Damjana V. Cabarkapa
Dimitrije Cabarkapa
Andrew C. Fry- Jayhawk Athletic Performance Laboratory—Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS, United States
As one of the fundamental volleyball skills, countermovement vertical jump (CMJ) has been commonly implemented in the applied sports setting as a non-invasive and time-efficient assessment of athletes' lower-body neuromuscular function. The purpose of the present study was to examine the differences in CMJ characteristics between starters and non-starters within a cohort of professional female volleyball players. Nineteen athletes competing in one of the top European leagues (i.e., SuperLeague) volunteered to participate in the present investigation. Following the completion of a warm-up protocol, each athlete performed three maximal-effort CMJs with no arm swing while standing on a uni-axial force plate system sampling at 1,000 Hz. The following force-time metrics were used for performance analysis purposes: braking phase duration and impulse, eccentric and concentric duration, mean and peak force and power, contraction time, jump height, and reactive strength index-modified. Mann–Whitney U and independent t-tests revealed no statistically significant differences (p > 0.05) during both eccentric and concentric phases of CMJ between the players included in the starting lineup (n = 9) and their substitutions (n = 10), with the effect sizes being small to moderate in magnitude (g = 0.053–0.683). While further research is warranted on this topic, these results suggest that securing a position in a starting lineup at the professional level of volleyball play may be more contingent on the player's ability to proficiently execute sport-specific skills (e.g., blocking, attacking), rather than the performance on the CMJ assessment, considering that the observed values for both groups fall within the desired ranges for this specific population of athletes.
1 Introduction
Volleyball is one of the most popular international team sports. It is characterized by frequent high-intensity and change of direction movements (e.g., blocking, attacking) with short periods of rest (1–7). Based on the on-court competitive demands, it is well-known that volleyball players need to possess adequate levels of speed, agility, aerobic capacity, and upper-body and lower-body muscular strength and power to attain peak performance (3, 8).
As one of the fundamental volleyball-specific skills, the countermovement vertical jump (CMJ) has been commonly implemented in the applied sports setting for non-invasive and time-efficient monitoring of athletes' lower-body neuromuscular function (2, 9, 10). Although various technologies have been used to assess CMJ performance (e.g., accelerometers, force plates, three-dimensional motion capture systems), the force plate system remains a “gold standard” or criterion measure due to its ability to provide the practitioners with not only the outcome metrics (e.g., jump height) but an in-depth analysis of the mechanisms underpinning this specific movement (11, 12).
Previous scientific literature has been primarily focused on examining the physical and physiological attributes of volleyball players, as well as their on-court playing performance (9, 13, 14). Significant differences have been observed between different sexes (male vs. female) (14), playing positions (libero vs. outside hitter) (9, 14), competitive levels (professional vs. collegiate) (13, 15), and players' readiness to compete status (starters vs. non-starters) (16). For example, it has been found that national team volleyball players (i.e., top-tier players in one country) tend to have superior CMJ performance in comparison to both professional and collegiate athletes (15). Similar findings have been observed by Sattler et al. (14), showing that vertical jump height was considerably greater in both male and female volleyball players competing at the First Division in all jump performance assessments (i.e., CMJ, squat jump, block jump, and attack jump) when compared to the Second Division players. The same group of authors has found that male setters tend to display significantly lower CMJ height when compared to the receivers, while no significant position-specific differences were observed in female volleyball athletes (14). Moreover, an investigation done by Fry et al. (16) revealed the presence of considerable differences between athletes included in the starting lineup and their substitutions at the National Collegiate American Association (NCAA) Division-I level of play. Specifically, the authors indicated that starters on the team appeared to be faster, more flexible, and stronger compared to the non-starters (16).
Based on the aforementioned research reports, there is still a lack of scientific research focused on examining the performance characteristics specific to elite female volleyball players, especially considering the availability and usage of the force plate systems for neuromuscular performance assessment in applied sports settings. Therefore, the purpose of the present study was to identify whether differences in CMJ force-time metrics during both eccentric and concentric phases of the movement exist between starters and non-starters at the professional level of volleyball competition.
