Abstract
Cooley, C, Simonson, SR, and Maddy, DA. The force-vector theory supports use of the laterally resisted split squat to enhance change of direction. J Strength Cond Res 38(5): 835–841, 2024—The purpose of this study was to challenge the conventional change of direction (COD) training methods of the modern-day strength and conditioning professional. A new iteration of the modified single-leg squat (MSLS), the laterally resisted split squat (LRSS), is theorized to be the most effective movement for enhancing COD performance. This study lays out a rationale for this hypothesis by biomechanically comparing the LRSS, bilateral back squat (BS), and MSLS with a COD task (90-degree turn). One repetition maximum (1RM) for LRSS, MSLS, and BS was measured for 23 healthy active female subjects. Peak ground reaction forces (GRF) for the dominant leg were recorded when performing COD and the LRSS, MSLS, and BS at 70% 1RM. Peak frontal plane GRF magnitude and angle were calculated for each task and submitted to repeated measures ANOVA. Peak GRF magnitude was significantly larger for COD (2.23 ± 0.62 body weight) than the LRSS, MSLS, and BS (p ≤ 0.001). Peak GRF angle was not significantly different between COD and the LRSS (p = 0.057), whereas the MSLS and BS (p < 0.001) vector angles were significantly greater than COD. In this application of the force-vector theory, the LRSS more closely matches COD than the MSLS or BS. Thus, the LRSS has the greater potential to enhance COD.
Key Words: force-vector theroy, unilateral, strength training
Introduction
Change of direction (COD) is one of the most important motor qualities in almost all current sports; therefore, it is frequently assessed to predict performance outcomes (3,11,26,30). Although strength training is commonly used by athletes to improve their performance, it is currently inconclusive whether muscular strength correlates to COD performance (17,25,31–33,35) and improving COD has proven to be difficult because athletes exhibit inconsistent COD results after training (5,17,21,25). Thus, strength and conditioning coaches have focused instead on using power movements such as plyometric exercises or squat jumps to improve COD performance (8,11,21,22). However, these techniques and movements may be too advanced for some individuals, resulting in reduced effectiveness and an increased risk of injury (5,29).
Because of plyometrics potentially increasing the likelihood of injury or reduced effectiveness in the pursuit of COD enhancement, what resistance training exercises are strength and conditioning professionals attempting to use to solve this problem? The current research would point to the modified single-leg squat (MSLS) and back squat (BS). The MSLS seems to be closely related to COD because the muscles are activated in a similar unilateral fashion and reportedly improves COD performance after training (1,2,10,20,23,24,31). However, results are inconsistent in that training with the MSLS did not produce greater improvements in COD performance than training with the BS (31). Considering the inconsistent results, the main issue with improving COD performance may not have been the use of strength training in agility programs, but lack of exercise specificity. In other words, applying the specificity principle or performing exercises that mimic COD and its unique unilateral, multiplane pattern may be necessary to improve COD performance (6,13,18). The force-vector theory, a refinement of the specificity principle, suggests that MSLS neither provides specific nor adequate stimulus because it does not occur in the same anatomical plane(s) as COD (1,6,12,13,18,34). Although the MSLS replicates the muscular activation of the COD task, it provides inadequate stimulus to produce meaningful improvement in COD performance because it is performed in the frontal plane with a vertical load, whereas COD occurs in multiple planes with both vertical and horizontal loads.
More specifically, the force-vector theory states that to maximize transfer to performance, athletes should train movements in the same specific anatomical planes using the same vectors as the athletic skill they are targeting (1,6,12,13,18,34). Contreras et al. (6) eloquently demonstrated this theory in a real-world application by comparing the barbell hip thrust (horizontal force production) and the front squat (vertical force production) and their effect on performance outcomes. Contreras et al. (6) found that the hip thrust improved sprint times, whereas the BS improved vertical jump height. It is from this study and the theory that guided it, that the authors theorize that the laterally resisted split squat (LRSS) would enhance COD to a greater degree than other exercises currently used.
