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Objectives: To identify personal, clinical, and environmental factors associated with 4 previously identified distinct multidimensional participation profiles of individuals following traumatic brain injury (TBI)., Setting: Community., Participants: Participants ( n = 408) enrolled in the TBI Model Systems (TBIMS) Participation Module, all 1 year or more postinjury., Design: Secondary data analysis of cross-sectional data from participants in a multicenter TBIMS module study on participation conducted between May 2006 and September 2007. Participants provided responses to questionnaires via a telephone interview at their study follow-up (1, 2, 5, 10, or 15 years postinjury)., Main Measures: Participants provided responses to personal (eg, demographic), clinical (eg, function), environmental (eg, neighborhood type), and participation measures to create multidimensional participation profiles. Data from measures collected at the time of injury (preinjury questionnaire, injury characteristics) were also included. The primary outcome was assignment to one of 4 multidimensional participation profile groups based on participation frequency, importance, satisfaction, and enfranchisement. The measures used to develop the profiles were: Participation Assessment with Recombined Tools-Objective, Importance, and Satisfaction scores, each across 3 domains (Productivity, Social Relationships, Out and About in the Community) and the Enfranchisement Scale (contributing to one's community, feeling valued by the community, choice and control)., Results: Results of the multinomial regression analysis, with 4 distinct participation profile groups as the outcome, indicated that education, current employment, current illicit drug use, current driving status, community type, and FIM Cognitive at follow-up significantly distinguished participation profile groups. Findings suggest a trend toward differences in participation profile groups by race/Hispanic ethnicity., Conclusions: Understanding personal, clinical, and environmental factors associated with distinct participation outcome profiles following TBI may provide more personalized and nuanced guidance to inform rehabilitation intervention planning and/or ongoing clinical monitoring., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: Ecological momentary assessment (EMA) involves repeated collection of real-time self-report data, often multiple times per day, nearly always delivered electronically by smartphone. While EMA has shown promise for researching internal states, behaviors, and experiences in multiple populations, concerns remain regarding its feasibility in samples with cognitive impairments, like those associated with chronic moderate-to-severe traumatic brain injury (TBI)., Methods: This study examines adherence to a 7-week high-frequency (5x daily) EMA protocol in individuals with moderate-to-severe TBI, considering changes in response rate over time, as well as individual participant characteristics (memory function, education, injury severity, and age)., Results: In the sample of 39 participants, the average overall response rate was 65% (range: 5%-100%). Linear mixed-effects modeling revealed a small but statistically significant linear decay in response rate over 7 weeks of participation. Individual trajectories were variable, as evidenced by the significant effect of random slope. A better response rate was positively associated with greater educational attainment and better episodic memory function (statistical trend), whereas the effects of age and injury severity were not significant., Conclusions: These findings shed light on the potential of EMA in TBI studies but underscore the need for tailored strategies to address individual barriers to adherence.

Objective: Apathy and depression are both common after moderate to severe traumatic brain injury (TBI) and may be especially important to distinguish in older adults with TBI. The authors examined apathy and depression in relation to cognitive performance domains and their potentially unique contribution to psychosocial functioning in this patient population., Methods: A total of 106 participants (mean±SD age=64±8 years) with chronic moderate to severe TBI (≥1 year) completed questionnaires assessing severity of apathy (Frontal Systems Behavior Scale-apathy subscale) and depression (Geriatric Depression Scale-15) symptoms, health-related quality of life (HRQoL), and societal participation. Participants also completed neuropsychological tests of episodic memory, processing speed, and executive functioning., Results: Apathy symptom severity was significantly associated with all cognitive performances in correlations adjusted for the familywise error rate; a relationship with executive functioning remained after controlling for demographic and injury variables. Depression symptom severity was not significantly associated with cognition after statistical correction. Both symptomatologies uniquely contributed to HRQoL. Only depression symptoms contributed to societal participation. On the basis of clinical cutoffs, half the sample had neither depression nor apathy, approximately 25% met criteria for only apathy, and 25% had both apathy and depression. The combined presence of clinical depression and apathy was associated with worse HRQoL and societal participation., Conclusions: This is the first study to examine apathy and depression in relation to cognition and psychosocial functioning in an older sample with a history of TBI. Findings suggest that the two syndromes can be dissociated in clinically meaningful ways, which may help to refine psychiatric and behavioral interventions in this vulnerable population., Competing Interests: The authors report no financial relationships with commercial interests.

Objective: This study aimed to characterize the types and timing of repetitive head impact (RHI) exposures in individuals with moderate to severe traumatic brain injury (TBI) and to examine the effects of RHI exposures on mental health outcomes., Setting: TBI Model Systems National Database., Participants: 447 patients with moderate to severe TBI who reported RHI exposure between 2015 and 2022., Design: Secondary data analysis., Main Measures: RHI exposures reported on the Ohio State University TBI Identification Method (OSU TBI-ID) were characterized by exposure category, duration, and timing relative to the index TBI. Mental health outcomes were evaluated at the 5-year follow-up assessment using the Patient Health Questionnaire-9 (PHQ-9) for depression symptoms and the Generalized Anxiety Disorder-7 (GAD-7) for anxiety symptoms., Results: The majority of RHI exposures were sports-related (61.1%), followed by other causes (20.8%; including falls), repetitive violence/assault (18.8%), and military exposures (6.7%). Males predominantly reported sports and military exposures, while a larger proportion of females reported violence and falls. Sports exposures were most common before the index TBI, while exposures from falls and violence/abuse were most common after TBI. RHI exposures occurring after the index TBI were associated with higher levels of depression (β = 5.05; 95% CI, 1.59-8.50) and anxiety (β = 4.53; 95% CI, 1.02-8.05) symptoms than exposures before the index TBI., Conclusion: The findings emphasize the need to consider RHI exposures and their interaction with TBI when assessing mental health outcomes. Understanding the prevalence and challenges associated with RHI post-TBI can inform targeted interventions and improve the well-being of individuals with TBI. Preventive measures and ongoing care should be implemented to address the risks posed by RHI, particularly in individuals with prior TBI, especially surrounding fall and violence/abuse prevention., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI)., Setting: Community., Participants: People enrolled in the TBI Model Systems National Database (TBIMS NDB)., Design: Secondary analysis of a longitudinal cohort study., Main Measures: The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI., Results: A single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics., Conclusions: The TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To describe the incidence of self-reported COVID-19 history in a longitudinal cohort of individuals with complicated mild to severe traumatic brain injury (TBI) and describe demographic, injury and functional differences based on history of COVID-19 infection., Design: Individuals with complicated mild to severe TBI aged 16 or older at time of injury who were enrolled in the TBI Model Systems longitudinal cohort study, completed a baseline or follow-up interview between October 1, 2021-March 31, 2023, and provided information about COVID-19 history and timing of COVID-19 infection was collected., Results: Of the 3,627 individuals included in the analysis, 29.5% reported a history of COVID-19 infection. Those with reported COVID-19 history tended to be younger, not of a racial/ethnic minority background, and greater functional status at follow up based on the Glasgow Outcome Scale-Extended scale compared to those with no reported COVID-19 history (p < 0.05). Among those with COVID-19 history, 61.8% did not receive medical care, 27.6% received medical care but no hospitalization, and 10.5% were hospitalized. Of those hospitalized, 21.4% required ventilator use., Conclusion: Incidence of COVID-19 diagnosis and related hospitalization characteristics in persons with complicated mild to severe TBI was similar to national incidence between March 2020-2023. Secondary effects of the COVID-19 pandemic on persons with TBI require investigation., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

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.Implications for RehabilitationOur 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 participationTaking a multidimensional perspective, we documented four meaningfully distinct participation subgroups (including both objective and subjective dimensions of societal participation) within the TBI rehabilitation populationMultidimensional 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).

