Physical Determinants of Division 1 Collegiate Basketball, Women's National Basketball League, and Women's National Basketball Association Athletes: With Reference to Lower-Body Sidedness : The Journal of Strength & Conditioning Research

Secondary Logo

Journal Logo

Original Research

Physical Determinants of Division 1 Collegiate Basketball, Women's National Basketball League, and Women's National Basketball Association Athletes: With Reference to Lower-Body Sidedness

Spiteri, Tania1; Binetti, Molly2; Scanlan, Aaron T.3; Dalbo, Vincent J.3; Dolci, Filippo4; Specos, Christina5

Author Information
Journal of Strength and Conditioning Research 33(1):p 159-166, January 2019. | DOI: 10.1519/JSC.0000000000001905
  • Free

Abstract

Introduction

Basketball remains a popular sport worldwide, with high participation rates in many countries. For instance, basketball participation across various ages and genders ranks first and second among team sports in the United States (37) and Australia (2) in 2013–2014, respectively. Accordingly, basketball competitions are administered at various playing levels, with developmental pathways available to players for career progression in the sport. In women's basketball, Division I Collegiate competition serves as a developmental pathway into the elite Women's National Basketball Association (WNBA) in the United States. A similar hierarchy is also evident in Australia, with the elite Women's National Basketball League (WNBL) serving as an incoming pathway for collegiate athletes and an outgoing pathway for athletes into the WNBA. Despite this integrated nature of women's basketball in the United States and Australia, the physical attributes discriminating between playing levels and possibly contributing to success at the elite level have yet to be determined.

In elite-level basketball, the physical components of success are embodied by the ability of the athlete to generate power, decelerate and accelerate quickly, change direction in response to a stimulus, and possess adequate levels of cardiorespiratory and musculoskeletal endurance (1). Because of the importance of power and agility for on-court basketball success, training programs frequently focus on increasing these properties in athletes across various playing levels (21). Numerous studies have attempted to provide normative data for sport-specific physical attributes using various testing protocols in basketball players, with the majority of available data representative of male athletes (1,3,8,14,20,24,27,38). Some studies have used a combination of sprint and change of direction (COD) speed tests to assess acceleration, maximal speed, and agility performance (1,14,27), whereas other studies have adopted tests to assess lower-body strength and power in basketball players (1,3,8,20).

Explosive power and force production of the lower limbs determined from countermovement jump (CMJ) performance have been shown to be a strong predictor of playing time in men's basketball (10), with elite male athletes producing significantly greater peak power outputs during CMJ compared with novice counterparts (3). Although limited research exists for female basketball athletes, it appears that a superior jump performance is a deterministic factor for higher team selection in other elite female sports, such as volleyball (29). Moreover, the ability to decelerate and accelerate to execute directional changes has also been considered a physiological prerequisite for basketball performance (5,34). Despite differences in COD speed being identified between playing levels (3) and positions (3,27) in men's basketball, research has only reported moderate correlations to total playing time. Although the high-intensity intermittent nature of basketball requires athletes to perform multiple directional changes, they are often executed in response to an external stimulus (26,33,35), which may explain the lack of correlation between a preplanned COD movement and playing time. This integration between movement execution and decision-making ability, assessed via agility tests, has been shown to replicate the temporal and spatial demands of team sports (30) and has been shown to discriminate between starters and nonstarters (28) and playing levels (14) in male basketball athletes. However, despite these findings, there is a distinct lack of research assessing agility performance in female basketball.

During a typical basketball game, female athletes execute 35–45 jumps and change speed and/or direction every 1.4–2.8 seconds (16,25). To execute these movements, proficiency into the left and right is required for effective positioning and function on court. Time-motion analyses reveal athletes are required to perform multiple unilateral movements throughout a game, including directional changes, layups, and single-leg vertical jumps (4), inherently suggesting some level of imbalance may be observed in basketball athletes because of the imposed movement demands. Previous research has demonstrated that muscular imbalances negatively affect performance outcomes and increase the risk of injury incidence (1,6,15,23). Therefore, it is of practical relevance to examine and compare the level of movement deficiency between limbs, as athletes with a reduced imbalance may be more proficient at executing functional movements on court, potentially separating themselves from lower level players.

