Skip to main content

ORIGINAL RESEARCH article

Front. Sports Act. Living, 17 April 2023
Sec. Elite Sports and Performance Enhancement
Volume 5 - 2023 | https://doi.org/10.3389/fspor.2023.1159807

Validity of a new sport-specific endurance test in artistic gymnastics

  • 1Department of Individual Sports, High Institute of Sport and Physical Education of Ksar Said, Manouba University, Tunis, Tunisia
  • 2Department of Physical Education and Sport Sciences, College of Education, Sultan Qaboos University, Muscat, Sultanate of Oman
  • 3Research Unit (UR17JS01) Sport Performance, Health & Society, Higher Institute of Sport and Physical Education of Ksar Saïd, University of Manouba, Manouba, Tunisia
  • 4Division of Training and Movement Sciences, Research Focus Cognition Sciences, University of Potsdam, Potsdam, Germany

Introduction: General and particularly sport-specific testing is an integral aspect of performance optimization in artistic gymnastics. In artistic gymnastics, however, only non-specific field tests have been used to assess endurance performance (e.g., Multistage Shuttle Run Test; Cooper's Test).

Methods: This study aimed to examine the validity of a new sport-specific endurance test in artistic gymnastics. Fourteen elite-level gymnasts (i.e., eight males and six females) participated in this study. The newly developed artistic gymnastics-specific endurance test (AGSET) was conducted on two different occasions seven days apart to determine its reliability. To assess the concurrent validity of AGSET, participants performed the multistage shuttle run test (MSRT). Maximum oxygen uptake (VO2max) and respiratory exchange ratio (RER) were directly assessed using a portable gas analyzer system during both protocols. Additionally, the total time maintained (TTM) during the AGSET, maximum heart rate (HRmax), maximal aerobic speed (MAS), and blood lactate concentration (BLa) during the two protocols were collected.

Results: The main findings indicated that all variables derived from the AGSET (i.e., VO2max, MAS, HRmax, BLa, and RER) displayed very good relative (all intraclass correlation coefficients [ICC] > 0.90) and absolute (all typical errors of measurement [TEM] < 5%) reliability. Further, results showed that the ability of the AGSET to detect small changes in VO2max, MAS, BLa, and RER was good (smallest worthwhile change [SWC0.2] > TEM), except HRmax (SWC0.2 < TEM). Additionally, results showed a nearly perfect association between the VO2max values derived from the AGSET and MSRT (r = 0.985; coefficient of determination [R²] = 97%) with no statistically significant differences (p>0.05). The mean (bias) ± 95% limits of agreement between the two protocols were 0.28 ± 0.55 mlminkg-1.

Discussion: AGSET seems to present very good reliability and concurrent validity for assessing endurance performance in elite artistic gymnastics. In addition, the newly developed protocol presents a good ability to detect small changes in performance.

1. Introduction

Artistic gymnastics is a demanding Olympic sport that requires high levels of muscle strength, muscle power, strength endurance, flexibility, balance, and aerobic/anaerobic metabolism (1). A typical competition in men's artistic gymnastics requires the athlete to perform six different exercise routines. These are the floor exercise, pommel horse, still rings, vault, parallel bars, and high bar. Women's artistic gymnastics competition consists of four different exercise routines, namely the vault, uneven bars, balance beam, and floor exercise.

It is well-known that the contribution of the various metabolic systems differs from one apparatus to the other (2). In fact, there is evidence that blood lactate concentration (BLa) and heart rate (HR) kinetics depend on the apparatus with the floor and uneven bar exercises inducing the highest values during simulated women's artistic gymnastics competition (3). The same authors also reported that values of HR and BLa were still noticeably higher after 10 min of recovery compared to the resting levels (3). Additionally, Jemni et al. (4) synthesized the literature related to men's artistic gymnastics and concluded that the floor routine is associated with the highest energy cost followed by the pommel horse, rings, high bar, parallel bars, and vault. Furthermore, earlier studies (5, 6) quantified the excess post-exercise oxygen consumption during the first 30 s following female gymnastic routines. Similar to males, results indicated that the floor routine has the highest energy cost followed by the uneven bars, the balance beam, and the vault. Recently, Kaufmann et al. (7) quantified the energetic demands of a simulated floor routine competition in male and female sub-elite artistic gymnasts. The authors demonstrated a predominant contribution of the aerobic system (58.9%) followed by the anaerobic alactic (24.2%) and the anaerobic lactic systems (16.9%). In the same context, Marina and Rodríguez (8) revealed that the average relative peak intensities reached during the various women artistic gymnastics events ranges between 65% and 85% of the individual VO2max and HRmax recorded in laboratory conditions. Recently, Goulart et al. (9) examined the energy expenditure and effort intensity during women artistic gymnastics training sessions. They reported that female artistic gymnasts spent higher time at 60%–70% and 70%–80% than at 80%–90% HRmax. Also, authors revealed that training sessions afford high energy expenditure (768.3 ± 168.5 kcal and 6.1 ± 0.6 metabolic equivalent of task) and concluded that women artistic gymnasts performed long-duration, moderate-intensity training sessions that require high energetic demands.