Home-based exercises are an important component of stroke rehabilitation but are seldom fully completed. Past studies of exercise perseverance in the general public have suggested the importance of early exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) because they encourage habit formation. To test whether these observations apply after a stroke, we leveraged data from 2,583 users of a sensor-based system (FitMi) developed to motivate movement exercises at home. We grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. We found that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 days/week or more had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.

Objective: To estimate the prevalence of chronic pain after traumatic brain injury (TBI) and identify characteristics that differ from those without chronic pain., Setting: Community., Participants: A total of 3804 TBI Model Systems (TBIMS) participants who completed the Pain Survey at TBIMS follow-up., Design: A multisite, cross-sectional observational cohort study., Main Outcome Measures: Functional outcomes, pain experience, and treatment., Results: 46% reported current chronic pain, 14% reported past (post-injury) chronic pain, and 40% reported no chronic pain. Bivariate differences in sociodemographic and injury characteristics between the 3 pain groups were generally small in effect size, reflecting little clinical difference. However, medium effect sizes were seen for all functional outcomes, such that individuals with current chronic pain had worse functional outcomes compared with individuals in the past pain or no pain groups. Treatment utilization rates were higher for individuals with current chronic pain compared with past pain, with medical treatments being most frequently utilized. Individuals with past pain perceived more improvement with treatment than did those with current chronic pain as represented by a large effect size., Conclusions: Chronic pain affects approximately 60% of those living with TBI. The implications of chronic pain for functional outcomes support inclusion of pain metrics in prognostic models and observational studies in this population. Future research is needed to proactively identify those at risk for the development of chronic pain and determine the efficacy and access to pain treatment., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To determine if the interaction of opiate misuse and marijuana use frequency is associated with behavioral health outcomes., Setting: Community., Participants: Three thousand seven hundred fifty participants enrolled in the Traumatic Brain Injury Model Systems who completed the Pain Survey and had complete opioid use and marijuana use information., Design: Cross-sectional, secondary analysis from a multisite observational cohort., Main Outcome Measures: Clinically significant behavioral health symptoms for posttraumatic stress disorder (PTSD), depression, anxiety, and sleep quality., Results: Three thousand five hundred thirty-five (94.3%) participants did not misuse opiates, 215 (5.7%) did misuse opiates (taking more opioid pain medication than prescribed and/or using nonprescription opioid pain medication); 2683 (70.5%) participants did not use marijuana, 353 (9.3%) occasionally used marijuana (less than once a week), and 714 (18.8%) regularly used marijuana (once a week or more frequently). There was a statistically significant relationship (P < .05) between the interaction of opiate misuse and marijuana use frequency and all behavioral health outcomes and several covariates (age, sex, cause of injury, severity of injury, and pain group category). Pairwise comparisons confirm that statistically significant associations on behavioral health outcomes are driven by endorsing opiate misuse and/or regular marijuana use, but occasional marijuana use was not associated., Conclusions: Higher odds of clinically significant PTSD, depression, anxiety, and poor sleep quality are present in people with traumatic brain injury (TBI) who misuse opiates and/or who use marijuana regularly. In the absence of opiate misuse, regular marijuana use had higher odds of worse behavioral health outcomes than occasional and no use. The interaction of opiate misuse and regular marijuana use yielded the highest odds. Individuals with TBI should be informed of the relationship of substance use and behavioral health outcomes and that current chronic pain may mediate the association., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To examine the differences in participation, life satisfaction, and psychosocial outcomes among individuals with traumatic brain injury (TBI) endorsing current, past, or no chronic pain., Setting: Community., Participants: Three thousand eight hundred four TBI Model Systems participants 1 to 30 years of age postinjury classified into 1 of 3 groups based on their pain experience: current pain, past pain, no pain completed a Pain Survey at their usual follow-up appointment which on average was approximately 8 years postinjury., Design: Multisite, cross-sectional observational cohort study., Main Outcome Measures: Sociodemographic and injury characteristics and psychosocial outcomes (ie, satisfaction with life, depression, anxiety, posttraumatic stress disorder [PTSD], sleep quality, community participation)., Results: Persons with current chronic pain demonstrated higher scores on measures of PTSD, anxiety, and depression, and the lower scores on measures of sleep quality, community participation and satisfaction with life. Those with resolved past pain had mean scores for these outcomes that were all between the current and no chronic pain groups, but always closest to the no pain group. After adjusting for sociodemographic and function in multivariate analysis, having current chronic pain was associated with more negative psychosocial outcomes. The largest effect sizes (ES; in absolute value) were observed for the PTSD, depression, anxiety, and sleep quality measures (ES = 0.52-0.81) when comparing current pain to past or no pain, smaller ES were observed for life satisfaction (ES = 0.22-0.37) and out and about participation (ES = 0.16-0.18). When comparing past and no pain groups, adjusted ES were generally small for life satisfaction, PTSD, depression, anxiety, and sleep quality (ES = 0.10-0.23) and minimal for participation outcomes (ES = 0.02-0.06)., Conclusions: Chronic pain is prevalent among individuals with TBI and is associated with poorer psychosocial outcomes, especially for PTSD, depression, anxiety, and sleep disturbance. The results from this study highlight the presence of modifiable comorbidities among those with chronic pain and TBI. Persons who experience persistent pain following TBI may be at greater risk for worse psychosocial outcomes., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To develop new diagnostic criteria for mild traumatic brain injury (TBI) that are appropriate for use across the lifespan and in sports, civilian trauma, and military settings., Design: Rapid evidence reviews on 12 clinical questions and Delphi method for expert consensus., Participants: The Mild Traumatic Brain Injury Task Force of the American Congress of Rehabilitation Medicine Brain Injury Special Interest Group convened a Working Group of 17 members and an external interdisciplinary expert panel of 32 clinician-scientists. Public stakeholder feedback was analyzed from 68 individuals and 23 organizations., Results: The first 2 Delphi votes asked the expert panel to rate their agreement with both the diagnostic criteria for mild TBI and the supporting evidence statements. In the first round, 10 of 12 evidence statements reached consensus agreement. Revised evidence statements underwent a second round of expert panel voting, where consensus was achieved for all. For the diagnostic criteria, the final agreement rate, after the third vote, was 90.7%. Public stakeholder feedback was incorporated into the diagnostic criteria revision prior to the third expert panel vote. A terminology question was added to the third round of Delphi voting, where 30 of 32 (93.8%) expert panel members agreed that 'the diagnostic label 'concussion' may be used interchangeably with 'mild TBI' when neuroimaging is normal or not clinically indicated.', Conclusions: New diagnostic criteria for mild TBI were developed through an evidence review and expert consensus process. Having unified diagnostic criteria for mild TBI can improve the quality and consistency of mild TBI research and clinical care., (Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To examine the effect of the COVID-19 pandemic on societal participation in people with moderate-to-severe traumatic brain injury (TBI)., Design: Cross-sectional retrospective cohort., Setting: National TBI Model Systems centers, United States., Participants: TBI Model Systems enrollees (N=7003), ages 16 and older and 1-30 years postinjury, interviewed either prepandemic (PP) or during the pandemic (DP). The sample was primarily male (72.4%) and White (69.5%), with motor vehicle collisions as the most common cause of injury (55.1%)., Interventions: Not applicable., Main Outcome Measure: The 3 subscales of the Participation Assessment with Recombined Tools-Objective: Out and About (community involvement), Productivity, and Social Relations., Results: Out and About, but not Productivity or Social Relations, scores were appreciably lower among DP participants compared to PP participants (medium effect). Demographic and clinical characteristics showed similar patterns of association with participation domains across PP and DP. When their unique contributions were examined in