Going a step further and comparing COD with other movements through the lens of the force-vector theory illustrates this point. During COD, the athlete plants their outer foot (foot opposite to the intended new direction) to eccentrically lower their hips and center of gravity in the transverse plane and decelerate their momentum in the sagittal plane. There is a brief amortization phase, stopping of momentum, and then a concentric force is applied through the planted leg at a 45–75° angle in the frontal plane to push off the ground and accelerate their momentum in the new, intended direction (8,10,20). The MSLS mimics this movement in the transverse and sagittal planes, but may not mimic the frontal plane angle of force production; thus, it does not optimize the force-vector and would not be expected to lead to optimum improvements in COD. Applying the force-vector theory, the movement should be performed in a unilateral stance (with the leg at 45–75° in the frontal plane), eccentric lowering of the hips, and then application of a concentric force through the planted foot. Based on the inconclusive results demonstrated to date and by applying the force-vector theory, we propose a new more specific strength training exercise, LRSS, to improve COD ability.
The LRSS is similar in nature to the MSLS with the addition of a lateral force by placing the planted leg at an angle comparable with COD. To create the lateral force, a barbell is anchored to the floor at the distal end with a landmine base. Plates are loaded at the free end of the bar. The lifter stands at the free end of the bar oriented at a right angle to the bar, the leg to be worked (planted leg), is opposite/distal to the landmine, and the near/proximal leg is elevated on a platform behind the lifter. The foot of the planted leg is placed just to the outside of the free end of the bar and the lifter picks up this end of the bar and brings it tight to their chest in a Zercher hold (Figure 1). They then eccentrically descend on the planted leg to an approximate 90° knee angle and then concentrically ascend to the starting position, driving into the barbell and creating a frontal plane angle similar to performing COD. It is theorized that this is more similar to COD because, although this movement is still performed in the transverse and sagittal planes, the resistive forces applied to the lifter's planted leg are also in the frontal plane because of the barbell's lateral anchor.
The purpose of this study was to provide a theoretical basis for the inclusion of the LRSS in strength and conditioning programs intended to enhance COD performance. The first step in this process is to determine whether the LRSS more closely mimics both the frontal plane movement and angle of force production of the COD than the frequently used MSLS and BS movements. It was hypothesized that based on the force-vector theory, the LRSS will result in a peak ground reaction force (GRF) magnitude (GRFmag) and angle () that is not statistically different than COD, but significantly different than the BS and MSLS, respectively.
Methods
Experimental Approach to the Problem
The force-vector theory suggests athletes need to perform training exercises that specifically mimic both the movement plane and angle of force production of a targeted athletic skill to improve performance (6). Force plate analysis was used to test the specificity of the LRSS to COD. The magnitude and vector angle of the GRF in the frontal plane were quantified and compared for LRSS, MSLS, BS, and COD.
Subjects
Ten healthy and recreationally active female subjects (age: 23.8 ± 5.37 years, body mass 70.35 ± 14.31 kg, height: 164.85 ± 8.42 cm, and 3.4 ± 1.8 years of resistance training experience) and 13 female varsity collegiate soccer players participating in preseason conditioning (age: 19.8 ± 1.3 years, body mass 67.12 ± 5.30 kg, height: 170.92 ± 5.12 cm, and 3.1 ± 1.0 years of resistance training experience) completed this study. Because subsequent analysis indicated no significant differences between the 2 subject groups, data were combined (Table 1). All subjects provided written consent and a completed health history before testing. Because testing was of short duration and of limited scope, there was no control for diet or menstrual cycle phase. This study received prior Boise State University Institutional Review Board approval.
Table 1.
Subjects (female) | Age (y) | Mass (kg) | Height (cm) | Sport/physical activity (n) |
23 | 21.4 ± 3.0 | 68.50 ± 8.98 | 168.44 ± 6.47 | Soccer (13) Lacrosse (4) Hiking (2) Volleyball (2) Downhill skiing (1) Weightlifting (1) |
LRSS = laterally resisted split squat.
