Differentiating the effects of negative state on optimism and the implicit perception of everyday injury risk

To date no research has examined the effects of negative state on the perception of everyday injury risk. Instead, studies have focussed more broadly on the relationship between mood and self- reported optimism. The present study had two aims. Firstly, to assess the effect of incidental anxiety on implicit injury risk perception using a modified Implicit Association Test (IAT). Secondly, it sought to compare any effect with that on a conventional measure of risk perception (optimism). In line with previous research, anxious participants perceived more risk (were less optimistic). In contrast, there was no significant correlation between anxiety and the implicit perception of everyday injury risk. Theoretical and practical implications are discussed

Differentiating the effects of negative state on optimism and the implicit perception of everyday injury risk

To date no research has examined the effects of negative state on the perception of everyday injury risk. Instead, studies have focussed more broadly on the relationship between mood and self- reported optimism. The present study had two aims. Firstly, to assess the effect of incidental anxiety on implicit injury risk perception using a modified Implicit Association Test (IAT). Secondly, it sought to compare any effect with that on a conventional measure of risk perception (optimism). In line with previous research, anxious participants perceived more risk (were less optimistic). In contrast, there was no significant correlation between anxiety and the implicit perception of everyday injury risk. Theoretical and practical implications are discussed

Identification and Validation of a Predicted Risk-Taking Propensity Model Among General Aviation Pilots

Risk-taking, a persistent topic of interest and concern in aviation, has been linked with unsafe behaviors and accidents. However, risk-taking propensity is a complex construct that encompasses numerous factors still being researched. Even within the limited research available about the factors affecting pilots’ risk-taking propensity, studies have yielded inconsistent results. Therefore, this quantitative study explores existing and novel factors that predict the propensity for risk-taking among general aviation (GA) pilots in the United States. This study, conducted in two stages, involved developing a prediction model using backward stepwise regression to predict pilots’ risk propensity, followed by model fit testing using additional sampling to validate the predicted model. Data was gathered using surveys from multiple local Experimental Aircraft Association (EAA) chapters in Central Florida and from Embry-Riddle Aeronautical University, Daytona Beach campus. In Stage 1, the model was constructed based on data obtained from 100 participants. Stage 2 involved validating the model using responses from another 100 participants who answered the same set of questions as in Stage 1. Model validation encompassed three methods: correlation analysis, t-test, and cross-validity coefficient. The results from these analyses demonstrated a strong fit between the regression model and the Stage 2 data, affirming the accuracy of the prediction model. The analysis identified a model comprising seven significant predictors among a set of 12, accounting for 76% of the variance, with an adjusted R2 of 75%, influencing the risk-taking propensity among GA pilots. These predictors included age, total flight hours, number of flight ratings, number of hazardous events, self-efficacy, psychological distress, and locus of control. Model prediction and cross-validation were employed to enhance the findings’ rigor and generalizability. Practical applications and suggested areas for future studies are also discussed

Motorcycle safety research project: Interim summary report 3: training and licensing interventions for risk taking and hazard perception for motorcyclists

Motorcycle trauma is a serious road safety issue in Queensland and throughout Australia. In 2009, Queensland Transport (later Transport and Main Roads or TMR) appointed CARRS-Q to provide a three-year program of Road Safety Research Services for Motorcycle Rider Safety. Funding for this research originated from the Motor Accident Insurance Commission. This program of research was undertaken to produce knowledge to assist TMR to improve motorcycle safety by further strengthening the licensing and training system to make learner riders safer by developing a pre-learner package (Deliverable 1), and by evaluating the QRide CAP program to ensure that it is maximally effective and contributes to the best possible training for new riders (Deliverable 2). The focus of this report is Deliverable 3 of the overall program of research. It identifies potential new licensing components that will reduce the incidence of risky riding and improve higher-order cognitive skills in new riders

The Experience of Racism on Behavioral Health Outcomes: the Moderating Impact of Mindfulness

Research shows that racial discrimination results in adverse behavioral health outcomes for African–American young adults, including risk for depression, anxiety, and substance use. Although high levels of mindfulness have been shown to reduce risk for such health outcomes, it is unknown whether mindfulness can reduce risk as a consequence of racial discrimination, particularly among African Americans. Three-hundred and eighty-eight African–American young adults between the ages of 18 and 24 (M = 20.6, 62% female) completed measures assessing past-year experiences of racial discrimination, depressive symptoms, anxiety symptoms, alcohol use, and trait mindfulness. A positive correlation was found between racial discrimination and the behavioral health outcomes, as well as a negative correlation between mindfulness and the behavioral health outcomes. Moreover, mindfulness was found to significantly moderate the effect of racial discrimination on mood symptoms. Although mindfulness was found to lessen the effect of racial discrimination on alcohol use, this difference was not statistically significant. In line with previous literature, racial discrimination was shown to have a negative impact on behavioral health outcomes among African Americans. Moreover, our findings provide support for the buffering effect of mindfulness on mood symptoms as a consequence discrimination. This suggests that increasing mindfulness may be an effective strategy to include in interventions targeting improvement in mood symptoms for African–American young adults. However, alternative strategies may be more appropriate to address outcomes, such as alcohol use, as a consequence of racial discrimination