Next Article in Journal
Radon Exposure in the Underground Tourist Route–Historic Silver Mine in Tarnowskie Góry, Poland
Next Article in Special Issue
Effects of a Six-Week International Tour on the Physical Performance and Body Composition of Young Chilean Tennis Players
Previous Article in Journal
A Cross-Sectional Study of the Perceived Stress, Well-Being and Their Relations with Work-Related Behaviours among Hong Kong School Leaders during the COVID-19 Pandemic
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Relationship between Oxygen Uptake Reserve and Heart Rate Reserve in Young Male Tennis Players: Implications for Physical Fitness Monitoring

by
Jorge E. Morais
1,2,* and
José A. Bragada
1,2
1
Department of Sport Sciences, Instituto Politécnico de Bragança, 5300-252 Bragança, Portugal
2
Research Center in Sports, Health and Human Development (CIDESD), University of Beira Interior, 6201-001 Covilhã, Portugal
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(23), 15780; https://doi.org/10.3390/ijerph192315780
Submission received: 8 November 2022 / Revised: 24 November 2022 / Accepted: 25 November 2022 / Published: 27 November 2022
(This article belongs to the Special Issue Physical Fitness and Health in Tennis Players)

Abstract

:
The aims of this study were to (i) verify the relationship between reserve oxygen uptake (VOreserve) and reserve heart rate (HRreserve) in young male tennis players, and (ii) understand the relationship between oxygen uptake (VO2) measured at the end of a tennis drill and recovery heart rate (HRrecovery) after the tennis drill. Ten young male tennis players (16.64 ± 1.69 years; 62.36 ± 6.53 kg of body mass; 175.91 ± 5.26 cm of height) were recruited from the National Tennis Association. Players were instructed to perform a tennis drill based on an incremental intensity protocol. Afterward, three levels of intensity were used based on VO2reserve and HRreserve. A significant variance was observed between levels (VO2reserve and HRreserve = p < 0.001). VO2reserve presented a significant and high agreement with HRreserve. The mean data revealed non-significant differences (p > 0.05), a very high relationship of linear regression (R2 = 82.4%, p < 0.001), and high agreement in Bland Altman plots. VO2, at the highest level of intensity (>93%), presented a significant correlation with HRrecovery during the immediate 30 s after the drill (rs = 0.468, p = 0.028). Tennis coaches or instructors must be aware of the differences between monitoring or prescribing training intensities based on HRreserve or HRmax. They can also use HRrecovery for 30 s immediately after exercise to verify and understand the variation in their players’ cardiorespiratory capacities.

1. Introduction

Sports modalities based on a competitive/physical activity or leisure context are often monitored to understand the effect of exercise/practice on the overall physical fitness of athletes or participants. The best way to measure the intensity of a given exercise is through oxygen uptake (VO2) [1]. This measures an athlete/participant’s ability to intake oxygen through the respiratory system and deliver it to all working tissues and muscles [2]. Like VO2, HR also increases with exercise intensity to respond to the increased metabolic demands of muscles and other tissues [2]. Thus, for convenience (based on simpler and less expensive equipment), exercise intensity is usually monitored through heart rate (HR) [3,4]. This correct and valid procedure is based on the fact that HR presents an almost perfect linear relationship with oxygen consumption [5]. Therefore, HR has been used for several decades by researchers and coaches to monitor the physical fitness status of athletes [6,7] and the physical activity of participants [8,9].
However, it has been indicated that there is a more accurate procedure to prescribe exercise intensities. This procedure is based on the difference between reserve VO2 (VO2reserve) and maximal VO2 (VO2max), i.e., reserve VO2 (VO2reserve) [10]. This is because VO2 and HR do not have absolute zeros and their maximum values vary according to individual intrinsic characteristics [11]. Indeed, studies have shown that VO2reserve and HRreserve are more closely correlated than VO2max and HRmax [11,12]. Consequently, the use of this procedure engages a more accurate exercise prescription because it is based on each athlete/participant’s lowest and highest VO2 and HR values. Nevertheless, as far as is understood, it appears that this is not a standard procedure used by researchers and coaches in the tennis context. There are studies that have used VO2reserve and HRreserve to understand the exercise intensity or prescription [13,14], and others have used VO2max or HRmax [15,16]. Therefore, it could be argued that researchers and coaches use one or the other without any reasoning behind the choice. Once again, it was not possible to find any information about the relationship between VO2reserve and HRreserve in tennis players. This study will bring deeper insights into training monitoring and prescribing.
Researchers and coaches, regardless of the sport or physical activity, are always looking for new protocols or tests that allow them to have immediate feedback on the overall physical fitness of their athletes [17]. These aim to be simple and non-invasive protocols/tests providing coaches and athletes or participants with immediate outputs. Furthermore, it was reported that recovery heart rate (HRrecovery), i.e., recovery immediately after exercise, can be a strong indicator of the athlete’s or participant’s cardiorespiratory capacity [18,19]. Thus, measuring the decrease in HR during recovery immediately after the end of the exercise is considered a simple, valid, and non-invasive procedure for understanding cardiorespiratory fitness [20,21]. This procedure has the additional advantage of being easily applied in different situations and with commercial equipment that allows the measurement of HR. However, there is no specific information in the literature about the relationship between VO2 at the end of an exercise and HRrecovery. Understanding this relationship may provide coaches and athletes/participants with a practical tool to measure their physical fitness.
Therefore, the aims of this study were to (i) verify the relationship between VO2reserve and HRreserve in young male tennis players and (ii) analyze the relationship between VO2 measured at the end of a tennis drill and HRrecovery, i.e., after the tennis drill. It was hypothesized that a high and strong relationship would be verified between VO2reserve and HRreserve. Moreover, players with higher VO2 at each intensity level would be more likely to recover more beats/min after a tennis drill.

