Relationship of Nocturnal Sleep Dysfunction and Pain Subtypes in Parkinson's Disease
(2019) In Movement Disorders Clinical Practice 6(1). p.57-64- Abstract
Background: Little research has been conducted regarding the relationship between sleep disorders and different pain types in Parkinson's disease (PD). Objective: To explore the influence of the various pain subtypes experienced by PD patients on sleep. Methods: Three hundred consecutive PD patients were assessed with the PD Sleep Scale-Version 2 (PDSS-2), King's PD Pain Scale (KPPS), King's PD Pain Questionnaire (KPPQ), Visual Analog Scales for Pain (VAS-Pain), and Hospital Anxiety and Depression Scale. Results: According to the PDSS-2, 99.3% of our sample suffered from at least one sleep issue. Those who reported experiencing any modality of pain suffered significantly more from sleep disorders than those who did not (all, P <... (More)
Background: Little research has been conducted regarding the relationship between sleep disorders and different pain types in Parkinson's disease (PD). Objective: To explore the influence of the various pain subtypes experienced by PD patients on sleep. Methods: Three hundred consecutive PD patients were assessed with the PD Sleep Scale-Version 2 (PDSS-2), King's PD Pain Scale (KPPS), King's PD Pain Questionnaire (KPPQ), Visual Analog Scales for Pain (VAS-Pain), and Hospital Anxiety and Depression Scale. Results: According to the PDSS-2, 99.3% of our sample suffered from at least one sleep issue. Those who reported experiencing any modality of pain suffered significantly more from sleep disorders than those who did not (all, P < 0.003). The PDSS-2 showed moderate-to-high correlations with the KPPS (rS = 0.57), KPPQ (0.57), and VAS-Pain (0.35). When PDSS-2 items 10 to 12 (pain-related) were excluded, the correlation values decreased to 0.50, 0.51, and 0.28, respectively, while these items showed moderate-to-high correlations with KPPS (0.56), KPPQ (0.54), and VAS-Pain (0.42). Among the variables analyzed, multiple linear regression models suggested that KPPS and KPPQ were the most relevant predictors of sleep disorders (as per the PDSS-2), although following exclusion of PDSS-2 pain items, depression was the relevant predictor. Depression and anxiety were the most relevant predictors in the analysis involving the VAS-Pain. Regression analysis, considering only the KPPS domains, showed that nocturnal and musculoskeletal pains were the best predictors of overall nocturnal sleep disorder. Conclusions: Pain showed a moderate association with nocturnal sleep dysfunction in PD. Some pain subtypes had a greater effect on sleep than others.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- KPPQ, KPPS, nocturnal sleep dysfunction, pain, Parkinson's disease, PDSS-2
- in
- Movement Disorders Clinical Practice
- volume
- 6
- issue
- 1
- pages
- 57 - 64
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:30746417
- scopus:85056186983
- ISSN
- 2330-1619
- DOI
- 10.1002/mdc3.12694
- language
- English
- LU publication?
- yes
- id
- 470addcd-ba76-4f62-8c67-dcee86a75557
- date added to LUP
- 2018-11-23 14:26:22
- date last changed
- 2024-07-23 03:47:00
@article{470addcd-ba76-4f62-8c67-dcee86a75557, abstract = {{<p>Background: Little research has been conducted regarding the relationship between sleep disorders and different pain types in Parkinson's disease (PD). Objective: To explore the influence of the various pain subtypes experienced by PD patients on sleep. Methods: Three hundred consecutive PD patients were assessed with the PD Sleep Scale-Version 2 (PDSS-2), King's PD Pain Scale (KPPS), King's PD Pain Questionnaire (KPPQ), Visual Analog Scales for Pain (VAS-Pain), and Hospital Anxiety and Depression Scale. Results: According to the PDSS-2, 99.3% of our sample suffered from at least one sleep issue. Those who reported experiencing any modality of pain suffered significantly more from sleep disorders than those who did not (all, P < 0.003). The PDSS-2 showed moderate-to-high correlations with the KPPS (r<sub>S</sub> = 0.57), KPPQ (0.57), and VAS-Pain (0.35). When PDSS-2 items 10 to 12 (pain-related) were excluded, the correlation values decreased to 0.50, 0.51, and 0.28, respectively, while these items showed moderate-to-high correlations with KPPS (0.56), KPPQ (0.54), and VAS-Pain (0.42). Among the variables analyzed, multiple linear regression models suggested that KPPS and KPPQ were the most relevant predictors of sleep disorders (as per the PDSS-2), although following exclusion of PDSS-2 pain items, depression was the relevant predictor. Depression and anxiety were the most relevant predictors in the analysis involving the VAS-Pain. Regression analysis, considering only the KPPS domains, showed that nocturnal and musculoskeletal pains were the best predictors of overall nocturnal sleep disorder. Conclusions: Pain showed a moderate association with nocturnal sleep dysfunction in PD. Some pain subtypes had a greater effect on sleep than others.</p>}}, author = {{Martinez-Martin, Pablo and Rizos, Alexandra M. and Wetmore, John B. and Antonini, Angelo and Odin, Per and Pal, Suvankar and Sophia, Rani and Carroll, Camille and Martino, Davide and Falup-Pecurariu, Cristian and Kessel, Belinda and Andrews, Thomasin and Paviour, Dominic and Trenkwalder, Claudia and Chaudhuri, Kallol Ray}}, issn = {{2330-1619}}, keywords = {{KPPQ; KPPS; nocturnal sleep dysfunction; pain; Parkinson's disease; PDSS-2}}, language = {{eng}}, number = {{1}}, pages = {{57--64}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Movement Disorders Clinical Practice}}, title = {{Relationship of Nocturnal Sleep Dysfunction and Pain Subtypes in Parkinson's Disease}}, url = {{http://dx.doi.org/10.1002/mdc3.12694}}, doi = {{10.1002/mdc3.12694}}, volume = {{6}}, year = {{2019}}, }