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The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder
BACKGROUND: Major depressive disorder (MDD) is a global public health concern that is notably underdiagnosed and undertreated due to its complexity and subjective diagnostic methods. A holistic diagnostic procedure, which sufficiently considers all possible contributors to MDD symptoms, would improv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047339/ https://www.ncbi.nlm.nih.gov/pubmed/35484526 http://dx.doi.org/10.1186/s12888-022-03942-y |
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author | Ho, Cyrus S. H. Chua, J. Tay, Gabrielle W. N. |
author_facet | Ho, Cyrus S. H. Chua, J. Tay, Gabrielle W. N. |
author_sort | Ho, Cyrus S. H. |
collection | PubMed |
description | BACKGROUND: Major depressive disorder (MDD) is a global public health concern that is notably underdiagnosed and undertreated due to its complexity and subjective diagnostic methods. A holistic diagnostic procedure, which sufficiently considers all possible contributors to MDD symptoms, would improve MDD diagnosis and treatment. This study aims to explore whether personality and coping styles can predict MDD status and differentiate between depressed patients and healthy individuals. METHODS: Seventy healthy controls (N = 54 females) were matched to 70 MDD patients for age, sex, ethnicity, and years of education. MDD severity was measured using the Hamilton Depression Rating Scale, while personality traits and coping styles were measured by the Ten-Item Personality (TIPI) and Brief COPE questionnaires, respectively. Logistic regression analyses were conducted to investigate the diagnostic and predictive potential of personality and coping styles. Receiver operating characteristic (ROC) analyses were also conducted to examine their discriminative ability to distinguish between depressed and healthy individuals. RESULTS: Introversion, lack of organisation skills, and neuroticism were statistically significant in predicting MDD status. Dysfunctional coping strategies, such as denial and self-blame, were also shown to significantly predict MDD status. ROC analyses found both the TIPI questionnaire (AUC = 0.90), and dysfunctional coping (as measured by Brief COPE) (AUC = 0.90) to be excellent predictors of MDD. CONCLUSIONS: Our findings demonstrate the diagnostic and predictive potential of personality and coping styles for MDD in the clinical setting. They also demonstrate the remarkable ability of personality and coping styles to differentiate between depressed patients and healthy controls. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03942-y. |
format | Online Article Text |
id | pubmed-9047339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90473392022-04-29 The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder Ho, Cyrus S. H. Chua, J. Tay, Gabrielle W. N. BMC Psychiatry Research BACKGROUND: Major depressive disorder (MDD) is a global public health concern that is notably underdiagnosed and undertreated due to its complexity and subjective diagnostic methods. A holistic diagnostic procedure, which sufficiently considers all possible contributors to MDD symptoms, would improve MDD diagnosis and treatment. This study aims to explore whether personality and coping styles can predict MDD status and differentiate between depressed patients and healthy individuals. METHODS: Seventy healthy controls (N = 54 females) were matched to 70 MDD patients for age, sex, ethnicity, and years of education. MDD severity was measured using the Hamilton Depression Rating Scale, while personality traits and coping styles were measured by the Ten-Item Personality (TIPI) and Brief COPE questionnaires, respectively. Logistic regression analyses were conducted to investigate the diagnostic and predictive potential of personality and coping styles. Receiver operating characteristic (ROC) analyses were also conducted to examine their discriminative ability to distinguish between depressed and healthy individuals. RESULTS: Introversion, lack of organisation skills, and neuroticism were statistically significant in predicting MDD status. Dysfunctional coping strategies, such as denial and self-blame, were also shown to significantly predict MDD status. ROC analyses found both the TIPI questionnaire (AUC = 0.90), and dysfunctional coping (as measured by Brief COPE) (AUC = 0.90) to be excellent predictors of MDD. CONCLUSIONS: Our findings demonstrate the diagnostic and predictive potential of personality and coping styles for MDD in the clinical setting. They also demonstrate the remarkable ability of personality and coping styles to differentiate between depressed patients and healthy controls. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03942-y. BioMed Central 2022-04-28 /pmc/articles/PMC9047339/ /pubmed/35484526 http://dx.doi.org/10.1186/s12888-022-03942-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ho, Cyrus S. H. Chua, J. Tay, Gabrielle W. N. The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title | The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title_full | The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title_fullStr | The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title_full_unstemmed | The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title_short | The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
title_sort | diagnostic and predictive potential of personality traits and coping styles in major depressive disorder |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047339/ https://www.ncbi.nlm.nih.gov/pubmed/35484526 http://dx.doi.org/10.1186/s12888-022-03942-y |
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