1. Introduction
The physical and tactical training of the military is designed to maximize operational performance capacity [
1]. Military training also includes close combat, including martial arts and combat sports techniques. Combat sports or martial arts often emphasize the importance of physical strength, speed, and technique [
2,
3,
4]. The efficiency of combat moves, such as punches, kicks, and jumps, is a matter of skill but can also be related to the athlete's body composition [
5,
6,
7,
8]. Based on this knowledge, researchers have developed an interest in how body composition and somatotype influence the efficacy of these movements [
5,
9,
10]. It is also known that enhancing the striking force of combat sports athletes involves effectively utilizing their body mass; this enhancement can refine movement techniques and consequently boost combat efficiency [
11]. Existing studies primarily focus on the differences in subjects' weight, body composition, and somatotype estimates. Therefore, this study aimed to explore how the striking arm mass (SAM) and kicking leg mass (KLM) affect the peak force, impact force, and impulse of direct punches (DP), palm strikes (PS), elbow strikes (ES), and front kicks (FK).
Previous research has demonstrated that maximal strength training and acceleration strength training can enhance kicking and fighting ability [
12,
13,
14,
15] and the higher acceleration of the lower body limbs was associated with a higher performance level in combat sports [
13,
16,
17,
18,
19,
20,
21]. The ability to transition quickly from the eccentric to the concentric phase of muscle action is especially vital in executing combat moves, kicks, and jumps [
22]. However, to evaluate the level of strength capabilities, regular, accurate, and reliable monitoring and testing are essential [
23]. Countermovement jump (CMJ) testing is one of the most valid and frequent protocols for quantifying lower limb acceleration strength [
18]. Therefore, this study also investigates the relationship between the CMJ, the kicking leg mass, and the dynamic forces of FK.
Studies dealing with analyzing the effectiveness of punches and kicks are based on Newton's laws of motion. According to Newton's Second Law, the force is directly proportional to its mass and acceleration. In combat sports, this principle suggests the relationship between the mass and the dynamic forces of the strike. Therefore, previous studies have explored the dynamic forces of punches and kicks [
24,
25,
26,
27,
28,
29,
30]. Additionally, some studies have demonstrated that dynamic forces like peak or impact force within the kicks partially depend on a subject's mass [
6,
7,
8,
31]. Other studies also considered the effective mass, which can be used to reveal how much percent of body mass contributes to the resulting strike force [
11,
32]. These findings underscore the relevance of body mass in combat techniques.
Therefore, the study design aimed to explore 1) the relationship between the striking arm mass and the dynamic forces of the punches, 2) the relationship between the kicking leg mass and the dynamic forces of the front kick, 3) the relationship between the kicking leg mass and CMJ performance, and lastly 4) comparing whether these aforementioned relationships will be higher than the relationship between dynamic forces and total body mass. This research included a cohort of male soldiers (sub-elite level) from the Czech Army who had regular training in close combat. The dynamic forces and body segment mass were measured by analysis employing advanced techniques like force plate analysis and dual-energy X-ray absorptiometry (DXA).
2. Materials and Methods
The influence of overall body mass on the dynamic forces of punches and kicks and jump performance has been examined in many studies focused on combat sports [
5,
9,
10,
11]. Therefore, this cross-sectional quantitative study addressed the question of the relationship between the body mass segments (striking arm and kicking leg) and the dynamic forces of punches, front kicks, and CMJ performance. The study complied with ethical research standards and received approval from the Faculty of Physical Education and Sport Ethics Committee, Charles University (No. 085/2022). All procedures were conducted following the Declaration of Helsinki.
The testing protocol of the study was compiled from three sessions (
Figure 1). Session 1 began with measurements taken via
dual-energy X-ray
absorptiometry, followed by a series of countermovement jumps, where participants performed three jumps with a 30-second rest interval between each jump. Session 2 was conducted 24 hours after the first and focused on front kicks. Participants engaged in a warm-up and familiarization period before the test. Then, they executed five front kicks with a 30-second rest interval between each kick. Session 3, also held 24 hours after the previous session, evaluated direct punches, palm strikes, and elbow strikes. Participants performed three sets of each type of strike with a 30-second rest interval between strikes. The session included a 5-minute rest between different striking protocols, and the order of the strikes was randomized to prevent any order effect.