regression models, age, self-identified race, education level, employment status, marital status, income level, disability severity, and life satisfaction were variably predictive of participation domains, though most effects were small or medium in size. Depression and anxiety symptom severities each showed small zero-order correlations with participation domains across PP and DP but had negligible effects in regression analyses., Conclusions: Consistent with the effect of COVID-19 on participation levels in the general population, people with TBI reported less community involvement during the pandemic, potentially compounding existing postinjury challenges to societal integration. The pandemic does not appear to have altered patterns of association between demographic/clinical characteristics and participation. Assessing and addressing barriers to community involvement should be a priority for TBI treatment providers. Longitudinal studies of TBI that consider pandemic-related effects on participation and other societally linked outcomes will help to elucidate the potential longer-term effect the pandemic has on behavioral health in this population., (Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Traumatic brain injury (TBI) is a global health priority, associated with substantial burden. Historically conceptualised as an injury event with finite recovery, TBI is now recognised as a chronic condition that can affect multiple domains of health and function, some of which might deteriorate over time. Many people who have had a TBI remain moderately to severely disabled at 5 years, are rehospitalised up to 10 years post-injury, and have a reduced lifespan relative to the general population. Understanding TBI as a chronic disease process can be highly informative for optimising care, which has traditionally focused on acute care. Chronic brain injury care models must be informed by a holistic understanding of long-term outcomes and the factors that can affect how care needs evolve over time. The United States Traumatic Brain Injury Model Systems of Care follows up individuals with moderate-to-severe TBI for over 30 years, allowing characterisation of the chronic (2-30 years or more post injury) functional, cognitive, behavioural, and social sequelae experienced by individuals who have had a moderate-to-severe TBI and the implications for their health and quality of life. Older age, social determinants of health, and lower acute functional status are associated with post-recovery deterioration, while younger age and greater functional independence are associated with risky health behaviours, including substance misuse and re-injury. Systematically collected data on long-term outcomes across multiple domains of health and function are needed worldwide to inform the development of models for chronic disease management, including the proactive surveillance of commonly experienced health and functional challenges., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Objective: To examine the prevalence, severity, and correlates of depression, anxiety, and suicidal ideation in people with traumatic brain injury (TBI) assessed before and during the COVID-19 pandemic., Design: Retrospective cohort study using data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at 1, 2, 5, 10, 15, 20, 25, or 30 years post TBI., Setting: United States-based TBIMS rehabilitation centers with telephone assessment of community residing participants., Participants: Adults (72.4% male; mean age, 47.2 years) who enrolled in the TBIMS National Database and completed mental health questionnaires prepandemic (January 1, 2017 to February 29, 2020; n=5000) or during pandemic (April 1, 2022 to June 30, 2021; n=2009) (N=7009)., Interventions: Not applicable., Main Outcome Measures: Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 questionnaire., Results: Separate linear and logistic regressions were constructed with demographic, psychosocial, injury-related, and functional characteristics, along with a binary indicator of COVID-19 pandemic period (prepandemic vs during pandemic), as predictors of mental health outcomes. No meaningful differences in depression, anxiety, or suicidal ideation were observed before vs during the COVID-19 pandemic. Correlations between predictors and mental health outcomes were similar before and during the pandemic., Conclusions: Contrary to our predictions, the prevalence, severity, and correlates of mental health conditions were similar before and during the COVID-19 pandemic. Results may reflect generalized resilience and are consistent with the most recent findings from the general population that indicate only small, transient increases in psychological distress associated with the pandemic. While unworsened, depression, anxiety, and suicidal ideation remain prevalent and merit focused treatment and research efforts., (Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To evaluate major and everyday experiences of discrimination (MED and EED, respectively) in relation to behavioral health outcomes in people with traumatic brain injury (PwTBI)., Setting: Outpatient research laboratory., Participants: Adults, 50 years or older, with a chronic (1+ year) history of moderate or severe TBI ( N = 118)., Design: Cross-sectional observational study., Main Measures: MED and EED (primary measures of interest) and behavioral health outcomes: global cognition, psychological symptoms, neurobehavioral symptoms, societal participation, and health-related quality of life (HRQoL). In participants with available geodata ( N = 28), neighborhood socioeconomic deprivation (ND) was examined as a potential contributor to MED, EED, and measured outcomes., Results: EED and MED were significantly associated with psychological symptoms, neurobehavioral symptoms, and HRQoL after correction for multiple comparisons. Counter to expectations, EED were related to higher societal participation. MED and EED were unrelated to cognition. When MED and EED were entered together in hierarchical regressions, only EED made significant contributions beyond demographic and injury-related covariates to each outcome. Sensitivity analyses revealed that most of these relationships were not solely accounted for by disability-related discrimination. ND showed negligible associations with discrimination but moderate effect sizes for cognition and participation. Race was not significantly related to discrimination and was not a significant predictor in regression models but was strongly associated with ND., Conclusion: The current data provide preliminary support for perceived discrimination as an important factor in neurobehavioral and psychosocial health, but not cognitive performance, after TBI. These relationships appear to be driven by daily experiences of discriminatory treatment versus single major instances of injustice. Measured outcomes may also reflect socioeconomic challenges and structural discrimination faced by diverse PwTBI, although more work in this area is urgently needed. Multiple sources of marginalization and disenfranchisement and their functional effects should be considered in TBI rehabilitation and outcome monitoring., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: Personal beliefs about memory ability, which comprise memory self-efficacy (MSE), can influence memory performance in healthy older adults. Self-efficacy theory also predicts that MSE biases self-perceptions of functioning more globally, potentially impacting daily activity beyond cognitive performance. People with traumatic brain injury (PwTBI) frequently report debilitating memory problems long after acute recovery, but little is known about how MSE affects health outcomes in this population. We examined demographic and clinical correlates of MSE, as well as its relationship to memory test performance and health-related quality of life (QOL), in older adults with chronic moderate-to-severe TBI (msTBI)., Method: One hundred fourteen adults, aged 50+ and at least 1 year post-msTBI, underwent neuropsychological testing to assess their memory functioning. Participants also self-reported levels of psychological distress, MSE (Cognitive Confidence subscale of the Metacognitions Questionnaire ), and health-related QOL ( Quality of Life after Brain Injury questionnaire)., Results: Demographic and injury-related predictors showed weak correlations with MSE. Although the relationship between MSE and general psychological distress was robust, only the former significantly predicted memory performance. Bivariate analyses revealed significant relationships between MSE and five out of the six QOL domains assessed. Multivariate linear regression revealed a significant impact of MSE on overall QOL independent of demographic and clinical variables., Conclusions: Our findings support a unique role for MSE in both the objective cognitive performance and subjective health of PwTBI. Increased focus on self-perceptions of ability and their impact on measured outcomes is an important step towards personalized rehabilitation for adults with chronic msTBI.

Objective: The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury., Design: This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included., Results: A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance., Conclusions: Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury., Competing Interests: Financial disclosure statements have been obtained, and no conflicts of interest have been reported by the authors or by any individuals in control of the content of this article., (Copyright © 2022 Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government.)

