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  4. Personality traits predict 7-year risk of diagnosis of multiple sclerosis: a prospective study
 
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Personality traits predict 7-year risk of diagnosis of multiple sclerosis: a prospective study
File(s)
jcm-12-00682.pdf (613.41 KB)
Published version
Author(s)
Kang, Weixi
Type
Journal Article
Abstract
Objective: The objective of the current study is to investigate how Big Five personality traits could predict the risk of multiple sclerosis (MS) diagnosis in 7 years. Methods: A binary logistic regression was used to analyze data from 17,791 participants who responded to questions at Wave 3 (collected between 2011 to 2012) and Wave 10 (collected between 2018 to 2019) using a binary logistic regression from UKHLS with a mean age of 47.01 (S.D. = 16.31) years old with 42.62% males. Results: The current study found that Openness (OR = 0.68, p < 0.01, 95% C.I. (0.51, 0.89)) and Conscientiousness (OR = 0.70, p < 0.05, 95% C.I. (0.52, 0.93)) are positively associated with a reduced risk of MS diagnosis in 7 years. Conclusion: Health professionals can use findings from the current study as evidence for developing tools for assessing the risk of MS, and providing interventions for people who may be at high risk of MS based on their personality traits.
Date Issued
2023-01-15
Date Acceptance
2023-01-13
Citation
Journal of Clinical Medicine, 2023, 12 (2), pp.1-6
URI
http://hdl.handle.net/10044/1/102762
URL
https://www.mdpi.com/2077-0383/12/2/682
DOI
https://www.dx.doi.org/10.3390/jcm12020682
ISSN
2077-0383
Publisher
MDPI AG
Start Page
1
End Page
6
Journal / Book Title
Journal of Clinical Medicine
Volume
12
Issue
2
Copyright Statement
© 2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
https://www.mdpi.com/2077-0383/12/2/682
Publication Status
Published
Article Number
682
Date Publish Online
2023-01-15
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