A prediction model of military combat and training exposures on VA service-connected disability: a CENC study. (6th December 2019)
- Record Type:
- Journal Article
- Title:
- A prediction model of military combat and training exposures on VA service-connected disability: a CENC study. (6th December 2019)
- Main Title:
- A prediction model of military combat and training exposures on VA service-connected disability: a CENC study
- Authors:
- Eggleston, B
Dismuke-Greer, CE
Pogoda, TK
Denning, JH
Eapen, BC
Carlson, KF
Bhatnagar, S
Nakase-Richardson, R
Troyanskaya, M
Nolen, T
Walker, WC - Abstract:
- ABSTRACT: Background : Research has shown that number of and blast-related Traumatic Brain Injuries (TBI) are associated with higher levels of service-connected disability (SCD) among US veterans. This study builds and tests a prediction model of SCD based on combat and training exposures experienced during active military service. Methods : Based on 492 US service member and veteran data collected at four Department of Veterans Affairs (VA) sites, traditional and Machine Learning algorithms were used to identify a best set of predictors and model type for predicting %SCD ≥50, the cut-point that allows for veteran access to 0% co-pay for VA health-care services. Results : The final model of predicting %SCD ≥50 in veterans revealed that the best blast/injury exposure-related predictors while deployed or non-deployed were: 1) number of controlled detonations experienced, 2) total number of blast exposures (including controlled and uncontrolled), and 3) the total number of uncontrolled blast and impact exposures. Conclusions and Relevance : We found that the highest blast/injury exposure predictor of %SCD ≥50 was number of controlled detonations, followed by total blasts, controlled or uncontrolled, and occurring in deployment or non-deployment settings. Further research confirming repetitive controlled blast exposure as a mechanism of chronic brain insult should be considered.
- Is Part Of:
- Brain injury. Volume 33:Number 13/14(2019)
- Journal:
- Brain injury
- Issue:
- Volume 33:Number 13/14(2019)
- Issue Display:
- Volume 33, Issue 13 (2019)
- Year:
- 2019
- Volume:
- 33
- Issue:
- 13
- Issue Sort Value:
- 2019-0033-0013-0000
- Page Start:
- 1602
- Page End:
- 1614
- Publication Date:
- 2019-12-06
- Subjects:
- Prediction -- disability -- potential concussive event -- military -- veteran -- concussion and traumatic brain injury
Brain damage -- Periodicals
Brain -- Wounds and injuries -- Periodicals
Brain Injuries -- Periodicals
617.481 - Journal URLs:
- http://informahealthcare.com/loi/bij ↗
http://www.tandf.co.uk/journals/alphalist.html ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/02699052.2019.1655793 ↗
- Languages:
- English
- ISSNs:
- 0269-9052
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2268.132000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12746.xml