scholarly journals POS0159-HPR IMPACT OF SLEEP DISTURBANCES ON ELDERLY PATIENTS WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 292.1-292
Author(s):  
M. Sellami ◽  
O. Hamdi ◽  
S. Miladi ◽  
A. Fazaa ◽  
L. Souabni ◽  
...  

Background:Sleep disturbances have been reported in various rheumatic diseases especially in the elderly. It may be caused by pain and depressive mood. However, reports on the impact of sleep problems in rheumatoid arthritis (RA) activity and functional status were limited.Objectives:To assess sleep quality in elderly patients with RA and its impact on disease activity and functional status.Methods:This cross-sectional study included 70 RA patients aged ≥ 65 years fulfilling the ACR/EULAR criteria. Sociodemographic data were collected. RA activity was assessed with the Disease Activity Score (DAS28) and functional status with the Health Assessment Questionnaire (HAQ). Sleep quality was assessed using Arabic translated versions of two indexes: the Insomnia Severity Index (ISI) and the Pittsburg Sleep Quality Index (PSQI). An ISI score of [8-14], [15-21], and [22-28] determined respectively mild, moderate, and severe insomnia. A PSQI score > 5 determined poor sleep quality. ANOVA test was used to assess the relationship between DAS28 erythrocyte sedimentation rate (ESR), HAQ, and sleep quality indexes.Results:This study included 52 females and 18 males with a mean age of 68.3 ± 25 years [65-81]. Seventy percent of patients were married, 27% were widowed and 2% were divorced. Seventy-one percent of patients were illiterate, 18% had primary education and 11% had secondary education. Eighteen percent of patients were employed whereas 34.7% were retired. A history of depression was noted in 16.5% of patients. The mean duration of RA was 17.4 ± 5.2 years. Eighty-five percent of patients were on conventional synthetic DMARD whereas 15% were treated with biologic treatment. The mean patient’s global assessment of disease activity was 5.2 ± 1.3. The mean tender joint count and mean swollen joint count were 8 ±1.5 and 5 ±1 respectively. The mean DAS28 ESR was 4.7 ±0.9. The mean HAQ was 2.4 ± 0.45. Poor sleep quality was detected in 84% of cases according to the PSQI score. Mild insomnia was detected in 46% of cases, moderate insomnia in 34% of cases, and severe insomnia in 12% of cases. RA activity was higher in patients with poor sleep quality: the mean DAS28 ESR was 5.2 in patients with severe insomnia, 4.82 in moderate insomnia, and 4.13 in mild insomnia; p= 0.00 respectively. The mean ESR was 31.5 mm in patients with severe insomnia, 22.1 mm in moderate insomnia, and 10.6 mm in mild insomnia; p= 0.01 respectively. Furthermore, the higher the PSQI was, the higher DAS28 ESR is (p =0.01). However, no association was found between poor sleep quality and joint count, swollen joint count, CRP, and HAQ.Conclusion:Disease activity was a major contributor to poor sleep quality in elderly patients with RA. Functional status however wasn’t associated with insomnia. Physicians should include sleep in the clinical assessment of RA patients to improve their quality of life.Disclosure of Interests:None declared

2012 ◽  
Vol 39 (9) ◽  
pp. 1807-1813 ◽  
Author(s):  
PERRY M. NICASSIO ◽  
SARAH R. ORMSETH ◽  
MARA K. CUSTODIO ◽  
MICHAEL R. IRWIN ◽  
RICHARD OLMSTEAD ◽  
...  

Objective.To evaluate a multidimensional model testing disease activity, mood disturbance, and poor sleep quality as determinants of fatigue in patients with rheumatoid arthritis (RA).Method.The data of 106 participants were drawn from baseline of a randomized comparative efficacy trial of psychosocial interventions for RA. Sets of reliable and valid measures were used to represent model constructs. Structural equation modeling was used to test the direct effects of disease activity, mood disturbance, and poor sleep quality on fatigue, as well as the indirect effects of disease activity as mediated by mood disturbance and poor sleep quality.Results.The final model fit the data well, and the specified predictors explained 62% of the variance in fatigue. Higher levels of disease activity, mood disturbance, and poor sleep quality had direct effects on fatigue. Disease activity was indirectly related to fatigue through its effects on mood disturbance, which in turn was related to poor sleep quality. Mood disturbance also indirectly influenced fatigue through poor sleep quality.Conclusion.Our findings confirmed the importance of a multidimensional framework in evaluating the contribution of disease activity, mood disturbance, and sleep quality to fatigue in RA using a structural equation approach. Mood disturbance and poor sleep quality played major roles in explaining fatigue along with patient-reported disease activity.


