Quality ◽  
Sleep Deprivation ◽  
Single Channel ◽  
Poor Sleep ◽  
Total Sleep Deprivation ◽  
Theta Wave ◽  
Before And After ◽  
Neuropsychological Tasks

The purpose of this study was to utilize prefrontal EEG to discuss the theta EEG on the sleep quality of good and poor sleepers. Prefrontal EEG was chosen as it was positively correlated with reduced performance on neuropsychological tasks during total sleep deprivation. Hence, two test groups of ten volunteers were taken as test groups of good and poor sleepers. In addition, six tasks were performed using single channel forehead EEG. Results showed that audio stimulation provided the largest difference in theta amplitude between good and poor sleepers. Second, a large difference in the theta amplitude could be observed before and after the audio stimulation for poor sleepers. Third, it was also proven that prefrontal EEG could be conveniently applied for studying poor sleep qualities as it exhibited significant changes in the subject’s prefrontal EEG after biofeedback stimulation. In conclusion, the current research was able to provide significant differences between good and poor sleepers using prefrontal EEG through measuring and analyzing EEG theta wave.

scholarly journals The Effect of Jacobson’s Progressive Muscular Relaxation on Sleep Quality in Elderly at Budi Agung Social Institution

2020 ◽  
Vol 9 (1) ◽  
pp. 12-18
Author(s):  
Dyah G. R. Kareri ◽  
Derri R. Tallo Manafe ◽  
Maria Kurniati Ester Payon
Keyword(s):  
Sleep Quality ◽  
Social Institution ◽  
Poor Quality ◽  
Bivariate Analysis ◽  
P Value ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Muscular Relaxation ◽  
Before And After

ABSTRACT Background: The quality of sleep in elderly tend to decline. This occurs as a result of certain changes such as physical, biological, mental and socio-economic. The quality of sleep may influence the healthcondition for short or long terms. Poor quality of sleep may cause difficulty in concentrating, slow response, memory disturbance and decrease of performance in daily life. The decline of sleep qualitymay be resolved with Jacobson’s Progressive Muscular Relaxation (JPMR) exercise. Objective: To analyze the effect of Jacobson’s Progressive Muscular Relaxation on sleep quality inelderly at Budi Agung Social Institution. Methods: This study is a pre experimental study with one group pretest-posttest design. The subject ofthis study were the 19 elderly at Budi Agung Social Institution. In this study, JPMR exercise was done in5 days. Sleep quality before and after JPMR exercise was measured using Pittsburgh Sleep Quality Index(PSQI) questionnair. The data obtained was analyzed using McNemar test. Results: From a total of 19 subjects, 3 subjects had good sleep quality while 16 subjecst had poor sleepquality. On the other hand, after the JPMR excercise, improved sleep qualiy was found in the 16 subjectswhile the 3 subjects still had poor sleep quality; bivariate analysis p value = 0.002 (p <0.05). Conclusion: Jacobson’s Progressive Muscular Relaxation (JPMR) has a significant effect on sleepquality in elderly at Budi Agung Social Institution. Keywords: elderly, sleep quality, Jacobson’s Progressive Muscular Relaxation, Pittsburgh Sleep QualityIndex.

scholarly journals Hospitalized COVID-19 Patients Were Five Times More Likely to Suffer From Total Sleep Deprivation Compared to Non-COVID-19 Patients; an Observational Comparative Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Eva S. van den Ende ◽  
Kim D. I. van Veldhuizen ◽  
Belle Toussaint ◽  
Hanneke Merten ◽  
Peter M. van de Ven ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Comparative Study ◽  
Sleep Deprivation ◽  
Total Sleep Time ◽  
Short Form ◽  
Sleep Time ◽  
Hospital Environment ◽  
Poor Sleep ◽  
Total Sleep Deprivation ◽  
Patient Reported

