Associations of Nightmares and Sleep Disturbance With Neurobehavioral Symptoms Postconcussion.

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 (ß = .362, P < .001), anxiety (ß = .332, P < .001), and impulsivity (ß = .270, P < .001) after adjusting for age and sex. Overall sleep disturbance had the strongest association with depression (ß = .493, P < .001), fatigue (ß = .449, P < .001), self-reported executive dysfunction (ß = .376, P < .001), and overall burden from concussive symptoms (ß = .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.

Neurobehavioral Symptom Profiles for the Behavioral Assessment Screening Tool in Chronic Traumatic Brain Injury.

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.

Mood Tracker: A Randomized Controlled Trial of a Self-Monitoring Intervention for Emotional Distress After Traumatic Brain Injury.

OBJECTIVE: Persons with traumatic brain injury (TBI) frequently experience emotional distress (ED) manifested in anxiety and depression. However, they may not access mental health services due to external (eg, access, transportation, and cost) or internal (eg, stigma and discomfort with traditional counseling) barriers. Based on substantial literature indicating that self-monitoring can ameliorate several health conditions, we conducted a randomized, parallel group, wait-list control (WLC) trial of a self-monitoring intervention to decrease ED after TBI. SETTING: Community in the southwestern United States. PARTICIPANTS: Persons with medically documented complicated mild, moderate, and severe TBI. DESIGN: About 127 participants were randomized in blocks of 6 to an active treatment (AT) group, wherein they completed multiple assessments of ED each week over a 6-week period via a smartphone app, or a WLC group in a parallel group, controlled trial. Participants received weekly support calls to promote self-monitoring of ED using ecological momentary assessment. MAIN MEASURES: ED (Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7), Satisfaction with Life Scale, and Participation Assessment with Recombined Tools-Objective. RESULTS: Analysis of the primary study outcome at 6 weeks after initiation of treatment for the AT group did not demonstrate that self-monitoring was effective in decreasing ED as compared to the WLC group. Brief support calls made weekly to promote compliance with self-monitoring were effective in achieving the target number of self-assessments. About 80% of support calls lasted less than 5 minutes. Greater ED was associated with lower life satisfaction and lower participation indicating the importance of addressing ED in persons with TBI. CONCLUSION: Additional work is needed to develop nontraditional interventions to circumvent barriers that prevent persons with TBI from accessing care for ED. Brief support calls may be an effective, low-cost intervention to improve compliance with self-monitoring or self-management interventions.

Characterizing Health Literacy and Its Correlates Among Individuals With Traumatic Brain Injury (TBI): A TBI Model Systems Study.

OBJECTIVE: To characterize health literacy among individuals with traumatic brain injury (TBI) at least a year postinjury and to explore its relationship to sociodemographic variables, injury severity, and cognition. SETTING: Community following discharge from inpatient rehabilitation. PARTICIPANTS: In total, 205 individuals with complicated mild to severe TBI who completed follow-up as part of a national longitudinal study of TBI and completed a web-based health literacy measure. DESIGN: Multicenter, cross-sectional, observational study. MAIN MEASURES: Health Literacy Assessment Using Talking Touchscreen Technology. RESULTS: Thirty-one percent of the sample demonstrated marginal/inadequate health literacy; 69% demonstrated adequate health literacy. A higher proportion of non-Hispanic White adults had adequate health literacy than non-Hispanic Black and Hispanic adults. Individuals with greater than a high school education were more likely to have adequate health literacy than those with a high school education or less. Better executive functioning performance was related to adequate health literacy. Better episodic memory performance was related to adequate health literacy, but only for those with complicated mild to moderate injury. CONCLUSIONS: A substantial proportion of individuals with TBI have marginal/inadequate health literacy, which may impact their understanding, appreciation, and use of health-related information and recommendations. While low health literacy may be preexisting, directly related to TBI, or a combination of both, it should be screened and considered by professionals when communicating with persons with TBI. Healthcare providers should tailor their communication approaches and presentation of health information, particularly for those with low health literacy.

