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Driving services offered were primarily related to screening compared with assessment or intervention. Occupational therapists would benefit from driving-related professional training aimed at enhancing professional capacity in this arena.

Purpose The postdoctoral position was originally created as a short training period for PhD holders on the path to becoming university professors; however, the single-purpose paradigm of training has evolved considerably over time. The purpose of this paper is to report on the opportunities and challenges faced by postdocs as they navigate this complex training period. Design/methodology/approach To better understand the changes in postdoctoral training the Canadian Association of Postdoctoral Scholars – l’Association Canadienne des Stagiaires Postdoctoraux (CAPS-ACSP) conducted three professional national surveys of postdocs working in Canada and Canadian postdocs working internationally. Using the data from each survey, the authors investigated demographics, career goals and mental health and developed a theory-based path model for predicting postdoctoral training satisfaction, using structural equation modeling. Findings The analysis revealed that during their training postdocs face mental health symptoms, which play a role in job satisfaction. Additionally, predictors of satisfaction with career training were opportunities for skills development and encouragement from supervisors. Predictors of satisfaction with compensation were salary, skills training, mental health and encouragement from supervisors. Originality/value This first in-depth analysis of mental health symptoms illuminates the postdoc experience in academia. The study highlights the need for substantive changes to address the challenges facing postdoctoral training in the current research model in North America.

Our findings suggest that technologies designed to signal intended future tasks should target those tasks with inherently low-salience memory cues. In addition, increasing the salience of memory cues is most likely to benefit pilots with lower levels of cognitive health in high-workload conditions.

Abstract. Identifying pilot attributes associated with risk is important, especially in general aviation where pilot error is implicated in most accidents. This research examined the relationship of pilot age, expertise, and cognitive functioning to deviations from an ideal circuit trajectory. In all, 54 pilots, of varying age, flew a Cessna 172 simulator. Cognitive measures were obtained using the CogScreen-AE ( Kay, 1995 ). Older age and lower levels of expertise and cognitive functioning were associated with significantly greater flight path deviations. The relationship between age and performance was fully mediated by a cluster of cognitive factors: speed and working memory, visual attention, and cognitive flexibility. These findings add to the literature showing that age-related changes in cognition may impact pilot performance.