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conferenceseries
.com
Volume 7, Issue 6 (Suppl)
J Nov Physiother
ISSN: 2165-7025 JNP, an open access journal
Physiotherapy 2017
November 27-29, 2017
November 27-29, 2017 Dubai, UAE
5
th
International Conference on
Physiotherapy
The repeatability of lower limb biomechanical variables during a sidestep 90 and 135 degree cutting
tasks
Ayman Alhammad, Jones R, Herrington L and Jones P
University of Salford, United Kingdom
Introduction & Aim:
Change of direction (cutting) manoeuvres are important for many field sports, however, they are
unfortunately associated with non-contact ACL injuries. Particularly, changes in the frontal plane angle of the knee during
cutting are thought to predict an increased risk of non-contact ACL injury. High knee abduction angles during cutting tasks
are associated with joint positions including increased hip flexion, adduction and internal rotation angles. So, it is important to
look at the correlation between dynamic knee-valgus variables and lower extremity kinematics. However, our understanding
of the hip movement and the relationship to ACL injury mechanism throughout side-step cutting tasks at 90° and 135° angles
is limited. Thus, the aim of this study to investigate between-days reliability of using 3D movement analysis system to measure
lower limb kinetic and kinematic variables during sidestep cutting manoaeuvre at 90° and 135°.
Methods:
10 healthy adult participants were recruited to take part in this study. All the participants were male; age range was
27.8±4.4 years, height-1.7±0.1 m and mass 66±7.2 kg. 3D motion lower limb biomechanics during cutting manoaeuvre at 90°
and 135° was assessed.
Results:
The test-retest reliability proved that all 3D variables in both tasks reported good to excellent between-day reliability,
ranging in ICC values between 0.85 and 0.98. The SEM value in both tasks ranged between 1.11 to 3.47 degree for angles and
0.07 and 0.25 Nm-Kg for moments.
Conclusions:
The result of this study has determined that all 3D kinematic and kinetic variables are reliable with low SEM
values during cutting tasks.
Biography
Ayman Alhammad is a PhD student at University of Salford.
dr_an1@hotmail.comAyman Alhammad
et.al., J Nov Physiother 2017, 7:6(Suppl)
DOI: 10.4172/2165-7025-C1-021