Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Views
1534
Download
242
 
©Journal of Sports Science and Medicine (2024) 23, 707 - 717   DOI: https://doi.org/10.52082/jssm.2024.707

Research article
Effects of Short Sprint Interval Training Frequency on Physical and Physiological Performance Adaptations in Male Soccer Players
Qingwen Liu, Wanglong Wang, Chuan Shu   
Author Information
College of Physical Education and Health, Jiangxi Science and Technology Normal University, Nanchang, China

Chuan Shu
✉ College of Physical Education and Health, Jiangxi Science and Technology Normal University, Nanchang, 330038, China
Email: shuchuan1983@163.com
Publish Date
Received: 23-06-2024
Accepted: 10-08-2024
Published (online): 01-12-2024
 
ABSTRACT

The study aimed to evaluate the effects of varying frequencies (1 vs. 2 vs. 3) of short sprint interval training (sSIT) on young male soccer players' physical performance and physiological parameters. Forty young male soccer players were randomly assigned to four experimental groups engaging in 36 trials sSIT for a duration of 6 weeks as follows: once weekly (1sSIT = 4 sets of 9 × 5 sec all-out runs), twice weekly (2sSIT = 2 sets of 9 × 5 sec all-out runs), and three times weekly (3sSIT = 2 sets of 6 × 5 sec all-out runs), or an active control group which continued their soccer practice routines. Before and after the 6-week training period, physical performance (countermovement vertical jump, 20-m sprint, Illinois change of direction, Yo-Yo intermittent recovery level 1 [Yo-Yo IR 1] and kicking distance) and physiological parameters (cardiorespiratory fitness, peak and average power output) were evaluated. All sSIT groups demonstrated significant (p < 0.01) and small to very large training effects (i.e., effect size) on measured parameters. More importantly, a comparison of inter-individual variability in the adaptive changes revealed that the 3sSIT group results in lower residuals in changes in cardiorespiratory fitness and anaerobic power, coupled with lower coefficient of variations in the mean group changes and perceived exertion throughout the training period. The findings indicate that incorporating one, two, or three weekly sessions of sSIT into routine soccer training can lead to similar enhancements in soccer players' physiological and performance adaptations. More importantly, higher training frequencies result in more homogenized adaptations among team members by reducing inter-individual variability in the magnitude of the adaptive responses.

Key words: Intermittent exercise, team sport, performance, anaerobic power, maximal oxygen consumption


           Key Points
  • Incorporating sSIT not only induces meaningful gains in physical performance but also produces adaptations in physiological parameters of soccer players.
  • Although the changes in the variables from pre- to post-intervention were the same among the groups, the 3 sSIT group indicated lower inter-subject variability than other groups.
  • From a practical perspective, it is advisable to incorporate brief sSIT sessions prior to each soccer training for players who experience lower perceived exertion, as increased homogeneity in adaptations has been observed with a higher frequency of weekly sSIT sessions.

INTRODUCTION

Soccer is an intermittent team sport, requiring many physiological and biochemical factors influencing a player's performance (Helgerud et al., 2001). A soccer match involves repeated bouts of high-intensity sprinting, interspersed with short periods of low-to-moderate-intensity activities (Reilly, 1994). Anaerobic metabolism supplies energy for intensive actions such as sprinting, changing direction and jumping, while aerobic energy metabolism prevails during less intense activities such as jogging, walking, and standing (Mohr et al., 2003). Studies have demonstrated a favorable correlation between aerobic fitness and the rapid recovery of power during successive rounds of intense interval exercise (Arazi et al., 2017; Clemente et al., 2022). Therefore, both aerobic and anaerobic metabolic systems are essential in soccer performance (Arazi et al., 2017; Clemente et al., 2021; Sheykhlouvand and Gharaat, 2024).

Although, numerous training methods (i.e., plyometric training, concurrent training, and interval training) are available to improve the mentioned qualities in soccer players (Ramirez-Campillo et al., 2014; Kunz et al., 2019; Youcef et al., 2022), recent studies highlighted that the short sprint interval training (sSIT) is an appropriate training modality for the adaptations of both physical and physiological components of soccer players (Sheykhlouvand and Gharaat, 2024; Li and Xue, 2024; Zhang et al., 2024). In fact, shorter durations of sprints (≤ 10 sec efforts) can yield greater adaptive responses compared to other interval training models (i.e., small-sided games) (Boullosa et al., 2022; Sheykhlouvand and Gharaat, 2024; Lee et al., 2020), with lower rate of perceived exertion (Boullosa et al., 2022). Therefore, sSIT protocols could be considered a new time-efficient and enjoyable approach to improve both aerobic and anaerobic metabolic pathways in soccer players (Boullosa et al., 2022).

