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Health-related variables and academic performance among first-year college students: implications for sleep and other behaviors.

The authors analyzed the effect of several health behaviors and health-related variables on grade point averages of a random sample of 200 students living in on-campus residence halls at a large private university. The set of variables included exercise, eating, and sleep habits; mood states; perceived stress; time management; social support; spiritual or religious habits; number of hours worked per week; gender; and age. Of all the variables considered, sleep habits, particularly wake-up times, accounted for the largest amount of variance in grade point averages. Later wake-up times were associated with lower average grades. Variables associated with the 1st-year students' higher grade point averages were strength training and study of spiritually oriented material. The number of paid or volunteer hours worked per week was associated with lower average grades.

Adolescent↗

Predicting academic performance at a predominantly black medical school.

A study was conducted by the authors that examined the validity of the Medical College Admission Test (MCAT), undergraduate grade-point average (GPA), and "competitiveness" of undergraduate college in predicting the performance of students at a predominantly black college of medicine. The performance measures used in the analysis consisted of course grades in all four years of medical school and scores on both Part I and Part II of the National Board of Medical Examiners (NBME) examinations. The predictive validities of the MCAT scores and undergraduate GPAs were found to be similar to those revealed in earlier studies conducted at predominantly white schools. Two exceptions to these similarities were found. First, the MCAT scores at the black school had a somewhat lower validity in predicting NBME examination scores than was the case at the other schools. Second, of the six MCAT subtest scores, Skills Analysis: Reading had the highest correlation with first-year grades, in contrast to results at the other schools. No differences between men and women were found in the validity of MCAT scores and the GPA. The competitiveness of the undergraduate college attended was found to contribute significantly to the prediction of all measures of medical school performance.

Black or African American↗

Predicting medical students' academic performances by their cognitive abilities and personality characteristics.

PURPOSE: To utilize multiple regression analyses with both linear and quadratic models to explore and confirm the relationships among students' cognitive abilities, personality traits, and medical school performances at the University of Los Angeles, California, UCLA School of Medicine. METHOD: Ninety-seven "not-disadvantaged" students' pre-medical grade-point averages (GPAs), Medical College Admission Test (MCAT) scores, and personality traits as measured by the Comrey Personality Scales (administered at their application to medical school in 1985) were used to predict their medical school performances according to several criteria. "Disadvantaged" students were excluded from the study because their poor performances on all criteria would confound the relationships of personality, cognitive ability, and performance. RESULTS: The MCAT score was a strong predictor of medical school performances, particularly those criteria measured by medical school GPAs and the National Board of Medical Examiners examination scores, but its predictive power dropped sharply when clinical performance and personal suitability were part of the performance evaluation. Specific personality traits not only strengthened the predictive power of cognitive and personality variables jointly, they became the primary predictors of clinical performance and personal suitability. A single personality-profile index failed to show any power of prediction. As expected, quadratic relationships were found between some personality traits and some medical school performance measures. CONCLUSION: According to these data it is not realistic to use one or two personality traits to predict personal suitability on all medical performance measures. The multiple regression analysis results indicate that different personality characteristics are incorporated in different types of medical performances, which is perhaps why the overall personality-profile score failed to predict any of the studied criteria. Because of the study's relatively small sample size, however, cross-validation studies are necessary to confirm these findings.

Clinical Competence↗