In this regard, there is clear evidence that the demands on the cardiorespiratory and metabolic systems, either in training and particularly in competition settings, are greater than previously thought. As such, the assessment and development of endurance capacity in artistic gymnastics are crucial for a successful performance. Of note, the development of new valid sport-specific fitness tests that mimic the form of exercise of the sport under scrutiny is warranted (10). Over the last few years, some attempts have been made to create and validate sport-specific tests for artistic gymnastics. Salse-Batán et al. (10) conducted a literature review on the validity and reliability of physical field tests in gymnastics (i.e., artistic, rhythmic, and aerobic gymnastics). The same authors showed that there are only two sport-specific field tests available that assess the aerobic/anaerobic endurance of gymnasts. The first was developed by Alves et al. (11) to assess specific anaerobic endurance performance in elite aerobic gymnasts and the results indicated good reliability (ICC = 0.97) and sensitivity of the protocol. However, this test has some limitations. The test includes only female gymnasts and whenever a gymnast does not complete the skill elements correctly, the test should be canceled. This may prevent athletes from reaching their limits of performance, making the whole protocol rather submaximal. The second was proposed by Gateva (12) to assess the specific endurance of rhythmic gymnasts. The author compared the physiological strain between the specific endurance test and a rhythmic gymnastics competitive routine and revealed similar HR and BLa responses. However, the same author failed to address crucial features of the test, such as validity and reliability, preventing this protocol from being further used by practitioners.

In artistic gymnastics, however, only non-specific field tests have been used to assess endurance performance (e.g., Multistage Shuttle Run Test [MSRT]; Cooper's Test) (10). To the best of the authors' knowledge, there is no sport-specific endurance field test for artistic gymnastics, pointing to a void in the literature. The two above-mentioned sport-specific protocols related to aerobic (11) and rhythmic gymnastics (12) cannot directly be applied in artistic gymnastics. This is because aerobic and rhythmic gymnastics afford different physical and especially physiological demands compared to artistic gymnastics (5). In fact, rhythmic gymnastics demands more joint mobility while artistic gymnastics requires more strength, postural control, and endurance (13). Additionally, artistic gymnastics participation promotes larger hypertrophy of the muscles than rhythmic and aerobic gymnastics (14). In addition, artistic gymnastics requires a higher level of muscle strength and postural control than aerobic gymnastics (15). Therefore, this study aimed to develop and validate a new sport-specific field test to assess specific endurance in men's and women's artistic gymnasts. We specifically aimed to explore the reliability, concurrent validity, as well as sensitivity of the new protocol in elite artistic gymnasts of both sexes.

2. Material and methods

2.1. Participants

The sample size was estimated a priori based on the intraclass correlation coefficient (ICC) using an online calculator tool [https://wnarifin.github.io/ssc/ssicc.html (16, 17)]. We set the minimum acceptable ICC at 0.60, the suspected true ICC at 0.90, the type I error at 0.05, and the statistical power at 80%. The analysis indicated that a minimum of fourteen participants are sufficient. Therefore, fourteen gymnasts, eight males (age 21.56 ± 1.33 years; body height 1.71 ± 0.06 m; body mass 66.11 ± 6.70 kg) and six females (age 20.83 ± 0.75 years; body height 1.68 ± 0.04 m; body mass 58.40 ± 6.95 kg), voluntarily participated in this study. The inclusion criteria included a) regularly competing at the national and/or international level, b) average training volume of 25 ± 2 h per week, and c) being healthy, with no muscular, neurological, or tendon injuries in the last six months. After being informed in advance of the procedures, methods, benefits, and possible risks of the study, each participant had to review and sign a consent form to participate in the study. The experimental protocol was performed per the declaration of Helsinki for human experimentation and was approved by the local ethical committee of the national observatory of sport (ONS/UR/18JS01), Tunis, Tunisia.

