The purpose of this study was to evaluate the effect of different metacognitive interventions on knowledge and regulation of cognition, as well as academic performance (i.e., exam and final grades) in three sections of an undergraduate human anatomy and physiology course. All targeted classes were randomly assigned to one of three groups (reflection practice, passive acquisition of knowledge, and collaborative learning), and the interventions were implemented after exam 1. A pre- and posttest survey was administered during the semester (during week 2 and after exam 2), and exam and final course grades were collected at the end of the semester. The final sample included 129 students. A significant interaction of group and time was observed for knowledge of cognition: it increased in the reflection practice group, did not change in the collaborative learning group, and it decreased in the passive acquisition of knowledge. The interventions did not produce any significant interactions or main effects on regulation of cognition, exam scores, or final grades. Along with more research on metacognition in physiology education contexts, it is recommended to further examine the ways in which such data can be collected, as self-report measures only tell part of the story.

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Context:  An estimated 15.3 million adolescent students are enrolled in US high schools, with approximately 7.8 million participating in athletics. Researchers have examined various demographics in high school athletes; however, athletic participation may play a larger role in test performance than previously thought. Currently, investigations of concussion assessment may rely on uninjured athletes as controls. However, due to the intense nature of athletics, this may not be an appropriate practice. Objective:  To examine differences between athletes and nonathletes using a common computerized neuropsychological test. Design:  Retrospective cross-sectional study. Setting:  High schools from a school district in Columbus, Ohio. Patients or Other Participants:  A total of 662 adolescent high school students (athletes: n = 383, female n = 18; nonathletes: n = 279, female n = 193). Main Outcome Measure(s):  Participants were administered a computerized neuropsychological test battery (Immediate Post-Concussion Assessment and Cognitive Test [ImPACT]) during baseline concussion assessment. Differences between groups were established for output composite scores. Results:  Differences were found between athletes and nonathletes in composite reaction time (F1,522 = 14.855, P < .001) and total symptom score (F1,427 = 33.770, P < .001). Nonathletes reported more symptoms, whereas athletes had faster reaction times. No differences were present in composite verbal memory, composite visual memory, composite visual motor speed, or composite impulse control (P > .05). Conclusions:  Symptom reporting and reaction time differed between high school athletes and nonathletes. Participation in extracurricular activities may lead to cognitive differences in adolescents that can influence performance on the Immediate Post-Concussion Assessment and Cognitive Test battery. Researchers should account for these differences in baseline performance when making concussion diagnostic and management decisions.

dioxide could be saved by changing activities related to the packaging of medical equipment alone. We need many more studies like this one, so that we can better focus both our use of limited resources, and our attention on things that really matter for the provision of high quality and sustainable patient care.

The purpose of this study was to investigate exercise motivation of a Generation Z sample and to compare exercise motivation between Generation Z and Y. College students from Generation Z (N = 1,457) and Y (N = 2,199) completed the exercise motivation inventory. A two time-point cross sectional quasi-experimental design was implemented for this study. The strongest exercise motivators for Generation Z college students were strength/endurance, ill-health avoidance, and positive health. Generation Z participants scored statistically significantly higher across all subscales of the EMI-2 (exercise motivation inventory-2) when compared to Generation Y. Understanding generational differences in exercise motivation can help in tailoring effective physical activity interventions.