scholarly journals Investigation of Sleep Quality and Sleep Disorders in Students of Medicine

2016 ◽  
Vol 17 (4) ◽  
pp. 132-140 ◽  
Author(s):  
Mustafa Saygın
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders

scholarly journals 696 Quality of sleep is the only predictor of suicide during Covid-19 lockdown in University students?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A272-A272
Author(s):  
Alessandra Castelnuovo ◽  
Samantha Mombelli ◽  
Daniela Bottoni ◽  
Antonella Somma ◽  
Andrea Fossati ◽  
...  
Keyword(s):  
Medical Students ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Social Stress ◽  
Depression Symptoms ◽  
Daily Routine ◽  
Quality Of Sleep ◽  
Suicidal Thoughts

Abstract Introduction COVID-19 epidemic led to great psychological and social stress, related to anxiety, depression, sleep disorders, suicidal risk and behavior, and changes in daily routine. The aim of this study was to assess the psychological impact of COVID-19 lockdown in Italian students. We focused on perceived sleep quality, anxiety and depression symptoms, and mostly on risk of suicide. Methods A total of 307 students (mean age 22.84±2.68) completed Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II). In our study, we focused on item 9 of BDI-II, that is related to suicide. We divided our sample on presence or absence of suicidal ideation based on this item. Results We found that 30.1% showed depressive, while 38.2% anxious symptoms. Concerning item 9 of BDI-II (suicidal thoughts or wishes), 84.7% answered that they do not have any thoughts of killing themselves, while 15.3% answered that they have some suicidal ideation. Concerning sleep variables, we found that 58% of our sample showed a PSQI total score higher than 5 (poor quality of sleep), and a global worsening in sleep quality and increase of insomnia both in student with and without suicidal ideation. Conclusion Our results on risk of suicide are in line with literature. Recent reviews focused on suicidal ideation in medical students found that depressive symptoms and suicidal ideation are common among medical students, finding a prevalence of suicidal ideation of 11%. Several studies suggest that sleep disorders are a risk factor for suicidal thoughts and behaviours. Our findings show that sleep cannot considered a predictive factor of risk of suicide during health emergency, because the risk is polyfactorial. Support (if any) None

scholarly journals 0836 BORN IN THE USA OR BORN IN MEXICO? IMPLICATIONS FOR SLEEP DURATION, SLEEP QUALITY, SLEEP DISORDERS SYMPTOMS AT THE US-MEXICO BORDER

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A309-A310
Author(s):  
A Okuagu ◽  
K Granados ◽  
P Alfonso-Miller ◽  
O Buxton ◽  
S Patel ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Duration ◽  
The Us ◽  
Quality Sleep ◽  
The Usa ◽  
Mexico Border ◽  
Us Mexico Border

scholarly journals Evaluation of Subjective Sleep Disturbances in Cancer Patients: A Cross-Sectional Study in a Radiotherapy Department

2021 ◽  
Vol 12 ◽  
Author(s):  
Jun Wang ◽  
Bei-Yun Zhou ◽  
Chen-Lu Lian ◽  
Ping Zhou ◽  
Hui-Juan Lin ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disorders ◽  
Cancer Patients ◽  
Sleep Disturbances ◽  
Cancer Type ◽  
Multivariate Logistic Regression ◽  
Subjective Sleep ◽  
Radiotherapy Department

Background: The factors associated with sleep disturbances in cancer patients remains unclear. This study aimed to explore the prevalence of sleep disorders and predictors associated with sleep disturbance in cancer patients from a radiotherapy department.Methods: Patients with cancers were recruited before the start of radiotherapy from our institution between January 2019 and February 2020. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis.Results: A total of 330 eligible patients were included. Of them, 38.3% (n = 127) had the globe PSQI score >7, indicating that they suffered from sleep disorders. Patients with lung cancer (45.2%) were more likely to suffer from sleep disturbance, followed by cervical cancer (43.8%), nasopharyngeal carcinoma (41.7%), esophageal cancer (41.5%), breast cancer (37.7%), and colorectal cancer (30%). With regard to the PSQI components, the mean sleep duration was 8 h, 20.3% (n = 67) of them reported poor subjective sleep quality, 6.1% (n = 20) needed medication to improve sleep, and 53.6% (n = 177) suffered daytime dysfunction. Multivariate logistic regression models showed body mass index (BMI) ≥ 20 kg/m2 [odds ratio (OR) 0.599, 95% confidence interval (CI) 0.329–0.948, P = 0.031] and the receipt of surgery (OR 0.507, 95% CI 0.258–0.996, P = 0.048) were the significant favorable predictors for sleep disturbance, while age, gender, marital status, education level, comorbidity, metastasis status, diagnostic status, and cancer type were not significantly associated with sleep disturbance.Conclusions: Approximately 40% of the cancer patients suffer from sleep disturbance before the start of radiotherapy. Patients with BMI ≥ 20 kg/m2 and receiving surgery are less likely to develop sleep disturbance in comparison with others.

