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Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults
The Beck Depression Inventory-II (BDI-II) is one of the most widely used depression assessment tools in Korea. However, the psychometric properties and diagnostic cut-off point of the official Korean version of the BDI-II have not yet been reported. This study aims to clarify the psychometric proper...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985267/ https://www.ncbi.nlm.nih.gov/pubmed/32038360 http://dx.doi.org/10.3389/fpsyg.2019.02934 |
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author | Park, Kiho Jaekal, Eunju Yoon, Seowon Lee, Seung-Hwan Choi, Kee-Hong |
author_facet | Park, Kiho Jaekal, Eunju Yoon, Seowon Lee, Seung-Hwan Choi, Kee-Hong |
author_sort | Park, Kiho |
collection | PubMed |
description | The Beck Depression Inventory-II (BDI-II) is one of the most widely used depression assessment tools in Korea. However, the psychometric properties and diagnostic cut-off point of the official Korean version of the BDI-II have not yet been reported. This study aims to clarify the psychometric properties and diagnostic utility of the Korean BDI-II. A total of 1,145 clinical and non-clinical Korean adults participated in this study. The BDI-II showed a high level of internal consistency and high correlations with other depression-related measures. Confirmatory factor analysis (CFA) was performed, and a 3-factor model showed the best model fit. To identify the diagnostic utility of the BDI-II, the Quality Assessment of Diagnostic Accuracy Studies 2nd Edition (QUADAS-2) methodology was applied in participant recruitment and research design. Results of ROC curve analysis suggested two optimal cut-off scores, 23 points for detecting major depressive disorder (MDD) (83.3% sensitivity, 86.8% specificity) and 17 points for depressive-related disorder (80.9% sensitivity, 76.4% specificity). To identify the usefulness of the BDI-II as a severity assessment tool or screening tool, a test information curve (TIC) was generated with an Item Response Theory (IRT) analysis. The TIC was flat and plateau-like, indicating its appropriateness as a severity rating tool. Research data supports the BDI-II as a reliable and valid screening tool as well as a severity rating tool in the Korean adult population. |
format | Online Article Text |
id | pubmed-6985267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69852672020-02-07 Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults Park, Kiho Jaekal, Eunju Yoon, Seowon Lee, Seung-Hwan Choi, Kee-Hong Front Psychol Psychology The Beck Depression Inventory-II (BDI-II) is one of the most widely used depression assessment tools in Korea. However, the psychometric properties and diagnostic cut-off point of the official Korean version of the BDI-II have not yet been reported. This study aims to clarify the psychometric properties and diagnostic utility of the Korean BDI-II. A total of 1,145 clinical and non-clinical Korean adults participated in this study. The BDI-II showed a high level of internal consistency and high correlations with other depression-related measures. Confirmatory factor analysis (CFA) was performed, and a 3-factor model showed the best model fit. To identify the diagnostic utility of the BDI-II, the Quality Assessment of Diagnostic Accuracy Studies 2nd Edition (QUADAS-2) methodology was applied in participant recruitment and research design. Results of ROC curve analysis suggested two optimal cut-off scores, 23 points for detecting major depressive disorder (MDD) (83.3% sensitivity, 86.8% specificity) and 17 points for depressive-related disorder (80.9% sensitivity, 76.4% specificity). To identify the usefulness of the BDI-II as a severity assessment tool or screening tool, a test information curve (TIC) was generated with an Item Response Theory (IRT) analysis. The TIC was flat and plateau-like, indicating its appropriateness as a severity rating tool. Research data supports the BDI-II as a reliable and valid screening tool as well as a severity rating tool in the Korean adult population. Frontiers Media S.A. 2020-01-21 /pmc/articles/PMC6985267/ /pubmed/32038360 http://dx.doi.org/10.3389/fpsyg.2019.02934 Text en Copyright © 2020 Park, Jaekal, Yoon, Lee and Choi. http://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Psychology Park, Kiho Jaekal, Eunju Yoon, Seowon Lee, Seung-Hwan Choi, Kee-Hong Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title | Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title_full | Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title_fullStr | Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title_full_unstemmed | Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title_short | Diagnostic Utility and Psychometric Properties of the Beck Depression Inventory-II Among Korean Adults |
title_sort | diagnostic utility and psychometric properties of the beck depression inventory-ii among korean adults |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985267/ https://www.ncbi.nlm.nih.gov/pubmed/32038360 http://dx.doi.org/10.3389/fpsyg.2019.02934 |
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