Therefore, the purpose of this study was to present data on lower-body power, COD speed, agility, and lower-body sidedness of female basketball athletes participating in Division 1 Collegiate basketball (United States), WNBL (Australia), and WNBA (United States) leagues. This data will be compared between playing levels to determine the importance of these physical attributes relative to each playing league and in the process identify qualities required to progress to higher player levels in women's basketball. As athletes competing in the WNBA are considered elite-level players participating at the highest playing level in women's basketball, it is hypothesized that WNBA athletes will possess greater lower-body power and reduced lower-body sidedness and produce a faster COD and agility performance in comparison with WNBL and Collegiate athletes.

Methods

Experimental Approach to the Problem

A cross-sectional design was used to identify differences in physical attributes (lower-body power, COD speed, agility, and sidedness) between Division I Collegiate basketball, WNBL, and WNBA athletes. Subjects were required to attend one testing session, which consisted of a series of jump assessments, including a CMJ (double- and single-leg left and right), static jump, and drop jump; a 5-0-5 COD test; and an offensive and a defensive agility test. These assessments of lower-body power, COD speed, agility, and sidedness were chosen as female basketball athletes are required to perform multiple jumps and undergo frequent changes in movement direction and speed during game play, highlighting the relevance of such athletic movements to performance (16,25). All testing occurred on an indoor basketball court, before any scheduled training sessions for that week. Before testing, a standardized 10-minute dynamic warm-up was performed. Subjects were instructed to refrain from performing any strenuous activity or lower-body resistance training within 48 hours of their assigned testing session.

Subjects

Forty-five (N = 45) female basketball athletes, consisting of 15 Division I Collegiate athletes, 15 WNBL athletes, and 15 WNBA athletes, were recruited for this study (Table 1). Athletes were required to have played basketball for a minimum of 5 years and partake in a minimum of 1 competitive game and 2 structured skill-based training sessions each week, in which jumping and COD movements formed part of the regular on-court training regime. Data collection occurred after preseason training for all athletes to ensure adequate fitness and minimal fatigue as a result of in-season competitive games. All athletes were required to be injury free at the time of testing and report no history of major lower limb injuries, such as anterior cruciate ligament injuries. Ethics approval was obtained from an Institutional Human Research Ethics Committee before testing, and all testing procedures were explained to athletes before obtaining informed consent to participate.

T1
Table 1.:
Subject demographics (mean ± SD) in Division 1 Collegiate basketball, Women's National Basketball League (WNBL), and Women's National Basketball Association (WNBA) athletes.*

Procedures

Countermovement Jump Assessments

The double-leg CMJ assessment was conducted with athletes positioning their hands on a carbon fiber pole held on the superior surface of the upper trapezius muscle and placing their feet shoulder width apart (36). This starting position was chosen to reduce the involvement of arm swing during the jump, which has been shown to influence vertical jump performance (17). Athletes lowered to a self-selected depth while being instructed to “jump as high as possible,” similar to previous research (7). Single-leg left and right CMJ required a similar starting position to the CMJ; however, the nonsupport leg was flexed to 90° while athletes stood standing on the support leg to complete the required jump (18). Athletes lowered to a self-selected depth and were instructed to jump as high as possible, landing on the same leg used to perform the jump.

Athletes then completed a static jump, starting in an isometric squat position, with a 90° knee angle as monitored by a goniometer and an elastic band placed around the back of the squat rack (11). Athletes then performed a concentric-only action, jumping vertically for maximal height (11). For the drop jump protocol, athletes began standing on a 30-cm box with their hands positioned on a carbon fiber pole held on the superior surface of the upper trapezius muscle. Athletes were then instructed to step-off the box, land, and jump vertically for maximum height while minimizing ground contact time (15).

