A comparison of respiratory compensation thresholds of anaerobic competitors, aerobic competitors and untrained subjects.

This study compared respiratory compensation thresholds (RCT) ( VCO(2) inflection point) of competitors in highly aerobic events (aerobic competitors, ARC) ( n=16), competitors in highly anaerobic events (anaerobic competitors, ANC) ( n=15), and untrained subjects (UT) ( n=25). Maximal oxygen consumption ( VO(2max)), respiratory compensation threshold as a percentage of VO(2max) (RCT), and VO(2) at RCT ( Vdot;O(2RCT)) were determined during a maximal Bruce treadmill protocol. VO(2max) (ml x kg(-1) min(-1)) was significantly greater ( P<0.05) for ARC [67.2 (8.5)] than for ANC [50.0 (7.8)] and UT [43.8 (5.4)]. However, the difference between ANC and UT only approached significance ( P=0.07). RCT was not significantly different between ARC [76.3 (8.7)] and ANC [80.7 (6.8)] but was significantly lower ( P<0.05) for UT [62.5 (8.8)]. VO(2RCT) (ml x kg(-1) min(-1)) was significantly greater ( P<0.05) for ARC [51.6 (11.0)] and ANC [40.2 (6.6)] than for UT [27.4 (5.4)], with a significant difference also between ARC and ANC. While used as a criterion for group assignment, greater VO(2max), as well as RCT values in ARC (vs UT), reflect chronic aerobic training adaptations. ANC demonstrated VO(2max) values intermediate to ARC and UT, with RCT very comparable to those found in ARC. The results suggest subjects competitive in highly anaerobic events do not possess excessively high VO(2max) values. These individuals, however, demonstrate a high RCT when values are expressed relative to VO(2max). Oxygen consumption at the RCT in this group is superior to that in UT but inferior to that in ARC, which likely has important implications regarding performance.

Nursing self-efficacy of an integrated clinical and administrative information system.

Self-efficacy is a user's confidence that he or she has the ability to use an information system. A survey gathered demographics, self-assessed computer skills, attitude and self-efficacy before installation of an integrated clinical and administrative information system. Results showed that higher levels of nursing education, home computer use, and average levels of self-assessed e-mail, Internet search, word processing, and general computer expertise predicted self-efficacy of the system. In addition, previous use of home and office electronics equipment, such as an answering machine, predicted self-efficacy. Implications for training and future adoption of clinical information systems are presented.