Selecting an appropriate sSIT regimen necessitates a thoughtful analysis of diverse parameters, encompassing factors like match-play requirements and expected long-term adaptations. This can be achieved by skillfully manipulating variables, including the number of repetitions, training volume, intensity, distribution of rest intervals, and frequency of training sessions (Buchheit and Laursen, 2013; Sheykhlouvand et al., 2018a; 2018b). Several studies have explored the effects of sSIT on physiological adaptations (Lee et al., 2020; Sheykhlouvand and Gharaat, 2024; Li and Xue, 2024; Zhang et al., 2024; Tao et al., 2024), revealing that a minimum training duration of two weeks, encompassing a minimum of six sessions, is essential to trigger these transformative changes (Boullosa et al., 2022). Recently, Lee and colleagues (2020) reported a significant improvement in aerobic and anaerobic adaptations following a four-week sSIT, characterized by sprints lasting ≤10 sec, spanning 12 sessions. In other study, Belfry and colleagues (2020) have indicated four weeks of sSIT (≤10 sec sprints) is the optimal training dose for improving aerobic performance. Recently, Marzouki et al. (2021) indicated that one and two sessions per week of sprint training induces comparable improvements in linear sprint, change of direction, and jumping ability among soccer players. However, for cardiorespiratory fitness, two sessions were more effective than one session. Consequently, it becomes imperative for coaches to maximize their players' athletic performance by optimizing training frequency to minimize fatigue resulting from training. However, the ideal number of sSIT weekly sessions for soccer players remains uncertain (Marzouki et al., 2021; Boullosa et al., 2022) and the impacts of sSIT at varying frequencies on both physiological parameters and physical performance adaptations remain unknown.

More importantly, studies typically report responses to diverse exercise interventions as average group values, assuming these values reflect individual responses (Arazi et al., 2017; Lee et al., 2020; Boullosa et al., 2022; Mann et al., 2014). Recently, Sheykhlouvand and Gharaat (2024) stated that to clarify the adaptations related to training the calculating of inter-individual variability in team players should be consider. Therefore, to identify an appropriate weekly training frequency of sSIT, determining the inter-individual variability in the adaptive responses to training is important. Therefore, the present study aimed to compare different weekly sSIT frequencies in soccer athletes under volume-matched conditions to determine the optimal frequency of sSIT for physical and physiological performance adaptations. The second objective of this study was to determine inter-subject variability in the adaptations to sSIT with different weekly frequencies.

METHODS

The determination of the sample size was carried out using the G*Power software (Version 3.1.9.2, University of Kiel, Germany). Initially, eight subjects were calculated for each group, taking into account a 95% confidence interval and an analysis power of 0.80. However, to mitigate the potential dropout of participants during data collection, the sample size was subsequently augmented to 10 participants per group based on the study conducted by Zhang et al. (2024) who examined the effects of sSIT on physical and physiological performance of soccer players. A total of 40 participants were selected from college teams engaged in national-level competition (McKay et al., 2022: Category III). During the most recent college national championship, these players achieved placements ranging from fourth to second. At the time of recruitment, each player was participating in three training sessions weekly and one competitive match weekly (Table 1). Therefore, the players exhibited similar competitive schedules and levels of engagement in soccer drills, leading to uniform soccer-specific weekly training loads across all groups involved in the study.

The players were matched according to playing position and then were randomly assigned to 4 groups engaging in one session sSIT (1sSIT, n = 10), two sessions sSIT (2sSIT, n = 10), three sessions sSIT (3sSIT, n = 10) per week, or an active control group (CON, n = 10) consisting of 4 defenders, 4 midfielders, and 2 attackers (Table 2). Participants were familiar with sprint-type interval training but did not engage in intensive interval intervention two months before initiation of the study. Exclusion criteria consisted of a) the presence of upper and lower body injuries within the three months leading up to their participation in the study and b) the absence of any medical or orthopedic conditions that could hinder their participation or performance capabilities. All participants signed an informed consent and volunteered to participate. All procedures were in accordance with the principles of Declaration of Helsinki and were approved by the institutional review board of Jiangxi Science and Technology Normal University.

Study design

Figure 1 indicates experimental design in detail. This study utilized a randomized-controlled design. Group allocation was decided through the use of a computerized random number generator, leading to group assignments that were unpredictable and based on chance. This approach adhered to the guidelines outlined in the "CONSORT" statement. After the baseline measurements, the experimental groups (1sSIT, 2sSIT, and 3sSIT) completed sSIT before their soccer training sessions. All training sessions and performance tests were conducted in the afternoon (4:00 to 6:00 P.M) to minimize the impact of circadian variations in the results. The measurements of the tests were conducted on a grass soccer field, with temperatures ranging from 27-29°C, humidity less than 60% and an average tailwind of ~3.4 m·s-1 with experienced researcher.

Anthropometric measure

The height was measured with a wall-mounted stadiometer (Seca 222, Terre Haute, IN) and recorded to within 0.5 cm and body mass (Tanita, BC-418MA, Tokyo, Japan) with an accuracy of 0.1 kg.

