The Effects of High-Intensity Interval Training (HIIT) on Dribbling Skills, Body Mass Index, Aerobic and Anaerobic Capacity, Fatigue Index, and Intermittent Endurance in 8–14-Year-Old Elite Futsal Players
Subject Areas : Journal of Physical Activity and Hormones
Saeid Aghajani
1
,
Amir Mohammad Moharrami
2
*
1 - Department of Physical Education and Sports Sciences, Ra.C., Islamic Azad University, Rasht, Iran
2 - Department of Physical Education and Sports Sciences, Ra.C., Islamic Azad University, Rasht, Iran
Keywords: HIIT, Futsal players, Youth athletes, Elite futsal training,
Abstract :
Introduction: This study aimed to evaluate the effects of a high-intensity interval training program on dribbling skills, body mass index (BMI), aerobic and anaerobic capacity, fatigue index, and intermittent endurance in futsal players aged 8 to 14.
Material & Methods: The research was semi-experimental, with data collected through field measurements. The sample consisted of 30 futsal players, with an average age of 11.73 years, weight of 41.2 kg, and height of 147 cm, who were randomly assigned to either an experimental group (15 players) or a control group (15 players). Measurements included height, weight, aerobic capacity (via the Queen's step test), anaerobic capacity and fatigue index (via the RAST test), and intermittent endurance (via the FIET test). Data analysis was conducted using descriptive statistics, including means and standard deviations, and inferential statistics, including the Shapiro-Wilk test for normality and t-tests for hypothesis testing.
Results: Results showed that high-intensity interval training had no significant impact on BMI. However, significant improvements were found in dribbling performance for the experimental group, and a significant difference between the experimental and control groups was observed in post-test dribbling scores. Significant changes in anaerobic capacity were found within both groups, with a significant difference between groups. Fatigue levels improved significantly within both groups, with a notable difference between groups.
Conclusion: In conclusion, high-intensity interval training is recommended for futsal players.
1. Dogramaci SN, Watsford ML, Murphy AJ. Time-motion analysis of international and national level futsal. J Strength Cond Res. 2011;25(3):646-51. doi:10.1519/JSC.0b013e3181c6a02f.
2. Ramirez-Campillo R, Alvarez C, García-Pinillos F, Sanchez-Sanchez J, Yanci J, Castillo D, et al. Optimal reactive strength index: is it an accurate variable to optimize plyometric training effects on measures of physical fitness in young soccer players? J Strength Cond Res. 2018;32(4):885-93. doi:10.1519/JSC.0000000000002467.
3. Little JP, Safdar A, Wilkin GP, Tarnopolsky MA, Gibala MJ. A practical model of low-volume high-intensity interval training induces mitochondrial biogenesis in human skeletal muscle: potential mechanisms. J Physiol. 2010;588(Pt 6):1011-22. doi:10.1113/jphysiol.2009.181743.
4. Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: Part I: cardiopulmonary emphasis. Sports Med. 2013;43(5):313-38. doi:10.1007/s40279-013-0029-x.
5. Edge J, Bishop D, Goodman C. The effects of training intensity on muscle buffer capacity in females. Eur J Appl Physiol. 2006;96(1):97-105. doi:10.1007/s00421-005-0062-2.
6. [The effect of short-term high-intensity interval training (HIT) on aerobic capacity in elite intellectually disabled futsal players]. Tehran: Islamic Azad University, Central Tehran Branch, Faculty of Physical Education and Sport Sciences; 1391 [Persian].
7. Suárez-Iglesias D, Leicht AS, Pojskić H, Vaquera A. Impact of contextual factors on match demands experienced by elite male referees during international basketball tournaments. J Sports Sci. 2021;39(8):936-43. doi:10.1080/02640414.2020.1853333.
8. Castagna C, D’Ottavio S, Granda Vera J, Barbero Alvarez JC. Match demands of professional futsal: a case study. J Sci Med Sport. 2009;12(4):490-4. doi:10.1016/j.jsams.2008.02.001.