2 Materials and methods
2.1 Participants
Nineteen female volleyball players (age = 21.6 ± 2.8 years; height = 181.5 ± 7.0 cm; body mass = 74.2 ± 8.3 kg) competing in one of the top European leagues (i.e., SuperLeague) volunteered to participate in this study (n = 3 setters; n = 4 middle blockers; n = 6 outside hitters, n = 4 opposite hitters, n = 2 liberos). The athletes were classified as starters (n = 9) if they were a part of the starting lineup in >75% of games played during a regular season span and the rest were classified as non-starters (n = 10). All athletes were free of musculoskeletal injuries that could possibly impair their volleyball performance and were previously cleared by their respective sports medicine staff to participate in the team activities. The testing procedures were approved by the University's Institutional Review Board and all athletes signed the informed consent document.
2.2 Testing procedures
After completion of a 15-min standardized warm-up routine consisting of dynamic stretching exercises (e.g., lateral lunges, high-knees, A-skips, butt kicks) administered by the team's strength and conditioning coach, all athletes performed three maximal-effort CMJs with no arm swing (i.e., hands on the hips throughout the entire movement), while standing on a uni-axial force plate system (ForceDecks Max, VALD Performance, Brisbane, Australia) sampling at 1,000 Hz. During the testing procedures, all athletes were verbally encouraged to give their maximum effort during each jump and focus on pushing the ground as explosively as possible (17). Also, a 10–15 s rest interval was provided between each jump trial to minimize the possible influence of fatigue (2, 18).
2.3 Dependent variables
Based on the previously published scientific literature (2, 15, 18–21), the following force-time metrics of interest were examined: braking phase duration and impulse (excluding participant's body mass), eccentric and concentric duration, peak velocity, mean and peak force, and mean and peak power. In addition, contraction time, vertical jump height (i.e., impulse-momentum relationship), countermovement depth, and reactive strength index (RSI)-modified (i.e., jump height divided by contraction time) were also measured. A detailed description of the CMJ force-time variables can be found in the previous research reports (2, 15, 18, 19, 21) as well as in the VALD manual (https://valdperformance.com/forcedecks/).
2.4 Statistical analysis
Descriptive statistics, means (standard deviations) or median (interquartile range) were calculated for each dependent variable examined in the present study. Prior to the analysis, the Shapiro-Wilk test and Levene's test were used to examine if the assumption of normality and homogeneity of the data were violated, respectively. If the assumption was violated, the Mann–Whitney U test was selected to examine the differences in CMJ force-time metrics between the starters and non-starters on the professional female volleyball teams. If the assumption was not violated, the independent samples t-test was used for analysis. In addition, Hedge's g (n < 20) was calculated to investigate the magnitude of the differences between the groups. Based on Hedges (22), g = 0.2 was considered a small effect size, g = 0.5 moderate effect size, and g > 0.8 large effect size. Lastly, statistical significance was set a priori to p < 0.05 and all statistical analyses were performed in the SPSS (Version 26.0; IBM Corp., Armonk, NY, USA).
3 Results
No statistically significant differences were observed between starters and non-starters in regard to age (22.6 ± 2.9 years vs. 20.8 ± 2.6 years), height (182.7 ± 4.8 cm vs. 180.5 ± 8.7 cm), and body mass (72.6 ± 4.7 kg vs. 74.5 ± 10.7 kg), respectively. In addition, between-group differences for any of the CMJ force-time metrics examined in the present study were not observed. The effect sizes were small to moderate in magnitude for all performance metrics within both eccentric and concentric phases of the CMJ (g = 0.053–0.683), except for countermovement depth, which was large in magnitude (g = 0.804). See Table 1 for detailed results.
Table 1. Descriptive statistics, mean (standard deviation) or median (interquartile range), statistically significant differences, and Hedge's g effect sizes of CMJ force-time metrics between starters and non-starters.