Cardiorespiratory fitness

To assess maximum oxygen consumption (V̇O2max), a graded exercise test was conducted on a treadmill (SportsArt Fitness, T645L, Everett, WA 98203, USA), utilizing a breath-by-breath gas collection system (Hans Rudolph Inc., USA) (Sheykhlouvand and Gharaat, 2024). After a 10-minute general warm-up including stretching movement and ballistic exercises, the test protocol was initiated at a speed of 8 km/h, with the speed increasing by 1 km/h every 3 minutes until participants reached a point of volitional exhaustion. Various criteria were employed to determine the attainment of V̇O2max, including: a) maintaining a stable V̇O2 despite an increase in workload, b) achieving a respiratory exchange ratio greater than 1.10, c) attaining a blood lactate concentration of 8 mmol/L or higher, d) reaching a maximum heart rate equal to or greater than 95% of the age-predicted maximum (220–age), and e) experiencing volitional exhaustion (Sheykhlouvand and Forbes, 2017; Gharaat et al., 2020b; Sheykhlouvand et al., 2022). Following criteria elaborated by Sheykhlouvand and Gharaat (2024), the first and second ventilatory thresholds (VT1 and VT2) were determined for further analysis.

Wingate anaerobic power test

The assessment of the lower body's peak power output (PPO) and average power output (APO) involved a 30-sec maximal Wingate anaerobic test. This test utilized a mechanically braked cycle ergometer (model 894E, Monark, Sweden) with resistance adjusted to 0.075 kg·kg-1 of the participant's body mass. Following the 10-minute warm-up including a 5-minute ballistic movements and a 5-minute cycling, the participants initiated the test by pedaling at maximum speed against the device's inertial resistance, followed by the addition of a personalized load. Verbal encouragement was consistently provided throughout the 30-sec duration to ensure participants maintained their maximum effort. PPO was determined as the highest power achieved at the 5-sec mark, while APO represented the average power output throughout the entire test (Forbes and Sheykhlouvand, 2016).

Jump performance

The study used Vertec Power Systems (Knoxville, Tennessee, TN, USA) to measure countermovement vertical jump (CMVJ). Following a standardized warm-up (5 minutes stretching exercises, 5 minutes ballistic movements and 5 CMVJ trials), participants began crouching with a knee joint angle of about 90°, with no arm swing and then jumped up to reach maximum height. Each participant performed the test three times with a 3-minute break, and the best value of the three measurements was used for analysis (Markovic et al., 2007). The reliability coefficient (ICC) for repeated measurements at CMVJ was 0.95.

Sprint performance

The 20-m sprint test was conducted on a natural grass field. After a standardized warm-up (including two 20-m trials) the participants initiated the sprint from a standing start behind the starting line. On the "Go" command, they ran 20-m as fast as possible and the sprint time was initiated automatically when the participants passed the first time slot at the 0-m mark and continued until he passed the last gate at 20-m (Newtest Power timer 300-series testing system, Finland). Times were recorded within 0.01 (Rimmer and Sleivert, 2000). The ICC for this test was 0.94.

Change of direction ability

The Illinois change of direction (COD) test, completed on a natural grass pitch, was used to assess the ability of soccer players (Miller et al., 2006). Each participant received a specific warm-up, which included two Illinois COD trials, before completing two maximal effort trials with a two-minute rest period between them. For analysis in this study, the fastest time from the two trials was selected (Newtest Power timer 300-series testing system, Finland). The ICC for this test was 0.97.

Yo-Yo intermittent recovery level 1

The Yo-Yo intermittent recovery level 1 (Yo-Yo IR1) protocol has been previously described in detail (Bangsbo et al., 2008). Briefly, after completing two trials of a 20-m sprint test for a specific warm-up, each participant was instructed to perform shuttle runs on a 20-m track with 10 sec of rest. These trials continued until the participant was voluntarily exhausted, and the total distance traveled was recorded for subsequent analysis.

Maximal kicking distance

The maximal kicking distance (MKD) test is used to measure the maximal distance of a soccer player who kicks a ball with one foot (i.e., dominant foot). After the self-selected warm-up (including a 10-minute running and ballistic movement and 5 MKD trials), each participant was instructed to kick a ball (size-5, Nike Seitiro, FIFA certified) for a maximum distance on a soccer field (i.e., grass). The greatest distance achieved from the three kicking trials was used for the analysis. One minute of rest was allowed in between the trials (Ramirez-Campillo et al., 2014).

Training program

The soccer players conducted their training practices, encompassing tactical drills, technical exercises, and small-sided games on Monday, Wednesday, and Friday afternoons, lasting between 70 to 80 minutes from 4:00 to 6:00 P.M. Each session initiated with a standardized 15-minute warm-up, involving jogging and dynamic stretching, followed by sprint repetitions. Before the soccer training sessions, the training groups adhered to their designated training programs, incorporating linear sprints performed at maximum effort (i.e., all-out) with one, two, or three sessions per week, each featuring an equal volume load (Table 3) (Boullosa et al., 2022). The CON group exclusively participated in routine soccer training programs. A specialist conditioning coach supervised all training sessions to ensure proper execution. To control training load, the rating of perceived exertion (RPE) was recorded using the Borg 0-10 RPE Scale (Borg, 1982).