Association Between Participation and Satisfaction With Life Over Time in Older Adults With Traumatic Brain Injury: A TBI Model Systems Study.

OBJECTIVE: To examine the association between participation and satisfaction with life at 1, 2, 5, and 10 years after traumatic brain injury (TBI) in older adults. SETTING: Community. PARTICIPANTS: Participants ( N = 2362) who sustained complicated mild to severe TBI, requiring inpatient rehabilitation, at age 60 years or older and had follow-up data on participation and satisfaction with life for at least 1 follow-up time point across 1, 2, 5, and 10 years. Age at each time period was categorized as 60 to 64 years, 65 to 75 years, and 75 years or older. DESIGN: Secondary data analysis of a large multicenter database. MAIN MEASURES: Three domains (Productivity, Social Relations, Out and About) of the Participation Assessment With Recombined Tools-Objective (PART-O); Satisfaction With Life Scale (SWLS). RESULTS: SWLS increased over the 10 years after TBI and was significantly associated with greater frequency of participation across all domains. There was a significant interaction between age and PART-O Social Relations such that there was a weaker relationship between Social Relations and SWLS in the oldest group (75 years or older). There was no interaction between Productivity or Out and About and age, but greater participation in both of these domains was associated with greater life satisfaction across age groups. CONCLUSIONS: These findings indicate that greater participation is associated with increased satisfaction with life in older adults, across all participation domains over the first 10 years postinjury, suggesting that rehabilitation should target improving participation even in older adults. The decreased association of social relations with satisfaction with life in the oldest age group suggests that frequency of social relations may not be as important for life satisfaction in the oldest adults, but quality may still be important.

Predictors of Multidimensional Profiles of Participation After Traumatic Brain Injury: A TBI Model Systems Study.

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 Functional Independence Measure 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.

The TBI Model Systems Neighborhood Socioeconomic Disadvantage Index (TBIMS-NSDI): Development and Comparison to Individual Socioeconomic Characteristics.

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.

10-year variability in high and low life satisfaction trajectories post-traumatic brain injury: a TBI model systems study.

PURPOSE: To determine how life satisfaction changes across the first 10 years following traumatic brain injury (TBI). METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Age-related smartphone use patterns among individuals with moderate-to-severe traumatic brain injury.

OBJECTIVE: 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). METHODS: 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.). RESULTS: 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). CONCLUSIONS: 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.

Insights into optimizing phantom pain management: A human-centered approach to end-user perspectives.

BACKGROUND: This report explores and summarizes perspectives from end users on unmet needs in achieving optimal and effective phantom pain management through a human-centered design approach. OBJECTIVE: To examine current strategies, pharmacological, nonpharmacological, surgical procedures, virtual reality, and mirror therapy, and the evidence supporting them, in the management of phantom limb pain. DESIGN: This study reviewed and analyzed transcripts acquired in nonresearch contexts from the Veterans Affairs Translational Education and Mentoring Center's commercialization training program and from a Veteran Engagement Panel. Key themes were extracted using quasi-qualitative analysis of one-on-one interviews. RESULTS: Clinicians and patients report that early patient intervention and education will yield improved management of phantom limb pain, which aligns with the growing recognition of the impact of patient-centered care on overall treatment outcomes. Mirror therapy is viewed as an effective and low-risk therapy, though compliance and buy-in may be barriers to clinical practice. Patient engagement can contribute to better treatment adherence and outcomes. CONCLUSION: The study highlights implementation barriers, importance of end-user input, and the role of the Veteran Engagement Panel in providing feedback to pain researchers. The findings help explain unaddressed challenges and areas requiring further research to direct phantom pain management.

Characterization of telerehabilitation visits and patient satisfaction in outpatient physical medicine and rehabilitation clinics from March 2020 to November 2021.

