Effect of Psychological and Behavioral Intervention on Depression and Sleep Quality of Depression Patients with Sleep Disorder

2021 ◽  
2018 ◽  
Vol 16 (2) ◽  
Author(s):  
Josyandra Paula de Freitas ◽  
Mariana Pereira Inácio Silvestri ◽  
César Eduardo Fernandes ◽  
Emerson de Oliveira

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.


2020 ◽  
Author(s):  
Dongbo Wang ◽  
Jing-Lei Lian ◽  
Ming-Rui Hua ◽  
Yu-Da Pan ◽  
De-Min Han

Abstract Background: The purpose of the study was to investigate to understand the situation of sleep quality and anxiety among nurses in tertiary hospitals in China, and analyze their influencing factors.Methods: A cross-sectional survey was performed for nurses in Beijing tertiary hospitals including Beijing Tongren hospital, Anzhen Hospital and Beijing Children Hospital. The Pittsburgh Sleep Quality Indes (PSQI) and Zung Self-Rating Anxiety Scale (SAS) were used to measured the sleep quality and anxiety symptoms, respectively. Survey of quality of life in nurses was measured by 36-item Short Form Health Survey (SF-36). Spearman’s correlations analysis and logistic regression analysis was used to understand the influencing factors with sleep disorder, anxiety symptoms and quality of sleep. Quality of life (both PCS and MCS) were affected by influencing factors including marital status, working years, education background, income monthly, working hours, regular diet, physical exercise, sleep disorder, anxiety symptoms, felling of stress, and stress from economic, social, occupational.Results: 643 registered nurses in three tertiary hospitals were surveyed, 517 (80.4%) returned questionnaires were valid for analysis. The average PSQI score was 7.71±3.62, including 372 participants that scores were above 5 (72.0%). The average SAS score was 45.18±9.90,including 157 participants with a SAS score > 50 (30.4%) that had different anxiety symptoms. The nurses’ sleep quality were affected by some factors including income monthly, working hours, regular diet, physical exercise, stress from economic, social, occupational. Education background, income monthly, working hours, regular diet and economic stress, social stress, occupational stress have significantly related to anxiety symptoms. Correlation between sleep disorder and anxiety severity was positive for nurses.Conclusions: The situation of sleep disorder and anxiety symptoms among nurses in tertiary hospitals in China were very serious. The problem has negative effect on physical and mental health in nurses which reminded hospital administrators should take preventive actions. In addition, the results of the study hinted that promotion of health lifestyle, effort-reward balance and providing social support may be significant to decrease the poor sleep quality and anxiety symptoms and increase quality of life in nurses.


Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.


Author(s):  
Omid Rezaei ◽  
Yaser Mokhayeri ◽  
Javad Haroni ◽  
Mahdi Jamshidi Rastani ◽  
Mohammad Sayadnasiri ◽  
...  

AbstractBackgroundLack of sleep and on going sleep disorder can affect family health and interpersonal relationships.ObjectiveThe aim of study was to investigate the association between sleep quality and the probable determinants of quality of life among students of a public health faculty at Shahid Beheshti University of Medical Sciences (SBMU) in the 2015 academic year.MethodsThe data from a cross-sectional study of 275 students that randomly stratified sampling between different classes of college students of a public health faculty of Shahid Beheshti University of Medical Sciences were used in this study. The data were collected using a structured questionnaire consisted of modules on socio-demographic characteristics, the Petersburg Standardized Sleep Quality Questionnaire(PSQL) and the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF). Data analysis was done with descriptive and logistic regression. All analyses were carried out using SPSS software V.19.ResultsA total of 275 students participated in this study. The mean age ± standard deviation (SD) was 22.1 ± 3.6 years. In the univariable model, students that were living in their own homes had the odds of 2.18 times more than the others to have a higher quality of life level [95% confidence interval (CI): 1.07–4.45]. Moreover, sleep disorder was negatively associated with the quality of life [odds ratio (OR) = 0.23; 95% CI: 0.12–0.46].ConclusionThese results will help university administrators and policy makers to identify factors associated with poor sleep and provide approaches to enhance sleep hygiene and relevant knowledge in university students. Living in a dormitoy while also suffering from sleep problems could significantly reduce the quality of life.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guihua Hao ◽  
Qiaojing Qiu ◽  
Lili Hou ◽  
Fen Gu

Background. Symptoms (cough, dyspnea, fatigue, depression, and sleep disorder) in chronic obstructive pulmonary disease (COPD) are related to poor quality of life (QOL). Better understanding of the symptom clusters (SCs) and sleep disorder in COPD patients could help to accelerate the development of symptom-management interventions. Objective. We aim to explore the effect of sleep disorder and symptom clusters on the QOL in patients with COPD. Methods. 223 patients with stable COPD from November 2019 to November 2020 at the Affiliated People’s Hospital of Ningbo University in China were included in this cross-sectional survey. A demographic and clinical characteristics questionnaire, the Revised Memorial Symptom Assessment Scale (RMSAS), the Pittsburgh Sleep Quality Index (PSQI), and the St George Respiratory Questionnaire for COPD (SGRQ-C) were completed by the patients. Exploratory factor analysis was conducted to extract SCs, and logistic regression analysis was performed to analyze the risk factors affecting QOL. Results. Three clusters were extracted: respiratory functional cluster, emotional cluster, and fatigue-sleep cluster. 70.4% of the participants were poor sleepers. Subgroup analysis showed that COPD patients with poor sleep quality were significantly different in QOL, emotional cluster, and fatigue-sleep cluster compared with patients with normal sleep. In multiple regression, sleep quality and respiratory functional cluster were associated with QOL. Conclusion. In patients with stable COPD, three symptom clusters were explored. Symptom clusters correlate with clinical features and negatively affect QOL. Appropriate interventions are expected to inform future approaches to symptom management. Future studies are needed to test interventions that may be effective at improving the QOL of COPD patients.


