Personality as a Predictor of Disability in Multiple Sclerosis.
Disability/handicaps
Multiple sclerosis
Personality and personality disorders
Journal
Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists
ISSN: 1873-5843
Titre abrégé: Arch Clin Neuropsychol
Pays: United States
ID NLM: 9004255
Informations de publication
Date de publication:
25 Jul 2023
25 Jul 2023
Historique:
accepted:
10
01
2023
medline:
27
7
2023
pubmed:
11
2
2023
entrez:
10
2
2023
Statut:
ppublish
Résumé
As personality changes and personality disorders are frequently observed in multiple sclerosis (MS), personality may be a prognostic factor for this disease. The present study investigated the influence of personality on disability, progression, and treatment adherence in MS. Personality was assessed in 41 patients with Relapsing-Remitting MS (30 females; mean age = 42.63 years) using the NEO Personality Inventory-3rd edition. Disability was measured with the Expanded Disability Status Scale, and treatment adherence information was collected from the Swiss MS Cohort. Correlation, multiple linear and partial least square regressions were performed to examine relations between personality, disability, and treatment adherence in MS. After accounting for age and time since disease onset, our analysis revealed that Neuroticism (β = 0.32, p = 0.01) and its Vulnerability facet (β = 0.28, p < 0.05) predicted greater disability, whereas Extraversion (β = -0.25, p = 0.04) and its Activity facet (β = -0.23, p < 0.05) predicted milder disability. Regarding disability progression, correlational analysis revealed that it was negatively correlated with Extraversion (r = -0.44, p = 0.02) and the Feelings facet of Openness (r = -0.41, p = 0.03), but regressions failed to highlight any predictive links. No significant results could be demonstrated for treatment adherence. Overall, our study showed that some personality traits can impact disability in MS, indicating that these should be considered in clinical practice, as they could be used to adapt and improve patients' clinical support.
Identifiants
pubmed: 36764662
pii: 7034215
doi: 10.1093/arclin/acad010
pmc: PMC10369360
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
657-666Subventions
Organisme : University of Geneva
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.
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