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514 Journal of Strength and Conditioning Research, 2003, 17(3), 514–521 q 2003 National Strength & Conditioning Association Neuromuscular Differences Between Endurance- Trained, Power-Trained, and Sedentary Subjects GREGORY LATTIER, GUILLAUME Y. MILLET, NICOLA A. MAFFIULETTI, NICOLAS BABAULT, AND ROMUALD LEPERS INSERM/ERIT-M 0207 Motricite´-Plasticite´, Universite´ de Bourgogne, Unite´ de Formation et de Recherche Sciences Techniques des Activite´ Physiques et Sportives, Dijon, France. ABSTRACT This study tested the hypothesis that neuromuscular char- acteristics of plantar flexor (PF) and knee extensor (KE) mus- cles explain differences of both performance in vertical jump and maximal voluntary isometric contraction (MVC) be- tween endurance-trained (END, n 5 9), power-trained (POW, n 5 8), and sedentary subjects (SED, n 5 8). Evoked twitch characteristics of PF and KE were measured. MVC, maximal voluntary activation (%VA) of KE, and performance in ver- tical jump were also measured. POW have higher maximal rate of twitch force development (MRFD) than SED and END for both PF (p , 0.05) and KE (p , 0.01); %VA and MVC were higher for POW and END than SED (p , 0.01). Higher performances were measured in vertical jump for POW com- pared with END and SED. Significant relationships were found between the squat jump performance and MRFD for both KE and PF (R 5 0.71, p , 0.0001 and R 5 0.55, p , 0.01, respectively). These findings show that low MRFD on lower limbs extensors does not limit expression of MVC on subjects with high levels of activation, whereas intrinsic mus- cular qualities have a direct influence on performance during the vertical jump. Key Words: maximal voluntary isometric contraction, vertical jump, twitch contractile properties, voluntary activation Reference Data: Lattier, G., G.Y. Millet, N.A. Maffiulet- ti, N. Babault, and R. Lepers. Neuromuscular differ- ences between endurance-trained, power-trained, and sedentary subjects. J. Strength Cond. Res. 17(3):514–521. 2003. Introduction Longitudinal studies have shown that training caninduce neural adaptations (29) as well as structural modifications such as changes in muscle fiber type (19, 33) and muscle cross-sectional area (17, 26, 33). To study long-term training adaptations, cross-sectional experiments have illustrated histochemical differences between endurance and power athletes. For example, Sleivert et al. (31) have shown that the proportion of type II fibers in the vastus lateralis was higher in vol- leyball players than in middle-distance runners. Tesch and Karlsson (32) have observed a higher percentage of slow fibers in the vastus lateralis in endurance run- ners compared with wrestlers, kayakers, lifters, and physical education students. These studies have also shown muscle cross-sectional area differences between endurance-trained athletes and sprinters or strength athletes (12, 31). Cross-sectional experiments have also been used to quantify differences between endurance-trained ath- letes, power-trained athletes, and untrained people in terms of physical capacity. For instance, it is well known that explosive force, explored through the per- formance in the vertical jump, is greater in power ath- letes such as volleyball players than in endurance ath- letes or untrained men (6). Several authors have shown that power athletes demonstrate higher maximal vol- untary force than endurance-trained counterparts for the quadriceps (12, 20) and the triceps surae muscle (2, 28). However, muscular mass has not always been taken into account to explain differences in maximal strength between subjects. The twitch interpolation method has been used to measure the level of voluntary activation of motor units (1). With this method, it is possible to quantify a ’’nervous deficit’’ (i.e., the subject’s failure to mobilize all the motor units of a given muscle). Although in- vestigations studying neural adaptations associated with strength training (16, 26, 29) have been conduct- ed, a few experiments have used the twitch interpo- lation method to study the effects of different types of training on nervous deficit (16). Electrically evoked twitches of skeletal muscles have been used to char- acterize muscular property changes with exercise training (8). As a consequence, much is known about adaptations induced by training in terms of neural and structural aspects, but few studies have been designed to explain intergroup differences in explosive and iso- Training Effects on Neuromuscular Characteristics 515 Table 1. Selected characteristics of the subjects.