Prediction of maximum oxygen consumption from walking, jogging, or running

The purpose of this study was to develop a submaximal, 1.5-mile endurance test for college-aged students using walking, jogging, or running exercise. College students (N = 101: 52 men, 47 women), ages 18-26years, successfully completed the 1.5-mile test twice, and a maximal graded exercise test. Participants were instructed to achieve a "somewhat hard" exercise intensity (rating of perceived exertion = 13) and maintain a steady pace throughout each 1.5-mile test. Multiple linear regression generated the following prediction equation: VO2 max = 65.404 + 7.707 x gender (1 = male; 0 =female) - 0.159 x body mass (kg) - 0.843 x elapsed exercise time (min; walking, jogging orrunning). This equation shows acceptable validity (R = .86, SEE = 3.37 ml x kg(-1) min(-1)) similar to the accuracy of comparable field tests, and reliability (ICC = .93) is also comparable to similar models. The statistical shrinkage is minimal (R(press) = 0.85, SEE(press) = 3.51 ml x kg(-) x min(-1)); hence, it should provide comparable results when applied to other similar samples. A regression model (R =.90, and SEE = 2.87 ml x kg(-1) min(-1)) including exercise heart rate was also developed: VO2 max = 100.162 +/- 7.301 x gender(1 = male; 0 =female) - 0.164 x body mass (kg) - 1.273 x elapsed exercise time -0.156 x exercise heart rate, for those who have access to electronic heart rate monitors. This submaximal 1.5-mile test accurately predicts maximal oxygen uptake (VO2max) without measuring heart rate and is similar to the 1.5-mile run in that it allowsfor mass testing and requires only a flat, measured distance and a stopwatch. Further, it can accommodate a wide range of fitness levels (from walkers to runners).     

Extending the hand of knowledge: promoting mobile technologies

The widespread use of handheld computers and other mobile devices in the healthcare environment and their potential for providing access to information has prompted health sciences librarians everywhere to learn more about this technology. Early in 2001, the Health Sciences Library (HSL) at the University of North Carolina at Chapel Hill began exploring ways to support mobile computing. This paper describes the four basic approaches taken by the librarians that helped establish the HSL as a leader in the area of mobile technologies.     

In search of the keyword method/vocabulary comprehension link

Previous research has indicated that the keyword method of vocabulary learning facilitates students' performance not just on simple tests of definition recall, but on comprehension-demanding tasks as well. The present study was conducted to determine whether the “comprehension” finding could be accounted for by keyword subjects' superior definition recall per se. The results generally supported that conclusion: When conditions and subjects within conditions were equated with respect to their initial levels of definition recall, the comprehension advantage of keyword subjects disappeared.