Subjects' dominant lower limb was first established by asking the subject, “Which foot do you kick a soccer ball with?” and then verified with an actual kick. All 23 subjects were right leg dominant. After a suitable warm-up, subjects were then required to successfully complete a COD mechanics field test to ensure adequate control of the lower extremity and reduce injury potential. The test involved sprinting 10 m and performing a 90° turn off the dominant limb. Mechanics were assessed on a 3-point scale: shortening of stride length and lowering of center of mass when decelerating, shin angle visually estimated at less than 90° sagittal plane and between 45 and 75° in the frontal plane, and rotation of hips during push-off toward the new intended direction (8,10,19,20). Subjects had to score at least a 2 on each criterion to be included.
Procedures
All screening and data collection occurred in 1 test session. After completing screening, the LRSS was demonstrated, and subjects practiced the movement using a free-weight standard barbell (20.45 kg) with a 4.55-kg bumper plate for 5 or more repetitions. Corrective feedback was provided until the subject appropriately performed the LRSS.
Strength Assessment
After adequate recovery, 1 repetition maximum (1RM) estimates for the LRSS, MSLS, and BS were assessed in a random order through a roll of a die (1,4: LRSS; 2,5: MSLS; and 3,6: BS). To assess 1RM, the subject performed 5–10 repetitions of the randomly selected exercise at a predetermined percentage of body weight (BW) (LRSS = 50%; MSLS = 50%; and BS = 80%). If 10 repetitions were performed correctly, additional weight (up to 9.09 kg based on subject's perception of the weight) was added and the movement repeated. Once the subject could no longer perform the movement with correct form for more than 10 repetitions, the number of correct repetitions and final weight were recorded. The Bryzcki formula was then used to estimate the subject's 1RM (4,9,15). This maximal strength testing procedure was then repeated for the other 2 movements in random order.
Kinetic Assessment
After adequate rest after the strength assessments, kinetic (GRF) data were recorded with an in-ground force platform (OR-6, AMTI, Watertown, MA) as the subjects performed the various tasks (COD, LRSS, MSLS, and BS). The COD task was a 10-m run up to the target on the force platform, planting the dominant leg, performing a 90° COD pivot, and running an additional 10 m in the new direction.
After completing the COD, subjects randomly performed one of the 3 resistance movements (LRSS, MSLS, and BS) using 70% of their calculated 1RM with their dominant foot on the force plate (Figure 2). As previously described for the LRSS, the subject stood with the landmine base placed laterally to them and their dominant, outside, foot just under the free bar end. The near foot was elevated behind them on a leg rest. They used a Zercher hold to pin the barbell to their chest and leaned into the weight. For the MSLS, the subject placed their nondominant foot on the same posteriorly placed leg rest and then stood up under the bar so that it was resting across their back just above the shoulder blades in a typical BS position. For the BS, the nondominant foot was placed parallel to the dominant (approximately shoulder width away) and off the force plate with the barbell in a traditional position resting across their back just above the shoulder blades.
For each resistance movement, subjects performed up to 10 repetitions at a controlled and consistent speed for 15 seconds. This process was repeated, and data were collected for all 3 tasks with at least 3-minute rest between each movement. The repetition with the highest peak GRFmag within each movement was used for analysis.
Ground Reaction Force Measures
Custom MATLAB script (version 2019a, MathWorks, Inc., Natick, MA) was used to calculate peak frontal plane GRFmag and according to Creaby and Dixon using trigonometric equations (7).
where Fz represents the vertical GRF and Fx the mediolateral GRF. GRFmag was normalized to subject BW plus weight lifted (in Newton's), and was measured as the angle from the horizontal axis.
Statistical Analyses
The dependent variables included body mass, 1RM for LRSS, MSLS, and BS, and peak frontal plane GRFmag and for all tasks. Before analysis, 1RM data were tested for outliers using the box and whiskers technique with interquartile range method, and all subjects were included (28). Peak frontal plane GRFmag and for the subjects were submitted to repeated measures ANOVA to test main effect of task (COD, LRSS, MSLS, and BS). To reduce probability of committing type I error, a Bonferroni correction was used for post hoc comparisons. Effect size was calculated using partial eta-squared values according to Hopkins (16). All analysis was conducted in SPSS 25 (IBM Corporation; Armonk, NY), with alpha level 0.05.
