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PLOS One logoLink to PLOS One
. 2024 Jun 21;19(6):e0305245. doi: 10.1371/journal.pone.0305245

The effect of core stability training on ball-kicking velocity, sprint speed, and agility in adolescent male football players

Ceyda Sofuoğlu 1,*,#, Zehra Güçhan Topçu 2, Volga Bayrakcı Tunay 3,#
Editor: Holakoo Mohsenifar4
PMCID: PMC11192401  PMID: 38905315

Abstract

This study was conducted to investigate the effect of core stability training program on ball-kicking velocity, running speed, and agility in adolescent male football players. To this end, 36 male football players aged 12–14 were divided into the training group and control group. Before implementing the core stability training program, participants’ ball-kicking velocity, sprint speed, and agility performance were measured with a Bushnell velocity radar gun, 20 m sprint test, and 505 agility test, respectively, in both training group and control group. After the measurements, the training group followed core stability training program three days a week, for eight weeks in addition to the routine training program, while the control group followed the routine training program only. Ball-kicking velocity, sprint speed, and agility performance were re-measured in both groups after the completion of the core stability training program. Significant improvements were detected in all parameters, i.e., ball-kicking velocity, sprint speed, and agility performance in the training group (p<0.05). On the other hand, in the control group, no significant change was detected in the ball-kicking velocity and sprint speed (p>0.05), whereas a significant improvement was observed in agility performance (p<0.05). Inter-group comparisons revealed statistically significant differences between the groups in ball-kicking velocity and sprint speed in favor of the training group (p<0.05), while no significant difference was found between the groups in agility performance (p>0.05). In conclusion, this study’s findings suggest that core stability exercises can be incorporated into the routine training program of adolescent male football players.

Introduction

Football is a game based on muscular performance, requiring the player to perform repetitive and high-intensity movements such as sudden acceleration and deceleration, changing direction, jumping, and landing [1]. It involves intermittent physical activities necessitating intense running in different directions during the game. Although football mainly involves running, explosive moves such as sprinting, jumping, and kicking the ball are required [1,2].

In adolescent football players, overuse injuries occur at a rate of 10–40%. The majority (60–90%) of injuries are observed in the lower extremity, including the ankle and thigh. The most common types of injuries are strains, sprains, and contusions [3,4]. Approximately 40%–60% of injuries occur due to contact with another player or object during the game [5]. Consequently, adolescents have an increased risk of injury from repetitive mechanical stress [6].

The core muscle group is defined as a muscle corset consisting of the abdominals in the front, the erector spinae and gluteals in the back, the diaphragm as the roof, and the pelvic floor and hip girdle muscles at the bottom [7]. These muscles collectively support the spine and trunk during upper and lower extremity movements such as jumping, throwing, running, and kicking the ball [8]. Kibler [9] explains core stability based on the principle of ‘‘proximal stability for distal mobility.” According to this principle, optimal transfer and control of power and movement transmitted to the distal segments during sports activities are achievable through the ability to control the position and movement of the trunk on the lower extremities and pelvis [9]. Brown [7] adds that core stability is achieved through the dynamic restriction provided by the core muscles and the passive stiffness contributed by the vertebrae, fascia, and ligaments [11]. Panjabi [10] further notes that, in addition to bone, ligament, and muscle structures, the central nervous system also plays a role in contributing to core stability by providing neuromuscular control [10].

Training the core muscles is expected to enhance athletic performance and reduce injuries [9,11]. Studies indicate that disorders in core muscle strength and endurance, proprioception, and neuromuscular control of core muscles, which can affect core stability, are important risk factors in the development of lower extremity injuries [12,13]. The effect of core stability training (CST) on athletic performance has been and continues to be studied. Previous studies revealed that a CST program increased some parameters of general performance and sport-specific performance in badminton, handball, baseball, basketball, football, swimming, tennis, rhythmic gymnastics, and modern dance [1423].

Although many studies in the literature investigate the effect of core exercise training on performance, only a few studies look into the effects of a CST program in adolescent football players [3,12]. We hypothesized that core stability exercises would improve ball-kicking velocity, sprint speed, and agility in adolescent male football players.

Methods

Experimental approach to the problem

The minimum number of participants required for a study power of 0.95 and alpha error 0.05 was determined using G Power 3.0.10 G Software for Windows (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). The results revealed that 36 players are needed. To evaluate the effect of CST, 45 adolescent male football players who were on a similar training program, met the study criteria, and whose legal guardians signed the informed consent form were divided into the training group (TG) (n = 23) and control group (CG) (n = 22) (Fig 1). The TG followed the CST program three days a week for 8 weeks in addition to the routine training program, while the CG followed the routine training program only. The participants’ ball-kicking velocity, sprint speed, and agility performances were evaluated by the same physiotherapist before training and eight weeks after training. Measurements data were collected at the beginning of the study and after the completion of the 8 weeks CST program. October 1, 2021 pre-study measurements were completed. CST program was implemented between the dates October 2, 2021- November 27, 2021. November 29, 2021 post-study measurements were repeated.

Fig 1. Flowchart of the study.

Fig 1

Subjects

The protocol of this study was approved by the Eastern Mediterranean University Health Ethics Subcommittee Presidency prior to the conduct of the study. The study population consisted of male adolescent football players aged between 12–14, playing football at the youth setup of a football academy. The study inclusion criteria were determined as not having any pain complaints involving the lower extremities and spine, should had no surgery before of the study, not having a pathological condition, and participating regularly in training. On the other hand, the study exclusion criteria were determined as having taken a break from sports, not having participated in training more than three times, and having difficulty following exercise programs.

Measurements

Ball-kicking velocity test

Kicking velocity was measured using a Bushnell velocity radar gun (Bushnell Performance Optics, Overland Park, KS, US) [24]. To this end, the ball was placed at a distance of 15 m from the goal. The tripod support of the velocity radar gun was set at a height of 1.22 m from the ground and kept 1 m behind the goal. The participants were asked to run from a distance of 5 m and kick the ball with maximum force. A test kick was made, followed by three kicks. The average of these three kicks was recorded in km/h. In accordance with the International Federation of Association Football (FIFA) standards, 12-to-13-year-olds made the kicks with a number 4 soccer ball, and 14-year-olds made the kicks with a number 5 soccer ball [25,26]. Radar guns are a common tool both in practical use and scientific research due to their high accuracy (ICC> 0.94) [27,28].