† Power Sedentary Endurance Age (y) [range] Training exposure (y) Height (cm) Weight (kg) Lean body mass (kg) 24.0 (2.9) [21–28] 11.4 (1.8) 182.1 (5.1) 80.3 (8.2)*** 69.5 (4.0)*** 25.8 (5.3) [21–33] — 175.2 (4.5) 61.3 (6.7) 54.0 (5.2) 41.6 (5.9)***§ [31–48] 13.7 (8.4) 177.3 (10.5) 69.4 (6.7)*‡ 61.7 (6.6)**‡ † Values are means (SD). *, **, *** Significantly different from sedentary (p , 0.05, p , 0.01, and p , 0.001, respectively). ‡, § Significantly different from power (p , 0.01 and p , 0.001, respectively). metric strength by determining factors such as neural recruitment or contractile characteristics. Therefore, the aim of this study was to test the hypothesis that neuromuscular characteristics of lower limb extensors can explain the performance in maximal voluntary iso- metric strength of these muscles and in vertical jump by subjects with different training backgrounds. Methods Experimental Approach to the Problem To test our hypothesis, we conducted a cross-sectional experiment that compared the explosive and isometric strength of endurance-trained, power-trained, and sedentary subjects. Explosive and isometric strength (dependent variables) were tested using performance in the vertical jump and the force reached during knee extensors (KE) maximal voluntary isometric contrac- tion, respectively. Neuromuscular characteristics (in- dependent variables) were the level of maximal vol- untary activation and the contractile properties of both KE and PE muscles, which were evaluated using the electrically evoked twitch. Subjects Twenty-five healthy men, divided into 3 groups, com- pleted the study. The first group (endurance [END]) was composed of 9 athletes regularly participating in ultramarathons and triathlons. The second group (power [POW]) was composed of 4 volleyball players, 1 basketball player, 2 sprinters (track and field), and 1 weightlifter who were playing in regional or national championships. The third group was composed of 8 sedentary subjects (SED) who did not engage in phys- ical activity more than once a week. The subject char- acteristics are presented in Table 1. After being in- formed of the nature of the experiment, written in- formed consent forms were obtained from the sub- jects. The study was conducted according to the Declaration of Helsinki and approval for the project was obtained from the local committee on human re- search. Experimental Protocol Muscle Contractile Properties. All muscle contractile measurements were conducted on both KE and plan- tar flexor (PF) muscles. Electrical stimulations were given using a high-voltage stimulator (Model DS-7, Digitimer Stimulator, Herthfordshire, England). The amperage of a 400 V rectangular pulse (1 ms) was pro- gressively raised (increment 10 mA) until the increase of intensity did not induce a higher twitch mechanical response and a higher amplitude of the EMG signals (M-wave; see below). This was considered the optimal intensity (i.e., the stimulus allowing the recruitment of all motor units of the muscular group considered). Three stimuli were given over a 15-s period, and the electromechanical response was averaged. For stimulations designed to study contractile properties ofKE, the subject lay prone on a strength training device with the hip and knee angles fixed at 908. The mechanical response was recorded by a strain gauge (SBB 200 kg, Tempo Technologies Co., Taipei, Taiwan), securely strapped around the ankle. The fem- oral nerve was stimulated using a monopolar cathodal electrode (0.5 cm diameter) pressed in the femoral tri- angle. The anode was a 10 3 5-cm rectangular elec- trode (Medicompex SA, Ecublens, Switzerland) locat- ed in the gluteal fold opposite the cathode. For stim- ulations designed to study contractile properties of PF, the subject was seated with the knee and ankle angles fixed at 908 of flexion. The posterior tibial nerve was stimulated with the cathodal electrode pressed in the popliteal fossa and the anode located on the anterior surface of the knee. The mechanical response was re- corded by a pedal equipped with strain gauges and specifically developed for the study by the local engi- neering school. The following parameters were ob- tained from the mechanical response of the evoked contraction: (a) peak twitch force (Pt; i.e., the highest value of twitch torque production); (b) twitch contrac- tion time (CT; i.e., the time from the origin of the me- chanical signal to twitch maximal force); (c) maximal rate of twitch tension development (MRFD; i.e., max- 516 Lattier, Millet, Maffiuletti, Babault, and Lepers imal value of the first derivative of the force signal); (d) half relaxation time (HRT; i.e., the time to obtain half of the decline in twitch maximal force); and (e) maximal rate of twitch tension relaxation (MRFR; i.e., lowest value of the first derivative of the force signal). Maximal Voluntary Contraction and Activation. Maxi- mal voluntary isometric contraction (MVC) was deter- mined for KE. MVC involved 2 maximum