scholarly journals 1140 Sleep Disturbances, Lifestyle, And Self-Management In Adults With Subarachnoid Hemorrhage

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A434-A434
Author(s):  
E Byun ◽  
S McCurry ◽  
S Kwon ◽  
B Kim ◽  
H Thompson
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Sleep Disturbances ◽  
Management Practices ◽  
Self Management ◽  
Poor Sleep ◽  
Nursing Research ◽  
Poor Sleep Quality ◽  
Sleep Management

Abstract Introduction Subarachnoid hemorrhage (SAH) survivors often suffer sleep disturbances. Self-management strategies focusing on lifestyle changes and health-promoting behaviors may improve sleep in SAH survivors. Few studies have examined sleep in SAH survivors, and little is known about sleep management practices used to improve their sleep. The purposes of this study were to: 1) describe the prevalence of sleep disturbances using subjective and objective sleep measures, and 2) explore interest in and engagement with self-management practices to promote sleep health in SAH survivors. Methods We conducted a cross-sectional study with a convenience sample of 30 SAH survivors recruited from a university hospital. We assessed sleep quality using the Pittsburgh Sleep Quality Index (PSQI), daytime sleepiness using the Epworth Sleepiness Scale (ESS), and objective sleep using wrist actigraphy. We conducted content analysis of semi-structured interviews, with two authors each coding sleep disturbances and self-management practices addressing sleep. Results Seventy-three percent of SAH survivors reported poor sleep quality (PSQI > 5) and 27% had daytime sleepiness (ESS > 10). Actigraphy analysis indicated that 41% of SAH survivors slept less than 7 hours or more than 9 hours. Interview content analyses suggested 3 themes and 15 sub-categories: 1) Sleep disturbances (difficulties in falling asleep, wake after sleep onset, daytime sleepiness, too much or insufficient sleep, and poor sleep quality), 2) Sleep management practices (exercise, regular sleep schedule, relaxation, keeping busy and staying active, changing beverage intake, taking supplements, taking medication, recharging energy, and barriers to sleep management), and 3) Healthcare providers (discussing sleep problems with health care providers). Conclusion Sleep disturbances are highly prevalent and an urgent need exists to focus on improving sleep in SAH survivors. Developing tailored interventions that incorporate self-management and lifestyle change would be a critical next step to improve sleep and promote health in this at-risk population. Support This research was supported by grants from the National Institutes of Health/National Institute of Nursing Research (K23 NR017404), University of Washington Institute of Translational Health Science Translational Research Scholars Program (UL1 TR000423), and University of Washington School of Nursing Research and Intramural Funding Program.

Sleep Disturbance and Self-management in Adults With Subarachnoid Hemorrhage: A Qualitative Study

2021 ◽  
pp. 105477382110640
Author(s):  
Eeeseung Byun ◽  
Susan M. McCurry ◽  
Boeun Kim ◽  
Suyoung Kwon ◽  
Hilaire J. Thompson
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Qualitative Study ◽  
Sleep Disturbances ◽  
Management Practices ◽  
Healthcare Providers ◽  
Self Management ◽  
Sleep Health ◽  
Convenience Sample ◽  
Falling Asleep ◽  
Sleep Management

Subarachnoid hemorrhage (SAH) survivors often experience sleep disturbances. Little is known about sleep-management practices used to improve their sleep. The purpose of this qualitative study was to explore interest in and engagement with self-management practices to promote sleep health in SAH survivors. We conducted a cross-sectional qualitative study using semi-structured interviews with a convenience sample of 30 SAH survivors recruited from a university hospital. We conducted content analysis of interview transcripts. Three themes and 15 subcategories were identified: (1) sleep disturbances (difficulties falling asleep, wake after sleep onset, daytime sleepiness, too much or insufficient sleep, and poor sleep quality); (2) sleep-management practices (exercise, regular sleep schedule, relaxation, keeping busy and staying active, changing beverage intake, taking supplements, taking medications, recharging energy, and barriers to sleep management); and (3) consulting with healthcare providers (discussing sleep problems with healthcare providers). Self-management strategies focusing on health-promoting behaviors may improve SAH survivors’ sleep health.

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.