Statistical analysis

Data were presented as mean ± standard deviation (SD). The normality of the distribution was assessed using Shapiro-Wilk's tests. Group differences were analyzed using a two-factor (time×group) repeated-measure analysis of variance (ANOVA), followed by a Bonferroni post-hoc test to control type 1 error. Effect sizes (ES) were calculated using Hedge’s g with a 95% confidence interval (CI) to determine the magnitude of training effects. Significance levels were categorized as follows: <0.2, trivial; 0.2-0.6, small; 0.6-1.2, moderate; 1.2-2.0, large; 2.0-4.0, very large; and >4.0, nearly perfect benchmark (Hopkins et al., 2009). Inter-individual variability for changes over time was assessed by calculating the coefficient of variations (CV). Initially, the individual percent change from pre- to post-training was computed for each variable, and the mean ± SD of individual percent changes was determined. Subsequently, the CV (ratio of SD to the Mean) of percent changes for each variable was calculated. Furthermore, individual residuals were computed as the square root of the squared difference between the individual and the mean value for each tested variable. The between-group mean residuals were then compared for each variable to discern the effects of sSIT with different weekly frequencies on inter-subject variability in physiological and performance variables (Zhang et al., 2024). The alpha level for statistical significance was set at 0.05.

RESULTS

Every player exhibited absolute compliance, leading to a 100% success rate. Additionally, there were no documented instances of injuries linked to the training or testing interventions. At the baseline, no significant differences were observed among groups, and the CON group exhibited no significant changes in physical performance and physiological variables (p > 0.05) over time. Furthermore, at post-test, all training groups demonstrated greater adaptive responses compared to the CON group (p < 0.05).

Physical performance

All training groups exhibited significant (p < 0.05) improvements, ranging from small to large, in the CMVJ, 20-m sprint, Illinois COD, Yo-Yo IR1, and MKD following 6 weeks of training (Table 4).

When analyzing percent change and residuals in changes for physical performance variables, no significant differences were noted among the groups in 20-m sprint (p = 0.51 and 0.99), Illinois COD (p = 0.79 and 0.17), Yo-Yo IR1 (p = 0.96 and 0.48) (Figure 2), CMVJ (p = 0.82 and 0.74), and MKD (p = 0.61 and 0.85) (Figure 3).

Additionally, the 3sSIT group exhibited lower CV in mean individual changes in the abovementioned variables than other groups (Figure 6).

Physiological variables

All training groups displayed significant improvements, ranging from small to very large (p < 0.05), in V̇O2max, VT1, VT2, APO, and PPO after 6 weeks of training (Table 5).

Analyzing percent change in physiological variables revealed no significant differences among the groups in V̇O2max (p = 0.83), VT1 (p = 0.88), VT2 (p = 0.156) (Figure 4), and APO (p = 0.81), except for PPO (p = 0.011) (Figure 5). When comparing individual residuals in changes, no significant differences were observed in VT1 (p = 0.35) and APO (p = 0.21). However, the 3sSIT group resulted in significantly lower residuals in individual changes in V̇O2max (p = 0.016), VT2 (p = 0.020), and PPO (p = 0.01) than the other groups.

Additionally, the 3sSIT group exhibited lower CVs in mean individual changes in the physiological variables than other groups (Figure 6).

Descriptive data for session RPE (sRPE) are presented in Figure 7. The results indicate that the sRPE decreases with an increase in the number of training sessions, with the order being 1sSIT > 2sSIT > 3sSIT.

DISCUSSION

This study investigated the impact of different weekly sSIT frequencies under a volume-matched condition on cardiorespiratory fitness, anaerobic power, and physical performance of male soccer players. The results indicated that one, two, or three weekly sessions of sSIT performed over a 6-week training period led to a significant enhancement in measures of aerobic and anaerobic performance. More importantly, analyzing individual adaptations reviled higher training frequencies results in more homogenized adaptations among team members by reducing inter- individual variability in the magnitude of the adaptive responses.

Physical performance

The significant improvements observed in the CMVJ, 20-m sprint, Illinois COD, Yo-Yo IR1, and MKD across all training groups after 6 weeks were in accordance with previous research demonstrating the notable effects of various forms of sprint interval training on performance adaptations in soccer players (Arazi et al., 2017; Kunz et al., 2019; Lee et al., 2020; Boullosa et al., 2022; Arslan et al., 2020; Clemente et al., 2021; Yan et al., 2022; Li and Xue, 2024) by improvements in neuromuscular properties (Rimmer and Sleivert, 2000; Markovic et al., 2007), including intermuscular coordination and firing rate of alpha motor neuron (Zhang et al., 2024). Additionally, gains in muscle-tendon mechanical properties (Clemente et al., 2021), activation of fast-twitch muscle fibers (Arslan et al., 2020), and improvements in vertical and horizontal acceleration (Markovic et al., 2007) likely contribute to the observed improvements in CMVJ, 20-m sprint, and Illinois COD performance. The observed increase in running economy and musculotendinous stiffness (Yan et al., 2022), promoting enhanced recovery during sSIT, may lead to adaptive changes in Yo-Yo IR1. Moreover, sSIT intervention has been shown to induce neuromuscular adaptations that improve biomechanical parameters related to MKD, such as leg maximum linear speed (Lees et al., 2010; Wong et al., 2010).

