Evaluation of Harmonicity in Running Gait by the Use of Innovative Techniques of Video Analysis
NCT ID: NCT04103437
Last Updated: 2021-02-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
112 participants
OBSERVATIONAL
2018-11-03
2019-12-03
Brief Summary
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Furthermore, it explores the association of running gait harmonicity with running velocity and level of training and with running injuries risk .
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Detailed Description
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A more holistic approach to analysis of movement could permit a more in depth comprehension of the injured state, trough a changing of point of view. This holistic approach is based on the harmonic nature of running gait.
Despite the everyday use of the term "harmonicity" within sporting domains, methods to measure running gait harmonicity is a theme still vaguely explored.
Traditional methods evaluate the movement quality of the whole body based on the motion analysis of specific segments, that are supposed to sufficiently represent the entire body. The search for a method to analyse harmonicity of cyclic movements with a real holistic approach, is therefore still open.
With these aims, an innovative video analysis method has been proposed, based on the measure of the frequency variation of the pixel brightness in the digital video of a cyclic movement.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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recreational runners
Recreational runners (minimum of 2 running session and 20km of total mileage per week), with seasonal best on half-marathon comprised between 1h20' and 2h00'. Age \> 18 and \< 60 years. Free from musculoskeletal injuries from at least three months.
Maximal incremental running test
Maximal incremental running test with measures of metabolic, spatio-temporal parameters and video recording with camera in the frontal plane.
video recording of frontal view, metabolic and spatio-temporal measures of three (self-selected speed, + and - 20 percentage of self-selected speed) 6 minutes running test monthly (12 months) follow-up questionnaire
Metabolic and movement analysis of running
Running analysis of three six minutes running test (self-selected speed, + and - 20% of the self-selected speed) by video recording with camera in the frontal plane, and acquisition of the metabolic and spatio-temporal parameters
Questionnaires
Monthly follow-up questionnaire (12 months) about training habits and injuries
Interventions
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Maximal incremental running test
Maximal incremental running test with measures of metabolic, spatio-temporal parameters and video recording with camera in the frontal plane.
video recording of frontal view, metabolic and spatio-temporal measures of three (self-selected speed, + and - 20 percentage of self-selected speed) 6 minutes running test monthly (12 months) follow-up questionnaire
Metabolic and movement analysis of running
Running analysis of three six minutes running test (self-selected speed, + and - 20% of the self-selected speed) by video recording with camera in the frontal plane, and acquisition of the metabolic and spatio-temporal parameters
Questionnaires
Monthly follow-up questionnaire (12 months) about training habits and injuries
Eligibility Criteria
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Inclusion Criteria
* minimum two day of running/week
* minimum 20 km running/week
* seasonal best on half marathon comprised between 1h20' and 2h00'
* experienced in treadmill running practice
* sport medical certificate
Exclusion Criteria
* regular practice of sport activities different from running
* acute or chronic osteoarticular diseases or, in general, other pathology limiting physical activities
* use of drugs altering physical activity performance (hypnotic, psychoactive, non-steroidal anti-inflammatory drugs e.g.).
18 Years
60 Years
ALL
Yes
Sponsors
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Microgate Srl
UNKNOWN
Universita di Verona
OTHER
Fondazione Don Carlo Gnocchi Onlus
OTHER
Responsible Party
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Principal Investigators
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Guido Pasquini, Bs
Role: PRINCIPAL_INVESTIGATOR
IRCCS Fondazione Don Carlo Gnocchi
Locations
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IRCCS Don Carlo Gnocchi
Florence, Tuscany, Italy
Countries
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References
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Huijben B, van Schooten KS, van Dieen JH, Pijnappels M. The effect of walking speed on quality of gait in older adults. Gait Posture. 2018 Sep;65:112-116. doi: 10.1016/j.gaitpost.2018.07.004. Epub 2018 Jul 10.
Lindsay TR, Yaggie JA, McGregor SJ. Contributions of lower extremity kinematics to trunk accelerations during moderate treadmill running. J Neuroeng Rehabil. 2014 Dec 12;11:162. doi: 10.1186/1743-0003-11-162.