Each jump assessment was separated by a 2-minute passive rest period, with athletes completing 3 trials of each jump assessment, 30 seconds apart. All jumps were performed on a portable force plate sampling at 600 Hz (400 Series Performance Plate; Fitness Technology, Adelaide, SA, Australia), with the force trace for each jump collected using the Ballistic Measurement System Software (Version 3.4; Fitness Technology). Variables of interest for all jump trials included average jump height (cm), average relative peak force (N·kg−1), and average relative peak power (W·kg−1).

5-0-5 Change of Direction Test

The 5-0-5 COD test required athletes to start behind a set of timing lights (Fusion Sport, Queensland, Australia), sprint 10 m in a straight line through a second set of timing lights, continue sprinting in a straight line a further 5 m before planting their foot on a marked line, turning 180°, and sprint 5 m back through timing lights to complete the test (36). Athletes completed 6 trials, with 3 trials involving planting and changing direction with the right leg and 3 trials with the left leg.

Trials were completed in a randomized ordered, with athletes instructed verbally before completing each trial as to which direction (left or right) to run and change direction. Each COD trial was separated by a 30-second rest period. Approach speed (s) across the first 10 m and COD time (s), calculated as the time taken to run 5 m after triggering the second set of timing lights, turn 180°, and sprint 5 m back through the timing lights were taken as outcome measures and averaged across the 3 trials for each leg.

Offensive and Defensive Agility Tests

The offensive and defensive agility tests required athletes to start behind a set of timing lights (Fusion Sport) and sprint 10 m in a straight line through a second set of timing lights (Figure 1). Triggering the second set of timing lights resulted in a light stimulus to illuminate on an additional set of timing lights positioned 5 m away at 45° angles to the left and right of the second set of timing gates (33,35). Athletes were required to respond to the light stimulus by performing a 45 ± 5° cut, sprinting a final 5 m to complete the test. The delay for the light stimulus to appear after passing through the second set of timing gates was set at 0 seconds in the Smartbase software (Fusion Sport). The order (left or right) for the light to appear was set at random so that the athletes could not anticipate the direction of travel. Athletes were required to perform 2 trials changing direction toward the light stimulus (termed defensive agility) and 2 trials changing direction in the opposition direction to the light stimulus (termed offensive agility), similar to previous research (33,35). Each agility trial was separated by a 30-second rest period. Approach speed (s) across the first 10 m and agility time (s) calculated as the time taken to run 5 m after triggering the second set of timing lights and passing through the final set of timing lights were averaged across the 2 trials for each agility condition. The offensive and defensive agility tests have been shown to be the reliable assessments of agility performance in basketball athletes (intraclass correlation coefficient [ICC] = 0.8, coefficient of variation [CV] = 4.77%) (33,35).

F1
Figure 1.:
Layout of the offensive and defensive agility tests.

Statistical Analyses

All statistical comparisons were performed using a statistical analysis program (Version 19.0; IBM SPSS Statistics, Chicago, IL, USA) with significance set at p ≤ 0.05. The Shapiro-Wilks statistic and Levene's test for equality in variances were conducted for all data and confirmed normality and homogeneity of variances. As a result, differences in physical characteristics (height, body mass, and age) and performance outcomes (jump, COD, and agility assessments) between each playing level (Collegiate, WNBL, and WNBA) were compared using separate 1-way analysis of variances. When applicable, a Tukey post hoc test was used to determine the source of any significant differences. Separate dependent t-tests with follow-up Bonferonni corrections were performed to compare lower-body sidedness (left vs. right lower limbs) during the single-leg CMJ jumps (vertical jump height) and the 5-0-5 COD test (COD time for each limb) within each playing level. Effect sizes (d) were calculated for group comparisons by dividing the difference between groups by the pooled SD (6). The magnitudes of effect size calculations were interpreted following Hopkins' guidelines (12), with the following descriptors: trivial = 0–0.1; small = 0.11–0.3; moderate = 0.31–0.5; large = 0.51–0.7; very large = 0.71–0.9.