Sprint speed test

Sprint speed was measured via the 20 m sprint test. To this end, the participants were asked to start the sprint run 50 cm behind the starting line, and the time to complete 20 m was recorded in seconds. Sprint test was conducted using a stopwatch. The reliability of 20 m sprint test among U12 (ICC = 0.73), U13 (ICC = 0.90) and U14 (ICC = 0.83) has been demonstrated [29].

Agility test

Agility performance was measured with the 505 agility test developed by Draper and Lancaster in 1985. To this end, the participants were first asked to complete a 10 m approach run, followed by moving back a distance of 5 m, making a 180° turn, and returning. The time it took for the participants to cover the said 5 m distance back and forth was recorded in seconds. Agility test was conducted using a stopwatch. The reliability of 505 agility test among U12 (ICC = 0.57), U13 (ICC = 0.91) and U14 (ICC = 0.89) has been demonstrated [29].

Training program

Following the completion of performance assessment measurements, an exercise diary was created to track participants’ attendance in the study. Subsequently, the TG followed the CST program in addition to the routine training program during the season for eight weeks, three days a week, under the supervision of the same physiotherapist. The program was implemented in three phases. Accordingly, phases 1, 2 and 3 were implemented between 1st–3rd, 3rd–5th, and 5th–8th weeks, respectively. Before the initiation of the program, transversus abdominis muscle and multifidus muscle contraction were explained and checked by palpation to enhance motor control, endurance, and kinesthetic awareness. This was followed by four sessions of individual training, including instructions on maintaining a neutral spine position, abdominal hallowing, and abdominal bracing techniques, utilizing a pressure biofeedback device. Ankle weights, dumbbells, resistance bands, and physio balls were incorporated into the program. The exercise equipments’ used by participants were determined by verbally asking them about the weights they could lift ten times in a row without difficulty. Exercise intensity progressively increased every phases. From week 1–3 exercises were repeated 15 times, 1 set. From week 3–5 exercises were repeated 12 times, 2 sets. From week 5–8 exercises were repeated 10 times, 3 sets. The rest period between sets was one minute in all training phases. The exercise program content was changed every phases; thus, duration of the sessions was initially 40 minutes and increased to 60 minutes in the following weeks. Warm-up exercises were performed for 10 minutes before each session, and a 10-minute cool-down program was applied at the end of each session. The details of the CST program are outlined in Table 1.

Table 1. Core stability training program.

Core Stability Exercises Phase 1 (1–3 Weeks)
1- Supine abdominal draw in with knee to chest X15, 1 set
2- Supine abdominal draw in with heel side X15, 1 set
3- Supine abdominal draw in with double knee to chest X15, 1 set
4- Supine twist with abdominal drawing X15, 1 set
5- Side lying clam exercise X15, 1 set
6- Side lying leg-arm ipsilateral abduction X15, 1 set
7- Side bridging on elbow hold 10 seconds X15, 1 set
8- Prone position superman hold 10 seconds X15, 1 set
9- Prone position alternate superman hold 5 seconds X15, 1 set
10- Quadruped position abdominal drawing hold 5 seconds X15, 1 set
11- Quadruped alternate arm and leg lift X15, 1 set
12- Quadruped knee lifts hold 5 seconds X15, 1 set
13- Prone plank on feet hold 5 seconds X15, 1 set
14- Supine bridge with arms at side hold 5 seconds X15, 1 set
15- Supine bridge with arms across chest hold 5 seconds X15, 1 set
16- Supine bridge with knee extension hold 5 seconds X15, 1 set
17- Supine bridge with single leg marching (hip and knee bent to 90 degrees) hold 5 seconds X15, 1 set
18- Seated on physioball abdominal drawing hold 5 seconds X15, 1 set
19- Seated on physioball add marching hold 5 seconds X15, 1 set
Core Stability Exercises Phase 2 (3–5 Weeks)
1-Supine dead bugs X12, 2 sets
2-Rolling like a ball hold 2 seconds in starting position X12, 2 sets
3- Side bridge on feet with hip abduction X12, 2 sets
4- Prone bridge on elbows with hip extension X12, 2 sets
5- Prone bridge on hands, start with quadruped knee lift position X12, 2 sets
6- Quadruped alternate arm/leg lifts with cuff and dumbbell weight X12, 2 sets
7- Abdominal crunches on physioball hold 2 seconds X12, 2 sets
8-Abdominal crunches on physioball with rotation hold 2 seconds X12, 2 sets
9- Bridging with heaf on physioball hold 5 seconds X12, 2 sets
10- Supine bridging on physioball hold 5 seconds X12, 2 sets
11- Supine bridging on physioball with arms in 90 degrees’ shoulder flexion and alternate leg lifts X12, 2 sets
12- Straight leg lowering/lifting with physioball between legs X12, 2 sets
13- Physioball decline push-up X12, 2 sets
14- Seated on physioball with leg extension hold 5 seconds X12, 2 sets
Core Stability Exercises Phase 3 (5–8 Weeks)
1- Supine bridge with feet on physioball hold 5 seconds, add alternate knee extension X10, 3 sets
2- Physioball jackknife X10, 3 sets
3- Prone position on physioball catching and throwing a football ball with partner X10, 3 sets
4- Side position on physioball catching and throwing a football ball with partner X10, 3 sets
5- Standing upright position hip flexion, extension, abduction and adduction with elastic resistance band X10, 3 sets
6- Standing upright position catching and throwing a physioball with partner X10, 3 sets
7- At squat position catching and throwing a football ball with partner X10, 3 sets
8- At single leg stance catching and throwing a physioball with partner X10, 3 sets
9- Walking lunges with catching and throwing a football ball X10, 3 sets
10- Simultaning to kick with inside of foot while catching a physioball (elastic resistance band added) X10, 3 sets
11- Simultaning to kick with outside of foot while catching a physioball (elastic resistance band added) X10, 3 sets
12- Simultaning to kick with top of foot while catching a physioball (elastic resistance band added) X10, 3 sets
13- Kicking a football ball inside, outside and top of the foot with partner (elastic resistance band added) X10, 3 sets

Statistical analysis

The descriptive statistics obtained from the collected data were tabulated as mean ± standard deviation or median with minimum and maximum values, depending on the normal distribution characteristics of continuous (numerical) variables. Categorical variables were presented as numbers and percentages. Normal distribution characteristics of numerical variables were assessed using the Shapiro-Wilk, Kolmogorov-Smirnov, and Anderson-Darling tests. In comparisons of two independent groups, the independent samples t-test or Mann-Whitney U test was used for normally and non-normally distributed numerical variables, respectively. For comparisons of two dependent groups, the paired samples t-test was applied. Statistical analyses were conducted using Jamovi project 2.2.5.0 (Jamovi, version 2.2.5.0, 2022, retrieved from https://www.jamovi.org) and JASP 0.16.1 (Jeffreys’ Amazing Statistics Program, version 0.16.1, 2022, retrieved from https://jasp-stats.org) software packages. A probability (p) value of ≤ 0.05 was deemed to indicate statistical significance.

