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61
Do injury characteristics predict the severity of acute neuropsychological deficits following sports-related concussion? A meta-analysis
Dougan, Brooker K.; Horswill, Mark S.; Geffen, Gina M.. - : Cambridge University Press, 2014
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62
Effect of referential speech steps in discourse construction in patients with severe traumatic brain injury.
In: EISSN: 1877-0428 ; Procedia - Social and Behavioral Sciences ; https://hal.archives-ouvertes.fr/hal-01486707 ; Procedia - Social and Behavioral Sciences, Elsevier, 2013, 51st Conference of the Academy-of-Aphasia Oct 2013 Lucerne, 94, pp.151-152. ⟨10.1016/j.sbspro.2013.09.074⟩ (2013)
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63
TBIBank Togher Corpus
Togher, Leanne. - : TalkBank, 2013
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64
The use of the Communication Checklist - Adult (CC-A) for assessing the communication abilities of individuals post traumatic brain injury
In: Theses : Honours (2013)
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65
Vestibular Assessment and Treatment on TBI
In: ETSU Faculty Works (2013)
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66
Vestibular-Related Traumatic Brain Injury: A Preliminary Voxel-Based Morphometry Analysis
In: ETSU Faculty Works (2013)
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67
Diagnosis and Treatment of Vestibular Disorders in mTBI
In: ETSU Faculty Works (2013)
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68
Applying empirical methods in clinical practice : introducing the model for assessing treatment effect
Tate, Robyn; Taylor, Christine; Aird, Vanessa. - : Lippincott Williams & Wilkins, 2013
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69
Fatigue in adults with traumatic brain injury: predictors and consequences. A systematic review of longitudinal study protocols
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70
School-based speech-language pathologists and concussion : training, knowledge, and experience
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71
Childhood traumatic brain injury: long-term outcomes in language competence, neurolinguistic processing efficiency and neurostructural language connectivity
Knuepffer, Christina. - : The University of Queensland, School of Health & Rehabilitation Sciences, 2013
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72
Effect of speech loudness manipulations on articulatory dynamics in severe traumatic brain injury
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73
Self-care narratives by people with a traumatic brain injury
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74
Script-event representation in patients with severe traumatic brain injury
In: ISSN: 0010-9452 ; Cortex ; https://hal.univ-angers.fr/hal-03355528 ; Cortex, Elsevier, 2012, 48 (9), pp.1155-1164. ⟨10.1016/j.cortex.2011.05.016⟩ (2012)
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75
Military On-Line Problem Solving Intervention (MOPS-VI)
In: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1331631831 (2012)
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76
School Speech-Language Pathologist's Comfort Working with Traumatic Brain Injury / Acquired Cognitive Disorders
In: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1333050789 (2012)
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77
Mild Traumatic Brain Injury and Associated Effects on the Auditory System
In: ETSU Faculty Works (2012)
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78
Vestibular Consequences of Mild Traumatic Brain Injury and Blast Exposure
In: ETSU Faculty Works (2012)
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79
'Planning' talk and traumatic brain injury : an exploratory application of conversation analysis
Barnes, Scott Edward. - : Equinox Publishing, 2012
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80
The Effect of Armed Forces Qualification Test Score on Mental Health Outcome Following Mild Traumatic Brain Injury
In: DTIC (2012)
Abstract: Various studies in both military and nonmilitary samples have identified intelligence as a correlate of psychological outcomes. Higher intelligence scores are protective against the development of psychological disorders and may also protect against brain injury-related cognitive decline. The objective of this study was to assess the relationship between preinjury intelligence and mental health outcomes among combat veterans with mild traumatic brain injury (MTBI). Military personnel injured in Iraq between 2004 and 2007 were identified from theater clinical records and grouped into MTBI (n = 1069) and non-MTBI (n = 1911). Preinjury intelligence was assessed using the Armed Forces Qualification Test (AFQT) score. A retrospective review was conducted to identify those with postinjury mental health disorders (ICD-9-CM codes 290-319). Those with MTBI had higher overall rates of mental health disorder compared with non-MTBI. In the MTBI group, AFQT score was lower among those with a mental health diagnosis after adjusting for covariates (adjusted mean AFQT 54.1 vs. 57.9, p 0.01). A similar association was not found in the non-MTBI group. Additional research should explore the utility of using preinjury intelligence to identify high-risk MTBI sub-groups.
Keyword: *TRAUMATIC BRAIN INJURIES; AFQT(ARMED FORCES QUALIFICATION TEST); APTITUDE TESTS; INTELLIGENCE(HUMANS); MENTAL DISORDERS; MENTAL HEALTH; MILITARY PERSONNEL; MTBI(MILD TRAUMATIC BRAIN INJURY); Psychology; Weapons Effects(biological); WU60808
URL: http://www.dtic.mil/docs/citations/ADA561543
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA561543
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