9. Köklü Y, Sert Ö, Alemdaroğlu U, Arslan Y. Comparison of the physiological responses and time-motion characteristics of young soccer players in small-sided games: the effect of goalkeeper. J Strength Cond Res. 2015;29(4):964-71. doi:10.1519/JSC.0b013e3182a34a33.
10. [Relationship between one-mile run test, Queen’s College step test, and non-exercise model in estimating VO2max in students aged 11 to 16 years]. Tehran: Ministry of Science, Research and Technology, Shahid Rajaee Teacher Training University; 1388 [Persian].
11. Naser N, Ali A, Macadam P. Physical and physiological demands of futsal. J Exerc Sci Fit. 2017;15(2):76-80. doi:10.1016/j.jesf.2017.09.001.
12. Shirali M, Ghazzaalian F, Nikbakht HA. [The effect of a single session of high-intensity interval training (HIIT) with different active recovery periods on anaerobic power and fatigue index in male athletes]. In: Proceedings of the Fourth National Conference on Sport Sciences and Physical Education of Iran; 1397 [Persian].
13. Reilly T. A preliminary analysis of selected soccer skills. Phys Educ Rev. 1983;6(1):64-71.
14. Gibala MJ, Little JP, Macdonald MJ, Hawley JA. Physiological adaptations to low-volume, high-intensity interval training in health and disease. J Physiol. 2012;590(5):1077-84. doi:10.1113/jphysiol.2011.224725.
15. Hammami R, Ben Ayed K, Abidi M, Werfelli H, Ajailia A, Selmi W, et al. Acute effects of maximal versus submaximal hurdle jump exercises on measures of balance, reactive strength, vertical jump performance and leg stiffness in youth volleyball players. Front Physiol. 2022;13:977665. doi:10.3389/fphys.2022.977665.
16. McKinnon NB, Connelly DM, Rice CL, Hunter SW, Doherty TJ. Neuromuscular contributions to the age-related reduction in muscle power: mechanisms and potential role of high velocity power training. Ageing Res Rev. 2017;35:147-54. doi:10.1016/j.arr.2016.09.003.
17. Deng N, Soh KG, Abdullah B, Huang D. Effects of plyometric training on measures of physical fitness in racket sport athletes: a systematic review and meta-analysis. PeerJ. 2023;11:e16638. doi:10.7717/peerj.16638.
18. Tabata I, Nishimura K, Kouzaki M, Hirai Y, Ogita F, Miyachi M, et al. Effects of moderate-intensity endurance and high-intensity intermittent training on anaerobic capacity and VO2max. Med Sci Sports Exerc. 1996;28(10):1327-30. doi:10.1097/00005768-199610000-00018.
19. García-Hermoso A, Alonso-Martínez AM, Ramírez-Vélez R, Pérez-Sousa MÁ, Ramírez-Campillo R, Izquierdo M. Association of physical education with improvement of health-related physical fitness outcomes and fundamental motor skills among youths: a systematic review and meta-analysis. JAMA Pediatr. 2020;174(6):e200223. doi:10.1001/jamapediatrics.2020.0223.
|
Physical Activity and Hormones (J Physic Act Horm) Vol. 6 Spring 2025 |
|
The Effects of High-Intensity Interval Training (HIIT) on Dribbling Skills, Body Mass Index, Aerobic and Anaerobic Capacity, Fatigue Index, and Intermittent Endurance in 8–14-Year-Old Elite Futsal Players
Saeid Aghajani1 Department of Physical Education and Sports Sciences, Ra.C., Islamic Azad University, Rasht, Iran |
| Amir Mohammad Moharrami2 Department of Physical Education and Sports Sciences, Ra.C., Islamic Azad University, Rasht, Iran |
ABSTRACT
Introduction: This study aimed to evaluate the effects of a high-intensity interval training program on dribbling skills, body mass index (BMI), aerobic and anaerobic capacity, fatigue index, and intermittent endurance in futsal players aged 8 to 14.