Results

During the study period, four and five participants from the TG and CG groups, respectively, were excluded from the study. Three players from the TG did not participate regularly in CST and one player had an orthopedic injury. Five participants from CG did not participate regularly in routine training program. In the end, 19 and 17 participants completed the study in the TG and CG, respectively (Fig 1). The age, height, weight, body mass index, and sports age data of the participants showed a homogeneous distribution. The distribution of the participants’ demographic characteristics by the TG and CG is given in Table 2.

Table 2. Demographic characteristics data for training and control group.

Training group
(n = 19)
Control group
(n = 17)
Test
statistic
Cohen’s d [95% CI] p-value
Age
13.05 ± 0.78 12.82 ± 0.81 135.500
0.161 [-0.217–0.497] 0.381**
13.00 [12.00–14.00] 13.00 [12.00–14.00]
Sports age
6.11 ± 2.26 5.24 ± 2.39 1.124
0.375 [-0.288–1.033] 0.269*
6.00 [1.00–10.00] 5.00 [2.00–9.00]
Body weight (kg)
54.00 ± 9.71 52.59 ± 8.75 0.451
0.152 [-0.504–0.807] 0.651*
52.00 [38.00–78.00] 51.00 [40.00–70.00]
Height (cm)
161.21 ± 7.76 159.18 ± 9.28 0.716
0.336 [-0.420–0894] 0.479*
162.00 [144.00–176.00] 158.00 [144.00–179.00]
Body mass index (kg/m2)
20.72 ± 3.13 20.72 ± 2.84 156.000
0.193 [-0.394–0.335] 0.862**
18.97 [17.30–28.31] 21.08 [16.42–28.15]

Descriptive statistics were expressed as mean ± standard deviation and median [minimum-maximum].

Test statistic: The numerical outcome of statistical tests comparing the demographic characteristics between the training and control groups.

CI: Confidence Interval.

p-values*: Results of Independent samples t-test.

p-values **: Results of Mann-Whitney u test.

The inter-group comparisons after the completion of the CST program revealed significant differences between the TG and CG. Accordingly, a significant difference was found between the TG and CG in ball-kicking velocity after the completion of the program, in favor of the TG (p = 0.002, d > 1). Similarly, the sprint speed test time was significantly higher in the CG than in the TG after the completion of the program (p = 0.001, d > -1.2). There was a significant difference between the TG and CG in the median percent change in sprint speed, in favor of the CG (p = 0.006). In parallel, the decrease in the time to complete the sprint speed test was significantly higher in the TG than in the CG (-5.56 [-21.03–4.13] sec. vs. -0.71 [-7.19–17.62] sec.). The inter-group comparisons in agility performance parameters did not reveal any statistically significant difference between the groups (p > 0.05). Effect size for time agility was d = -0.51 (CI = [-1.175–0.156]) (Table 3) (Figs 24).

Table 3. Comparison of inter group performance tests before and after the core stability exercise program.

Training group
(n = 19)
Control group
(n = 17)
Test
statistic
Cohen’s d [95% CI] p-value
Ball kicking velocity (km/hour)        
    Before the Program 71.89 ± 16.21 67.71 ± 13.80 121.500 0.248 [-0.129–0.562] 0.204**
78.00 [35.00–92.00] 68.00 [29.00–88.00]
    After the Program 81.05 ± 8.46 69.12 ± 13.04 3.292 1.099 [0.388–1.796] 0.002 *
82.00 [63.00–97.00] 69.00 [32.00–89.00]
    Δ% 7.14 [-8.75–87.50] 4.41 [-14.71–19.61] 100.000 0.381 [0.018–0655] 0.051**
Sprint speed (sec)
    Before the Program 3.86 ± 0.40 3.96 ± 0.25 -0.897 -0.300 [-0.956–0.361] 0.376*
3.78 [3.28–4.81] 4.00 [3.50–4.31]
    After the Program 3.60 ± 0.23 3.95 ± 0.34 -3.706 -1.237 [-1.947 –-0.513] 0.001 *
3.59 [3.09–4.00] 3.94 [3.44–4.94]
    Δ% -5.56 [-21.03–4.13] -0.71 [-7.19–17.62] 74.000 -0.542 [-0.757 –-0.220] 0.006 * **
Agility (sec)
    Before the Program 3.03 ± 0.28 3.03 ± 0.20 -0.017 -0.006 [-0.660–0.649] 0.987*
2.94 [2.66–3.60] 2.96 [2.81–3.53]
    After the Program 2.80 ± 0.28 2.93 ± 0.20 -1.536 -0.513 [-1.175–0.156] 0.134*
2.75 [2.41–3.58] 2.90 [2.68–3.40]
    Δ% -4.82 [-21.94–4.07] -3.68 [-9.37–10.33] 122.000 -0.245 [-0.560–0.133] 0.211**

Descriptive statistics were expressed as mean ± standard deviation and median [minimum-maximum].

Δ%: Percentage difference between two times (positive values indicate increase, negative values indicate decrease).

Test statistic: The numerical outcome of statistical tests comparing the inter group performance tests before and after the program between the training and control groups.

CI: Confidence Interval.

p-values

*: Results of Independent samples t-test.

p-values

**: Results of Mann-Whitney u test.

† Significate difference between training group and control group (p < 0.05).

Fig 2. Ball kicking velocity pre- training and post- training values in TG and CG.

