scholarly journals Sleep Quality of Hospitalized Patients, Contributing Factors, and Prevalence of Associated Disorders

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Santi Kulpatcharapong ◽  
Pol Chewcharat ◽  
Kiat Ruxrungtham ◽  
Sutep Gonlachanvit ◽  
Tanisa Patcharatrakul ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Light Exposure ◽  
Hospitalized Patients ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Third ◽  
High Prevalence ◽  
Internal Medicine Wards ◽  
At Home

Background. Data in the literature has shown poor sleep quality to be frequently observed in hospitalized patients and known to be associated with poor treatment outcome. Many factors may impact poor sleep quality, and there is currently limited available data. We aim to determine the prevalence of poor sleep quality and associated factors in patients admitted to internal medicine wards as well as the change of sleep quality over time after admission. Methods. An analytic observational study was conducted at the internal medicine wards at the King Chulalongkorn Memorial Hospital, Bangkok, Thailand. Patients were personally interviewed to evaluate the history of sleep quality at home, sleep quality after the first and the third days of admission, and potential associated factors. The Pittsburgh Sleep Quality Index and screening questionnaires for the common diseases associated with poor sleep quality were also utilized. The logistic regression analysis was used to determine the independent factors which led to poor sleep quality. Results. Data were collected from 96 patients during the period of June 2015 to February 2016. The mean age of the patients was 50.8±16.7 years, and 51% were male. Infectious disease was the most common principal diagnosis accounted for 29.2%. The results show high prevalence of poor sleep quality after the first night of admission compared to baseline sleep quality at home (50% vs. 18.8%; p<0.001). After 3 days of admission, the prevalence of poor sleep quality was reduced to the level close to baseline sleep quality at home (28.1% vs. 18.8%; p=0.13). Multivariate analysis demonstrated that light exposure and pain were the main independent factors for poor sleep quality on the first day (odds ratio 6.68; 95% CI 2.25-19.84) and on the third day (odds ratio 3.47; 95% CI 1.24-9.71), respectively. Conclusions. This is the first study conducted on the sleep quality of hospitalized patients that included the follow-up period during hospital admission. Our study demonstrated high prevalence of poor sleep quality in hospitalized patients on the first day. Interestingly, the sleep quality was partly improved during hospitalization. Light exposure and pain were demonstrated to be the factors associated with poor sleep quality.

scholarly journals Sleep problems among Dutch higher educational students, working towards solutions

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
C Van Der Heijde ◽  
M Van Weeren ◽  
P Vonk
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Associated Factors ◽  
Sleep Problems ◽  
Attention Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Prevalence ◽  
Higher Educational

Abstract Background Lately, attention for the role of sleep in health and wellbeing has increased. Short sleep duration and poor quality of sleep are associated with a higher chance at several (mental) health issues, including a higher mortality risk. Furthermore it is associated with attention problems and lower academic achievement. Poor sleep has a high prevalence, especially among students. We aim to provide (policy) recommendations from studying the associated factors on an individual and social level with poor sleep and its consequences. Methods In a cross-sectional survey design (N = 493), the extent of sleep problems and its associated factors was studied amongst a group of Dutch students. The Pittsburg Sleep Quality Index (PSQI) was used. Linear regression analysis was performed. Participants were recruited through social media and e-mail (Male 43%; Female 57%; mean age, 22 years). Additionally, experts were questioned in a small survey to come up with solutions (N = 24). Results 59% of higher educational students suffer from poor sleep quality. Factors that were significantly associated with worse sleep quality were: sleep need, behavior and psychology (effects stress overload), having a paid job in the evening/night, loneliness, having the Chinese and other ethnicity and having a sleep-related disorder. Sleep was significantly associated with worse mental health, vitality and drug use. Additionally, sleep was a significant predictor for attention problems and worse academic performance in the current academic year. Conclusions Nearly 2 out of 3 students suffered from poor sleep quality, reconfirming the high prevalence amongst higher educational students in other studies. Universities can contribute to better sleep quality of their students by educating their students more about sleep hygiene (including effects of drugs and how to deal with high work pressures), and make them more aware of the availability of student psychologists and student general practitioners. Key messages Students in higher education are a population at high risk for poor sleep quality. More attention for the importance of sleep for health, wellbeing and academic achievements should be implemented in the university institutional context.

scholarly journals Prevalence of internet addiction and its association with quality of sleep among arts and science college students of Puducherry, India

2021 ◽  
Vol 8 (11) ◽  
pp. 5364
Author(s):  
Mohammed C. A. Razik ◽  
Kariyarath Cheriyath Premarajan ◽  
Akkilgunta Sujiv ◽  
Jeby Jose Olickal
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Analytical Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
High Prevalence ◽  
Science College