2.2. Experimental design and procedures

This study is made up of three random assessments (i.e., randomized counterbalanced, Latin Square (18)). Every assessment took place on a separate day with a minimum of 72 h between the artistic gymnastics-specific endurance test (AGSET) and MSRT. Seven days separated the performance of the sport-specific test and retest. Before the first assessment (i.e., 72 h), a familiarization session with AGSET was conducted. All assessments were carried out in the gymnasium at the same time of the day (between 10:00PM and 12:00PM). In each of the assessments, the MSRT or the AGSET was conducted. Of note, the AGSET was carried out twice to assess its test-retest reliability. In both protocols, a breath-by-breath portable gas analyzer system was used (Cosmed K4b2, Rome, Italy) to quantify the V˙O2 and V˙CO2 in expired air and the respiratory exchange ratio (RER). The heart rate (HR) was recorded using a Polar Team Pro® heart rate monitor (Polar Electro, Kample, Finlande). A sample of capillary blood from the earlobe was obtained three minutes after the end of MSRT and AGSET for BLa concentration analysis. This was performed using a portable blood lactate analyzer (Lactate Pro® Kit, ARKRAY Factory, Inc. USA).

2.2.1. Multistage shuttle run test

This test involved continuous running back and forth between two lines 20 meters apart at the same time that a sound signal is emitted from a pre-recorded tape. The frequency of the sound signals increases in such a way that the running speed is increased by 0.5 km·h−1 each minute from a starting speed of 8.5 km·h−1. The test is terminated when the gymnast is no longer able to follow the set pace and failed to reach the 20 m mark twice (19). The last announced stage number or the equivalent maximal aerobic speed (MAS) is then used as the VO2max index. Additionally, the V˙O2max, V˙O2, and V˙CO2 were directly assessed with a breath-by-breath portable gas analyzer system (Cosmed K4b2, Rome, Italy).

2.2.2. Artistic gymnastics-specific endurance test

The AGSET was inspired by the “Big marathon test” from the FIG women's artistic gymnastics battery (20) which was validated by Nassib et al. (21). The protocol was performed on a regular artistic gymnastics floor (i.e., 14 × 14 m). During each stage of the protocol, the gymnast performs acrobatic elements on the diagonal (i.e., round-off followed by two flic-flac) and runs on the side across 12 m (Figure 1). One complete stage is composed of two diagonals and two sides. The time allowed for each diagonal/acrobatic element is fixed at seven seconds, while the running speed on the sides increased progressively from one stage to the next. The start running speed is 8.5 km·h−1 and is increased by 0.5 km·h−1 per stage (Table 1). In case the floor corner is reached before the beep sounds, the gymnast must wait until the beep sounds before continuing. However, if the floor corner is not reached before the beep sounds, the gymnast is given a warning and must continue to the floor corner, then turn and try to catch up with the pace imposed by the beeps. A warning was given the first time the gymnast fails to reach the floor corner. The second warning results in an elimination and termination of the protocol. VO2max, RER, MAS, HRmax, BLa, and the total time maintained (TTM) were collected during and following the AGSET for further analysis. The soundtrack (i.e., beeps) was made with Music Maker software version 28.02.43 (MAGIX Software GmbH).

FIGURE 1
www.frontiersin.org

Figure 1. Graphical illustration of the artistic gymnastic-specific endurance test. The test begins with the gymnast standing on the “corner (A)”. After the start command (beep), the gymnast performs, in the diagonal, an acrobatic series consisting of a round-off followed by two flic-flac to reach the “corner (B)”. At the beep signal, the gymnast runs 12 m on the side of the floor toward the “corner (C)”. Following this, and at the beep signal, the gymnast must then perform on the second diagonal a round-off followed by two flic-flac to reach the “corner (D)”. After the beep signal, the gymnast then runs 12 m to reach the “corner A”, concluding the first stage. Afterward, the gymnast starts the second stage by repeating the same routine as described above until he/she won't be able to keep up with the pace and/or reaches the corners in time.

TABLE 1
www.frontiersin.org

Table 1. Details of the artistic gymnastics-specific endurance test.