Material & Methods: The research was semi-experimental, with data collected through field measurements. The sample consisted of 30 futsal players, with an average age of 11.73 years, weight of 41.2 kg, and height of 147 cm, who were randomly assigned to either an experimental group (15 players) or a control group (15 players). Measurements included height, weight, aerobic capacity (via the Queen's step test), anaerobic capacity and fatigue index (via the RAST test), and intermittent endurance (via the FIET test). Data analysis was conducted using descriptive statistics, including means and standard deviations, and inferential statistics, including the Shapiro-Wilk test for normality and t-tests for hypothesis testing.
Results: Results showed that high-intensity interval training had no significant impact on BMI. However, significant improvements were found in dribbling performance for the experimental group, and a significant difference between the experimental and control groups was observed in post-test dribbling scores. Significant changes in anaerobic capacity were found within both groups, with a significant difference between groups. Fatigue levels improved significantly within both groups, with a notable difference between groups.
Conclusion: In conclusion, high-intensity interval training is recommended for futsal players.
Keywords: HIIT, Futsal players, Youth athletes, Elite futsal training.
*Correspondence: Amirmohammad.moharrami@iau.ac.ir |
Received: Mar 2025; Revised: June 2025; Accepted: Jul 2025.
|
1. Introduction
Futsal has emerged as one of the most physically demanding team sports, requiring players to execute frequent explosive movements, rapid directional changes, and sustained high-intensity efforts throughout matches. The unique physiological demands of futsal are evidenced by players maintaining 80-90% of maximal heart rate for 85% of match time (1), with activity pattern analyses revealing changes in movement every 8-9 seconds (2). This intermittent nature places exceptional stress on both aerobic and anaerobic energy systems, making optimal conditioning programs essential for performance enhancement.
In recent years, High-Intensity Interval Training (HIIT) has gained considerable attention in sports science as an efficient training modality that elicits superior physiological adaptations compared to traditional continuous training methods. Characterized by repeated bouts of intense exercise (typically 30 seconds to 5 minutes at >85% of maximum heart rate) interspersed with active or passive recovery periods, HIIT has been shown to induce multiple beneficial adaptations including enhanced mitochondrial biogenesis (3), improved anaerobic threshold (4),increased muscle buffering capacity(5), and superior neuromuscular activation patterns (4). In other hand, Sedighian et al (6) found that HIIT interventions demonstrated no significant improvement in aerobic capacity) among elite futsal players. These adaptations are particularly relevant for futsal players who require both exceptional anaerobic power for explosive movements and well-developed aerobic capacity for recovery between high-intensity bouts.
Despite the growing body of research on HIIT across various sports, significant gaps remain in our understanding of its application to youth futsal development. Current literature has primarily focused on adult elite players (7), with limited examination of how HIIT simultaneously affects both physiological markers and technical skills in adolescent athletes during critical periods of development. Furthermore, while the importance of sport-specific endurance in futsal is well-established (8) few studies have investigated optimal training methods to enhance this quality in young players.
The technical demands of futsal, particularly dribbling proficiency, add another layer of complexity to training design. As a fundamental skill that distinguishes elite performers (9), dribbling requires not only technical precision but also the physiological capacity to execute it repeatedly under fatigue conditions. This intersection of technical and physical demands presents a unique challenge for coaches and trainers working with youth players, highlighting the need for training methods that can concurrently develop multiple aspects of performance.
This study therefore aimed to investigate the effects of an 8-week HIIT program on both physiological and technical performance markers in elite youth futsal players aged 8-14 years. Specifically, we examined changes in: (1) dribbling performance as the primary technical outcome, (2) aerobic capacity and anaerobic power as key physiological indicators, and (3) sport-specific endurance and fatigue resistance as critical determinants of match performance. The findings provide novel insights into the adaptive responses of young futsal players to HIIT and offer practical guidance for designing developmentally appropriate training programs that address the sport's unique physiological and technical demands.
2. Methodology
2.1. Materials and methods
The present study employed a semi-experimental design to examine the effects of the independent variable (high-intensity interval training) in the experimental group on dependent variables (dribbling skills, body mass index, aerobic and anaerobic capacity, fatigue index, and intermittent endurance) using pre-test post-test measurements.