Background: College students are found to be heavy users of internet globally. Hence, present study was aimed to find the prevalence of internet addiction and the association of internet addiction with quality of sleep.Methods: An institution-based cross-sectional analytical study was conducted among arts and science college students of Puducherry, India. Two arts and science colleges selected and proportionate stratified sampling was used for selecting the students. Young's internet addiction scale and Pittsburgh sleep quality index were used as study tools.Results: A total of 497 students participated in the study. The median age was 19 years, and 56.3% were males. The prevalence of mild internet addiction was 42% (95% CI 37.9-46.6), and moderate addiction was 18.7% (95% CI 15.5-22.3). Prevalence of poor sleep quality was 63% (95% CI 58.8-67.3). After adjusting for the covariates, male gender had high internet addictions (2.24 95% CI 1.84-2.72, p<0.001). Students with internet addiction had 1.67 times poor sleep quality compared to their counterparts (p<0.001). Students from 20 to 24 years had poor sleep quality compared to18-19 years (p=0.040).Conclusions: There was a high prevalence of poor sleep quality among college students and was associated with internet addiction.

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.

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.

scholarly journals Quality of sleep and burnout among undergraduate medical students at the university of Nairobi, Kenya

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S279-S279
Author(s):  
Linda Nyamute ◽  
Muthoni Mathai ◽  
Anne Mbwayo
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Undergraduate Medical Students ◽  
Poor Sleep Quality ◽  
Significant Positive Association ◽  
The University

AimsThe main objective was to determine whether quality of sleep is associated with burnout among undergraduate medical students at the University of Nairobi.The null hypothesis in our study population was; 'There is no significant association between poor sleep quality and burnout'.BackgroundIn a pressure prevailing environment, medical students find themselves in a vicious cycle of cutting down on sleep in attempts to cope and adjust to increasing workloads. Students with poor sleep quality have been found to perform worse in their board exam and have strained social engagements. Ultimately, this chronic sleep deprivation may lead to burnout which may cause diminished sense of accomplishment and impaired professional conduct, that may be carried on to the career as a physician. High levels of burnout have been associated with suicides.MethodThe sample size obtained was 384 and participants were selected by a mixed sampling method. Data collection was through self-administered questionnaires. Scales used for this study were the Pittsburg Sleep Quality Index(PSQI) and the Oldenburg Burnout Inventory(OLBI).Ethical considerations were adhered to and approval obtained from the Kenyatta National Hospital-University of Nairobi(KNH-UON) Ethics Board. Data entry and analysis was by SPSS v23. Data from 336 questionnaires were deemed fit for analysis.ResultWith a response rate of 87.5%, the prevalence of poor sleep quality and burnout were 69.9% and 74.7% respectively. There was a significant positive association between poor sleep quality and female gender, clinical years of study, living with family, poorly perceived socio-economic state and poor subjective academic performance. In addition, being female, younger, pre-clinical years, living independently off-campus and poor subjective academic performance were significantly associated with higher levels of burnout.Burnout had a significant correlation with poor sleep quality. Daytime functioning, a component of sleep quality had the highest correlation with components of burnout, disengagement and exhaustion. Overall, 57% of the respondents had both poor sleep quality &burnout, while only 12% were good sleepers with no burnout. Furthermore, having poor sleep increased the risk of having burnout by 2.8times. It is crucial that students adopt better sleeping habits to reduce the risk of burnout.ConclusionWith the high prevalence of poor sleep quality and burnout, peer-support groups and peer-led mentorship programs are recommended within this population to help deal with expectations, challenges and difficulties encountered within the course of medical education, in addition to preparing for the early future careers.

A-124 Sleep Quality and Quantity in Individuals Aging with Traumatic Brain Injury: Associations with Psychosocial Outcomes and Health Conditions

2021 ◽  
Vol 36 (6) ◽  
pp. 1174-1174
Author(s):  
Rachael M Riccitello ◽  
Amanda R Rabinowitz ◽  
Umesh M Venkatesan ◽  
Kristine C Dell ◽  
Samantha M Vervoordts ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Brain Injury ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Chronic Health

