People injured in a RTC are at risk of having complex psychological presentations over time. Interventions to prevent mental disorders, especially PTSD, in the early post-injury period are needed to prevent chronic psychological injury, including consideration of comorbidity and dynamic course.

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Sleep disturbance after mild traumatic brain injury (mTBI) is commonly reported as debilitating and persistent. However, the nature of this disturbance is poorly understood. This study sought to characterize sleep after mTBI compared with a control group. A cross-sectional matched case control design was used. Thirty-three persons with recent mTBI (1-6 months ago) and 33 age, sex, and ethnicity matched controls completed established questionnaires of sleep quality, quantity, timing, and sleep-related daytime impairment. The mTBI participants were compared with an independent sample of close-matched controls (CMCs; n = 33) to allow partial internal replication. Compared with controls, persons with mTBI reported significantly greater sleep disturbance, more severe insomnia symptoms, a longer duration of wake after sleep onset, and greater sleep-related impairment (all medium to large effects, Cohen's d > 0.5). No differences were found in sleep quantity, timing, sleep onset latency, sleep efficiency, or daytime sleepiness. All findings except a measure of sleep timing (i.e., sleep midpoint) were replicated for CMCs. These results indicate a difference in the magnitude and nature of perceived sleep disturbance after mTBI compared with controls, where persons with mTBI report poorer sleep quality and greater sleep-related impairment. Sleep quantity and timing did not differ between the groups. These preliminary findings should guide the provision of clearer advice to patients about the aspects of their sleep that may change after mTBI and could inform treatment selection.

The relation between resilience and mild traumatic brain injury (TBI) outcome has been theorized but empirical studies have been scarce. This systematic review aimed to describe the research in this area. Electronic databases (Medline, CINAHL, PsychINFO, SPORTdiscus, and PILOTS) were searched from inception to August 2015 for studies in which resilience was measured following TBI. The search terms included 'TBI' 'concussion' 'postconcussion' 'resilience' and 'hardiness'. Inclusion criteria were peer reviewed original research reports published in English, human participants aged 18 years and over with brain injury, and an accepted definition of mild TBI. Hand searching of identified articles was also undertaken. Of the 71 studies identified, five studies were accepted for review. These studies were formally assessed for risk of bias by two independent reviewers. Each study carried a risk of bias, most commonly a detection bias, but none were excluded on this basis. A narrative interpretation of the findings was used because the studies reflected fundamental differences in the conceptualization of resilience. No studies employed a trajectory based approach to measure a resilient outcome. In most cases, the eligible studies assessed trait resilience with a scale and used it as a predictor of outcome (postconcussion symptoms). Three of these studies showed that greater trait resilience was associated with better mild TBI outcomes (fewer symptoms). Future research of the adult mild TBI response that predicts a resilient outcome is encouraged. These studies could yield empirical evidence for a resilient, and other possible mild TBI outcomes.

The primary objective was to determine if poor sleep predicts postconcussion symptoms in the subacute period after mild traumatic brain injury (TBI). The impact of poor sleep pre- and post-injury was examined. The research design was cross-sectional. After screening to detect response invalidity, 61 individuals with a self-reported history of mild TBI 1-to-6 months prior answered an online fixed order battery of standardized questionnaires assessing their sleep (current and preinjury) and persistent postconcussion symptoms (Neurobehavioral Symptom Inventory, minus sleep, and fatigue items). The sleep measures were the Insomnia Severity Index, Epworth Sleepiness Scale, a single Likert-scale pre-injury sleep quality rating, and two PROMIS™ measures (sleep-related impairment and sleep disturbance). After controlling for the effects of preinjury sleep quality and demographics, the combination of the sleep measures made a significant contribution to the outcome (F[8,58] = 4.013, p = .001, [Formula: see text]). Only current sleep-related impairment (ß = .60, p < .05) made a significant and unique contribution to neurobehavioral symptoms. Preinjury sleep was not a predictor (ß = -.19, p > .05), although it contributed 3% of the variance in NSI scores after controlling for demographics. Sleep-related impairment is a modifiable factor. As a significant contributor to neurobehavioral symptoms, treatment for post-injury sleep-related impairment warrants further attention.