The purpose of this study was to describe mathematically the oxygen uptake kinetics during cycle ergometry, and to examine the effect of intensity on the kinetic responses within the severe domain. Sixteen volunteers performed a series of exercise tests at a range of intensities selected to elicit fatigue in ~3 to 10 min. A simple mono-exponential model effectively described the response across all intensities. There was a positive correlation between the response time and the time to fatigue, demonstrating that the maximal oxygen uptake was achieved faster at higher intensities within the severe domain. Models incorporating two components effectively described the responses only in tests lasting 8 min or more. It was concluded that there is a second, slow component in the oxygen uptake response only at the lower intensities within the severe domain.

The purpose of this study was to evaluate the effect of mode and intensity on VO2 kinetics in the severe intensity domain. Seventeen participants completed 3-7 tests each on a cycle ergometer and treadmill. For each test, Tfatigue, VO2max, Tmean response, VO2GAIN, TVO2max and T@VO2max were determined. Linear regression techniques were used to describe the relationship between TVO2max and Tfatigue . VO2max values were higher in running. The VO2 response profile was faster for running than cycling and faster at higher intensities. The faster VO2 response in running may be associated with larger active muscle mass or differences in muscle activation patterns. The faster response at higher intensities may suggest that VO2 response is driven by O2 demand.

The elevated CO2 levels, elevated temperature, and lower blood pH that may occur during exercise should enhance O2 delivery to the exercising muscles. It was hypothesized that performance of prior exercise (PE) would result in a faster VO2 response, as well as a reduced slow component contribution, in subsequent exercise bouts. Five women (21 ± 1 yr) and 10 men (23 ± 2 yr) performed nine 6-min bouts of heavy intensity cycle ergometer exercise (i.e., above the ventilatory threshold, individually determined by an incremental test). Three bouts were performed without prior heavy exercise (noPE), three were performed 6 min after a 6-min bout of heavy intensity arm cranking (PEA), and three were performed 6 min after a 6-min bout of heavy intensity cycle ergometer exercise (PEL). Breath-by-breath VO2 data from each of the three sets of three tests were combined and fitted to a two-component model, which ignores the cardiodynamic phase. The primary and slow component amplitudes were truncated to reflect actual increases in VO2 in each phase. The effects of PE on the time constant of the primary component were inconsistent. As hypothesized, the amplitude of the slow component was reduced by PE (noPE vs PEA vs. PEL: 25% …

The purpose of this study was to determine whether coaching behavior preferences of interscholastic athletes differ as a function of gender and type of sport. The Coaching Behavior Questionnaire (CBQ; Martin & Barnes, 1999) was administered to 372 interscholastic athletes. The mean scores of the participants' responses to each subscale on the CBQ were the dependent variables and gender and type of sport were the independent variables. Descriptive statistics revealed that female and male interscholastic athletes who perform on coactive, mixed, and interactive sport teams preferred coaches who engage in supportive and instructional behaviors, as opposed to non-responses or negative responses. A 2 (Gender) X 3 (Type of Sport) MANOVA and discriminant function analyses indicated that gender and the degree of interdependency between group members affects preferred coaching behavior. Thus, coaches should consider situational factors and personal characteristics when working with interscholastic athletes.

The purpose of this study was to determine whether coaching behavior preferences of NCAA Division I athletes differ as a function of gender and type of sport. The Coaching Behavior Questionnare (CBQ; Martin & Barnes, 1999) was administered to 195 NCAA Division I athletes. Gender and sport type were the independent variables and the participant's mean scores for the subscales on the CBQ were the dependent variables. Descriptive statistics revealed that, overall, NCAA Division I athletes prefer positive and instructional behaviors more than non-responses or negative behaviors. A 2 (gender) x 3 (type of sport) MANOVA and follow-up discriminant function analysis indicated that coaching behavior preferences differed as a function of gender and type of sport played. Thus, NCAA Division I coaches should consider both individual and situational characteristics when working with their athletes to achieve the desired outcome.