Fig 2

TG = Training group, CG = Control group.

Fig 4. Agility pre- training and post- training values in TG and CG.

Fig 4

TG = Training group, CG = Control group.

Fig 3. Sprint speed pre- training and post- training values in TG and CG.

Fig 3

TG = Training group, CG = Control group.

The intra-group comparisons revealed significantly higher ball-kicking velocity and significantly lower sprint speed and agility test times with large effect sizes in the TG (p = 0.002, d = -0.83; p < 0.001, d = 0.90; p < 0.001, d = 0.95 respectively) (Table 4) (Figs 24).

Table 4. Comparison of performance tests before and after the exercise program in the training group.

  Training group Test
Statistic
Cohen’s d [95% CI] p-value
  Before the Program After the Program
Ball kicking velocity (km/hour)
71.89 ± 16.21 81.05 ± 8.46 -3.637
-0.834 [-1.351 –-0.301] 0.002 *
78.00 [35.00–92.00] 82.00 [63.00–97.00]
Sprint speed (sec)
3.86 ± 0.40 3.60 ± 0.23 3.938
0.903 [0.358–1.431] <0.001 *
3.78 [3.28–4.81] 3.59 [3.09–4.00]
Agility (sec)
3.03 ± 0.28 2.80 ± 0.28 4.148
0.952 [0.397–1.488] <0.001 *
2.94 [2.66–3.60] 2.75 [2.41–3.58]

Descriptive statistics were expressed as mean ± standard deviation and median [minimum-maximum].

Test statistic: The numerical outcome of statistical tests comparing the performance tests before and after the exercise program in the training group.

CI: Confidence Interval.

p-values*: Results of paired samples t-test.

† Significant difference between before and after the program (p < 0.05).

On the other hand, in the CG, no significant change was detected in the ball-kicking velocity and sprint speed (p > 0.05, d = -0.24; p > 0.05, d = 0.02 respectively), whereas a significant improvement was observed in agility performance (p = 0.009, d = 0.71 CI = [0.171–1.242]) (Table 5) (Figs 24).

Table 5. Comparison of performance tests before and after the exercise program in the control group.

  Control group Test
statistic
Cohen’s d [95% CI] p-value
  Before the Program After the Program
Ball kicking velocity (km/hour)
67.71 ± 13.80 69.12 ± 13.04 -0.995
-0.241 [-0.720–0.245] 0.335*
68.00 [29.00–88.00] 69.00 [32.00–89.00]
Sprint speed (sec)
3.96 ± 0.25 3.95 ± 0.34 0.212 0.027 [-0.449–0.502] 0.913*
4.00 [3.50–4.31] 3.94 [3.44–4.94]
Agility (sec)
3.03 ± 0.20 2.93 ± 0.20 2.949
0.715 [0.171–1.242] 0.009 *
2.96 [2.81–3.53] 2.90 [2.68–3.40]

Descriptive statistics were expressed as mean ± standard deviation and median [minimum-maximum].

Test statistic: The numerical outcome of statistical tests comparing the performance tests before and after the exercise program in the control group.

CI: Confidence Interval.

p-values*: Results of paired samples t-test.

† Significant difference between before and after the program (p <0.05).

Discussion

This study aimed to investigate the effects of core stability exercises on ball-kicking velocity, sprint speed, and agility in adolescent male football players. The findings of this study revealed that the implementation of a CST program, in addition to the routine training program during the season, is effective in improving ball-kicking velocity and sprint speed. On the other hand, the CST program did not lead to a significant improvement in agility performance among adolescent male football players. Although these results were generally consistent with previous studies conducted with athletes from different age groups and genders, as well as healthy individuals, they also exhibit some differences in terms of certain sport-specific parameters.

Kicking the ball, an action that engages multiple joints, stands out as one of the most crucial skills in football. The performance of ball-kicking relies on the maximum force and strength exerted by the foot responsible for both kicking the ball and providing support. Additionally, it depends on the coordination between agonist muscles (including vastus lateralis, medialis, rectus femoris, tibialis anterior, iliopsoas) and antagonist muscles (such as gluteus maximus, biceps femoris, and semitendinosus) [30,31]. Wickstorm explains kicking the ball in four phases: (1) the swing phase, where the thigh and shank are withdrawn; (2) the support phase, where hip flexion begins; (3) ball impact, involving knee extension; and (4) the follow-through, where both the hip and knee undergo flexion [25,32]. A review study, encompassing 96 studies on the relationship between ball-kicking velocity and muscle strength, unveiled a significant correlation between maximal isokinetic force and ball-kicking velocity in young football players. Conversely, the analysis of the results from explosive power tests and ball-kicking velocity in young football players did not reveal any significant relationship between maximal strength, explosive strength, and ball-kicking performance. They also found no significant relationship between the results of the 10 m sprint test and ball-kicking velocity. The aforementioned review study concluded that, despite the controversy surrounding the relationship between strength and ball-kicking velocity, incorporating plyometric and explosive strength exercises into the training routine may enhance maximum ball-kicking velocity [33]. Sporis et al. [26] investigated the relationship between ball-kicking velocity and sprint speed with 27 football players with an average age of 15±2.9. They measured ball-kicking speed using a velocity speed gun and running speed through 5, 10, 20, and 30 m sprint tests. In the mentioned study, in contrast to Lorenzo et al.’s [33] study, ball-kicking velocity was found to be significantly related to running speed [26]. In a study examining the relationship between ball-kicking speed and muscle strength, the dominant lower extremity strength of amateur football players was measured with an isokinetic dynamometer at 90° and 240° angular velocities. Consequently, it was demonstrated that participants with greater knee extension concentric strength had significantly higher ball-kicking speeds [34].

In our study, both intra- and inter-group analyses of ball-kicking velocity measurements, conducted with a velocity radar gun, revealed that the CST program significantly improved ball-kicking velocity. The noteworthy improvement in ball-kicking velocity within the TG compared to the CG may be attributed to the increase in muscle strength and postural control ability fostered by the CST program. Similarly, in a randomized controlled study examining the effect of in-season integrative neuromuscular strength training on performance development in early adolescent football players who followed a neuromuscular training program three times a week for eight weeks in addition to the routine training program, in comparison with a CG who only followed the routine training program, Panagoulis et al. [23] found significant improvements in all parameters. These included ball-kicking velocity, 10–20 m sprint speed, jumping performance, and lower extremity muscle strength in the study group [23].

