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. 2019 Jul:38:184-191.
doi: 10.1016/j.ptsp.2019.05.008. Epub 2019 May 28.

Two-dimensional video analysis can discriminate differences in running kinematics between recreational runners with and without running-related knee injury

Affiliations

Two-dimensional video analysis can discriminate differences in running kinematics between recreational runners with and without running-related knee injury

Bart Dingenen et al. Phys Ther Sport. 2019 Jul.

Abstract

Objectives: To determine whether two-dimensional video analysis could discriminate running kinematics between recreational runners with and without a running-related knee injury.

Design: Case-control.

Setting: Research laboratory.

Participants: Forty-two recreational runners (5 male-13 female injured; 7 male-17 female non-injured). Running-related knee injury was defined as the presence of anterior or lateral knee pain, resulting in altered running activity for at least one week.

Main outcome measures: Foot and tibia inclination at initial contact, and lateral trunk position, contralateral pelvic drop, femoral adduction, hip adduction, knee flexion and ankle dorsiflexion at midstance were measured with two-dimensional video analysis during running. Participant characteristics (sex, age, body weight, body length, body mass index, running volume before injury, running speed) and two-dimensional measured angles were compared between groups.

Results: No significant differences in participant characteristics between groups were identified (P > .05). The injured group ran with greater contralateral pelvic drop (P = .035), femoral adduction (P = .021) and hip adduction (P = .001) at midstance, and significantly smaller foot inclination at initial contact (P = .031).

Conclusion: Two-dimensional video analysis can discriminate kinematics between runners with and without running-related knee injury. Greater contralateral pelvic drop, femoral adduction and hip adduction at midstance may provide running retraining targets for runners with running-related knee injury.

Keywords: Kinematics; Knee injury; Running; Two-dimensional video analysis.

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