scholarly journals Depression in Men and Women One Year Following Traumatic Brain Injury (TBI): A TBI Model Systems Study

2017 ◽  
Vol 8 ◽  
Author(s):  
Sarah Lavoie ◽  
Samantha Sechrist ◽  
Nhung Quach ◽  
Reza Ehsanian ◽  
Thao Duong ◽  
...  
2021 ◽  
Author(s):  
Samuel James West

Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of posttraumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well-suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five VA polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.


2017 ◽  
Vol 13 (4) ◽  
pp. 226-234
Author(s):  
Cherryl Waerea-i-te-rangi Smith ◽  
Helena Rattray-Te Mana ◽  
Leonie Pihama ◽  
John Reid

International and New Zealand research states that high numbers of prisoners are suffering from traumatic brain injury (TBI). Within Aotearoa, research affirms that the total incidence of TBI is higher among Māori than any other ethnic group. Over 30,000 Māori men and women are being monitored by the Department of Corrections within any one year. Over 60% of those being monitored are Maori despite being only 17% of the New Zealand population. We undertook qualitative research with 23 Māori men who were released from prison. We found high rates of TBI, which were commonly untreated. This research highlights the urgent need for the Department of Corrections to screen and find ways to treat these men and to do so in culturally appropriate ways. It also points to the need for a much broader community and services awareness of the issue.


Author(s):  
Marc A. Silva ◽  
Jacob A. Finn ◽  
Christina Dillahunt-Aspillaga ◽  
Bridget A. Cotner ◽  
Lillian F. Stevens ◽  
...  

2021 ◽  
Vol 40 (1) ◽  
pp. 100804 ◽  
Author(s):  
Louis-Marie Paget ◽  
Mathieu Boutonnet ◽  
Jean-Denis Moyer ◽  
Nathalie Delhaye ◽  
Erwan D’Aranda ◽  
...  

PM&R ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 1046-1054 ◽  
Author(s):  
Stephanie J. Towns ◽  
Jamie Zeitzer ◽  
Joel Kamper ◽  
Erin Holcomb ◽  
Marc A. Silva ◽  
...  

2021 ◽  
Author(s):  
Amanda Garcia ◽  
Shannon R Miles ◽  
Tea Reljic ◽  
Marc A Silva ◽  
Kristen Dams-O’Connor ◽  
...  

ABSTRACT Introduction Special Operations Forces (SOF) personnel are at increased risk for traumatic brain injury (TBI), when compared with conventional forces (CF). Prior studies of TBI in military samples have not typically investigated SOF vs. CF as specific subgroups, despite documented differences in premorbid resilience and post-injury comorbidity burden. The aim of the current study was to compare SOF vs. CF on the presence of neurobehavioral symptoms after TBI, as well as factors influencing perception of symptom intensity. Materials and Methods This study conducted an analysis of the prospective veterans affairs (VA) TBI Model Systems Cohort, which includes service members and veterans (SM/V) who received inpatient rehabilitation for TBI at one of the five VA Polytrauma Rehabilitation Centers. Of those with known SOF status (N = 342), 129 participants identified as SOF (average age = 43 years, 98% male) and 213 identified as CF (average age = 38.7 years, 91% male). SOF vs. CF were compared on demographics, injury characteristics, and psychological and behavioral health symptoms. These variables were then used to predict neurobehavioral symptom severity in univariable and multivariable analyses. Results SOF personnel reported significantly greater posttraumatic stress disorder (PTSD) symptoms but less alcohol and drug use than the CF. SOF also reported greater neurobehavioral symptoms. When examining those with TBIs of all severities, SOF status was not associated with neurobehavioral symptom severity, while race, mechanism of TBI, and PTSD symptoms were. When examining only those with mTBI, SOF status was associated with lower neurobehavioral symptoms, while PTSD severity, white race, and certain mechanisms of injury were associated with greater neurobehavioral symptoms. Conclusions Among those receiving inpatient treatment for TBI, SOF SM/V reported higher neurobehavioral and symptom severity. PTSD was the strongest predictor of neurobehavioral symptoms and should be considered an important treatment target in both SOF and CF with co-morbid PTSD/TBI. A proactive human performance approach towards identification and treatment of psychological and neurobehavioral symptoms is recommended for SOF.


Brain Injury ◽  
1990 ◽  
Vol 4 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Jeffrey S. Kreutzer ◽  
Jennifer Harris

2019 ◽  
Vol 36 (4) ◽  
pp. 576-588 ◽  
Author(s):  
Benoit Mouzon ◽  
Corbin Bachmeier ◽  
Joseph Ojo ◽  
Christopher Acker ◽  
Scott Ferguson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document