Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2, 1463-1472 2025 Publisher: Learning Gate DOI: 10.55214/25768484.v9i2.4779 © 2024 by the authors; licensee Learning Gate © 2025 by the authors; licensee Learning Gate History: Received: 13 December 2024; Revised: 23 January 2025; Accepted: 27 January 2025; Published: 14 February 2025 * Correspondence: jcobaj@ust.edu.al Quantitative analysis of athletic performance enhancement: The effects of aerobic training on VO₂ max in young soccer’s Ferdinand MARA1, Jorida ÇOBAJ2* 1,2Department of Physical Activity, Recreation & Tourism, Faculty of Physical Activity, Sports University of Tirana, Albania; jcobaj@ust.edu.al (J.C.) Abstract: Soccer is a high-intensity sport that combines aerobic endurance with agility and neuromuscular coordination to optimize performance. The literature review described the many roles that aerobics play in soccer, from professional performances to youth development, and the range of methods used to evaluate and enhance it. The present study has been designed to examine the impact of incorporating aerobic exercises combined with acrobatic movements into the training regimes of young soccer players and their repercussions on athletic performance as measured by VO₂ Max. A total of 44 male soccer players, aged 18-19, were randomly assigned to either a control group (n = 22), following standard soccer training, or an experimental group (n = 22) that included aerobic and acrobatic exercises three times per week over an entire competitive season. VO₂ Max was measured in the laboratory at the Sports University of Tirana before and after the intervention. Data analysis included independent samples t-tests and Repeated Measures ANOVA. The baseline, control, and experimental groups were statistically not different in their VO₂ Max values. This therefore means that differences at the start did not obscure findings. After training, the experimental group showed a significant increase in VO₂ Max over the control group, thus confirming the hypothesis that the combined aerobic and acrobatic training has positive effects on endurance and athletic performance. There was a significant interaction effect of training modality and VO₂ Max improvement, F (1, 42) = 1176.58, p < .001; the experimental group showed a significantly higher increase in VO₂ Max compared to the control group. These findings indicate that the combination of aerobic and acrobatic exercises in soccer training improves cardiorespiratory endurance and possibly contributes to the general development of an athlete. The study has shown the importance of new training methods in optimizing soccer performance and has provided empirical evidence for their effectiveness. The findings of this study confirm the notion that soccer training programs should combine aerobic drills with acrobatic elements to maximize endurance. Further studies should investigate the long-term effects of such training methods and their influence on match performance and the prevention of injuries. Keywords: Acrobatic training, VO₂ Max, Aerobic exercise training, Athletic performance, Endurance, Soccer training. 1. Introduction Aerobic fitness is an important factor in professional soccer, having a significant influence on both physical and tactical aspects of the game. Modric, et al. [1] researched how aerobic fitness can be related to indicators of game performance, emphasizing differences regarding playing position. It was found that midfielders mostly had higher VO2 Max values compared with defenders and forwards, reflecting the different physiological demands for each role. Comparing the methodologies for VO2 Max estimation, Mulazimoglu, et al. [2] investigated three different shuttle run tests. Based on their findings, all these tests are valid; however, some protocols are 1464 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate more reliable for specific athletic populations, which underlines the importance of choosing the appropriate testing methods to get accurate aerobic capacity. Bidaurrazaga-Letona, et al. [3] focused on youth soccer, studying how aerobic fitness development contributes to talent identification and selection. Their research showed that higher levels of VO2 Max are related to advanced levels of skills development and selection within competitive youth environments. On individualized training, Mujika, et al. [4] presented a case study of a youth elite soccer player who was underperforming. Individualized aerobic-power training resulted in great improvement in the VO2 Max of the player, thus proving the effectiveness of personalized interventions for performance enhancement in youth elite athletes. Pelliccia, et al. [5] indeed gave comprehensive guidelines on sports cardiology and exercise in athletes with cardiovascular conditions. Recommendations are that regular aerobic fitness assessments should be performed, including VO2 Max for safe participation in competitive sports. Lola and Tzetzis [6] have pointed out that young athletes' motor and perceptual skills have been developed, and aerobic conditioning provides the very foundation on which advanced physical and cognitive capabilities are built. Their insights bring into perspective the holistic benefits of aerobic conditioning beyond mere endurance improvements. Arslanoglu, et al. [7] investigated combined methods of training: with maximal aerobic speed and small-sided games. Indeed, such combined methods