2.1. Participants
The study involved sixteen male military cadets (Age: 22.3 ± 1.8 years, Height: 181.4 ± 7.0 cm, Mass: 82.1 ± 8.5 kg, all measurements reported as mean ± SD), selected based on their regular involvement in combat training and military physical training that commonly included punches, kicks and jumps. The participants were familiar with the DP, PS, ES, FK, and CMJ experimental protocols. They had two regular lessons of close combat per week within their military practice. In two training sessions, chosen techniques were practiced in detail to ensure consistent and accurate execution of each technique per the study requirements. All participants were informed about the study's purpose and procedures and consented. All the participants were healthy and without traumatic injury affecting performance or musculoskeletal injuries occurring within three months before the start of the study.
2.2. Testing Protocol (Punches and Front kick)
Following the 10-minute warm-up, which included 5 minutes of relaxed paced stationary cycling and dynamic exercises, such as calf raises, hip hinges, lunges, squats, and hopping, participants underwent a familiarization process with the punches and kicks, encompassing five test strikes. They then adjusted their individual distances to the impact area. All front punches and kicks began with a front-facing posture and were executed such that the hand made contact with the force plate at a height equivalent to the head and foot at midsection height [
12,
30,
33]. Following these preparatory activities, they were instructed to deliver each strike with maximum effort.
Each participant performed a series of combat moves, including three DP, PS, ES, and five FK (each strike or kick was followed by a 30-second rest period). The punches and FK were executed into the force plate (Kistler 9281; Winterthur, Switzerland, adjusted at a minimum sampling rate of 1,000 Hz) that was mounted in the front as the target. The height of the force plate was individualized for each participant. The force plate was covered by mat (tatami 400×300×25 mm, StrongGear) to reduce the risk of injury and connected to a computer with a 16-bit A/D board and BioWare V5.3.2.9 software.
In the data processing phase, the recorded signals were first subjected to a high-pass Butterworth filter with a cut-off frequency of 5 Hz to remove low-frequency drifts and baseline noise. A zero-phase digital filtering technique was employed to prevent phase distortions. The peak force (N) was recorded, and impact force (N) and impulse (N.s) were calculated using MATLAB software (version 1.8.0.121; MathWorks, Natick, MA). The calculation involved extracting the maximum value of the 2 ms sliding mean net force over the contact period from all three axes (x, y, z) [
12,
34]. To ensure the reliability of these measures, residual analysis was conducted to assess the consistency of the signal processing by examining the residuals of the fitted models across multiple trials. This analysis helped to validate the temporal stability and repeatability of the measurements.
2.3. Testing Protocol (Countermovement Jump)
At the lab, participants started with a standardized warm-up, which included 5 minutes of relaxed-paced stationary cycling and dynamic exercises, such as calf raises, hip hinges, lunges, squats, and hopping. After this, they performed five less intense CMJs, taking a 30-second rest between each [
35]. After a warm-up and a brief 2-minute rest, the participants, wearing the standard Czech military training footwear, positioned themselves on a calibrated force plate. They were advised to remain stationary for 5 seconds and then leap as high as possible upon the research assistant's signal. The CMJ routine consisted of a preliminary squat phase leading into a forceful jump, focusing on achieving maximum height and power. During these jumps, participants kept their hands on their hips to focus on lower body strength, thereby limiting the involvement of the upper body. The objective was to land accurately back on the force plate, ensuring the entire jump motion was recorded [
36]. Each person completed three maximum effort CMJ, with the freedom to choose their countermovement depth and a 60-second rest between each jump [
37]. The force plate was placed on the ground and connected to a computer with a 16-bit A/D board and BioWare V5.3.2.9 software. The maximum jump height (cm) and peak force (N) at the end of the breaking phase [
35] were recorded, and the impact force (N) within the breaking phase was calculated as an impulse (N.s) from initial contact to the time to reach the peak force [
12] using MATLAB software (version 1.8.0.121; MathWorks, Natick, MA).
2.4. Body Segment Mass (Dual-Energy X-ray Absorptiometry)
Upon morning arrival following an overnight fast, participants prepared for body composition analysis via
dual-energy X-ray
absorptiometry by removing all metallic and inorganic materials, including jewelry, belts, and any other accessories, to eliminate potential imaging artifacts. Following these initial preparations, the participants were instructed to lie motionless on the scanning table, adhering to standardized measurement conditions to ensure the accuracy and consistency of the
dual-energy X-ray
absorptiometry scans [
38]. The assessment utilized a narrowed fan-beam
dual-energy X-ray
absorptiometry system (Lunar Prodigy; GE Healthcare, Madison, WI), with subsequent analysis performed using GE Encore 12.30 software to ensure precise body composition metrics. The
dual-energy X-ray
absorptiometry system calibration was verified against a standard phantom to maintain consistent measurement accuracy [
39]. For the purpose of the study, the whole-body mass, striking arm mass, and kicking leg mass were recorded.