Results

Performance outcome measures for each playing level are presented in Tables 2 and 3. The WNBA athletes demonstrated significantly greater jump height during the right single- (p = 0.03), left single- (p = 0.02), and double- (p = 0.03) leg CMJs and relative peak power during the right single- (p = 0.01), left single- (p = 0.01), and double- (p = 0.02) leg CMJs compared with WNBL athletes (Table 2). In contrast, jump measures for Collegiate athletes did not significantly differ from WNBL or WNBA athletes. Although no significant difference was observed in static jump performance or drop jump height between leagues (Table 2), WNBA athletes produced significantly greater relative peak force (p = 0.03) compared with WNBL athletes. Interpreting COD performance (Table 3), WNBA athletes demonstrated a significantly faster approach time (vs. WNBL: right, p = 0.03; left, p = 0.03; vs. Collegiate: right, p = 0.02) and COD time (vs. WNBL: right, p = 0.02; left, p = 0.02; vs. Collegiate: right, p = 0.03; left, p = 0.03) than the other playing groups. Furthermore, WNBL players possessed a significantly faster right approach time (p = 0.02) than Collegiate athletes during the COD assessment. In the offensive and defensive agility tests, defensive approach time (p = 0.02), defensive COD time (p = 0.01), and offensive COD time (p = 0.02) were significantly faster in WNBA athletes compared with Collegiate athletes. Furthermore, WNBA athletes produced a significantly faster defensive COD time than WNBL athletes (p = 0.03) and WNBL athletes had a significantly quicker defensive COD time compared with Collegiate athletes (p = 0.02).

T2
Table 2.:
Vertical jump tests (mean ± SD) in Division 1 Collegiate, Women's National Basketball League (WNBL), and Women's National Basketball Association (WNBA) athletes.*
T3
Table 3.:
Change of direction (COD) and agility tests (mean ± SD) in Division 1 Collegiate, Women's National Basketball League (WNBL), and Women's National Basketball Association (WNBA) athletes.*

Differences (percentage) between lower limbs during single-leg CMJ performance and left and right COD time are presented in Figure 2. Across all playing levels, greater CMJ height and faster COD time were observed when athletes were using their left leg. Although nonsignificant differences were observed, Collegiate athletes demonstrated a greater imbalance (percentage) during the single-leg CMJ and COD test, followed by WNBL athletes and WNBA athletes.

F2
Figure 2.:
Percent difference between right and left limbs assessed during the single-leg countermovement jumps and 5-0-5 change of direction (COD) tests in Division 1 Collegiate (n = 15), Women's National Basketball League (WNBL) (n = 15), and Women's National Basketball Association (WNBA) (n = 15) athletes. Positive difference indicates imbalance toward the left limb.

Discussion

This study is the first to compare physical attributes between 3 different leagues (Division I Collegiate, WNBL, and WNBA) in female basketball. The provided data will assist to determine the physical attributes that separate these athletes, with a view to understanding factors that are important for competing at higher playing levels in female basketball. The results are in support of the hypothesis demonstrating that WNBA athletes display greater lower-body power, faster COD speed, and superior agility performance compared with WNBL and Collegiate athletes. Furthermore, WNBA and WNBL athletes exhibit reduced lower-body sidedness as compared with Collegiate athletes. These findings emphasize (a) the importance of well-developed physical qualities, specifically lower-body power, to enable a greater jump height and (b) that superior COD ability and reduced lower-body imbalance may enable female basketball athletes to compete at higher playing levels.

