Decreased sleep quality in Parkinson’s patients is associated with higher anxiety and depression prevalence and severity, and correlates with pain intensity and quality

2018 ◽  
pp. 1-6 ◽  
Author(s):  
Abdul Qayyum Rana ◽  
Abdul Rehman M. Qureshi ◽  
Yazan Shamli Oghli ◽  
Yosuf Saqib ◽  
Bilal Mohammed ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pain Intensity ◽  
Anxiety And Depression ◽  
Depression Prevalence

The association between sleep quality, preoperative risk factors for chronic postoperative pain and postoperative pain intensity 12 months after knee and hip arthroplasty

2021 ◽  
Vol 15 (4) ◽  
pp. 484-494
Author(s):  
Dennis Boye Larsen ◽  
Mogens Laursen ◽  
Ole Simonsen ◽  
Lars Arendt-Nielsen ◽  
Kristian Kjær Petersen
Keyword(s):  
Postoperative Pain ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Pain Catastrophizing ◽  
Depression Scale ◽  
Hip Osteoarthritis ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Chronic Postoperative Pain ◽  
Preoperative Pain

Background: Chronic postoperative pain following total joint replacement (TJA) is a substantial clinical problem, and poor sleep may affect predictive factors for postoperative pain, such as pain catastrophizing. However, the magnitude of these associations is currently unknown. This exploratory study investigated (1) the relationship between preoperative sleep quality, clinical pain intensity, pain catastrophizing, anxiety, and depression and (2) their associations with chronic postoperative pain following TJA. Methods: This secondary analysis from a larger randomized controlled trial included rest pain intensity (preoperative and 12 months postoperative; visual analogue scale, VAS), preoperative Pittsburgh Sleep Quality Index (PSQI), Pain Catastrophizing Scale (PCS), Hospital Anxiety and Depression Scale (HADS) data from 74 knee and 89 hip osteoarthritis (OA) patients scheduled for TJA. Poor sleepers were identified based on preoperative PSQI scores higher than 5. Results: Poor sleepers demonstrated higher preoperative VAS, pain catastrophizing, anxiety, and depression compared with good sleepers (all p < 0.003). Preoperative PSQI (β = 0.23, p = 0.006), PCS (β = 0.44, p < 0.005), and anxiety (β = 0.18, p = 0.036) were independent factors for preoperative VAS. Preoperative VAS (β = 0.32, p < 0.005), but not preoperative sleep quality (β = −0.06, p = 0.5), was an independent factor for postoperative VAS. Conclusion: The OA patients reporting poor preoperative sleep quality show higher preoperative pain, pain catastrophizing, anxiety, and depression. High preoperative pain intensity, but not poor sleep quality, was associated with higher chronic postoperative pain intensity. Future studies are encouraged to explore associations between sleep and chronic postoperative pain.

scholarly journals Sleep Quality in Chronic Pain Patients

2002 ◽  
Vol 47 (9) ◽  
pp. 844-848 ◽  
Author(s):  
Kemal Sayar ◽  
Meltem Arikan ◽  
Tulin Yontem
Keyword(s):  
Chronic Pain ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Control Subjects ◽  
Chronic Pain Patients ◽  
Healthy Control ◽  
Pain Patients

Objective: Chronic pain patients have been reported to complain about poor sleep quality. Research aimed at delineating the predictors of poor sleep has produced conflicting results. Depressive mood and pain severity are the most frequently encountered predictors. This study aimed to find out whether chronic pain patients differed from healthy control subjects who had no pain on subjective sleep quality measures and, if so, which factors contributed most to poorer sleep quality. Method: We compared 40 patients with chronic pain who met inclusion criteria with 40 healthy control subjects on the measures of sleep quality, anxiety, and depression. The predictors of sleep quality were investigated with multiple regression in the pain group. Results: Chronic pain patients had higher scores than did healthy control subjects on the Beck Anxiety Scale, the Beck Depression Inventory (BDI), and the Pittsburgh Sleep Quality Index (PSQI). At the bivariate level, pain intensity, anxiety, and depression correlated significantly with poorer sleep quality. At the multivariate level, depression was found to be the only significant factor correlating with the quality of sleep, and the model explained 34% of the variance. Conclusions: Chronic pain patients suffer from poor sleep quality—a function of depressed mood rather than pain intensity, duration, or anxiety. However, it is difficult to draw a causal relation in this relatively small sample size. Besides, our study sample comprised a mostly psychiatric population and may not represent the general group of patients with chronic pain.