Results
Figure 3 indicates the BS-to-body mass ratio for the subjects and shows a general linear trend. Figure 3B indicates that, although the soccer athletes were more narrowly clustered, there was no significant difference in strength-to-body mass ratios for the BS and LRSS. Descriptive statistics (mean ± SD) for subjects' peak frontal plane GRFmag and corresponding for COD, LRSS, MSLS, and BS are presented in Table 2. Figure 4B indicates that, although there was a trend for the female soccer players to have smaller angles in both the 90° cut and LRSS, these were not significantly different from the female recreationally active subjects.
Table 2.
Variable | Peak frontal plain GRFmag (multiple of body weight) | Frontal plane GRFΘ (°) |
COD | 2.23 ± 0.62‡,§,|| | 65.33 ± 4.98§,|| |
LRSS | 0.95 ± 0.47†,§,|| | 72.84 ± 5.64§,|| |
MSLS | 1.09 ± 0.20†,‡,|| | 89.04 ± 0.48†,‡,|| |
BS | 0.72 ± 0.17†,‡,§ | 82.69 ± 4.30†,‡,§ |
1RM = 1 repetition maximum; GRF = ground reaction forces; LRSS = laterally resisted split squat; COD = change of direction; MSLS = modified single-leg squat; BS = back squat.
Mean significantly different from COD at 0.05 level.
Mean significantly different from LRSS at 0.05 level.
Mean significantly different from MSLS at 0.05 level.
Mean significantly different from BS at 0.05 level.
There was a significant main effect of task for GRFmag (p < 0.001; ES = 0.94). Specifically, COD had a significantly larger peak GRFmag compared with LRSS (p < 0.001), MSLS (p = 0.001), and BS (p < 0.001), and GRFmag was significantly greater for MSLS compared with LRSS (p = 0.005) and BS (p < 0.001) and for LRSS compared with BS (p < 0.001). Thus, in terms of GRFmag, COD > MSLS > LRSS > BS.
There was a significant main effect of task for peak (p < 0.001; ES = 0.96). There was no significant difference in peak between COD and the LRSS (p = 0.057), but peak was significantly smaller for both COD and LRSS compared with MSLS (both: p < 0.001) and BS (p < 0.001; p = 0.047) and for BS compared with MSLS (p = 0.014). Thus, in terms of GRF vector angles, MSLS > BS > LRSS ≈ COD (Figure 4).
Discussion
According to the force-vector theory, the current training movements used by many strength and conditioning professionals may not adequately replicate the movement plane and vector angle of force production required during COD to produce a meaningful improvement in COD performance. The purpose of this study was to provide a theoretical basis for the inclusion of the LRSS in COD training regiments. The first step in doing this was to biomechanically determine whether the LRSS more closely resembles COD. The current results support this theoretical rationale as the hypothesis that the LRSS will result in a similar frontal plane GRF vector angle to COD was accepted. However, the hypothesis that the LRSS will result in a similar peak GRFmag to COD was rejected.
Contrary to one aspect of our hypothesis, the peak GRFmag was significantly greater for COD than the 3 resistance exercises (LRSS, MSLS, and BS). The peak GRFmag of the COD was 1.14–1.51 BWs greater than the resistance exercises in general and 1.28 BWs greater than LRSS specifically. This makes sense as peak GRFmag reported when running 3.6 m/s was 2.49 ± 0.19 BW, approximately 15% greater than the 2.23 ± 0.62 observed during the COD task (7). None of the subjects had a 1RM approaching 2 times their BW, and so, the magnitude must be lower. However, in the current study, resistance exercises were performed at 70% of 1RM and the COD at a sprint. Measuring GRF with the 1RM for each resistance exercise might have resulted in values more similar to the COD GRFmag. However, considering a 30% increase in peak GRFmag for the resistance exercises would only result in peak GRF values of 0.68–1.29 BWs, still much less than 2 BW. Although training at the same absolute load may not be feasible, this does suggest that training at higher intensities may be warranted, and that further study is needed to determine training loads to best enhance COD performance.