Objective: Determine anxiety trajectories and predictors up to 10 years posttraumatic brain injury (TBI)., Design: Prospective longitudinal, observational study., Setting: Inpatient rehabilitation centers., Participants: 2836 participants with moderate to severe TBI enrolled in the TBI Model Systems National Database who had ≥2 anxiety data collection points (N=2836)., Main Outcome Measure: Generalized Anxiety Disorder-7 (GAD-7) at 1, 2, 5, and 10-year follow-ups., Results: Linear mixed models showed higher GAD-7 scores were associated with Black race (P<.001), public insurance (P<.001), pre-injury mental health treatment (P<.001), 2 additional TBIs with loss of consciousness (P=.003), violent injury (P=.047), and more years post-TBI (P=.023). An interaction between follow-up year and age was also related to GAD-7 scores (P=.006). A latent class mixed model identified 3 anxiety trajectories: low-stable (n=2195), high-increasing (n=289), and high-decreasing (n=352). The high-increasing and high-decreasing groups had mild or higher GAD-7 scores up to 10 years. Compared to the low-stable group, the high-decreasing group was more likely to be Black (OR=2.25), have public insurance (OR=2.13), have had pre-injury mental health treatment (OR=1.77), and have had 2 prior TBIs (OR=3.16)., Conclusions: A substantial minority of participants had anxiety symptoms that either increased (10%) or decreased (13%) over 10 years but never decreased below mild anxiety. Risk factors of anxiety included indicators of socioeconomic disadvantage (public insurance) and racial inequities (Black race) as well as having had pre-injury mental health treatment and 2 prior TBIs. Awareness of these risk factors may lead to identifying and proactively referring susceptible individuals to mental health services., (Copyright © 2022 American Congress of Rehabilitation Medicine. All rights reserved.)

Persevering with home rehabilitation exercise is a struggle for millions of people in the US each year. A key factor that may influence motivation to engage with rehabilitation exercise is the challenge level of the assigned exercises, but this hypothesis is currently supported only by subjective, self-report. Here, we studied the relationship between challenge level and perseverance using long-term, self-determined exercise patterns of a large number of individuals ( N = 2,581) engaging in home rehabilitation with a sensor-based exercise system without formal supervision. FitMi is comprised of two puck-like sensors and a library of 40 gamified exercises for the hands, arms, trunk, and legs that are designed for people recovering from a stroke. We found that individuals showed the greatest perseverance with the system over a 2-month period if they had (1) a moderate level of motor impairment and (2) high but not perfect success during the 1st week at completing the exercise game. Further, a steady usage pattern (vs. accelerating or decelerating use) was associated with more overall exercise, and declines in exercise amount over time were associated with exponentially declining session initiation probability rather than decreasing amounts of exercise once a session was initiated. These findings confirm that an optimized challenge level and regular initiation of exercise sessions predict achievement of a greater amount of overall rehabilitation exercise in a group of users of commercial home rehabilitation technology and suggest how home rehabilitation programs and exercise technologies can be optimized to promote perseverance., Competing Interests: DR has a financial interest in Hocoma A.G. and Flint Rehabilitation Devices LLC, companies that develop and sell rehabilitation devices. Flint Rehabilitation Devices produces the FitMi sensor used in this study. The terms of these arrangements have been reviewed and approved by the University of California, Irvine, in accordance with its conflict-of-interest policies. DZ has a financial interest in Flint Rehabilitation Devices, LLC. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Ramos Muñoz, Swanson, Johnson, Anderson, Rabinowitz, Zondervan, Collier and Reinkensmeyer.)

Objective: To examine the influence of 2 temporal factors-age and injury chronicity-on the relationship between cognitive reserve (CR) and cognitive functioning in older adults with chronic traumatic brain injury (TBI)., Setting: Outpatient research laboratory., Participants: Adults, 50 years or older, with a 1- to 45-year history of moderate or severe TBI (N = 108)., Design: Cross-sectional observational study., Main Measures: CR was estimated using demographically corrected performance on a word-reading test (an approximation of premorbid IQ). Injury chronicity was operationalized as number of years since the date of injury. Composite cognitive scores were computed from performances on neuropsychological tests of processing speed, executive functioning, and memory., Results: CR was positively and significantly related to all cognitive performances independent of age, injury chronicity, and injury severity. Greater injury chronicity significantly attenuated the effect of CR on processing speed such that individuals more distal from their injury date evidenced a weaker positive relationship between CR and performance., Conclusion: Temporal factors may modify associations between CR and cognition. Findings suggest that the protective effects of CR are temporally delimited, potentially contending with declines in brain reserve. The prognostic value of traditional outcome determinants should be considered in the context of injury chronicity., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: In this article, we describe the development and preliminary testing of RehaBot-a chatbot that users communicate with via text messaging designed to augment behavioral activation (BA) treatment of reducing depression and increasing participation in individuals with moderate to severe traumatic brain injury (TBI)., Setting: Outpatient brain injury rehabilitation facility., Participants: Outpatient brain injury clinicians and individuals with moderate to severe TBI., Design: Focus groups, software demonstration trials, and single-case experiments with an A-B-A design., Main Measures: System Usability Scale (SUS) and self-reported completed target activities., Results: Focus group feedback guided the development of a flexible system to be used in conjunction with face-to-face therapy, designed to provide reminders, encouragement, and supportive feedback. Two of 3 participants completed all 6 RehaBot tasks independently. One completed 4 tasks independently and a fifth with assistance. Average SUS score in demonstration trials was 76.77 (SD = 21.19). In 4 single-case experiments, participants completed their highest proportion of planned activities in the RehaBot phase and the lowest proportion of planned activities in the reversal phase. They all interacted with RehaBot daily, exchanging an average of 225 messages over the 1-week period, and average SUS score was 95 (SD = 4.74). Their open-ended feedback revealed that participants found RehaBot enjoyable and easy to use. They felt it was a helpful memory aid and promoted better adherence to planned activities by providing accountability and positive reinforcement., Conclusions: This article presents a chatbot development process heavily involving consumer input, which may serve as a model for future development efforts. Our findings provide preliminary evidence suggesting that RehaBot is usable and may promote better adherence to planned target activities. However, future research is needed to establish usability and efficacy of RehaBot and to explore applications of chatbots to other domains of TBI rehabilitation., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: The authors declare no conflicts of interest.

Objective: To identify group-based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI)., Methods: Participants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire-9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post-injury. A k-means cluster analysis was conducted to determine group-based patterns of SI, and pre-injury variables were compared with ANOVAs and chi-square tests., Results: SI and attempts decreased over time. Four group-based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre-injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander., Conclusion: These findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI., (© 2021 Wiley Periodicals LLC.)