While the percent change and residuals in physical performance variables did not show statistically significant differences among the groups, the 3sSIT group demonstrated lower residuals and CVs in the magnitude of these changes. This indicates that, although all sSIT frequencies are effective in enhancing physical performance adaptations, the 3sSIT group achieved more consistent results compared to the other groups.

Physiological variables

After six weeks of training, all training groups exhibited significant improvements in V̇O2max, VT1, VT2, PPO and APO. These findings align with prior research, highlighting the significant effects of various sprint interval training approaches on physiological variables (Helgerud et al., 2001; Mohr et al., 2003; Arazi et al., 2017; Kunz et al., 2019; Lee et al., 2020; Boullosa et al., 2022; Sheykhlouvand and Gharaat, 2024). The improvements in cardiorespiratory fitness could be attributed to enhancements in both the central aspect (Song and Sheykhlouvand, 2024; Sayevand et al., 2022), involving the delivery of more oxygen to the working muscles (Buchheit and Laursen, 2013), and the peripheral aspect, oxygen utilization by active muscles (Yan et al., 2022; Gharaat et al., 2024; Rasouli Mojez et al., 2021). Enhanced anaerobic performance (i.e., APO and PPO) could be associated with factors such as an elevation in the discharge rate and recruitment of high-threshold motor units (Tønnessen et al., 2020), an increase in the total creatine content in active muscles (Li and Xue, 2024), and an improvement in the muscle's buffering capacity (Kunz et al., 2019).

The analysis of residuals in individual adaptive responses indicated that the 3sSIT method effectively reduces inter-individual variability in the changes observed in V̇O2max, VT2, and PPO. Furthermore, the 3sSIT group exhibited lower CVs, suggesting a more uniform physiological adaptation among participants. The findings underscore the potential of this training approach to enhance the consistency of adaptations within a team setting with reduced fatigue and RPE. This, in turn, results in more substantial adaptive changes in the contractile ability of muscles (Sheykhlouvand and Gharaat, 2024; Zhang et al., 2024) and gains in PPO. Therefore, it is recommended for coaches and athletes who prefer a segmented approach to sSIT as it elicits more favorable adaptive responses in the PPO of soccer players, characterized by lower residuals in changes and homogeneous adaptations.

The results suggest that the interval between training sessions significantly influences physiological improvements more than the total number of sessions completed. Hatle et al. (2014) conducted a study comparing the effects of a 24-session high-intensity interval training (HIIT) program over eight weeks at a moderate frequency of three sessions per week versus a high frequency of eight sessions over three weeks. Their findings revealed that cardiovascular adaptations were delayed in the high-frequency training group compared to those in the moderate frequency group. Although the total workload was consistent across both groups, the differing training durations complicate direct comparisons with our results. In a study aligned with our methodology, Tønnessen et al. (2020) evaluated two groups with matched total weekly training volumes, one performing two sessions per week of longer HIIT and the other four sessions per week of shorter HIIT. The outcomes indicated that despite equivalent workloads, the concentrated exercise stimulus in the low-frequency group led to more favorable adaptations, supporting our findings. The observed small to very large training effects after single, double, and triple sprints indicate an optimal workload and recovery period between sessions. Overall, the interpretation of these studies, along with our results, suggests that the ideal stress from training interventions and appropriate recovery intervals enhance athletes' recovery and training responses. For sSIT, performing two sets of 6×5 sec with 15 sec of recovery between repetitions and a three-minute recovery between sets, three times per week, appears to be more effective than longer, low-frequency sessions.

Another aspect of this study involved assessing sRPE after each sSIT session. The findings revealed a decrease in sRPE with an increase in the number of training sessions (1sSIT > 2sSIT > 3sSIT). When considering these results in conjunction with existing literature (Marzouki et al., 2021; Boullosa et al., 2022), it is reasonable to suggest that sRPE serves as a suitable marker for monitoring training load and providing insights into soccer players' perceived exertion. The study's primary outcome emphasizes the significance of monitoring RPE during interval training sessions. In this context, increasing training frequencies led to lower sRPE, potentially enhancing the enjoyment of athletes who perceived lower effort during the training programs.

