Faculty Bibliography

OBJECTIVE:To examine the experience of menopause symptoms in women with traumatic brain injury (TBI). DESIGN/METHODS:Cross-sectional descriptive study. SETTING/METHODS:Five sites of the TBI Model Systems (TBIMS) program. PARTICIPANTS/METHODS:Participants were 210 women, ages 40-60 years, who were not taking systemic hormones and did not have both ovaries removed: Sixty-one participants were enrolled in the TBIMS, who were at least 2 years post TBI and living in the community. One hundred forty-nine participants without TBI were recruited from a research registry and the metropolitan Detroit community. INTERVENTIONS/METHODS:Not applicable. MAIN OUTCOME MEASURES/METHODS:A checklist comprised of 21 menopause symptoms assessing four symptom clusters (vasomotor, somatic, psychological, and cognitive). RESULTS:TBI and non-TBI groups did not significantly differ and showed small effect sizes on vasomotor symptoms. On the remaining symptom clusters, women with TBI showed greater presence and severity of symptoms than women without TBI, as well as fewer differences between premenopausal and postmenopausal women on those symptoms. A profile indicating an additive or potentiating effect of TBI on menopause symptoms was not observed. CONCLUSIONS:Findings support a conceptual model of menopause and TBI indicating that symptoms most closely associated with estrogen decline are similar for women with and without TBI, whereas symptoms that overlap with common TBI sequelae are generally more frequent and severe among these women. Likely due to lower baseline of symptoms premenopause, postmenopausal women without TBI reported more numerous and severe symptoms relative to their premenopausal counterparts without TBI. Overall, it may be that women without TBI experience menopause as more of a "change" of life, whereas women with TBI chronically face significantly more of these symptoms than women without TBI.

OBJECTIVES/OBJECTIVE:To identify personal, clinical, and environmental factors associated with 4 previously identified distinct multidimensional participation profiles of individuals following traumatic brain injury (TBI). SETTING/METHODS:Community. PARTICIPANTS/METHODS:Participants (n = 408) enrolled in the TBI Model Systems (TBIMS) Participation Module, all 1 year or more postinjury. DESIGN/METHODS: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/METHODS: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.

OBJECTIVES/OBJECTIVE:Alexithymia an emotional processing deficit that interferes with a person's ability to recognize, express, and differentiate emotional states. Study objectives were to (1) determine rates of elevated alexithymia among people with moderate-to-severe traumatic brain injury (TBI) 1-year post-injury, (2) identify demographic and injury-related variables associated with high versus low-average levels of alexithymia, and (3) examine associations among alexithymia with other aspects of emotional functioning and life satisfaction. SETTING/METHODS:Data were collected during follow-up interviews across four TBI Model System (TBIMS) centers. PARTICIPANTS/METHODS:The sample consisted of 196 participants with moderate-to-severe TBI enrolled in the TBIMS. They were predominately male (77%), White (69%), and had no history of pre-injury mental health treatment (66.3%). DESIGN/METHODS:Cross-sectional survey data were obtained at study enrollment and 1-year post-injury. MAIN MEASURES/METHODS:Toronto Alexithymia Scale-20 (TAS-20) as well as measures of anger, aggression, hostility, emotional dysregulation, post-traumatic stress, anxiety, depression, resilience and life satisfaction. Sociodemographic information, behavioral health history and injury-related variables were also included. RESULTS:High levels of alexithymia (TAS-20 score > 1.5 standard deviation above the normative mean) were observed for 14.3%. Compared to individuals with low/average levels of alexithymia, the high alexithymia group tended to have lower levels of education. At 1-year follow-up, high TAS-20 scores were strongly associated with emotional dysregulation and post-traumatic stress; moderately associated with anger, hostility, depression, anxiety, lower resilience and lower satisfaction with life; and weakly associated with aggression. CONCLUSION/CONCLUSIONS:These findings provide further evidence that alexithymia is associated with poor emotional functioning and life satisfaction after TBI. Longitudinal studies are needed to determine if alexithymia is a risk factor that precipitates and predicts worse emotional outcomes in the TBI population. This line of work is important for informing treatment targets that could prevent or reduce of psychological distress after TBI.