In a review study encompassing 21 studies related to sports where postural stability is essential, including team sports such as football, basketball, and hockey, as well as individual sports such as tennis, running, and cycling, Zemkova et al. [35] investigated whether core stability exercises contribute to improving sport-specific performance. They found that the CST program contributed to significantly improved balanced dynamic visual-motor tasks in football players [35]. The importance of postural control increases due to the intense use of vestibular and proprioceptive information in contact sports. We believe that the increase in ball-kicking velocity detected in the TG after the core stability exercise program is also attributed to dynamic visual-motor development, as demonstrated in the cited study. Barnes et al. [36] stated that runs made during football matches are explosive and cover short distances. They found that 96% and 49% of the runs in football matches were over distances shorter than 30 m and 10 m, respectively. It has been found that the duration of isometric contractions applied in back extension, trunk flexion, and side bridge exercises is related to short-distance sprint and jump performance [36,37]. In a study conducted by Hoskikawa et al. [38], involving 28 male football players aged 12–13, which investigated the effect of a CST program on core muscles and physical performance, the TG followed a core stability exercise program four times a week for six weeks in addition to routine training, whereas the CG followed routine training only. The cross-sectional areas of the core muscles (rectus abdominis/obliques, psoas major, quadratus lumborum, erector spina) were measured using magnetic resonance imaging, and squat and countermovement jump heights were determined. Sprint speed was measured via a 15 m sprint test, and dynamic strength was assessed with an isokinetic dynamometer. Consequently, significant differences were found between the TG and CG in hip extension torque, as well as squat and countermovement jump heights. However, no significant differences were observed in the cross-sectional areas of the core muscles, sprint speed, and hip flexion torque [38].

In comparison, we assessed sprint speed with the 20 m sprint test and identified a statistically significant difference between the TG and CG. We believe that the development of core muscles plays a crucial role in enhancing explosive power. Contrary to our study, Dong et al. [39] reported in their meta-analysis that core exercise training was effective in improving core endurance and balance but not as effective in enhancing sport-specific performance (power, speed, agility, throwing, etc.). Three out of the eight randomized controlled studies included in the meta-analysis were related to football. The period, frequency, and session duration of the core exercise training implemented in these studies ranged from 4 to 12 weeks, 2 to 4 times a week, and 20 to 40 minutes, respectively [39]. We believe that the period and session duration of core exercise training are associated with sport-specific performance parameters. In our study, we initiated the session duration at 40 minutes and extended it to 60 minutes with the transition to the next phase.

In a study evaluating the effect of a specific core exercise program on sprint speed and direction change maneuverability in male football players, Muria and Garrido Gena [15] implemented the core stability exercise program, including football-specific exercises, to the TG, and the standard core stability exercise program to the CG for 20 minutes twice a week for eight weeks. Although they observed more improvement in the TG, they found no significant difference between the groups in sprint speed measured using a 10m sprint test and direction change maneuverability measured using a v-cut test [15]. In a study conducted with elite young football players, Lucano et al. [40] applied a core exercise program to the TG for 20 minutes five times a week for six weeks before the routine training, and a standard warm-up program was applied to the CG. They assessed maximal quadriceps and hamstring muscle performance with an isokinetic dynamometer and jumping performance with a single-leg vertical countermovement jumps test. Consequently, they found a significant increase in the knee extensors’ peak torque and knee flexors’ peak torque values in the study group, and an improvement in jumping performance in both groups [40]. We believe that the session duration may have played a role in the comparisons between the TG and CG in the aforementioned studies. A similar opinion was expressed by Seaterbakken et al. [41] in their systematic review study. They stated that training aimed at core muscles could increase lower extremity muscle strength, linear running speed, and direction change/agility performance in young people and adults if applied for more than 18 sessions but less than or equal to 30 minutes. However, to achieve sport-specific performance improvement, this training should be applied for more >30 minutes twice a week. They also stated that there is a need to investigate the effects of different CST programs on sport-specific parameters and physical performance [41].

Doğanay et al. [42] investigated the effects of core exercise training, administered for 35 minutes thrice a week over eight weeks, on running speed, quickness, and agility in U19 male football players. These parameters were measured using the 40 m sprint test, hexagon test, and agility t-test, respectively. Consequently, they observed significant differences between the TG and CG in agility and quickness, but not in sprint speed [42]. In contrast, our study detected significant improvements in ball-kicking velocity and sprint speed, while agility did not show a significant enhancement in adolescent football players. Some studies have speculated that an increase in power, strength, speed, and overall performance may be achieved primarily through participation in football training during the adolescent and preadolescent period [43,44]. In one study in the literature, arguing the opposite perspective, Schilling et al. [45] applied a core strength and endurance training program on 10 college students who did not participate in sports activities. The program was conducted twice a week for six weeks. Significant changes were observed in back extensor endurance, flexor endurance, and lateral musculature endurance values after the completion of the training program. However, no significant improvements were found in sprint speed, agility, and vertical jump performances. As a result, the researchers concluded that standalone strength training does not enhance performance parameters [45]. Similarly, Nesser and Lee [46] asserted that core strengthening does not lead to improvements in sports performance parameters such as agility and running [46].

Agility is defined as the ability to move the body between two points and change direction as easily, quickly, fluently, and controlled as possible, with balance, speed, strength, and nerve-muscle coordination [47]. We measured physical component of agility performance using the 505 agility test. While intra-group evaluations revealed significant changes in agility in both the TG and CG, inter-group comparisons showed no significant differences between the groups. We attribute the increase in agility in both the TG and CG to the fact that the study was carried out during the season, and both groups followed routine training. Additionally, we believe that the reason the study group did not show superiority to the control group in agility performance is related to the absence of agility training specific to football in the CST program.