2.5. Statistical Analyses
The values of peak force (N), impulse (N·s), height (cm), concentric peak velocity (m/s), and impact force (N) were obtained from the force plates. Dual-energy X-ray absorptiometry scans measured the striking arm and kicking leg (kg). The Wilcoxon test and Cohen's d were used to compare the dynamic forces between executed DP, PS, ES (three strikes for each variable), and FK (five front kicks). Significance was determined by effect size using Cohen's d, which can be interpreted as small (0.2 to 0.5), medium (0.5 to 0.8), and large (d > 0.8).
The Spearman's correlation coefficient was used to determine the relationships between body segment mass and performance metrics in combat moves and CMJ. The measured values of punches and kicks were analyzed in both their original values and normalized values (punches normalized by the mass of the striking arm and front kicks normalized by the mass of the kicking leg) to account for individual differences in limb mass.
Statistical analyses were performed using SPSS version 25.0 (IBM) and Excel 2019 version 2312 (Microsoft). A sensitivity analysis was conducted using G*Power (version 3.1.9.6) to determine the minimum detectable effect size of the Spearman's correlation coefficient in our sample of 16 participants. Exact bivariate correlations were utilized with a two-tailed test, an alpha error probability set at 0.05, and a power (1-β) of 0.80 (80%). The computed sensitivity to detect significant correlations was r ≥ 0.64. Consequently, the strength of correlations was interpreted as weak (< 0.64), moderate (0.64–0.79), or strong (≥ 0.80). This approach ensured that our sample size was sufficient to detect a statistically significant correlation that would inform the impact of body segment mass on punches, kicks, and CMJ performance.
3. Results
Table 1 shows the descriptive statistics for the performance metrics of direct punches, palm strikes, elbow strikes, front kicks, countermovement jumps, and body segment mass assessed using
dual-energy X-ray
absorptiometry. The results indicate that the FK achieved the highest values of all dynamic forces, and the PS and ES achieved higher values than the DP in the peak and impact forces but not in the impulse. The Wilcoxon test revealed that the FK peak force was higher than DP, PS, and ES (
p ≤ 0.01,
d = 3.32;
p ≤ 0.01,
d = 1.6; and
p = 0.013,
d = 1.3, respectively) as well as FK impact force (
p ≤ 0.01,
d = 3.98;
p ≤ 0.01,
d = 1.89; and
p = 0.01,
d = 2.13, respectively). When comparing punches, the Wilcoxon test showed that DP peak and impact forces were lower than PS and ES (
p ≤ 0.01,
d = 1.93;
p ≤ 0.01,
d = 2.75; and
p ≤ 0.01,
d = 2.58;
p ≤ 0.01,
d = 2.62, respectively).
3.1. Correlation Analysis Between Body Segment Mass and Punches, Front Kicks, or CMJ
Spearman's correlation coefficient was used to determine the association between body segment mass (including striking arm, kicking leg, and body mass) and dynamic forces of DP, PS, ES, FK, and CMJ (
Table 2). A positive significant correlation was revealed between impact force of the CMJ and kicking leg mass and body mass. Moreover, a positive significant correlation was revealed between the impulse of the front kick and kicking leg mass. However, weak relationship existed between the peak and impact forces of the DP, PS, and ES and striking arm mass.
3.2. Correlation Analysis Between Front Kick Dynamic Forces and CMJ Performance
Table 3 depicts the association between the dynamic forces of front kick and CMJ, and between the normalized dynamic forces of front kick and CMJ performance. The strongest positive correlation was revealed between the jump height of CMJ and front kick peak or impact force. However, when we used normalized values of front kick dynamic forces, the correlation with the jump height of CMJ decreased. Furthermore, another association was revealed between peak velocity and front kickpeak force. Moreover, when using normalized values of front kick peak force, the association with the peak velocity of CMJ remained almost the same. Finally, interestingly, the impact force of CMJ had weak associations with front kick peak and impact force.
3.3. Graphical Representation of Findings
Several key findings emerged from the correlation analysis.
Figure 2 illustrates the correlation between the striking arm mass and the impulse generated during direct punch (
Figure 2a) and between the body mass and the impulse generated during direct punch (
Figure 2b). The regression line suggests a positive relationship, indicating that the impulse generated in direct punch tends to increase as the striking arm mass or body mass increases. However, the relationship between the striking arm mass and direct punch impulse was nearly identical to that between the body mass and direct punch impulse.