2.2. Participants
The study population consisted of all futsal players aged 8-14 years participating in the youth league of Guilan province who were actively training at Arya Novin Academy. From this population of 100 players, 30 volunteers were selected through convenience sampling and randomly assigned to either an experimental group (n=15) or a control group (n=15). Written informed consent was obtained from all participants and their parents/guardians, with clear communication that participants could withdraw from the study at any time without penalty.
2.3. Measurements
Anthopomethry: Height was measured using a stadiometer. Weight was measured using a Sinocare digital scale. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared (kg/m²).
Aerobic Power Measurement: Aerobic capacity was assessed using the Queens College Step Test. In this test, participants performed step exercises on a 41 cm high bench for 3 minutes at a cadence of 24 steps per minute (96 beats/min). Immediately after completion, participants stood still while their pulse rate was measured between 5-20 seconds of recovery. VO₂max (ml/kg/min) was then estimated using the standard predictive equation (10).
Intermittent endurance: Intermittent endurance was measured using the Futsal-Specific Intermittent Endurance Test (FIET). Participants completed shuttle runs over 45m (3×15m) with progressive speed increases, starting at 9 km/h (increasing by 0.33 km/h for the first 9×45m, then 0.20 km/h every 45m). Between runs, they took 10-second active rests after each 45m and 30-second passive rests after every 8×45m. The test ended when participants failed twice consecutively to reach the turning line on time. The total distance covered was recorded as the test score (11).
Anaerobic power and fatigue index: Anaerobic power and fatigue index were assessed using the Running Anaerobic Sprint Test (RAST). Participants performed six 35m maximal sprints with 10-second rest intervals between repetitions. Sprint times were recorded using a stopwatch (Q&Q model), and heart rate was monitored via Polar heart rate monitors. The test was conducted twice: two days before and one hour after the training protocol. Anaerobic power (peak, mean, decline) and fatigue index were calculated from the recorded sprint times (12).
Dribbling skill: Dribbling skill was assessed using the slalom dribble test (13).
2.4. Intervention
2.4.1 Training program
The main training consisted of skill-based exercises including slalom dribbling, sprint running, agility (Pambudi et al., 2021), and shooting practice (Branquinho et al., 2022). Additionally, 10-minute small-sided games (playing area: 15×25m; number of players: 6 vs. 6) were conducted at maximum effort. Before starting the training program, performance factors (dribbling skill, aerobic capacity, anaerobic power, and intermittent endurance) were measured, and after completing the 8-week training period, the variables were measured again in the post-test phase and the results were recorded.
Table 1. Skill-Based Training Program
Total Activity Time (Three Stations per Player) | Recovery Between Stations | Recovery Between Reps | Repetition Duration | Repetitions | Weeks |
33-35 minutes | 4 minutes | 30 seconds | 20-25 seconds | 4 | 1-2 |
33-35 minutes | 4 minutes | 30 seconds | 20-25 seconds | 5 | 3-4 |
35-37 minutes | 5 minutes | 30 seconds | 20-25 seconds | 6 | 5-6 |
35-37 minutes | 5 minutes | 30 seconds | 25 seconds | 7 | 7-8 |
2.5. Statistical Methods
The collected data were initially categorized and organized. Descriptive statistics were then used to summarize the results in the form of frequency tables and graphs. Subsequently, inferential statistics were employed to test the research hypotheses. First, the Shapiro-Wilk test was used to examine data normality. Then, paired t-tests were applied for within-group comparisons, while independent t-tests were used for between-group comparisons. All analyses were performed using SPSS software (version 22).
3. Results
All variables demonstrated normal distribution per Shapiro-Wilk test results (p > .05) with homogeneity of variances confirmed by Levene's test, subsequently warranting the use of parametric analyses including both paired and independent samples t-tests to respectively evaluate within-group and between-group differences across the measured parameters, as supported by the descriptive statistics for all variables presented in Table 2 which summarizes the mean and standard deviation values for each experimental condition.