were effective in training to improve the level of aerobic capacity among amateur football players, which could later be used for different conditions. Along the same line, Zaharia, et al. [8] compared the influence of small-sided games with those of conventional training in U18 soccer players. During the eight-week period, small-sided games improved aerobic endurance and added a technical skills advantage, offering dual benefits to youth development programs. Alkhateeb and Donath [9] investigated how soccer compared to traditional aerobic exercise affected muscle structure. Their RCT found that soccer-specific training has an equally positive effect as a training tool in terms of the aerobic improvement but simultaneously introduces muscular adaptations, hence being even more efficient for training. Michaelides, et al. [10] investigated the effects of an eight-week pre-season training program in professional soccer players in terms of their aerobic fitness. Their results showed significant VO2 Max enhancements, underlining the crucial contribution that well-planned pre-season conditioning would give to reach an optimal in-season level. Literature review outlined the multifunctional role that aerobics performs in soccer, from youth development to professional performances, and a variety of approaches to its improvement and assessment. Based on the literature review we proposed the following hypothesis for this study. Given the deficiencies identified in the traditional soccer training methodologies, the current study introduces a novel approach by incorporating both aerobic and acrobatic exercises. These types of training will interactively influence cardiorespiratory endurance, agility, and overall athletic performance. The hypothesis formulation, according to the current research available, can be identified as follows: H₀: Innovative training methods including aerobic and acrobatic exercises will have no significant effect on the athletic performance, as measured by VO₂ Max, in young soccer’s. H₁: Innovative training methods integrating aerobic and acrobatic exercises will significantly enhance the athletic performance of young soccer’s as measured by VO₂ Max. This hypothesis was tested through an empirical analysis involving a structured training program, with pre- and post-intervention measurements of VO₂ Max, enabling a data-driven test of the efficacy of these training modalities. 1465 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate 2. Research Methodology 2.1. Partecipants This study investigates the impact of integrating aerobic exercises with music and acrobatic movements into the standard training routines of 19-year-old male soccer’s in Tirana. The age group selected exhibits significant physical changes, including peak physiological function and enhanced agility. Soccer demands a combination of aerobic and anaerobic strength, agility, and power. Conducted at the gymnastics facilities near the Sports University of Tirana (UST), the research involves 44 participants divided into two groups: • Control Group: 22 soccer’s adhering to standard soccer training. • Experimental Group: 22 soccer’s undergoing additional aerobic and acrobatic training, conducted thrice weekly over the course of a full championship season. 2.2. Procedures Participants underwent two evaluations—one at the beginning of the experimental phase and another at the end—to measure VO₂ Max in laboratory conditions at UST. The Treadmill VO2 Max Test was conducted to evaluate the athlete's aerobic endurance capacity. The test began with a standardized warm-up at a speed of 4.5 km/h and a 0° incline to prepare the athlete physiologically. Upon receiving the command "START," the athlete initiated the test while the stopwatch was activated. The treadmill’s speed and incline were progressively increased at predetermined intervals according to a specific protocol designed to gradually intensify the workload. The athlete continued running until the point of voluntary exhaustion or inability to maintain the required pace, indicating maximal effort. Throughout the test, an assistant monitored performance, adjusted treadmill settings, and ensured safety. The data collected, including time to exhaustion, speed, incline, and respiratory gas measurements, were used to calculate VO2 Max, providing critical insights for performance assessment and future training recommendations. 2.3. Statistical Analysis Data analysis was conducted through the use of IBM SPSS Statistics 26. Repeated Measures ANOVA was used to ascertain the effect of the novel training methods using aerobics exercises on VO₂ Max. The test was intended to ascertain whether the interaction between time-interval (pre- and post-) and group membership-experimental and control significantly influences the values of VO₂ Max. The following were checked for the dataset before doing the statistical tests: The Shapiro-Wilk test for normal distribution of VO₂ Max values; Homogeneity of Variances where the variances in VO₂ Max were tested using Levene's test; Mauchly's test of sphericity. To examine whether group membership affected the changes in VO₂ Max over time, a 2 (Group: Experimental, Control) × 2 (Time: Pre, Post) Repeated Measures ANOVA was conducted. 