Figure 3a depicts the relationship between the impulse of the front kick and the kicking leg mass.
Figure 3b also shows a positive relationship between the impulse of the front kick and body mass, however, this relationship is weaker than that between the impulse of the front kick and the kicking leg mass.
4. Discussion
This study explored the relationship between the body mass or body segment mass and the dynamic forces in combat moves, such as direct punches, palm strikes, elbow strikes, and front kicks. The countermovement jump test, often used for testing acceleration lower limb strength, was also included in the study. Furthermore, our study utilized dual-energy X-ray absorptiometry to provide accurate information on the chosen participants' body segment mass. That allowed for an analysis correlating the mass of the striking arm and kicking leg with combat move and CMJ performance, thereby offering a nuanced understanding of whether knowledge of the mass of individual segments can provide more information about the relationship with the dynamic forces of punches and front kicks than knowledge of body mass.
We found a similar relationship between the dynamic forces of the punches and the striking arm mass and a slightly higher relationship between the dynamic forces of the front kick and the kicking leg mass compared to the total body mass. These findings suggested that the chosen body segment masses were not a stronger indicator of the dynamic forces than the participant's overall body mass. Moreover, in our study, we were also interested in whether there would be different relationships between individual segment masses or body mass with individual dynamic forces such as impulse, peak force, and impact force. The highest relationships were found between body segment masses or body mass and the impulse of the front kick, especially for kicking leg mass with the impulse of the front kick. However, the difference between the explained variability of the front kick impulse using kicking leg mass and the explained variability of the impulse of the front kick using body mass was only 12%. Furthermore, the mass of the kicking leg was strongly correlated (the body mass was moderately correlated) with the CMJ impact force, and the front kick impact force and peak force were moderately correlated with the jump height of CMJ.
4.1. Dynamic Forces of the Punches or Front Kick and CMJ Performance
Comparing the peak force of the direct punch in our study (2501 N) with values from previous studies (3427 N [
40], 2600 N [
41], 1605 N [
42], 1152 N [
43], 1659 N [
26], 1124 N [
44], 2880 N [
45]), our finding is in the upper half within the range of previous studies. Similarly, in terms of palm strike, our value of 4210 N was in the upper half of earlier studies (832 N [
46], 1593 N [
32], 3445 N [
47], and 4750 N [
45]). Regarding elbow strike, our value of 4677 N fell within the range of values from previous studies (4490 N [
45] and 6047 N [
47]). Considering the front kick impact force, our value of 3111 N was within the range of previous studies (1620 N [
3], 2447 N [
34], 2661 N [
48], 3600 N [
30], and 3691 N [
24]) and our value of front kick peak force 6310 N was higher than the authors stated in previous studies (5200 N [
7], 5551 N [
34], and 5604 N [
48]). However, the differences between the values of individual studies may be caused by varying levels of participants, stance position, distance from the target, type of target, and often different measuring equipment and the amount or stiffness of the material that protects the striking surface of the participants before the injury.
Considering the CMJ performance, our value 38.43 cm of jump height was in the range of previous studies (31.1 cm [
49], 34.1 cm [
50], 35.3 cm [
18], 37 cm [
51], 39.2 cm [
20], 40 cm [
52], 44.2 cm [
19], and 48.2 cm [
13]) that were conducted in the groups of military cadets, sport university students and sub-elite or elite participants level of fighting activities. Regarding peak velocity, our value of 3.1 m/s was slightly higher than in the previous studies (2.55 m/s [
49], 2.69 m/s [
19], and 3 m/s [
36]). The value of the CMJ impact force in our study was 1798 N. Compared with previous studies, it was in the upper half (1190–1235 N [
52], 1534–1575 N [
20], 1582 N [
50], and 1832 N [
36]).
4.2. Relationship Between Punches or Front Kick Dynamic Forces and Body Mass or Body Segment Masses
Our findings align with the studies suggesting that body mass and composition influence the dynamics of combat techniques. Previous studies have explored dynamic forces involved in punches and front kicks, highlighting the role of energy production partially dependent on a subject's mass in influencing kick dynamics [
6,
7]. Moreover, we found that body mass and body segment masses (striking arm mass and kicking leg mass) showed differential relationships with peak force, impact force, and impulse achieved during the punches or front kick execution. The relationship between the peak force of the punches or front kick and body segment mass was in the range of
r = 0.11–0.41, while the impulse was in the range of
r = 0.45–0.64. In previous studies, the authors found that the correlation coefficient between the front kick peak force and body mass was r = 0.32, and for the front kick impulse was
r = 0.44 [
48]. However, we found that the correlation coefficient between the impact force of the punches or front kick and striking arm mass or kicking leg mass or body mass were in the range of
r = 0.01–0.16, which does not follow findings in studies where the correlation coefficients were in the range of
r = 0.33–0.75 [
6,
7,
53]. Different levels of participants and gender may explain these contrasting findings [
6,
7]. For example, in the study by Ramakrishnan et al. [
7] the participants (novices, sub-elites, women, and men) were included in one group. When the authors split this group, the body mass had no significant influence on the kick force in the group of male sub-elite participants.