4 Discussion
To the best of our knowledge, this is the first study focused on examining differences in CMJ force-time metrics between starters and non-starters within an elite cohort of professional female volleyball players. The results revealed that both groups tend to display similar lower-body neuromuscular performance characteristics as measured during CMJ. No significant differences were observed in any CMJ force-time metrics of interest between starters and non-starters, including anthropometric characteristics, with a majority of effect sizes being small to moderate in magnitude.
The findings of the present study are in line with some of the previously published scientific literature focused on examining differences in physiological and anthropometric characteristics between starters and non-starters in various team sports such as basketball and soccer (23–25). For example, Yamaguchi et al. (24) compared the physical attributes of starters and non-starters within a cohort of elite-level professional female soccer players with similar morphological characteristics (e.g., height, age, body mass, muscle mass, body fat percentage). While non-starters displayed inferior performance in the field tests (i.e., 10 m sprint and 5 × 10 m shuttle run) than starters, both groups attained similar results on all other laboratory-based assessments such as CMJ and 40-m sprint tests (24). Similar observations were made by Risso et al. (23) when studying a cohort of NCAA Division-I female soccer players where similar physiological capacities were observed regardless of whether the athlete was a part of the starting lineup or not. Specifically, starters and non-starters demonstrated similar performance in the vertical jump (0.50 m vs. 0.50 m), standing broad jump (1.97 m vs. 1.92 m), and 30 m sprint assessments (4.69 s vs. 4.79 s) (23). Moreover, the results of the present study are in direct agreement with a recently published research report that found no differences in the same CMJ force-time metrics between starters and non-starters on a professional level of men's basketball competition (i.e., impulse, duration, peak velocity, and mean and peak force and power) as well as the outcome (e.g., jump height) and strategy metrics (e.g., countermovement depth) (25). Thus, based on the aforementioned findings, we can conclude that securing a position in a starting lineup cannot be solely determined by differences in lower-body neuromuscular performance characteristics from a CMJ test. While further research is warranted on this topic, we can assume that the player's ability to proficiently execute sport-specific skills (e.g., blocking, attacking), including the coach's evaluation of the player's performance capabilities, may have a greater impact on differentiating starters from non-starters than solely performing CMJ assessment (26).
On the other hand, Fry et al. (16) compared the physical and performance characteristics of starters and non-starters in NCAA Division-I female volleyball players and found that players who started the game were faster (∼0.28 s during the 36.6 m sprint test), stronger (i.e., greater maximal strength for bench press, military press, and hang power clean exercises), and more flexible (∼8.9 cm during sit and reach test) than the non-starters on the team. Moreover, Gabbett et al. (27) indicated that starters seemed to be taller, heavier, and have a better change of direction speed in elite and/or sub-elite junior rugby players when compared to the non-starters. Although the differences between the aforementioned groups might be present in different sports (e.g., rugby vs. volleyball) and levels of competition (i.e., collegiate vs. professional), it should be noted that the majority of the physical and performance variables (e.g., one-repetition maximum, jump height) could be improved with an appropriate and comprehensive strength and conditioning training program (16). In addition, while not reaching the level of statistical significance, it is interesting to note that the countermovement depth was slightly greater in starters than in non-starters (g = 0.804). This observation may imply a possible presence of differences in the CMJ movement strategy or technique used to attain a certain level of jump performance (2). However, this assumption falls beyond the scope of the present study, and further research is warranted to obtain a comprehensive insight into biomechanical differences in CMJ movement patterns.
While providing a better insight into neuromuscular performance characteristics of professional female volleyball players, this study is not without limitations. The sample of the athletes participating in the study could have been larger, including sampling frequency (e.g., 2–3 testing time points across a competitive season). Also, future research needs to examine if the observed findings remain applicable to other competitive levels (e.g., collegiate or youth athletes) as well as if they are sex-specific (e.g., male vs. female).