Sleep disturbance in patients attending specialized chronic pain clinics in Denmark: a longitudinal study examining the relationship between sleep and pain outcomes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Henrik Bjarke Vaegter ◽  
Mette Terp Høybye ◽  
Frederik Hjorth Bergen ◽  
Christine E. Parsons
Keyword(s):  
Quality Of Life ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Sleep Disturbances ◽  
Pain Disability ◽  
Pain Clinics ◽  
Pain Outcomes

Abstract Objectives Sleep disturbances are highly prevalent in patients with chronic pain. However, the majority of studies to date examining sleep disturbances in patients with chronic pain have been population-based cross-sectional studies. The aims of this study were to 1) examine the frequency of sleep disturbances in patients referred to two interdisciplinary chronic pain clinics in Denmark, 2) explore associations between sleep disturbances and pain intensity, disability and quality of life at baseline and follow-up, and 3) explore whether changes in sleep quality mediated the relationships between pain outcomes at baseline and pain outcomes at follow-up. Methods We carried out a longitudinal observational study, examining patients enrolled in two chronic pain clinics assessed at baseline (n=2,531) and post-treatment follow-up (n=657). Patients reported on their sleep disturbances using the sleep quality subscale of the Karolinska Sleep Questionnaire (KSQ), their pain intensity using 0–10 numerical rating scales, their pain-related disability using the Pain Disability Index (PDI), and quality of life using the EuroQol-VAS scale. The average time between baseline and follow-up was 207 days (SD=154). Results At baseline, the majority of patients reported frequent sleep disturbances. We found a significant association at baseline between self-reported sleep disturbances and pain intensity, pain-related disability, and quality of life, where greater sleep disturbance was associated with poorer outcomes. At follow-up, patients reported significant improvements across all pain and sleep outcomes. In two mediation models, we showed that changes in sleep disturbances from baseline to follow-up were significantly associated with (i) pain intensity at follow-up, and (ii) pain disability at follow-up. However, baseline pain intensity and disability scores were not associated with changes in sleep disturbances and, we did not find evidence for significant mediation of either pain outcome by changes in sleep disturbances. Conclusions Self-reported sleep disturbances were associated with pain outcomes at baseline and follow-up, with greater sleep disturbances associated with poorer pain outcomes. Changes in sleep quality did not mediate the relationships between baseline and follow-up scores for pain intensity and disability. These findings contribute to a growing body of evidence confirming an association between sleep and chronic pain experience, particularly suggestive of a sleep to pain link. Our data following patients after interdisciplinary treatment suggests that improved sleep is a marker for a better outcome after treatment.

scholarly journals (393) Autonomic correlates of pain intensity, somatic symptoms and sleep quality in TMD: the OPPERA study

2017 ◽  
Vol 18 (4) ◽  
pp. S73 ◽  
Author(s):  
A. Bortsov ◽  
E. Bair ◽  
R. Dubner ◽  
R. Fillingim ◽  
J. Greenspan ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pain Intensity ◽  
Somatic Symptoms

Perceived Partner Responsiveness Predicts Better Sleep Quality Through Lower Anxiety

2016 ◽  
Vol 8 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Emre Selcuk ◽  
Sarah C. E. Stanton ◽  
Richard B. Slatcher ◽  
Anthony D. Ong
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Sleep Efficiency ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Sleep Study ◽  
Sleep Behavior ◽  
Subjective Sleep ◽  
Perceived Partner Responsiveness ◽  
Partner Responsiveness

The present study investigated whether perceived partner responsiveness—the extent to which individuals feel cared for, understood, and validated by their partner—predicted subjective sleep problems and objective (actigraph-based) sleep efficiency through lower anxiety and depression symptoms. A life span sample of 698 married or cohabiting adults (35–86 years old) completed measures of perceived partner responsiveness and subjective sleep problems. A subset of the sample ( N = 219) completed a weeklong sleep study where actigraph-based measures of sleep efficiency were obtained. Perceived partner responsiveness predicted lower self-reported global sleep problems through lower anxiety and depression and greater actigraph-assessed sleep efficiency through lower anxiety. All indirect associations held after controlling for emotional support provision to the partner, agreeableness, and demographic and health covariates known to affect sleep quality. These findings are among the first to demonstrate how perceived partner responsiveness, a core aspect of romantic relationships, is linked to sleep behavior.

