Literature DB >> 28642097

Are two-dimensional measured frontal plane angles related to three-dimensional measured kinematic profiles during running?

Bart Dingenen1, Filip F Staes2, Lieselot Santermans3, Lien Steurs4, Maarten Eerdekens5, Jurre Geentjens6, Koen H E Peers7, Maarten Thysen8, Kevin Deschamps9.   

Abstract

OBJECTIVES: To investigate the temporal relationship between two-dimensional measured frontal plane joint angles and three-dimensional measured kinematic profiles during the stance phase of running, and to assess the intra- and intertester reliability of the two-dimensional angles.
DESIGN: Observational study.
SETTING: Research laboratory. PARTICIPANTS: Fifteen injury-free elite athletes. MAIN OUTCOME MEASURES: Contralateral pelvic drop (CPD), femoral adduction (FA), hip adduction (HA) and knee valgus (KV) were measured at the deepest landing position during midstance with two-dimensional video analysis during running. CPD, HA and knee abduction were measured continuously during the entire stance phase through three-dimensional motion analysis. One-dimensional statistical parametric mapping was used to examine the temporal relationships between the two-dimensional angles and three-dimensional kinematic profiles. In addition, intra-class correlation coefficients (ICC) were calculated to assess the intra- and intertester reliability of the two-dimensional angles.
RESULTS: Two-dimensional CPD, FA and HA were significantly related to the three-dimensional HA kinematic profile. Two-dimensional CPD was significantly related to the three-dimensional CPD kinematic profile. No significant relationship was found between two-dimensional KV and three-dimensional knee abduction. Excellent intra- and intertester reliability was found for the two-dimensional angles (ICC 0.90-0.99).
CONCLUSIONS: These findings support implementing two-dimensional video analysis to evaluate CPD and HA during running.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Injury prevention; Running; Screening; Two-dimensional video analysis

Mesh:

Year:  2017        PMID: 28642097     DOI: 10.1016/j.ptsp.2017.02.001

Source DB:  PubMed          Journal:  Phys Ther Sport        ISSN: 1466-853X            Impact factor:   2.365


  11 in total

1.  Biomechanical Risk Factors Associated with Running-Related Injuries: A Systematic Review.

Authors:  Linde Ceyssens; Romy Vanelderen; Christian Barton; Peter Malliaras; Bart Dingenen
Journal:  Sports Med       Date:  2019-07       Impact factor: 11.136

2.  Validity and Reliability of 2-Dimensional Video-Based Assessment to Analyze Foot Strike Pattern and Step Rate During Running: A Systematic Review.

Authors:  Fábio Carlos Lucas de Oliveira; Anny Fredette; Sherezada Ochoa Echeverría; Charles Sebiyo Batcho; Jean-Sébastien Roy
Journal:  Sports Health       Date:  2019-05-30       Impact factor: 3.843

3.  Running Biomechanics in Individuals with Anterior Cruciate Ligament Reconstruction: A Systematic Review.

Authors:  Benoit Pairot-de-Fontenay; Richard W Willy; Audrey R C Elias; Ryan L Mizner; Marc-Olivier Dubé; Jean-Sébastien Roy
Journal:  Sports Med       Date:  2019-09       Impact factor: 11.136

4.  VALIDITY AND RELIABILITY OF VIDEO-BASED ANALYSIS OF UPPER TRUNK ROTATION DURING RUNNING.

Authors:  Carolyn F Weber; Shane McClinton
Journal:  Int J Sports Phys Ther       Date:  2020-12

5.  INTER AND INTRA-RATER RELIABILITY OF THE DROP VERTICAL JUMP (DVJ) ASSESSMENT.

Authors:  Emily B Beyer; Rena F Hale; Aaron R Hellem; Allison M Mumbleau; Nathan D Schilaty; Timothy E Hewett
Journal:  Int J Sports Phys Ther       Date:  2020-10

6.  Effects of gait retraining with focus on impact versus gait retraining with focus on cadence on pain, function and lower limb kinematics in runners with patellofemoral pain: Protocol of a randomized, blinded, parallel group trial with 6-month follow-up.

Authors:  José Roberto de Souza Júnior; Pedro Henrique Reis Rabelo; Thiago Vilela Lemos; Jean-Francois Esculier; João Pedro da Silva Carto; João Paulo Chieregato Matheus
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

7.  Applying TS-DBN model into sports behavior recognition with deep learning approach.

Authors:  Yingqing Guo; Xin Wang
Journal:  J Supercomput       Date:  2021-04-06       Impact factor: 2.474

8.  Utility of 2D Video Analysis for Assessing Frontal Plane Trunk and Pelvis Motion during Stepping, Landing, and Change in Direction Tasks: A Validity Study.

Authors:  Rachel K Straub; Christopher M Powers
Journal:  Int J Sports Phys Ther       Date:  2022-02-01

Review 9.  Do alterations in muscle strength, flexibility, range of motion, and alignment predict lower extremity injury in runners: a systematic review.

Authors:  Shefali M Christopher; Jeremy McCullough; Suzanne J Snodgrass; Chad Cook
Journal:  Arch Physiother       Date:  2019-02-12

10.  A 10% Increase in Step Rate Improves Running Kinematics and Clinical Outcomes in Runners With Patellofemoral Pain at 4 Weeks and 3 Months.

Authors:  Christopher Bramah; Stephen J Preece; Niamh Gill; Lee Herrington
Journal:  Am J Sports Med       Date:  2019-10-28       Impact factor: 6.202

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