2.3. Statistical analyses

Data are reported as means ± standard deviations (SD) and 95% confidence intervals (95% CI). Effect size (d) was calculated using GPower software [Bonn FRG, Bonn University, Department of Psychology (22)]. The following scale was used to interpret d: < 0.2, (trivial); 0.2–0.6 (small); 0.6–1.2 (moderate); 1.2–2.0 (large); and > 2.0 (very large) (23). The normality of distribution, estimated by the Shapiro-Wilk test, was acceptable for all variables. Therefore, paired sample t-test was applied to compare the output of the two protocols (i.e., MSRT and AGSET). The AGSET first test was used for comparison with MSRT. The association between variables derived from both tests was assessed using Pearson correlation coefficients (r). The magnitude of the correlation was interpreted as follows: trivial r < 0.1, small 0.1 < r < 0.3, moderate 0.3 < r < 0.5, large 0.5 < r < 0.7, very large 0.7 < r < 0.9, nearly perfect r > 0.9 and perfect r = 1 (Hopkins (24).To determine the amount of shared variance, the coefficient of determination (R2) was calculated. Additionally, linear regression analysis was conducted to predict the VO2max during the MSRT based on the TTM during the AGSET.

To assess the level of agreement between MSRT and AGSET, the Bland and Altman method was applied (25). Additionally, the relative and absolute reliability of AGSET were examined using the ICC and the typical error of measurement (TEM) expressed as coefficient of variation (CV), respectively. The sensitivity of the AGSET was assessed by comparing the smallest worthwhile change (SWC0.2) with the TEM. The SWC0.2 was calculated by multiplying the between-subject SD by 0.2 (26). The ability of the test to detect small changes in performance was rated as “good”, “OK”, or “marginal” when the TEM was below, similar, or higher than the SWC0.2, respectively (27). The minimal detectable change (MDC95%) of the AGSET, which represents 95% CI of the difference in score between paired observations that can be considered real and exceeds measurement errors, was determined as MDC95% = TEM · 1.96 · √2 (28). The significance level was set at p ≤ 0.05. All statistical analyses were performed using the software package SPSS 20.0 (SPSS, Inc, Chicago, IL, USA) and MedCalc version 9.2.1.0 (Ostend, Belgium).

3. Results

The main findings of this study showed no significant differences (p > 0.05) in VO2max and MAS between the MSRT and the AGSET (Table 2). Likewise, we observed no significant differences in maximal heart rate (HRmax), BLa, and RER between the two protocols (p > 0.05).

TABLE 2
www.frontiersin.org

Table 2. Comparison between the outcomes of multistage shuttle run test and artistic gymnastics-specific endurance test.

The results of the paired sample t-test indicated no significant test-retest difference for the AGSET (p > 0.05), indicative of an absence of systematic bias. The reliability analysis showed that all variables derived from the AGSET (i.e., VO2max, MAS, BLa, and TTM) displayed very good relative (all ICC > 0.90 except HRmax [ICC = 0.608] and RER [ICC = 0.824]) and absolute (all TEM < 5%) reliability (Table 3). The ICC values were consistent across sexes and ranged between 0.604 and 0.993 (i.e., VO2max: 0.993 and 0.964; MAS: 0.976 and 0.956; HRmax: 0.708 and 0.654; BLa: 0.930 and 0. 824; RER: 0.646 and 0.604, for males and females respectively). Additionally, results showed that the ability of the AGSET to detect small changes in VO2max, MAS, BLa, RER, and TTM was good (SWC0.2 > TEM), except HRmax (SWC0.2 < TEM). Furthermore, the MDC95% relative to VO2max and MAS from the AGSET was 0.11 ml.min.kg−1 and 0.15 km·h−1, respectively.

TABLE 3
www.frontiersin.org

Table 3. Reliability outcomes of the artistic gymnastics-specific endurance test.