OBJECTIVE:To examine the unique contribution of alexithymia at 1 year after traumatic brain injury (TBI) to the prospective prediction of emotional and social health outcomes at 2 years after injury. DESIGN/METHODS:Multicenter, longitudinal cohort study. SETTING/METHODS:Data were collected during year 1 and year 2 postinjury follow-up interviews across 4 TBI Model System centers. PARTICIPANTS/METHODS:Persons with TBI (N=175; 134 men and 41 women) who had English fluency and were capable of providing self-reported data. INTERVENTIONS/METHODS:Not applicable. MAIN OUTCOME MEASURES/METHODS:Primary independent variable was the Toronto Alexithymia Scale-20. Outcome measures included the Interpersonal Reactivity Index, National Institute of Health Toolbox Emotion Battery Anger, Difficulty with Emotion Regulation Scale, Connor-Davidson Resilience Scale, Posttraumatic Stress Disorder Checklist - Civilian, Satisfaction with Life Scale, General Anxiety Disorder-7, Patient Health Questionnaire 9, suicidal ideation, and problematic substance use. RESULTS:Simple adjusted models demonstrated that after controlling for the specific outcome at year 1, Toronto Alexithymia Scale-20 scores significantly predicted year 2 scores for perspective-taking, physical aggression, emotional dysregulation, resilience, anxiety, depression, and suicidal ideation. All of these predictive findings except for physical aggression were maintained in the fully adjusted models that also controlled for age, sex, education level, number of prior TBIs, and motor and cognitive functioning. CONCLUSIONS:Compared with those with lower alexithymia scores, persons with TBI who had higher alexithymia scores at 1 year after injury reported poorer emotional health at 2 years after TBI, even after controlling for year 1 outcome scores, sociodemographic characteristics, and injury-related factors. These results support the need to assess for elevated alexithymia and to provide interventions targeting alexithymia early in the TBI recovery process.

OBJECTIVE:To synthesize evidence for the effectiveness of self-management interventions for chronic health conditions that have symptom overlap with traumatic brain injury (TBI) in order to extract recommendations for self-management intervention in persons with TBI. DESIGN/METHODS:An umbrella review of existing systematic reviews and/or meta-analyses of randomized controlled trials or nonrandomized studies targeting self-management of chronic conditions and specific outcomes relevant to persons with TBI. METHOD/METHODS:A comprehensive literature search of 5 databases was conducted using PRISMA guidelines. Two independent reviewers conducted screening and data extraction using the Covidence web-based review platform. Quality assessment was conducted using criteria adapted from the Assessing the Methodological Quality of Systematic Reviews-2 (AMSTAR-2). RESULTS:A total of 26 reviews met the inclusion criteria, covering a range of chronic conditions and a range of outcomes. Seven reviews were of moderate or high quality and focused on self-management in persons with stroke, chronic pain, and psychiatric disorders with psychotic features. Self-management interventions were found to have positive effects on quality of life, self-efficacy, hope, reduction of disability, pain, relapse and rehospitalization rates, psychiatric symptoms, and occupational and social functioning. CONCLUSIONS:Findings are encouraging with regard to the effectiveness of self-management interventions in patients with symptoms similar to those of TBI. However, reviews did not address adaptation of self-management interventions for those with cognitive deficits or for populations with greater vulnerabilities, such as low education and older adults. Adaptations for TBI and its intersection with these special groups may be needed.

BACKGROUND/UNASSIGNED:To elucidate the sociodemographic and study factors involved in enrollment in the Traumatic Brain Injury Model System (TBIMS) database, this study examined the effect of a variety of variables on enrollment at a local TBIMS center. METHODS/UNASSIGNED:A sample of 654 individuals from the local TBIMS center was studied examining enrollment by age, gender, race, ethnicity, homelessness status at date of injury, history of homelessness, health insurance status, presence of social support, primary language, consenting in hospital or after discharge, and the need for an interpreter. Binary logistic regression was conducted to identify variables that predict center-based enrollment into TBIMS. RESULTS/UNASSIGNED: < 0.01). Here, OR denotes the odds ratio estimate from a logistic regression model and P denotes the corresponding p-value. CONCLUSIONS/UNASSIGNED:These results can be useful in driving enrollment strategies at this center for other similar TBI research, and to contribute a representative TBI sample to the national database.

