Hamilton Lee

Monitoring the lactate threshold in world- ranked swimmers

PURPOSE To determine whether lactate profiling could detect changes in discrete aspects of endurance fitness in world-ranked swimmers during a season. METHODS Eight male and four female Australian National Team swimmers aged 20--27 yr undertook a 7 x 200-m incremental swimming step test on four occasions over an 8-month period before the 1998 Commonwealth Games (CG): January (10 d before the World Championships), May (early-season camp), July (midseason), and August (16 d before the CG). The lactate threshold (LT) was determined by a mathematical formula that calculated the threshold as a function of the slope and y-intercept of the lactate-velocity curve. RESULTS Maximal 200-m test time declined initially from 127.7 +/- 4.2 s (January 1998) to 130.2 +/- 4.5 s (May 1998) and 129.1 +/- 4.3 s (July 1998) before improving to 126.8 +/- 4.2 s (August 1998) (P < 0.005). The swimming velocity at LT (s.100 m(-)1) also declined midseason before improving before the CG (P < 0.02) (January 1998: 70.5 +/- 2.1; May 1998: 72.0 +/- 2.2; July 1998: 72.2 +/- 2.2; and August 1998: 70.8 +/- 2.1). The blood lactate concentration at the LT decreased (P < 0.02) from 3.6 +/- 0.2 mM to 3.2 +/- 0.1 mM and 2.9 +/- 0.2 mM before returning to 3.4 +/- 0.2 mM for January, May, July, and August, respectively. The lactate tolerance rating (LT(5--10)), defined as the differential velocity between lactate concentrations of 5.0 and 10.0 mM, declined midway through the season (P < 0.015): 6.6 +/- 0.5 s.100 m(-1), 7.7 +/- 0.5 s.100 m(-1), 8.5 +/- 0.5 s.100 m(-1), and 6.9 +/- 0.4 s.100 m(-1), for January, May, July, and August, respectively. Despite these improvements in indicators of fitness, there was no significant improvement in competition performance across the season. CONCLUSIONS Maximal effort 200-m time, lactate tolerance rating, and swimming velocity at LT (s.100 m(-1)) all improved in world-ranked swimmers with training, but these changes were not directly associated with competition performance.

Accuracy of SRM and power tap power monitoring systems for bicycling

PURPOSE : Although manufacturers of bicycle power monitoring devices SRM and Power Tap (PT) claim accuracy to within 2.5%, there are limited scientific data available in support. The purpose of this investigation was to assess the accuracy of SRM and PT under different conditions. METHODS : First, 19 SRM were calibrated, raced for 11 months, and retested using a dynamic CALRIG (50-1000 W at 100 rpm). Second, using the same procedure, five PT were repeat tested on alternate days. Third, the most accurate SRM and PT were tested for the influence of cadence (60, 80, 100, 120 rpm), temperature (8 and 21 degrees C) and time (1 h at ~300 W) on accuracy. Finally, the same SRM and PT were downloaded and compared after random cadence and gear surges using the CALRIG and on a training ride. RESULTS : The mean error scores for SRM and PT factory calibration over a range of 50 - 1000 W were 2.3 +/- 4.9% and -2.5 +/- 0.5%, respectively. A second set of trials provided stable results for 15 calibrated SRM after 11 months (-0.8 +/- 1.7%), and follow-up testing of all PT units confirmed these findings (-2.7 +/- 0.1%). Accuracy for SRM and PT was not largely influenced by time and cadence; however, power output readings were noticeably influenced by temperature (5.2% for SRM and 8.4% for PT). During field trials, SRM average and max power were 4.8% and 7.3% lower, respectively, compared with PT. CONCLUSIONS : When operated according to manufacturers instructions, both SRM and PT offer the coach, athlete, and sport scientist the ability to accurately monitor power output in the lab and the field. Calibration procedures matching performance tests (duration, power, cadence, and temperature) are, however, advised as the error associated with each unit may vary.

Core temperature and hydration status during an Ironman triathlon

Background: Numerous laboratory based studies have documented that aggressive hydration strategies (∼1–2 litres/h) are required to minimise a rise in core temperature and minimise the deleterious effects of hyperthermia on performance. However, field data on the relations between hydration level, core body temperature, and performance are rare. Objective: To measure core temperature (Tcore) in triathletes during a 226 km Ironman triathlon, and to compare Tcore with markers of hydration status after the event. Method: Before and immediately after the 2004 Ironman Western Australia event (mean (SD) ambient temperature 23.3 (1.9)°C (range 19–26°C) and 60 (14)% relative humidity (44–87%)) body mass, plasma concentrations of sodium ([Na+]), potassium ([K+]), and chloride ([Cl−]), and urine specific gravity were measured in 10 well trained triathletes. Tcore was measured intermittently during the event using an ingestible pill telemetry system, and heart rate was measured throughout. Results: Mean (SD) performance time in the Ironman triathlon was 611 (49) minutes; heart rate was 143 (9) beats/min (83 (6)% of maximum) and Tcore was 38.1 (0.3)°C. Body mass significantly declined during the race by 2.3 (1.2) kg (−3.0 (1.5)%; p<0.05), whereas urine specific gravity significantly increased (1.011 (0.005) to 1.0170 (0.008) g/ml; p<0.05) and plasma [Na+], [K+], and [Cl−] did not change. Changes in body mass were not related to finishing Tcore (r  =  −0.16), plasma [Na+] (r  =  0.31), or urine specific gravity (r  =  −0.37). Conclusion: In contrast with previous laboratory based studies examining the influence of hypohydration on performance, a body mass loss of up to 3% was found to be tolerated by well trained triathletes during an Ironman competition in warm conditions without any evidence of thermoregulatory failure.