scholarly journals Clinical-Diagnostic Glossary of the Typology of Sleep Disorders in Servicemen of the Armed Forces of Ukraine

2021 ◽  
pp. 12-16
Author(s):  
Galina Guk
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Epworth Sleepiness Scale ◽  
Armed Forces ◽  
Clinical Interview ◽  
Military Hospital ◽  
Clinical Diagnostic ◽  
Status Assessment ◽  
Clinical Description

ourse. The aim of the study was to form a clinical glossary of the typology of sleep disorders in servicemen of the Armed Forces of Ukraine. Based on the Zaporizhzhia military hospital, 64 active servicemen of the Armed Forces of Ukraine with inorganic sleep disorders were examined. Based on the data obtained using the Pittsburgh Sleep Quality Questionnaire, the Epworth Sleepiness Scale and the clinical interview, five diagnostic vectors for assessing the dyssomnic status in servicemen of the Armed Forces of Ukraine were formed. Compilations of correspondences for certain diagnostic vectors formed specific variants of the dyssomnia syndrome, among which: affective-ruminative (occurred in 7.8 % people), ideator-ruminative (18.7 %), obsessive- ruminative (10.9 %), agrypnic (7.8 %), agrypno-dysphoric (14.1 %), agrypno-asthenic (21.9 %), agrypnoanesthetic (10.9 %), agrypno-hypersthenic (9.4 %), anxiety-inlaid (9.4 %), hypersensitive-inlaid (7.8 %), somatoform- inlaid (15.6 %), incubus-inlaid (25.0 %), alternating (12.5 %), inverted (18.8 %), grueling (3.1 %), anxietyinduced (14.1 %), somatoform-induced (10.9 %), incubus-induced (15.6 %), hypersensitive-induced (10.9 %), abortive (6.3 %), anxiety-fragmented (7.8 %), hypersensitive-fragmented (12.5 %), somatoform-fragmented (7.8 %), incubus-fragmented (14.1 %). According to the five formed diagnostic vectors for dyssomnic status assessment, due to which variants of sleep disorders characteristics compilations were identified and their glossary was formed. Worked out glossary is a universal nominative tool for detailed clinical description of dyssomnic manifestations.

scholarly journals Relationship between Sleep Disorders and Health Related Quality of Life—Results from the Georgia SOMNUS Study

2018 ◽  
Vol 15 (8) ◽  
pp. 1588 ◽  
Author(s):  
Nato Darchia ◽  
Nikoloz Oniani ◽  
Irine Sakhelashvili ◽  
Mariam Supatashvili ◽  
Tamar Basishvili ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Developing World ◽  
Short Form ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Insomnia Severity

The extent to which sleep disorders are associated with impairment of health-related quality of life (HRQoL) is poorly described in the developing world. We investigated the prevalence and severity of various sleep disorders and their associations with HRQoL in an urban Georgian population. 395 volunteers (20–60 years) completed Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, STOP-Bang questionnaire, Insomnia Severity Index, Beck Depression Inventory-Short Form, and Short Form Health Survey (SF-12). Socio-demographic data and body mass index (BMI) were obtained. The prevalence of sleep disorders and their association with HRQoL was considerable. All SF-12 components and physical and mental component summaries (PCS, MCS) were significantly lower in poor sleepers, subjects with daytime sleepiness, apnea risk, or insomnia. Insomnia and apnea severity were also associated with lower scores on most SF-12 dimensions. The effect of insomnia severity was more pronounced on MCS, while apnea severity—on PCS. Hierarchical analyses showed that after controlling for potential confounding factors (demographics, depression, BMI), sleep quality significantly increased model’s predictive power with an R2 change (ΔR2) by 3.5% for PCS (adjusted R2 = 0.27) and by 2.9% for MCS (adjusted R2 = 0.48); for the other SF-12 components ΔR2 ranged between 1.4% and 4.6%. ESS, STOP-Bang, ISI scores, all exerted clear effects on PCS and MCS in an individual regression models. Our results confirm and extend the findings of studies from Western societies and strongly support the importance of sleep for HRQoL. Elaboration of intervention programs designed to strengthen sleep-related health care and thereof HRQoL is especially important in the developing world.