As a matter of fact, studies conducted in other sports have yielded varied results regarding the impact of core exercises on sport-specific parameters. In one such study examining the effects of core strengthening training on physical and athletic performance in elite handball players, significant improvements were observed in physical components, but not in handball-specific athletic performance [14]. Similarly, a study investigating the effects of core exercises on functional movement patterns in adult tennis players reported significant changes in all functional movement screen test results [48]. Lust et al. [49] also found that a six-week training program, combining open and closed kinetic chain plyometric exercises with core stability exercises, improved core endurance in baseball athletes [49]. Özmen et al. [22] investigated the effect of CST program applied twice a week for six weeks on dynamic balance and agility in adolescent badminton players with a mean age of 10±0.3 years. They measured dynamic balance using the Star Excursion Balance test and agility with the Illinois agility test. Consequently, they observed a significant improvement in dynamic balance in the TG compared to the CG, which followed routine training. On the other hand, they found that agility increased in both groups, but there was no significant difference between the groups [22]. Athletes generally participate in high-intensity training programs along with a core stability program. Therefore, it is challenging to investigate the effect of a core stability exercise program on performance independently from other training.

Studies conducted in various sports on the effect of CST on sports performance have yielded inconsistent results. The findings of this study indicated that an eight-week core stability exercise program, in addition to routine training, led to improvements in ball-kicking velocity and sprint speed in adolescent male soccer players. However, as no significant difference was observed between the TG and CG in agility performance, we recommend incorporating agility-style exercises into the CST program and extending the program duration for more substantial benefits.

Limitations

There are several limitations to our study. Firstly, only performance-oriented tests were used for evaluation. The results could have been interpreted more effectively if core strength tests were applied in conjunction with the performance tests. Secondly, adding a new training to the routine program may have increased the load in CST group. Thirdly, the study was conducted during a period when the participants were receiving distance education due to the coronavirus 2019 (COVID-19) measures and were leaving their homes almost exclusively for football training. Control and focus, which are essential for exercise efficiency, are employed during the performance of core exercises. Throughout the study period, it was noted that participants encountered challenges in adaptation attributed to psychosocial factors. Consequently, the application of the study during a period when participants were subjected to pandemic-related restrictions may have influenced the results.

In future research, our intention is to explore the effects of core exercises on injury incidence among adolescent football players and their recovery performance during the rehabilitation period following an injury.

Practical applications

The study’s findings suggest that an 8-week CST program enhanced ball-kicking velocity, sprint speed, and agility performance in adolescent male soccer players. Due to its practicality in the field, affordability of associated equipment costs, and adaptability to routine training programs, we recommend the CST program to football coaches and individuals professionally engaged in football to enhance their performance.

Supporting information

S1 Data

(XLSX)

pone.0305245.s001.xlsx (11.9KB, xlsx)

Acknowledgments

The authors gratefully acknowledge the contribution of the participants in this study.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Ersan Arslan

20 Feb 2024

PONE-D-24-02297The effect of core stability training on ball-kicking velocity, sprint speed, and agility in adolescent male football playersPLOS ONE

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Reviewer #1: General comments to Authors:

The manuscript provides additional information on the core stability topic and extended data on the use of a proper training in adolescent football players. These aspects make the study interesting and partially original. However, the manuscript presents some weakness that should be acknowledged.

Here below some specific comments to Authors:

Abstract…

Intro

Line 54: “most popular sport today” should be view in a more conservative way. Change it please unless the authors provide some world-wide data on this. Please also consider to remove the first sentence that do not add information to the logical flow of the paragraph.

Line 57: It is well-know which actions encompass the football performance; however, a reference is needed.

Line 59-61: please rephrase it for clarity.

Line 72: please add a ref.

Line 80: check the citation format.

Lines 101-102: please rephrase for clarity. Consider changing the future tense to past. This should be arranged as a hypothesis formulation.

M&M

Line 107: any sample size calculation? I guess the recruited number might be sufficient but a priori computation would desirable.

Table 1: provide a description of “p” and “test statistics”. Check for the Journal’s table guidelines.

Line 150: Was the sprint speed assessed by the radar gun? Please specify it.

It should appropriate reporting the individual test reliability.

Line 171: “materials”?? perhaps not the appropriate one

Line 173: be more specific about how the session volume increased during the experimental period. Changes in the exercise duration? Number of reps? throughout that period.

Could the authors please clarify whether the core stability training was added to the routine, thus doing more work by CST group compared to the others??

Line 185: which variables were not normally distributed?

Line 189: please check for the website address. Is that the right one?

Table 2 & 3, 4 & 5: again check for the Journals’ table guidelines

Discussion

Line 230: is there any methodological issue? In my opinion adding a new training to the routine would increase the load, and consequently resulting more stimulating. This would change the way the discussion was written.

Line 258: check for the cit format

Line 274: the number of participants and their age (as they are reported) are not necessary information.

Line 291-293: please explain the link of the two sentences

Line 360: “physical component of agility” instead of “agility” itself

Line 395: this is not a limitation. I believe that the main limitation is the additional work linked to the CST group. Please clarify it whether or not this might have impacted on the study results.

Reviewer #2: • Too long introduction. Delete unnecessary sentences that has no direct relation with the topic.

• Lines 63 and 68 are not necessary and can be deleted.

• Lines 70 – 87: having 17 lines is too much for explaining your point of view.

• Line 126: If participants have experienced any other type of surgery was that okay to attend the study? if not just say they should had no surgery before of the study. Why did you mention a specific surgery?

• Line 129 -131 Why those specific participants did not meet the inclusion criteria anymore and they were taken out from the study?

• lines 268 and 272 is a repeating of lines 265 and 267.

• Please report the validity and reliability of the measurement tests that have been used to assess the outcomes of the present study.

• How was the workload management of the training program? Please explain regarding the intensity, time, or frequency?

• Why different types of methods including Shapiro-Wilk, Kolmogorov-Smirnov, and Anderson-Darling tests were used to determine the Normal distribution characteristics of numerical variables?

• Authors could use Analysis of covariance to control the effect of pre test data.

• I, personally, prefer to see part of the results in figures format. It is not an issue, but if it is possible try to show some parts of results in a figure rather than only having table.

• Please report your results in the format of APA style. Also please report effect size and confidence interval of the mean in the results section.

• Line 395: I do not think if your participants were not being elite is a limitation of this study.

• Conclusions are presented in an appropriate fashion and are supported by the data.

Reviewer #3: Dear authors,

Thank you for the effort you put into your research. I enjoyed reading the research. After a few minor verifications below, your research is suitable for publication.

best

-Please add the main hypothesis at the end of the introduction.

