President\u27s Report: An Historical Review of the University of Windsor, 1972-1978

University of Windsor president\u27s report on enrollment, the library, degrees granted, and finances for 1972-1978.https://scholar.uwindsor.ca/swodawindsorpub/1008/thumbnail.jp

Face Cooling Reveals Transient Cardiac Parasympathetic Dysfunction in Recently Concussed College Athletes

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Cerebral Blood Velocity Increases during Face Cooling in Symptomatic Concussed Athletes

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Does Emotional Intelligence at medical school admission predict future licensing examination performance?

Background: Medical school admissions committees are seeking alternatives to traditional academic measures when selecting students; one potential measure being emotional intelligence (EI). If EI is to be used as an admissions criterion, it should predict future performance. The purpose of this study is to determine if EI scores at admissions predicts performance on a medical licensure examination Methods: All medical school applicants to the University of Ottawa in 2006 and 2007 were invited to complete the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT v2.0) after their interview. Students were tracked through medical school into licensure and EI scores were correlated to their scores on the Medical Council of Canada Qualifying Examination (MCCQE) attempted between 2010 and 2014. Results: The correlation between the MSCEIT and the MCCQE Part I was r (200) = .01 p =. 90 The covariates of age and gender accounted for a significant amount of variance in MCCQE Part I scores (R2 = .10, p <.001, n=202) but the addition of the MSCEIT scores was not statistically significant (R2 change = .002, p=.56). The correlation between the MSCEIT and the MCCQE Part II was r(197) = .06, p = .41. The covariates of age and gender accounted for some variance in MCCQE Part II scores (R2 = .05, p = .007, n=199) but the addition of the MSCEIT did not (R2 change = .002 p =.55). Conclusion: The low correlations between EI and licensure scores replicates other studies that have found weak correlations between EI scores and tests administered at admissions and during medical school.  These results suggest caution if one were to use EI as part of their admissions process

Fat intake and injury in female runners

<p>Abstract</p> <p>Background</p> <p>Our purpose was to determine the relationship between energy intake, energy availability, dietary fat and lower extremity injury in adult female runners. We hypothesized that runners who develop overuse running-related injuries have lower energy intakes, lower energy availability and lower fat intake compared to non-injured runners.</p> <p>Methods</p> <p>Eighty-six female subjects, running a minimum of 20 miles/week, completed a food frequency questionnaire and informed us about injury incidence over the next year.</p> <p>Results</p> <p>Injured runners had significantly lower intakes of total fat (63 ± 20 vs. 80 ± 50 g/d) and percentage of kilocalories from fat (27 ± 5 vs. 30 ± 8 %) compared with non-injured runners. A logistic regression analysis found that fat intake was the best dietary predictor, correctly identifying 64% of future injuries. Lower energy intake and lower energy availability approached, but did not reach, a significant association with overuse injury in this study.</p> <p>Conclusion</p> <p>Fat intake is likely associated with injury risk in female runners. By documenting these associations, better strategies can be developed to reduce running injuries in women.</p