Relationship of Hemodialysis Shift With Sleep Quality and Depression in Hemodialysis Patients

2017 ◽  
Vol 28 (3) ◽  
pp. 356-373 ◽  
Author(s):  
Masomeh Norozi Firoz ◽  
Vida Shafipour ◽  
Hedayat Jafari ◽  
Seyed Hamzeh Hosseini ◽  
Jamshid Yazdani - Charati
Keyword(s):  
Sleep Quality ◽  
Rural Areas ◽  
Pittsburgh Sleep Quality Index ◽  
Female Gender ◽  
Hemodialysis Patients ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Relationship Of ◽  
The Relationship ◽  
Phosphorus Levels

This descriptive correlational study was aimed at determining the relationship of hemodialysis shift with sleep quality and depression in 310 hemodialysis patients. Demographic and Clinical Questionnaires, the Pittsburgh sleep quality index, and Beck’s Depression Inventory were used to ascertain the aforementioned relationship. Among the patients, 59.6% reported poor sleep quality and 44.8% reported experiencing depression. Results show that these conditions were significantly related to many factors. Although dialysis shift was not significantly related to sleep quality and depression, sleep quality was found significantly associated with age, female gender, illiteracy, unemployment, residence in rural areas, diabetes, addiction to sedatives, and phosphorus levels. A significant relationship was also found between depression and phosphorus levels. Logistic regression predicted age, gender, illiteracy, unemployment, residence in rural areas, and addiction to sedatives as factors for poor sleep quality. A body mass index (BMI) above 30, decreased urea, and increased phosphorus were predicted as factors for increased depression.

The relationship between sleep quality and fibromyalgia symptoms

2018 ◽  
Vol 25 (9) ◽  
pp. 1176-1186 ◽  
Author(s):  
Alexandro Andrade ◽  
Guilherme Torres Vilarino ◽  
Sofia Mendes Sieczkowska ◽  
Danilo Reis Coimbra ◽  
Guilherme Guimarães Bevilacqua ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Memory Failure ◽  
D 74 ◽  
The Relationship

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.

scholarly journals The relationship between shift work and sleep patterns in nurses

2013 ◽  
Vol 18 (3) ◽  
pp. 763-768 ◽  
Author(s):  
Milva Maria Figueiredo De Martino ◽  
Ana Cristina Basto Abreu ◽  
Manuel Fernando dos Santos Barbosa ◽  
João Eduardo Marques Teixeira
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Work Habits ◽  
Significant Difference ◽  
Nighttime Sleep ◽  
The Relationship

The scope of this study was to evaluate the sleep/wake cycle in shift work nurses, as well as their sleep quality and chronotype. The sleep/wake cycle was evaluated by keeping a sleep diary for a total of 60 nurses with a mean age of 31.76 years. The Horne & Östberg Questionnaire (1976) for the chronotype and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality were applied. The results revealed a predominance of indifferent chronotypes (65.0%), followed by moderately evening persons (18.3%), decidedly evening persons (8.3%), moderately morning persons (6.6%) and decidedly morning persons (1.8%). The sleep quality perception was analyzed by the visual analogical scale, showing a mean score of 5.85 points for nighttime sleep and 4.70 points for daytime sleep, which represented a statistically significant difference. The sleep/wake schedule was also statistically different when considering weekdays and weekends. The PSQI showed a mean of 7.0 points, characterizing poor sleep quality. The results showed poor sleep quality in shift work nurses, possibly due to the lack of sport and shift work habits.

scholarly journals The relationship between fatigability and sleep quality in people with multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Performance Test ◽  
Pittsburgh Sleep Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.

scholarly journals Association of self-reported sleep duration and quality with BaPWV levels in hypertensive patients

2020 ◽  
Vol 43 (12) ◽  
pp. 1392-1402
Author(s):  
Huan Hu ◽  
Huan Li ◽  
Xiao Huang ◽  
Huihui Bao ◽  
Yun Song ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Sectional Analysis ◽  
Relationship Of ◽  
The Relationship

AbstractThe association between sleep conditions and arterial stiffness remains inconclusive. We aimed to investigate the relationship of sleep duration and quality with brachial-ankle pulse-wave velocity (baPWV) in hypertensive patients. A total of 14,485 hypertensive adults were included in this cross-sectional analysis. Information about sleep duration and quality was obtained via questionnaire. A baPWV level ≥1800 cm/s was defined as indicative of arterial stiffness. Compared with participants with a sleep duration <8 h per day, participants with a sleep duration ≥8 h per day had a significantly higher baPWV level (β = 13.7 cm/s; 95% CI: 3.9, 23.5) and a nonsignificantly higher prevalence of arterial stiffness (39.7% vs. 33.0%; OR, 1.08; 95% CI: 0.99–1.19). Similarly, compared with participants with good or medium sleep quality, participants with poor sleep quality had a significantly higher baPWV level (β = 16.3 cm/s; 95% CI: 0.1, 32.6) and a nonsignificantly greater prevalence of arterial stiffness (36.6% vs. 35.3%; OR, 1.13; 95% CI: 0.97–1.32). When sleep duration and quality were examined jointly, participants with a sleep duration ≥8 h and/or poor sleep quality had a significantly higher baPWV level (β = 14.4 cm/s; 95% CI: 5.3, 23.4) and a greater prevalence of arterial stiffness (38.8% vs. 32.7%; OR, 1.10; 95% CI: 1.01–1.20) than those with a sleep duration <8 h and good/medium sleep quality. In summary, among hypertensive patients, a longer sleep duration (≥8 h per day) and poor sleep quality were associated with higher baPWV levels and a higher prevalence of arterial stiffness.