-If possible, add a flowchart to the method section to explain the research process more succinctly.

**********

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Reviewer #2: No

Reviewer #3: No

**********

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PLoS One. 2024 Jun 21;19(6):e0305245. doi: 10.1371/journal.pone.0305245.r002

Author response to Decision Letter 0


23 Mar 2024

Dear respected editor/ reviewers,

Thank you so much for your great eyes to our work and highlighting those important points. We believe that the points you have raised would greatly enhance the quality of the manuscript. Thus, we tried to follow them in full and revise the manuscript accordingly. The changes we made based on your comments are highlighted in yellow (Reviewer#1), in green (Reviewer#2) and in red (Reviewer#3) throughout the manuscript.

Reviewer #1: General comments to Authors:

The manuscript provides additional information on the core stability topic and extended data on the use of a proper training in adolescent football players. These aspects make the study interesting and partially original. However, the manuscript presents some weakness that should be acknowledged.

Response: Dear Reviewer, we thank you so much for your positive review and for the positive and useful comments. The changes we made based on your comments are highlighted in yellow.

Comment 1: Line 54: “most popular sport today” should be view in a more conservative way. Change it please unless the authors provide some world-wide data on this. Please also consider to remove the first sentence that do not add information to the logical flow of the paragraph.

Response: Thank you very much. We removed the related sentence.

Comment 2: Line 57: It is well-know which actions encompass the football performance; however, a reference is needed.

Response: Thank you. We added a reference.

Comment 3: Line 59-61: please rephrase it for clarity.

Response: Thank you. We revised the sentence accordingly.

Comment 4: Line 72: please add a ref.

Response: Thank you. We added a reference.

Comment 5: Line 80: check the citation format.

Response: Thank you so much. We checked the citiation format and revised as suitable.

Comment 6: Lines 101-102: please rephrase for clarity. Consider changing the future tense to past. This should be arranged as a hypothesis formulation.

Response: Thank you for your comment. We corrected with a sentence which is explaining the hypothesis of the study.

Comment 7: Line 107: any sample size calculation? I guess the recruited number might be sufficient but a priori computation would desirable.Table 1: provide a description of “p” and “test statistics”. Check for the Journal’s table guidelines.

Response: Thank you. Yes we have a sample size calculation. We added a sentence to explain the sample size. We checked for the table guideleines and corrected it as appropriate. Table 1: Test statistic refers to the numerical outcome of statistical tests comparing the demographic characteristics between the training and control groups. Higher values indicate more pronounced differences between groups, interpreted alongside p-values and effect size measures like Cohen's d for comprehensive understanding.

Comment 8: Line 150: Was the sprint speed assessed by the radar gun? Please specify it.

It should appropriate reporting the individual test reliability.

Response: Thank you for your comment. The sprint speed was assessed using a stopwatch. We added the test reliability to the text.

Comment 9: Line 171: “materials”?? perhaps not the appropriate one

Response: Thank you so much. We change the word with‚“exercise equipments‘ ”

Comment 10: Line 173: be more specific about how the session volume increased during the experimental period. Changes in the exercise duration? Number of reps? throughout that period.

Response: Thank you for your comment. We revised accordingly.

Comment 11: Could the authors please clarify whether the core stability training was added to the routine, thus doing more work by CST group compared to the others??

Response: Thank you for your comment. Yes, CST group continued to routine exercise program. Participating regularly in routine training were determined in the inclusion criteria of the study. You are right CST group did more work. But if we have applied only CST to TG and routine football training program to CG it would be difficult to compare the effects of CST.

Comment 12: Line 185: which variables were not normally distributed?

Response: Upon detailed examination of the dataset, we found that the distributions of sprint speed and agility test times deviated from normality. These variables demonstrated skewness and kurtosis beyond the acceptable range for normal distribution, as indicated by the Shapiro-Wilk, Kolmogorov-Smirnov, and Anderson-Darling tests. Therefore, to ensure the accuracy and reliability of our findings, we chose to use non-parametric statistical methods for the analyses involving these variables. Specifically, we employed the Independent Samples T-Test* and the Mann-Whitney U test** for our analyses, as noted clearly under the tables presenting our results. If there is any confusion regarding the application or reporting of these tests, we are prepared to make the necessary adjustments to clarify our methods further.

Comment 13: Line 189: please check for the website address. Is that the right one?

Response: We appreciate your attention to detail. Upon review, we confirmed that the website address provided is accurate and directs to the intended resource. We ensured the link was operational and contained relevant information to the context in which it was cited.

Comment 14: Table 2 & 3, 4 & 5: again check for the Journals’ table guidelines

Response: Thank you so much. We checked the Journals’ table guidelines and corrected accordingly.

Comment 15: Line 230: is there any methodological issue? In my opinion adding a new training to the routine would increase the load, and consequently resulting more stimulating. This would change the way the discussion was written.

Response: Thank you for your comment. Firstly, participants routine training program was not the intensive one. If they had a intensive football training program we could change the method of the study. Secondly, participating regularly in routine training were determined in the inclusion criteria of the study. On the other hand, ıf we have applied only core stability exercises to training group and routine training program to control group it would be difficult to compare the effects of core stability exercise program.

Comment 16: Line 258: check for the cit format

Response: Thank you so much. We checked the citiation format and revised as suitable.

Comment 17: Line 274: the number of participants and their age (as they are reported) are not necessary information.

Response: Thank you. We removed the related sentences.

Comment 18: Line 291-293: please explain the link of the two sentences

Response: Thank you for your comment. We revised accordingly.

Comment 19: Line 360: “physical component of agility” instead of “agility” itself

Response: Thank you so much. We change the word with‚“physical component of agility”

Comment 20: Line 395: this is not a limitation. I believe that the main limitation is the additional work linked to the CST group. Please clarify it whether or not this might have impacted on the study results.

Response: We agree with you about participants were not being elite is a limitation of this study. Thank you for your comment. We thought that, adding core stability training program to the routine training program was not impact the study results. The participants routine training program was not intensive. They had strength and power training twice a week, 40 minutes. Technical training was being mainly done.

Reviewer #2:

Dear Reviewer, we thank you very much for your positive feedback on our work and for the detailed, supportive and constructive comments. The changes we made based on your comments are highlighted in green.