Objectives: Sleeping disorders are a common complaint in patients who suffer from an acute COVID-19 infection. Nonetheless, little is known about the severity of sleep disturbances in hospitalized COVID-19 patients, and whether these are caused by disease related symptoms, hospitalization, or the SARS-CoV-2 virus itself. Therefore, the aim of this study was to compare the quality and quantity of sleep in hospitalized patients with and without COVID-19, and to determine the main reasons for sleep disruption.Methods: This was an observational comparative study conducted between October 1, 2020 and February 1, 2021 at the pulmonary ward of an academic hospital in the Netherlands. This ward contained both COVID-19-positive and -negative tested patients. The sleep quality was assessed using the PROMIS-Sleep Disturbance Short Form and sleep quantity using the Consensus Sleep Diary. Patient-reported sleep disturbing factors were summarized.Results: A total of 79 COVID-19 patients (mean age 63.0, male 59.5%) and 50 non-COVID-19 patients (mean age 59.5, male 54.0%) participated in this study. A significantly larger proportion of patients with COVID-19 reported not to have slept at all (19% vs. 4% of non-COVID-19 patients, p = 0.011). The Sleep quality (PROMIS total score) and quantity (Total Sleep Time) did not significantly differ between both groups ((median PROMIS total score COVID-19; 26 [IQR 17-35], non-COVID-19; 23 [IQR 18-29], p = 0.104), (Mean Total Sleep Time COVID-19; 5 h 5 min, non-COVID-19 mean; 5 h 32 min, p = 0.405)). The most frequently reported disturbing factors by COVID-19 patients were; ‘dyspnea’, ‘concerns about the disease’, ‘anxiety’ and ‘noises of other patients, medical staff and medical devices’.Conclusion: This study showed that both patients with and without an acute COVID-19 infection experienced poor quality and quantity of sleep at the hospital. Although the mean scores did not significantly differ between groups, total sleep deprivation was reported five times more often by COVID-19 patients. With one in five COVID-19 patients reporting a complete absence of night sleep, poor sleep seems to be a serious problem. Sleep improving interventions should focus on physical and psychological comfort and noise reduction in the hospital environment.

The Influence of Depression and Obesity on Sleep Quality in Children/adolescents

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
M. Leibow ◽  
L. Abaro-Thomas ◽  
S. Devore ◽  
M. Doan ◽  
J. Pivonka-Jones ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Children And Adolescents ◽  
Pediatric Obesity ◽  
Hierarchical Regression ◽  
Poor Sleep ◽  
Post Intervention ◽  
Symptoms Of Depression ◽  
Intervention Measures ◽  
Before And After

Aims:Limited to no literature exists on the association among sleep quality, obesity and depression in pediatric populations. This study aims to explore this association by examining the sleep quality of children and adolescents before and after a twelve-week comprehensive multidisciplinary pediatric obesity program.Methods:Archival data from the pediatric obesity program included 71 children ages 6-17 (M=10.24, SD=2.74 ) who had been assessed pre and post intervention using the Children's Depression Inventory (CDI), a Sleep Questionnaire, and physician derived Body Mass Index (BMI). On all measures, higher scores indicate presence of symptoms of depression, sleep difficulties, or obesity.Results:High scores on the CDI proved to predict poor sleep quality both at intake and exit. Hierarchical regression exhibited change in BMI from intake to exit and predicted sleep quality. As BMI decreased from intake to exit, sleep quality increased.Conclusions:The current study suggests that sleep quality is influenced by the level of depression in children and adolescents both at pre and post intervention measures. Both depression and BMI influenced sleep quality. When the effect of BMI was accounted for, depression significantly predicted sleep quality. The more depressed children/adolescents reported to be, the lower their quality of sleep. Thus, this study suggests the importance of sleep and depression in the treatment of pediatric obesity. This research supports the importance of a multidisciplinary approach to addressing pediatric obesity.

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

scholarly journals Understanding factors relevant to poor sleep and coping methods in people with schizophrenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yen-Ching Chang ◽  
Megan C. Chang ◽  
Yun-Jou Chang ◽  
Ming-De Chen
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Mental Health Professionals ◽  
Sleep Problems ◽  
Psychiatric Symptoms ◽  
Structured Interview ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Coping Methods

Abstract Background Sleep disruption is pervasive in people with schizophrenia, but few studies have explored their sleep experiences. This study aims to identify factors relevant to sleep problems and explore coping methods used by community-dwelling people with schizophrenia. Methods Eighteen participants with schizophrenia were recruited from three mental health centers in Taiwan. They completed a semi-structured interview and the Pittsburgh Sleep Quality Index (PSQI) assessment. The Person-Environment-Occupation model offered a framework to assess factors related to sleep. Thematic analysis was used for the qualitative data analysis. Results Factors related to sleep were classified under person, environment, and occupation domains. The person domain included three subthemes: psychiatric symptoms, unpleasant emotions, and frustration about sleep. The environment domain included three subthemes: sensory intrusions from the environment, quality of bedding, and roommates. The occupation domain included sleep interruption and sleep preparation. There were notable discrepancies in sleep quality between the participants’ narratives and their PSQI global scores. Regarding coping methods for poor sleep, sleep medication was the primary strategy while some participants also used other strategies, such as modifying the environment, adjusting routines, or engaging in activities that improve sleep quality. Conclusions Psychiatric symptoms and nightmares were identified as unique sleep disruptions in people with schizophrenia, and poor economic status was also found to impact their sleep. The sleep quality of people with schizophrenia tends to be poor, as identified by the PSQI, even though they may have positive perceptions of their sleep quality. Our participants appeared to prefer to take hypnotics to address their sleep problems, which may be due to limited knowledge about alternatives. Mental health professionals are encouraged to receive training in the application of non-pharmacological approaches to support their clients’ issues related to sleep.