The present study has several limitations that should be acknowledged. Firstly, the relatively small number of participants, with only 10 soccer players in each group, may limit the overall power of the findings. However, a priori power analysis was performed, suggesting that this sample size is adequate for achieving the necessary statistical power. Another limitation is the authors' failure to monitor the intensity and running distance of each training session for individual subjects using global positioning system (GPS) technology. Future studies are encouraged to utilize laboratory measurements to identify the specific adaptations that facilitate the mechanisms underlying SIT. Moreover, the authors did not sufficiently account for soccer practice by monitoring psycho-physiological variables and nutritional status, which should be taken into consideration in future research. Additionally, controlling for other soccer training variables, such as short sprints during small-sided games, should be a focus of future investigations.

CONCLUSION

In summary, redistributing a given training volume (36 trials of 5 sec) across 1, 2, or 3 sessions per week does not yield statistically significant differences in CMVJ, 20-m sprint, Illinois COD, Yo-Yo IR1, cardiorespiratory fitness, power output, and MKD after a 6-week training period. However, our findings suggest that a higher frequency of sSIT diminishes effect on residual changes in male soccer players while maintaining consistency in adaptation during the 6-week training period. Therefore, strength and conditioning coaches may consider incorporating more sessions with shorter training durations to enhance athletic performance with reduced perceived exertion and consistent adaptations. From a practical perspective, executing fewer repetitions of sSIT during each training session may prove to be more advantageous than conducting a higher number of repetitions in a single training session, as this approach promotes improved uniformity in adaptations.

ACKNOWLEDGEMENTS

The experiments comply with the current laws of the country in which they were performed. The authors have no conflict of interest to declare. The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author who was an organizer of the study.

AUTHOR BIOGRAPHY

Journal of Sports Science and Medicine Qingwen Liu
Employment: Jiangxi Science and Technology Normal University
Degree: Master
Research interests: Soccer training; sports physiology
E-mail: 18679116027@163.com
 

Journal of Sports Science and Medicine Wanglong Wang
Employment: Jiangxi Science and Technology Normal University
Degree: Master
Research interests: Soccer training; sports physiology
E-mail: wwl0012023@163.com
 

Journal of Sports Science and Medicine Chuan Shu
Employment: Jiangxi Science and Technology Normal University
Degree: Master
Research interests: Soccer training; sports physiology
E-mail: shuchuan1983@163.com
 
