scholarly journals The relationship between sleep quality, fatigue and psychological wellbeing amongst primary carers for those with brain injury

2018 ◽  
Author(s):  
Maria Gardani
Keyword(s):  
Brain Injury ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Psychological Wellbeing ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Perceived Burden ◽  
Fatigue Severity ◽  
Anxiety Depression

Objectives: The study aimed to investigate possible mediating factors that contribute to poor sleep quality in carers for those with brain injury (BI). More specifically, whether fatigue, anxiety, depression and perceived burden were associated with and/or predicted poor sleep in carers of those with brain injury. Methods: A cross-sectional correlational design was utilised. The Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety Depression Scale (HADS) Fatigue Severity Scale (FSS), Zarit Buren Interview Short (ZBI-12) were completed by 237 carers of people with BI to assess sleep quality, psychological wellbeing and fatigue. Results: Carers demonstrated elevated levels of poor sleep quality, fatigue and poor psychological wellbeing. The results indicated there was a significant relationship between anxiety, depression, perceived burden, fatigue severity and sleep quality. Multiple regression analysis revealed that anxiety, depression, fatigue and burden explained 31.8% of variance in sleep quality. Depression and fatigue were significant predictors of sleep quality with fatigue symptomology being the strongest predictor of poor sleep amongst carers. Conclusion: Psychological wellbeing, perceived burden and fatigue are associated with sleep disturbances in carers with fatigue and depression predicting poor sleep quality. These results provide insight into an under-researched area and emphasise the necessity for support provisions which aim to improve sleep hygiene practices, improve psychological wellbeing and fatigue symptomology.

scholarly journals Psychological disturbances and their association with sleep disturbances in patients admitted for cardiovascular diseases

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244484
Author(s):  
Risa Matsuda ◽  
Takashi Kohno ◽  
Shun Kohsaka ◽  
Yasuyuki Shiraishi ◽  
Yoshinori Katsumata ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Mental Health Problems ◽  
Depression Scale ◽  
University Hospital ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Poor Sleep Quality ◽  
Psychological Disturbances

Background Depression and anxiety are common mental health problems that are strongly associated with sleep disturbances, according to community-based researches. However, this association has not been investigated among patients admitted for cardiovascular diseases (CVDs). We examined the prevalence of depression and anxiety in inpatients with various CVDs and their association with sleep disturbances. Materials and methods This cross-sectional study included 1294 patients hospitalized for CVDs in a Japanese university hospital were evaluated for their mental status using the Hospital Anxiety and Depression Scale (HADS), for sleep-disordered breathing (SDB) using pulse oximetry, and for sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Results Patient characteristics were as below: mean age, 63.9±14.7 years; 25.7% female. Overall, 18.9% had depression (HADS-depression≥8) and 17.1% had anxiety (HADS-anxiety≥8). The presence of depression was associated with female sex, older age, higher plasma brain natriuretic peptide level, lower estimated glomerular filtration rate, and the prevalence of heart failure. Overall, 46.5% patients were categorized as having a poor sleep quality (PSQI>5), and 28.5% patients had SDB (3% oxygen desaturation index>15). Although depression and anxiety were not associated with SDB, they were independently associated with poor sleep quality (OR = 3.09, 95% CI 2.19–4.36; OR = 3.93, 95% CI 2.71–5.69, respectively). Conclusions Depression and anxiety were not uncommon in patients with CVDs. Poor sleep quality could be an important risk factor linked to psychological disturbances.

scholarly journals Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Heba Saadeh ◽  
Maha Saadeh ◽  
Wesam Almobaideen ◽  
Assem Al Refaei ◽  
Nour Shewaikani ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Online Questionnaire ◽  
Cross Sectional

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health.Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively.Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms.Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

scholarly journals Perceived Stress, Hope, and Health Outcomes Among Medical Staff in China During the COVID-19 Pandemic

2021 ◽  
Vol 11 ◽  
Author(s):  
Xin Zhang ◽  
Rong Zou ◽  
Xiaoxing Liao ◽  
Allan B. I. Bernardo ◽  
Hongfei Du ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Health Outcomes ◽  
Perceived Stress ◽  
Medical Staff ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Considerable Proportion ◽  
Poor Sleep ◽  
Front Line ◽  
Anxiety Depression

This study investigated the buffering role of hope between perceived stress and health outcomes among front-line medical staff treating patients with suspected COVID-19 infection in Shenzhen, China. In the cross-sectional study with online questionnaires, medical staff's perceived stress, anxiety, depression, sleep quality, and hope were measured by the 10-item Chinese Perceived Stress Scale, Hospital Anxiety and Depression Scale, the Pittsburgh Sleep Quality Index, and the Locus-of-Hope Scale, respectively. A total of 319 eligible front-line medical staff participated. The prevalence of anxiety (29.70%), depression (28.80%), poor sleep quality (38.90%) indicated that a considerable proportion of medical staff experienced mood and sleep disturbances during the COVID-19 pandemic. Internal locus-of-hope significantly moderated the effects of stress on anxiety, depression, and sleep quality. Moreover, external family locus-of-hope and external peer locus-of-hope significantly moderated the association between perceived stress and depression. The prevalence of symptoms indicates that both mental and physical health outcomes of front-line medical staff deserve more attention. Internal and external locus-of-hope functioned differently as protective factors for medical staffs' health and might be promising targets for intervention.

