Physical activity in university health science students: Motivations influencing behaviors.

Objective: To understand how competence, self-efficacy, enjoyment and motivation relates to physical activity behavior during transition from school to university. Participants: Health science students (n = 558) studying first year biology at an Australian university. Methods: Cross-sectional correlational survey design using five self-report questionnaires to establish relationships between a physical activity index and motivational variables. Results: Self-reported physical activity index scores of satisfactory or above were achieved by 80% of students with scores significantly higher for males than females. Enjoyment, self-efficacy and competence were predictive of physical activity index scores across genders. Conclusions: The physical activity index is a useful measure of activity dimensions across a variety of physical activities. Health science students need to underpin health messages with personal practice in modeling a healthy lifestyle. Universities have a special responsibility for building and supporting physical activity for all students, but especially for future health professionals.

Repeated-sprint ability and team selection in Australian football league players.

PURPOSE: To investigate the relationship between selected physical capacities and repeated-sprint performance of Australian Football League (AFL) players and to determine which physical capacities contributed to being selected for the first competition game. METHODS: Sum of skinfolds, 40-m sprint (with 10-, 20-, 30-, and 40-m splits), repeated-sprint ability (6 × 30-m sprints), and 3-km-run time were measured during the preseason in 20 AFL players. The physical qualities of players selected to play the first match of the season and those not selected were compared. Pearson correlation coefficients were used to determine the relationship among variables, and a regression analysis identified variables significantly related to repeated-sprint performance. RESULTS: In the regression analysis, maximum velocity was the best predictor of repeated-sprint time, with 3-km-run time also contributing significantly to the predictive model. Sum of skinfolds was significantly correlated with 10-m (r = .61, P < .01) and 30-m (r = .53, P < .05) sprint times. A 2.6% ± 2.1% difference in repeated-sprint time (P < .05, ES = 0.88 ± 0.72) was observed between those selected (25.26 ± 0.55 s) and not selected (25.82 ± 0.80 s) for the first game of the season. CONCLUSIONS: The findings indicate that maximum-velocity training using intervals of 30-40 m may contribute more to improving repeated-sprint performance in AFL players than short 10- to 20-m intervals from standing starts. Further research is warranted to establish the relative importance of endurance training for improving repeated-sprint performance in AFL football.

Effects of starting strategy on 5-min cycling time-trial performance.

The importance of pacing for middle-distance performance is well recognized, yet previous research has produced equivocal results. Twenty-six trained male cyclists (VO2 peak 62.8 +/- 5.9 ml x kg(-1) x min(-1); maximal aerobic power output 340 +/- 43 W; mean +/- s) performed three cycling time-trials where the total external work (102.7 +/- 13.7 kJ) for each trial was identical to the best of two 5-min habituation trials. Markers of aerobic and anaerobic metabolism were assessed in 12 participants. Power output during the first quarter of the time-trials was fixed to control external mechanical work done (25.7 +/- 3.4 kJ) and induce fast-, even-, and slow-starting strategies (60, 75, and 90 s, respectively). Finishing times for the fast-start time-trial (4:53 +/- 0:11 min:s) were shorter than for the even-start (5:04 +/- 0:11 min:s; 95% CI = 5 to 18 s, effect size = 0.65, P < 0.001) and slow-start time-trial (5:09 +/- 0:11 min:s; 95% CI = 7 to 24 s, effect size = 1.00, P < 0.001). Mean VO2 during the fast-start trials (4.31 +/- 0.51 litres x min(-1)) was 0.18 +/- 0.19 litres x min(-1) (95% CI = 0.07 to 0.30 litres x min(-1), effect size = 0.94, P = 0.003) higher than the even- and 0.18 +/- 0.20 litres x min(-1) (95% CI = 0.5 to 0.30 litres x min(-1), effect size = 0.86, P = 0.007) higher than the slow-start time-trial. Oxygen deficit was greatest during the first quarter of the fast-start trial but was lower than the even- and slow-start trials during the second quarter of the trial. Blood lactate and pH were similar between the three trials. In conclusion, performance during a 5-min cycling time-trial was improved with the adoption of a fast- rather than an even- or slow-starting strategy.

