Figure 2: Illustration of the rotational tests performed on the left foot. The centre diagram shows the maximum reach scores
of the eight subjects, the figures to the right and left show the postural setup and point out joint angles that correlated with
the reach performance (
T
=statistical trend). L=left, R=right, IR=internal rotation, ER=external rotation, Hor Add=horizontal
adduction.
(McGill et al., 2012). Tests for joint mobility based
on “real-life” tasks such as reach tests should
therefore consider balance and joint stability in their
assessment.
Furthermore, reach distance correlated with
anthropometric variables indicating that
normalization or scaling of the anthropometric
properties is important for comparison between
subjects. In addition, joint mobility achieved during
the reach tests has to be analysed relative to
established reference values for joint mobility.
In conclusion, reach tests starting from upright
standing positions challenge joint mobility in a more
natural and specific way compared to conventional
mobility tests and appears to be more relevant to
activities of daily living and athletic performance. It
may be worth to further investigate this approach,
however, several additional issues such as joint
stability, counterbalancing of body weight, and
scaling will also have to be addressed.
ACKNOWLEDGEMENTS
The contribution of Ghelem, A. and Parnevik-Muth,
J. in developing the reach test battery was
instrumental and is thankfully acknowledged.
REFERENCES
Bahr, R., & Krosshaug, T. (2005). Understanding injury
mechanisms: a key component of preventing injuries
in sport. British Journal of Sports Medicine, 39(6),
324-329.
Cook, G., Burton, L., & Hoogenboom, B. (2006a). Pre-
participation screening: the use of fundamental
movements as an assessment of function - part 1.
North American Journal of Sports Physical Therapy,
1(2), 62-72.
Cook, G., Burton, L., & Hoogenboom, B. (2006b). Pre-
participation screening: the use of fundamental
movements as an assessment of function - part 2.
North American Journal of Sports Physical Therapy,
1(3), 132-139.
Delahunt, E., Chawke, M., Kelleher, J., Murphy, K.,
Prendiville, A., Sweeny, L., et al. (2013). Lower limb
kinematics and dynamic postural stability in anterior
cruciate ligament-reconstructed female athletes.
Journal of Athletic Training, 48(2), 172-185.
Federolf, P., Reid, R., Gilgien, M., Haugen, P., Smith, G.
(in press). The application of principal component
analysis to quantify technique in sports. Scandinavian
Journal of Medicine & Science in Sports.
doi: 10.1111/j.1600-0838.2012.01455.x.
Frost, D., Andersen, J., Lam, T., Finlay, T., Darby, K., &
McGill, S. (2013). The relationship between general
measures of fitness, passive range of motion and
whole-body movement quality. Ergonomics, 56(4),
637-649.
Kiesel, K., Plisky, P. J., & Voight, M. L. (2007). Can
Serious Injury in Professional Football be Predicted by
a Preseason Functional Movement Screen? North
American Journal of Sports Physical Therapy, 2(3),
147-158.
McGill, S. M., Andersen, J. T., & Horne, A. D. (2012).
Predicting performance and injury resilience from
movement quality and fitness scores in a basketball
team over 2 years. Journal of Strength and
Conditioning Research, 26(7), 1731-1739.
Plisky, P. J., Rauh, M. J., Kaminski, T. W., & Underwood,
F. B. (2006). Star Excursion Balance Test as a
predictor of lower extremity injury in high school
basketball players. The Journal of Orthopaedic and
Sports Physical Therapy, 36(12), 911-919.