Factors Associated with Sleep Quality in Patients with Chronic Widespread Pain Attending Multidisciplinary Treatment.

Factors Associated with Sleep Quality in Patients with Chronic Widespread Pain Attending Multidisciplinary Treatment.

de Rooij, Aleid;van der Leeden, Marike;Roorda, Leo D;Rinkema, Marieke;Beuving, Willemine;Dekker, Joost;
pain practice : the official journal of world institute of pain 2020
324
de-rooij2020factorspain

Abstract

(i) To investigate the prevalence of poor sleep quality and (ii) to explore the associations between clinical, cognitive and emotional factors and quality of sleep in patients with chronic widespread pain (CWP) attending multidisciplinary treatment.Baseline data were used from 163 CWP patients referred for multidisciplinary treatment. Linear regression models were used to assess the relationship of clinical (pain, fatigue, pain interference and disability), emotional (anxiety, depression and psychological distress) and cognitive factors (catastrophizing, acceptance, self-efficacy, kinesiophobia and illness beliefs) with sleep quality, as measured with the Pittsburgh Sleep Quality Index (PSQI).Poor sleep quality was found in 92% of the patients. The multivariable model showed that a higher level of fatigue (b = 1.77, SE = 0.62, β = 0.21, t = 2.87, p = < 0.01), psychological distress (b = 0.02, SE = 0.01, β = 0.27, t = 3.50, p < 0.01) and more concerns about the illness (b = 0.46, SE = 0.18, β = 0.20, t = 2.57, p = 0.01) were independently associated with poorer quality of sleep. The overall linear regression model explains 27.9% of sleep quality.The high prevalence of poor sleep quality in patients with CWP referred for multidisciplinary treatment emphasizes the need to target sleep during treatment. Further research is needed to disentangle the cause-effect relationship between fatigue, psychological distress and concerns about the illness and poor sleep (this abstract has been published before see 1).

Citation

ID: 87966
Ref Key: de-rooij2020factorspain
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
87966
Unique Identifier:
10.1111/papr.12873
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet