Literature DB >> 30193080

Is There a Pathological Gait Associated With Common Soft Tissue Running Injuries?

Christopher Bramah1, Stephen J Preece1, Niamh Gill1, Lee Herrington1.   

Abstract

BACKGROUND: Previous research has demonstrated clear associations between specific running injuries and patterns of lower limb kinematics. However, there has been minimal research investigating whether the same kinematic patterns could underlie multiple different soft tissue running injuries. If they do, such kinematic patterns could be considered global contributors to running injuries. HYPOTHESIS: Injured runners will demonstrate differences in running kinematics when compared with injury-free controls. These kinematic patterns will be consistent among injured subgroups. STUDY
DESIGN: Controlled laboratory study.
METHODS: The authors studied 72 injured runners and 36 healthy controls. The injured group contained 4 subgroups of runners with either patellofemoral pain, iliotibial band syndrome, medial tibial stress syndrome, or Achilles tendinopathy (n = 18 each). Three-dimensional running kinematics were compared between injured and healthy runners and then between the 4 injured subgroups. A logistic regression model was used to determine which parameters could be used to identify injured runners.
RESULTS: The injured runners demonstrated greater contralateral pelvic drop (CPD) and forward trunk lean at midstance and a more extended knee and dorsiflexed ankle at initial contact. The subgroup analysis of variance found that these kinematic patterns were consistent across each of the 4 injured subgroups. CPD was found to be the most important variable predicting the classification of participants as healthy or injured. Importantly, for every 1° increase in pelvic drop, there was an 80% increase in the odds of being classified as injured.
CONCLUSION: This study identified a number of global kinematic contributors to common running injuries. In particular, we found injured runners to run with greater peak CPD and trunk forward lean as well as an extended knee and dorsiflexed ankle at initial contact. CPD appears to be the variable most strongly associated with common running-related injuries. CLINICAL RELEVANCE: The identified kinematic patterns may prove beneficial for clinicians when assessing for biomechanical contributors to running injuries.

Entities:  

Keywords:  gait; injury; kinematics; running

Mesh:

Year:  2018        PMID: 30193080     DOI: 10.1177/0363546518793657

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


  15 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.  Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach.

Authors:  Mohsen Gholami; Christopher Napier; Carlo Menon
Journal:  Sensors (Basel)       Date:  2020-05-22       Impact factor: 3.576

3.  Influence of the ACTN3 R577X genotype on the injury epidemiology of marathon runners.

Authors:  Victor Moreno; Francisco Areces; Diana Ruiz-Vicente; José M Ordovás; Juan Del Coso
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

4.  Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Authors:  Mohsen Gholami; Ahmad Rezaei; Tyler J Cuthbert; Christopher Napier; Carlo Menon
Journal:  Sensors (Basel)       Date:  2019-12-03       Impact factor: 3.576

5.  A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes.

Authors:  Javier Martínez-Gramage; Juan Pardo Albiach; Iván Nacher Moltó; Juan José Amer-Cuenca; Vanessa Huesa Moreno; Eva Segura-Ortí
Journal:  Sensors (Basel)       Date:  2020-11-09       Impact factor: 3.576

6.  Effect of ACTN3 R577X Genotype on Injury Epidemiology in Elite Endurance Runners.

Authors:  Jorge Gutiérrez-Hellín; Gabriel Baltazar-Martins; Millán Aguilar-Navarro; Carlos Ruiz-Moreno; Jesús Oliván; Juan Del Coso
Journal:  Genes (Basel)       Date:  2021-01-08       Impact factor: 4.096

7.  Novel biomechanical injury risk score demonstrates correlation with lower limb posterior chain injury in 50 elite-level rugby union athletes.

Authors:  Rhys Hughes; Matt Cross; Keith Stokes; Daniel Tobin; Eoin Power; Steph McNally; Jonathan Pamment
Journal:  BMJ Open Sport Exerc Med       Date:  2021-10-19

8.  Kinematic Characteristics of Male Runners With a History of Recurrent Calf Muscle Strain Injury.

Authors:  Christopher Bramah; Stephen J Preece; Niamh Gill; Lee Herrington
Journal:  Int J Sports Phys Ther       Date:  2021-06-01

9.  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

10.  Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running.

Authors:  Iván Nacher Moltó; Juan Pardo Albiach; Juan José Amer-Cuenca; Eva Segura-Ortí; Willig Gabriel; Javier Martínez-Gramage
Journal:  Sensors (Basel)       Date:  2020-11-12       Impact factor: 3.576

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