Buist I, Bredeweg SW, Lemmink KA, van Mechelen W, Diercks RL. Predictors of running-related injuries in novice runners enrolled in a systematic training program: a prospective cohort study. Am J Sports Med. 2010 Feb;38(2):273-80. doi: 10.1177/0363546509347985. Epub 2009 Dec 4.
Videbaek S, Bueno AM, Nielsen RO, Rasmussen S. Incidence of Running-Related Injuries Per 1000 h of running in Different Types of Runners: A Systematic Review and Meta-Analysis. Sports Med. 2015 Jul;45(7):1017-26. doi: 10.1007/s40279-015-0333-8.
van Gent RN, Siem D, van Middelkoop M, van Os AG, Bierma-Zeinstra SM, Koes BW. Incidence and determinants of lower extremity running injuries in long distance runners: a systematic review. Br J Sports Med. 2007 Aug;41(8):469-80; discussion 480. doi: 10.1136/bjsm.2006.033548. Epub 2007 May 1.
Hreljac A. Etiology, prevention, and early intervention of overuse injuries in runners: a biomechanical perspective. Phys Med Rehabil Clin N Am. 2005 Aug;16(3):651-67, vi. doi: 10.1016/j.pmr.2005.02.002.
Vannatta CN, Kernozek TW. Patellofemoral joint stress during running with alterations in foot strike pattern. Med Sci Sports Exerc. 2015 May;47(5):1001-8. doi: 10.1249/MSS.0000000000000503.
Teng HL, Powers CM. Sagittal plane trunk posture influences patellofemoral joint stress during running. J Orthop Sports Phys Ther. 2014 Oct;44(10):785-92. doi: 10.2519/jospt.2014.5249. Epub 2014 Aug 25.
Valenzuela KA, Lynn SK, Mikelson LR, Noffal GJ, Judelson DA. Effect of Acute Alterations in Foot Strike Patterns during Running on Sagittal Plane Lower Limb Kinematics and Kinetics. J Sports Sci Med. 2015 Mar 1;14(1):225-32. eCollection 2015 Mar.
Hamill J, Palmer C, Van Emmerik RE. Coordinative variability and overuse injury. Sports Med Arthrosc Rehabil Ther Technol. 2012 Nov 27;4(1):45. doi: 10.1186/1758-2555-4-45.
Kiely J, Collins DJ. Uniqueness of Human Running Coordination: The Integration of Modern and Ancient Evolutionary Innovations. Front Psychol. 2016 Apr 11;7:262. doi: 10.3389/fpsyg.2016.00262. eCollection 2016.
Bredeweg SW, Kluitenberg B, Bessem B, Buist I. Differences in kinetic variables between injured and noninjured novice runners: a prospective cohort study. J Sci Med Sport. 2013 May;16(3):205-10. doi: 10.1016/j.jsams.2012.08.002. Epub 2012 Aug 24.
Iosa M, Bini F, Marinozzi F, Fusco A, Morone G, Koch G, Martino Cinnera A, Bonni S, Paolucci S. Stability and Harmony of Gait in Patients with Subacute Stroke. J Med Biol Eng. 2016;36(5):635-643. doi: 10.1007/s40846-016-0178-0. Epub 2016 Oct 7.
Bellanca JL, Lowry KA, Vanswearingen JM, Brach JS, Redfern MS. Harmonic ratios: a quantification of step to step symmetry. J Biomech. 2013 Feb 22;46(4):828-31. doi: 10.1016/j.jbiomech.2012.12.008. Epub 2013 Jan 12.
Stefanyshyn DJ, Stergiou P, Lun VM, Meeuwisse WH, Worobets JT. Knee angular impulse as a predictor of patellofemoral pain in runners. Am J Sports Med. 2006 Nov;34(11):1844-51. doi: 10.1177/0363546506288753. Epub 2006 May 30.
Other Identifiers
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harmrun fdg
Identifier Type: -
Identifier Source: org_study_id
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