Min-Hyeok Kang1, Gyoung-Mo Kim2, Oh-Yun Kwon3, Jong-Hyuk Weon4, Jae-Seop Oh5, Duk-Hyun An6. 1. Department of Physical Therapy, Graduate School, INJE University, Gimhae, South Korea. 2. Department of Physical Therapy, BAEKSEOK University, Cheonan, South Korea. 3. Laboratory of Kinetic Ergocise Based on Movement Analysis, Department of Physical Therapy, YONSEI University, Wonju, Gangwon-do, South Korea. 4. Department of Physical Therapy, JOONGBU University, Chubu-myeon, Geumsan-gun, Chungcheongnam-do, South Korea. 5. Department of Physical Therapy, College of Biomedical Science and Engineering, INJE University 607 Obang-dong, Gimhae-si, Gyeongsangnam-do, South Korea, 621-749. 6. Department of Physical Therapy, INJE University, Gimhae, South Korea.
Abstract
BACKGROUND: The lower quarter Y-balance test (YBT-LQ) has been recommended as a measure of dynamic postural control in the clinical setting; however, information about the relationship between performance on the YBT-LQ and joint kinematics is limited. Thus, the kinematic predictors responsible for performance on the YBT-LQ need to be identified for accurate evaluation of dynamic postural control. OBJECTIVES: To identify the kinematic predictors that best explain variance in performance on the YBT-LQ. DESIGN: Cross-sectional design. SETTING: University motion analysis laboratory. PARTICIPANTS: Thirty physically active participants. METHODS: All participants performed the YBT-LQ. The kinematics of the trunk and lower extremity at maximal reach in each direction of the YBT-LQ were monitored using a 3-dimensional motion analysis system. MAIN OUTCOME MEASUREMENTS: The correlations between reach distance and joint kinematics were assessed using Pearson's correlation coefficient, and the best predictors of performance on the YBT-LQ were determined using a stepwise multiple regression analysis. RESULTS: Ankle dorsiflexion was the best single predictor of normalized reach in the anterior direction of the YBT-LQ (r(2) = 0.50), and the combination of ankle dorsiflexion and trunk extension explained 65% of the variance in the anterior normalized reach. Hip flexion was the best single predictor of posteromedial (r(2) = 0.60) and posterolateral (r(2) = 0.71) normalized reaches of the YBT-LQ. The combination of hip flexion and ipsilateral trunk bending and the combination of hip flexion and contralateral trunk bending accounted for 69% and 80% of the variance in the posteromedial and posterolateral normalized reaches of the YBT-LQ, respectively. CONCLUSIONS: These findings provide useful information on the relative contribution of joint kinematics to performance on the YBT-LQ when evaluating dynamic postural control.
BACKGROUND: The lower quarter Y-balance test (YBT-LQ) has been recommended as a measure of dynamic postural control in the clinical setting; however, information about the relationship between performance on the YBT-LQ and joint kinematics is limited. Thus, the kinematic predictors responsible for performance on the YBT-LQ need to be identified for accurate evaluation of dynamic postural control. OBJECTIVES: To identify the kinematic predictors that best explain variance in performance on the YBT-LQ. DESIGN: Cross-sectional design. SETTING: University motion analysis laboratory. PARTICIPANTS: Thirty physically active participants. METHODS: All participants performed the YBT-LQ. The kinematics of the trunk and lower extremity at maximal reach in each direction of the YBT-LQ were monitored using a 3-dimensional motion analysis system. MAIN OUTCOME MEASUREMENTS: The correlations between reach distance and joint kinematics were assessed using Pearson's correlation coefficient, and the best predictors of performance on the YBT-LQ were determined using a stepwise multiple regression analysis. RESULTS: Ankle dorsiflexion was the best single predictor of normalized reach in the anterior direction of the YBT-LQ (r(2) = 0.50), and the combination of ankle dorsiflexion and trunk extension explained 65% of the variance in the anterior normalized reach. Hip flexion was the best single predictor of posteromedial (r(2) = 0.60) and posterolateral (r(2) = 0.71) normalized reaches of the YBT-LQ. The combination of hip flexion and ipsilateral trunk bending and the combination of hip flexion and contralateral trunk bending accounted for 69% and 80% of the variance in the posteromedial and posterolateral normalized reaches of the YBT-LQ, respectively. CONCLUSIONS: These findings provide useful information on the relative contribution of joint kinematics to performance on the YBT-LQ when evaluating dynamic postural control.
Authors: Patrick Chasse; Garrett S Bullock; Abigail C Schmitt; Barrett A Little; Lee H Diehl; Robert J Butler Journal: Int J Sports Phys Ther Date: 2018-08
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