2. Materials and Methods

The sample consisted of 10 young male tennis players (16.64 ± 1.69 years; 62.36 ± 6.53 kg of body mass; 175.91 ± 5.26 cm of height) recruited from the National Tennis Association. At the time of data collection, they were ranked in the national top 50. The inclusion criteria for the participants were (i) being a national-level tennis player and (ii) not having interruptions in daily training. Parents or guardians and players signed an informed consent form. All procedures were in accordance with the Declaration of Helsinki regarding human research, and the Polytechnic Ethics Board approved the research design (Nr. 75/2022).

2.1. Experimental Protocol

Before data collection, players performed a warm-up dedicated to tennis [22]. Afterward, they had a 5 min period to familiarize themselves with the experimental protocol. This consisted of a two-line-wide mode drill test. Players had to alternate between hitting a wide forehand and a wide backhand [13]. A ball machine (Spinfire 2 Pro, Melbourne, Australia) was used to throw the balls with constant velocity (mean: ~78 km/h), always alternating the direction of the ball in the same sequence. Whenever the ball was directed to the right and left sides of the court, players were instructed to perform a forehand and a backhand stroke, respectively. To maintain and ensure the players’ concentration and strictness during the drill, they had to hit the balls on a prominent landing mark on the court. Figure 1 shows the experimental protocol.

2.2. Data Collection

All players were tested on an indoor hard court and under the same conditions. An incremental test with five stages was used based on the two-line-wide mode drill test. Each stage was performed for two minutes. The throwing interval of the ball was used to control the incremental test and consequently the energy demands: (i) stage 1: 12 balls/min; (ii) stage 2: 14 balls/min; (iii) stage 3: 16 balls/min; (iv) stage 4: 18 balls/min; and (v) stage 5: 20 balls/min. After each stage, players passively recovered for 60 s. The drill test ended with the players’ voluntary exhaustion or was interrupted by the researchers if the players felt exhausted.
Before the warm-up, HRrest (beats/min) was measured for 10 min while the players were sitting in silence. For the measurement of HRrest, the average values of the last minute were considered. HR was measured continuously through the entire protocol (exercise and recovery). The players’ HRs were monitored with an HR monitor (Polar H9, Kempele, Finland). VO2 (mL/kg/min) was measured only during the recovery time after each stage. Therefore, VO2 at the end of each level was estimated through backward extrapolation by individual linear regression based on the HR–VO2 relationship [13]. Mean records every 10 s, up to the 30 s limit, were measured and registered. VO2rest was considered to be 1 MET (metabolic equivalent of task; 1 MET = 3.5 mL/kg/min) [23]. Immediately after each level of the drill, players were instructed to hold their breath until the mask was placed to measure VO2. Although the rest time between the stages was one minute, VO2 during recovery was measured for 30 s. Thus, breath-by-breath gas exchange ventilatory values were continuously recorded using the Metalyzer 3B system (Cortex Biophysik, Leipzing, Germany). Gas and volume calibration of the equipment was performed before each test according to the manufacturer’s instructions.
All tennis players performed the protocol until exhaustion, or until they could not hit the ball under acceptable conditions. The acceptance of the effort as maximal was confirmed by the fact that (i) all players reached more than 95% of the age-predicted maximum HR considering the value obtained by the following formula: HRmax = 208 − 0.7 × age [24], where HRmax (beats/min) is the maximal heart rate and age is the participant’s chronological age (years); and (ii) all players scored a 99% fatigue in the last stage of the protocol based on the Micklewright et al. scale [25]. Thus, it can be assumed that the estimated value of VO2 obtained in the last stage is the VO2max.
Data were grouped into levels based on VO2reserve. Three levels of intensity were used: (i) level #1 < 80%; (ii) level #2 from 81% to 93%; and (iii) level #3 > 93% [26]. For each target percentage, the following equation was used:
VO2reserve = ((maximum − rest) × target percentage) + rest
in which VO2reserve is the reserve oxygen uptake (mL/kg/min), maximum is the maximum value of oxygen uptake (mL/kg/min), rest is the oxygen uptake at rest (mL/kg/min), and the target percentage (%) is the percentage of reserve oxygen uptake that is intended.