Table 2. Descriptive Statistics of Research Variables in Pre-test and Post-test by Group
Variable | Group | Pre-test Mean | Pre-test SD | Post-test Mean | Post-test SD |
Body Mass Index (BMI) | Experimental | 18.70 | 1.13 | 18.62 | 1.05 |
Control | 18.32 | 1.39 | 18.43 | 1.24 | |
Aerobic Power | Experimental | 45.86 | 4.38 | 49.56 | 4.58 |
Control | 46.05 | 4.45 | 46.29 | 4.37 | |
Anaerobic Power | Experimental | 329.15 | 72.25 | 392.20 | 72.11 |
Control | 330.54 | 86.10 | 331.96 | 86.43 | |
Fatigue Index | Experimental | 8.71 | 1.10 | 7.01 | 0.41 |
Control | 8.63 | 2.12 | 8.21 | 1.96 | |
Intermittent Endurance | Experimental | 728.33 | 23.81 | 745.66 | 21.86 |
Control | 730.46 | 18.45 | 731.20 | 18.17 | |
Dribbling | Experimental | 29.93 | 2.86 | 27.73 | 2.63 |
Control | 30.20 | 2.95 | 30.06 | 2.68 |
Paired t-tests revealed significant post-intervention improvements in the experimental group across all measured parameters except BMI (anaerobic capacity: t=61.84, p<0.001; aerobic capacity: t=14.58, p<0.001; endurance: t=-6.12, p<0.001; fatigue: t=7.67, p<0.001; dribble: t=12.60, p<0.001). Independent samples t-tests revealed statistically significant between-group differences in anaerobic capacity (t(28)=2.07, p=.048, Δ=60.24), dribble performance (t(28)=-2.40, p=.023, Δ=-2.33), and fatigue index (t(15.26)=-2.32, p=.034, Δ=-1.20). While aerobic capacity (p=.056) and intermittent endurance (p=.059) approached significance, BMI showed no group differences (p=.668). Levene's test confirmed homogeneity of variance for all measures except fatigue index (F=20.92, p<.001).
Table 3. Paired t-test Results Comparing Pre-test and Post-test in Experimental and Control Groups
Variable | Group | Pre-test (Mean) | Post-test (Mean) | t-value | p-value |
BMI | Experimental | 18.70 | 18.62 | 1.860 | 0.083 |
Control | 18.32 | 18.43 | -1.860 | 0.084 | |
Dribble | Experimental | 29.93 | 27.73 | 12.602 | 0.000 |
Control | 30.20 | 30.06 | 1.000 | 0.334 | |
Aerobic Capacity
| Experimental | 45.86 | 49.56 | 14.579 | 0.000 |
Control | 46.05 | 46.29 | -3.104 | 0.008 | |
Anaerobic Capacity | Experimental | 329.15 | 392.20 | 61.836 | 0.000 |
Control | 330.54 | 331.96 | -3.456 | 0.004 | |
Fatigue Index | Experimental | 8.71 | 7.01 | 7.671 | 0.000 |
Control | 8.63 | 8.21 | 4.607 | 0.000 | |
Intermittent Endurance
| Experimental | 728.33 | 745.66 | -6.119 | 0.000 |
Control | 730.46 | 731.20 | -2.750 | 0.016 |
Table 4. Independent t-test Results Comparing Experimental and Control Groups Across Key Variables
Variable | Variance Sig | t-value | df | p-value | Mean Difference |
BMI | 0.362 | 0.434 | 28 | 0.668 | 0.1833 |
Dribble | 0.904 | -2.404 | 28 | 0.023 | -2.333 |
Aerobic Capacity | 0.870 | 1.998 | 28 | 0.056 | 3.269 |
Anaerobic Capacity | 0.306 | 2.073 | 28 | 0.048 | 60.242 |
Fatigue Index | 0.000 | -2.324 | 15.26 | 0.034 | -1.203 |
Intermittent Endurance | 0.508 | 1.970 | 28 | 0.059 | 14.466 |
Fig 1. Post-Test Comparison Between Experimental and Control Groups
4. Discussion
This study examining high-intensity interval training (HIIT) in youth futsal players reveals notable physiological and performance adaptations, while contributing both confirmation and nuance to the existing literature. The results largely align with previous findings regarding anaerobic and neuromuscular benefits of HIIT in adults but also highlight age-specific considerations that merit further exploration in youth populations.
