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Objective: To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups. Setting: Community. Participants: Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity. Design: Secondary analysis of cross-sectional data. Main Measures: The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse. Results: Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles (P < .001) for all domains except Fatigue (P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI. Conclusions: We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes. [ABSTRACT FROM AUTHOR]

To determine how life satisfaction changes across the first 10 years following traumatic brain injury (TBI). Participants included 1,941 individuals from the TBI Model Systems database with life satisfaction data at 1-, 5-, and 10-years post-TBI. Based on Satisfaction With Life Scale scores, individuals were characterized as having one of the five 10-year life satisfaction trajectories: 'Stable High,' 'Stable Low,' 'Increased to High,' 'Decreased to Low,' and 'Unstable.' These were analyzed for group differences in demographics and psychosocial and functional outcomes. Sixty percent participants had 'Stable High' or 'Increasing to High' trajectories. Approximately 25% had "Stable Low' or 'Decreasing to Low' trajectories, and approximately 15% had unstable trajectories. Higher life satisfaction trajectories were associated with the best psychosocial and functional outcomes whereas lower trajectories were associated with the worst psychosocial and functional outcomes. Trajectories were indistinguishable based on demographics. Life satisfaction over the first 10 years following TBI is dynamic, with most individuals reporting high life satisfaction by 10 years post-TBI. Examination of psychosocial and functional factors related to life satisfaction trajectories may inform community-based intervention recommendations, resources, and supports to maximize long-term satisfaction with life. [ABSTRACT FROM AUTHOR]

Purpose. To characterize societal participation profiles after moderate-severe traumatic brain injury (TBI) along objective (Frequency) and subjective (Satisfaction, Importance, Enfranchisement) dimensions. Materials and Methods. We conducted secondary analyses of a TBI Model Systems sub-study (N = 408). Multiaxial assessment of participation included the Participation Assessment with Recombined Tools-Objective and -Subjective questionnaires (Participation Frequency and Importance/Satisfaction, respectively) and the Enfranchisement Scale. Participants provided responses via telephone interview 1–15 years post-injury. Multidimensional participation profiles (classes) were extracted using latent profile analysis. Results. A 4-class solution was identified as providing maximal statistical separation between profiles and being clinically meaningful based on profile demographic features. One profile group (48.5% of the sample) exhibited the "best" participation profile (High Frequency, Satisfaction, Importance, and Enfranchisement) and was also the most advantaged according to socioeconomic indicators. Other profile groups showed appreciable heterogeneity across participation dimensions. Age, race/ethnicity, education level, ability to drive, and urbanicity were features that varied between profiles. Conclusions. Societal participation is a critical, but inherently complex, TBI outcome that may not be adequately captured by a single index. Our data underscore the importance of a multidimensional approach to participation assessment and interpretation using profiles. The use of participation profiles may promote precision health interventions for community integration. Our study found unidimensional measures of societal participation in traumatic brain injury (TBI) populations that focus exclusively on frequency indicators may be overly simplistic and miss key subjective components of participation Taking a multidimensional perspective, we documented four meaningfully distinct participation subgroups (including both objective and subjective dimensions of societal participation) within the TBI rehabilitation population Multidimensional profiles of participation may be used to group individuals with TBI into target groups for intervention (e.g., deeper goal assessment for individuals who do not rate standard participation activities as important, but also do not participate and do not feel enfranchised). [ABSTRACT FROM AUTHOR]

Objective: This study investigates the association of nightmares beyond general sleep disturbance on neurobehavioral symptoms in adults with mild traumatic brain injury (mTBI). Design: Secondary analysis of a concussion cohort study. Participants: One hundred and eleven adults older than 20 years with mTBI were recruited from a specialized concussion treatment center. Main Measures: Behavioral Assessment Screening Tool, Pittsburgh Sleep Quality Index, and self-report of nightmare frequency in the past 2 weeks. Results: Among adults with mTBI, nightmares accounted for the greatest amount of variability in negative affect (β =.362, P <.001), anxiety (β =.332, P <.001), and impulsivity (β =.270, P <.001) after adjusting for age and sex. Overall sleep disturbance had the strongest association with depression (β =.493, P <.001), fatigue (β =.449, P <.001), self-reported executive dysfunction (β =.376, P <.001), and overall burden from concussive symptoms (β =.477, P <.001). Conclusions: Nightmares and sleep disturbance are differentially associated with variance in neurobehavioral symptoms. Nightmares were independently associated with neurobehavioral symptoms representing an excess of normal functioning (eg, anxiety, impulsivity), while general sleep disturbance was associated with neurobehavioral symptoms representing functioning below normal levels (eg, depression, fatigue, self-reported executive dysfunction). Clinical and research implications are discussed. [ABSTRACT FROM AUTHOR]