isometric contractions of KE with a 1-minute rest in the same position as for the evoked twitch between trials. The highest value obtained was used for analysis purposes. Maximal voluntary muscle activation of KE was car- ried out by using the technique of twitch interpolation (1). An electrically evoked twitch was superimposed to the plateau reached during the determination of MVC. The ratio of the amplitude of the superimposed twitch over the size of the twitch at rest was then used to calculate the level of voluntary activation (%VA) as follows: %VA 5 (1 2 superimposed twitch·mean con- trol twitch21)·100. The force corresponding to the com- plete activation of the muscle was calculated as fol- lows: MVC at 100% VA 5 MVC·%VA21. These 2 pa- rameters were then normalized with respect to lean body mass as follows Lean body mass 5 body weight 2 (body weight·percentage of body fat). Percentage of body fat was calculated using skinfold thickness at 4 sites (triceps, biceps, subscapular, and supra-iliac) ac- cording to the method of Durnin and Rahaman (9). EMG Recording. Two EMG signals per muscular group studied were recorded using a bipolar arrange- ment of silver chloride surface electrodes during trans- cutaneous electrical stimulation: vastus lateralis (VL) and vastus medialis (VM) for KE, soleus (Sol) and gas- trocnemius medialis (GM) for PF. The recording elec- trodes were fixed lengthwise over the middle of the muscle belly with an interelectrode distance of 20 mm. The reference electrode was attached to the wrist of the opposite arm. Low impedance at the skin-electrode surface was obtained (Z , 2 kV) by abrading the skin with emery paper and cleaning with alcohol. Myo- electrical signals were amplified with a bandwidth fre- quency ranging from 1.5 and 2 kHz and simultaneous- ly digitized on-line (sampling frequency 1,000 Hz). Peak-to-peak amplitude and duration of electrically evoked compound action potentials (M-wave) were determined for the 4 muscles during twitches. In ad- dition, the root mean square (RMS) of the whole signal was analyzed during the determination of the MVC for both VM and VL muscles over a 0.5 s period after the torque had reached a plateau. All mechanical and EMG data were stored with commercially available software (Tida, Heka Elektronik, Lambrecht/Pfalz, Germany). Vertical Jumps. The subjects performed 2 squat jumps (SJ) and 2 counter movement jumps (CMJ) on a contact mat (Ergo Test, Globus, Codogne, Italy) in a randomized way. In order to minimize trunk move- ments, the position of the upper body was standard- ized and controlled by the main experimenter. The subjects were asked to jump as high as possible, and the best SJ and CMJ performances were used in the subsequent statistical analysis. One-minute rest was al- lowed between the 4 jumps. During jumps, the sub- jects were instructed to keep their hands on their hips. Statistical Analyses Comparisons of the study variables were performed between groups by 1-way analysis of variance (ANO- VA). By first using a multivariate ANOVA, it was ver- ified that the 1-way ANOVA did not increase the risk of committing the Type I error for variables that can potentially co-vary (e.g., Pt and MFRD). Since the re- sults were not affected, the 1-way ANOVA was used. Individual comparisons were made with the Newman- Keuls post-hoc test when F values were significant. Re- lationships between strength performance parameters and neuromuscular characteristics of lower limb exten- sors were examined using Pearson product correla- tions. A p value of #0.05 was accepted as the level of statistical significance for all analyses. Results Muscle Contractile Properties Mean values of Pt, MRFD, and MRFR of the 2 muscle groups were higher for POW than for the 2 other groups (Table 2). On the contrary, there were no sig- nificant differences in CT among the 3 groups for both muscles studied. The same tendency was found for the relaxation time since the only difference was a longer HRT of KE for POW to compare with SED (Table 2). Peak-to-peak amplitude and duration of the surface action potential (M-wave) were not significantly dif- ferent among the 3 groups (Figure 1). Significant linear relationships between Pt of PF and Pt of KE (R 5 0.49, p , 0.05, n 5 24) and between MRFD of PF and MRFD of KE (R 5 0.56, p , 0.01, n 5 24) were observed. Maximal Voluntary Contraction and Activation MVC and %VA were significantly higher in POW and END compared with the untrained subjects (Figure 2). Similar differences existed when MVC was expressed relative to lean body mass (MVC·LBM21; Figure 3). However, intergroup difference in MVC disappeared when a simulation with 100% VA was calculated (Fig- ure 3). A significant linear relationship was found be- tween voluntary activation and MVC (R 5 0.46, p , 0.01, n 5 22). Also, the RMS values measured during MVC were not significantly different between groups for both the VL and the VM muscles. Vertical Jumps SJ and CMJ performance were higher for POW than END and SED, whereas no differences were found be- tween END and SED (Figure 4). For both KE and PF, Training Effects on Neuromuscular Characteristics 517 Table 2. Selected parameters of twitch mechanical response for both muscular groups studied.