Mental health and personality traits during COVID-19 in China: a latent profile analysis

Li, M., Ahmed, Z., Hiramoni, F.A., Zhou, A., Ahmed, O. and Griffiths, M.D. ORCID: 0000-0001-8880-6524, 2021. Mental health and personality traits during COVID-19 in China: a latent profile analysis. International Journal of Environmental Research and Public Health, 18 (16): 8693. ISSN 1661-7827

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Abstract

During the COVID-19 pandemic, mental health problems have increased and are likely to be influenced by personality traits. The present study investigated the association between personality traits and mental health problems (anxiety, depression, post-traumatic stress syndrome (PTSD) symptoms, and obsessive-compulsive disorder (OCD) symptoms) through the person centered approach because this has some advantages over the variable-centered approach. The data were collected from a sample of 765 Chinese citizens who participated in an online survey in October 2020. Latent profile analysis identified three latent personality profiles-highly adaptive, adaptive, and maladaptive. Highly adaptive individuals had higher extroversion, agreeableness, conscientiousness, openness, and lower neuroticism, while maladaptive individuals had lower extroversion, agreeableness, conscientiousness, openness, and higher neuroticism. Multivariate analysis of variance results showed that individuals with highly adaptive profiles had lower anxiety , depression, and PTSD symptoms compared to individuals with adaptive and maladaptive profiles. The findings of the present study indicate mental health professionals would benefit from formulated intervention plans given the association between latent personality profiles and mental health problems.

Item Type: Journal article
Publication Title: International Journal of Environmental Research and Public Health
Creators: Li, M., Ahmed, Z., Hiramoni, F.A., Zhou, A., Ahmed, O. and Griffiths, M.D.
Publisher: MDPI
Date: 17 August 2021
Volume: 18
Number: 16
ISSN: 1661-7827
Identifiers:
NumberType
10.3390/ijerph18168693DOI
1460142Other
Rights: © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/)
Divisions: Schools > School of Social Sciences
Record created by: Laura Ward
Date Added: 17 Aug 2021 13:54
Last Modified: 17 Aug 2021 13:54
Related URLs:
URI: http://irep.ntu.ac.uk/id/eprint/44032

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