Objective: This study compared rates of suicide attempt (SA) and suicidal ideation (SI) during the first 5 years after traumatic brain injury (TBI) among veterans and service members (V/SMs) in the Veterans Affairs (VA) and the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) Model Systems National Databases to each other and to non-veterans (non-Vs) in the NIDILRR database. Setting: Twenty-one NIDILRR and 5 VA TBI Model Systems (TBIMS) inpatient rehabilitation facilities in the United States. Participants: Participants with TBI were discharged from rehabilitation alive, had a known military status recorded (either non-V or history of military service), and successful 1-, 2-, and/or 5-year follow-up interviews completed between 2009 and 2021. The year 1 cohort included 8737 unique participants (8347 with SA data and 3987 with SI data); the year 2 (7628 participants) and year 5 (4837 participants) cohorts both had similar demographic characteristics to the year 1 cohort. Design: Longitudinal design with data collected across TBIMS centers at 1, 2, and 5 years post-injury. Main Outcomes and Measures: History of SA in past year and SI in past 2 weeks assessed by the Patient Health Questionnaire-9 (PHQ-9). Patient demographics, injury characteristics, and rehabilitation outcomes were also assessed. Results: Full sample rates of SA were 1.9%, 1.5%, and 1.6%, and rates of SI were 9.6%, 10.1%, and 8.7% (respectively at years 1, 2, and 5). There were significant differences among groups based on demographic, injury-related, mental/behavioral health, and functional outcome variables. Characteristics predicting SA/SI related to mental health history, substance use, younger age, lower functional independence, and greater levels of disability. Conclusions: Compared with participants with TBI in the NIDILRR system, higher rates of SI among V/SMs with TBI in the VA system appear associated with risk factors observed within this group, including mental/behavioral health characteristics and overall levels of disability. [ABSTRACT FROM AUTHOR]

Objective: To examine the associations between health literacy and health outcomes among individuals with traumatic brain injury (TBI) at least a year post-injury. Setting: Community following discharge from inpatient rehabilitation. Participants: A total of 205 individuals with complicated mild to severe TBI who completed a TBI Model Systems National Database follow-up interview and a web-based health literacy measure. Design: A multicenter, cross-sectional, observational study. Main Measures: The Health Literacy Assessment Using Talking Touchscreen Technology (Health LiTD, number of comorbid conditions (Medical and Mental Health Comorbidities Interview [MMHCI]), perceived physical and mental health (PROMIS Global Physical and Mental Health subscales), Patient Health Qpestionnaire-9 (PHQ:9), and Generalized Anxiety Disorder-7 (GAD-7). Results: After controlling for sociodemographic, injury, cognition, and time post-injury, adequate health literacy was associated with higher odds of greater perceived physical health compared with participants with marginal/inadequate health literacy (odds ratio = 4.10; CI = 1.52-11.70]. Participants with inadequate/marginal health literacy had 3.50 times greater odds of depression (PHQ:9 2 10) compared with those with adequate health literacy. Participants 45 years and older reported a greater number of MMHCI physical health conditions, but fewer MMHCI mental health conditions and GAD-7 anxiety symptoms compared with those who were younger. Non-Hispanic White participants and those with mild/moderate TBI were more likely to report a greater number of MMHCI mental health conditions compared with non-Hispanic Black participants or those with severe TBI. Greater time post-injury was associated with greater number of chronic physical and mental health conditions, and less odds of good-to-excellent perceived global mental health. Conclusions: Inadequate health literacy is associated with worse perceived physical health and greater depressive symptoms among adults with TBI. Greater efforts are needed to explore the mechanisms by which health literacy influences chronic disease management and mental health after TBI to improve postinjury health status and outcomes, particularly among those with limited health literacy skills. [ABSTRACT FROM AUTHOR]

With mobile health technologies serving as an alternative means of providing healthcare, evaluating patients' abilities to navigate digital infrastructures is becoming increasingly relevant. The goal of this study is to investigate smartphone use patterns among individuals with history of moderate-to-severe traumatic brain injury (TBI). An anonymous survey was delivered via e-mail or text message to eligible participants who had a history of moderate-to-severe TBI and were prospectively followed at one of the eight participating Traumatic Brain Injury Model Systems centers for at least 1-year post-injury. The survey captured demographic data and included a questionnaire to evaluate smartphone use (calling, texting, web browsing, etc.). A total of 2665 eligible individuals were contacted to complete the survey, 472 of which responded. 441 of them reported smartphone use. Individuals ages 45 and older were significantly less likely to use their phones for functions other than calling and texting when compared to individuals ages 18–44 (p < 0.05). Most individuals with moderate-to-severe TBI in this cohort demonstrated intentional smartphone use, suggesting that mobile health technologies may be feasible as a cost-effective healthcare alternative. However, doing so will require additional interventions to provide further technological education especially in older individuals with TBI. [ABSTRACT FROM AUTHOR]

Objective: To identify demographic, injury-related, and 1-year postinjury clinical and functional predictors of high and low life satisfaction at 10 years after moderate to severe traumatic brain injury (TBI) using an extreme phenotyping approach. Setting: Multicenter longitudinal database study. Participants: A total of 3040 people from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Model Systems database with life satisfaction data at 10 years post-TBI. Design: Multicenter, cross-sectional, observational design. Main Measures: Satisfaction With Life Scale (outcome), Glasgow Coma Scale, Disability Rating Scale, Functional Independence Measure, Participation Assessment with Recombined Tools-Objective, Patient Health Questionnaire-9, and General Anxiety Disorder-7 (standardized predictors). Results: Greater cognitive and motor independence, more frequent community participation, and less depressive symptoms 1 year post-moderate to severe TBI predicted extreme high life satisfaction 10 years later. Non-Hispanic White and Hispanic individuals were significantly more likely than Black individuals to have extreme high life satisfaction 10 years post-TBI. Conclusions: Extreme phenotyping analysis complements existing knowledge regarding life satisfaction post-moderate to severe TBI. From a chronic disease management perspective, future studies are needed to examine the feasibility and impact of early postinjury medical and rehabilitative interventions targeting cognitive and motor function, community participation, and mood on the maintenance/enhancement of long-term life satisfaction post-TBI. [ABSTRACT FROM AUTHOR]