2.3. Statistical Analysis

The Shapiro–Wilk test was used to test normality and the Levene’s test was used to test the homoscedasticity assumption in VO2reserve, HRreserve, and HRrecovery. The mean plus one standard deviation (SD) was used as a descriptive statistic.
One-way ANOVA (p < 0.05) was used to verify the variance of VO2reserve and HRreserve (per intensity level). The variance effect size (eta square—η2) was computed and interpreted as (i) without effect if 0 < η2 < 0.04; (ii) minimum if 0.04 < η2 < 0.25; (iii) moderate if 0.25 < η2 < 0.64; and (iv) strong if η2 > 0.64 [27]. To understand the agreement between VO2reserve and HRreserve, three procedures were used: (i) mean data comparison; (ii) linear regression; and (iii) Bland Altman plots [28]. For the mean data, the independent samples t-test (p < 0.05) was used. The mean difference, significance value, and 95% confidence intervals (95CI) were considered. For the linear regression, the qualitative interpretation of the relationship was defined as: (i) very weak, if R2 < 0.04; (ii) weak, if 0.04 ≤ R2 < 0.16; (iii) moderate, if 0.16 ≤ R2 < 0.49; (iv) high, if 0.49 ≤ R2 0.80; and (v) very high, if 0.81 ≤ R2 < 1.0 [29]. The Bland Altman analysis included the plots of the difference and average values of VO2reserve and HRreserve [30]. As limits of agreement, a bias of ± 1.96 standard deviation of the difference was used. For qualitative assessment, it was considered that at least 80% of the plots were within the ± 1.96 standard deviation of the difference (95CI). The Spearman correlation coefficient was used to understand the relationship between VO2 at the end of each level and HR during recovery (HRrecovery).

3. Results

Table 1 presents the descriptive statistics of HRreserve and VO2reserve by stage. It is possible to observe that, for each stage increment, both the HRreserve and the VO2reserve increased. This indicates that an increment in the stage increased the energy demand.
Table 2 presents the descriptive data of VO2max, VO2reserve, HRmax, and HRreserve by intensity level. A significant variance was observed in VO2reserve: F = 33.51, p < 0.001 (all pairs were significantly different p < 0.05), with a moderate effect size η2 = 0.58. HRreserve presented a similar trend: F = 68.54, p < 0.001 (all pairs were significantly different p < 0.001), with a strong effect size η2 = 0.74.
The mean data comparison revealed non-significant differences between the percentage of VO2reserve and HRreserve (t = 1.196, p = 0.234, 95CI = –1.813 to 7.321). Figure 2 presents the linear relationship between the percentage of VO2reserve and HRreserve (panel A), and the Bland Altman plots (panel B). A high relationship was observed (R2 = 82.4%, p < 0.001). All plots were within the 95%CI and 95%PI. As for the Bland Altman analysis, more than 80% of the plots were within the 95CI intervals. Therefore, all three criteria of agreement were met.
Table 3 presents the Spearman correlation coefficient between VO2 and HRrecovery during the first 30 s of recovery (HRrecovery (30s)) at each intensity level. At levels #1 and #2, a non-significant correlation was found between VO2 and HRrecovery (30s). Conversely, at level #3 (highest energetic demand) a significant correlation was observed between variables. This indicates that in drills that promote greater energy demand (>93% VO2reserve), players who recover more beats/min in the first 30 s are more likely to present a higher VO2.