† Knee extensors Power Sedentary Endurance Plantar flexors Power Sedentary Endurance Pt (N or N·m) CT (ms) HRT (ms) MRFD (N·ms21 or N·m·ms21) MRFR (N·ms21 or N·m·ms21) 217.9 (63.12) 61.3 (14.1) 77.7 (22.8) 6.89 (2.45) 2.84 (1.40) 139.9*** (10.7) 56.9 (5.9) 53.4* (9.5) 4.50*** (0.54) 1.94** (0.27) 131.9*** (21.2) 65.7 (6.6) 68.9 (13.5) 3.70** (0.89) 1.36* (0.32) 24.6 (8.1) 122.4 (10.6) 87.7 (5.2) 0.36 (0.12) 0.20 (0.04) 14.8* (3.0) 118.4 (14.6) 93.8 (9.3) 0.22** (0.05) 0.13** (0.02) 15.8** (7.0) 130.8 (13.6) 93.8 (19.5) 0.22* (0.08) 0.14* (0.05) † Values are means (SD). Pt 5 Peak twitch force; CT 5 twitch contraction time; HRT 5 half relaxationtime; MRFD 5 maximal rate of twitch tension development; MRFR 5 maximal rate of twitch tension relaxation. *, **, *** Significantly different from power (p , 0.05, p , 0.01, and p , 0.001, respectively). a significant relationship was found between MRFD and the SJ performance (R 5 0.71, p , 0.0001, n 5 25 for KE, and R 5 0.55, p , 0.01, n 5 24 for PF; Figure 5). Similar relationships were observed between MRFD and CMJ performance (R 5 0.62, p , 0.01, n 5 25 for KE, and R 5 0.50, p , 0.05, n 5 24 for PF). When considering each group separately, the only sig- nificant relationships were found for the POW group between KE MFRD and SJ (R 5 0.90, p , 0.01, n 5 8) and between KE MFRD and CMJ (R 5 0.74, p , 0.05, n 5 8). Discussion Large differences in both explosive strength and con- tractile properties have been previously observed in subjects with different training backgrounds (2, 6, 12, 20, 28, 31). To our knowledge, the present study is the first one to connect muscle characteristics to explosive strength and to show that, in a heterogeneous group, performance in vertical jump can be explained by the maximal rate of twitch force development of both KE and PF muscles. Two other interesting results of this study are that (a) both endurance- and power-trained athletes have higher maximal voluntary activation and maximal isometric force of KE muscles than sedentary subjects, and (b) while large differences in vertical jump heights were found between endurance- and power-trained subjects, these 2 groups have similar maximal isometric strength. Twitch contraction times for KE and PF are similar to those measured in previous studies. For instance, CT for PF was reported to be from 103.3 6 7.1 to 139.3 6 7.3 ms (11, 32) vs. 123.9 6 13.6 ms in the present experiment. In our study, CT was the only parameter of the mechanical response similar for all groups of subjects and the 2 muscles studied. There is a paucity of information on the effects of training on this param- eter in the literature. Pa¨a¨suke et al. (28) have found that both endurance and power athletes had shorter triceps surae CT compared with untrained men, whereas CT has been found to be longer in the triceps surae of elite bodybuilders and untrained men com- pared with endurance athletes (2). This discrepancy could be due to the type of contraction performed dur- ing training. Indeed, Duchateau and Hainaut (8) have found that dynamic strength training induced a re- duction of CT, whereas CT was unchanged after an isometric maximal training. In the present study, peak twitch (Pt) was higher in POW than in SED and END. In the absence of dif- ference of CT between the groups of subjects, the greater value of Pt for POW is explained by their high- er twitch rate of force development that could be a result of greater activity of the myosin ATPase, which could reflect a difference in myotypology between ath- letes trained in sports requiring explosive actions and the 2 other groups (24). It is worthy to note that mus- cular characteristics such as high MRFD found in POW are not necessarily entirely due to training. In fact, part of these contractile properties can probably be at- tributed to genetic predispositions of POW athletes for explosive sports. With the exception of the half-relaxation time, the differences between the groups of subjects observed for KE were also found for PF for all mechanical and electrophysiological parameters associated with the twitch. Also, a linear relationship between the values of the 2 muscular groups considered was observed for Pt and MRFD. This suggests that the contractile prop- erties of the 2 lower limb extensors studied are mod- ified in a comparable way by training. This similarity is interesting to note even if the genetic predisposi- tions in self-selecting a sport cannot be completely ex- cluded. 