scholarly journals P111 Sleep disturbances are associated with poor neurobehavioural outcomes following traumatic brain injury: A study of military service members and veterans

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A57-A57
Author(s):  
C Pattinson ◽  
T Brickell ◽  
J Bailie ◽  
L Hungerford ◽  
S Lippa ◽  
...  

Abstract Introduction Sleep disturbances are pervasively reported in military service members and veterans, especially following traumatic brain injury (TBI). The purpose of this study was to examine the association between sleep disturbances and neurobehavioural outcomes in a large group of U.S. military service members and veterans, with and without a history of TBI. Methods Participants were enrolled into the Defense and Veterans Brain Injury Center/Traumatic Brain Injury Center of Excellence, 15-Year Longitudinal TBI study (N = 606). Participants self-reported sleep disturbances (PROMIS 8A) and neurobehavioral symptoms. Data were analyzed using analysis of variance with post-hoc comparisons. Four groups were analyzed separately: uncomplicated mild TBI (MTBI; n=218); complicated mild, moderate, severe, or penetrating - combined TBI (CTBI; n=118); injured controls (IC, i.e., orthopedic or soft-tissue injury without TBI; n=162); and non-injured controls (NIC; n=108). Results Participants in the MTBI group reported the highest proportion of moderate-severe sleep disturbances (66.5%) compared to the IC (54.9%), CTBI (47.5%), and NIC groups (34.3%). Participants classified as having Poor Sleep reported significantly worse scores on almost all TBI-QOL scales compared to those classified as having Good Sleep, regardless of TBI severity or even the presence of TBI (ps<.05, Cohen’s ds>.3). Discussion This study demonstrates that sleep disturbances remain a prevalent and debilitating concern in service member and veteran populations. Regardless of group (injured or NIC), sleep disturbances were common and were associated with significantly worse neurobehavioral functioning. When assessing and treating neurobehavioural symptoms, it is important to assess sleep, especially in service member and veteran populations.

10.2196/14170 ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. e14170
Author(s):  
Christine Melillo ◽  
Kiersten Downs ◽  
Christina Dillahunt-Aspillaga ◽  
Jason Lind ◽  
Karen Besterman-Dahan ◽  
...  

Background Numerous studies of community reintegration (CR) in traumatic brain injury (TBI) have been conducted in civilian populations, but research is limited in veteran and military service member populations. Little is known about how knowledge from civilian studies translates into veterans’ experiences and needs. The US Department of Veterans Health Administration (VHA) recognizes the distinctive health care needs of post-9/11 veteran and military service members, particularly with TBI, including the need to bridge health and rehabilitation-related services from acute care and inpatient settings to veteran and military service members’ homes and communities to facilitate CR. Objective The goal of this study is to better understand the experiences of veterans with complicated mild, moderate, or severe TBI; their families; and CR workers as veterans and servicemembers transition to and sustain living in communities. This paper describes the rationale, design, and methods used to reach this goal. Methods This five-year longitudinal mixed methods study uses both a community-engaged research (CEnR) approach and an ethnographic approach. The sample includes 30 veterans and service members with TBI, 13 family caregivers, 11 CR specialists, 16 key stakeholders, and 82 community events. Interviews and observations are coded and analyzed using hierarchical coding schemes and thematic analysis. Analyses include data from surveys, interviews, and participant observations. Content analysis is used to highlight the complex social context of reintegration and to triangulate quantitative data. Egocentric (personal) social network analysis is used to examine the support system a veteran or service member has in place to facilitate reintegration. Results Study enrollment and data collection are completed. Data analyses are underway. Conclusions The results of this study may provide a heightened understanding of environmental factors affecting CR in complicated mild, moderate, or severe TBI. Veteran, servicemember and family voices and insights provide VHA clinicians and policy makers with an ecological view of CR that is grounded in the life experiences of veterans, military service members, and families. The results of this study provide a roadmap for designing and testing interventions to maximize CR in a variety of domains. The longitudinal ethnographic approach allows for capturing detailed experiences within the naturalistic context. CEnR allows collaborative assessment of the social context of reintegration with community members. International Registered Report Identifier (IRRID) DERR1-10.2196/14170


2019 ◽  
Author(s):  
Christine Melillo ◽  
Kiersten Downs ◽  
Christina Dillahunt-Aspillaga ◽  
Jason Lind ◽  
Karen Besterman-Dahan ◽  
...  

