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The Validation of a Portable Dual-Force Plate System for Assessing Countermovement Jump Performance
Grace E. Crowder1*, Brett S. Pexa2, Kevin R. Ford3, and Justin P. Waxman1
1Department of Exercise Science, High Point University, High Point, NC
2Department of Athletic Training, High Point University, High Point, NC
3Department of Physical Therapy, High Point University, High Point, NC
Email: *gcrowder@highpoint.edu
Introduction
The analysis of kinetic data recorded via force platforms and
their associated software is becoming increasingly common in
the sport performance and injury literature, as portable systems
allow for greater opportunity to screen athletes on a massive
scale. However, understanding the validity of such systems is
necessary prior to their widespread use. Therefore, the purpose
of this study was to validate the use of a portable dual-force
platform against the current gold standard. We hypothesized
that the portable system would be a valid measurement tool.
Methods
As part of their pre-season screening, 69 NCAA Division-I
athletes (19.5 ± 1.3 yr, 1.8 ± 0.1 m, 79.0 ± 9.1 kg) performed
three maximal-effort countermovement jumps (CMJ) on two
separate force-plate systems. System #1 (Method A; gold
standard) consisted of two laboratory grade in-ground force
plates (AMTI, Watertown, MA) sampling at 1200 Hz, whereas
system #2 (Method B) consisted of a portable dual-force plate
system (Hawkin Dynamics, ME) sampling at 1000 Hz. Both
systems were integrated with their respective manufacturer-
provided software for data collection and reduction. Athletes
were allowed to swing their arms, and were instructed to jump
with maximal effort. Three-trial averages were calculated for
each athlete’s velocity at takeoff and vertical jump height.
Validity was assessed via Pearson’s correlation coefficients
between the two methods. Bland-Altman plots and 95% limits
of agreement (LOA) analysis were then used to assess absolute
measurement consistency between the two methods.1,2
Results and Discussion
Pearson’s correlation coefficients indicated strong positive
associations between methods for both take-off velocity (r =
0.862, r2 = 0.743; p < .001) and jump height (r = 0.863, r2 =
0.745; p < .001). Bland-Altman plots displaying the mean
difference between methods for take-off velocity and jump
height are shown in Figure 1A and 1B. LOA analyses (absolute
measurement error) revealed good agreement between methods
with mean differences (Method A – Method B) of 0.03 m/s
(95%LOA: 0.24, 0.30 m/s) and 0.26 cm (95%LOA: -7.10, 7.63
cm) for take-off velocity and jump height, respectively. In 95%
of the cases, jump height recorded using the portable system
(Method B) could be expected to range anywhere from 7.10 cm
lower to 7.63 cm higher than that measured by the gold standard
(Method A; Figure 1B). In support of our hypothesis, and in
agreement with prior work 3, these results indicate that the
portable dual-force plate system examined is a valid method for
evaluating CMJ performance. Figure 1A,B shows that mean
differences are reduced as take-off velocities and jump heights
increase, suggesting that the current findings may have been
influenced by within-subject factors such as individual effort or
level of experience. Allowing athletes to swing their arms
during CMJ trials may have also been a factor.
Figure 1. Bland-Altman plot displaying the mean difference
and 95% limits of agreement for vertical velocity at takeoff
[A] and maximal vertical jump height [B].
Significance
Portable force plates allow for more cost-effective options to
screen athletes outside of the laboratory. Although jump mats
and other inexpensive pieces of equipment can also be used to
assess vertical jump height, a portable dual-force system can
provide researchers and practitioners with force-derived
metrics in addition to information regarding asymmetrical
loading, countermovement depth, rate of force development,
etc.; and can thus serve a variety of applications. More on-site
athlete screenings may help improve performance techniques
and reduce injury risk.
References
1. Altman DG, Bland JK. Measurement in medicine: the
analysis of method comparison studies. Statistician
1983;32:307-17.
2. Bland JK, Altman DG. Measuring agreement in method
comparison studies. Stat Methods Med Res 1999;8:135-60.
3. Walsh MS, et al. The validation of a portable force plate for
measuring force-time data during jumping and landing
tasks. J. Strength Cond. Res. 2006,20(4):730-734.
A
B