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Predictors of psychiatric disorders in combat veterans
BACKGROUND: Most previous research that has examined mental health among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) combatants has relied on self-report measures to assess mental health outcomes; few studies have examined predictors of actual mental health diagnoses. The object...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651311/ https://www.ncbi.nlm.nih.gov/pubmed/23651663 http://dx.doi.org/10.1186/1471-244X-13-130 |
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author | Booth-Kewley, Stephanie Schmied, Emily A Highfill-McRoy, Robyn M Larson, Gerald E Garland, Cedric F Ziajko, Lauretta A |
author_facet | Booth-Kewley, Stephanie Schmied, Emily A Highfill-McRoy, Robyn M Larson, Gerald E Garland, Cedric F Ziajko, Lauretta A |
author_sort | Booth-Kewley, Stephanie |
collection | PubMed |
description | BACKGROUND: Most previous research that has examined mental health among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) combatants has relied on self-report measures to assess mental health outcomes; few studies have examined predictors of actual mental health diagnoses. The objective of this longitudinal investigation was to identify predictors of psychiatric disorders among Marines who deployed to combat in Iraq and Afghanistan. METHODS: The study sample consisted of 1113 Marines who had deployed to Iraq or Afghanistan. Demographic and psychosocial predictor variables from a survey that all Marines in the sample had completed were studied in relation to subsequent psychiatric diagnoses. Univariate and multivariate logistic regression were used to determine the influence of the predictors on the occurrence of psychiatric disorders. RESULTS: In a sample of Marines with no previous psychiatric disorder diagnoses, 18% were diagnosed with a new-onset psychiatric disorder. Adjusting for other variables, the strongest predictors of overall psychiatric disorders were female gender, mild traumatic brain injury symptoms, and satisfaction with leadership. Service members who expressed greater satisfaction with leadership were about half as likely to develop a mental disorder as those who were not satisfied. Unique predictors of specific types of mental disorders were also identified. CONCLUSIONS: Overall, the study’s most relevant result was that two potentially modifiable factors, low satisfaction with leadership and low organizational commitment, predicted mental disorder diagnoses in a military sample. Additional research should aim to clarify the nature and impact of these factors on combatant mental health. |
format | Online Article Text |
id | pubmed-3651311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36513112013-05-11 Predictors of psychiatric disorders in combat veterans Booth-Kewley, Stephanie Schmied, Emily A Highfill-McRoy, Robyn M Larson, Gerald E Garland, Cedric F Ziajko, Lauretta A BMC Psychiatry Research Article BACKGROUND: Most previous research that has examined mental health among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) combatants has relied on self-report measures to assess mental health outcomes; few studies have examined predictors of actual mental health diagnoses. The objective of this longitudinal investigation was to identify predictors of psychiatric disorders among Marines who deployed to combat in Iraq and Afghanistan. METHODS: The study sample consisted of 1113 Marines who had deployed to Iraq or Afghanistan. Demographic and psychosocial predictor variables from a survey that all Marines in the sample had completed were studied in relation to subsequent psychiatric diagnoses. Univariate and multivariate logistic regression were used to determine the influence of the predictors on the occurrence of psychiatric disorders. RESULTS: In a sample of Marines with no previous psychiatric disorder diagnoses, 18% were diagnosed with a new-onset psychiatric disorder. Adjusting for other variables, the strongest predictors of overall psychiatric disorders were female gender, mild traumatic brain injury symptoms, and satisfaction with leadership. Service members who expressed greater satisfaction with leadership were about half as likely to develop a mental disorder as those who were not satisfied. Unique predictors of specific types of mental disorders were also identified. CONCLUSIONS: Overall, the study’s most relevant result was that two potentially modifiable factors, low satisfaction with leadership and low organizational commitment, predicted mental disorder diagnoses in a military sample. Additional research should aim to clarify the nature and impact of these factors on combatant mental health. BioMed Central 2013-05-07 /pmc/articles/PMC3651311/ /pubmed/23651663 http://dx.doi.org/10.1186/1471-244X-13-130 Text en Copyright © 2013 Booth-Kewley et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Booth-Kewley, Stephanie Schmied, Emily A Highfill-McRoy, Robyn M Larson, Gerald E Garland, Cedric F Ziajko, Lauretta A Predictors of psychiatric disorders in combat veterans |
title | Predictors of psychiatric disorders in combat veterans |
title_full | Predictors of psychiatric disorders in combat veterans |
title_fullStr | Predictors of psychiatric disorders in combat veterans |
title_full_unstemmed | Predictors of psychiatric disorders in combat veterans |
title_short | Predictors of psychiatric disorders in combat veterans |
title_sort | predictors of psychiatric disorders in combat veterans |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651311/ https://www.ncbi.nlm.nih.gov/pubmed/23651663 http://dx.doi.org/10.1186/1471-244X-13-130 |
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