BACKGROUND Numerous studies of community reintegration (CR) in traumatic brain injury (TBI) have been conducted in civilian populations, but research is limited in veteran and military service member populations. Little is known about how knowledge from civilian studies translates into veterans’ experiences and needs. The US Department of Veterans Health Administration (VHA) recognizes the distinctive health care needs of post-9/11 veteran and military service members, particularly with TBI, including the need to bridge health and rehabilitation-related services from acute care and inpatient settings to veteran and military service members’ homes and communities to facilitate CR. OBJECTIVE The goal of this study is to better understand the experiences of veterans with complicated mild, moderate, or severe TBI; their families; and CR workers as veterans and servicemembers transition to and sustain living in communities. This paper describes the rationale, design, and methods used to reach this goal. METHODS This five-year longitudinal mixed methods study uses both a community-engaged research (CEnR) approach and an ethnographic approach. The sample includes 30 veterans and service members with TBI, 13 family caregivers, 11 CR specialists, 16 key stakeholders, and 82 community events. Interviews and observations are coded and analyzed using hierarchical coding schemes and thematic analysis. Analyses include data from surveys, interviews, and participant observations. Content analysis is used to highlight the complex social context of reintegration and to triangulate quantitative data. Egocentric (personal) social network analysis is used to examine the support system a veteran or service member has in place to facilitate reintegration. RESULTS Study enrollment and data collection are completed. Data analyses are underway. CONCLUSIONS The results of this study may provide a heightened understanding of environmental factors affecting CR in complicated mild, moderate, or severe TBI. Veteran, servicemember and family voices and insights provide VHA clinicians and policy makers with an ecological view of CR that is grounded in the life experiences of veterans, military service members, and families. The results of this study provide a roadmap for designing and testing interventions to maximize CR in a variety of domains. The longitudinal ethnographic approach allows for capturing detailed experiences within the naturalistic context. CEnR allows collaborative assessment of the social context of reintegration with community members. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/14170


2020 ◽  
Vol 35 (6) ◽  
pp. 910-910
Author(s):  
Lange R ◽  
French L ◽  
Bailie J ◽  
Hungerford L ◽  
Lippa S ◽  
...  

Abstract Objective To examine the relation between sleep disruption and neurobehavioral outcome following mild, moderate, and severe traumatic brain injury (TBI). Methods Participants were 509 U.S. military service members/veterans divided into four groups: uncomplicated mild TBI (n = 183; MTBI); complicated mild TBI and moderate–severe TBI (n = 96; STBI); injured controls (n = 138; IC); and non-injured controls (n = 92; NIC). Participants completed a 2-hour neurobehavioral test battery 12 or more months post-injury that included the PTSD Checklist and 13 scales from the TBI-Quality of Life (TBI-QOL). Using the TBI-QOL Sleep Disturbance scale, participants were classified into two ‘Sleep’ subgroups: Poor Sleep (55 T or higher) or Good Sleep (50 T or lower). Results A higher proportion of the MTBI group was classified as having Poor Sleep (79.2%) compared to the IC (64.5%) and STBI (58.3%) groups; and all were higher than the NIC group (40.2%). In each group separately, participants with Poor Sleep had significantly worse scores on all TBI-QOL scales compared to those with Good Sleep (all p’s < .001, d = .68 to d = 1.98). Participants with Poor Sleep consistently had worse TBI-QOL scores regardless of TBI severity or the presence/absence of TBI (all p’s < .05). Additionally, there was a significant interaction between Sleep and PTSD. Both factors combined resulted in worse outcome than either factor alone (p’s < .05). Conclusions Poor Sleep had a very strong influence on self-reported neurobehavioral outcome, and a greater influence on outcome than TBI severity or the presence/absence of TBI. Poor Sleep may be a useful ‘risk factor’ that can be used clinically to identify individuals in need of early intervention.