020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A9-A10
Author(s):  
Sara Mithani ◽  
Jacqueline Leete ◽  
Josephine Pucci ◽  
Viivan Guedes ◽  
Kimbra Kenney ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Sleep Quality ◽  
Military Personnel ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Ptsd Symptoms ◽  
Poor Sleep Quality ◽  
Disturbed Sleep ◽  
Exosomal Microrna

Abstract Introduction Disordered sleep is a critical issue facing the US military due to its negative impact on maintaining force readiness, health, and well-being. Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military service members with TBI report poor sleep quality. Disturbed sleep is a hallmark of post-traumatic stress disorder (PTSD), which often coexists with TBI, with upward of 90% of patients with PTSD reporting some form of sleep disturbance. The pathophysiological mechanisms underlying sleep disturbances in TBI patients remain elusive. Exosomal microRNA (exomiRs), which are implicated in intracellular communication, may provide novel insight into molecular networks related to sleep disturbances in TBI patients. Methods ExomiR was extracted from plasma samples of 108 post-9/11 military personnel, and veterans with a history of mild TBI enrolled in a multicenter prospective longitudinal study. ExomiR profiling analysis was conducted using nCounter Human v3 miRNA Expression Panel with 798 microRNA probes. Sleep quality was assessed using the global score on the Pittsburgh Sleep Quality Index (PSQI), and symptoms of PTSD were measured with the PTSD Checklist for DSM-5 (PCL-5). Generalized linear models and Spearman’s correlations were constructed to analyze the relationship between levels of exomiR and global PSQI score. Results We found 17 exomiR that were significantly (P < 0.05) associated with sleep quality and 11 exomiR significantly associated with PTSD symptoms. Two exomiR, has-miR-1268a and has-miR-139-5p, were significantly associated with both sleep quality and PTSD symptoms. The top three significant exomiR associated with sleep quality were hsa-miR-1250-5p (r = 0.2295, p = 0.0171), hsa-miR-3615(r = 0.2207, p = 0.0229), and hsa-miR-122-5p(r = 0.2069, p = 0.0132). Conclusion Overall, these findings suggest that analysis of exosomal miRNA expression may provide novel insights into the underlying pathobiology of sleep quality in military personnel with mild TBI, independent of PTSD symptoms. Further research is needed to understand the biological underpinnings of poor sleep quality in individuals with TBI and to determine causal links. Support (if any) Intramural Research Program at the NINR, Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135.

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.

A-124 Sleep Quality and Quantity in Individuals Aging with Traumatic Brain Injury: Associations with Psychosocial Outcomes and Health Conditions

2021 ◽  
Vol 36 (6) ◽  
pp. 1174-1174
Author(s):  
Rachael M Riccitello ◽  
Amanda R Rabinowitz ◽  
Umesh M Venkatesan ◽  
Kristine C Dell ◽  
Samantha M Vervoordts ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Brain Injury ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Chronic Health

Abstract Objective To examine the association of sleep quality/duration with chronic health conditions, psychological distress, and quality of life (QOL) in older adults with chronic traumatic brain injury (TBI). Methods 120 older adults (x-age = 64.2 ± 8.3) 1 or more years (med = 9.8, range = 1.1–45.6) post moderate–severe TBI reported on history of chronic health conditions and current sleep duration and quality. Participants were categorized by sleep duration (< 6, 6–8, >8 hours) and whether or not they felt well-rested. Outcome measures were QOL (Quality of Life after Brain Injury questionnaire) and psychological distress (Brief Symptom Inventory-18). Results 65% of individuals reported receiving 6–8 hours of sleep; 78% reported feeling well-rested. 17.5% reported no health conditions, 47.5% one condition, and 35% reported two or more. High blood pressure, high cholesterol, and diabetes were the most common. Number of health conditions was not related to sleep quality χ2(2,N = 120) =0.83, p = 0.66, or quantity, χ2(4,N = 120) =7.4, p = 0.12. MANCOVA controlling for age, chronicity, and injury severity revealed a significant association between poor sleep quality and decreased QOL across multiple life domains, V = 0.30, F(6,105) = 4.6, p < 0.001, ηp2 = 0.21. Sleep duration was also associated with QOL, Λ = 0.80, F(12,208) = 2.1, p < 0.05, ηp2 = 0.108. In ANCOVAs, poor sleep quality was related to increased psychological distress, F(1,110) = 18.3, p < 0.001, ηp2 = 0.142, but sleep duration was not, F(2,109) = 2.2, p = 0.12, ηp2 = 0.038. Conclusion Although most participants received the recommended amount of sleep, poor sleep quality/quantity were associated with poorer QOL and sleep quality was additionally associated with psychological distress. Chronic health conditions were prevalent in the sample, but not related to self-reported sleep quality/duration.