In conclusion, the findings of the present study indicate that CMJ assessment might not be a useful tool when determining contributing factors to success at the professional level of women's volleyball competitions. Both starters and non-starters demonstrated similar performance on all force-time metrics of interest during both eccentric and concentric phases of the CMJ movement, with small to moderate effect size differences. Overall, these findings imply that other parameters such as the player's ability to proficiently execute sport-specific skills (e.g., blocking, attacking) may have a greater impact on differentiating players included in the starting lineup from their substitutions at the professional level of play.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by University of Kansas Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
DVC: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. DC: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. ACF: Conceptualization, Supervision, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
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
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References
1. Cabarkapa D, Fry AC, Cabarkapa DV, Rogers A, Mosier E. Ground reaction forces of commonly used volleyball blocking approaches. J Kinesiol Exerc Sci. (2020) 30:13–20. doi: 10.5604/01.3001.0014.5851
2. Cabarkapa DV, Cabarkapa D, Whiting SM, Fry AC. Fatigue-induced neuromuscular performance changes in professional male volleyball players. Sports. (2023) 11:120. doi: 10.3390/sports11060120
3. Gabbett T, Georgieff B, Anderson S, Cotton B, Savovic D, Nicholson L. Changes in skill and physical fitness following training in talent-identified volleyball players. J Strength Cond Res. (2006) 20:29–35. doi: 10.1519/R-16814.1
4. González-Ravé JM, Arija A, Clemente-Suarez V. Seasonal changes in jump performance and body composition in women volleyball players. J Strength Cond Res. (2011) 25:1492–501. doi: 10.1519/JSC.0b013e3181da77f6
5. González-Silva J, Domínguez AM, Fernández-Echeverría C, Rabaz FC, Arroyo MPM. Analysis of setting efficacy in young male and female volleyball players. J Hum Kinet. (2016) 53:189–200. doi: 10.1515/hukin-2016-0022
6. Palao JM, Santos JA, Ureña A. Effect of team level on skill performance in volleyball. Int J Perform Anal Sport. (2004) 4:50–60. doi: 10.1080/24748668.2004.11868304
7. VanHeest JL. Energy demands in the sport of volleyball. Handbook of Sports Medicine and Science: Volleyball. (2003). p. 11–7.
8. Sheppard JM, Gabbett TJ, Stanganelli LCR. An analysis of playing positions in elite men’s volleyball: considerations for competition demands and physiologic characteristics. J Strength Cond Res. (2009) 23:1858–66. doi: 10.1519/JSC.0b013e3181b45c6a
9. Lidor R, Ziv G. Physical and physiological attributes of female volleyball players-A review. J Strength Cond Res. (2010) 24:1963–73. doi: 10.1519/JSC.0b013e3181ddf835
10. Ruffieux J, Walchli M, Kim KM, Taube W. Countermovement jump training is more effective than drop jump training in enhancing jump height in non-professional female volleyball players. Front Physiol. (2020) 11:231. doi: 10.3389/fphys.2020.00231
11. Merrigan JJ, Stone JD, Thompson AG, Hornsby WG, Hagen JA. Monitoring neuromuscular performance in military personnel. Int J Environ Res Public Health. (2020) 17:9147. doi: 10.3390/ijerph17239147
12. Pérez-Castilla A, Rojas FJ, Gómez-Martínez F, García-Ramos A. Vertical jump performance is affected by the velocity and depth of the countermovement. Sports Biomech. (2021) 20:1015–30. doi: 10.1080/14763141.2019.1641545
13. Palao JM, Ahrabi-Fard I. Effect of jump set usage on side-out phase in women’s college volleyball. J Sport Hum Perform. (2014) 2:1–10. doi: 10.12922/jshp.v2i3.48
14. Sattler T, Hadzic V, Dervisevic E, Markovic G. Vertical jump performance of professional male and female volleyball players: effects of playing position and competition level. J Strength Cond Res. (2015) 29:1486–93. doi: 10.1519/JSC.0000000000000781
15. Cabarkapa DV, Cabarkapa D, Bankovic V, Long H, Philipp NM, Fry AC. Changes in countermovement vertical jump force-time metrics across different competitive levels in women’s volleyball. Int J Strength Cond. (2024) 4:in press.
