scholarly journals Pre-hospital, in-hospital and post-hospital factors associated with sleep quality among COVID-19 survivors 6 months after hospital discharge: cross-sectional survey in five cities in China

BJPsych Open ◽  
2021 ◽  
Vol 7 (6) ◽  
Author(s):  
Leiwen Fu ◽  
Yuan Fang ◽  
Dan Luo ◽  
Bingyi Wang ◽  
Xin Xiao ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Hospital Stay ◽  
Hospital Discharge ◽  
Stress Disorders ◽  
Current Status ◽  
Poor Sleep ◽  
Post Traumatic Stress ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Factors Associated

Background Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development. Aims This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge. Method Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted. Results Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = −1.15, 95% CI = −1.70, −0.33) or death (adjusted B = −1.55, 95% CI = −2.62, −0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = −0.26, 95% CI = −0.31, −0.20), anxiety symptoms (adjusted B = −0.25, 95% CI = −0.33, −0.17), post-traumatic stress disorders (adjusted B = −0.16, 95% CI = −0.22, −0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10). Conclusions COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 epidemic in China: a web-based cross-sectional survey

2020 ◽  
Author(s):  
Yeen Huang ◽  
Ning Zhao
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Healthcare Workers ◽  
Influence Factors ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Web Based

Abstract Background China has been severely affected by COVID-19 (Corona Virus Disease 2019) since December, 2019. This study aimed to assess the population mental health burden during the epidemic, and to explore the potential influence factors. Methods Using a web-based cross-sectional survey, we collected data from 7,236 self-selected volunteers assessed with demographic information, COVID-19 related knowledge, Generalized Anxiety Disorder-7 (GAD-7), Center for Epidemiology Scale for Depression (CES-D), and Pittsburgh Sleep Quality Index (PSQI). Logistic regressions were used to identify influence factors associated with mental health problem. Results Of the total sample analyzed, the overall prevalence of GAD, depressive symptoms, and sleep quality were 35.1%, 20.1%, and 18.2%, respectively. Young people reported a higher prevalence of GAD and depressive symptoms than older people ( P <0.001). Compared with other occupational group, healthcare workers have the highest rate of poor sleep quality ( P <0.001). Multivariate logistic regression showed that age (< 35 years) and times to focus on the COVID-19 (≥ 3 hours per day) were associated with GAD, and healthcare workers were associated with poor sleep quality. Conclusions Our study identified a major mental health burden of the public during COVID-19 epidemic in China. Young people, people who spent too much time on the epidemic, and healthcare workers were at high risk for mental illness. Continuous surveillance and monitoring of the psychological consequences for outbreaks should become routine as part of preparedness efforts worldwide.

scholarly journals A Series of Case Reports Regarding the Use of Massage Therapy to Improve Sleep Quality in Individuals with Post-Traumatic Stress Disorder (PTSD)

2019 ◽  
Vol 12 (4) ◽  
pp. 3-9
Author(s):  
Bryn Sumpton, BScN ◽  
Amanda Baskwill, PhD, MSc, BEd, RMT
Keyword(s):  
Sleep Quality ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Case Reports ◽  
Massage Therapy ◽  
Poor Sleep ◽  
Post Traumatic Stress ◽  
Poor Sleep Quality ◽  
Post Traumatic

Background: Post-traumatic stress disorder (PTSD) is a common mental health diagnosis in Canada with prevalence estimated at about 2.4% in the general population. Previous studies have suggested massage therapy may be able to reduce the symptoms of PTSD. One of the symptoms commonly experienced is difficulty falling or staying asleep. No previously published massage therapy research has specifically assessed sleep symptoms of PTSD. Objectives: The research question was, “For individuals who have PTSD as a result of experiencing traumatic events, does MT have an effect on sleep quality?”Methods: A prospective series of case reports describing 10-week MT treatment plans provided by Registered Massage Therapists at Sutherland-Chan Clinic’s Belleville location. Three individuals with PTSD were recruited using promotional posters in the community. Treatment focused on improving sleep quality and followed a pragmatic treatment protocol using light to moderate pressure. Out-comes were measured using a sleep diary, Pittsburgh Sleep Quality Index, and the Leeds Sleep Evaluation Questionnaire. Results: Data collected at baseline and throughout the series showed inconsistent improvement and worsening of symptoms amongst participants. Treatment was well tolerated and attended. No harmful incidents were noted. Conclusion: For these participants, MT did not predictably impact sleep quality. It is possible, as the underlying cause of poor sleep quality was unlikely resolved, the participants did not have a significant change in their sleep quality. This differs from findings of previous studies in which MT improved sleep for patients with poor sleep quality due to exposure to traumatic events. There is need for further understanding of how MT affects sleep. 

Prevalence of and factors associated with poor sleep quality and short sleep in a working population in Singapore

Sleep Health ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 277-287 ◽  
Author(s):  
Nanthini Visvalingam ◽  
Thirunavukkarasu Sathish ◽  
Michael Soljak ◽  
Ai-Ping Chua ◽  
Gerard Dunleavy ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Working Population ◽  
Poor Sleep Quality ◽  
Short Sleep ◽  
Factors Associated
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