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Psychiatric and physical comorbidities and pain in patients with multiple sclerosis
BACKGROUND: It has been observed that patients with multiple sclerosis (MS), who have psychiatric and physical comorbidities such as depression and COPD, have an increased risk of experiencing more pain. In this study, we have distinguished between pain intensity and pain affect, as the latter, part...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815482/ https://www.ncbi.nlm.nih.gov/pubmed/29491716 http://dx.doi.org/10.2147/JPR.S146717 |
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author | Scherder, Rogier Kant, Neeltje Wolf, Evelien T Pijnenburg, Bas Scherder, Erik JA |
author_facet | Scherder, Rogier Kant, Neeltje Wolf, Evelien T Pijnenburg, Bas Scherder, Erik JA |
author_sort | Scherder, Rogier |
collection | PubMed |
description | BACKGROUND: It has been observed that patients with multiple sclerosis (MS), who have psychiatric and physical comorbidities such as depression and COPD, have an increased risk of experiencing more pain. In this study, we have distinguished between pain intensity and pain affect, as the latter, particularly, requires treatment. Furthermore, while pain and comorbidities have been assessed using questionnaires, this is possibly a less reliable method for those who are cognitively vulnerable. OBJECTIVE: The aim of this study was to determine whether psychiatric and physical comorbidities can predict pain intensity and pain affect in MS patients, susceptible to cognitive impairment. METHODS: Ninety-four patients with MS and 80 control participants participated in this cross-sectional study. Besides depression and anxiety, 47 additional comorbidities were extracted from patients’ medical records. Depression and anxiety were assessed using the Beck Depression Inventory and the Symptom Check List-90. Pain was assessed using the Number of Words Chosen Affective, Coloured Analog Scale, and the Faces Pain Scale. Cognitive functions, for example, memory and executive functions, were assessed using several neuropsychological tests. RESULTS: The main findings indicate that psychiatric comorbidities (depression and anxiety) predict both pain intensity and pain affect and that total physical comorbidity predicts only pain affect in MS patients, susceptible to cognitive impairment. CONCLUSION: Both psychiatric and physical comorbidities predict pain affect. All three clinical outcomes enhance MS patients’ suffering. |
format | Online Article Text |
id | pubmed-5815482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58154822018-02-28 Psychiatric and physical comorbidities and pain in patients with multiple sclerosis Scherder, Rogier Kant, Neeltje Wolf, Evelien T Pijnenburg, Bas Scherder, Erik JA J Pain Res Original Research BACKGROUND: It has been observed that patients with multiple sclerosis (MS), who have psychiatric and physical comorbidities such as depression and COPD, have an increased risk of experiencing more pain. In this study, we have distinguished between pain intensity and pain affect, as the latter, particularly, requires treatment. Furthermore, while pain and comorbidities have been assessed using questionnaires, this is possibly a less reliable method for those who are cognitively vulnerable. OBJECTIVE: The aim of this study was to determine whether psychiatric and physical comorbidities can predict pain intensity and pain affect in MS patients, susceptible to cognitive impairment. METHODS: Ninety-four patients with MS and 80 control participants participated in this cross-sectional study. Besides depression and anxiety, 47 additional comorbidities were extracted from patients’ medical records. Depression and anxiety were assessed using the Beck Depression Inventory and the Symptom Check List-90. Pain was assessed using the Number of Words Chosen Affective, Coloured Analog Scale, and the Faces Pain Scale. Cognitive functions, for example, memory and executive functions, were assessed using several neuropsychological tests. RESULTS: The main findings indicate that psychiatric comorbidities (depression and anxiety) predict both pain intensity and pain affect and that total physical comorbidity predicts only pain affect in MS patients, susceptible to cognitive impairment. CONCLUSION: Both psychiatric and physical comorbidities predict pain affect. All three clinical outcomes enhance MS patients’ suffering. Dove Medical Press 2018-02-13 /pmc/articles/PMC5815482/ /pubmed/29491716 http://dx.doi.org/10.2147/JPR.S146717 Text en © 2018 Scherder et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Scherder, Rogier Kant, Neeltje Wolf, Evelien T Pijnenburg, Bas Scherder, Erik JA Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title | Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title_full | Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title_fullStr | Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title_full_unstemmed | Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title_short | Psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
title_sort | psychiatric and physical comorbidities and pain in patients with multiple sclerosis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815482/ https://www.ncbi.nlm.nih.gov/pubmed/29491716 http://dx.doi.org/10.2147/JPR.S146717 |
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