Increased muscular power is a prerequisite for many team sports that require athletes to produce a great amount of force within short time periods (31,40). The execution of explosive and dynamic movements in basketball, including vertical jumps, is well documented (4,19), highlighting the importance of increased lower-body power for basketball athletes. Findings of the current study indicate that WNBA athletes possess greater lower-body power and vertical jump height during double- and single-leg CMJ compared with WNBL athletes. Interestingly, all CMJ outcome measures did not differ between Collegiate athletes and WNBA or WNBL athletes, respectively (Table 1). These findings are in agreement with previous research examining male basketball athletes, where greater lower-body power and vertical jump height were observed in elite-level athletes (22,23). As no differences were observed in static jump performance between the 3 different leagues, we can assume that optimization of lower-body stretch-shortening cycle capability is an important factor to compete at higher playing levels. Furthermore, despite no differences observed in force application during CMJ, WNBA athletes produced significantly greater peak force during the drop jump compared with WNBL athletes. These findings indicate that WNBA athletes are able to rapidly load and tolerate a greater eccentric load, increasing the muscle capability to store and use elastic energy (10) to achieve a greater jump height. This finding is particularly relevant in basketball, enabling athletes to execute explosive on-court movements, including layups, rebounding, and blocking opposition shots at the basket to achieve both and offensive and defensive advantages during the game.

The ability to rapidly load and tolerate a greater eccentric load may also have direct implications for COD performance. Change of direction ability is an important physical attribute in basketball, with elite male athletes executing 50–60 changes in movement direction and speed (4) throughout the duration of a game. Findings from the current study support previous research observing a faster 5-0-5 COD performance in elite basketball athletes (9), with WNBA athletes producing a superior 5-0-5 COD time and approaching the 180° directional change significantly faster compared with WNBL and Collegiate athletes (Table 2). Faster approach speeds observed during COD tests have been associated with increased braking forces (32) during the deceleration phase, promoting the storage and use of elastic energy to increase propulsive ability and acceleration in the new movement direction (32). In particular, the high-velocity 180° directional change requires athletes to absorb an increased eccentric load as the muscle lengthens to aid deceleration, requiring athletes to possess sufficient eccentric strength to enable a faster directional change (32,34). Additionally, research has observed a strong and significant correlation between drop jump performance and COD tests, suggesting that shorter contact times and the ability to tolerate a greater eccentric load result in the development of sufficient muscle power through stretch-shortening cycle actions (12,14). These findings may explain why WNBA athletes produced a faster 5-0-5 COD performance compared with WNBL and Collegiate athletes. Although the 5-0-5 COD replicates specific on-court movements, such as a backdoor cut, it fails to replicate the reactive nature in which directional changes are performed in game scenarios.

During a basketball game, athletes are confronted with multiple offensive and defensive scenarios, requiring sufficient physical and technical attributes to execute required movement, in addition to a fast and accurate decision-making ability to successively maneuver about the court (33). As a result, athletes often engage in offensive and defensive agility movements during games to evade or pursue opponents and gain positional advantage. Findings of the current study indicate that WNBA athletes produced faster offensive and defensive agility performances compared with WNBL and Collegiate athletes, emphasizing the importance of agility performance to succeed at the elite level in female basketball (24,26,33). It is well established that a combination of physical, technical, and perceptual-cognitive qualities are required to execute a fast and accurate agility performance (14). Although decision making was not directly measured during this study, this finding supports previous agility research (28) demonstrating the importance of perceptual-cognitive ability to separate between higher and lower level athletes and a key attribute required to succeed at higher playing levels (33). Interestingly, defensive agility was found to best discriminate between leagues, with WNBL athletes producing a faster defensive agility time compared with Collegiate athletes. Although athletes' physical attributes may contribute to the observed difference in agility performance, this finding supports the notion that an athlete's ability to read and respond to opposing players' movements on court may be a critical factor to compete at higher playing levels compared with offensive ability, which in some instances can be more premeditated through specific plays and positioning on court. Producing a delayed response to a stimulus in both offensive and defensive scenarios has been shown to affect movement output (4,7,27,32), decreasing the amount of muscle preactivation (35) and force application negatively affecting agility performance in basketball athletes. Therefore, it appears that the ability to successfully read the play and determine the correct movement direction sooner is an important characteristic for female basketball athletes to compete at higher playing levels.