518 Lattier, Millet, Maffiuletti, Babault, and Lepers Figure 1. Mean values of duration (upper panel) and am- plitude (lower panel) of the M-wave for the 3 groups of subjects and for the 4 muscles studied. GM 5 gastrocnemi- us mediallis; Sol 5 soleus; VM 5 vastus medialis; VL 5 vastus lateralis. Brackets represent 1 SD. Figure 2. Mean values of maximal voluntary contraction (MVC, upper panel) and voluntary activation (lower panel) of the KE for the 3 groups of subjects. **, *** indicate signif- icant differences between the groups at p , 0.01 and p , 0.001, respectively. Brackets represent 1 SD. The %VA found in the present experiment may seem low compared with other studies (4, 5, 7, 27), especially for the SED subjects. This can be explained by 2 reasons. First, when the reference twitch is a po- tentiated one (i.e., measured immediately following a maximal contraction), a higher degree of maximal ac- tivation is found. This was not the case here. Also, in the present study the subject laid prone on a strength training device with the hip and knee angles fixed at 908. This unusual position may have reduced the neu- ral input to the KE, and this can partly explain the low degree of maximal activation found in the present study. However, since all subjects were tested in the same position, this factor does not affect the inter- group comparison. The results of the experiments studying the train- ing effects on the level of maximal voluntary activation are contradictory. Herbert et al. (16) did not find any change in maximal voluntary activation after isometric training. Similarly, Narici et al. (25) did not observe any modification of quadriceps integrated EMG (IEMG) measured during a maximal contraction after 6 months of strength training. However, Ha¨kkinen and Komi (13) have observed an increase in IEMG after strength training. These contradictory results could be explained by the discrepancy between studies in terms of recording conditions, type of training, physical sta- tus of subjects at the beginning of the training period, and type of muscle studied. An increase in IEMG is generally interpreted as a higher number of motor units recruited and/or a higher firing rate (30). In this context, it is worthy to note that Van Cutsem et al. (34) found that dynamic training of the ankle dorsiflexor muscles only induced an increase in motor units dis- charge frequency without variation of their spatial re- cruitment. An interesting result of the present study Training Effects on Neuromuscular Characteristics 519 Figure 3. Mean values of maximal voluntary contraction divided per lean body mass (MVC·LBM21, upper panel) and maximal voluntary contraction at 100% of voluntary contraction divided per lean body mass (MVC [100% VA]·LBM21, lower panel) for the 3 groups of subjects. Brackets represent 1 SD. Figure 4. Mean values of performance in squat jump (SJ) and in counter-movement jump (CMJ) for the 3 groups of subjects. **, *** Indicate significant difference between the groups at p , 0.01 and p , 0.001, respectively. Brackets represent 1 SD. is that maximal activation was significantly higher in POW and END than in SED. Despite the lack of sig- nificant difference in IEMG measured during MVC, probably due to a large variability, this result is an argument in favor of nervous adaptations due to train- ing. It also suggests that the intensity of training stim- ulus does not influence the adaptation in terms of maximal voluntary activation measured in isometric conditions. The intergroup %VA differences in activation were similar to those found in voluntary maximal force. This result, emphasized by the linear relationship be- tween %VA and MVC, suggests that isometric strength is primarily dependent on the level of activation. In- deed, a simulation of the MVC with an activation of 100% cancels the differences between the groups. However, under these conditions a tendency exists for MVC to be higher for POW than for the 2 othergroups (p 5 0.051). This could be related to the higher lean mass in POW since the effect of the muscular mass on MVC has been extensively discussed in the literature (17). In this context, it is worthy to note that the 3 groups of subjects had very similar MVC per kilogram of lean mass at 100% of simulated activation (see Fig- ure 3, lower panel). In the present study, only isometric force was evaluated, and results from dynamic mea- surements would probably have been different, partic- ularly at high speeds. It can be speculated that at high contraction velocity, differences between endurance- and power-trained athletes would be similar to those observed during the vertical jump. The higher performances in SJ and