4.3. Associations Between Front Kick Dynamic Forces and CMJ Performance
The CMJ and the front kick are compound movements that rely heavily on lower limbs' coordinated action and muscle strength. The CMJ exhibits similar proximal-distal joint coupling to that of the front kick execution [
54,
55]. Moreover, the CMJ is a reliable indicator of lower body power [
56] and the lower body's power is also important in combat sports performance [
20,
21]. Therefore, CMJ is used in conjunction with martial arts performance [
19,
20,
51]. We found a strong relationship between the front kick's impact force or peak force and CMJ jump height. The individuals who achieved higher jump heights generated higher impact force and peak force in the front kick. This partially aligns with the study where the authors found higher CMJ jump heights for Brazilian jiu-jitsu experts than novices [
20]. This finding indicates that the jump height of the CMJ jump is related to the impact and peak forces of the front kick, suggesting that an improvement in the jump height can lead to a higher production of impact force or peak force of the front kick. Regarding the normalized dynamic forces of the front kick using kicking leg mass compared to using body mass in relation to CMJ performance, our findings did not suggest that kicking leg mass is more suitable than normalizing values using body mass.
4.4. Limitations
The study presents a few limitations. Firstly, the sample size is small, comprising only sixteen male military cadets. This limited sample may not provide a comprehensive representation of the broader population engaged in combat sports or military close combat, potentially affecting the generalizability of the findings. Secondly, the study focuses solely on male participants, omitting female personnel, limiting the results' applicability across genders. Another limitation is the study's reliance on specific body composition assessment and kinetic measurement techniques (dual-energy X-ray absorptiometry and force plate analysis), which, while accurate, might not be universally accessible for practical application in training environments. Furthermore, the study does not account for the potential influence of the individual's maximum strength that could affect the dynamic forces of the punches, front kick, and CMJ performance. Lastly, the correlation-based analysis provides insights into associations but does not establish causality.
5. Conclusions
This study contributes to understanding how the mass of individual body segments (specifically the striking arm and kicking leg) correlates with the dynamic forces of combat moves (direct punches, palm strikes, elbow strikes, and front kicks) and CMJ performance. In general, body segment mass and body mass showed a higher relationship with the impulse of the punches or the front kick than with impact force or peak force of the punches or the front kick. We found a positive significant correlation between kicking leg mass and the impulse of the front kicks. However, the difference between the explained variability of the impulse of the front kick using kicking leg mass and the explained variability of the impulse of the front kick using body mass was only 12%. Regarding the relationship between the dynamic forces of the punches and striking arm mass compared to body mass, no significant relationships were found, and the use of striking arm mass did not significantly explain the relationship more than body mass. Finally, our findings did not suggest that normalizing values using kicking leg mass is more suitable than normalizing values using body mass in relation to the dynamic forces of the front kick and CMJ performance.
Author Contributions
Conceptualization, M.V. and P.S.; methodology, M.V. and J.M.; software, M.V.; validation, M.V. and P.S.; formal analysis, M.V. and J.M.; investigation, M.V. and V.O.; resources, M.V. and J.M.; data curation, M.V.; writing—original draft preparation, M.V.; writing—review and editing, P.S. and V.O.; visualization, M.V.; supervision, P.S.; project administration, M.V.; funding acquisition, P.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded byUNCE24/SSH/012.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study. The study conformed to ethical sports and health research standards and received approval from the Faculty of Physical Education and Sport Ethics Committee, Charles University (No. 085/2022). All procedures were conducted following the Declaration of Helsinki.
Data Availability Statement
The associated dataset for all performed analyses is available at the Open Science Framework [OSF] repository (URL:
https://osf.io/kshbm/; DOI 10.17605/OSF.IO/KSHBM).
Acknowledgments
No acknowledgments.
Conflicts of Interest
The authors declare no conflicts of interest.
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