OBJECTIVE: To explore the usability of and satisfaction with telerehabilitation services provided to rehabilitation patients with various diagnoses at two large urban medical facilities during the Covid-19 pandemic. DESIGN: This was a usability study and all patients that received telerehabilitation services from March 2020 to November 2021 were included. Of the 4,070 surveys sent via mail or email links to RedCap, 405 were completed (10% Response Rate). Participants completed demographic surveys, surveys on the telerehabilitation visit characteristics, telerehabilitation usability, and overall satisfaction with the visit. RESULTS: Patients were mostly women (64.4%), White, non-hispanic (74.3%) and English speaking (99%). Most patients were seen via telerehabilitation due to Covid-19 restrictions (37.1%). Patients were generally satisfied with their telerehabilitation visit (3.64 out of 4). Additionally, patients generally found telerehab to be useful (6.4 out of 7), easy to use (6.3 out of 7), effective (6.2 out of 7), satisfactory (6.3 out of 7) and comparable to in-person visits (6.5 out of 7). CONCLUSION: Patients generally reported feeling satisfied and comfortable with telerehabilitation visits, and felt they were comparable to in-person visits. Future research should examine the impact of socioeconomic factors on telerehabilitation use, with a focus on education level and non-English speakers.

Convergent, discriminant, and known groups validity of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury.

The Behavioral Assessment Screening Tool (BAST) measures self-reported neurobehavioral symptoms commonly experienced by adults with traumatic brain injury (TBI). To assess the convergent, discriminant, and known-groups validity of the BAST among community-dwelling adults with chronic traumatic brain injury (TBI), we conducted correlation analyses and tests of group differences with previously validated symptom measures in two samples (n = 111, n = 134). Measures used for comparison were: Patient Health Questionnaire (depression), Generalized Anxiety Disorder-7 (anxiety), Positive and Negative Affect Schedule, Frontal Systems Behavior Scale (Executive Dysfunction, Apathy, Disinhibition), Modified Fatigue Impact Scale, PROMIS Fatigue, Aggression Questionnaire (anger, hostility, physical and verbal aggression), and Alcohol Use Disorders Test (alcohol misuse). BAST subscales had stronger correlations with measures of similar (|r|=.602-.828, p < .001) and related (|r|>.30, p < .001) constructs and weaker correlations (|r|<.300) with measures of dissimilar/unrelated constructs, supporting hypotheses of convergent and discriminant validity, respectively. Statistically significant group differences (p's < .001) in BAST subscales were found, with large effect sizes (Cohen's d = 1.2-1.9), for known-groups with moderate-severe depression, moderate-severe anxiety, clinically significant fatigue, problematic disinhibited and frontal-executive behaviors, and alcohol use. Conclusions: Results support the convergent and discriminant validity of the BAST subscales. The BAST was specifically developed as a self-reported measure for remote symptom reporting, supporting its incorporation into mobile health platforms to improve chronic symptom monitoring in community-dwelling adults with TBI. With further validation research, the BAST could be used for early identification of persons with TBI who could benefit from intervention.

Longitudinal associations of time-varying homeboundness and life satisfaction after traumatic brain injury.

