| Literature DB >> 27071014 |
Francisco Ayala1, Víctor Moreno-Pérez1, Francisco J Vera-Garcia1, Manuel Moya1, David Sanz-Rivas2,3, Jaime Fernandez-Fernandez1,2.
Abstract
Despite the large number of studies that have examined the acute effects of different warm up modalities (WU) on physical performance, none of them have documented the time course of potential performance recovery in tennis players. The aim of this study was twofold: (a) to analyze and compare the acute effects of two different WU modalities (traditional WU [TWU] and dynamic WU [DWU]) on physical performance (i.e., CMJ, sprint, serve speed and accuracy) in elite junior players, as well as (b) to monitor the time course of any WU-induced changes after 30 and 60 min of simulated match-play. Twelve junior elite players completed both WUs modalities (TWU and DWU) in a counterbalanced order on separate days. In each experimental session, counter movement jump (CMJ), 20-m sprint, tennis serve speed and accuracy tests were performed before (immediately after TWU or DWU) during (30 min) and after 60 min of a simulated match play. Measures were compared via four factorial (WU intervention and time) repeated measures ANOVAs. There were main effects of WU (TWU and DWU) throughout the time for all the variables analysed. The results indicate that DWU routine led to significantly faster 20 m sprint times and higher CMJs as well as faster and more accurate tennis serves at both post warm-up and 30 min match-play testing moments in comparison with the scores reported by the TWU routine (p < 0.05; positive effects with a probability of >75-99%). No significant intergroup differences were found at 60-min match-play testing moment in any variable (except for the 20 m sprint). Therefore, the findings of this study recommend for optimal performance in these elite tennis players, DWU routines should be performed prior to formal training and competition rather than TWU routines.Entities:
Mesh:
Year: 2016 PMID: 27071014 PMCID: PMC4829215 DOI: 10.1371/journal.pone.0152790
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Schematic representation of the intervention.
Intra e inter-sessions reliability statistics (typical percentage error [CVTE] and intraclass correlation coefficient [ICC2,k]) for each performance measure.
| Measure | Intra-session reliability | Inter-session reliability | ||
|---|---|---|---|---|
| ICC2k | CVTE | ICC2k | CVTE | |
| CMJ height | 0.96 (from 0.93 to 0.98) | 1.9 (from 1.2 to 3.4) | 0.95 (from 0.93 to 0.97) | 2.1 (from 1.2 to 3.7) |
| 20 m sprint time | 0.92 (from 0.90 to 0.93) | 1.5 (from 0.5 to 2.2) | 0.91 (from 0.89 to 0.93) | 1.7 (from 0.2 to 2.5) |
| Serve speed | 0.92 (from 0.90 to 0.95) | 2.8 (from 1.3 to 6.0) | 0.92 (from 0.91 to 0.94) | 3.3 (from 1.1 to 6.7) |
| Serve accuracy | 0.90 (from 0.68 to 0.93) | 4.9 (from 1.3 to 7.9) | 0.87 (from 0.82 to 0.91) | 5.1 (from 1.4 to 8.7) |
CMJ: countermovement jump; m: meters
Jumping height, 10 and 20 m sprint times, serve speed and serve accuracy descriptive statistic and mean percentage changes between stretching conditions (static versus dynamic) at each of the three testing moments (post warm-up, 30´match-play and 60´match-play).
Qualitative inference and likelihood (%) of being positive/ trivial / negative of the effects are also shown.
| Testing moments | Static stretching | Dynamic stretching | % Change (Mean ±90 CL) | Effect Size (d) | Chances that the true effects were substantial | |||
|---|---|---|---|---|---|---|---|---|
| Positive | Trivial | Negative | Qualitative inference | |||||
| Jumping height (cm) | 41.5 ±3.3 | 42.7 ± 3.3 | -2.8 (-3.9 to 1.7) | -0.35 | 88 | 12 | 0 | Likely positive |
| 20 m sprint time (s) | 3.11 ±0.11 | 2.99 ±0.10 | 3.9 (2.8 to 4.9) | 1.06 | 100 | 0 | 0 | Most likely positive |
| Serve speed (km/h) | 181.2 ±6.9 | 188.7 ±6.9 | -4.0 (-5.1 to -2.9) | -1.03 | 88 | 12 | 0 | Likely positive |
| Serve accuracy | 53.8 ±8.1 | 60.1 ±8.1 | -11 (-17.4 to -4.2) | -0.83 | 99 | 1 | 0 | Very likely positive |
| Jumping height (cm) | 41.3 ±3.2 | 42.7 ± 3.3 | -3.3 (-4.3 to 2.2) | -0.40 | 96 | 4 | 0 | Very likely positive |
| 20 m sprint time (s) | 3.04 ±0.08 | 3.00 ±0.10 | 1.6 (1.0 to 2.3) | 0.43 | 43 | 57 | 0 | Possible negative |
| Serve speed (km/h) | 182.7 ±5.6 | 188.0 ±7.1 | -2.8 (-3.7 to -1.8) | -0.68 | 34 | 66 | 0 | Possible positive |
| Serve accuracy | 63.5 ±6.6 | 66.6 ±9.2 | -4.3 (-9.6 to 1.3) | -0.29 | 66 | 32 | 2 | Possible positive |
| Jumping height (cm) | 42.2 ±3.9 | 42.4 ±3.9 | -0.3 (-0.6 to 0.0) | -0.03 | 0 | 100 | 0 | Most likely trivial |
| 20 m sprint time (s) | 3.04 ±0.08 | 3.00 ±0.11 | 1.4 (0.7 to 2.1) | 0.35 | 21 | 79 | 0 | Possible positive |
| Serve speed (km/h) | 188.2 ±7.1 | 188.4 ±6.5 | -0.1 (-0.6 to 0.4) | -0.03 | 0 | 100 | 0 | Most likely trivial |
| Serve accuracy | 62.1 ±8.2 | 64.5 ±8.4 | -3.7 (-9.3 to 2.3) | -0.26 | 15 | 85 | 0 | Likely trivial |
CL: confidence limits
*: The total score expressed as a percentage of the maximum (100%).
± 90% CL: add and subtract this number to the mean effect to obtain the 90% confidence limits for the true difference.
a Substantial is an absolute change in performance of > 2.1%, 1.7%, 3.3% and 5.1% for measures of jumping height, sprint time (10 and 20 m), serve speed, serve accuracy and serve score respectively for passing accuracy (see Methods).
b If chance of benefit and harm both >5%, true effect was assessed as unclear (could be beneficial or harmful). Otherwise, chances of benefit or harm were assessed as follows: <1%, almost certainly not; 1–5%, very unlikely; > 5–25%, unlikely; >25–75%, possible; >75–95%, likely; >95–99%, very likely; >99%, almost certain.
t: For the 20 m sprint time variable, a negative effect must be considered as an increase in the sprint performance.
Fig 2Time-course of warm-up effects.
*: The total score expressed as a percentage of the maximum (100%).