Objective: To investigate relative causality in relations among suicidal ideation (SI), depressive symptoms, and functional independence over the first 10 years after traumatic brain injury (TBI)., Design: Prospective longitudinal design with data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at acute rehabilitation hospitalization as well as 1, 2, 5, and 10 years after injury., Setting: United States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up., Participants: Individuals enrolled into the TBIMS National Database (N=9539) with at least 1 SI score at any follow-up data collection (72.1% male; mean age, 39.39y)., Interventions: Not applicable., Main Outcome Measures: Patient Health Questionnaire-9 and FIM at years 1, 2, 5, and 10 post injury., Results: A cross-lagged panel structural equation model, which is meant to indirectly infer causality through longitudinal correlational data, suggested that SI, depressive symptoms, and functional independence each significantly predicted themselves over time. Within the model, bivariate correlations among variables were all significant within each time point. Between years 1 and 2 and between years 2 and 5, depressive symptoms had a larger effect on SI than SI had on depressive symptoms. Between years 5 and 10, there was reciprocal causality between the 2 variables. Functional independence more strongly predicted depressive symptoms than the reverse between years 1 and 2 as well as years 2 and 5, but its unique effects on SI over time were extremely marginal or absent after controlling for depressive symptoms., Conclusions: A primary goal for rehabilitation and mental health providers should be to monitor and address elevated symptoms of depression as quickly as possible before they translate into SI, particularly for individuals with TBI who have reduced functional independence. Doing so may be a key to breaking the connection between low functional independence and SI., (Published by Elsevier Inc.)

We examined the association between early-life participation in collision sports and later-life cognitive health over a 28-year period in a population-based sample drawn from the longitudinal Swedish Adoption/Twin Study of Aging (1987-2014). Cognitive measures included the Mini-Mental State Examination and performance across multiple cognitive domains (e.g., global cognition, verbal ability, spatial ability, memory, processing speed). Among a sample of 660 adults (mean age at baseline, 62.8 years (range: 50-88); 58.2% female), who contributed 10,944 person-years of follow-up, there were 450 cases of cognitive impairment (crude rate = 41.1/1,000 person-years). Early-life participation in collision sports was not significantly associated with cognitive impairment at baseline or with its onset over a 28-year period in a time-to-event analysis, which accounted for the semi-competing risk of death. Furthermore, growth curve models revealed no association between early-life participation in collision sports and the level of or change in trajectories of cognition across multiple domains overall or in sex-stratified models. We discuss the long-term implications of adolescent participation in collision sports on cognitive health., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To examine the relationship between depression and cognition, genetic risk, and hippocampal differences in a sample of older adults with a history of traumatic brain injury (TBI)., Method: Participants were 85 males and 35 females (91 Caucasian, 29 African-American) with a mean age of 65.04 (±8.27) years and a history of moderate, severe, or complicated mild TBI. Participants were an average of 9.33 (±7.27) years post injury (range: 0.78-45.63). Participants underwent genetic testing, a comprehensive neuropsychological battery, surveys, and a subset underwent MRI scanning., Results: Apolipoprotein E (APOE) e4 carrier status predicted clinically significant depressive symptomatology on the Geriatric Depression Scale (GDS) with an odds ratio of 3.63, 95% CI [1.33, 9.29]. GDS was not associated with scores on measures of executive function, list learning recall, or retention. Although GDS score was initially associated with poorer confrontation naming scores and story memory recall, these effect sizes were small, and this variance was better accounted for by age and cognitive reserve. Higher GDS scores were also associated with decreased hippocampal volume., Conclusions: APOE carrier status was predictive of depression in a sample of older adults with a history of TBI. Depressive symptoms were also associated with decreased hippocampal volume but did not predict cognitive deficits in the examined domains beyond the effects of cognitive reserve. Despite the relationship between GDS and biological risks for decline, depressive symptoms in this population showed no direct relationship with cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Objective: To identify psychosocial and functional predictors of self-reported depression and anxiety symptoms at year 2 following traumatic brain injury (TBI)., Setting: Five Department of Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRCs) within the TBI Model Systems (TBIMS)., Participants: A total of 319 service members/veterans enrolled in VA TBIMS who were eligible for and completed both 1- and 2-year follow-up evaluations., Design: Secondary analysis from multicenter prospective longitudinal study., Main Measures: Demographic, injury-related, military, mental health, and substance use variables. Questionnaires included the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Neurobehavioral Symptom Inventory. Rating scales included the Participation Assessment with Recombined Tools-Objective and Disability Rating Scale., Results: The final sample was largely male (96%) and predominantly White (65%), with a median age of 27 years. In unadjusted analyses, pre-TBI mental health treatment history and year 1 employment status, community activity, sleep difficulties, and self-reported depression and anxiety symptoms were associated with year 2 PHQ-9 scores; pre-TBI mental health treatment history and year 1 community activity, social contact, problematic substance use, sleep difficulties, and self-reported depression and anxiety symptoms were associated with year 2 GAD-7 scores. In multivariable analyses, only year 1 community activity and depression symptoms uniquely predicted year 2 PHQ-9 scores, and only year 1 employment status, community activity, problematic substance use, and anxiety symptoms uniquely predicted year 2 GAD-7 scores., Conclusion: Anxiety and depression commonly occur after TBI and are important treatment targets. Some predictors (eg, participation and substance use) are modifiable and amenable to treatment as well. Early identification of anxiety and depression symptoms is key., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To examine racial/ethnic disparities in community participation among veterans and active duty service members with traumatic brain injury (TBI)., Setting: Five Department of Veterans Affairs (VA) TBI Model Systems (TBIMS) Polytrauma Rehabilitation Centers (PRCs). Participants: Three hundred forty-two community-dwelling adults (251 White, 34 Black, and 57 Hispanic) with TBI enrolled in the VA TBIMS National Database who completed a 1-year follow-up interview. Mean age was 38.6 years (range, 19-84 years)., Design: Cross-sectional analysis of a prospective observational cohort study. Main Measures: Community participation at 1 year postinjury assessed by 3 domains of the Participation Assessment with Recombined Tools-Objective (PART-O): Out & About, Productivity, and Social Relations., Results: Significant differences were observed among race/ethnicity groups in PART-O Productivity and Out & About domains without controlling for relevant participant characteristics; Productivity scores were significantly higher for non-Hispanic Black than for non-Hispanic White participants (t = 2.40, P = .0169). Out & About scores were significantly higher for Hispanic than for non-Hispanic White participants (t = 2.79, P = .0056). However, after controlling for demographic, injury severity, and 1-year follow-up characteristics, only differences in the Out & About domain remained statistically significant (t = 2.62, P = .0094), with scores being significantly higher for Hispanics than for non-Hispanic Whites., Conclusions: The results, which differ from findings from studies conducted in non-VA healthcare settings where there are greater racial/ethnic disparities in participation outcomes, could reflect differences between military and civilian samples that may reduce disparities., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Understanding the effects of age on longitudinal traumatic brain injury (TBI) outcomes requires attention to both chronic and evolving TBI effects and age-related changes in health and function. The present study examines the independent and interactive effects of aging and chronicity on functional outcomes after TBI. We leveraged a well-defined cohort of individuals who sustained a moderate/severe TBI and received acute inpatient rehabilitation at specialized centers with high follow up rate as part of their involvement in the TBI Model Systems longitudinal study. We selected individuals at one of two levels of TBI chronicity (either 2 or 10 years post-injury) and used an exact matching procedure to obtain balanced chronicity groups based on age and other characteristics ( N  = 1993). We found that both older age and greater injury chronicity were related to greater disability, reduced functional independence, and less community participation. There was a significant age by chronicity interaction, indicating that the adverse effects of greater time post-injury were most pronounced among survivors who were age 75 or older. The inflection point at roughly 75 years of age was corroborated by post hoc analyses, dividing the sample by age at 75 years and examining the interaction between age group and chronicity. These findings point to a need for provision of rehabilitation services in the chronic injury period, particularly for those who are over 75 years old. Future work should investigate the underlying mechanisms of this interaction towards the goal of developing interventions and models of care to promote healthy aging with TBI.