PURPOSE/OBJECTIVE: To examine the association of changes in homebound status (i.e., never/rarely leaving the home) with life satisfaction in the first 10 years after traumatic brain injury (TBI). RESEARCH METHOD/DESIGN: We analyzed data from 2,294 individuals with moderate-to-severe TBI from the TBI Model Systems National Database using a longitudinal multilevel model with time-varying predictors to account for within-person changes over time as well as between-person differences. We measured homebound status (defined as leaving the home ≤ 2 days/week) and life satisfaction (defined as the total score on the Satisfaction With Life Scale) at 1, 2, 5, and 10 years post-TBI. We adjusted the models for demographic and injury-related covariates and used inverse probability weighting to account for selection bias. RESULTS: Forty-five (2%) individuals were homebound at all follow-up visits, 523 (22.8%) were homebound at least one follow-up visit, and 1,726 (75.2%) were never homebound. Individuals with TBI who were consistently homebound had > 1 SD lower life satisfaction compared to those who were never homebound, ß = -8.07, 95% confidence interval (CI) = [-9.39, -6.76], p < .001. Individuals who became homebound experienced a significant, but modest, decline in life satisfaction (ß = -2.13, 95% CI = [-2.66, -1.61], p < .001). CONCLUSIONS/IMPLICATIONS: Our results indicate that being homebound and becoming homebound are associated with decreased life satisfaction. Homeboundness is a potentially modifiable target to improve life satisfaction, and elucidation of contributing factors to homebound status will help develop interventions to ameliorate post-TBI homeboundness. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Erratum to "Branching out: Feasibility of examining the effects of greenspace on mental health after traumatic brain injury" [Dialogues in Health, Volume 2, 2023, 100129].

[This corrects the article DOI: 10.1016/j.dialog.2023.100129.].

Community-based exercise program, self-reported health-related symptoms, and quality of life in persons with traumatic brain injury 45 + years old.

BACKGROUND: Individuals with moderate to severe traumatic brain injury (msTBI) have reported a lack of motivation, lack of time, and fatigue as perceived barriers to exercise. OBJECTIVE: To evaluate the effects of an exercise program on self-reported health-related symptoms and quality of life in persons 45-years and older with msTBI. METHODS: Post-hoc analysis of a prospective community-based 12-week exercise program of 20 adults, age 45-80 years, with msTBI. Ten were in aerobic exercise training (AET) program and 10 in a stretching and toning (SAT) program. The AET group was instructed to exercise based on their estimated maximal heart rate (HR) for 150 minutes weekly. The SAT group was to stretch for the same target time without significantly increasing HR or level of exertion. Outcome measures were Traumatic Brain Injury Quality of Life (TBI-QOL) for global, cognitive, emotional, and social health, Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms, and Pittsburgh Sleep Quality Index (PSQI) for sleep quality. RESULTS: AET was associated with improved self-reported cognitive health and sleep compared to SAT. Moderate to large, positive effect sizes were also observed in the AET group in the QOL categories of global, emotional, and social health, and depressive symptoms. CONCLUSIONS: This study offers preliminary evidence that AET may improve health-related QOL, especially for cognition and sleep, in middle-aged and older adults with msTBI.

Branching out: Feasibility of examining the effects of greenspace on mental health after traumatic brain injury.

Aim: This pilot study's aim was to determine the feasibility of examining the effects of an environmental variable (i.e., tree canopy coverage) on mental health after sustaining a brain injury. Methods: A secondary data analysis was conducted leveraging existing information on mental health after moderate to severe traumatic brain injury (TBI) from the TBI Model System. Mental health was measured using PHQ-9 (depression) and GAD-7 (anxiety) scores. The data were compared with data on tree canopy coverage in the state of Texas that was obtained from the Multi-Resolution Land Characteristics (MRLC) Consortium using GIS analysis. Tree canopy coverage as an indicator of neighborhood socioeconomic status was also examined using the Neighborhood SES Index. Results: Tree canopy coverage had weak and non-significant correlations with anxiety and depression scores, as well as neighborhood socioeconomic status. Data analysis was limited by small sample size. However, there is a higher percentage (18.8%) of participants who reported moderate to severe depression symptoms in areas with less than 30% tree canopy coverage, compared with 6.6% of participants who endorsed moderate to severe depression symptoms and live in areas with more than 30% tree canopy coverage (there was no difference in anxiety scores). Conclusion: Our work confirms the feasibility of measuring the effects of tree canopy coverage on mental health after brain injury and warrants further investigation into examining tree canopy coverage and depression after TBI. Future work will include nationwide analyses to potentially detect significant relationships, as well as examine differences in geographic location.