Abstract Objective To examine the association of sleep quality/duration with chronic health conditions, psychological distress, and quality of life (QOL) in older adults with chronic traumatic brain injury (TBI). Methods 120 older adults (x-age = 64.2 ± 8.3) 1 or more years (med = 9.8, range = 1.1–45.6) post moderate–severe TBI reported on history of chronic health conditions and current sleep duration and quality. Participants were categorized by sleep duration (&lt; 6, 6–8, &gt;8 hours) and whether or not they felt well-rested. Outcome measures were QOL (Quality of Life after Brain Injury questionnaire) and psychological distress (Brief Symptom Inventory-18). Results 65% of individuals reported receiving 6–8 hours of sleep; 78% reported feeling well-rested. 17.5% reported no health conditions, 47.5% one condition, and 35% reported two or more. High blood pressure, high cholesterol, and diabetes were the most common. Number of health conditions was not related to sleep quality χ2(2,N = 120) =0.83, p = 0.66, or quantity, χ2(4,N = 120) =7.4, p = 0.12. MANCOVA controlling for age, chronicity, and injury severity revealed a significant association between poor sleep quality and decreased QOL across multiple life domains, V = 0.30, F(6,105) = 4.6, p &lt; 0.001, ηp2 = 0.21. Sleep duration was also associated with QOL, Λ = 0.80, F(12,208) = 2.1, p &lt; 0.05, ηp2 = 0.108. In ANCOVAs, poor sleep quality was related to increased psychological distress, F(1,110) = 18.3, p &lt; 0.001, ηp2 = 0.142, but sleep duration was not, F(2,109) = 2.2, p = 0.12, ηp2 = 0.038. Conclusion Although most participants received the recommended amount of sleep, poor sleep quality/quantity were associated with poorer QOL and sleep quality was additionally associated with psychological distress. Chronic health conditions were prevalent in the sample, but not related to self-reported sleep quality/duration.

The use of gadgets and their relationship to poor sleep quality and social interaction on mid-adolescents: a cross-sectional study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief
Keyword(s):  
Social Interaction ◽  
Sleep Quality ◽  
Rank Correlation ◽  
Simple Random Sampling ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Social

AbstractBackgroundMid-adolescents dominate the number of gadget users in Indonesia. The use of gadgets to a high intensity can cause various problems such as poor sleep quality and decreased social interaction. The purpose of this study was to analyze the relationship between the intensity of the use of gadgets and the quality of sleep and social interaction in adolescents.MethodThe research design used was a correlational research study with a cross-sectional approach. Through the calculation of the sample, the respondents were 250 adolescents who met the inclusion criteria, namely (1) adolescents aged 15–18 years and (2) teens who owned and used gadgets. The sampling method used simple random sampling by conducting a lottery system in each class. The independent variable was the intensity of using the gadget, while the dependent variable was the quality of sleep and social interaction. Data collection focused on the intensity of gadget use using questionnaires and it was analyzed using the Pittsburgh Sleep Quality Index (PSQI) and the Social Interaction Anxiety Scale (SIAS). The data was analyzed using Spearman’s rank correlation with α = 0.05.ResultsThe results showed that the intensity of gadget use was positively related to poor sleep quality in adolescents (p = <0.001; r = 0.555). The intensity of the use of gadgets was also related to social interaction with a negative direction. The higher the intensity of the use of gadgets, the lower the social interaction in adolescents (p = 0.001; r = –293).ConclusionThe use of gadgets in the mid-adolescent years is related to sleep disorders as regards the latency and duration of sleep. Adolescents are more likely to engage in social interaction and communication through gadgets than face to face.

scholarly journals Factors Associated with Sleep Disorders among Methadone-Maintained Drug Users in Vietnam

2019 ◽  
Vol 16 (22) ◽  
pp. 4315 ◽  
Author(s):  
Tuan Anh Le ◽  
Anh Duc Dang ◽  
An Ha Thi Tran ◽  
Long Hoang Nguyen ◽  
Trang Huyen Thi Nguyen ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Associated Factors ◽  
Drug Users ◽  
Methadone Maintenance ◽  
Poor Sleep ◽  
Linear Regression Models ◽  
Poor Sleep Quality ◽  
Cross Sectional

Sleep quality among heroin-dependent patients receiving methadone maintenance treatment (MMT) is not fully investigated in Vietnam. This study explored the prevalence of poor sleep quality in methadone-maintained patients and associated factors. This cross-sectional included 395 MMT patients at three clinics in Nam Dinh province, Vietnam. The Pittsburgh Sleep Quality Index (PSQI) was employed to measure patients’ sleep quality. Sociodemographic, clinical, behavioral, psychological, and social support characteristics were collected. Multivariate Logistic and Generalized Linear Regression models were applied to identify associated factors. Among 395 patients, 26.6% had poor sleep quality according to the PSQI scale. People having jobs were less likely to have poor sleep quality and lower PSQI scores compared to unemployed patients. Those having spouses had lower PSQI scores than single patients. High depression, anxiety, and stress scores were associated with poor sleep quality and high PSQI scores. A longer duration of MMT increased the likelihood of experiencing poor sleep quality. Patients smoking tobacco daily or concurrently using drugs had lower PSQI scores than those that did not. This study highlights a moderate prevalence of poor sleep quality among Vietnamese MMT patients. Regular evaluation, appropriate psychological management, and social support, as well as the provision of employment opportunities, potentially improve the sleep quality of methadone-maintained patients.

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