Restless leg syndrome in adult patients with β-thalassemia major

2021 ◽  
Vol 74 (7-8) ◽  
pp. 266-272
Author(s):  
Ramazan Erdem ◽  
Nazan Şimşek Erdem ◽  
Erdal Kurtoğlu
Keyword(s):  
Sleep Quality ◽  
Restless Legs Syndrome ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Thalassemia Major ◽  
Adult Patients ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Restless Legs

To investigate the quality of sleep and the presence of Restless Legs Syndrome (RLS) in the Turkish population with β-thalassemia major (TM). The second aim was to assess the risk factors of RLS in TM adults. The study sample comprised of 121 patients at least 18 years old with TM. The patients’ socio-demographic information, body mass indexes (BMI), current medications, laboratory data were recorded. The patients were asked if they had a history of chronic kidney disease, diabetes mellitus (DM), and polyneuropathy. Restless legs syndrome was diagnosed according to the International Restless Legs Syndrome Study Group criteria. The sleep quality of the patients was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. The Epworth Sleepiness Scale (ESS) was used to assess excessive daytime sleepiness in the patients. The median age of the patients was 25 years (range 18-52). The mean BMI was 21.49±2.5 (R 14-26.5) for all patients. The prevalence of RLS was 5% in TM adult patients. The TM patients with RLS had no major complications of TM. The median PSQI global score of all patients was 3. Twenty-two (18.1%) patients had poor sleep quality. The reason for poor sleep quality was RLS symptoms in four patients (18%). There was no significant association between PSQI total score and blood parameters of the patients. Twelve (9.9%) patients had ESS scores greater than 10, which indicates excessive daytime sleepiness. The prevalence of RLS in TM patients was similar to that of the general Turkish adult population. These results indicate that RLS may occur in patients with TM, although they had a high level of serum ferritin.

Parents of children referred to a sleep laboratory for disordered breathing reported anxiety, daytime sleepiness and poor sleep quality

2018 ◽  
Vol 107 (7) ◽  
pp. 1253-1261 ◽  
Author(s):  
Marion Cadart ◽  
Livio De Sanctis ◽  
Sonia Khirani ◽  
Alessandro Amaddeo ◽  
Lisa Ouss ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Poor Sleep ◽  
Sleep Laboratory ◽  
Poor Sleep Quality ◽  
Disordered Breathing

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 Poor Sleep Quality Experience and Self-Management Strategies in Fibromyalgia: A Qualitative Metasynthesis

2020 ◽  
Vol 9 (12) ◽  
pp. 4000
Author(s):  
Carolina Climent-Sanz ◽  
Genís Morera-Amenós ◽  
Filip Bellon ◽  
Roland Pastells-Peiró ◽  
Joan Blanco-Blanco ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Management Strategies ◽  
Self Management ◽  
Poor Sleep ◽  
General Health Status ◽  
Poor Sleep Quality ◽  
Beneficial Effects ◽  
Comprehensive Search ◽  
Sleepless Night ◽  
Prevalent Symptom

Poor sleep quality is a major concern and a highly prevalent symptom in fibromyalgia. We aimed to develop a metasynthesis of qualitative studies to assess how people diagnosed with fibromyalgia experience and manage poor sleep quality following the concepts of the Symptom Management Theory. The principles of metasynthesis established by Sandelowski and Barroso were utilized. A pre-planned comprehensive search was implemented in PubMed, Scopus, ISI WebofScience, and Cinahl Plus databases. The methodological quality was assessed following the CASP Qualitative Checklist. The findings of the studies were subjected to a metasummary and a metasynthesis. Seventeen studies were included in the metasynthesis. Two overarching themes were pre-established: (1) experience of poor sleep quality in Fibromyalgia and (2) poor sleep quality management strategies in Fibromyalgia. Four sub-themes emerged from the results: (1) evaluation of poor sleep quality, (2) response to poor sleep quality, (3) management strategies to favor sleep, and (4) managing the consequences of a sleepless night. Poor sleep quality is a severe and disabling symptom that negatively impacts the general health status of people diagnosed with FM. Prescribed treatments are commonly seen as ineffective and self-management strategies are a last resort and do not show beneficial effects.

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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