Many youths participate in sports, and it is of interest to understand the impact of youth sports participation on later-life outcomes. However, prospective studies take a long time to complete and retrospective studies may be more practical and time-efficient to address some questions. We pilot a retrospective survey of youth sports participation and examine agreement between respondent's self-reported participation with high school records in a sample of 84 adults who graduated from high school between 1948 and 2018. The percent agreement between our survey and the school resources for individual sports ranged between 91.5% and 100%. These findings provide preliminary evidence for the reliability of retrospective self-report of youth sports participation. This survey may serve as an efficient approach for evaluating relationships between involvement in youth sports and health outcomes later in adulthood., Competing Interests: The authors have declared that no competing interests exist.

Purpose/Objective : Older adults with a history of traumatic brain injury (TBI) remain an understudied population, resulting in a paucity of geriatric-specific guidelines. Given an increased vascular risk among older adults with TBI, we aimed to examine distal predictors of vascular health in this population. Specifically, we sought to compare levels of perceived discrimination in Black and White older adults with a history of complicated mild, moderate, or severe TBI, and to examine the relationship between levels of discrimination and pulse pressure, a measure of vascular health. Research Method/Design: Self-report measures of everyday discrimination (ED) and major experiences of discrimination (MED) were completed by 106 individuals aging with TBI (27 identified as Black, 79 identified as White). Resting blood pressure was collected during the assessment. Results: MED, but not ED, was significantly higher among Black individuals versus White individuals aging with TBI. Greater MED was significantly associated with higher pulse pressure independent of race and antihypertensive medication status. There was a marginally significant race by MED interaction, where the association between MED and pulse pressure was observed in Black individuals but not White individuals. Injury severity was not associated with pulse pressure, nor were there significant severity by discrimination interactions on pulse pressure. Conclusions/Implications: Discrimination, which may arise from multiple sources of bias (e.g., related to race, disability), is associated with vascular burden. These findings suggest that patients' experiences of discrimination should be addressed as a factor that contributes to health and well-being in brain injury rehabilitation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Objectives: Neuropsychological tests of episodic memory often include a measure of memory retention to facilitate the diagnosis of memory disorders. However, the traditional percent retention (PR) score has limited interpretability when smaller amounts of information are both initially learned and later recalled, creating a pseudo-ceiling effect. To improve psychometrics of PR, we investigated a scoring procedure that incorporates levels of certainty into estimates of memory retention based on learning level., Methods: Word-list recall data from adults with traumatic brain injury were modeled using a uniform prior in the Bayesian framework. From the resultant posterior probability distributions, we derived a measure referred to as retention probability (RPr), which distinguishes the retention of relatively good and poor learners. PR and RPr scores were compared on their distributional properties and associations with theoretically related memory measures., Results: Significant distributional differences between PR and RPr were observed. RPr removed the conspicuous ceiling of PR, resulting in stronger correlational and predictive relationships with other memory measures., Conclusion: A Bayesian procedure for quantifying memory retention has psychometric advantages and potentially widespread applicability for measuring the change in behavioral features over time. Future directions are briefly discussed. A sample RPr calculator is provided for interactive exploration of the method.

Background: Disrupted memory circuitry may contribute to post-traumatic amnesia (PTA) after traumatic brain injury (TBI). It is unclear whether duration of PTA (doPTA) uniquely impacts memory functioning in the chronic post-injury stage., Objective: To examine the relationship between doPTA and memory functioning, independent of other cognitive abilities, in chronic moderate-to-severe TBI., Methods: Participants were 82 individuals (median chronicity = 10.5 years) with available doPTA estimates and neuropsychological data. Composite memory, processing speed (PS), and executive functioning (EF) performance scores, as well as data on subjective memory (SM) beliefs, were extracted. DoPTA-memory associations were evaluated via linear modeling of doPTA with memory performance and clinical memory status (impaired/unimpaired), controlling for PS, EF, and demographic covariates. Interrelationships between doPTA, objective memory functioning, and SM were assessed., Results: DoPTA was significantly related to memory performance, even after covariate adjustment. Impairment in memory, but not PS or EF, was associated with a history of longer doPTA. SM was associated with memory performance, but unrelated to doPTA., Conclusions: Findings suggest a specific association between doPTA-an acute injury phenomenon-and chronic memory deficits after TBI. Prospective studies are needed to understand how underlying mechanisms of PTA shape distinct outcome trajectories, particularly functional abilities related to memory processing.

Objective: To describe the association between unmet rehabilitation needs and life satisfaction 5 years after traumatic brain injury (TBI)., Design: Prospective observational cohort., Setting: Five Veterans Affairs (VA) Polytrauma Rehabilitation Centers., Participants: VA TBI Model Systems participants (N=301); 95% male; 77% white; average age, 39±14y)., Interventions: Not applicable., Main Outcome Measures: Satisfaction With Life Scale (SWLS)., Results: Average SWLS score was 22±8. Univariable analyses demonstrated several statistically significant predictors of life satisfaction, including employment status, participation, psychiatric symptom severity, past year mental health treatment, and total number of unmet rehabilitation needs (all P<.05). Multivariable analyses revealed that depression and participation were each associated with life satisfaction. An ad hoc mediation model suggested that unmet rehabilitation needs total was indirectly related to life satisfaction. Total unmet rehabilitation needs ranged from 0-21 (mean, 2.0±3.4). Correlational analyses showed that 14 of the 21 unmet rehabilitation needs were associated with life satisfaction., Conclusions: Findings support the need for rehabilitation engagement in later stages of TBI recovery. Ongoing assessment of and intervention for unmet rehabilitation needs in the chronic phase of recovery have the potential to mitigate decline in life satisfaction., (Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To examine heterogeneity in the temporal patterns of depression and participation over the first 2 years post traumatic brain injury (TBI)., Design: Observational prospective longitudinal study., Setting: Inpatient rehabilitation centers, with 1- and 2-year follow-up conducted primarily by telephone., Participants: Persons with TBI (N=2307) enrolled in the Traumatic Brain Injury Model Systems database, followed at 1 and 2 years post injury., Interventions: Not applicable., Main Outcome Measure: Patient Health Questionnaire-9 (PHQ-9) and Participation Assessment With Recombined Tools-Objective (PART-O)., Results: Using latent class modeling we examined heterogeneity in the longitudinal relationship between PHQ-9 and PART-O. The identified 6 classes were most distinct in terms of (1) level of PHQ-9 score and (2) association between the year 1 PART-O score and year 2 PHQ-9 score. For most participants, PART-O at year 1 predicted PHQ-9 at year 2 more than the reverse. However, there was a subgroup of participants that demonstrated the reverse pattern, PHQ-9 predicting later PART-O, who were on average, older and in the "other" employment category., Conclusions: Results suggest that links between participation and depression are stronger for some people living with TBI than for others and that variation in the temporal sequencing of these 2 constructs is associated with demographic characteristics. These findings illustrate the value in accounting for population heterogeneity when evaluating temporal among outcome domains., (Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To characterize the influence of additional (both prior and subsequent) traumatic brain injuries (TBIs) on recovery after a moderate to severe index TBI., Setting: Traumatic Brain Injury Model Systems centers., Participants: Persons with moderate to severe TBI (N = 5054) enrolled in the TBI Model Systems National Database with complete outcome data for the outcomes of interest at 1-, 2-, and 5-year follow-up., Design: Secondary analysis of a prospective longitudinal data set., Main Measures: Prior and intercurrent TBI from the Ohio State University TBI Identification Method (OSU TBI-ID), Disability Rating Scale (DRS), and Functional Independence Measure (FIM)., Results: Prior moderate-severe TBIs significantly predicted overall level of functioning on the DRS, FIM Cognitive, and FIM Motor for participants with less severe index injuries. Moderate-severe intercurrent TBIs (TBIs subsequent to the index injury) were predictive of poorer functioning for both Index Severity groups, reflected in higher mean scores on the DRS in participants with less severe index injuries and lower mean Cognitive FIM in participants with more severe index injuries., Conclusion: Multiple brain injuries, particularly those of moderate or greater severity, have a significantly greater impact on patients' level of functioning compared with a single injury, but not the rate or shape of recovery.