 
REFERENCES
Journal of Sports Science and Medicine Arazi H., Keihaniyan A., Eatemady-Brooujeni A., Oftade A., Takhsha A., Asadi A., Ramirez-Campillo R. (2017) Effects of heart rate vs. speed based high intensity interval training on aerobic and anaerobic capacity of female soccer players. Sports 57, 1-8.  Crossref
Journal of Sports Science and Medicine Arslan E., Orer G., Clemente F. (2020) Running-based high-intensity interval training vs. small-sided game training programs: effects on the physical performance, psychophysiological responses and technical skills in young soccer players. Biology of Sport 37, 165-173.  Crossref
Journal of Sports Science and Medicine Bangsbo J., Iaia F. M., Krustrup P. (2008) The Yo-Yo intermittent recovery test: a useful tool for evaluation of physical performance in intermittent sports. Sports Medicine 38, 37-51.  Crossref
Journal of Sports Science and Medicine Bayati M., Farzad B., Gharakhanlou R., Agha-Alinejad H. (2011) A practical model of low-volume high-intensity interval training induces performance and metabolic adaptations that resemble ‘all-out’ sprint interval training. Journal of Sports Science and Medicine 10, 571-576.  Pubmed
Journal of Sports Science and Medicine Belfry G.R., Paterson D.H., Thomas S.G. (2020) High-intensity10- s work: 5-s recovery intermittent training improves anaerobic and aerobic performances. Research Quarterly for Exercise and Sport 91, 640-651.  Crossref
Journal of Sports Science and Medicine Borg G. A. (1982) Psychophysical bases of perceived exertion. Medicine and Science in Sports and Exercise 14, 377-381.  Crossref
Journal of Sports Science and Medicine Boullosa D., Deagutinovic B., Feuerbacher J. F., Benitez-Flores S., Coyle E. F., Schumann M. (2022) Effects of short sprint interval training on aerobic and anaerobic indices: A systematic review and meta-analysis. Scandinavian Journal of Medicine and Science in Sports 32, 810-820.  Crossref
Journal of Sports Science and Medicine Buchheit M., Laursen P. B. (2013) High-intensity interval training, solutions to the programming puzzle-part I. Sports Medicine 43, 313-338.  Crossref
Journal of Sports Science and Medicine Clemente F. M., Ramirez-Campillo R., Afonso J., Sarmento H. (2021) Effects of small-sided games vs. running-based high-intensity interval training on physical performance in soccer players: A meta-analytical comparison. Frontiers in Physiology 12, 642703.  Crossref
Journal of Sports Science and Medicine Clemente F. M., Soylu Y., Arslan E., Kilit B., Garrett J., van den Hoek D., Silva A. F. (2022) Can high-intensity interval training and small-sided games be effective for improving physical fitness after detraining? A parallel study design in youth male soccer players. PeerJ 10, e13514.  Crossref
Journal of Sports Science and Medicine Forbes S. C., Sheykhlouvand M. (2016) A review of the physiological demands and nutritional strategies for canoe polo athletes. Sports Nutrition and Therapy 1, 116.  Crossref
Journal of Sports Science and Medicine Gharaat M. A., Choobdari H. R., Sheykhlouvand M. (2024) Cardioprotective effects of aerobic training in diabetic rats: Reducing cardiac apoptotic indices and oxidative stress for a healthier heart. ARYA Atherosclerosis Journal 20, 50-60.  Crossref
Journal of Sports Science and Medicine Gharaat M. A., Kashef M., Eidi Abarghani L., Sheykhlouvand M. (2020) Effect of beta alanine on lactate level and Specific performance of elite male rowers. Journal of Sabzevar University of Medical Sciences 27, 73-81.
Journal of Sports Science and Medicine Hatle H., Støbakk P. K., Mølmen H. E., Brønstad E., Tjønna A. E., Steinshamn S., Rognmo Ø. (2014) Effect of 24 sessions of high-intensity aerobic interval training carried out at either high or moderate frequency, a randomized trial. Plos One 9, e88375.  Crossref
Journal of Sports Science and Medicine Helgerud J., Engen L. C., Wisløff U., Hoff J. A. N. (2001) Aerobic endurance training improves soccer performance. Medicine and Science in Sports and Exercise 33, 1925-1931.  Crossref
Journal of Sports Science and Medicine Hopkins W. G., Marshall S. W., Batterham A. M., Hanin J. (2009) Progressive statistics for studies in sports medicine and exercise science. Medicine and Science in Sports and Exercise 41, 3-13.  Crossref
Journal of Sports Science and Medicine Kunz P., Engel F. A., Holmberg H. C., Sperlich B. (2019) A meta-comparison of the effects of high-intensity interval training to those of small-sided games and other training protocols on parameters related to the physiology and performance of youth soccer players. Sports Medicine-open 5, 1-13.  Crossref
Journal of Sports Science and Medicine Lee K.H., Lee K., Chol Y. C. (2020) Very short term high intensity interval training in high school soccer players. Journal of Men's Health 16, 1-8.  Crossref
Journal of Sports Science and Medicine Lees A., Asai T., Andersen T.B., Nunome H., Sterzing T. (2010) The biomechanics of kicking in soccer: a review. Journal of Sports Science 28, 805-817.  Crossref
Journal of Sports Science and Medicine Li X., Xue K. (2024) Optimizing short sprint interval training for young soccer players: unveiling optimal rest distributions to maximize physiological adaptations. Journal of Sports Science and Medicine 23, 475-486.  Crossref
Journal of Sports Science and Medicine Mann T. N., Lamberts R. P., Lambert M. I. (2014) High responders and low responders: factors associated with individual variation in response to standardized training. Sports Medicine 44, 1113-1124.  Crossref
Journal of Sports Science and Medicine Markovic G., Jukic I., Milanovic D., Metikos D. (2007) Effects of sprint and plyometric training on muscle function and athletic performance. Journal of Strength and Conditioning Research 21, 543-549.  Crossref
Journal of Sports Science and Medicine Marzouki H., Ouergui I., Doua N., Gmada N., Bouassida A., Bouhlel E. (2021) Effects of 1 vs. 2 sessions per week of equal-volume sprint training on explosive, high-intensity and endurance-intensive performances in young soccer players. Biology of Sport 38, 175-183.  Crossref
Journal of Sports Science and Medicine McKay A. K., Stellingwerff T., Smith E. S., Martin D. T., Mujika I., Goosey-Tolfrey V. L., Burke L. M. (2022) Defining training and performance caliber: a participant classification framework. International Journal of Sports Physiology and Performance 17, 317-331.  Crossref