Regarding the correlation analysis, results showed a nearly perfect association between the VO2max, during the AGSET and MSRT (r = 0.985 [R² = 97%]). Likewise, a nearly perfect association between the MAS registered during the AGSET and MSRT was observed (r = 0.984 [R² = 0.96]). The mean (bias) ± 95% limits of agreement between the two protocols were 0.28 ± 0.55 ml·min·kg−1 for VO2max and 0.11 ± 0.21 km·h−1 for MAS (Table 4, Figure 2). Also, large to very large associations between HRmax (r = 0.830), BLa (r = 0.736), RER (r = 0.745), and TTM (r = 0.889) were noted during AGSET and MSRT. Further, we reported significant, very large correlations between the MAS and VO2max (r = 0.984), the BLa and RER (r = 0.711), and the TTM and HRmax (r = 0.886), RER (r = 0.923), and MAS (r = 0.905) during the AGSET. “Moreover, a significant very large association between AGSET's TTM and VO2max derived from the MSRT was observed” instead Likewise, TTM during the AGSET displayed a significant very large correlation with MAS (r = 0.822) from the MSRT.

FIGURE 2
www.frontiersin.org

Figure 2. Bland and altman plots for maximal oxygen uptake (A) and maximal aerobic speed (B) derived from multistage shuttle run test and artistic gymnastics-specific endurance test.

TABLE 4
www.frontiersin.org

Table 4. Results of the correlation and Bland and Altman analysis between maximal oxygen uptake and maximal aerobic speed derived from the multistage shuttle run test and the artistic gymnastic-specific endurance test.

Linear regression was used to predict the VO2max during MSRT from the TTM during AGSET (equation 1) and VO2max during AGSET from MAS (equation 2). The equation was as follows:

MSRTVO2max=46.344+1.20AGSETTTM(r=0.810;R2=0.604;ESE=0.797)(1)
AGSETVO2max=31.884+1.629AGSETMAS(r=0.794;R2=0.601;ESE=0.747)(2)

Where MSRT is the multistage shuttle run test, AGSET is the artistic gymnastics-specific endurance test, TTM is the total time maintained, r is the correlation coefficient, R² is the coefficient of determination, and ESE is the estimated standard error.

4. Discussion

This study aimed to develop and validate a sport-specific field test to evaluate the endurance capacity of artistic gymnasts. The AGSET was created based on the technical and physiological demands of artistic gymnastics routines. The main findings demonstrated that all variables derived from the AGSET (i.e., VO2max, MAS, HRmax, BLa, RER, and TTM) displayed very good relative and absolute reliability. Further, results showed that the ability of the AGSET to detect small changes in VO2max, MAS, BLa, RER, and TTM was good, except for HRmax. Furthermore, results showed a nearly perfect association between the VO2max values derived from the AGSET and MSRT, indicative of a very good concurrent validity of the new protocol to assess endurance performance in elite artistic gymnasts.

Aerobic capacity is crucial for successful performance in artistic gymnastics. In this sense, a recently published study by Kaufmann et al. (7) demonstrated that aerobic metabolism predominates the energy produced (58.6%) during the floor routine followed by the anaerobic alactic (24.2%) and the anaerobic lactic (16.9%) systems in male and female sub-elite gymnasts. In fact, artistic gymnastics is a high-intensity intermittent sport, in which the acrobatic routine during the floor exercise can last up to 90 s (5). It is therefore conceivable that performance is largely dependent on the energy transferred through aerobic metabolism, but also anaerobic systems (7). Artistic gymnastics develops more strength, power, speed, and endurance than other gymnastic disciplines (13). Women's artistic gymnastics has less relative explosive power and strength than men's artistic gymnastics, specifically in the upper body (29). Also, men's artistic gymnastics reaches 8%–9% higher run-up speeds than women's artistic gymnastics (29). Sex differences in sprint speed, strength, and power are of a biological origin, and they do not affect the energetical demands of artistic gymnastics (6). The results of the present study showed high relative and absolute reliability of the different parameters derived from the AGSET. Specifically, the ICC and TEM values calculated between the test and retest for VO2max, and MAS were >0.90 and < 5%, respectively. Further, the sensitivity of AGSET was assessed by comparing the SWC0.2 with the TEM. Results showed that the ability of the AGSET to detect small changes in VO2max, MAS, BLa, RER, and TTM was good (SWC0.2 > TEM), except for HRmax (SWC0.2 < TEM). Moreover, the MDC95% is a useful metric that outlines the relative change necessary that would reflect a “true” (i.e., significant) enhancement in performance beyond the random changes. The MDC95% value for VO2max showed in this study was 0.11 ml·min·kg−1 indicating that a change in the VO2max beyond this value could be considered “real” and reflect a true performance improvement in elite-level artistic gymnasts. This study is unique and therefore there are no previous findings to compare with. Of note, there are only two specific endurance tests available. The first was developed by Alves et al. (11) for aerobic gymnastics and the second was developed by Gateva (12) for rhythmic gymnastics (10). Besides the methodological concerns (12), the two protocols cannot be used with artistic gymnasts because of the different physical and physiological features that artistic gymnastics affords compared with aerobic and rhythmic gymnastics (5). Rhythmic gymnastics develops more joint mobility and artistic gymnastics develops more strength, balance, and endurance (13). There is partial use of the lower limbs in rhythmic gymnastics and bilateral improvement in the upper limbs in artistic gymnastic athletes (30). Thus, artistic gymnastics seems to promote more muscle hypertrophy than rhythmic and aerobic gymnastics do (14). In addition, artistic gymnastics develops more strength and balance than aerobic gymnastics (15). Therefore, the physiological adaptations elicited by artistic, rhythmic, and aerobic gymnastics are likely different. With this in mind, the current sport-specific field protocol is the first for artistic gymnastics. As such, future studies including a larger sample size are needed to substantiate the present findings and to establish normative values for artistic gymnastics.