CMJ measured in POW compared with the 2 other groups are in agreement with the results of Bosco (6). It is well es- tablished that athletes trained in power sports (e.g., sprint, volleyball, basketball) have higher performanc- es in vertical jumps when compared with endurance runners. Longitudinal studies have also showed an in- crease in jump height after maximal or explosive strength training (14, 33). However, to our knowledge the present study is the first to show a direct relation- ship between the twitch rate of force development and the performance in vertical jump for both knee and ankle extensors. The twitch MRFD was used in this study as a measure of muscle maximal velocity con- traction. It can be argued that MRFD of a tetanic con- traction would be a better witness of muscle contractile properties than MFRD of a twitch. However, an un- published recent study from our laboratory showed a strong linear relationship (R 5 0.88) between MRFD of a twitch and MRFD of a tetanic contraction at 80 Hz. Therefore, the use of twitch parameters to char- acterize the muscle contractile properties was probably 520 Lattier, Millet, Maffiuletti, Babault, and Lepers Figure 5. Relationships between performance in squat jump (SJ) and maximal rate of twitch tension development (MRFD) of the knee extensors (upper panel) and of the plantar flexors (lower panel). adequate. In the present study, the coefficient of deter- mination of the relationship between MRFD and the SJ (R2 5 0.50 for KE, R2 5 0.30 for PF) showed that while contractile properties are a determining factor of vertical jump performance, other parameters are of importance in explaining interindividual differences in explosive force. In this context, other studies have shown that the pattern of activation influences the per- formance during explosive movements (3, 15). In our study, the fact that %VA between END and POW was not different while SJ performance was lower for END is not in contradiction with this role of neural factors during vertical jump performance. In fact, %VA was measured in isometric conditions, not during high-ve- locity contraction. The influence of MRFD on the ex- plosive force is confirmed by the fact that (a) despite a similar level of voluntary activation and MVC, the performances in vertical jump were significantly lower in END compared with POW; and (b) in spite of high- er MVC and level of voluntary activation, the SJ per- formances of END were not significantly different from SED. One can consider that the age differences between the END group and the 2 other groups have affected the conclusions of this study. However, the majority of studies have shown that neuromuscular alterations start in the fifth or the sixth decade (e.g., 21, 22, 36). For instance, Vandervoort (35) established in a recent review that a steady decline of 1 to 2% per year oc- curred for voluntary or stimulated muscle strength only after the sixth decade. Similar conclusions can be made for the peak twitch tension of ankle PF muscles (36). Moreover, there were no significant differences on PF contractile properties between the present study and a previous experiment carried out in our labora- tory on young endurance-trained subjects (23). It must be noted that 1 study has shown differences in maxi- mal isometric force and squat jump height between the age group of 20 and 40 years (18). Nevertheless, this study was not in accordance with the results of Ferretti et al. (10), which have shown that peak muscle power decreased markedly only above the age of 50 years. Thus the age factor has probably no influence on the present results. In conclusion, the results of the present study show that (a) low speeds of contraction do not compromise the development of maximal isometric force in subjects (i.e., the END athletes) with a high level of activation, but (b) intrinsic muscular qualities have a direct influ- ence on performance in the vertical jump. Also, with the exception of the parameters linked to the twitch relaxation time, electrophysiological and mechanical differences between groups are similar for KE and PF muscles. Practical Applications The practical application of this study is that the as- sociation of 2 simple tests (vertical jump and maximal isometric strength of KE) and 2 anthropomorphic mea- sures (body mass and percent body fat in order to calculate lean body mass) may be of interest to explore the neuromuscular capacities of a subject within a group. In fact, 4 types can be characterized: (a) high performance in the vertical jump and high MVC·LBM21; (b) high performance in the vertical jump and low MVC·LBM21; (c) low performance in the vertical jump and high MVC·LBM21; (d) low perfor- mance in the vertical jump and low MVC·LBM21. 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