2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.


2020 ◽  
Author(s):  
Dongbo Wang ◽  
Jing-Lei Lian ◽  
Ming-Rui Hua ◽  
Yu-Da Pan ◽  
De-Min Han

Abstract Background The purpose of the study was to investigate to understand the situation of sleep quality and anxiety among nurses in tertiary hospitals in China, and analyze their influencing factors. Methods A cross-sectional survey was performed for nurses in Beijing tertiary hospitals including Beijing Tongren hospital, Beijing Anzhen Hospital and Beijing Children Hospital. The Pittsburgh Sleep Quality Indes (PSQI) and Zung Self-Rating Anxiety Scale (SAS) were used to measured the sleep quality and anxiety symptoms, respectively. Survey of quality of life in nurses was measured by 36-item Short Form Health Survey (SF-36). Spearman’s correlations analysis and logistic regression analysis was used to understand the influencing factors with sleep disorder, anxiety symptoms and quality of sleep. Quality of life (both PCS and MCS) were affected by influencing factors including marital status, working years, education background, income monthly, working hours, regular diet, physical exercise, sleep disorder, anxiety symptoms, felling of stress, and stress from economic, social, occupational. Results 643 registered nurses in three tertiary hospitals were surveyed, 517 (80.4%) returned questionnaires were valid for analysis. The average PSQI score was 7.71±3.62, including 372 participants that scores were above 5 (72.0%). The average SAS score was 45.18±9.90,including 157 participants with a SAS score > 50 (30.4%) that had different anxiety symptoms. The nurses’ sleep quality were affected by some factors including income monthly, working hours, regular diet, physical exercise, stress from economic, social, occupational. Education background, income monthly, working hours, regular diet and economic stress, social stress, occupational stress have significantly related to anxiety symptoms. Correlation between sleep disorder and anxiety severity was positive for nurses. Conclusions The situation of sleep disorder and anxiety symptoms among nurses in tertiary hospitals in China were very serious. The problem has negative effect on physical and mental health in nurses which remind hospital administrators should take preventive actions. In addition, the results of the study hinted that promotion of health lifestyle, effort-reward balance and providing social support may be significant to decrease the poor sleep quality and anxiety symptoms and increase quality of life in nurses.


Author(s):  
Dr. Firas Rauf Mammoo ◽  
Prof. Dr. S. Girija

Diabetes mellitus is a common metabolic disease. Nowadays, sleep complaints are increasing day by day due to the restriction in bed time resulting in chronic partial sleep loss.(1)Type 2 diabetes mellitus accounts for 95% of all of diagnosed diabetes worldwide. Several studies have recognized sleep disorder as a novel risk factor for diabetes.(2)Sleep disorder plays a vital role in the development of diabetes via various metabolic and neuroendocrine pathways.(3) Nocturia and neuropathic pain were explained as two possible causes of decreased sleep quality.(1) People who have sleep disorder either in the quality or quantity experienced reduced insulin sensitivity, which results in elevated blood glucose that can aggravate the progress of diabetes. There are limited studies from India on the association of sleep quality and diabetes control status. In this study, we aimed to find the quality of sleep in patients with type 2 diabetes mellitus and its correlation with glycaemic control.


2018 ◽  
Vol 1 (2) ◽  
pp. 34-45
Author(s):  
Alice Agustine ◽  
Marta Hendry

ABSTRACT Introduction. Nocturia is lower urinary tract symptoms on benign prostat hyperplasia patients  that made  him asleep at night to urinate. This condition impacted on many level of patient life, which are quality of life, quality of sleep, daytime function, morbidity and mortality and  nocturia has the biggest impact on patient sleep quality. Methods. This is an observational study including 30 patient of benign prostat hyperplasia undergoing transurethral resection of the prostate as research subjects. All patient were assessed using the Pittsburgh sleep quality index and international prostate symptom score at baseline and 2 month after transuretral resection of the prostate Results. A total 23 patients (76,7%) had a sleep disorder as a score of 5 or more on Pittsburgh sleep quality index score. After the transurethral resection of the prostate, pittsburgh sleep quality index score of 12 patient have decreased  (less than 5) and 11 others with persistent sleep disorder. Pittsburgh sleep quality index significantly decreased after transurethral resection of the prostate from ±9,36 to ±5,03 (p-value 0,000). Nocturia also significantly decreased after transuretral resection of the prostate from ±3,46 to ±2,40 (P value 0,003). Lower urinary track symptoms in this patient also getting better after surgery. The international prostat symtoms score decreased after transurethral resection of the prostat from ±21,80 to ±7,67 with P value 0,000 Conclusion. Transuretral resection of prostate improves sleep quality dan decreased lower urinary track symptoms in benign prostate hypertrophy patients.


2021 ◽  
pp. 1-19
Author(s):  
Yee Woon Tang ◽  
Siew Li Teoh ◽  
Julie Hsiao Hui Yeo ◽  
Chin Fang Ngim ◽  
Nai Ming Lai ◽  
...  

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