4. Discussion

The aim of this study was to verify the relationship between VO2reserve and HRreserve in young tennis players to understand its applicability in monitoring physical fitness and understand the relationship between VO2 measured during a tennis drill and recovery HR (measured immediately after the tennis drill). The main findings indicate that there is a high relationship between VO2reserve and HRreserve in young tennis players performing a specific tennis drill. Additionally, a significant correlation was found between VO2 at the end of the highest intensity level (>93%) and the corresponding HRrecovery (30s).
The data revealed a non-significant difference between the percentages of VO2reserve and HRreserve as well as a very high agreement between them. In other physical activities, such as running [11], cycling [12], or others [31], it was reported that VO2reserve and HRreserve present a strong relationship. Indeed, the American College of Sports Medicine [5] also recommended the use of VOreserve and HRreserve as the most accurate way to prescribe and monitor athletes’ or participants’ cardiorespiratory capacities. As mentioned earlier, this procedure is not always used in the tennis context. Moreover, it was not possible to find a study that verified the relationship between VO2reserve–HRreserve in tennis players. The data showed that for young tennis players a high relationship was observed between VOreserve and HRreserve. Tennis is a sport where performance (i.e., winning matches) may not be strictly related to cardiorespiratory capacity such as running and cycling [32,33]. Therefore, athletes or participants may present a different VO2reserve or HRreserve for similar performance levels. In this context, the controlling and monitoring of intensity seems more appropriate if HRreserve is considered instead of HRmax. Thus, for each participant, their individual variables, such as HRrest, were considered. This procedure is even more advantageous than prescribing exercise based on HRmax, because the value is estimated. Additionally, when using estimated HRmax, the values are the same for all participants of the same age, despite having different cardiorespiratory capacities.
Measuring HR is a simple, less time-consuming, less invasive, and cheaper alternative to using VO2 to measure the athletes’ or participants’ cardiorespiratory capacities. As mentioned earlier, these results indicated that VOreserve and HRreserve present a high relationship in young tennis players. Thus, coaches can prescribe or monitor exercise intensities based on HRreserve. Table 4 presents the HRreserve and HRtarget intervals for a training/practice/drill intensity based on the levels mentioned above [26]. HRtarget is the final HR value that is provided to the athlete/participant to be achieved in training. This is displayed on the wearables commonly used by athletes/participants. Although this value is calculated accurately for the unit, it is common to indicate a range of HR values with the central value being calculated (per example: HRtarget = 150 beats/min, ± 5 beats/min).
Based on the data in Table 4, it is possible to observe that differences are found between the procedures, specifically between HRtarget defined by HRreserve or by HRmax. Based on this example, it can be stated that HRtarget is lower when prescribed by HRmax than by HRreserve, ranging between 4 and 10 beat/min. This happens because when using HRmax, HRrest is not considered. This can be a key factor for training prescription because athletes or participants with similar VO2max/HRmax can have different HRrest. Therefore, tennis coaches or instructors are advised to monitor the HR of their athletes or participants or prescribe exercise training intensities based on HRreserve rather than on HRmax, where the contribution of HRrest is greater.
A significant and positive correlation between VO2 at the end of the highest level of intensity and HRrecovery (30s) was observed. The HRrecovery test is widely described as a simple and accurate procedure to assess cardiorespiratory capacity [21,34]. In fact, it has been reported that a more rapid reduction in HR immediately after exercise is associated with greater cardiovascular capacity [35]. In a review article, the main findings indicated that HRrecovery tends to be greater in trained participants than in untrained ones [36]. Additionally, it was suggested that for the optimal recovery values, healthy athletes can recover 60 or more beats/min during one minute [20]. These assumptions show that athletes or participants with greater cardiorespiratory capacity are more likely to present a higher HRrecovery. Furthermore, a recent study indicated that VO2max in young and healthy adults can also be predicted based on HRrecovery during one minute immediately after exercising [20]. These findings highlight the importance of the relationship between VO2max and one-minute HRrecovery. As mentioned before, the most common HRrecovery tests are based on one- or two-minute recovery, which also present a significant relationship to cardiorespiratory capacity [20,21,36]. However, the data of this study revealed a non-significant correlation between VO2 at the end of each level and one-minute HRrecovery. On the other hand, it was verified that young tennis players presented a significant and positive correlation between VO2 at the end of the highest level of intensity (level #3: >93%) and HRrecovery (30s). This indicates that players or participants who presented higher VO2 at the end of the highest level of demand are more likely to recover more beats/min during the immediate 30 s after the drill/exercise. Therefore, it can be argued that in young tennis players, HRrecovery (30s) may be more related to VO2max than the one-minute recovery.
Overall, these data showed that a significant and high relationship was verified between VO2reserve and HRreserve in young tennis players. As information is scarce about this topic in tennis, these findings may have important practical implications for monitoring and prescribing training. As shown in the given example, differences were found between using HRreserve or HRmax for the same HRtarget. These differences were higher at submaximal levels (<93% VO2reserve) than at maximal or near maximal levels (>93% VO2reserve). Unlike the one-minute HRrecovery, HRrecovery (30s) presented a significant and positive correlation to VO2 at the end of the highest intensity level (>93% VO2reserve). This indicates that, at least in young tennis players, the first 30 s immediately after exercise are more related to greater cardiorespiratory capacity. In general, the present findings indicate that coaches or instructors are advised to use HRreserve to establish HRtargets. In addition, they can also monitor their training program’s effects (in a cardiorespiratory capacity perspective) using HRrecovery (30s) at intensities > 93% VO2reserve (i.e., HRreserve, as a significant and high relationship was verified between these two variables). That is, players or participants who increase their HRrecovery (30s) are also improving their cardiorespiratory capacity.
As the main limitations, it can be considered that: (i) a large sample size may present more consistent findings; (ii) these outputs are only suitable for young male tennis players; and (iii) the experiment was only measured once. Thus, it can be argued that the results of the experiment may have been influenced by the previous day’s sleep, weather, diet, and other factors that could also have affected the results of the physiological parameters. Therefore, future studies on this topic may consider establishing the relationship between VO2reserve and HRreserve in elite or recreational tennis players, as well as in female participants. Moreover, it is also important to understand whether a larger sample size or different participant demographics will present different results in HRrecovery. In addition, applying the same experiment twice will help to verify the reliability of the outputs.

