scholarly journals Risk and resiliency factors associated with poor sleep quality in elderly populations

2021 ◽  
Vol 6 (3) ◽  
pp. 64-67
Author(s):  
Rafael De Jesús ◽  
William Fishbein
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Elderly Populations ◽  
Resiliency Factors

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 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.

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

scholarly journals Constructs of poor sleep quality in adolescents: associated factors

2021 ◽  
Vol 37 (8) ◽  
Author(s):  
Lailah Maria Luiza Gonzaga Cavalcanti ◽  
Rodrigo Antunes Lima ◽  
Caroline ramos de Moura Silva ◽  
Mauro Virgilio Gomes de Barros ◽  
Fernanda Cunha Soares
Keyword(s):  
Social Anxiety ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Latency ◽  
Clinical Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Sleep Dysfunction ◽  
Daytime Sleep

This study aims to evaluate factors associated with sleep quality (overall and by domains) in adolescents. A cross-sectional study. This study was conducted with 1,296 first-year high school students from public schools in the Northern Region of the State of Pernambuco, Brazil. Demographic, socioeconomic, and behavioral data were obtained with a questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) Body mass index (BMI) was calculated based on the ratio of weight and height squared. Multilevel linear and logistic regressions evaluated factors associated with sleep quality. We observed 53% of adolescents reported poor sleep quality. Adolescents at higher risk of clinical depression were 3.45 times more likely to have poor sleep quality (95%CI: 2.04; 5.81), and each additional unit in the social anxiety score presented 1.03 (95%CI: 1.01; 1.05) higher odds of adolescents having poor sleep quality. Adolescents with depressive symptoms had higher sleep latency, greater sleep disturbance, and greater daytime sleep dysfunction. Social anxiety was associated with sleep latency, sleep disturbance, and daytime sleep dysfunction. Higher risk of clinical depression was associated with all domains related to sleep quality. Negative health perception was associated with sleep disturbance, and physical inactivity was associated with daytime sleep dysfunction. Social anxiety and especially higher risk of clinical depression were determinants of poor sleep quality. Changes in sleep latency, sleep disturbance and daytime sleep dysfunction seems to be relevant to poor sleep quality.

Sleep quality among youngster in Danang city, Vietnam: A cross-sectional study

2021 ◽  
Vol 05 (02) ◽  
pp. 31-40
Author(s):  
Nguyen Nhat Linh Hoang ◽  
◽  
Vuong Diem Khanh Doan ◽  
Thi Dang Thu Nguyen ◽  
Thi Hong Nhi Nguyen
Keyword(s):  
Sleep Quality ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Factors Associated

Objectives: Sleep is a normal physiological process of the body. Sleep impacts on many aspects of health and quality of life at all ages. There are many risk factors associated with sleep deprivation or poor sleep quality: physical health problems such as diabetes and cardiovascular disease; mental health issues like depression; traffic and occupational accident. The study was conducted with the aims of understanding the sleep quality situation of youngster aged 16-30 years in Da Nang City, Vietnam, and determining the factors related to the sleep quality of the study participants. Methods: A descriptive cross-sectional study was conducted on adolescents living in Da Nang City, Vietnam. The information was collected by using a structured questionnaire. Multivariate logistic regression analysis was used to identify the risk factors associated with the sleep quality among adolescents. Results: The proportion of the adolescents who suffered from poor sleep quality was 31.1%. The results of multivariate logistic regression analysis indicated that there were the relationships between sleep quality and living in Hoa Vang District; occupations were student, worker, or officer; finishing working/studying time after 7 pm; regularly use and dependent on the internet; having stress; having pressure on study/work, overeating before going to bed, rarely or sometimes staying up late, lying postures were laying up, lie on the left side and other postures; hand posture when sleeping. Conclusion: The proportion of adolescents living in Da Nang City with good sleep quality was not high. The government needs to propagandize and mobilize people, especially young people in terms of the impacts of sleep quality on health, thereby improving sleep quality to help young people in good condition, helping the country and defending the country. Keywords: Sleep quality, adolescents, Da Nang City

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