Alcohol-related motor vehicle crashes are a major preventable cause of death in the United States. One potential factor that may modulate the influence of alcohol intoxication on driving-related decision-making is posttraumatic stress. The current study evaluated the influence of induction of acute trauma-related stress (via script-driven imagery) during alcohol intoxication (.06% BrAC) on driving-related risky decision-making – willingness to drive, driving-related decision-making (i.e., attempted red light runs), and driving-related reaction time (i.e., braking latency) – among 56 trauma-exposed (currently symptomatic) adult drinkers from the community (M = 25.32; 46.4% female). Results indicated that trauma-related stress may exacerbate willingness to drive during a state of acute alcohol intoxication, but, alternatively, may have only a minimal-to-moderate effect on performance-based, driving-related decision-making (i.e., red light runs), and a potentially mitigating impact on driving-related reaction time (i.e., braking latency) under the influence of alcohol. Generally, results suggest that trauma-related stress may differentially impact varying aspects of driving-related risky decision-making, above and beyond the influence of alcohol. Implications for theoretical modeling for driving-related decision-making during acute intoxication and for the advancement of education and intervention efforts, as well as suggestions for future directions, including methodological and procedural improvements, are discussed.

As part of an effort to understand psychological consequences among family members of patients sustaining a traumatic injury, medical research has turned to the role of resilience – or the ability to bounce back from and maintain psychological well-being in the wake of an adverse event— in mitigating the potential distress (i.e., depression and burden) of caregiving (Bonanno, 2004; Roberson et al., under review). This study sought to examine the ability for trait-resilience to predict trajectories of distress over the course of a year among 124 family members and loved ones of patients admitted to a Level I Trauma Center. A cross-lagged path model examining resilience, burden, and depression at baseline, 3, 6, and 12 months after injury showed that, while depression strongly predicted later burden, resilience was not a significant predictor of either outcome in the model. When depression and burden were subjected to a person-centered analysis (i.e., latent growth curve analysis), two major classes were identified: caregivers with high, chronic distress (33% of the sample) and low-moderate distress that declined over time. A three-class solution for caregiver burden further identified a moderate, increasing trajectory class. Predictive discriminant analyses revealed that trait-resilience was a major differentiating trait between class …