3. Results The data summarizes the age distribution of male soccer’s randomly assigned to two groups: control and experimental. The control group (n = 22) had a mean age of M = 18.56, Mdn = 18.50, with a minimum age of 18.0 and a maximum age of 19.9, SD = 0.39, and SE = 0.08. The experimental group (n = 22) had a mean age of M = 18.37, Mdn = 18.30, with a minimum age of 18.0 and a maximum age of 18.9, SD = 0.27, and SE = 0.06. Across both groups (N = 44), the total sample had a mean age of M = 18.47, Mdn = 18.50, with a minimum age of 18.0 and a maximum age of 19.9, SD = 0.34, and SE = 0.05 1466 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Table 1. Descriptive statistics for participants’ age by group. Group N Mean Median Min Max SD SE Mean Control 22 18.56 18.50 18.0 19.9 0.39 0.08 Experimental 22 18.37 18.30 18.0 18.9 0.27 0.06 Total 44 18.47 18.50 18.0 19.9 0.34 0.05 Table 2. Descriptive statistics for VO₂ Max (ml/min/kg) Pre- and post-intervention. Group N Mean Median SE Mean Min Max Range SD Control (Pre) 22 58.40 58.73 1.03 46.08 68.64 22.56 4.83 Control (Post) 22 60.42 60.57 1.06 47.58 71.00 23.42 4.97 Exp. (Pre) 22 59.01 59.86 1.10 48.60 68.32 19.72 5.17 Exp. (Post) 22 66.97 67.14 1.01 57.76 75.50 17.74 4.73 Total (Pre) 44 58.70 59.13 0.75 46.08 68.64 22.56 4.95 Total (Post) 44 63.69 63.67 0.88 47.58 75.50 27.92 5.83 Regarding VO2 Max (ml/min/kg) measured at the pre-test, the control group had a mean value of 58.40 (=4.83) with a 95% confidence interval (CI) ranging from 56.25 to 60.54, while the experimental group demonstrated a higher mean of 59.01 (SD=5.17) with a 95% CI of 56.72 to 61.30. Figure 1 illustrates the distribution of VO₂ Max values for the control group before the intervention. The shape of the distribution provides insights into the variability and skewness of the baseline fitness levels in this group. The post-intervention histogram (Figure 2) for the control group shows any shifts in the distribution of VO₂ Max scores, reflecting the changes in VO₂ Max due to the intervention. Histogram of VO₂ Max (ml/min/kg) Pre-Intervention for Experimental Group is presented in Figure 3, displaying the initial VO₂ Max distribution for the experimental group. The distribution helps compare baseline VO₂ Max levels before applying the intervention and after intervention (Figure 4). Figure 1. Histogram of VO₂ Max (ml/min/kg) pre-intervention for control group. 1467 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Figure 2. Histogram of VO₂ Max (ml/min/kg) post-intervention for control group. Figure 3. Histogram of VO₂ max (ml/min/kg) Pre-intervention for experimental group. 1468 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Figure 4. Histogram of VO₂ Max (ml/min/kg) post-intervention for experimental group. Despite the difference in means, an independent samples t-test (Table 3) revealed no statistically significant difference between the groups, (t (42) =0.41, p=.69) at the start point. An independent samples t-test was conducted on the pre-intervention VO₂ Max scores to establish if the groups were equivalent on the outcome measure. As indicated in Table 3, there was no significant difference in the pre-test VO₂ Max values between the control and experimental group, Table 3. Independent samples t-test for VO₂ Max (ml/min/kg) pre-intervention Assumption F Sig. t df p (2- tailed) Mean difference SE difference 95% CI lower 95% CI upper Equal variances assumed 0.31 0.58 0.41 42 0.69 0.61 1.51 -2.43 3.66 Equal variances not assumed 0.41 41.82 0.69 0.61 1.51 -2.43 3.66 These results suggest that the control and experimental groups were comparable in baseline physical performance metrics. 1469 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Figure 5. Boxplot of VO₂ Max (ml/min/kg) Pre-Intervention for Experimental and Control groups. Figure 6. Boxplot of VO₂ Max (ml/min/kg) post-intervention for experimental and control groups. 1470 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Figure 7. Boxplot of VO₂ Max (ml/min/kg) Pre and Post Intervention for both groups. 3.1. Repeated Measures ANOVA Results A repeated measures ANOVA was conducted to examine the effect of group membership on VO₂ Max. The results demonstrated a significant multivariate effect for VO₂ Max, Pillai’s Trace = 0.988, F (1, 42) = 3331.08, p < .001, η²ₚ = .988, indicating that VO₂ Max significantly changed across measurements. Mauchly's test was not significant thus indicating no violation of sphericity (W = 1.000, p = 1. The analysis revealed there was a significant main effect of VO₂ Max, F (1, 42) = 3331.08, p <.001, which suggested that the training had a strong influence on VO₂ Max. Additionally, the interaction of VO₂ Max and Group was significant, F (1, 42) = 1176.58, p <.001, indicating that group membership influenced change in VO₂ Max. Table 4. Multivariate test results for the effect of group on VO₂ max. Effect Value F Hypothesis df Error df Sig. VO₂ Max. Pillai's Trace 0.988 3331.084ᵇ 1.000 42.000 0.000 Wilks' Lambda 0.012 3331.084ᵇ 1.000 42.000 0.000 Hotelling's Trace 79.312 3331.084ᵇ 1.000 42.000 0.000 Roy's Largest Root 79.312 3331.084ᵇ 1.000 42.000 0.000 VO₂ Max × Group Pillai's Trace 0.966 1176.579ᵇ 1.000 42.000 0.000 Wilks' Lambda 0.034 1176.579ᵇ 1.000 42.000 0.000 Hotelling's Trace 28.014 1176.579ᵇ 1.000 42.000 0.000 Roy's Largest Root 28.014 1176.579ᵇ 1.000 42.000 0.000 Note: Design: Intercept + Group. Within-Subjects Design: VO₂ Max. ᵇ Exact statistic. Table 5. Within-subjects contrasts for VO₂ max. Source Type III sum of squares df Mean square F Sig. VO₂ max. (Linear) 547.902 1 547.902 3331.084 0.000 VO₂ max. × Group 193.526 1 193.526 1176.579 0.000 Error (VO₂ max.) 6.908 42 0.164 1471 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Table 6. Between-subjects effects for VO₂ max. Source Type III sum of squares df Mean square F Sig. Intercept 329,586.480 1 329,586.480 6811.674 0.000 Group 282.032 1 282.032 5.829 0.020 Error 2032.192 42 48.386 The intercept was very significant, F (1, 42) = 6811.67, p <.001, reflecting overall magnitude of VO₂ Max values. More importantly, a main effect of group was significant, F (1, 42) = 5.83, p =.020. This suggests that VO₂ Max levels in groups were significantly different. These results indicate that group membership significantly influenced VO₂ Max changes across measurements (pre and post intervention). Figure 7 illustrates the distribution of VO₂ Max (ml/min/kg) before and after the intervention for both groups, highlighting the changes in aerobic capacity over time and the differing effects of the intervention on the control and experimental groups. 4. Discussion The study explored whether an innovative training approach encompassing aerobic and acrobatic exercises can effectively enhance young soccer’s' VO₂ Max, thus significantly impacting their athletic performances. Based on the results, there is considerable support to ground that such training, in fact, enhances endurance capacity beyond what can be typically achieved with regular soccer conditioning. In fact, at baseline, control and experimental groups were statistically not different in their VO₂ Max values. This therefore, means that differences at the start did not obscure findings. After training, the experimental group increased in VO₂ Max highly over the control group, thus confirming the hypothesis that the combined aerobic and acrobatic trainings have positive effects on endurance and athletic performance. These findings are in agreement with previous studies that have established the role of structured aerobic training in soccer. Indeed, earlier studies have documented that high-intensity interval training improves endurance and repeated sprint ability, while agility-based exercises enhance balance and lower-body power. The findings of this study confirm the notion that soccer training programs should combine aerobic drills with acrobatic elements to maximize endurance and agility. 5. Conclusion These results indicate a significant effect of group membership on VO2 Max and a strong interaction between VO2 Max and group. This suggests that the experimental condition significantly influenced VO2 Max changes over time. Practical implications of these findings are of practical interest for the soccer coaches, trainers, and sports scientists. Soccer conditioning training in the form of combined aerobic and acrobatic training can be highly valuable in trying to develop physiological performance and endurance in soccer players. Monitored VO₂ Max can enable tracking of training effectiveness and adjustments in individual conditioning programs accordingly. Further, the described training modes can be widely applied to all age groups of soccer’s who compete at different levels to ensure continuous overload and to maintain athletic advancement. Despite the fact that this study produced numerous noteworthy findings, it is necessary to note a number of limitations. For instance, the generality of this result is limited to just 44 subjects. Multiple teams or clubs may be included in a larger sample to confirm how these techniques might work on a broader scale. Furthermore, additional research on long-term aerobic and acrobatic training interventions across seasons is necessary, even though this study focused on short-term physiological changes. Lastly, individual variability in response to training was not considered, which presupposes the genetic predisposition or training history that may affect the magnitude of improvement in VO₂ Max. 1472 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 2: 1463-1472, 2025 DOI: 10.55214/25768484.v9i2.4779 © 2025 by the authors; licensee Learning Gate Transparency: The authors confirm that the manuscript is an honest, accurate, and transparent account of the study; that no vital features of the study have been omitted; and that any discrepancies from the study as planned have been explained. This study followed all ethical practices during writing. Acknowledgement: This research was performed in the frame of the doctoral study at the Sports University of Tirana. I would like to thank my academic advisors, colleagues, and all participants who contributed to this study. Special thanks go to the young soccer players who have dedicated their time and effort to this research, and also the coaching staff for their collaboration. I would like to thank the university's research department for all the facilities needed in conducting this study. Copyright: © 2025 by the authors. This open-access article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). References [1] T. Modric, S. Versic, and D. Sekulic, "Aerobic fitness and game performance indicators in professional football players; playing position specifics and associations," Heliyon, vol. 6, no. 11, p. e05427, 2020. https://doi.org/10.1016/j.heliyon.2020.e05427 [2] O. Mulazimoglu, Y. A. Afyon, and A. Y. Keser, "A comparison of three different shuttle run tests for the prediction of Vo2 max," International Journal of Physical Education Sports and Health, vol. 5, pp. 112-117, 2018. [3] I. 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