Physiological characteristics of successful mountain bikers and professional road cyclists

The aims of this study were to compare the physiological and anthropometric characteristics of successful mountain bikers and professional road cyclists and to re-examine the power-to-weight characteristics of internationally competitive mountain bikers. Internationally competitive cyclists (seven mountain bikers and seven road cyclists) completed the following tests: anthropometric measurements, an incremental cycle ergometer test and a 30 min laboratory time-trial. The mountain bikers were lighter (65.3 - 6.5 vs 74.7 - 3.8 kg, P = 0.01; mean - s ) and leaner than the road cyclists (sum of seven skinfolds: 33.9 - 5.7 vs 44.5 - 10.8 mm, P = 0.04). The mountain bikers produced higher power outputs relative to body mass at maximal exercise (6.3 - 0.5 vs 5.8 - 0.3 W·kg -1 , P = 0.03), at the lactate threshold (5.2 - 0.6 vs 4.7 - 0.3 W·kg -1 , P = 0.048) and during the 30 min time-trial (5.5 - 0.5 vs 4.9 - 0.3 W·kg -1 , P = 0.02). Similarly, peak oxygen uptake relative to body mass was higher in the mountain bikers (78.3 - 4.4 vs 73.0 - 3.4 ml·kg -1 ·min -1 , P = 0.03). The results indicate that high power-to-weight characteristics are important for success in mountain biking. The mountain bikers possessed similar anthropometric and physiological characteristics to previously studied road cycling uphill specialists.

Negative effect of static stretching restored when combined with a sport specific warm-up component

There is substantial evidence that static stretching may inhibit performance in strength and power activities. However, most of this research has involved stretching routines dissimilar to those practiced by athletes. The purpose of this study was to evaluate whether the decline in performance normally associated with static stretching pervades when the static stretching is conducted prior to a sport specific warm-up. Thirteen netball players completed two experimental warm-up conditions. Day 1 warm-up involved a submaximal run followed by 15 min of static stretching and a netball specific skill warm-up. Day 2 followed the same design; however, the static stretching was replaced with a 15 min dynamic warm-up routine to allow for a direct comparison between the static stretching and dynamic warm-up effects. Participants performed a countermovement vertical jump and 20m sprint after the first warm-up intervention (static or dynamic) and also after the netball specific skill warm-up. The static stretching condition resulted in significantly worse performance than the dynamic warm-up in vertical jump height (-4.2%, 0.40 ES) and 20m sprint time (1.4%, 0.34 ES) (p<0.05). However, no significant differences in either performance variable were evident when the skill-based warm-up was preceded by static stretching or a dynamic warm-up routine. This suggests that the practice of a subsequent high-intensity skill based warm-up restored the differences between the two warm-up interventions. Hence, if static stretching is to be included in the warm-up period, it is recommended that a period of high-intensity sport-specific skills based activity is included prior to the on-court/field performance.

Physiological Characteristics of Nationally Competitive Female Road Cyclists and Demands of Competition

There are few published data describing female cyclists and the studies available are difficult to interpret because of the classification of athletes. In this review, cyclists are referred to as either internationally competitive (International Cycling Union world rankings provided when available) or nationally competitive. Based on the limited data available it appears that the age, height, body mass (BM) and body composition of women cyclists who have been selected to the US and Australian National Road Cycling Teams from 1980 to 2000 are fairly similar. Female cyclists who have become internationally competitive are generally between 21 to 28 years of age, 162 to 174cm, 55.4 to 58.8kg and 38 to 51mm (sum of 7 skinfolds) corresponding to 7 to 12% body fat. The lower BM and percentage body fat are traits unique to the most competitive women. Internationally competitive women cyclists also possess a slightly superior ability to produce a high absolute power output for a fixed time period and a noticeably greater ability to produce power output relative to BM. In Women’s World Cup races, successful women (top 20 places) spend more time <7.5W/kg (11 ± 2 vs 7 ± 2%, p < 0.01) and less time <0.75 W/kg (24 ± 4 vs 29 ± 3%, p = 0.05) compared with non-top 20 placed riders. Additionally, cyclists in the top 20 produced higher average power (3.6 ± 0.4 vs 3.1 ± 0.1 W/kg, p = 0.01). Unlike professional men’s road cycling, the physiological characteristics of internationally competitive female road cyclists and the demands of women’s cycling competition are poorly understood.