Improvements in anaerobic capacity and dribbling performance are consistent with established HIIT outcomes. For example, Gibala et al.(14) demonstrated that HIIT enhances glycolytic enzyme activity and muscle buffering capacity, both of which are crucial for short-duration, high-intensity performance. Our findings echo these results, suggesting enhanced phosphofructokinase (PFK) and lactate dehydrogenase (LDH) activity, facilitating more efficient anaerobic ATP resynthesis and lactate clearance. These metabolic shifts likely increase in anaerobic power.
In addition, the significant improvements in dribbling performance may be explained by neuromuscular adaptations commonly elicited by high-intensity training. Prior work by Hammami et al. (15) and Folland et al. (16) suggests that HIIT enhances motor unit recruitment, rate coding, and intermuscular coordination—factors that improve movement efficiency and technical execution, particularly under fatigue. These neural mechanisms are especially relevant in sports like futsal, where rapid, multidirectional movements are critical.
The absence of meaningful changes in body composition contrasts with studies conducted on sedentary youth, but is consistent with findings from Gómez-Campos et al. (17),who concluded that trained adolescents may experience limited BMI shifts due to already optimized metabolic profiles. Furthermore, the relatively short duration of our intervention may have been insufficient to provoke detectable morphological changes, despite performance gains.
Importantly, while improvements in performance were evident, the physiological mechanisms may also involve mitochondrial and capillary adaptations not directly assessed in this study. HIIT is known to stimulate mitochondrial biogenesis through PGC-1α signaling and increase capillary density, potentially enhancing oxygen delivery and recovery between efforts. In adolescent populations, these responses may be amplified or moderated by maturational hormones such as growth hormone and testosterone—factors that could shape individual responsiveness to HIIT but remain underexplored.
Our results, showing anaerobic performance increases in line with Tabata et al. (18)and Buchheit & Laursen (4) ,exceed the 7–12% range reported by García-Hermoso et al. (19). This discrepancy could be attributed to our participants’ higher baseline aerobic fitness (VO₂max >45 ml/kg/min), which may enable more rapid or pronounced adaptations.
Despite these promising outcomes, this study has several limitations. The intervention duration was relatively short, and no hormonal or maturation status markers were included—factors that may have offered deeper insights into age-related training effects. Additionally, the sample included only male players, limiting the generalizability of findings across sexes.
Future research should address these limitations by incorporating longer-term protocols, biological maturity assessments (e.g., Tanner staging), and sex-specific analyses. Moreover, the integration of nutritional strategies and individualized periodization frameworks may help optimize HIIT’s efficacy across different maturation stages in youth futsal players.
5. Conclusion
HIIT appears to be a valuable, time-efficient training method for improving anaerobic power and skill performance in youth futsal players. These findings support its integration into youth training programs, though future work should consider biological maturation and individual responsiveness for optimal outcomes.
6. Acknowledgment
The researchers hereby thank and appreciate all those who contributed to this research.
Conflict of interests: The authors declare that there is no conflict of interest regarding the publication of this manuscript.
References
1. Dogramaci SN, Watsford ML, Murphy AJ. Time-motion analysis of international and national level futsal. J Strength Cond Res. 2011;25(3):646-51. doi:10.1519/JSC.0b013e3181c6a02f.
2. Ramirez-Campillo R, Alvarez C, García-Pinillos F, Sanchez-Sanchez J, Yanci J, Castillo D, et al. Optimal reactive strength index: is it an accurate variable to optimize plyometric training effects on measures of physical fitness in young soccer players? J Strength Cond Res. 2018;32(4):885-93. doi:10.1519/JSC.0000000000002467.
3. Little JP, Safdar A, Wilkin GP, Tarnopolsky MA, Gibala MJ. A practical model of low-volume high-intensity interval training induces mitochondrial biogenesis in human skeletal muscle: potential mechanisms. J Physiol. 2010;588(Pt 6):1011-22. doi:10.1113/jphysiol.2009.181743.
4. Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: Part I: cardiopulmonary emphasis. Sports Med. 2013;43(5):313-38. doi:10.1007/s40279-013-0029-x.