Although it is advantageous for athletes to be proficient at executing movements equally to the left and right, athletes may become predisposed to favor a certain limb when executing unilateral on-court movements, including directional changes, vertical jumps, and layups, leading to the development of a lower-body muscular imbalance. In the current study, WNBA and WNBL athletes exhibited reduced lower-body sidedness during single-leg CMJ and 5-0-5 COD assessments compared with Collegiate athletes. This finding aligns with previous research observing that a reduced imbalance improves performance outcomes (13) in female athletes. Although the precise factors contributing to the degree of sidedness observed in the current population are unknown, it appears that reduced lower-body sidedness results in proficient execution of on-court movements required to compete at higher levels of play. Interestingly, across all leagues, lower-body sidedness is favored toward the left limb. Again, although the precise mechanisms for this observed differences are unknown, we can assume that if the majority of athletes in the current study were right hand dominant, they would be trained to leap from their left leg when creating various scoring opportunities. For example, if athletes drive to the basket using their right hand performing a layup, the final step in the 2-step sequence would be the left leg requiring athletes to leap off this leg creating vertical displacement to increase scoring success. Therefore, strength training programs may need to emphasize the development of strength and power qualities in both the dominant and nondominant legs, particularly in younger athletes at the Collegiate level to compensate for potential imbalances developed during game play.

This is the first study to compare female basketball athletes across 3 different leagues (Division I Collegiate, WNBL, and WNBA) to determine the physical attributes that separate these athletes to better understand factors that are important to compete at higher playing levels. Despite the novel findings of this study, there are limitations that require acknowledgment. First, although subjects were required to perform a sidestepping-only directional change, the limb used to change direction during the offensive and defensive agility tests was not monitored. Therefore, we cannot conclude if a sidedness or cognitive deficit are the reason for the observed differences in agility performance. Furthermore, although we can infer in part that differences between athletes' performance during the agility tests were because of differences in perceptual-cognitive ability, a true measure of reaction time was not performed. Additionally, training load and history were not recorded in the current study, which may have provided further insight into the findings presented. Although previous research has stated that early athletic development is desirable for success at the elite level (39), future research should aim to investigate the impact of training history on performance and playing level in female basketball athletes. The findings of this study are also limited to 3 individual basketball teams, making further comparisons between positional groups challenging because of small sample sizes. Future research should seek to compare position-specific data between leagues to determine if physical qualities further differ based on functional roles and the reliance of different physical attributes across playing positions (3).

Practical Applications

The current study provides evidence for the importance of lower-body power, COD, and agility in female basketball athletes to compete at higher playing levels. Specifically, developing lower-body power and importantly the stretch-shortening cycle ability of the muscle through Olympic lifting and plyometric exercises to increase vertical jump height during competition appears crucial to compete at a higher playing level. It appears that the development of eccentric strength, similar to previous research (40), would assist to improve athletes' COD ability. Prescribing squats, power cleans, or plyometric exercises and emphasizing the eccentric phase of the movement will develop an athlete's ability to tolerate a greater eccentric load assisting athletes to decelerate sooner improving on-court COD movements. During a basketball game, a majority of movements are executed using a single limb (4), which may predispose athletes to develop a lower-body muscular imbalance as observed in the current study. As a result, strength training programs should aim to develop strength and power qualities in dominant and nondominant limbs to reduce the level of sidedness, a characteristic apparent in the present study across various levels of female basketball athletes. Although an athlete's physical development is important, training perceptual-cognitive ability should be equally addressed. Incorporating drills that couple perception and action, e.g., executing various directional changes in response to different verbal or visual cues, to develop an athletes' agility performance would be beneficial for female basketball athletes to compete at higher playing levels.