The effects of short-term sprint training on MCT expression in moderately endurance-trained runners.

The purpose of this study was to assess the effects of short-term sprint training on transient changes in monocarboxylate lactate transporter 1 (MCT1) and MCT4 protein and mRNA content. Seven moderately endurance-trained runners (mean +/- SE; age 27.7+/-2.9 years, body mass 81.1+/-5.9 kg, .VO(2max) 58.1+/-2.0 ml kg(-1) min(-1)) completed a .VO(2max) and a supramaximal running test to exhaustion (RTE) before and after a 6-week period of sprint training. The sprint training was progressive and consisted of 18 sessions of near maximal short duration (5-15 s) sprints to compliment the athlete's endurance training. Prior to the training period there was a significant (P<0.05) increase in MCT1, but not MCT4 protein, 2 h after the RTE. This occurred without any change in corresponding mRNA levels. After the training period, there was a significant increase in MCT1 protein but no significant change in the MCT4 isoform. Both MCT1 and MCT4 mRNA was significantly lower at rest and 2 h post-RTE after the completion of the training period. After the training period, there was a significant increase in the time to exhaustion and distance covered during the RTE. This study demonstrates that sprint training of this length and type results in an upregulation of MCT1 protein, but not MCT4 content. Additionally, this study shows conflicting adaptations in MCT1 and MCT4 protein and mRNA levels following training, which may indicate post-transcriptional regulation of MCT expression in human muscle.

Anthropometric and biomechanical field measures of floor and vault ability in 8 to 14 year old talent-selected gymnasts.

The aim of this study was to identify the anthropometric and physical prerequisites for high difficulty floor tumbling and vaulting. Twenty 8-14 year old female talent-selected gymnasts performed handstand push-offs, and single and multiple jumps on a portable Kistler force plate. The force curves were analysed using Kistler and Excel software to obtain peak displacement, peak take-off force, and power The gymnasts were also assessed for sprinting, with and without vaulting, and standing broad jump performances. Video footage from the vault take-off was analysed using Video Expert II software to obtain the horizontal and vertical take-off velocities. Each gymnast's best vault starting score, three best floor tumbling skills, and anthropometric characteristics were recorded. Statistical analysis included one-way analysis of variance (ANOVA) to examine the effect of age (8-10 years, 11-12 years, 13-14 years) on the performance measures and linear regression analysis with performance start score for vault or best floor tumbling score as the outcome variable. The best regression model for indicating vaulting talent had, as predictor variables, resultant velocity at take-off from the board, squat jump power, and average power during the last five jumps in the continuous bent-leg jump series. The best regression model for indicating floor tumbling ability had, as predictor variables, age, vault running velocity, and reduced ground contact time in a handstand push-off.

.VO2 is attenuated above the lactate threshold in endurance-trained runners.

PURPOSE: To determine whether a deviation from linearity occurs in the .VO2-speed relationship, above the lactate threshold (LT) in running; and whether the length of the submaximal exercise bouts alters the magnitude of any deviation. METHODS: Ten endurance-trained runners (N = 3 state level, N = 4 club level, and N = 3 recreational) (mean +/- SE; age 24.4 +/- 2.8 yr, mass 76.1 +/- 2.2 kg, .VO2 59.3 +/- 10.6 mL.kg-1.min-1) completed a .VO2, LT test and 10 x 4-min submaximal constant load exercise bouts. Data were evenly spread above and below LT, which was fitted by a dual linear regression model. RESULTS: There was a significant decrease (51.4%) in slope of the .VO2-speed relationship above LT. The use of 3-min, in comparison with 4-min, submaximal data did not alter the slope of the .VO2-speed regression above LT. There was no significant difference in the .VO2max estimated from the .VO2-speed regression above LT (58.1 +/- 3.3 mL.kg-1.min-1) but a significant difference below LT (63.6 +/- 3.9 mL.kg-1.min-1) to that obtained during the .VO2max test. CONCLUSION: Data from the current study suggest that the use of the linear regression of .VO2-speed data below the LT may potentially overestimate the prediction of .VO2 values above LT.