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Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis
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 ob...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391495/ https://www.ncbi.nlm.nih.gov/pubmed/34444441 http://dx.doi.org/10.3390/ijerph18168693 |
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author | Li, Mei Ahmed, Md Zahir Hiramoni, Fatema Akhter Zhou, Aibao Ahmed, Oli Griffiths, Mark D. |
author_facet | Li, Mei Ahmed, Md Zahir Hiramoni, Fatema Akhter Zhou, Aibao Ahmed, Oli Griffiths, Mark D. |
author_sort | Li, Mei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8391495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83914952021-08-28 Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis Li, Mei Ahmed, Md Zahir Hiramoni, Fatema Akhter Zhou, Aibao Ahmed, Oli Griffiths, Mark D. Int J Environ Res Public Health Article 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. MDPI 2021-08-17 /pmc/articles/PMC8391495/ /pubmed/34444441 http://dx.doi.org/10.3390/ijerph18168693 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Li, Mei Ahmed, Md Zahir Hiramoni, Fatema Akhter Zhou, Aibao Ahmed, Oli Griffiths, Mark D. Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title | Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title_full | Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title_fullStr | Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title_full_unstemmed | Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title_short | Mental Health and Personality Traits during COVID-19 in China: A Latent Profile Analysis |
title_sort | mental health and personality traits during covid-19 in china: a latent profile analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391495/ https://www.ncbi.nlm.nih.gov/pubmed/34444441 http://dx.doi.org/10.3390/ijerph18168693 |
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