Better characterization of acute concussion symptomatology is needed in order to advance clinical and scientific understanding of persistent concussion symptoms. This paper aims to illustrate a novel framework for conceptualizing, collecting, and analyzing concussion symptom data. To that end, we describe the temporal and structural dynamics of acute concussion symptoms at the individual-patient level. Ten recently concussion adolescents and young adults completed 20 days of ecological momentary assessment (EMA) of post-concussion symptoms. Follow-up assessments were completed at 3 months post-injury. Network modeling revealed marked heterogeneity across participants. In the overall sample, temporal patterns explained the most variance in light sensitivity (48%) and the least variance in vomiting (5%). About half of the participants had symptom networks that were sparse after controlling for temporal variation. The other individualized symptom networks were densely interconnected clusters of symptoms. Networks were highly idiosyncratic in nature, yet emotional symptoms (nervousness, emotional, sadness), cognitive symptoms (mental fogginess, slowness), and symptoms of hyperacusis (sensitivity to light, sensitivity to noise) tended to cluster together across participants. Person-specific analytic techniques revealed a number of idiosyncratic features of post-concussion symptomatology. We propose applying this framework to future research to better understand individual differences in concussion recovery.

Objectives: Cognitive and neuropsychiatric symptoms are extremely common following mild traumatic brain injury (TBI), also known as concussion. Although most patients will recovery rapidly, a significant minority go on to experience persistent symptoms. There are currently no FDA-approved medications for treatment of cognitive and neuropsychiatric problems in the context of mild TBI, yet a number of agents are prescribed "off-label" for these complaints. Rigorous trials are lacking, but there are a number of open-label studies, and some small randomized controlled trials that support the safety and possible efficacy of pharmacotherapies in this population. Clinical trials conducted in samples with more severe brain injuries can also serve as a guide., Methods: Review of the literature., Results & Conclusions: There is the most support in the literature for the neurostimulant methylphenidate for treatment of mild TBI-related cognitive dysfunction, and the selective serotonin reuptake inhibitor, sertraline, for the treatment of postinjury depression. There is clearly a need for more well-designed studies to guide clinicians in selecting the appropriate medication and dose. Without clear guidance from the literature, a cautious approach of starting low and titrating slowly is recommended.

Objective: The purpose of this study was to examine sex differences in neuropsychological functioning after sports-related concussion using several approaches to assess cognition: mean performance, number of impaired scores, and intraindividual variability (IIV)., Method: In the study, 152 concussed college athletes were administered a battery of neuropsychological tests, on average, 10 days post-concussion (SD = 12.75; Mdn = 4 days; Range = 0-72 days). Mean performance was evaluated across 18 individual neuropsychological variables, and the total number of impaired test scores (>1.5 SD below the mean) was calculated for each athlete. Two measures of IIV were also computed: an intraindividual standard deviation (ISD) score and a maximum discrepancy (MD) score., Results: Analyses of covariance revealed that, compared with males, females had significantly more impaired scores and showed greater variability on both IIV indices (ISD and MD scores) after adjusting for time since injury and post-concussive symptoms. In contrast, no significant effects of sex were found when examining mean neuropsychological performance., Conclusion: Although females and males demonstrated similar mean performance following concussion, females exhibited a greater level of cognitive impairment and larger inconsistencies in cognitive performance than males. These results suggest that evaluating cognitive indices beyond mean neuropsychological scores may provide valuable information when determining the extent of post-concussion cognitive dysfunction.

Executive dysfunction is frequently observed in moderate to severe traumatic brain injury (TBI) and is commonly assessed with objective measures or subjective rating scales. Given the variability in executive function in the normal population, a reliable measure of pre-injury executive function would be of considerable value. In this study we examined pre-injury self and collateral (relative or friend) ratings on the Frontal Systems Behavior Rating Scale (FrSBe). Fifty-one persons with moderate to severe TBI and their collaterals provided before- and after-TBI ratings at 3 months post injury. A subset of 36 dyads were retested at 6 and 12 months; 26 neurologically intact controls and their collaterals also provided FrSBe ratings. At 3 months post injury, the difference between patient and collateral ratings of current status was larger than the difference relating to premorbid status, suggesting that patients were able to rate themselves from a pre-injury perspective. However, pre-injury ratings from collaterals were more reliable over time compared with patients' self-ratings. For all sets of ratings - before injury, after injury, and status of healthy controls - collateral ratings indicated more abnormality, overall, than comparable self-ratings. Evaluating one's own executive behaviour may be a difficult task even without TBI, with the difficulty exacerbated by the effects of injury.

Objective: Determine agreement between self-reported dose and dose reflected in administrative records of outpatient physical, occupational, and speech therapies at 6 and 12 months after severe traumatic brain injury (TBI), for the purpose of examining accuracy and predictors of accuracy of self-reported health care utilization in this population., Design: Secondary analysis of survey used in a larger study; participants were queried about therapy doses using a structured interview, either alone or assisted by relatives if they so chose, with responses compared to administrative records., Setting: Rehabilitation center providing outpatient TBI therapies., Participants: Sixty-five people with severe TBI living in the community provided 6-month data (N=65); 54 provided 12-month data., Interventions: Not applicable., Main Outcome Measures: Degree of agreement with administrative records of scheduled and billed therapy appointments, measured using intraclass correlation coefficients (ICCs), with linear regression used to predict accuracy from demographic variables and cognitive status., Results: ICCs were in the moderate range at 6 months, but were more variable, with some in the poor range, at 12 months. Agreement was higher for scheduled than for billed (attended) appointments. Assisted and unassisted patients provided comparable agreement with records. No demographic factors were associated with accuracy, but lower cognitive FIM scores, as hypothesized, tended to predict lower agreement at 6 months., Conclusions: People with severe TBI can provide reasonable estimates of commonly prescribed outpatient therapy doses at 6 months postinjury. Accuracy may be improved by inviting patients to request assistance from relatives and by asking them to consider attended (vs scheduled) sessions., (Copyright © 2018 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: Interpreting change in cognitive performance across baseline and post-concussion evaluations is complicated by poor understanding of how incentives, such as return-to-play, may impact performance. This study examines the influence of an anticipated financial incentive on two sets of outcomes from the ImPACT computerized battery: (a) cognitive composites, meant to serve as measures of cognitive function, and (b) validity indices, proposed as indicators of invalid performance., Method: 81 uninjured college students, randomized into two groups, completed a concussion assessment battery including ImPACT. The control group received standard administration instructions. The incentive group was told they would receive $20 if their scores ranked in the top third of students who completed testing. Test examiners were blinded to condition, and participants were debriefed upon study completion., Results: Given the non-normal distribution of the ImPACT cognitive composites and validity indices, non-parametric statistics were used to compare performance between incentive and control groups. Results of Mann-Whitney U tests revealed no significant differences between groups on the ImPACT cognitive composites (all p > .05, r = .04 to .19). In contrast, compared with the control group, the incentive group performed significantly better on all five validity indices: Impulse Control Composite (p = .036, r = .23); Xs and Os Total Incorrect (p = .035, r = .23); Word Memory Learning Percent Correct (p = .036, r = .23); Design Memory Learning Percent Correct (p = .018, r = .26); and Three Letters Total Letters Correct (p = .027, r = .25)., Conclusions: Expectation of financial incentive did not influence performance on the four cognitive composites-the ImPACT's standard metrics of cognitive function. However, the incentive group, relative to controls, exhibited better performance on each of the five validity indices. These results suggest that ImPACT validity indices are more sensitive to incentive-related changes in effort than the ImPACT cognitive composites, providing support for the validity indicator indices as measures of effort toward testing.