Ionic imbalances and sodium channel dysfunction, well-known sequelae of traumatic brain injury (TBI), promote functional impairment in affected subjects. Therefore, non-invasive measurement of sodium concentrations using ²³Na MRI has the potential to detect clinically relevant injury and predict persistent symptoms. Recently, we reported diffusely lower apparent total sodium concentrations (aTSC) in mild TBI patients compared to controls, as well as correlations between lower aTSC and worse clinical outcomes. The main goal of this study was to determine whether these aTSC findings, and their changes over time, predict outcomes at 3- and 12-month from injury. Twenty-seven patients previously studied with ²³Na MRI and outcome measures at 22 ± 10 days (average ± standard deviation) after injury (visit-1, v1) were contacted at 3- (visit-2, v2) and 12-month after injury (visit-3, v3) to complete the Rivermead post-concussion symptoms questionnaire (RPQ), the extended Glasgow outcome scale (GOSE), and the brief test of adult cognition by telephone (BTACT). Follow-up ¹H and ²³Na MRI were additionally scheduled at v2. Linear regression was used to calculate aTSC in global grey and white matters. Six hypotheses were tested in relation to the serial changes in outcome measures and in aTSC, and in relation to the cross-sectional and serial relationships between aTSC and outcome. Twenty patients contributed data at v2 and fifteen at v3. Total RPQ and composite BTACT z-scores differed significantly for v2 and v3 in comparison to v1 (each P < 0.01), reflecting longitudinally reduced symptomatology and improved performance on cognitive testing. No associations between aTSC and outcome were observed at v2. Previously lower grey and white matter aTSC normalized at v2 in comparison to controls, in line with a statistically detectable longitudinal increase in grey matter aTSC between v1 and v2 (P = 0.0004). aTSC values at v1 predicted a subset of future BTACT subtest scores, but not future RPQ scores nor GOSE-defined recovery status. Similarly, aTSC rates of change correlated with BTACT rates of change, but not with those of RPQ. Tissue aTSC, previously shown to be diffusely decreased compared to controls at v1, was no longer reduced by v2, suggesting normalization of the sodium ionic equilibrium. These changes were accompanied by marked improvement in outcome. The results support the notion that early aTSC from ²³Na MRI predicts future BTACT, but not RPQ scores, nor future GOSE status.

With greater survival rates after catastrophic injury, more women with traumatic brain injury (TBI) are living longer than ever. However, knowledge about this transition in these women is largely unexamined and there are no scales that have been developed to assess the experience of symptoms. To address this gap, we developed and tested a new scale of menopause symptoms in midlife women with TBI. We selected candidate items from two existing measures based on feedback from focus group discussions with seven women with TBI. Twenty candidate items were tested in cognitive interviews with six women with TBI/1 non-TBI. Then, these were field tested with 221 participants (TBI, n = 68; non-TBI, n = 153) recruited from registries. Rasch analysis and convergent validity testing were used to evaluate the new scale. Results of the Rasch analysis indicate that overall, the scale fits well the Rasch model with evidence for unidimensionality. Differential item functioning indicated that the scale performed equally well for women with and without TBI and distinguished pre- and post-menopausal states. Convergent validity was found in the expected directions. These findings support further development of the new scale to understand the experience of menopause symptoms among women with TBI.

INTRODUCTION:There is a growing population of women with limb loss, yet limited research is available to provide evidentiary support for clinical decision-making in this demographic. As such, there is a critical gap in knowledge of evidence-based healthcare practices aimed to maximise the physical and psychosocial needs of women with limb loss. The objective of this study is to develop a comprehensive, survey-based needs assessment to determine the unique impact of limb loss on women, including physical and psychosocial needs. METHODS AND ANALYSIS:A bank of existing limb loss-specific and non-limb loss-specific surveys were arranged around domains of general health, quality of life, prosthetic use and needs, psychosocial health and behaviours and body image. These surveys were supplemented with written items to ensure coverage of relevant domains. Written items were iteratively refined with a multidisciplinary expert panel. The interpretability of items and relevance to limb loss were then internally tested on a small group of rehabilitation, engineering and research professionals. A diverse sample of 12 individuals with various levels of limb loss piloted the instrument and participated in cognitive interviews. Items from existing surveys were evaluated for relevance and inclusion in the survey, but not solicited for content feedback. Pilot testing resulted in the removal of 13 items from an existing survey due to redundancy. Additionally, 13 written items were deleted, 42 written items were revised and 17 written items were added. The survey-based needs assessment has been crafted to comprehensively assess the wide spectrum of issues facing women with limb loss. The final version of the survey-based needs assessment included 15 subsections. ETHICS AND DISSEMINATION:This study was approved by the Veterans Affairs Central Institutional Review Board. The results will be disseminated through national and international conferences, as well as through manuscripts in leading peer-reviewed journals. TRIAL REGISTRATION NUMBER:No healthcare intervention on human participants was conducted.