Luca Agnello

AN OBSERVATIONAL STUDY ON THE PERCEPTIVE AND PHYSIOLOGICAL VARIABLES DURING A 10,000-M RACE WALKING COMPETITION

Abstract Vernillo, G, Agnello, L, Drake, A, Padulo, J, Piacentini, MF, and Torre, AL. An observational study on the perceptive and physiological variables during a 10,000-m race walking competition. J Strength Cond Res 26(10): 2741–2747, 2012—In this study, we observed the variations on physiological and perceptual variables during a self-paced 10,000-m race walking (RW) event with the aim to trace a preliminary performance profile of the distance. In 14 male athletes, the heart rate (HR) was monitored continuously throughout the event. The rating of perceived exertion (RPE) was collected using the Borgs 6–20 RPE scale placed at each 1,000 m of an outdoor tartan track. Pacing data were retrieved from the official race results and presented as percent change compared with the first split time. The athletes spent 95.4% at 90–100% of the HRpeak, whereas the other work (4.6%) was negligible. During the race, a shift toward higher HR values was observed because % HRpeak increased by 3.6% in the last vs. the first 1,000-m sector (p = 0.002, effect size [ES] = 1.55 ± 0.68, large). The mean RPE reported by the athletes in the last 1,000 m was significantly higher than in the first 5 sectors (p < 0.02, ES = 1.93–2.96, large to very large). The mean percent change increased between the first 6 sectors and the last 1,000-m sector (p < 0.01, ES = 1.02–2.1, moderate to very large). The analysis of walking velocity at each 1,000-m sector suggested the adoption of a negative pacing. In conclusion, the RPE may be a valid marker of exercise intensity even in real settings. Match physiological and perceptual data with work rate are required to understand race-related regulatory processes. Pacing should be considered as a conscious behavior decided by the athletes based on the internal feedback during the race.

EXERCISE INTENSITY AND PACING STRATEGY OF A 5-KM INDOOR RACE WALK DURING A WORLD RECORD ATTEMPT: A CASE STUDY

Vernillo, G, Piacentini, MF, Drake, A, Agnello, L, Fiorella, P, and La Torre, A. Exercise intensity and pacing strategy of a 5-km indoor race walk during a world record attempt: A case study. J Strength Cond Res 25(7): 2048-2052, 2011—The aim of this case study was to describe the physiological and regulatory processes, by means of heart rate (HR) monitoring and pacing strategy, in a top-level race walker (age: 32 years; height: 1.76 m; body mass: 62 kg; training volume: 130-150 km·wk−1) who was focused on the attainment of the 5-km indoor race walk (RW) World Record. The HRmean was 185 ± 14.9 b·min−1, with an HRmean/HRmax ratio of 0.96. Almost the whole race (91.8%) was performed to an intensity ≥90% of the HRmax; lower intensity work was negligible (8.1%). The race profile was a reverse J-shaped pacing curve; in fact, the athlete completed the first 1,000 m in the fastest time, slowing during the middle 3,000 m, and increasing the speed during the final 1,000 m of the race. Despite the attempt failed (the athlete performed only the 2009 World leading performance, 18 minutes 23 seconds 47 tenths), these data suggest that a more linear strain distribution for the entire performance would be optimal instead of a fast-start strategy, which leads to a drastic decrement of the walking velocity. Moreover, this study supports the use of HR monitoring combined with the regulation of the effort to understand the physiological and regulatory processes during an indoor RW event.

Is it time to consider a new performance classification for high-level male marathon runners?

La Torre, A, Vernillo, G, Agnello, L, Berardelli, C, and Rampinini, E. Is it time to consider a new performance classification for high-level male marathon runners? J Strength Cond Res 25(12): 3242–3247, 2011—Studies have attempted to describe human running performances by the analysis of world-record times. However, to date, no study has analyzed the evolution of high-level marathon performances over time. Thus, the purpose of this study was to analyze these performances across the past 42 years with the aim of delineating a time-based classification. To identify the nature of the phenomenon represented by the sequence of observations, we examined the data collected (i.e., 8,400 times from 1969 to 2010) as a time series. The leading time (LT) and the mean 200 times (T200) per year underwent a nonlinear but significant decrement (r = −0.92, p < 0.001 and r = −0.98, p < 0.001, respectively). In fact, from 1969 to 2010, the mean time differences were 3 minutes 20 seconds ± 1 minute 59 seconds and 7 minutes 1 second ± 2 minutes 48 seconds, corresponding to an improvement of 5 and 10 seconds per year for LT and T200, respectively. Furthermore, trend analysis suggested a disruption in marathon time improvements, indicating the presence of 3 points in the time series in which the performance significantly improved with respect to that of the previous years, corresponding to the years 1983–1984 (p < 0.001), 1997–1998 (p < 0.003), and 2003 (p < 0.001). In conclusion, despite the trend in high-level marathon performances being better explained by a nonlinear tendency, significant improvements in the ability of the high-level marathon runners to complete the distance were observed. These improvements are likely to be related to sociological, environmental, physiological, and training-method factors. Researchers and coaches should take into account these enhancements by using the time classification proposed in this study to better reflect the marathon performance profile of their athletes.

Combined endurance and resistance circuit training in highly trained/top-level female race walkers: a case report

Race walking can be considered as a long-distance performance and it can be described as the technical and athletic expression of fast walking. The physiological determinants of these performances have been well documented; moreover, several recent studies demonstrated that concurrent strength and endurance training can improve performance in endurance athletes. Thus, the purpose of this report was to monitor the adaptations of a combined strength, performed by circuit resistance training (CRT), and endurance programme in two top level female race walkers. The subjects were examined before and after 12 weeks of CRT and endurance training and performed an incremental field test to determine maximum oxygen uptake (.VO2max), running economy (RE) and lactate threshold (LT). The results showed that 12 weeks of combined CRT and endurance programme did not correspond to an alteration in.VO2max and RE, while improvements in LT and 5-km performance were seen.

Effect of repeated-sprints on the reliability of short-term parasympathetic reactivation

This study determined the reliability of post-exercise heart rate recovery (HRR) and vagal-related HR variability (HRV) after repeated-sprints (RSs), and contrasted it with the smallest worthwhile change (SWC) of these indices. Fourteen healthy male participants performed on four occasions, separated by 7 days, five 30-m sprints interspersed by 25-s of recovery. Post-exercise HR during 10 min of seated rest was measured. HRR during the first 60-s of recovery was computed (HRR60s). HRV indices were calculated in time and frequency domains during the last 5-min of the recovery. Absolute and relative reliability were assessed by typical error of measurement expressed as coefficient of variation (CV) and intraclass correlation coefficients (ICCs), respectively. Sensitivity was assessed comparing SWC to the typical error of measurement. CV ranged from 3.6% to 13.5% and from 6.3% to 109.2% for the HRR and HRV indices, respectively. ICCs were from 0.78 to 0.96 and from 0.76 to 0.92, respectively. HRR and HRV indices showed large discrepancies reliability. HRR60s and the square root of the mean sum of the squared differences between R-R intervals presented the highest levels of both absolute and relative reliability. However, SWC was lower than the typical error of measurement, indicating insufficient sensitivity to confidently detect small, but meaningful, changes in HRR and HRV indices.