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Relationship of Nocturnal Sleep Dysfunction and Pain Subtypes in Parkinson's Disease

, ; Martinez-Martin, Pablo; Rizos, Alexandra M.; Wetmore, John B.; Antonini, Angelo; Odin, Per LU ; Pal, Suvankar; Sophia, Rani; Carroll, Camille and Martino, Davide, et al. (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.

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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
external identifiers
  • 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
2019-05-27 15:14:31
@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 &lt; 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       = {,  and 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},
  keyword      = {KPPQ,KPPS,nocturnal sleep dysfunction,pain,Parkinson's disease,PDSS-2},
  language     = {eng},
  number       = {1},
  pages        = {57--64},
  publisher    = {John Wiley & Sons},
  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},
  volume       = {6},
  year         = {2019},
}