The concurrent validity of AGSET was assessed by establishing its association with the MSRT. The main results demonstrated a nearly perfect correlation with a high level of shared variances between the VO2max and MAS derived from both measurement protocols (r = 0.985 [R² = 97%] and r = 0.984 [R² = 0.96], respectively). This indicates that the newly developed protocol can assess key parameters of the aerobic system including the VO2max, which is generally accepted as the best single measure of aerobic performance (31). Additionally, the mean (bias) ± 95% limits of agreement between the two protocols were 0.28 ± 0.55 ml·min·kg−1 for VO2max and 0.11 ± 0.21 km·h−1 for MAS. The small mean differences between the AGSET and MSRT confirm the results of the correlation analysis, that the new sport-specific protocol is valid to assess endurance performance in artistic gymnasts of both sexes. Interestingly, the TTM during the AGSET displayed a significant, very large association with MAS from the MSRT (r = 0.822). This means that TTM during the AGSET can be used as a proxy for the endurance performance of artistic gymnasts.

4.1. Limitations

This study is not without limitations. First, the recruited small sample size (n = 14) is relatively small. However, unlike team sports, the overall athletic population in artistic gymnastics is rather small, so attempting to recruit a larger sample size is very difficult or even unrealistic, particularly at the elite level. Nevertheless, future studies with larger sample sizes are needed to substantiate the current findings. Second, it would have been better to use the treadmill laboratory test, as the gold standard, in addition to the field test. However, this was not affordable at the time. Additionally, the MSRT is a well-accepted valid and reliable field test that has been used in different populations, regardless of age, sex, and level of experience (32, 33). Furthermore, we opted to directly measure the gas exchange during the MSRT using a portable gas analyzer system and this would account for the absence of a treadmill laboratory test.

5. Conclusions

Based on the current findings, the AGSET could be considered a valid and reliable tool to assess aerobic endurance in high-level artistic gymnasts. Practitioners who do not afford to measure VO2max directly e.g., using a portable gas analyzer system, can rely on MAS and/or the TTM as informative proxies for endurance performance in high-level artistic gymnasts.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics statement

The studies involving human participants were reviewed and approved by the local ethical committee of the higher institute of sports and physical education of Ksar Said, University of Manouba, Tunisia. The patients/participants provided their written informed consent to participate in this study.

Author contributions

Conceptualization, B.M.; methodology, B.M. and S.A.; software, B.M.; validation, B.M., and H.C.; formal analysis, B.M.; investigation, B.M. and A.B.A.; resources, B.M. and S.A.; data curation, B.M.; writing-original draft preparation, B.M.; writing-review and editing, B.M. and H.C.; visualization, H.C.; supervision, H.C.; project administration, H.C. All authors contributed to the article and approved the submitted version.

Acknowledgments

We would like to thank all the gymnasts as well as the coaches for their valuable help and invaluable common sense while dealing with this study. This study is supported by the Deutsche Forschungsgemeinschaft (DFG) and Open Access Publishing Fund of University of Potsdam, Germany.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Moeskops S, Oliver JL, Read PJ, Cronin JB, Myer GD, Lloyd RS. The physiological demands of youth artistic gymnastics: applications to strength and conditioning. Strength & Cond J. (2019) 41:1. doi: 10.1519/SSC.0000000000000404

CrossRef Full Text | Google Scholar

2. Jemni M. The science of gymnastics: Advanced concepts. London and New York: Routledge, Taylor & Francis Group (2017b).