Objective: To characterize employment stability and identify predictive factors of employment stability in working-age individuals after moderate-to-severe traumatic brain injury (TBI) that may be clinically addressed., Design: Longitudinal observational study of an inception cohort from the Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) using data at years 1, 2, and 5 post-TBI., Setting: Inpatient rehabilitation centers with telephone follow-up., Participants: Individuals enrolled in the TBIMS-NDB since 2001, aged 18-59, with employment data at 2 or more follow-up interviews at years 1, 2, and 5 (N=5683)., Interventions: Not applicable., Main Outcome Measure: Employment stability, categorized using post-TBI employment data as no paid employment (53.25%), stably (27.20%), delayed (10.24%), or unstably (9.31%) employed., Results: Multinomial regression analyses identified predictive factors of employment stability, including younger age, white race, less severe injuries, preinjury employment, higher annual earnings, male sex, higher education, transportation independence postinjury, and no anxiety or depression at 1 year post-TBI., Conclusions: Employment stability serves as an important measure of productivity post-TBI. Psychosocial, clinical, environmental, and demographic factors predict employment stability post-TBI. Notable predictors include transportation independence as well as the presence of anxiety and depression at year 1 post-TBI as potentially modifiable intervention targets., (Copyright © 2018 American Congress of Rehabilitation Medicine. All rights reserved.)

Traumatic axonal injury (TAI), a signature injury of traumatic brain injury (TBI), is increasingly known to involve myelin damage. The objective of this study was to demonstrate the clinical relevance of myelin water imaging (MWI) by first quantifying changes in myelin water after TAI and then correlating those changes with measures of injury severity and neurocognitive performance. Scanning was performed at 3 months post-injury in 22 adults with moderate to severe diffuse TBI and 30 demographically matched healthy controls using direct visualization of short transverse component (ViSTa) MWI. Fractional anisotropy (FA) and radial diffusivity (RD) were also obtained using diffusion tensor imaging. Duration of post-traumatic amnesia (PTA) and cognitive processing speed measured by the Processing Speed Index (PSI) from Wechsler Adult Intelligence Scale-IV, were assessed. A between-group comparison using Tract-Based Spatial Statistics revealed that there was a widespread reduction of apparent myelin water fraction (aMWF) in TBI, consistent with neuropathology involving TAI. The group difference map of aMWF yielded topography that was different from FA and RD. Importantly, aMWF demonstrated significant associations with PTA (r = -0.564, p = .006) and PSI (r = 0.452, p = .035). In conclusion, reduced myelin water, quantified by ViSTa MWI, is prevalent in moderate-to-severe diffuse TBI and could serve as a potential biomarker for injury severity and prediction of clinical outcomes., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Recovery from traumatic brain injury (TBI) is heterogeneous, with injury characteristics and neuropathological findings accounting for a relatively modest proportion of the variance in clinical outcome. Furthermore, premorbid personality traits and psychological characteristics may moderate psychosocial recovery. Constructs from the field of positive psychology have been examined in multiple illness populations and are increasingly gaining attention as factors that may influence recovery from TBI. Positive affect, hope, optimism, adaptive coping style, and resilience have all been examined in the context of TBI. These phenomena are of particular interest because they may inform treatment, either by reducing psychological distress and promoting better adjustment, or by augmenting existing therapies to improve engagement. In general, research suggests that higher levels of these factors predict better psychosocial functioning after injury. However, brain injury itself is associated with reduced levels of many of these positive traits, either relative to uninjured control samples or preinjury functioning. There have been proposals for targeting these positive traits in the context of TBI rehabilitation. Although more research is needed, the few controlled trials aimed at improving adaptive coping skills have shown promising results. Other positive psychological phenomena, such as grit, optimism, and positive affect are deserving of further study as potential intervention targets.

Objectives: The goal of the present study was to elucidate the influence of demographic and neuropathological moderators on the longitudinal trajectory neuropsychological functions during the first year after moderate to severe traumatic brain injury (TBI). In addition to examining demographic moderators such as age and education, we included a measure of whole-brain diffuse axonal injury (DAI), and examined measures of processing speed (PS), executive function (EF), and verbal learning (VL) separately., Methods: Forty-six adults with moderate to severe TBI were examined at 3, 6, and 12 months post-injury. Participants underwent neuropsychological evaluation and neuroimaging including diffusion tensor imaging. Using linear mixed effects modeling, we examined longitudinal trajectories and moderating factors of cognitive outcomes separately for three domains: PS, VL, and EF., Results: VL and EF showed linear improvements, whereas PS exhibited a curvilinear trend characterized by initial improvements that plateaued or declined, depending on age. Age moderated the recovery trajectories of EF and PS. Education and DAI did not influence trajectory but were related to initial level of functioning for PS and EF in the case of DAI, and all three cognitive domains in the case of education., Conclusions: We found disparate recovery trajectories across cognitive domains. Younger age was associated with more favorable recovery of EF and PS. These findings have both clinical and theoretical implications. Future research with a larger sample followed over a longer time period is needed to further elucidate the factors that may influence cognitive change over the acute to chronic period after TBI. (JINS, 2018, 24, 237-246).

Objective: The purpose of this study was to determine whether the ε4 allele of the APOE gene influences neurocognitive outcome following sports-related concussion. It was hypothesized that participants with an ε4 allele would show poorer neurocognitive performance and greater neurocognitive variability than those without an ε4 allele., Method: Participants included 57 concussed collegiate athletes (77.2% male) who participated in a concussion management program at a large university. All athletes underwent a comprehensive neuropsychological assessment and provided a DNA sample for determination of their APOE genotype. The test battery included measures sensitive to concussion, covering the broad domains of learning and memory, attention, processing speed, and executive functions., Results: The sample was divided into ε4 + (n = 20) and ε4 - (n = 37) groups. No significant differences were found between athletes with and without an ε4 allele when examining mean neurocognitive standardized scores (all p > .05; d = 0.16-0.18). However, athletes with an ε4 allele were more likely to show a greater number of impaired neurocognitive scores post-injury compared to athletes without an ε4 allele, χ2(1, N = 57) = 3.96, p = < .05, φ = 0.26. Additionally, athletes with an ε4 allele demonstrated greater neurocognitive variability than athletes without an ε4 allele, t(55) = -2.04, p < .05, d = 0.53., Conclusions: This research furthers our understanding of how genetic factors uniquely contribute to neurocognitive performance differences following concussion. Our findings suggest a possible relationship between the ε4 allele and post-concussion impairment, as well as between the ε4 allele and neurocognitive performance variability, suggesting that the ε4 genotype may be a risk factor for less efficient cognitive processing in concussed athletes., (© The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)