2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Asmaa Jniene ◽  
Leila Errguig ◽  
Abdelkader Jalil El Hangouche ◽  
Hanan Rkain ◽  
Souad Aboudrar ◽  
...  

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.


Author(s):  
Sharmella Roopchand-Martin

Objectives: This study sought to determine the quality of sleep using the Pittsburgh Sleep Quality Index (PSQI), the presence of sleepiness using the Epworth Sleepiness Scale (ESS) and the association between sleep quality and sleepiness in basketball players in Bermuda. Methods: Once ethical approval was granted, players were recruited from the Bermuda Basketball Association League. All participants completed the PSQI and the ESS questionnaires based on their recollection of events as they occurred over the previous 30 days. Their responses were analysed using the IBM SPSS version 19 for Windows. Results: A total of 71 subjects, mean age 24.96 ± 3.19 years, participated in this study. The mean PSQI score was 7.8 ± 4.7 (scores of 5 or more indicate poor sleep quality). Thirty percent of players rated their sleep quality as fairly bad to very bad. The mean sleepiness score was 7.35 ± 4.17 and over 60% of persons surveyed had more than normal levels of sleepiness. There was a significant correlation between sleep quality and sleepiness; 0.61 (p < 0.01), as well as a correlation between age and Global PSQI which had a score of 0.31 (p < 0.01). Conclusion: Basketball players in Bermuda are experiencing less than optimal sleep. Insomnia was among the most popular self-reported cause of sleep disturbances. Further research is required in this population, exploring causal factors for poor sleep quality. Key words: Athletes, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Quality.


Author(s):  
Rulan Yin ◽  
Lin Li ◽  
Lan Xu ◽  
Wenjie Sui ◽  
Mei’e Niu ◽  
...  

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.


Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  

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.


Lupus ◽  
2014 ◽  
Vol 23 (13) ◽  
pp. 1350-1357 ◽  
Author(s):  
L Palagini ◽  
C Tani ◽  
R M Bruno ◽  
A Gemignani ◽  
M Mauri ◽  
...  

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.


Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim

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.


2015 ◽  
Vol 16 (8) ◽  
pp. 917-925 ◽  
Author(s):  
Carolina Diaz-Piedra ◽  
Andres Catena ◽  
Ana I. Sánchez ◽  
Elena Miró ◽  
M. Pilar Martínez ◽  
...  

2020 ◽  
Author(s):  
Lucía Arias-Fernández ◽  
Andrea M Smith-Plaza ◽  
María Barrera-Castillo ◽  
Jessica Prado-Suárez ◽  
Esther Lopez-Garcia ◽  
...  

Abstract Background Sleep disturbances may contribute to physical function impairment among older adults. Objective To examine the associations between sleep quality and duration and impaired physical function among older adults. Methods Cross-sectional study involving 392 non-institutionalized adults aged ≥65 years, who were recruited from primary health care centres in Spain. Sleep quality and duration were assessed with the Pittsburgh Sleep Quality Index (PSQI). The FRAIL scale was used to identify physical frailty, the short physical performance battery to assess lower extremity functional impairment (LEFI) and grip strength was measured using a hand-held dynamometer to assess muscle weakness. Statistical analyses were performed with logistic regression models adjusted for potential confounders. Results Participants with poor sleep quality (PSQI global score ≥10) were more likely to have functional limitations; the odds ratio (95% confidence interval) was 2.90 (1.10–7.64) for physical frailty, 2.73 (1.34–5.58) for LEFI and 2.32 (1.14–4.75) for muscle weakness. Sleep quality components associated with frailty were sleep disturbances, use of sleeping medication and daytime dysfunction. The only quality component associated with LEFI was poor sleep efficiency, while subjective poor sleep quality and daytime dysfunction were linked to muscle weakness. No associations were observed between night-time sleep duration and physical function indicators. Conclusions Poor self-reported sleep quality, but not sleep duration, was associated with an increased frequency of physical frailty, LEFI and muscle weakness. Interventions to improve sleep quality could contribute to healthy ageing.


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