3. Isacco L, Ennequin G, Cassirame J, Tordi N. Physiological pattern changes in response to a simulated competition in elite Women's Artistic gymnasts. J Strength Cond Res. (2019) 33(10):2768–77. doi: 10.1519/jsc.0000000000002184

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Jemni M, Friemel F, Sands W, Mikesky A. Evolution of the gymnasts physiological profile during the last 40 years. Can J Appl Physiol. (2001) 26(5):442–56. doi: 10.1139/h01-027

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Armstrong N, Sharp NC. “Gymnastics physiology,”. In: Caine DJ, Russell K, Lim L, editors. Handbook of sports medicine and science—gymnastics. New Delhi, India: Chichester: Wiley (2013). p. 85–97.

6. Jemni M. “Energetics of gymnastics,”. In: Jemni M, editors. The science of gymnastics: advanced concepts. London and New York: Routledge, Taylor & Francis Group (2017a). p. 5–22.

7. Kaufmann S, Ziegler M, Werner J, Noe C, Latzel R, Witzany S, et al. Energetics of floor gymnastics: aerobic and anaerobic share in male and female sub-elite gymnasts. Sports Med—Open. (2022) 8(1):3. doi: 10.1186/s40798-021-00396-6

CrossRef Full Text | Google Scholar

8. Marina M, Rodríguez F. Physiological demands of young women's Competitive gymnastic routines. Biol Sport. (2014) 31(3):217–22. doi: 10.5604/20831862.1111849

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Goulart KNdO, Vieira MM, Aleixo IMS, Wilke CF, Wanner SP. Estimated energy expenditure and training intensity in young female artistic gymnasts. Motriz: Revista de Educação Física. (2022) 28:1–8. doi: 10.1590/S1980-657420220009821

CrossRef Full Text | Google Scholar

10. Salse-Batán J, Varela S, García-Fresneda A, Ayán C. Reliability and validity of field-based tests for assessing physical fitness in gymnasts. Apunts Sports Med. (2022) 57(216):100397. doi: 10.1016/j.apunsm.2022.100397

CrossRef Full Text | Google Scholar

11. Alves CRR, Borelli MTC, Paineli VdS, Azevedo RdA, Borelli CCG, Lancha Junior AH, et al. Development of a specific anaerobic field test for aerobic gymnastics. PLOS ONE. (2015) 10(4):e0123115. doi: 10.1371/journal.pone.0123115

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gateva M. Modified field test for determining the specific endurance in rhythmic gymnastics. J Applied Sports Sci. (2019) 3(1):3–12. doi: 10.37393/jass.2019.01.1

CrossRef Full Text | Google Scholar

13. Russo L, Palermi S, Dhahbi W, Kalinski SD, Bragazzi NL, Padulo J. Selected components of physical fitness in rhythmic and artistic youth gymnast. Sport Sci Health. (2021) 17(2):415–21. doi: 10.1007/s11332-020-00713-8

CrossRef Full Text | Google Scholar

14. Vicente-Rodriguez G, Dorado C, Ara I, Perez-Gomez J, Olmedillas H, Delgado-Guerra S, et al. Artistic versus rhythmic gymnastics: effects on bone and muscle mass in young girls. Int J Sports Med. (2007) 28(05):386–93. doi: 10.1055/s-2006-924397

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Lamošová A, Kyselovičová O, Tomková P. Anthropometric and motor changes after one-year aerobic gymnastics training in young gymnasts. Sci of Gymnastics J. (2021) 13(2):243–51. doi: 10.52165/sgj.13.2.243-251

CrossRef Full Text | Google Scholar

16. Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. (1998) 17(1):101–10. doi: 10.1002/(SICI)1097-0258(19980115)17:1/101::AID-SIM727%3E3.0.CO;2-E

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Borg DN, Bach AJE, O'Brien JL, Sainani KL. Calculating sample size for reliability studies. Pm r. (2022) 14(8):1018–25. doi: 10.1002/pmrj.12850

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zar J. Multiple comparisons. Biostatistical Analysis. (1984) 1:185–205.

Google Scholar

19. Léger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. (1988) 6(2):93–101. doi: 10.1080/02640418808729800

CrossRef Full Text | Google Scholar

20. Stan A, Fie J, Fetzer J, Fink H, Bohner W, Solar N, et al. “Age group technical program,”. In: Adrian S, editors. FIG Age group development program. Lausanne, Switzerland: International Gymnastics Federation (2001). p. 59–93.

