Big five personality predict epilepsy diagnosis in 7 years
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Published version
Author(s)
Kang, Weixi
Type
Journal Article
Abstract
Objective
The aim of the current study is to assess how Big Five personality traits can predict the risks of epilepsy diagnosis in 7 years.
Methods
The current study analyzed data from 17, 789 participants who participated in Understanding Society: the UK Household Longitudinal Study (UKHLS) at Wave 3 (collected between 2011 and 2012) and Wave 10 (collected between 2018 and 2019) with a mean age of 47.01 (S.D.=16.31) years old with 42.62% males.
Results
Results revealed that Neuroticism is positively related to the risks of epilepsy diagnosis in 7 years in males (OR=1.32, p<0.05, 95% C.I. [1.01, 1.71]) but not in females.
Conclusion
There is a need to include personality traits in routine assessments by health professionals, as they could identify individuals with a greater risk of developing epilepsy. Moreover, sex differences must be taken into account.
The aim of the current study is to assess how Big Five personality traits can predict the risks of epilepsy diagnosis in 7 years.
Methods
The current study analyzed data from 17, 789 participants who participated in Understanding Society: the UK Household Longitudinal Study (UKHLS) at Wave 3 (collected between 2011 and 2012) and Wave 10 (collected between 2018 and 2019) with a mean age of 47.01 (S.D.=16.31) years old with 42.62% males.
Results
Results revealed that Neuroticism is positively related to the risks of epilepsy diagnosis in 7 years in males (OR=1.32, p<0.05, 95% C.I. [1.01, 1.71]) but not in females.
Conclusion
There is a need to include personality traits in routine assessments by health professionals, as they could identify individuals with a greater risk of developing epilepsy. Moreover, sex differences must be taken into account.
Date Issued
2023-06-12
Date Acceptance
2023-05-11
Citation
Frontiers in Neurology, 2023, 14, pp.1-4
ISSN
1664-2295
Publisher
Frontiers Media S.A.
Start Page
1
End Page
4
Journal / Book Title
Frontiers in Neurology
Volume
14
Copyright Statement
Copyright © 2023 Kang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Identifier
https://www.frontiersin.org/articles/10.3389/fneur.2023.1083792/full
Publication Status
Published
Article Number
1083792
Date Publish Online
2023-06-12