5. Conclusions

A significant and high relationship was observed between VO2reserve and HRreserve in young male tennis players. This means that HRreserve can be used as a substitute for VO2reserve in daily training. In addition, these findings suggest that tennis coaches and instructors must be advised about the differences of monitoring and prescribing training intensities based on HRreserve or HRmax. They are recommended to use the former for accurate results. HRrecovery (30s) was significantly correlated with VO2 at the end of the highest demanding intensity drill (>93% VO2reserve). So, as HRreserve significantly represents VO2reserve, coaches and instructors could use this simple protocol to understand if their players improved their cardiorespiratory capacities immediately after exercises >93% HRreserve.

Author Contributions

Conceptualization, J.E.M. and J.A.B.; Methodology, J.E.M. and J.A.B.; Writing—original draft, J.E.M. and J.A.B.; Writing—review and editing, J.E.M. and J.A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Portuguese Foundation for Science and Technology (FCT) under the grant number UIDB/DTP/04045/2020.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Instituto Politécnico de Bragança (protocol code No. 75/2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the Tennis Association of Porto and the players who participated in the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Schoeller, D.A.; Racette, S. A Review of Field Techniques for the Assessment of Energy Expenditure. J. Nutr. 1990, 120, 1492–1495. [Google Scholar] [CrossRef] [PubMed]
  2. MacInnis, M.J.; Gibala, M.J. Physiological adaptations to interval training and the role of exercise intensity. J. Physiol. 2017, 595, 2915–2930. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Achten, J.; Jeukendrup, A.E. Heart Rate Monitoring. Sport. Med. 2003, 33, 517–538. [Google Scholar] [CrossRef]
  4. Schneider, C.; Hanakam, F.; Wiewelhove, S.S.T.; Döweling, A.; Kellmann, M.; Meyer, T.; Pfeiffer, M.; Ferrauti, A. Heart Rate Monitoring in Team Sports—A Conceptual Framework for Contextualizing Heart Rate Measures for Training and Recovery Prescription. Front. Physiol. 2018, 9, 639. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Kaminsky, L. ACSM’s Resource Manual for Guidelines for Exercise Testing and Prescription; CQUniversity: Sydney, Australia, 2006; ISBN 0-7817-4591-8. [Google Scholar]
  6. Bell, P.G.; Furber, M.J.W.; Van Someren, K.A.; Antón-Solanas, A.; Swart, J. The Physiological Profile of a Multiple Tour de France Winning Cyclist. Med. Sci. Sports Exerc. 2017, 49, 115–123. [Google Scholar] [CrossRef]
  7. Baiget, E.; Iglesias, X.; Fuentes, J.P.; Rodríguez, F.A. New Approaches for On-court Endurance Testing and Conditioning in Competitive Tennis Players. Strength Cond. J. 2019, 41, 9–16. [Google Scholar] [CrossRef]
  8. Bartolomeu, R.F.; Barbosa, T.M.; Morais, J.E.; Lopes, V.P.; Bragada, J.A.; Costa, M.J. The aging influence on cardiorespiratory, metabolic, and energy expenditure adaptations in head-out aquatic exercises: Differences between young and elderly women. Women Health 2016, 57, 377–391. [Google Scholar] [CrossRef]
  9. Andrade, L.S.; Botton, C.E.; David, G.B.; Pinto, S.S.; Häfele, M.S.; Alberton, C.L. Cardiorespiratory Parameters Comparison Between Incremental Protocols Performed in Aquatic and Land Environments by Healthy Individuals: A Systematic Review and Meta-Analysis. Sports Med. 2022, 52, 2247–2270. [Google Scholar] [CrossRef] [PubMed]