IS POOR QUALITY SLEEP PRESENT IN OLDER ADULTS WITH WORSE SOCIAL AND HEALTH STATUS?

2021 ◽  
Vol 30 ◽  
Author(s):  
Sonia Gonçalves da Mota ◽  
Isabela Thaís Machado de Jesus ◽  
Keika Inouye ◽  
Marcela Naiara Graciani Fumagale Macedo ◽  
Tábatta Renata Pereira de Brito ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Poor Quality ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Significance Level ◽  
Quality Sleep

ABSTRACT Objective: to analyze the relationship among sleep and sociodemographic aspects, health, frailty, performance in activities of daily living, cognitive performance and depressive symptoms of older residents in the community. Method: a cross-sectional, quantitative study was conducted with 81 older adults residents in the area covered by a Family Health Unit in the city of São Carlos (SP), Brazil. Data collection occurred in 2019, through the application of the following instruments: questionnaire for socioeconomic and health characterization of the older adult, Pittsburgh Sleep Quality Index, Frailty Phenotype proposed by Linda Fried, Mini Mental State Examination, Geriatric Depression Scale, Katz Index and Lawton Scale. Participants were divided into comparative groups according to sleep quality scores. Fisher's exact and Pearson's χ2 were used. A significance level of 5% was adopted. Results: 50.6% of the older adults had poor quality sleep (n=41), followed by 33.3% of older adults with good quality sleep (n=27) and 16.1% had sleep disorders (n=13). There was a relationship between sleep quality and sex (p=0.008), work status (p=0.001), self-assessment of health (p=0.013), falls (p=0.034), pain (p=0.012), frailty level (p=0.026) and the slow gait criterion (p<0.001). Conclusion: there was a higher prevalence of poor quality sleep and sleep disorders in older patients, who do not work outside the home, who evaluated their health as regular or poor, who suffered falls in the last year and who complained of pain, frailty and slow gait.

scholarly journals Effects of menopause on sleep quality and sleep disorders

Menopause ◽  
2020 ◽  
Vol 27 (3) ◽  
pp. 295-304 ◽  
Author(s):  
Sheida Zolfaghari ◽  
Chun Yao ◽  
Cynthia Thompson ◽  
Nadia Gosselin ◽  
Alex Desautels ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders

scholarly journals Automatic Sleep Disorders Classification Using Ensemble of Bagged Tree Based on Sleep Quality Features

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 512 ◽  
Author(s):  
Edita Rosana Widasari ◽  
Koichi Tanno ◽  
Hiroki Tamura
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Stage ◽  
Computational Cost ◽  
Behavior Disorder ◽  
The Elderly ◽  
Support Vector ◽  
Ecg Signal ◽  
Quality Features

Sleep disorder is a medical disease of the sleep patterns, which commonly suffered by the elderly. Sleep disorders diagnosis and treatment are considered to be challenging due to a time-consuming and inconvenient process for the patient. Moreover, the use of Polysomnography (PSG) in sleep disorder diagnosis is a high-cost process. Therefore, we propose an efficient classification method of sleep disorder by merely using electrocardiography (ECG) signals to simplify the sleep disorders diagnosis process. Different from many current related studies that applied a five-minute epoch to observe the main frequency band of the ECG signal, we perform a pre-processing technique that suitable for the 30-seconds epoch of the ECG signal. By this simplification, the proposed method has a low computational cost so that suitable to be implemented in an embedded hardware device. Structurally, the proposed method consists of five stages: (1) pre-processing, (2) spectral features extraction, (3) sleep stage detection using the Decision-Tree-Based Support Vector Machine (DTB-SVM), (4) assess the sleep quality features, and (5) sleep disorders classification using ensemble of bagged tree classifiers. We evaluate the effectiveness of the proposed method in the task of classifying the sleep disorders into four classes (insomnia, Sleep-Disordered Breathing (SDB), REM Behavior Disorder (RBD), and healthy subjects) from the 51 patients of the Cyclic Alternating Pattern (CAP) sleep data. Based on experimental results, the proposed method presents 84.01% of sensitivity, 94.17% of specificity, 86.27% of overall accuracy, and 0.70 of Cohen’s kappa. This result indicates that the proposed method able to reliably classify the sleep disorders merely using the 30-seconds epoch ECG in order to address the issue of a multichannel signal such as the PSG.

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