The DCU Running Injury Surveillance Centre Study: A Prospective Investigation of Factors Relating to Running Injuries
NCT ID: NCT03671395
Last Updated: 2020-07-22
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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UNKNOWN
315 participants
OBSERVATIONAL
2018-02-01
2021-05-31
Brief Summary
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Healthy participants will perform a battery of clinical tests at baseline, as well as completing a survey that details their injury history and training habits. Kinematic and kinetic motion analysis will be used as participants perform a series of functional movements and a treadmill run. Enrolled participants will be monitored for the occurrence of running-related injuries via email for the duration of the study.
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Detailed Description
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Novice and recreational runners will be recruited via emails, posters and social media. A novice runner is defined as a person who has not been running on a regular basis during the last year and completed ≤10km total training volume per week during the preceding year. A recreational runner will be defined as a person who runs a minimum of 10km per week, for at least six months prior to inclusion in the study.
Study Protocol:
Upon screening for inclusion and exclusion, participants will complete a baseline evaluation. This will consist of 1.) A survey, 2.) A battery of clinical tests and 3.) Motion analysis testing. A description of each component is detailed below.
1. Survey:
This survey will be self-reported by each participant. The aim of this survey is to detail each participants history of injuries and training habits. Questions are deigned based on previous survey designs relating to running injuries.
2. Battery of clinical tests:
The battery of physical performance tests will include: The foot posture index, the navicular drop, goniometry of the hip and ankle, dynamometry of the hip abductors, hip extensors, knee extensors, knee flexors and plantar flexors.
3. Motion analysis testing:
This will be broken into two components; a functional movement protocol and a treadmill run. During these components, motion will be tracked using wearable inertial sensors (Shimmer, Dublin, Ireland) and two forceplates (AMTI, Watertown, MA, USA). A 17-camera 3D motion analysis system (Vicon, Oxford, United Kingdom) will capture data at a sampling rate of 200 Hz. Reflective markers will be applied to the skin using specific anatomical landmarks to map their location. The functional movement protocol will consist of a series of jumping and landing movements, including double leg and single leg counter movement jumps, unilateral hopping, single leg drop landings and single leg drop jumps. Following this, participants will complete a run to fatigue. Motion analysis data will be captured at the end and start of this run. Fatigue will be determined by a reported rate of perceived exertion score of 17 (very hard) on the BORG Scale and a heart rate of 85% of the heart rate max, as determined by the Karvonen Formula (220-age).
Participants will then resume their normal training regime. Participants will be tracked for injuries via email over the course of the study.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Run minimum once per week
Exclusion Criteria
An injury will be defined as:
* Any muscle, bone, tendon or ligament pain in the lower back, hip, groin, thigh, leg, knee, foot, ankle and toe that caused the participant to stop or restrict their running.
* The pain must last for at least 7 days or 3 consecutive scheduled training sessions, or require the participant to consult a physician or other health care professional.
18 Years
65 Years
ALL
No
Sponsors
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Insight Centre for Data Analytics
OTHER
Dublin City University
OTHER
Responsible Party
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Principal Investigators
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Aoife Burke
Role: PRINCIPAL_INVESTIGATOR
Dublin City University, Insight Centre for Data Analytics
Sarah Dillon
Role: PRINCIPAL_INVESTIGATOR
Dublin City University, Insight Centre for Data Analytics
Dr Kieran Moran
Role: PRINCIPAL_INVESTIGATOR
Dublin City University, Insight Centre for Data Analytics
Locations
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Dublin City University
Dublin, Leinster, Ireland
Countries
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References
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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.
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.
Ghani Zadeh Hesar N, Van Ginckel A, Cools A, Peersman W, Roosen P, De Clercq D, Witvrouw E. A prospective study on gait-related intrinsic risk factors for lower leg overuse injuries. Br J Sports Med. 2009 Dec;43(13):1057-61. doi: 10.1136/bjsm.2008.055723. Epub 2009 Feb 18.
Hespanhol Junior LC, Pena Costa LO, Lopes AD. Previous injuries and some training characteristics predict running-related injuries in recreational runners: a prospective cohort study. J Physiother. 2013 Dec;59(4):263-9. doi: 10.1016/S1836-9553(13)70203-0.
Lun V, Meeuwisse WH, Stergiou P, Stefanyshyn D. Relation between running injury and static lower limb alignment in recreational runners. Br J Sports Med. 2004 Oct;38(5):576-80. doi: 10.1136/bjsm.2003.005488.
Malisoux L, Nielsen RO, Urhausen A, Theisen D. A step towards understanding the mechanisms of running-related injuries. J Sci Med Sport. 2015 Sep;18(5):523-8. doi: 10.1016/j.jsams.2014.07.014. Epub 2014 Aug 12.
Nielsen RO, Buist I, Parner ET, Nohr EA, Sorensen H, Lind M, Rasmussen S. Predictors of Running-Related Injuries Among 930 Novice Runners: A 1-Year Prospective Follow-up Study. Orthop J Sports Med. 2013 May 2;1(1):2325967113487316. doi: 10.1177/2325967113487316. eCollection 2013 Jan-Jun.
Other Identifiers
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SFI12/RC/2289
Identifier Type: -
Identifier Source: org_study_id
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