  10. Swain, D.P.; Leutholtz, B.C.; King, M.E.; Haas, L.A.; Branch, J.D. Relationship between% heart rate reserve and%??VO2reserve in treadmill exercise. Med. Sci. Sports Exerc. 1998, 30, 318–321. [Google Scholar] [CrossRef] [PubMed]
  11. Solheim, T.J.; Keller, B.G.; Fountaine, C.J. VO2 Reserve vs. Heart Rate Reserve During Moderate Intensity Treadmill Exercise. Int. J. Exerc. Sci. 2014, 7, 311–317. [Google Scholar]
  12. Lounana, J.; Campion, F.; Noakes, T.D.; Medelli, J. Relationship Between% HRmax,% HR Reserve,% VO2max, And% VO2 Reserve in Elite Cyclists. Med. Sci. Sport. Exerc. 2007, 39, 350–357. [Google Scholar] [CrossRef] [PubMed]
  13. Morais, J.E.; A Bragada, J.; Silva, R.; Nevill, A.M.; Nakamura, F.Y.; A Marinho, D. Analysis of the physiological response in junior tennis players during short-term recovery: Understanding the magnitude of recovery until and after the 25 seconds rule. Int. J. Sports Sci. Coach. 2022, 0. [Google Scholar] [CrossRef]
  14. Pialoux, V.; Genevois, C.; Capoen, A.; Forbes, S.C.; Thomas, J.; Rogowski, I. Playing vs. Nonplaying Aerobic Training in Tennis: Physiological and Performance Outcomes. PLoS ONE 2015, 10, e0122718. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Brechbuhl, C.; Girard, O.; Millet, G.P.; Schmitt, L. On the Use of a Test to Exhaustion Specific to Tennis (TEST) with Ball Hitting by Elite Players. PLoS ONE 2016, 11, e0152389. [Google Scholar] [CrossRef] [PubMed]
  16. Kilit, B.; Arslan, E. Effects of High-Intensity Interval Training vs. on-Court Tennis Training in Young Tennis Players. J. Strength Cond. Res. 2019, 33, 188–196. [Google Scholar] [CrossRef]
  17. Beltz, N.M.; Gibson, A.L.; Janot, J.M.; Kravitz, L.; Mermier, C.M.; Dalleck, L.C. Graded Exercise Testing Protocols for the Determination of VO2max: Historical Perspectives, Progress, and Future Considerations. J. Sport. Med. 2016, 2016, 3968393. [Google Scholar] [CrossRef] [Green Version]
  18. Durmić, T.; Ðjelić, M.; Gavrilović, T.; Antić, M.; Jeremić, R.; Vujović, A.; Mihailović, Z.; Zdravkovic, M. Usefulness of heart rate recovery parameters to monitor cardiovascular adaptation in elite athletes: The impact of the type of sport. Physiol. Int. 2019, 106, 81–94. [Google Scholar] [CrossRef]
  19. Lazic, J.S.; Dekleva, M.; Soldatovic, I.; Leischik, R.; Suzic, S.; Radovanovic, D.; Djuric, B.; Nesic, D.; Lazic, M.; Mazic, S. Heart rate recovery in elite athletes: The impact of age and exercise capacity. Clin. Physiol. Funct. Imaging 2015, 37, 117–123. [Google Scholar] [CrossRef]
  20. Bragada, J.A.; Bartolomeu, R.F.; Rodrigues, P.M.; Magalhães, P.M.; Bragada, J.P.; Morais, J.E. Validation of StepTest4all for Assessing Cardiovascular Capacity in Young Adults. Int. J. Environ. Res. Public Health 2022, 19, 11274. [Google Scholar] [CrossRef]
  21. Djurić, B.; Suzić, S. Heart Rate Recovery: Short Review of Methodology. Med. Podml. 2016, 67, 48–50. [Google Scholar] [CrossRef] [Green Version]
  22. Fernandez-Fernandez, J.; García-Tormo, V.; Santos-Rosa, F.J.; Teixeira, A.S.; Nakamura, F.Y.; Granacher, U.; Sanz-Rivas, D. The Effect of a Neuromuscular vs. Dynamic Warm-up on Physical Performance in Young Tennis Players. J. Strength Cond. Res. 2020, 34, 2776–2784. [Google Scholar] [CrossRef] [PubMed]
  23. American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2013; ISBN 1-4698-2666-6. [Google Scholar]
  24. Tanaka, H.; Monahan, K.D.; Seals, D.R. Age-Predicted Maximal Heart Rate Revisited. J. Am. Coll. Cardiol. 2001, 37, 153–156. [Google Scholar] [CrossRef] [Green Version]