16. Fry AC, Kraemer WJ, Weseman CA, Conroy BP, Gordon SE, Hoffman JR, et al. The effects of an off-season strength and conditioning program on starters and non-starters in women’s intercollegiate volleyball. J Strength Cond Res. (1991) 5:174–81. doi: 10.1519/1533-4287(1991)005%3C0174:TEOAOS%3E2.3.CO;2
17. Kershner AL, Fry AC, Cabarkapa D. Effect of internal vs. external focus of attention instructions on countermovement jump variables in NCAA division I student-athletes. J Strength Cond Res. (2019) 33:1467–73. doi: 10.1519/JSC.0000000000003129
18. Philipp NM, Cabarkapa D, Eserhaut DA, Cabarkapa DV, Fry AC. Countermovement jump force-time metrics and maximal horizontal deceleration performance in professional male basketball players. J Appl Sports Sci. (2022) 2:11–27. doi: 10.37393/JASS.2022.02.2
19. Cabarkapa D, Philipp NM, Cabarkapa DV, Fry AC. Position-specific differences in countermovement vertical jump force-time metrics in professional male basketball players. Front Sports Act Living. (2023) 5:1218234. doi: 10.3389/fspor.2023.1218234
20. Merrigan JJ, Stone JD, Hornsby WG, Hagen JA. Identifying reliable and relatable force -time metrics in athletes—considerations for the isometric mid-thigh pull and countermovement jump. Sports. (2021) 9:4. doi: 10.3390/sports9010004
21. Philipp NM, Cabarkapa D, Nijem RM, Fry AC. Changes in countermovement jump force-time characteristic in elite male basketball players: a season-long analyses. PLoS One. (2023) 18:e0286581. doi: 10.1371/journal.pone.0286581
22. Hedges LV. Estimation of effect size from a series of independent experiments. Psychol Bull. (1982) 92:490. doi: 10.1037/0033-2909.92.2.490
23. Risso FG, Jalilvand F, Orjalo AJ, Moreno MR, Davis DL, Birmingham-Babauta SA, et al. Physiological characteristics of projected starters and non-starters in the field positions from a division I women’s soccer team. Int J Exerc Sci. (2017) 10:568. PMID: 28674601
24. Yamaguchi S, Inami T, Yamashita D, Nakamura M, Kohtake N. Physical characteristics and performance of starters and non-starters in elite-level female soccer players in college: a case study of Japanese athletes. Football Sci. (2022) 19:49–58. doi: 10.57547/jssfenfs.19.1_49
25. Cabarkapa D, Cabarkapa DV, Aleksic J, Philipp NM, Scott AA, Johnson QR, et al. Starters vs. non-starters differences in vertical jump force-time metrics in professional male basketball players. Front Sports Act Living. (2023) 5:1327379. doi: 10.3389/fspor.2023.1327379
26. Hoffman JR, Tenenbaum G, Maresh CM, Kraemer WJ. Relationship between athletic performance tests and playing time in elite college basketball players. J Strength Cond Res. (1996) 10:67–71. doi: 10.1519/1533-4287(1996)010%3C0067:RBAPTA%3E2.3.CO;2
Keywords: sport, force, power, performance, athlete monitoring, team sports
Citation: Cabarkapa DV, Cabarkapa D and Fry AC (2024) Starters vs. non-starters differences in vertical jump force-time metrics in female professional volleyball players. Front. Sports Act. Living 6:1389001. doi: 10.3389/fspor.2024.1389001
Received: 20 February 2024; Accepted: 15 March 2024;
Published: 25 March 2024.
Edited by:
Carlos David Gómez-Carmona, University of Extremadura, SpainReviewed by:
Bessem Mkaouer, University of Manouba, TunisiaAsterios Patsiaouras, University of Thessaly, Greece
© 2024 Cabarkapa, Cabarkapa and Fry. 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: Damjana V. Cabarkapa ZGNhYmFya2FwYTk4QGdtYWlsLmNvbQ==