The Effect of Manual Therapy on Lower Extremity Joint Kinematics during Running: A single-subject case study

Drapeaux, Alisa; Carlson, Kevin

doi:10.1016/j.jbmt.2020.12.005

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…However, the popularisation of this sport has resulted in a high rate of musculoskeletal injuries to the lower extremities [2]. The top five pathologies with the highest incidence are: Achilles tendinopathy (9.1-10.9%), medial tibial stress syndrome (13.6-20.0%), patellofemoral pain syndrome (6.3%), plantar fasciitis (4.5-10.0%) and iliotibial band syndrome (7.9%) [1,[3][4][5][6]. Numerous studies have reported that the incidence of running-related musculoskeletal injuries (RRMIs) is between 20% and 79% of the running population [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries

Rodríguez,

Marín,

Royo

et al. 2023

Sensors

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The worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner’s anthropometric body characteristics, dexterity and skill. Therefore, this study aims to develop a motion capture-based running analysis test on a treadmill called KeepRunning to obtain running patterns rapidly, which will aid coaches and clinicians in assessing changes in running technique considering changes in the study variables. Therefore, a review and proposal of the most representative events and variables of analysis in running was conducted to develop the KeepRunning test. Likewise, the minimal detectable change (MDC) in these variables was obtained using test–retest reliability to demonstrate the reproducibility and viability of the test, as well as the use of MDC as a threshold for future assessments. The test–retest consisted of 32 healthy volunteer athletes with a running training routine of at least 15 km per week repeating the test twice. In each test, clusters of markers were placed on the runners’ body segments using elastic bands and the volunteers’ movements were captured while running on a treadmill. In this study, reproducibility was defined by the intraclass correlation coefficient (ICC) and MDC, obtaining a mean value of ICC = 0.94 ± 0.05 for all variables and MDC = 2.73 ± 1.16° for the angular kinematic variables. The results obtained in the test–retest reveal that the reproducibility of the test was similar or better than that found in the literature. KeepRunning is a running analysis test that provides data from the involved body segments rapidly and easily interpretable. This data allows clinicians and coaches to objectively provide indications for runners to improve their running technique and avoid possible injury. The proposed test can be used in the future with inertial motion capture and other wearable technologies.

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