Thus, GRFmag may not be a good indicator of the specificity required for meaningful COD performance gains after training. Training with the MSLS and BS (at 75–92% 1RM for 5 weeks) resulted in similar improvements in COD assessed through the pro-agility test (31). The MSLS requires nearly 50% greater magnitude of peak GRF compared with BS as well as greater hamstring, gluteus maximus, and gluteus medius activation, highly activated muscles during performance of a COD task (2,20,23,24). If peak GRFmag was a good indicator of the specificity required for training improvements, in theory, performing MSLS exercises should lead to greater improvements in COD than the BS. However, Jullien et al. (17) reported that multidirectional locomotor training (i.e., running, hurdling, and shuffling in various directions) produced an approximately 5% greater improvement of COD performance on the shuttle test than BS training. Thus, as suggested by Contreras et al. (6), it may not be training the targeted muscles at a greater magnitude that is important for improving performance; rather, it maybe the plane in which the movement produces force.
In agreement with our hypothesis and justifying the inclusion of the LRSS in COD training, the frontal plane GRFƟ recorded for COD and LRSS was not statistically different. All 3 resistance exercises produced force in the frontal plane. But, the of the LRS was approximately 17.4 and 23.7° more medially directed than during the BS and MSLS tasks, respectively. Applying the force-vector theory, the LRSS is the most appropriate of the currently chosen resistance exercises for COD training. Numerous studies demonstrate that individuals produce meaningful performance improvements by training exercises that require force production in the anatomical planes of the targeted athletic task (1,6,12,13,18,34).
Case in point, on further review of the data collected from this study, it is demonstrated that the BS required force production that was directed approximately 6° more medially than the MSLS tasks. By using the force-vector theory as our guide, one would hypothesize that BS training would produce greater improvements in COD performance than training with MSLS (27). Through research conducted by Speirs et al. (31), this hypothesis was validated. The BS and MSLS both improved agility performance, and the BS group did demonstrate a greater, albeit nonsignificant, improvement in COD performance than the MSLS group (31). Studies demonstrating more medially directed exercises enhance COD were not limited to Speirs et al., and Henry et al. demonstrated that the factors involved in producing superior lateral jump performance in the dominant leg were predictive of COD performance in that leg, whereas vertical and horizontal jumps were not predictive of COD performance (14). McCormick et al. (22) furthered this argument by showing medially directed plyometrics were more effective at enhancing a COD task than vertically directed plyometrics.
Medially directed exercises seem to enhance COD to a greater degree than vertical and horizontally directed exercises (12,14,24,30). According to the findings of this study, the LRSS is a more medially directed exercise. This satisfies step one in the creation of a theoretical basis for the LRSS's inclusion in a COD training program and provides it with the potential of enhancing COD more because it is medially directed (12,14,22,31). But, how is this potential going to be assessed? The second step in the construction of the theoretical rationale for the LRSS's inclusion is to determine whether the LRSS can enhance COD as the BS and MSLS did through a conditioning study (31). If its capacity to enhance COD is determined, the next step would then be to explicitly delineate whether medially directed LRSS training produces greater improvements in COD compared with vertically directed exercises such as the BS, MSLS, or horizontally directed exercises such as the hip thrust. If each step hypothesis is accepted, a sound theoretical basis will be provided for the LRSS's inclusion in the COD enhancement programs for athletes of various sports.
Two seemingly different populations were assessed in this study. Although there was a trend for the soccer players to have smaller angles for the COD and LRSS, it was not significant; thus, the data for all subjects were combined. What this might indicate though is that as strength and athleticism improve, it may be worthwhile to have the subject place the base foot beyond the bar end, further from the landmine base, to create a smaller angle when performing the LRSS. A longer bar might also be necessary when working with taller individuals and when the amount of weight being added to the bar interferes with the Zercher hold.
Practical Applications
To produce a meaningful improvement in COD performance and increase the likelihood athletes achieve success in competition, strength and conditioning professionals need to choose training exercises that replicate the movement plane and angle of force produced during the specific motor ability. Biomechanical analysis confirms that the LRSS closely resembles the frontal plane vector angle of a COD task in accordance with the force-vector theory. Thus, we suggest that strength and conditioning professionals implement the LRSS into their training programs to produce a superior improvement in COD performance.
Acknowledgments
The authors thank the subjects for their willingness to join us and the staff of the Boise State University Center for Orthopedics and Biomechanics research for their assistance.
Contributor Information
Chance Cooley, Email: chancecooley@u.boisestate.edu.