Comment 1: Too long introduction. Delete unnecessary sentences that has no direct relation with the topic.

Response: Thank you for your comment. We revised accordingly.

Comment 2: Lines 63 and 68 are not necessary and can be deleted.

Response: Thank you. We removed accordingly.

Comment 3: Lines 70 – 87: having 17 lines is too much for explaining your point of view.

Response: Thank you so much. We removed some sentences and revised as appropriate.

Comment 4: Line 126: If participants have experienced any other type of surgery was that okay to attend the study? if not just say they should had no surgery before of the study. Why did you mention a specific surgery?

Response: Thank you. We revised the sentence as you advice.

Comment 5: Line 129 -131 Why those specific participants did not meet the inclusion criteria anymore and they were taken out from the study?

Response: Thank you so much. We explained the reason of discontinue for that participants in results section in regard to the APA style.

Comment 6: lines 268 and 272 is a repeating of lines 265 and 267.

Response: Thank you for your comment. We revised accordingly.

Comment 7: Please report the validity and reliability of the measurement tests that have been used to assess the outcomes of the present study.

Response: Thank you. We added the validity and reliability of the measurement tests.

Comment 8: How was the workload management of the training program? Please explain regarding the intensity, time, or frequency?

Response: Thank you so much. We revised it in training program section.

Comment 9: Why different types of methods including Shapiro-Wilk, Kolmogorov-Smirnov, and Anderson-Darling tests were used to determine the Normal distribution characteristics of numerical variables?

Response: In our statistical analysis, we chose to apply a combination of Shapiro-Wilk, Kolmogorov-Smirnov, and Anderson-Darling tests to assess the normality of our data, acknowledging the nuanced differences each test presents in sensitivity and specificity across varying sample sizes and data distributions. Our rationale was rooted in a methodical approach to thoroughly scrutinize the data's adherence to normal distribution assumptions, which is critical for selecting the most suitable statistical methods for our analyses. The Shapiro-Wilk test is renowned for its reliability in small sample sizes, providing precise assessments of normality. Conversely, the Kolmogorov-Smirnov test offers a broader application, suitable for any sample size, and is particularly adept at identifying deviations from normality across the entire distribution range. The Anderson-Darling test further complements these analyses by placing more emphasis on the tails of the distribution, where deviations from normality are often most pronounced. By employing this comprehensive suite of normality tests, our aim was to mitigate the risk of incorrect statistical inferences that could arise from unacknowledged deviations from normality. This multi-faceted approach ensures the robustness of our findings, affirming that the selection of subsequent statistical tests for our data analysis is firmly grounded in a thorough evaluation of our dataset's distribution characteristics.

Comment 10: Authors could use Analysis of covariance to control the effect of pre test data.

Response: Thank you for your suggestion regarding the use of Analysis of Covariance (ANCOVA) to control for pre-test data effects. In our study, we conducted both within-group and between-group comparisons using the Independent Samples T-Test and the Mann-Whitney U test for normally and non-normally distributed variables, respectively. The decision to not initially use ANCOVA stemmed from our statistical strategy to directly compare the changes from pre- to post-intervention within each group and between groups without adjusting for covariates. We carefully considered which variable could serve as a covariate in an ANCOVA model; however, given our analytical approach and the design of our study, we focused on direct comparisons to assess the effect of core stability training. Our analyses were aimed at evaluating the impact of the intervention on ball-kicking velocity, sprint speed, and agility both within groups (using the Paired Samples T-Test) and between groups without employing pre-test scores as covariates. We believe our methodological choices were suitable for the objectives of our study. Nonetheless, we acknowledge the potential value of ANCOVA in controlling for baseline differences and are open to exploring this in future research to further refine our understanding of the intervention's effects.

Comment 11: I, personally, prefer to see part of the results in figures format. It is not an issue, but if it is possible try to show some parts of results in a figure rather than only having table.

Response: Thank you. We revised and added the results in figures format.

Comment 12: Please report your results in the format of APA style. Also please report effect size and confidence interval of the mean in the results section.

Response: Thank you for your comment. We have revised the results section to adhere to the APA style guidelines. This includes formatting our findings with appropriate statistical notation and reporting both effect sizes and confidence intervals for the mean differences observed. By providing effect sizes, we aim to convey the magnitude of the core stability training program's impact on ball-kicking velocity, sprint speed, and agility. Additionally, including confidence intervals offers insights into the precision of our estimates, thereby enhancing the interpretability and robustness of our results.

Comment 13: Line 395: I do not think if your participants were not being elite is a limitation of this study.

Response: Thank you. We revised according your advice.

Comment 14: Conclusions are presented in an appropriate fashion and are supported by the data.

Response: We thank you so much for your positive review.

Reviewer#3:

Dear authors, Thank you for the effort you put into your research. I enjoyed reading the research. After a few minor verifications below, your research is suitable for publication.

Response: Dear Reviewer, we thank you very much for your positive feedback on our work and constructive comments. They are very helpful to improve the manuscript’s quality. The changes based on your comments are highlighted in red.

Comment 1: Please add the main hypothesis at the end of the introduction.

Response: Thank you for your comment. We revised accordingly.

Comment 2: If possible, add a flowchart to the method section to explain the research process more succinctly.

Response: Thank you so much. We added a flowchart.

Attachment

Submitted filename: Response to Reviewers.docx

pone.0305245.s002.docx (22.6KB, docx)

Decision Letter 1

Holakoo Mohsenifar

28 May 2024

The effect of core stability training on ball-kicking velocity, sprint speed, and agility in adolescent male football players

PONE-D-24-02297R1

Dear Dr.Ceyda Sofuoğlu,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Holakoo Mohsenifar

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #3: Yes

**********

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The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #3: Yes

**********

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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors have addressed all the comments supporting their reasons with an appropriate scientific soundness.

Reviewer #3: Dear Author,

Your manuscript is ready for publish. Thank younso much for your effor. Congeulatşons

Best

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #3: No

**********

Acceptance letter

Holakoo Mohsenifar

30 May 2024

PONE-D-24-02297R1

PLOS ONE

Dear Dr. Sofuoğlu,

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on behalf of

Dr. Holakoo Mohsenifar

Academic Editor

PLOS ONE

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    pone.0305245.s002.docx (22.6KB, docx)

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