Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27609
Title: Test-retest reliability of two-dimensional video analysis during running
Authors: DINGENEN, Bart 
Barton, Christian
Janssen, Tessa
Benoit, Anke
Malliaras, Peter
Issue Date: 2018
Source: PHYSICAL THERAPY IN SPORT, 33, p. 40-47
Abstract: Objectives: To examine test-retest reliability of two-dimensional measured frontal and sagittal plane kinematics during running, and to determine how many steps to include to reach and maintain a stable mean. Design: Reliability study. Setting: Research laboratory. Participants: Twenty-one recreational runners. Main outcome measures: Lateral trunk position, contralateral pelvic drop, femoral adduction, hip adduction, knee flexion and ankle dorsiflexion during midstance, and foot and tibia inclination at initial contact were measured with two-dimensional video analysis during running for 10 consecutive steps for both legs. All participants were tested twice one week apart. A sequential estimation method was used to determine the number of steps needed to reach a stable mean. Intraclass correlation coefficients (ICC) and smallest detectable differences (SDD) were calculated. Results: The minimal number of steps was 6.3 ± 0.3. Lateral trunk position, femoral adduction and foot inclination showed excellent reliability (ICC 0.90e0.99; SDD 1.3 e2.3 ). Tibia inclination and ankle dorsiflexion showed good to excellent reliability (ICC 0.73e0.92; SDD 2.2 e4.8 ). Hip adduction and knee flexion showed good reliability (ICC 0.82e0.89; SDD 2.3 e3.8 ). Contralateral pelvic drop showed moderate to good reliability (ICC 0.59e0.77; SDD 2.7 e2.8 ). Conclusion: Two-dimensional video analysis is reliable to assess running kinematics on different days. The mean of at least 7 steps should be included.
Keywords: Running; Kinematics; Two-dimensional video analysis; Reliability
Document URI: http://hdl.handle.net/1942/27609
ISSN: 1466-853X
DOI: 10.1016/j.ptsp.2018.06.009
ISI #: 000445981100008
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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