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Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study
The study investigated the power of theoretically derived cognitive variables to predict posttraumatic stress disorder (PTSD), travel phobia, and depression following injury in a motor vehicle accident (MVA). MVA survivors (N = 147) were assessed at the emergency department on the day of their accid...
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Formato: | Texto |
Lenguaje: | English |
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American Psychological Association
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672053/ https://www.ncbi.nlm.nih.gov/pubmed/18377119 http://dx.doi.org/10.1037/0022-006X.76.2.219 |
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author | Ehring, Thomas Ehlers, Anke Glucksman, Edward |
author_facet | Ehring, Thomas Ehlers, Anke Glucksman, Edward |
author_sort | Ehring, Thomas |
collection | PubMed |
description | The study investigated the power of theoretically derived cognitive variables to predict posttraumatic stress disorder (PTSD), travel phobia, and depression following injury in a motor vehicle accident (MVA). MVA survivors (N = 147) were assessed at the emergency department on the day of their accident and 2 weeks, 1 month, 3 months, and 6 months later. Diagnoses were established with the Structured Clinical Interview for DSM–IV. Predictors included initial symptom severities; variables established as predictors of PTSD in E. J. Ozer, S. R. Best, T. L. Lipsey, and D. S. Weiss's (2003) meta-analysis; and variables derived from cognitive models of PTSD, phobia, and depression. Results of nonparametric multiple regression analyses showed that the cognitive variables predicted subsequent PTSD and depression severities over and above what could be predicted from initial symptom levels. They also showed greater predictive power than the established predictors, although the latter showed similar effect sizes as in the meta-analysis. In addition, the predictors derived from cognitive models of PTSD and depression were disorder-specific. The results support the role of cognitive factors in the maintenance of emotional disorders following trauma. |
format | Text |
id | pubmed-2672053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | American Psychological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-26720532009-06-04 Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study Ehring, Thomas Ehlers, Anke Glucksman, Edward J Consult Clin Psychol PTSD/Trauma The study investigated the power of theoretically derived cognitive variables to predict posttraumatic stress disorder (PTSD), travel phobia, and depression following injury in a motor vehicle accident (MVA). MVA survivors (N = 147) were assessed at the emergency department on the day of their accident and 2 weeks, 1 month, 3 months, and 6 months later. Diagnoses were established with the Structured Clinical Interview for DSM–IV. Predictors included initial symptom severities; variables established as predictors of PTSD in E. J. Ozer, S. R. Best, T. L. Lipsey, and D. S. Weiss's (2003) meta-analysis; and variables derived from cognitive models of PTSD, phobia, and depression. Results of nonparametric multiple regression analyses showed that the cognitive variables predicted subsequent PTSD and depression severities over and above what could be predicted from initial symptom levels. They also showed greater predictive power than the established predictors, although the latter showed similar effect sizes as in the meta-analysis. In addition, the predictors derived from cognitive models of PTSD and depression were disorder-specific. The results support the role of cognitive factors in the maintenance of emotional disorders following trauma. American Psychological Association 2008-04 /pmc/articles/PMC2672053/ /pubmed/18377119 http://dx.doi.org/10.1037/0022-006X.76.2.219 Text en © 2008 American Psychological Association. This article, manuscript, or document is copyrighted by the American Psychological Association (APA). For non-commercial, education and research purposes, users may access, download, copy, display, and redistribute this article or manuscript as well as adapt, translate, or data and text mine the content contained in this document. For any such use of this document, appropriate attribution or bibliographic citation must be given. Users should not delete any copyright notices or disclaimers. For more information or to obtain permission beyond that granted here, visit http://www.apa.org/about/copyright.html. |
spellingShingle | PTSD/Trauma Ehring, Thomas Ehlers, Anke Glucksman, Edward Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title | Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title_full | Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title_fullStr | Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title_full_unstemmed | Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title_short | Do Cognitive Models Help in Predicting the Severity of Posttraumatic Stress Disorder, Phobia, and Depression After Motor Vehicle Accidents? A Prospective Longitudinal Study |
title_sort | do cognitive models help in predicting the severity of posttraumatic stress disorder, phobia, and depression after motor vehicle accidents? a prospective longitudinal study |
topic | PTSD/Trauma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672053/ https://www.ncbi.nlm.nih.gov/pubmed/18377119 http://dx.doi.org/10.1037/0022-006X.76.2.219 |
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