Oxygen uptake and heart rate response of 6 standardized tennis drills

Bekraoui, Nabyl; Fargeas-Gluck, Marie-Agnes; Léger, L

doi:10.1139/h2012-082

Cited by 20 publications

(28 citation statements)

References 21 publications

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“…When running velocities were adjusted for maximal O 2 uptake during a straight-line incremental protocol, the pulmonary VO 2 for shuttle running was higher than for straight running [14]. A recent study also showed that when comparing shuttle exercise over a 3.5-m and a 7.0-m course at the same average running velocities and for the same total distances covered, the 3.5-m shuttle exercise induces a greater physiological response [20]. This occurs because of the greater number of 180°CODs required for the 3.5-m course.…”

Section: Discussionmentioning

confidence: 98%

The Relationship between Running Velocity and the Energy Cost of Turning during Running

et al. 2014

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Ball game players frequently perform changes of direction (CODs) while running; however, there has been little research on the physiological impact of CODs. In particular, the effect of running velocity on the physiological and energy demands of CODs while running has not been clearly determined. The purpose of this study was to examine the relationship between running velocity and the energy cost of a 180°COD and to quantify the energy cost of a 180°COD. Nine male university students (aged 18–22 years) participated in the study. Five shuttle trials were performed in which the subjects were required to run at different velocities (3, 4, 5, 6, 7, and 8 km/h). Each trial consisted of four stages with different turn frequencies (13, 18, 24 and 30 per minute), and each stage lasted 3 minutes. Oxygen consumption was measured during the trial. The energy cost of a COD significantly increased with running velocity (except between 7 and 8 km/h, p = 0.110). The relationship between running velocity and the energy cost of a 180°COD is best represented by a quadratic function (y = −0.012+0.066x +0.008x2, [r = 0.994, p = 0.001]), but is also well represented by a linear (y = −0.228+0.152x, [r = 0.991, p<0.001]). These data suggest that even low running velocities have relatively high physiological demands if the COD frequency increases, and that running velocities affect the physiological demands of CODs. These results also showed that the energy expenditure of COD can be evaluated using only two data points. These results may be useful for estimating the energy expenditure of players during a match and designing shuttle exercise training programs.

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Section: Discussionmentioning

confidence: 98%

The Relationship between Running Velocity and the Energy Cost of Turning during Running

et al. 2014

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“…A recent study found that when shuttle run distance was reduced from 7.0 to 3.5 m and completed at the same average running speed, the 3.5 m shuttles induced a greater physiological response (Bekraoui et al 2012). Hatamoto et al (2014) found that this greater physiological demand occurred even during walking velocities as low as 3 km h − 1 .…”

Section: Discussionmentioning

confidence: 99%

Energy expenditure associated with walking speed and angle of turn in children

et al. 2018

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PurposeRecent studies have suggested that turning is power intensive. Given the sporadic and irregular movement patterns of children, such findings have important implications for the assessment of true energy expenditure associated with habitual physical activity. The purpose of this study was to investigate the influence of walking speed and angle, and their interaction, on the energy expenditure of healthy children.Methods20 children (10.1 ± 0.5 years; 10 boys) participated in the study. On two separate days, participants completed a turning protocol involving 3-min bouts of walking at one of the 16 speed (2.5, 3.5, 4.5, and 5.5 km h− 1) and angle (0°, 45°, 90°, and 180°) combinations, interspersed by 3 min seated rest. The movement involved 5 m straight walking interspaced with prescribed turns with speed dictated by a digital, auditory metronome. Breath-by-breath gas exchange was measured, in addition to tri-axial acceleration and magnetic field intensity recorded at 100 Hz.ResultsMixed models revealed a significant main effect for speed (p < 0.006) and angle (p < 0.006), with no significant interaction between speed and angle (p > 0.006). Significant differences to straight-line walking energy expenditure within speed were established for 3.5 and 5.5 km h− 1 for 180° turns (~ 13% and ~ 30% increase, respectively).ConclusionThese findings highlight the importance of accounting for the magnitude and frequency of turns completed when estimating children’s habitual physical activity and have significant implications for the assessment of daily energy expenditure.

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“…As the literature on youth tennis is sparse, it is not possible to compare these results to similar studies; however, the mean VO 2 values were lower than those reported for adults performing tennis drills. 3 The difference between adult and youth MET values (ΔMET) for 9-to 12-year-olds was 21% for practice and 24% for match play. Limitations include the small sample size in the 9-to 12-yearold age group, the participation of only Caucasian youth and analysis of data with sexes combined.…”

Section: Discussionmentioning

confidence: 99%

“…Studies on the EE of tennis have reported moderate and high levels of EE. [2][3][4][5][6] This wide range can be related to, complexity of the sport that has both anaerobic and aerobic demands, 5 the number of strokes per point, 4 duration of points which could be less than 10 seconds or much longer, 5 skill level of the participant, 7 whether the match was singles or doubles 2,6 and overall effort given by the player. To date, all of this data has been reported for adults.…”

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confidence: 99%

Comparison of Energy Expenditure of Youth Playing Tennis During Practice and Match Settings

Ondrak

McMurray²

2016

Journal of Physical Activity and Health

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Background:Researchers have investigated the energy expenditure of tennis practice and match play in adults but not youth. Methods: VO 2 was recorded for 36 youth, ages 9 to 18, during 10-minute bouts of tennis practice and match play. A GLM was used to compare VO 2 between practice and match play and among age groups (9-12 years, 13-15 years, and 16-18 years); also to compare the difference in adult and child-derived MET values (ΔMET). Results: VO 2 was higher for tennis match play vs. practice (P < .05) and there was a trend for 16 to 18 year olds having lower VO 2 than 9 to 12 year olds (P = .055). ΔMET did not differ between settings but varied by age group (P = .004); it was highest in 9-to 12-year-olds and lowest in 16-to 18-yearolds. Conclusions: Youth expend more energy while playing a tennis match than practice, regardless of age. Child-derived MET values equaled those of adults once youth reached ages 16 to 18.

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Oxygen uptake and heart rate response of 6 standardized tennis drills

Cited by 20 publications

References 21 publications

The Relationship between Running Velocity and the Energy Cost of Turning during Running

The Relationship between Running Velocity and the Energy Cost of Turning during Running

Energy expenditure associated with walking speed and angle of turn in children

Comparison of Energy Expenditure of Youth Playing Tennis During Practice and Match Settings

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