Journal of Sports Science and Medicine Miller M. G., Herniman T. J., Ricard M. D., Cheatham C. C., Michael T. J. (2006) The effects of a 6-week plyometric training program on agility. Journal of Sport Science and Medicine 5, 459-465.  Pubmed
Journal of Sports Science and Medicine Mohr M., Krustrup P., Bangsbo J. (2003) Match performance of high-standard soccer players with special reference to development of fatigue. Journal of Sports Sciences 21, 519-528.  Crossref
Journal of Sports Science and Medicine Ramirez-Campillo R., Andrade D.C., Alvarez C., Henriquez-Olguin C., Martinez C., Baez-SanMartin E., Silva-Urra J., Burgos C., Izquierdo M. (2014) The effects of interset rest on adaptation to 7 weeks of explosive training in young soccer players. Journal of Sports Science and Medicine 13, 287-296.  Pubmed
Journal of Sports Science and Medicine Rasouli Mojez M., Gaeini A.A., Choobineh S., Sheykhlouvand M. (2021) Hippocampal oxidative stress induced by radiofrequency electromagnetic radiation and the neuroprotective effects of aerobic exercise in rats: a randomized control trial. Journal of Physical Activity and Health 18, 1532-1538.  Crossref
Journal of Sports Science and Medicine Reilly T. (1994) Physiological aspects of soccer. Biology of Sport 11, 3-20.
Journal of Sports Science and Medicine Rimmer E., Sleivert G. (2000) Effects of a plyometrics intervention program on sprint performance. Journal of Strength and Conditioning Research 14, 295-301.  Crossref
Journal of Sports Science and Medicine Sayevand Z., Nazem F., Nazari A., Sheykhlouvand M., Forbes S. C. (2022) Cardioprotective effects of exercise and curcumin supplementation against myocardial ischemia-reperfusion injury. Sport Sciences for Health 18, 1011-1019.  Crossref
Journal of Sports Science and Medicine Sheykhlouvand M., Arazi H., Astorino T. A., Suzuki K. (2022) Effects of a new form of resistance-type high-intensity interval training on cardiac structure, hemodynamics, and physiological and performance adaptations in well-trained kayak sprint athletes. Frontiers in Physiology 13, 850768.  Crossref
Journal of Sports Science and Medicine Sheykhlouvand M., Forbes S. C. (2017) Aerobic capacities, anaerobic power, and anthropometric characteristics of elite female canoe polo players based on playing position. Sport Sciences for Health 14, 19-24.  Crossref
Journal of Sports Science and Medicine Sheykhlouvand M., Gharaat 5, Khalili M., Agha-Alinejad E., Rahmaninia H., Arazi F. (2018a) Low-Volume High-intensity interval versus continuous endurance training: effects on hematological and cardiorespiratory system adaptations in professional canoe polo athletes. Journal of Strength and Conditioning Research 32, 1852-1860.  Crossref
Journal of Sports Science and Medicine Sheykhlouvand M., Gharaat M. (2024) Optimal homeostatic stress to maximize the homogeneity of adaptations to interval interventions in soccer players. Frontiers in Physiology 15, 1377552.  Crossref
Journal of Sports Science and Medicine Sheykhlouvand M., Khalili E., Gharaat M., Arazi H., Khalafi M., Tarverdizadeh B. (2018b) Practical model of low-volume paddling-based sprint interval training improves aerobic and anaerobic performances in professional female canoe polo athletes. Journal of Strength and Conditioning Research 32, 2375-2382.  Crossref
Journal of Sports Science and Medicine Song Y., Sheykhlouvand M. (2024) A Comparative analysis of high-intensity technique-specific intervals and short sprint interval training in taekwondo athletes: Effects on cardiorespiratory fitness and anaerobic power. Journal of Sports Science and Medicine 23, 672-683.  Crossref
Journal of Sports Science and Medicine Tao, T., Zhang, N., Yu, D. and Sheykhlouvand, M. (2024) Physiological and performance adaptations to varying rest distributions during short sprint interval training trials in female volleyball players: A comparative analysis of interindividual variability. International Journal of Sports Physiology and Performance (Ahead of print) 1-10.  Crossref
Journal of Sports Science and Medicine Tønnessen E., Hisdal J., Ronnestad B. R. (2020) Influence of interval training frequency on time-trial performance in elite endurance athletes. International Journal of Environmental Research and Public Health 17, 3190.  Crossref
Journal of Sports Science and Medicine Wong P. L., Chaouachi A., Chamari K., Dellal A., Wisloff U. (2010) Effect of preseason concurrent muscular strength and high-intensity interval training in professional soccer players. Journal of Strength and Conditioning Research 24, 653-660.  Crossref
Journal of Sports Science and Medicine Yan S., Kim Y., Choi Y. (2022) Aerobic and anaerobic fitness according to high-intensity interval training frequency in youth soccer players in the last stage of rehabilitation. International Journal of Environmental Research and Public Health 19, 15573.  Crossref
Journal of Sports Science and Medicine Youcef K., Mokhtar M., Adel B., Wahib B. (2022) Effects of different concurrent training methods on aerobic and anaerobic capacity in u 21 soccer players. Sports Science and Health 23, 10-22.  Crossref
Journal of Sports Science and Medicine Zhang J., Wei A., Xie C. (2024) Effects of sprint interval training surface on physical fitness attributes of collegiate female soccer players: Identifying individual responses to training on grass, sand, and land surfaces. Journal of Sports Science and Medicine 23, 465-474.  Crossref
 
 
 
Home Issues About Authors
Contact Current Editorial board Authors instructions
Email alerts In Press Mission For Reviewers
Archive Scope
Supplements Statistics
Most Read Articles
  Most Cited Articles
 
  
 
JSSM | Copyright 2001-2024 | All rights reserved. | LEGAL NOTICES | Publisher

It is forbidden the total or partial reproduction of this web site and the published materials, the treatment of its database, any kind of transition and for any means, either electronic, mechanic or other methods, without the previous written permission of the JSSM.

This work is licensed under a Creative Commons License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.