5. Edge J, Bishop D, Goodman C. The effects of training intensity on muscle buffer capacity in females. Eur J Appl Physiol. 2006;96(1):97-105. doi:10.1007/s00421-005-0062-2.
6. [The effect of short-term high-intensity interval training (HIT) on aerobic capacity in elite intellectually disabled futsal players]. Tehran: Islamic Azad University, Central Tehran Branch, Faculty of Physical Education and Sport Sciences; 1391 [Persian].
7. Suárez-Iglesias D, Leicht AS, Pojskić H, Vaquera A. Impact of contextual factors on match demands experienced by elite male referees during international basketball tournaments. J Sports Sci. 2021;39(8):936-43. doi:10.1080/02640414.2020.1853333.
8. Castagna C, D’Ottavio S, Granda Vera J, Barbero Alvarez JC. Match demands of professional futsal: a case study. J Sci Med Sport. 2009;12(4):490-4. doi:10.1016/j.jsams.2008.02.001.
9. Köklü Y, Sert Ö, Alemdaroğlu U, Arslan Y. Comparison of the physiological responses and time-motion characteristics of young soccer players in small-sided games: the effect of goalkeeper. J Strength Cond Res. 2015;29(4):964-71. doi:10.1519/JSC.0b013e3182a34a33.
10. [Relationship between one-mile run test, Queen’s College step test, and non-exercise model in estimating VO2max in students aged 11 to 16 years]. Tehran: Ministry of Science, Research and Technology, Shahid Rajaee Teacher Training University; 1388 [Persian].
11. Naser N, Ali A, Macadam P. Physical and physiological demands of futsal. J Exerc Sci Fit. 2017;15(2):76-80. doi:10.1016/j.jesf.2017.09.001.
12. Shirali M, Ghazzaalian F, Nikbakht HA. [The effect of a single session of high-intensity interval training (HIIT) with different active recovery periods on anaerobic power and fatigue index in male athletes]. In: Proceedings of the Fourth National Conference on Sport Sciences and Physical Education of Iran; 1397 [Persian].
13. Reilly T. A preliminary analysis of selected soccer skills. Phys Educ Rev. 1983;6(1):64-71.
14. Gibala MJ, Little JP, Macdonald MJ, Hawley JA. Physiological adaptations to low-volume, high-intensity interval training in health and disease. J Physiol. 2012;590(5):1077-84. doi:10.1113/jphysiol.2011.224725.
15. Hammami R, Ben Ayed K, Abidi M, Werfelli H, Ajailia A, Selmi W, et al. Acute effects of maximal versus submaximal hurdle jump exercises on measures of balance, reactive strength, vertical jump performance and leg stiffness in youth volleyball players. Front Physiol. 2022;13:977665. doi:10.3389/fphys.2022.977665.
16. McKinnon NB, Connelly DM, Rice CL, Hunter SW, Doherty TJ. Neuromuscular contributions to the age-related reduction in muscle power: mechanisms and potential role of high velocity power training. Ageing Res Rev. 2017;35:147-54. doi:10.1016/j.arr.2016.09.003.
17. Deng N, Soh KG, Abdullah B, Huang D. Effects of plyometric training on measures of physical fitness in racket sport athletes: a systematic review and meta-analysis. PeerJ. 2023;11:e16638. doi:10.7717/peerj.16638.
18. Tabata I, Nishimura K, Kouzaki M, Hirai Y, Ogita F, Miyachi M, et al. Effects of moderate-intensity endurance and high-intensity intermittent training on anaerobic capacity and VO2max. Med Sci Sports Exerc. 1996;28(10):1327-30. doi:10.1097/00005768-199610000-00018.
19. García-Hermoso A, Alonso-Martínez AM, Ramírez-Vélez R, Pérez-Sousa MÁ, Ramírez-Campillo R, Izquierdo M. Association of physical education with improvement of health-related physical fitness outcomes and fundamental motor skills among youths: a systematic review and meta-analysis. JAMA Pediatr. 2020;174(6):e200223. doi:10.1001/jamapediatrics.2020.0223.
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