scholarly journals The Effect of Sleep Quality on Mental Health Among Clinical and Non-Clinical Staffs

2021 ◽  
Author(s):  
Hadis Najafimehr ◽  
Hamid Soori ◽  
Narges Naghavi ◽  
Reyhaneh Sadat Jafarian Bahri ◽  
Mohammad Taghi Yasami
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Demographic Variables ◽  
Poor Sleep ◽  
Medical Sciences ◽  
Working Population ◽  
Poor Sleep Quality ◽  
Factors Affecting ◽  
The Relationship

Sleep quality plays an important role in people's mental health. Until now, the comparison of factors affecting mental health among clinical and non-clinical workers has received less attention. This study aimed to investigate the relationship between sleep quality and mental health and factors affecting mental health in a large working population. The present study was derived from the first phase of a cohort study of Shahid Beheshti University of Medical Sciences staff in 2019. Participants included 2921 employees. Demographic variables and job characteristics, the Pittsburgh Sleep Quality Index (PSQI) and General Health Questionnaire28 (GHQ-28) were used for data collection. For finding factors affecting mental health, logistic regression was used. Clinical workers had lower mental health (P<0.001) and lower sleep quality (P=0.04) than others. The relationship between mental health and sleep quality was significant (P<0.001). The prevalence of poor sleep quality was 35.6% and for undesirable mental health was 27.8%. Marital status had a significant relationship with mental health (P=0.02). The chance of undesirable mental health decreased with age (OR: 0.98 (0.97, 0.99)). Women had twice undesirable mental health than men (OR: 1.99 (1.62, 2.50)). The odds of undesirable mental health in staff with poor sleep quality were about five times higher than others (OR: 4.80 (3.99, 5.76)). Sleep quality may be considered as a factor affecting mental health. Due to the importance of the issue, planning for the improvement of clinical workers' sleep quality seems to be necessary by health policymakers.

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 Relationship Between Sleep–Wake Disturbance and Risk of Malnutrition in Hospitalized Patients With Cirrhosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Yangyang Hui ◽  
Xiaoyu Wang ◽  
Zihan Yu ◽  
Hongjuan Feng ◽  
Chaoqun Li ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Adverse Outcomes ◽  
Nutritional Risk ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Entire Cohort ◽  
Related Quality ◽  
Male Patients ◽  
End Stage ◽  
The Relationship

Both sleep–wake disturbance and malnutrition are common in cirrhosis and might be associated with similar adverse outcomes, such as impaired health-related quality of life, hepatic encephalopathy, and sarcopenia, but there is no study investigating the relationship between these two. We aimed to explore the relationship between sleep–wake disturbance [estimated by the Pittsburgh Sleep Quality Index (PSQI)] and malnutrition risk [estimated by the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT)]. About 150 patients with cirrhosis were prospectively recruited. The nutritional risk is classified as low (0 points), moderate (1 point), and high (2–7 points) according to the RFH-NPT score. A global PSQI &gt;5 indicated poor sleepers. Furthermore, multivariate linear regression analyses were performed to determine the relationship between sleep–wake disturbance and malnutrition. The median PSQI was seven, and RFH-NPT was two in the entire cohort, with 60.67 and 56.67% rated as poor sleep quality and high malnutrition risk, respectively. Patients with cirrhosis with poor sleep quality had significantly higher RFH-NPT score (3 vs. 1, P = 0.007). Our multivariate analyses indicated that male patients (β = 0.279, P &lt; 0.001), ascites (β = 0.210, P = 0.016), and PSQI (β = 0.262, P = 0.001) were independent predictors of malnutrition. In addition, the differences regarding PSQI score were more significant in male patients, as well as those &gt;65 years or with Child-Turcotte-Pugh class A/B (CTP-A/B) or the median model for end-stage liver disease (MELD) &lt;15. Taken together, the sleep–wake disturbance is strongly correlated with high malnutrition risk in patients with cirrhosis. Given sleep–wake disturbance is remediable, it is tempting to incorporate therapies to reverse poor sleep quality for improving nutritional status in patients with cirrhosis.

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

scholarly journals The relationship between sleep hygiene and sleep quality among residents of an elderly care institution in DKI Jakarta

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Elderly Care ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
The Relationship ◽  
Purposive Sample

<p class="AbstractContent"><strong>Objective:</strong> Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.</p><p class="AbstractContent"><strong>Methods: </strong>This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).</p><p class="AbstractContent"><strong>Results:</strong> Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality

scholarly journals Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Self Control ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Affects ◽  
The Relationship ◽  
Positive And Negative Affects

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.

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