Derek A. Maddy, Email: derekmaddy@u.boisestate.edu.
References
- 1.Abade E, Silva N, Ferreira R, et al. Effects of adding vertical or horizontal force-vector exercises to in-season general strength training on jumping and sprinting performance of youth football players. J Strength Cond Res 35: 2769–2774, 2021. [DOI] [PubMed] [Google Scholar]
- 2.Besier TF, Lloyd DG, Ackland TR. Muscle activation strategies at the knee during running and cutting maneuvers. Med Sci Sports Exerc 35: 119–127, 2003. [DOI] [PubMed] [Google Scholar]
- 3.Brughelli M, Cronin J, Levin G, Chaouachi A. Understanding change of direction ability in sport. A review of resistance training studies. Sports Med 38: 1045–1063, 2008. [DOI] [PubMed] [Google Scholar]
- 4.Brzycki M. Strength testing: Predicting a one-rep max from reps-to-fatigue. J Phys Educ Recreat Dance 64: 88–90, 1993. [Google Scholar]
- 5.Castillo-Rodriguez A, Fernandez-Garcia JC, Chinchilla-Minguet JL, Carnero EA. Relationship between muscular strength and sprints with changes of direction. J Strength Cond Res 26: 725–732, 2012. [DOI] [PubMed] [Google Scholar]
- 6.Contreras B, Vigotsky AD, Schoenfeld BJ, et al. Effects of a six-week hip thrust vs. front squat resistance training program on performance in adolescent males: A randomized controlled trial. J Strength Cond Res 31: 999–1008, 2017. [DOI] [PubMed] [Google Scholar]
- 7.Creaby MW, Dixon SJ. External frontal plane loads may be associated with tibial stress fracture. Med Sci Sports Exerc 40: 1669–1674, 2008. [DOI] [PubMed] [Google Scholar]
- 8.Dawes J, Roozen M. Testing agility and quickness. In: Developing Agility and Quickness. Champaign, IL: Human Kinetics, 2012. pp. 35–54. [Google Scholar]
- 9.DiStasio TJ. Validation of the Brzycki and Epley Equations for the 1 Repetition Maximum Back Squat Test in Division I College Football Players [OpenSIUC thesis], 2014. [Google Scholar]
- 10.DosʼSantos T, Thomas C, Jones PA, Comfort P. Mechanical determinants of faster change of direction speed performance in male athletes. J Strength Cond Res 31: 696–705, 2017. [DOI] [PubMed] [Google Scholar]
- 11.Gleason BH, Kramer JB, Stone MH. Agility training for American football. Strength Cond J 37: 65–71, 2015. [Google Scholar]
- 12.González-García J, Morencos E, Balsalobre-Fernández C, Cuéllar-Rayo Á, Romero-Moraleda B. Effects of 7-week hip thrust versus back squat resistance training on performance in adolescent female soccer players. Sports 7: 80, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gonzalo-Skok O, Sanchez-Sabate J, Izquierdo-Lupon L, Saez de Villarreal E. Influence of force-vector and force application plyometric training in young elite basketball players. Eur J Sport Sci 19: 305–314, 2019. [DOI] [PubMed] [Google Scholar]
- 14.Henry GJ, Dawson B, Lay BS, Young WB. Relationships between reactive agility movement time and unilateral vertical, horizontal, and lateral jumps. J Strength Cond Res 30: 2514–2521, 2016. [DOI] [PubMed] [Google Scholar]
- 15.Herrick AB, Stone WJ. The effects of periodization versus progressive resistance exercise on upper and lower body strength in women. J Strength Cond Res 10: 72–76, 1996. [Google Scholar]
- 16.Hopkins W, Marshall S, Batterham A, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 41: 3–13, 2009. [DOI] [PubMed] [Google Scholar]
- 17.Jullien H, Bisch C, Largouet N, et al. Does a short period of lower limb strength training improve performance in field-based tests of running and agility in young professional soccer players? J Strength Cond Res 22: 404–411, 2008. [DOI] [PubMed] [Google Scholar]
