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Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel
Neurocognitive computerized assessment tools (NCATs) were developed to assist military clinicians with the tracking of recovery from injury and return to full duty decisions with a recent focus on the setting of post-concussion evaluations. However, there is limited data on the impact of deployment...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610493/ https://www.ncbi.nlm.nih.gov/pubmed/31316453 http://dx.doi.org/10.3389/fneur.2019.00674 |
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author | Haran, F. J. Schumacher, Patrick Markwald, Rachel Handy, Justin D. Tsao, Jack W. |
author_facet | Haran, F. J. Schumacher, Patrick Markwald, Rachel Handy, Justin D. Tsao, Jack W. |
author_sort | Haran, F. J. |
collection | PubMed |
description | Neurocognitive computerized assessment tools (NCATs) were developed to assist military clinicians with the tracking of recovery from injury and return to full duty decisions with a recent focus on the setting of post-concussion evaluations. However, there is limited data on the impact of deployment on neurocognitive functioning, sleepiness, and mood in healthy, non-concussed Service members. Automated Neuropsychological Assessment Metrics version 4 TBI Military (ANAM) data was obtained for a sample of active duty deployed personnel (n = 72) without recent history of mild traumatic brain injury (mTBI). A linear regression was conducted to examine the effects of sleepiness and mood state on neurocognitive performance. The overall multivariate regression was statistically significant. Negative mood states were the most salient predictors of neurocognitive performance with higher levels of endorsement associated with lower scores. The findings support measures of negative mood state, but not sleepiness, as relevant predictors of neurocognitive performance as measured by the ANAM. These results indicate that mood needs to be considered when reviewing neurocognitive data to ensure that appropriate clinical decisions are made; in particular for return-to-duty decisions in deployed settings after concussion recovery. |
format | Online Article Text |
id | pubmed-6610493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66104932019-07-17 Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel Haran, F. J. Schumacher, Patrick Markwald, Rachel Handy, Justin D. Tsao, Jack W. Front Neurol Neurology Neurocognitive computerized assessment tools (NCATs) were developed to assist military clinicians with the tracking of recovery from injury and return to full duty decisions with a recent focus on the setting of post-concussion evaluations. However, there is limited data on the impact of deployment on neurocognitive functioning, sleepiness, and mood in healthy, non-concussed Service members. Automated Neuropsychological Assessment Metrics version 4 TBI Military (ANAM) data was obtained for a sample of active duty deployed personnel (n = 72) without recent history of mild traumatic brain injury (mTBI). A linear regression was conducted to examine the effects of sleepiness and mood state on neurocognitive performance. The overall multivariate regression was statistically significant. Negative mood states were the most salient predictors of neurocognitive performance with higher levels of endorsement associated with lower scores. The findings support measures of negative mood state, but not sleepiness, as relevant predictors of neurocognitive performance as measured by the ANAM. These results indicate that mood needs to be considered when reviewing neurocognitive data to ensure that appropriate clinical decisions are made; in particular for return-to-duty decisions in deployed settings after concussion recovery. Frontiers Media S.A. 2019-06-27 /pmc/articles/PMC6610493/ /pubmed/31316453 http://dx.doi.org/10.3389/fneur.2019.00674 Text en At least a portion of this work is authored by F. J. Haran, Rachel Markwald and Jack W. Tsao on behalf of the U.S. Government and, as regards Dr. Haran, Dr. Markwald, Dr. Tsao and the U.S. Government, is not subject to copyright protection in the United States. Foreign and other copyrights may apply. 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 | Neurology Haran, F. J. Schumacher, Patrick Markwald, Rachel Handy, Justin D. Tsao, Jack W. Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title | Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title_full | Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title_fullStr | Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title_full_unstemmed | Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title_short | Relationships Between Sleepiness, Mood, and Neurocognitive Performance in Military Personnel |
title_sort | relationships between sleepiness, mood, and neurocognitive performance in military personnel |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610493/ https://www.ncbi.nlm.nih.gov/pubmed/31316453 http://dx.doi.org/10.3389/fneur.2019.00674 |
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