Martin J. Truijens

Oxygen uptake response to stroke rate manipulation in freestyle swimming.

UNLABELLED During gait, humans choose a combination of step length and step rate that minimizes V˙O2. However, little work has been reported on the existence of such optimization in swimming. PURPOSE The purpose of this study was to examine the manipulation of stroke rate on V˙O2 in submaximal, constant speed freestyle swimming. METHODS Preferred stroke rate for swimming freestyle at 1.0 m·s(-1) in a flume was determined for 10 competitive swimmers (mean ± SD: age = 33.3 ± 13.6 yr, height = 175.3 ± 8.6 cm, weight = 74.9 ± 12.2 kg). Participants then completed flume swims at 1.0 m·s(-1) with stroke rates equal to -20%, -10%, 0%, +10%, and +20% of their preferred stroke rate in a randomized order during which V˙O2 was continuously monitored. Each trial continued for 1 min after steady-state V˙O2 was verified (∼4-5 min). During the final minute of each trial, V˙O2 was measured using the Douglas bag technique, HR was recorded, and kick rate (KR) was computed using the time needed to complete 30 kicks. RPE was reported immediately after each trial. RESULTS V˙O2 increased 11%-16% (P < 0.05) when stroke rate was reduced but was nominally affected when stroke rate was increased. Likewise, HR increased 4%-6% (P < 0.05), and RPE increased 15%-30% (P < 0.05) when stroke rate was reduced but not affected when stroke rate was increased. CONCLUSIONS These data suggest that these swimmers preferred to swim freestyle at the lowest stroke rate (or the longest stroke length) that did not require an increase in V˙O2.

Using tri-axial accelerometry in daily elite swim training practice

Background: Coaches in elite swimming carefully design the training programs of their swimmers and are keen on achieving strict adherence to those programs by their athletes. At present, coaches usually monitor the compliance of their swimmers to the training program with a stopwatch. However, this measurement clearly limits the monitoring possibilities and is subject to human error. Therefore, the present study was designed to examine the reliability and practical usefulness of tri-axial accelerometers for monitoring lap time, stroke count and stroke rate in swimming. Methods: In the first part of the study, a 1200 m warm-up swimming routine was measured in 13 elite swimmers using tri-axial accelerometers and synchronized video recordings. Reliability was determined using the typical error of measurement (TEM) as well as a Bland-Altman analysis. In the second part, training compliance both within and between carefully prescribed training sessions was assessed in four swimmers in order to determine the practical usefulness of the adopted accelerometric approach. In these sessions, targets were set for lap time and stroke count by the coach. Results: The results indicated high reliability for lap time (TEM = 0.26 s, bias = 0.74 [0.56 0.91] with limits of agreement (LoA) from −1.20 [−1.50 −0.90] to 2.70 [2.40 3.00]), stroke count (TEM 0.73 strokes, bias = 0.46 [0.32 0.60] with LoA from −1.70 [−1.94 −1.46] to 2.60 [2.36 2.84]) and stroke rate (TEM 0.72 str∙min−1, bias = −0.13 [−0.20 −0.06] with LoA from −2.20 [−2.32 −2.08] to 1.90 [1.78 2.02]), while the results for the monitoring of training compliance demonstrated the practical usefulness of our approach in daily swimming training. Conclusions: The daily training of elite swimmers can be accurately and reliably monitored using tri-axial accelerometers. They provide the coach with more useful information to guide and control the training process than hand-clocked times.

Heart-Rate Recovery After Warm-up in Swimming: A Useful Predictor of Training Heart-Rate Response?

For training to be optimal, daily training load has to be adapted to the momentary status of the individual athlete, which is often difficult to establish. Therefore, the current study investigated the predictive value of heart-rate recovery (HRR) during a standardized warm-up for training load. Training load was quantified by the variation in heart rate during standardized training in competitive swimmers. Eight female and 5 male Dutch national-level swimmers participated in the study. They all performed 3 sessions consisting of a 300-m warm-up test and a 10 × 100-m training protocol. Both protocols were swum in front crawl at individually standardized velocities derived from an incremental step test. Velocity was related to 75% and 85% heart-rate reserve (% HRres) for the warm-up and training, respectively. Relative HRR during the first 60 s after the warm-up (HRRw-up) and differences between the actual and intended heart rate for the warm-up and the training (ΔHRw-up and ΔHRtr) were determined. No significant relationship between HRRw-up and ΔHRtr was found (F1,37 = 2.96, P = .09, R2 = .07, SEE = 4.65). There was considerable daily variation in ΔHRtr at a given swimming velocity (73-93% HRres). ΔHRw-up and ΔHRtr were clearly related (F1,37 = 74.31, P < .001, R2 = .67, SEE = 2.78). HRR after a standardized warm-up does not predict heart rate during a directly subsequent and standardized training session. Instead, heart rate during the warm-up protocol seems a promising alternative for coaches to make daily individual-specific adjustments to training programs.