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Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap
There is extensive literature establishing the influence of rumination, hopelessness, and dysfunctional attitudes on depressive symptoms. However, it is unclear whether these vulnerability factors are distinctly related to depressive symptoms or show substantial overlap. In two large samples of unde...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161451/ https://www.ncbi.nlm.nih.gov/pubmed/27992548 http://dx.doi.org/10.1371/journal.pone.0168612 |
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author | Marchetti, Igor Loeys, Tom Alloy, Lauren B. Koster, Ernst H. W. |
author_facet | Marchetti, Igor Loeys, Tom Alloy, Lauren B. Koster, Ernst H. W. |
author_sort | Marchetti, Igor |
collection | PubMed |
description | There is extensive literature establishing the influence of rumination, hopelessness, and dysfunctional attitudes on depressive symptoms. However, it is unclear whether these vulnerability factors are distinctly related to depressive symptoms or show substantial overlap. In two large samples of undergraduates (Study #1, n = 304; Study #2, n = 491) and two samples of clinically depressed individuals (Study #3, n = 141; Study #4, n = 109, from published studies), questionnaire data were used to examine the relationship between cognitive vulnerability factors and depressive symptoms, along with additional measures of anxiety and stress symptoms. To decompose model fit into its specific and common partitions, we relied on commonality analysis (CA). CA showed that there is substantial overlap in cognitive risk factors for depression. Moreover, we found strong evidence that hopelessness provides a unique statistical contribution to depression. This pattern of findings was stable in healthy as well as clinical samples. Symptom-levels analysis revealed that a specific subset of depressive symptoms are associated with hopelessness. In closing, we showed that CA provides a powerful tool to map unique and overlapping variance between multiple risk factors. Moreover, hopelessness emerged to be an important focus of clinical attention. |
format | Online Article Text |
id | pubmed-5161451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51614512017-01-04 Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap Marchetti, Igor Loeys, Tom Alloy, Lauren B. Koster, Ernst H. W. PLoS One Research Article There is extensive literature establishing the influence of rumination, hopelessness, and dysfunctional attitudes on depressive symptoms. However, it is unclear whether these vulnerability factors are distinctly related to depressive symptoms or show substantial overlap. In two large samples of undergraduates (Study #1, n = 304; Study #2, n = 491) and two samples of clinically depressed individuals (Study #3, n = 141; Study #4, n = 109, from published studies), questionnaire data were used to examine the relationship between cognitive vulnerability factors and depressive symptoms, along with additional measures of anxiety and stress symptoms. To decompose model fit into its specific and common partitions, we relied on commonality analysis (CA). CA showed that there is substantial overlap in cognitive risk factors for depression. Moreover, we found strong evidence that hopelessness provides a unique statistical contribution to depression. This pattern of findings was stable in healthy as well as clinical samples. Symptom-levels analysis revealed that a specific subset of depressive symptoms are associated with hopelessness. In closing, we showed that CA provides a powerful tool to map unique and overlapping variance between multiple risk factors. Moreover, hopelessness emerged to be an important focus of clinical attention. Public Library of Science 2016-12-16 /pmc/articles/PMC5161451/ /pubmed/27992548 http://dx.doi.org/10.1371/journal.pone.0168612 Text en © 2016 Marchetti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Marchetti, Igor Loeys, Tom Alloy, Lauren B. Koster, Ernst H. W. Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title | Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title_full | Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title_fullStr | Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title_full_unstemmed | Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title_short | Unveiling the Structure of Cognitive Vulnerability for Depression: Specificity and Overlap |
title_sort | unveiling the structure of cognitive vulnerability for depression: specificity and overlap |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161451/ https://www.ncbi.nlm.nih.gov/pubmed/27992548 http://dx.doi.org/10.1371/journal.pone.0168612 |
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