Anxiety and Depression Prevalence Rates in Age-Related Macular Degeneration

2007 ◽  
Vol 48 (4) ◽  
pp. 1498 ◽  
Author(s):  
Albert Augustin ◽  
Jose´-Alain Sahel ◽  
Francesco Bandello ◽  
Roland Dardennes ◽  
Fre´de´rique Maurel ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Anxiety And Depression ◽  
Prevalence Rates ◽  
Depression Prevalence ◽  
Age Related

scholarly journals Prevalence, Correlations, and Impact of Sleep Disturbance in Chinese Meningioma Patients

2021 ◽  
Author(s):  
Dandan Zhang ◽  
Jing Wang ◽  
Xixi Gu ◽  
Zhifeng Gu ◽  
Liren Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Short Form ◽  
Binary Logistic Regression ◽  
Anxiety And Depression ◽  
Newly Diagnosed ◽  
Chi Square Analysis

Abstract Purpose Sleep disturbance is common in meningioma patients and may lead to disease aggravation and decreases health-related quality of life (HRQoL). However, the sleep quality of meningioma patients newly diagnosed and ready for surgery has not been well clarified in China. This study aims to evaluate the prevalence, correlates, and impact of sleep disturbance among Chinese meningioma patients. Methods In this cross-sectional study, meningioma patients were recruited from the Affiliated Hospital of Nantong University from January 2020 to November 2020. A series of questionnaires were applied: the 0–10 Numerical Rating Scale (NRS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Fatigue Inventory (MFI-20), the Epworth Sleepiness Scale (ESS), the Short-Form 36 (SF-36), the Pittsburgh Sleep Quality Index (PSQI). Independent samples t test, Mann-Whitney U test, chi-square analysis, Pearson/Spearman correlation, and binary logistic regression were used to analyze the data. Results 100 meningioma patients completed the questionnaires. Sleep disturbance affected 43% of the meningioma patients and was linked to many concomitant symptoms, such as headache, fatigue, anxiety and depression. Binary logistic regression indicated that fatigue and headache were predictors of sleep disturbance in meningioma patients. Meanwhile, severe sleep disturbance led to lower quality of life. Conclusions These findings demonstrated that a considerable number of meningioma patients newly diagnosed and ready for surgery suffered from sleep disturbance, potentially contributing to impair HRQoL. Medical personnel should pay more attention to meningioma patients with sleep disturbance and take effective measures to improve sleep quality, with the ultimate goal to improve their HRQoL.

scholarly journals Association between ongoing pain intensity, health-related quality of life, disability and quality of sleep in elderly people with total knee arthroplasty

2014 ◽  
Vol 19 (6) ◽  
pp. 1881-1888 ◽  
Author(s):  
María Dolores Herrero-Sánchez ◽  
María del Carmen García-Iñigo ◽  
Blanca Soledad Nuño-Beato-Redondo ◽  
César Fernández-de-las-Peñas ◽  
Francisco Alburquerque-Sendín
Keyword(s):  
Quality Of Life ◽  
Total Knee Arthroplasty ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Social Role ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Total Knee

The scope of this paper was to study the relationship between pain intensity, health-related quality of life, disability, sleep quality and demographic data in elderly people with total knee arthroplasty (TKA). 24 subjects who had been subjected to TKA the previous month (4 females; 66 ± 9years) and 21 comparable controls (8 male; 70 ± 9years) participated in the study. Intensity of pain, and highest and lowest pain intensity experienced in the preceding week were collected. The Western Ontario and McMaster Universities index function, quality of life (Medical Outcomes Study Short Form 36), and Pittsburgh Sleep Quality Index were assessed. Age, gender, weight, height, body mass index were also collected. Individuals with TKA presented worse physical function (P < 0.01), social role (P = 0.01), physical performance (P < 0.01), pain (P = 0.04), disability (P = 0.04) and sleep quality (P = 0.03) than the controls. Higher intensity of pain was associated with lower physical function, social role, mental health, vitality and general health, and with higher disability and sleep quality. Disability and sleep quality were negatively associated with several quality of life domains. The associations between the intensity of pain, disability, quality of life and sleep reveal the multidimensional experience of TKA.

Sign in / Sign up

Export Citation Format

Share Document