References

1. Alemdaroğlu U. The relationship between muscle strength, anaerobic performance, agility, sprint ability and vertical jump performance in professional basketball players. J Hum Kinet 31: 149–158, 2012.
2. Australia B. Key facts. 2014. Available at: www.act.basketball.net.au/index.php?id=185. Accessed: May 10, 2016.
3. Ben Abdelkrim N, Chaouachi A, Chamari K, Chtara M, Castagna C. Positional role and competitive-level differences in elite-level men's basketball players. J Strength Cond Res 24: 1346–1355, 2010.
4. Bishop D, Wright C. A time-motion analysis of professional basketball to determine the relationship between three activity profiles: High, medium and low intensity and the length of the time spent on court. Int J Perf Anal Sport 6: 130–139, 2006.
5. Chaouachi A, Brughelli M, Chamari K, Levin G, Ben Abdelkrim N, Laurencelle L, et al. Lower limb maximal dynamic strength and agility determinants in elite basketball players. J Strength Cond Res 23: 1570–1577, 2009.
6. Cohen J. The T-Test for Means. In: 2nd ed. Statistical Power Analysis for the Behavioural Sciences. Hillsdale, NJ: Lawrence Earlbaum Associates, 1988. pp. 19–74.
7. Cormack S, Newton R, McGuigan M, Doyle J. Reliability of measures obtained during single and repeated countermovement jumps. Int J Sports Physiol Perf 3: 131–144, 2008.
8. Dawes J, Marshall M, Spiteri T. Relationship between pre-season testing performance and playing time in NCAA DII basketball players. Sport Exerc Med 2: 47–54, 2016.
9. Delextrat A, Grosgeorge B, Bieuzen F. Determinants of performance in a new test of planned agility for young elite basketball players. Int J Sports Physiol Perform 10: 160–165, 2015.
10. Hoffman JR, Fry AC, Howard R, Maresh CM, Kraemer WJ. Strength, speed and endurance changes during the course of a Division I basketball season. J Strength Cond Res 5: 144–149, 1991.
11. Holt BW, Lambourne K. The impact of different warm-up protocols on vertical jump performance in male collegiate athletes. J Strength Cond Res 22: 226–229, 2008.
12. Hopkins WG. A new view of statistics. Internet Society for Sport Science: http://www.sportsci.org/resource/stats/. 2002.
13. Landry SC, McKean KA, Hubley-Kozey CL, Stanish WD, Deluzio KJ. Neuromuscular and lower limb biomechanical differences exist between male and female elite adolescent soccer players during an unanticipated run and crosscut maneuver. Am J Sports Med 35: 1901–1911, 2007.
14. Lockie R, Jeffriess M, McGann T, Callaghan S, Schultz A. Planned and reactive agility performance in semi-professional and amateur basketball players. Int J Sports Physiol Perf 9: 767–772, 2014.
15. Markwick W, Bird S, Tufano J, Seitz L, Haff G. The intraday reliability of the reactive strength index calculated from a drop jump in professional men's basketball. Int J Sports Physiol Perf 10: 482–488, 2015.
16. Matthew D, Delextrat A. Heart rate, blood lactate concentration, and time-motion analysis of female basketball players during competition. J Sports Sci 27: 813–821, 2009.
17. McBride JM, Nimphius S, Erikson TM. The acute effects of heavy-load squats and loaded countermovement jumps on sprint performance. J Strength Cond Res 19: 893–898, 2005.
18. McElveen M, Riemann B, Davies G. Bilateral comparison of propulsion mechanics during single-leg vertical jumping. J Strength Cond Res 24: 375–381, 2010.
19. McInnes S, Carlson J, Jones C, McKenna M. The physiological load imposed on basketball players during competition. J Sports Sci 13: 387–397, 1995.
20. Metaxas T, Koutlianos N, Sendelides T, Mandroukas A. Preseason physiological profile of soccer and basketball players in different divisions. J Strength Cond Res 23: 1704–1713, 2009.