  25. Micklewright, D.; Gibson, A.S.C.; Gladwell, V.; Al Salman, A. Development and Validity of the Rating-of-Fatigue Scale. Sports Med. 2017, 47, 2375–2393. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Seiler, S.; Tønnessen, E. Intervals, Thresholds, and Long Slow Distance: The Role of Intensity and Duration in Endurance Training. Sportscience 2009, 13, 32–53. [Google Scholar]
  27. Ferguson, C.J. An effect size primer: A guide for clinicians and researchers. Prof. Psychol. Res. Pract. 2009, 40, 532–538. [Google Scholar] [CrossRef] [Green Version]
  28. Morais, J.E.; Sanders, R.H.; Papic, C.; Barbosa, T.M.; Marinho, D.A. The Influence of the Frontal Surface Area and Swim Velocity Variation in Front Crawl Active Drag. Med. Sci. Sports Exerc. 2020, 52, 2357–2364. [Google Scholar] [CrossRef]
  29. Barbosa, T.M.; Morais, J.E.; Forte, P.; Neiva, H.; Garrido, N.D.; Marinho, D.A. A Comparison of Experimental and Analytical Procedures to Measure Passive Drag in Human Swimming. PLoS ONE 2015, 10, e0130868. [Google Scholar] [CrossRef]
  30. Bland, J.M.; Altman, D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986, 1, 307–310. [Google Scholar] [CrossRef]
  31. Dalleck, L.C.; Kravitz, L. Relationship Between %Heart Rate Reserve And %VO2 Reserve During Elliptical Crosstrainer Exercise. J. Sports Sci. Med. 2006, 5, 662–671. [Google Scholar]
  32. Daniels, J.T.; Yarbrough, R.; Foster, C. Changes in $$\dot V $$ O2 Max and Running Performance with Training. Eur. J. Appl. Physiol. Occup. Physiol. 1978, 39, 249–254. [Google Scholar] [CrossRef]
  33. Butts, N.K.; A Henry, B.; McLean, D. Correlations between VO2max and performance times of recreational triathletes. J. Sports Med. Phys. Fit. 1991, 31, 339–344. [Google Scholar]
  34. Mahon, A.D.; Anderson, C.S.; Hipp, M.J.; Hunt, K.A. Heart Rate Recovery from Submaximal Exercise in Boys and Girls. Med. Sci. Sports Exerc. 2003, 35, 2093–2097. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Jaafar, Z.; Lim, Y.Z. A comparison of low and high dose of moderate intensity aerobic exercise on heart rate recovery of the sedentary adults: A pragmatic randomised controlled trial. J. Sports Med. Phys. Fit. 2022. [Google Scholar] [CrossRef] [PubMed]
  36. Daanen, H.A.; Lamberts, R.P.; Kallen, V.L.; Jin, A.; Van Meeteren, N.L. A Systematic Review on Heart-Rate Recovery to Monitor Changes in Training Status in Athletes. Int. J. Sports Physiol. Perform. 2012, 7, 251–260. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Experimental protocol. (a) indicates landmark for the forehand stroke; (b) indicates landmark for the backhand stroke; cones indicate the indicative target.
Figure 1. Experimental protocol. (a) indicates landmark for the forehand stroke; (b) indicates landmark for the backhand stroke; cones indicate the indicative target.
Ijerph 19 15780 g001
Figure 2. Panel (A)— linear regression between the percentage of VO2reserve and HRreserve. Panel (B)—Bland Altman analysis between the percentage of VO2reserve and HRreserve. VO2reserve—reserve oxygen uptake; HRreserve—reserve heart rate. 95% CI—95% confidence intervals; 95% PI—95% prediction intervals; S—standard error of estimation; R2—determination coefficient.
Figure 2. Panel (A)— linear regression between the percentage of VO2reserve and HRreserve. Panel (B)—Bland Altman analysis between the percentage of VO2reserve and HRreserve. VO2reserve—reserve oxygen uptake; HRreserve—reserve heart rate. 95% CI—95% confidence intervals; 95% PI—95% prediction intervals; S—standard error of estimation; R2—determination coefficient.