scholarly journals Evaluation of quality of sleep in women with stress urinary incontinence before and after surgical correction

2018 ◽  
Vol 16 (2) ◽  
Author(s):  
Josyandra Paula de Freitas ◽  
Mariana Pereira Inácio Silvestri ◽  
César Eduardo Fernandes ◽  
Emerson de Oliveira
Keyword(s):  
Urinary Incontinence ◽  
Stress Urinary Incontinence ◽  
Sleep Quality ◽  
Sleep Disorder ◽  
Epworth Sleepiness Scale ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Quality Of Sleep ◽  
Before And After

ABSTRACT Objective: To evaluate the quality of sleep in women with urinary incontinence before and after sling surgery. Methods: A prospective study of case series of women with urodynamic diagnosis of stress urinary incontinence. To evaluate the subjective quality of sleep, two specific questionnaires were used and validated for the Portuguese Language: Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index. The questionnaires were applied before and 6 months after surgical repair. Results: When analyzing the Epworth Sleepiness Scale, there was an improvement in sleep quality (p=0.0401). For the Pittsburgh Sleep Quality Index, only for sleep disorder there was improvement in quality of sleep after surgery (p=0.0127). Conclusion: Women with urinary incontinence, submitted to surgery with sling, showed improvement in both quality of sleep and sleep disorder.

Burden of Care and Its Relationship with Sleep Quality of Cancer Patients’ Caregivers

2021 ◽  
Author(s):  
Mohammadreza Boostaneh ◽  
Mohammad Zirak ◽  
Ramezan Fallah
Keyword(s):  
Sleep Quality ◽  
Cancer Patients ◽  
Poor Sleep ◽  
Burden Of Care ◽  
Quality Of Sleep ◽  
Study Results ◽  
Northwest Of Iran ◽  
The Mean ◽  
Convenience Sampling

Abstract Purpose: This study aimed to assess the burden of care and its relationship with sleep quality of cancer patients’ caregivers.Methods: This descriptive-correlational study was conducted in a referral center of cancer in Zanjan, northwest of Iran. 135 caregivers of cancer patients were recruited through convenience sampling method. The data were collected using a demographic characteristics questionnaire, Novak and Guest’s caregiver burden inventory and Pittsburgh sleep quality index (PSQI). The collected data was analyzed using descriptive and inferential statistics.Results: The mean (± SD) age of the participants was 39.71 (± 10.74) years. The mean (± SD) burden of care and sleep quality of the participants was 45.22 (± 17.75) and 8.88 (± 4.21), respectively. It was found that there is a significant positive relationship between burden of care and quality of sleep scores (r = 0.65, P < 0.001).Conclusion: cancer patients’ caregivers endure a remarkable burden of care and their sleep quality is undesirable. Results indicated that an increase in the burden of care reduces the caregiver’s quality of sleep. High burden of care and poor sleep quality may reduce the quality of the provided care that increase the costs and weakens the disease prognosis. According to the study results, reducing burden of care is an effective strategy regarding improving the caregivers’ quality of sleep that can improve the quality of provided cares by caregivers.

Restless leg syndrome in adult patients with β-thalassemia major

2021 ◽  
Vol 74 (7-8) ◽  
pp. 266-272
Author(s):  
Ramazan Erdem ◽  
Nazan Şimşek Erdem ◽  
Erdal Kurtoğlu
Keyword(s):  
Sleep Quality ◽  
Restless Legs Syndrome ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Thalassemia Major ◽  
Adult Patients ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Restless Legs

To investigate the quality of sleep and the presence of Restless Legs Syndrome (RLS) in the Turkish population with β-thalassemia major (TM). The second aim was to assess the risk factors of RLS in TM adults. The study sample comprised of 121 patients at least 18 years old with TM. The patients’ socio-demographic information, body mass indexes (BMI), current medications, laboratory data were recorded. The patients were asked if they had a history of chronic kidney disease, diabetes mellitus (DM), and polyneuropathy. Restless legs syndrome was diagnosed according to the International Restless Legs Syndrome Study Group criteria. The sleep quality of the patients was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. The Epworth Sleepiness Scale (ESS) was used to assess excessive daytime sleepiness in the patients. The median age of the patients was 25 years (range 18-52). The mean BMI was 21.49±2.5 (R 14-26.5) for all patients. The prevalence of RLS was 5% in TM adult patients. The TM patients with RLS had no major complications of TM. The median PSQI global score of all patients was 3. Twenty-two (18.1%) patients had poor sleep quality. The reason for poor sleep quality was RLS symptoms in four patients (18%). There was no significant association between PSQI total score and blood parameters of the patients. Twelve (9.9%) patients had ESS scores greater than 10, which indicates excessive daytime sleepiness. The prevalence of RLS in TM patients was similar to that of the general Turkish adult population. These results indicate that RLS may occur in patients with TM, although they had a high level of serum ferritin.

scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

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