- 18.Loturco I, Contreras B, Kobal R, et al. Vertically and horizontally directed muscle power exercises: Relationships with top-level sprint performance. PLoS One 13: e0201475, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Magil R, Anderson D. Motor abilities. In: Motor Learning and Control: Concepts and Applications (10th ed.). New York, NY: McGraw-Hill, 2017. pp. 52–67. [Google Scholar]
- 20.Marshall BM, Franklyn-Miller AD, King EA, et al. Biomechanical factors associated with time to complete a change of direction cutting maneuver. J Strength Cond Res 28: 2845–2851, 2014. [DOI] [PubMed] [Google Scholar]
- 21.McBride JM, Triplett-McBride T, Davie A, Newton RU. The effect of heavy- vs. light-load jump squats on the development of strength, power, and speed. J Strength Cond Res 16: 75–82, 2002. [PubMed] [Google Scholar]
- 22.McCormick BT, Hannon JC, Newton M, et al. The effects of frontal- and sagittal-plane plyometrics on change-of-direction speed and power in adolescent female basketball players. Int J Sports Physiol Perform 11: 102–107, 2016. [DOI] [PubMed] [Google Scholar]
- 23.McCurdy K, O'Kelley E, Kutz M, et al. Comparison of lower extremity EMG between the 2-leg squat and modified single-leg squat in female athletes. J Sport Rehabil 19: 57–70, 2010. [DOI] [PubMed] [Google Scholar]
- 24.McCurdy K, Walker J, Yuen D. Gluteus maximus and hamstring activation during selected weight-bearing resistance exercises. J Strength Cond Res 32: 594–601, 2018. [DOI] [PubMed] [Google Scholar]
- 25.McGuigan MR, Wright GA, Fleck SJ. Strength training for athletes: Does it really help sports performance? Int J Sports Physiol Perform 7: 2–5, 2012. [DOI] [PubMed] [Google Scholar]
- 26.Robbins DW, Goodale TL, Kuzmits FE, Adams AJ. Changes in the athletic profile of elite college American football players. J Strength Cond Res 27: 861–874, 2013. [DOI] [PubMed] [Google Scholar]
- 27.Schoenfeld BJ. Squatting kinematics and kinetics and their application to exercise performance. J Strength Cond Res 24: 3497–3506, 2010. [DOI] [PubMed] [Google Scholar]
- 28.Schwertman NC, Owens MA, Adnan R. A simple more general boxplot method for identifying outliers. Comput Stat Data Anal 47: 165–174, 2004. [Google Scholar]
- 29.Seymore KD, Fain AC, Lobb NJ, Brown TN. Sex and limb impact biomechanics associated with risk of injury during drop landing with body borne load. PLoS One 14: e0211129, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Sierer SP, Battaglini CL, Mihalik JP, Shields EW, Tomasini NT. The National Football League Combine: Performance differences between drafted and nondrafted players entering the 2004 and 2005 drafts. J Strength Cond Res 22: 6–12, 2008. [DOI] [PubMed] [Google Scholar]
- 31.Speirs DE, Bennett M, Finn CV, Turner A. Unilateral vs. bilateral squat training for strength sprints and agility in academy rugby players. J Strength Cond Res 30: 386–392, 2016. [DOI] [PubMed] [Google Scholar]
- 32.Spiteri T, Cochrane JL, Hart NH, Haff GG, Nimphius S. Effect of strength on plant foot kinetics and kinematics during a change of direction task. Eur J Sport Sci 13: 646–652, 2013. [DOI] [PubMed] [Google Scholar]
- 33.Suchomel TJ, Nimphius S, Stone MH. The importance of muscular strength in athletic performance. Sports Med 46: 1419–1449, 2016. [DOI] [PubMed] [Google Scholar]
- 34.Williams MJ, Gibson NV, Sorbie GG, et al. Activation of the gluteus maximus during performance of the back squat, split squat, and barbell hip thrust and the relationship with maximal sprinting. J Strength Cond Res 35: 16–24, 2021. [DOI] [PubMed] [Google Scholar]
- 35.Young WB, Dawson B, Henry GJ. Agility and change-of-direction speed are independent skills: Implications for training for agility in invasion sports. Int J Sports Sci Coach 10: 159–169, 2015. [Google Scholar]