scholarly journals Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Asmaa Jniene ◽  
Leila Errguig ◽  
Abdelkader Jalil El Hangouche ◽  
Hanan Rkain ◽  
Souad Aboudrar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Blue Light ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Light Emitting ◽  
Light Emitting Devices ◽  
The Mean ◽  
Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

scholarly journals The Relationship between Insecure Attachment to Depression: Mediating Role of Sleep and Cognitive Reappraisal

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Yige Liu ◽  
Hongfan Li ◽  
Xiayue Xu ◽  
Yukun Li ◽  
Zhutao Wang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Emotional Disorders ◽  
Cognitive Reappraisal ◽  
Depression Scale ◽  
Attachment Anxiety ◽  
Insecure Attachment ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Close Relationship

Previously, we have shown that neuromodulators are important factors in stress-induced emotional disorders, such as depression, for example, serotonin is the major substance for depression. Many psychological studies have proved that depression is due to insecure attachment. In addition, sleep is a major symptom of depression. Furthermore, serotonin is the substrate for both sleep and depression. To explore the role of sleep in the relationships between insecure attachment and depression, we investigated 755 college students with Close Relationship Inventory, Emotion Regulation Questionnaire, Self-rated Depression Scale, and Pittsburgh Sleep Quality Index. The results showed that (1) insecure attachment positively predicted poor sleep quality; (2) sleep quality partially affected depression, possibly due the same stress neuromodulators such as norepinephrine and cortisol; and (3) cognitive reappraisal moderated the mediating path leading from attachment anxiety to poor sleep quality. These findings highlight the moderating role of cognitive reappraisal in the effects of attachment anxiety on sleep quality and finally on depression. In conclusion, sleep quality links attachment anxiety and emotional disorders.

Poor sleep quality in systemic lupus erythematosus: does it depend on depressive symptoms?

Lupus ◽  
2014 ◽  
Vol 23 (13) ◽  
pp. 1350-1357 ◽  
Author(s):  
L Palagini ◽  
C Tani ◽  
R M Bruno ◽  
A Gemignani ◽  
M Mauri ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Lupus Erythematosus ◽  
Sleep Disturbances ◽  
Control Group ◽  
Poor Sleep ◽  
Systemic Lupus ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

Objectives Sleep disturbances are frequently observed in rheumatic diseases including systemic lupus erythematosus (SLE). This study aimed at evaluating the prevalence of insomnia, poor sleep quality and their determinants in a cohort of SLE patients. Methods Eighty-one consecutive SLE female patients were evaluated in a cross-sectional study. The Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Beck Depression Inventory (BDI) and the Self-rating Anxiety Scale (SAS) were administered. Patients with previous diagnosis of obstructive sleep apnea or restless legs syndrome were excluded. Fifty-three women with hypertension (without SLE) were enrolled as control group (H). Results In the SLE cohort poor sleep quality (65.4% vs 39.6%, p < 0.01) and difficulty in maintaining sleep and/or early morning awakening (65.4% vs 22.6%, p < 0.001), but not insomnia (33.3% vs 22.6%, p = ns), were more prevalent than in H. Depressive symptoms were present in 34.6% of SLE vs 13.2% H patients ( p < 0.001) while state anxiety was more common in H patients (H 35.8% vs SLE 17.3%, p < 0.005). SLE was associated with a 2.5-times higher probability of presenting poor sleep quality in comparison to H (OR 2.5 [CI 1.21–5.16]). After adjusting for confounders, both depressive symptoms (OR 4.4, [1.4–14.3]) and use of immunosuppressive drugs (OR 4.3 [CI 1.3–14.8]) were significantly associated with poor sleep quality in SLE patients. Furthermore, poor sleep quality was not associated either with disease duration or activity. Conclusions In a cohort of SLE women, insomnia and poor sleep quality, especially difficulties in maintaining sleep, were common. Depressive symptoms might be responsible for the higher prevalence of poor sleep quality in SLE.

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.

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