scholarly journals Sleep disturbances in obsessive-compulsive disorder: influence of depression symptoms and trait anxiety

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cinto Segalàs ◽  
Javier Labad ◽  
Neus Salvat-Pujol ◽  
Eva Real ◽  
Pino Alonso ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Trait Anxiety ◽  
Sleep Disturbances ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Severity Of Depression ◽  
The Relationship

Abstract Background Sleep disturbances have been reported in obsessive-compulsive disorder (OCD) patients, with heterogeneous results. The aim of our study was to assess sleep function in OCD and to investigate the relationship between sleep and the severity of obsessive-compulsive (OC) symptoms, depressive symptoms and trait anxiety. Methods Sleep quality was measured in 61 OCD patients and 100 healthy controls (HCs) using the Pittsburgh Sleep Quality Index (PSQI). Multiple linear regression was conducted to explore the association between sleep and psychopathological measures; a mediation analysis was also performed. Results OCD patients showed poor sleep quality and more sleep disturbances compared to HCs. The severity of depression, trait anxiety and OC symptomatology were correlated with poor sleep quality. Multiple linear regression analyses controlling for potential confounders revealed that the severity of depression and trait anxiety were independently related to poor sleep quality in OCD. A mediation analysis showed that both the severity of trait anxiety and depression mediate the relationship between the severity of OC symptoms and poor sleep quality among patients with OCD. Conclusions Our findings support the existence of sleep disturbances in OCD. Trait anxiety and depression play a key role in sleep quality among OCD patients.

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 Eveningness is associated with poor sleep quality and negative affect in obsessive–compulsive disorder

2018 ◽  
Vol 7 (1) ◽  
pp. 10-20 ◽  
Author(s):  
Péter Simor ◽  
András Harsányi ◽  
Kata Csigó ◽  
Gergely Miklós ◽  
Alpár Sándor Lázár ◽  
...  
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Obsessive Compulsive Disorder ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

AN INVESTIGATION OF THE RELATIONSHIP BETWEEN RESPONSIBILITY AND ATTENTION DEFICITS CHARACTERISTIC OF OBSESSIVE-COMPULSIVE PHENOMENA

2002 ◽  
Vol 30 (4) ◽  
pp. 399-414 ◽  
Author(s):  
Jessica Pleva ◽  
Tracey D. Wade
Keyword(s):  
Selective Attention ◽  
Trait Anxiety ◽  
Attitude Scale ◽  
Visual Selective Attention ◽  
Attention Deficits ◽  
Anxiety And Depression ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
The Relationship ◽  
Test Of Everyday Attention

Attention deficits and inflated perceptions of responsibility have been identified as characteristics of people with obsessive-compulsive disorder (OCD). The present study examined the relative importance of responsibility and attention in predicting non-clinical levels of obsessionality. Three hundred Australian university students were screened using the Maudsley Obsessional-Compulsive Inventory (MOCI), and students who scored in the top and bottom 10% of the distribution were selected for participation. The selected participants completed the Responsibility Attitude Scale (RAS) and the Test of Everyday Attention (TEA), along with measures of trait-anxiety and depression. High MOCI scorers exhibited a greater perception of responsibility, and poorer overall attention than low MOCI scorers. These differences remained significant after controlling for trait-anxiety and depression. Logistic regression analyses revealed that responsibility was a stronger predictor of non-clinical obsessionality than was attention. Moreover, attention did not make a significant contribution to the prediction of obsessionality once responsibility had been controlled. Correlations between responsibility and TEA visual selective attention subtests remained significant after controlling for obsessionality. These findings suggest that measures of attention (particularly measures of visual selective attention) may be confounded by responsibility attitudes, thus highlighting the importance of controlling for meta-cognitive variables such as responsibility when investigating attention in OCD.

scholarly journals The Effect of Caffeinated Beverages on Sleep Quality in College Students

2018 ◽  
Vol 8 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Sarah M. AlSharif ◽  
Marwah S. Al-Qathmi ◽  
Wejdan M. Baabdullah ◽  
Talah A. Alhrkan ◽  
Yara A. Fayoumi ◽  
...  
Keyword(s):  
College Students ◽  
Saudi Arabia ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Cross Sectional Study ◽  
Caffeine Intake ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Relationship

Objectives: Poor sleep quality is considered a global health problem. Considering that caffeine intake contributes to sleep disturbances, we evaluated the relationship between sleep quality and the consumption of caffeinated beverages in college students in Jeddah, Kingdom of Saudi Arabia. Methods: This was a cross-sectional study conducted with college students aged 18 to 25 years old from both governmental and private colleges in Jeddah, Saudi Arabia. Sleep quality, caffeine intake, and stress exposure were assessed using three validated electronic questionnaires. Results: A total of 476 college students completed the questionnaire. Sleep quality was found to be poor in 80.7% of students. The prevalence of caffeine intake was as follows: none = 8%, a tolerable amount = 40.5%, and excessive = 51.5%. Of the students who reported excessive caffeine intake, 83.3% had poor sleep quality. The relationship between excessive caffeine intake and poor sleep quality was significant (p = 0.003). Conclusions: The majority of students had poor sleep quality, and this was correlated with excessive caffeine intake. Our results highlight the importance of raising awareness among students about the factors that may affect sleep quality.

scholarly journals Self-report sleep quality combined with sleep time variability distinguishes differences in fatigue, anxiety, and depression in individuals with multiple sclerosis: A secondary analysis

2018 ◽  
Vol 4 (4) ◽  
pp. 205521731881592 ◽  
Author(s):  
Catherine F Siengsukon ◽  
Mohammed Alshehri ◽  
Mayis Aldughmi
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Secondary Analysis ◽  
Sleep Time ◽  
Anxiety And Depression ◽  
Time Variability ◽  
Poor Sleep ◽  
Poor Sleep Quality

Background Nearly 70% of individuals with multiple sclerosis report sleep disturbances or poor sleep quality. Sleep disturbances may exacerbate or complicate the management of multiple sclerosis-related symptoms. While sleep variability has been associated with several health outcomes, it is unclear how sleep variability is associated with multiple sclerosis-related symptoms. Objective The purpose of this study was to determine how total sleep time variability combined with self-reported sleep quality is associated with fatigue, depression, and anxiety in individuals with multiple sclerosis. Methods This study involved a secondary analysis of actigraphy data and questionnaires to assess sleep quality, fatigue, anxiety, and depression. Results There were significant differences between the Good Sleepers (good sleep quality/low sleep time variability; n=14) and Bad Sleepers (poor sleep quality/high sleep time variability; n=23) in overall fatigue ( p=0.003), cognitive ( p=0.002) and psychosocial fatigue ( p=0.01) subscales, and in trait anxiety ( p=0.007). There were significant differences in state ( p=0.004) and trait ( p=0.001) anxiety and depression ( p=0.002) between the Good Sleepers and Poor Reported Sleepers (poor sleep quality/low sleep time variability; n=24). Conclusion These results indicate different factors are associated with poor sleep quality in individuals with low versus high total sleep time variability. Considering the factors that are associated with sleep quality and variability may allow for better tailoring of interventions aimed at improving sleep issues or comorbid conditions.

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

scholarly journals Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Rulan Yin ◽  
Lin Li ◽  
Lan Xu ◽  
Wenjie Sui ◽  
Mei’e Niu ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Sleep Quality ◽  
Lupus Erythematosus ◽  
Sleep Disturbances ◽  
Cochrane Library ◽  
Poor Sleep ◽  
Moderate Correlation ◽  
Systemic Lupus ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

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 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

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