2020 ◽  
Vol 35 (6) ◽  
pp. 938-938
Author(s):  
Higa J ◽  
Lu L ◽  
Reid M ◽  
Khokhar B ◽  
Seegmiller R ◽  
...  

Abstract Objective Duty-limiting pain impacts military readiness. Conditions such as mild traumatic brain injury (mTBI), stress-related disorders (Acute Stress Disorder (ASD)/PTSD), depression, anxiety and sleep disturbance occur frequently among military service members and can be associated with pain-related time off from duty. The purpose of this study was to explore which of these conditions best predict time off duty. Method Time off duty was categorized into low (0–3 days), medium (3–30 days) and high (more than 30 days). After excluding participants undergoing a Medical Evaluation Board (MEB) or with potentially invalid symptom reporting, 364 military service members were included. An ordinal regression analysis was conducted with presence or absence of mTBI, ASD/PTSD, depression/anxiety and sleep disturbance as predictors. Results The regression model was significant (χ2 = 21.93, p < .001), with mTBI status and sleep disturbance emerging as significant predictors of pain-related time off duty. Those with a history of mTBI were five times more likely to miss duty days than those without mTBI (Odds Ratio (OR) = 5.09 [p = .04]). Presence of ongoing sleep disturbance conveyed two times the risk of more missed duty (OR = 2.09 [p = .04]). Conclusion This suggests that treating mTBI and sleep disturbances in military service members can reduce pain-related absenteeism and consequently improve military readiness.


2017 ◽  
Vol 32 (3) ◽  
pp. E1-E15 ◽  
Author(s):  
Douglas B. Cooper ◽  
Amy O. Bowles ◽  
Jan E. Kennedy ◽  
Glenn Curtiss ◽  
Louis M. French ◽  
...  

2018 ◽  
Vol 35 (10) ◽  
pp. 1146-1155 ◽  
Author(s):  
Matthew W. Reid ◽  
Douglas B. Cooper ◽  
Lisa H. Lu ◽  
Grant L. Iverson ◽  
Jan E. Kennedy

2020 ◽  
Vol 35 (6) ◽  
pp. 909-909
Author(s):  
Lippa S ◽  
Bailie J ◽  
Brickell T ◽  
French L ◽  
Hungerford L ◽  
...  

Abstract Objective Recovery following traumatic brain injury (TBI) is complex. Often following mild TBI, recovery occurs within days or weeks, though this is not always the case. Following more severe TBI, some recover quickly, while many never fully recover. This study examines acute predictors of chronic neurobehavioral symptoms in U.S. military service members (Age: M = 33.9 years, SD = 10.2) without injury (n = 86), or with history of uncomplicated mild traumatic brain injury (TBI; n = 56), complicated mild, moderate, or severe TBI (mod-sev TBI; n = 43), or bodily injury (n = 25). Method Participants completed the Neurobehavioral Symptom Inventory (NSI), Posttraumatic Stress Disorder Checklist, Alcohol Use Disorder Checklist, Combat Exposure Scale, and TBI Quality of Life and passed symptom validity tests at 0–8 months and ≥ 2 years post-injury. Forward stepwise logistic regression included 26 potential predictors (demographics, injury characteristics, military characteristics, and self-report measures at baseline) of International Statistical Classification of Diseases and Related Health Problems-10 Postconcussional Syndrome (PCSy) at follow-up. Results Cognitive Concerns (Exp(B) = .896, p = .001), Sleep (Exp(B) = 1.874, p < .001), Somatosensory Symptoms (Exp(B) = 1.194, p = .012), and mod-sev TBI (Exp(B) = 2.959, p = .045) significantly predicted follow-up PCSy. When baseline NSI symptoms were removed from the model, Cognitive Concerns (Exp(B) = .902, p < .001), Post-traumatic stress (Exp(B) = 1.173, p = .001), and Resilience (Exp(B) = .950, p < .031) significantly predicted PCSy. For all included measures in both models, higher symptoms at baseline predicted increased likelihood of follow-up PCSy. Both models correctly classified 81.3% of participants. Conclusion Findings suggest patients reporting psychological distress and cognitive concerns acutely should be targeted for treatment to mitigate prolonged neurobehavioral symptoms.


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