Ijerph 19 15780 g002
Table 1. Descriptive statistics of HRreserve and VO2reserve based on the levels performed during the experimental protocol.
Table 1. Descriptive statistics of HRreserve and VO2reserve based on the levels performed during the experimental protocol.
Machine StageMean ± 1SD
HRreserve (beats/min)VO2reserve (mL/kg/min)
1106.3 ± 16.327.8 ± 5.9
2117.7 ± 19.8 32.0 ± 8.7
3126.5 ± 15.434.7 ± 7.6
4135.1 ± 11.436.7 ± 6.3
5140.3 ± 9.238.5 ± 5.5
Average126.0 ± 18.634.2 ± 7.6
Stage—corresponds to the categorization of the test’s intensity; HRreserve—reserve heart rate; VO2reserve—reserve oxygen uptake.
Table 2. Values of VO2max, VO2reserve, HRmax, and HRreserve per intensity level of VO2reserve.
Table 2. Values of VO2max, VO2reserve, HRmax, and HRreserve per intensity level of VO2reserve.
Mean ± 1SD
VO2max
(mL/kg/min)
VO2reserve
(mL/kg/min)
HRmax
(beats/min)
HRreserve
(beats/min)
Level #1—VO2reserve < 80%29.0 ± 5.625.5 ± 5.6157.9 ± 13.7102.5 ± 13.1
Level #2—81% < VO2reserve ≤ 93%38.1 ± 4.634.6 ± 4.6186.7 ± 12.0131.3 ± 11.0
Level #3—VO2reserve > 93%43.0 ± 4.839.5 ± 4.8192.7 ± 11.5137.5 ± 10.4
VO2max—maximal oxygen uptake; VO2reserve—reserve oxygen uptake; HRmax—maximal heart rate; HRreserve—reserve heart rate.
Table 3. Spearman correlation coefficient between VO2 and HRrecovery (30s) by intensity level. It also presents the beats/min (mean ± 1 SD) recovered in each level during the immediate 30 s after the drill.
Table 3. Spearman correlation coefficient between VO2 and HRrecovery (30s) by intensity level. It also presents the beats/min (mean ± 1 SD) recovered in each level during the immediate 30 s after the drill.
VO2 Level #1VO2 Level #2VO2 Level #3
HRrecovery(30s) level #130.14 ± 9.13rs = 0.343 (p = 0.230)
HRrecovery(30s) level #2 26.17 ± 8.20rs = −0.068 (p = 0.810)
HRrecovery(30s) level #3 21.91 ± 6.42rs = 0.468 (p = 0.028)
HRrecovery (30s) —recovery heart rate for 30 s; VO2—oxygen uptake.
Table 4. Training intensities based on individual HRreserve.
Table 4. Training intensities based on individual HRreserve.
HRreserveHRmaxDifference
(beats/min)
HRreserve
(beats/min)
HRtarget
(beats/min)
HRtarget
(beats/min)
HRreserve < 80%<120<170<16010
HRreserve (80%–93%)(120–140)(170–190)(160–186)10–4
HRreserve > 93%>140 >190>186>4
HRreserve—reserve heart rate; HRtarget—target heart rate to be achieved for practice/training.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Morais, J.E.; Bragada, J.A. Relationship between Oxygen Uptake Reserve and Heart Rate Reserve in Young Male Tennis Players: Implications for Physical Fitness Monitoring. Int. J. Environ. Res. Public Health 2022, 19, 15780. https://doi.org/10.3390/ijerph192315780

AMA Style

Morais JE, Bragada JA. Relationship between Oxygen Uptake Reserve and Heart Rate Reserve in Young Male Tennis Players: Implications for Physical Fitness Monitoring. International Journal of Environmental Research and Public Health. 2022; 19(23):15780. https://doi.org/10.3390/ijerph192315780

Chicago/Turabian Style

Morais, Jorge E., and José A. Bragada. 2022. "Relationship between Oxygen Uptake Reserve and Heart Rate Reserve in Young Male Tennis Players: Implications for Physical Fitness Monitoring" International Journal of Environmental Research and Public Health 19, no. 23: 15780. https://doi.org/10.3390/ijerph192315780

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop