Literature DB >> 24263177

The structure of postconcussion symptoms on the Neurobehavioral Symptom Inventory: a comparison of alternative models.

Rodney D Vanderploeg1, Marc A Silva, Jason R Soble, Glenn Curtiss, Heather G Belanger, Alison J Donnell, Steven G Scott.   

Abstract

OBJECTIVE: To evaluate and compare the existing Neurobehavioral Symptom Inventory factor structure models to determine which model provides the best overall fit for postconcussion symptoms and determine which model is useful across different samples (eg, with and without mild traumatic brain injury [TBI] history).
SETTING: N/A. PARTICIPANTS: A Florida National Guard sample (N = 3098) and a national Department of Veterans Affairs sample (N = 48,175).
DESIGN: Retrospective structural equation modeling was used to compare 16 alternative factor structure models. First, these 16 possible models were examined separately in both samples. Then, to determine whether the same factor structures applied across subsamples within these samples, the models were compared for those deployed and those not deployed in the Florida National Guard sample and between those with TBI confirmed on clinical evaluation and those who were determined not to have sustained a TBI within the Department of Veterans Affairs sample. MAIN MEASURES: Neurobehavioral Symptom Inventory.
RESULTS: A 4-factor model--vestibular, somatic, cognitive, and affective--had the best overall fit, after elimination of 2 items (ie, hearing problems and appetite disturbance), and was most applicable across samples.
CONCLUSIONS: These findings extend the findings of Meterko et al to other samples. Because findings were consistent across sample and subsamples, the current findings are applicable to both Department of Veteran Affairs and Department of Defense postdeployment medical evaluation settings.

Entities:  

Mesh:

Year:  2015        PMID: 24263177     DOI: 10.1097/HTR.0000000000000009

Source DB:  PubMed          Journal:  J Head Trauma Rehabil        ISSN: 0885-9701            Impact factor:   2.710


  14 in total

1.  Cross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury.

Authors:  Renato Polimanti; Chia-Yen Chen; Robert J Ursano; Steven G Heeringa; Sonia Jain; Ronald C Kessler; Matthew K Nock; Jordan W Smoller; Xiaoying Sun; Joel Gelernter; Murray B Stein
Journal:  J Neurotrauma       Date:  2016-08-25       Impact factor: 5.269

2.  PTSD as a Mediator in the Relationship Between Post-Concussive Symptoms and Pain Among OEF/OIF/OND Veterans.

Authors:  Kimberly M Avallone; Erin R Smith; Sean Ma; Sean Gargan; Katherine E Porter; Caitlin C Authier; Brian Martis; Israel Liberzon; Sheila A M Rauch
Journal:  Mil Med       Date:  2019-01-01       Impact factor: 1.437

3.  Meningeal blood-brain barrier disruption in acute traumatic brain injury.

Authors:  Lisa Christine Turtzo; Neekita Jikaria; Martin R Cota; Joshua P Williford; Victoria Uche; Tara Davis; Judy MacLaren; Anita D Moses; Gunjan Parikh; Marcelo A Castro; Dzung L Pham; John A Butman; Lawrence L Latour
Journal:  Brain Commun       Date:  2020-09-09

4.  Subjective cognitive and psychiatric well-being in U.S. Military Veterans screened for deployment-related traumatic brain injury: A Million Veteran Program Study.

Authors:  Shayna J Fink; Delaney K Davey; McKenna S Sakamoto; Catherine Chanfreau-Coffinier; Alexandra L Clark; Lisa Delano-Wood; Victoria C Merritt
Journal:  J Psychiatr Res       Date:  2022-04-21       Impact factor: 5.250

5.  Modeling the Structure of Acute Sport-Related Concussion Symptoms: A Bifactor Approach.

Authors:  Lindsay D Nelson; Mark D Kramer; Christopher J Patrick; Michael A McCrea
Journal:  J Int Neuropsychol Soc       Date:  2018-08-06       Impact factor: 2.892

6.  Bifactor Model of the Sport Concussion Assessment Tool Symptom Checklist: Replication and Invariance Across Time in the CARE Consortium Sample.

Authors:  Benjamin L Brett; Mark D Kramer; Michael A McCrea; Steven P Broglio; Thomas W McAllister; Lindsay D Nelson; Joseph B Hazzard; Louise A Kelly; Justus Ortega; Nicholas Port; Paul F Pasquina; Jonathan Jackson; Kenneth L Cameron; Megan N Houston; Joshua T Goldman; Christopher Giza; Thomas Buckley; James R Clugston; Julianne D Schmidt; Luis A Feigenbaum; James T Eckner; Christina L Master; Michael W Collins; Anthony P Kontos; Sara P D Chrisman; Stefan M Duma; Christopher M Miles; Adam Susmarski
Journal:  Am J Sports Med       Date:  2020-08-18       Impact factor: 6.202

7.  Dissociation of BDNF Val66Met polymorphism on neurocognitive functioning in military veterans with and without a history of remote mild traumatic brain injury.

Authors:  Victoria C Merritt; Alexandra L Clark; Nicole D Evangelista; Scott F Sorg; Dawn M Schiehser; Lisa Delano-Wood
Journal:  Clin Neuropsychol       Date:  2020-03-24       Impact factor: 3.535

8.  Characterization of Million Veteran Program (MVP) enrollees with Comprehensive Traumatic Brain Injury Evaluation (CTBIE) data: An analysis of neurobehavioral symptoms.

Authors:  Erin D Ozturk; Catherine Chanfreau-Coffinier; McKenna S Sakamoto; Lisa Delano-Wood; Victoria C Merritt
Journal:  J Psychiatr Res       Date:  2021-12-14       Impact factor: 5.250

9.  Comprehensive analysis of the predictors of neurobehavioral symptom reporting in veterans.

Authors:  Ryan J Andrews; Jennifer R Fonda; Laura K Levin; Regina E McGlinchey; William P Milberg
Journal:  Neurology       Date:  2018-07-27       Impact factor: 9.910

10.  White Matter Hyperintensities Are Not Related to Symptomatology or Cognitive Functioning in Service Members with a Remote History of Traumatic Brain Injury.

Authors:  Sara M Lippa; Kimbra Kenney; Gerard Riedy; John Ollinger
Journal:  Neurotrauma Rep       Date:  2021-06-09
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