21. Montgomery PG, Pyne DB, Minahan CL. The physical and physiological demands of basketball training and competition. Int J Sports Physiol Perform 5: 75–86, 2010.
22. Ostojic SM, Mazic S, Dikic N. Profiling in basketball: Physical and physiological characteristics of elite players. J Strength Cond Res 20: 740–744, 2006.
23. Peterson MD, Alvar BA, Reha MR. The contribution of maximal force production to explosive movement among young collegiate athletes. J Strength Cond Res 20: 867–873, 2006.
24. Sallet P, Perrier D, Ferret J, Vitelli V, Baverel G. Physiological differences in professional basketball players as a function of playing position and level of play. J Sports Med Phys Fitness 45: 291–294, 2005.
25. Scanlan A, Dascombe B, Reaburn P, Dalbo V. The physiological and activity demands experienced by Australian female basketball players during competition. J Sci Med Sport 15: 341–347, 2012.
26. Scanlan A, Humphries B, Tucker P, Dalbo V. The influence of physical and cognitive factors on reactive agility performance in men basketball players. J Sport Sci 32: 367–374, 2014.
27. Scanlan A, Tucker P, Dalbo V. A comparison of linear speed, closed-skill agility, and open-skill agility qualities between backcourt and frontcourt adult semiprofessional male basketball players. J Strength Cond Res 28: 1319–1327, 2014.
28. Scanlan A, Tucker P, Dalbo V. The importance of open- and closed-skill agility for team selection of adult male basketball players. J Sport Med Phys Fitness 55: 390–396, 2015.
29. Schaal M, Ransdell L, Simonson S, Gao Y. Physiologic performance test differences in female volleyball athletes by competition level and player position. J Strength Cond Res 27: 1841–1850, 2013.
30. Sheppard J, Young W. Agility literature review: Classifications, training and testing. J Sports Sci 24: 915–928, 2006.
31. Sleivert G, Taingahue M. The relationship between maximal jump-squat power and sprint acceleration in athletes. Eur J Appl Physiol 91: 46–52, 2004.
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.
33. Spiteri T, Hart NH, Nimphius S. Offensive and defensive agility: A sex comparison of lower body kinematics and ground reaction forces. J Appl Biomech 30: 514–520, 2014.
34. Spiteri T, Newton RU, Binetti M, Hart NH, Sheppard JM, Nimphius S. Mechanical determinants of faster change of direction and agility performance in female basketball athletes. J Strength Cond Res 29: 2205–2214, 2015.
35. Spiteri T, Newton RU, Nimphius S. Neuromuscular strategies contributing to faster multidirectional agility performance. J Electromyogr Kinesiol 25: 629–636, 2015.
36. Spiteri T, Nimphius S, Hart N, Specos C, Sheppard J, Newton RU. Contribution of strength characteristics to change of direction and agility performance in female basketball athletes. J Strength Cond Res 28: 2415–2423, 2014.
37. Statista. Number of participants in team sports in the U.S. 2013. 2013. Available at: http://www.statista.com/statistics/190273/number-of-participants-in-team-sports-in-the-us-in-2009/. Accessed: May 10, 2016.
38. Stojanovic M, Ostojic S, Calleja González J, Milosevic Z, Mikic M. Correlation between explosive strength, aerobic power and repeated sprint ability in elite basketball players. J Sport Med Phys Fitness 52: 375–381, 2012.
39. Vaeyens R, Lenoir M, Williams AM, Philippaerts RM. Talent identification and development programmes in sport: Current models and future directions. Sports Med 38: 703–714, 2008.
40. Young WB, James R, Montgomery I. Is muscle power related to running speed with changes of direction? J Sport Med Phys Fitness 42: 282–288, 2002.
Keywords:

change of direction; agility; speed; power; muscular imbalances; decision making; WNBA

© 2017 National Strength and Conditioning Association