21. Nassib SH, Mkaouer B, Riahi SH, Wali SM, Nassib S. Prediction of gymnastics physical profile through an international program evaluation in women artistic gymnastics. J Strength & Cond Res. (2020) 34(2):577–86. doi: 10.1519/jsc.0000000000001902

CrossRef Full Text | Google Scholar

22. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behav Res Methods. (2009) 41(4):1149–60. doi: 10.3758/BRM.41.4.1149

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Scanlan AT, Dascombe BJ, Reaburn PR. The construct and longitudinal validity of the basketball exercise simulation test. The J Strength & Cond Res. (2012) 26(2):523–30. doi: 10.1519/JSC.0b013e318220dfc0

CrossRef Full Text | Google Scholar

24. Hopkins WG. A new view of statistics. A scale of magnitudes for effect statistics. Sportscience. (2002). [Online], 502. Available: www.sportsci.org/resource/stats/effectmag.html (Accessed 12/02/2021).

Google Scholar

25. Giavarina D. Understanding bland altman analysis. Biochem Med (Zagreb). (2015) 25(2):141–51. doi: 10.11613/BM.2015.015

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. (2009) 41(1):3–13. doi: 10.1249/MSS.0b013e31818cb278

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hopkins WG. Measures of reliability in sports medicine and science. Sports Med. (2000) 30(1):1–15. doi: 10.2165/00007256-200030010-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Wagner JM, Rhodes JA, Patten C. Reproducibility and minimal detectable change of three-dimensional kinematic analysis of reaching tasks in people with hemiparesis after stroke. Phys Ther. (2008) 88(5):652–63. doi: 10.2522/ptj.20070255

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Schärer C, Lehmann T, Naundorf F, Taube W, Hübner K. The faster, the better? Relationships between run-up speed, the degree of difficulty (D-score), height and length of flight on vault in artistic gymnastics. PLoS One. (2019) 14(3):e0213310. doi: 10.1371/journal.pone.0213310

CrossRef Full Text | Google Scholar

30. Douda H, Laparidis K, Tokmakidis S. Long-Term training induces specific adaptations on the physique of rhythmic sports and female artistic gymnasts. Eur J Sport Sci. (2002) 2(3):1–13. doi: 10.1080/17461390200072304

CrossRef Full Text | Google Scholar

31. Bassett DR. Jr., Howley ET. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc. (2000) 32(1):70–84. doi: 10.1097/00005768-200001000-00012

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mayorga-Vega D, Aguilar-Soto P, Viciana J. Criterion-Related validity of the 20-M shuttle run test for estimating cardiorespiratory fitness: a meta-analysis. J Sports Sci Med. (2015) 14(3):536–47.26336340

PubMed Abstract | Google Scholar

33. Cuenca-Garcia M, Marin-Jimenez N, Perez-Bey A, Sánchez-Oliva D, Camiletti-Moiron D, Alvarez-Gallardo IC, et al. Reliability of field-based fitness tests in adults: a systematic review. Sports Med. (2022) 52(8):1961–79. doi: 10.1007/s40279-021-01635-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: artistic gymnastics, field test, aerobic endurance, validity, reliability, assessment, physical fitness, elite athletes

Citation: Mkaouer B, Amara S, Bouguezzi R, Ben Abderrahmen A and Chaabene H (2023) Validity of a new sport-specific endurance test in artistic gymnastics. Front. Sports Act. Living 5:1159807. doi: 10.3389/fspor.2023.1159807

Received: 6 February 2023; Accepted: 24 March 2023;
Published: 17 April 2023.

Edited by:

Dominika Wilczyńska, Gdansk University of Physical Education and Sport, Poland

Reviewed by:

David Alarcón, Universidad Pablo de Olavide, Spain
Karine Goulart, Federal University of Mato Grosso, Brazil
Samuel Penna Wanner, Federal University of Minas Gerais, Brazil

© 2023 Mkaouer, Amara, Bouguezzi, Ben Abderrahmen and Chaabene. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Helmi Chaabene chaabene@uni-potsdam.de

Specialty Section: This article was submitted to Elite Sports and Performance Enhancement, a section of the journal Frontiers in Sports and Active Living

Download