Training Load Adapted to Muscle Properties to Reduce Injury Occurrence in Sprint

NCT ID: NCT06619132

Last Updated: 2025-09-30

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

160 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-06

Study Completion Date

2024-08-11

Brief Summary

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During the Olympics, running fast is the most prevalent motor task, 100-m dash being the one of the most-expected event. Yet, the achievement of such running sprints requires both extreme athletic capabilities together with robust musculoskeletal system in order to limit the risk of injury. Lower limb muscle injury is indeed the main cause of training or competition interruption on the international stage. In this context, France presents the unique feature of being historically strong in velocity-oriented sports and recognized for the quality of research work done for the understanding of sprint running performance. This research program will be conducted in strong collaboration with French Federations of Athletics, Rugby and Ice Sports (bobsleigh). FULGUR gathers world's leading experts in muscle biomechanics, strength and conditioning research, clinical imaging, health behaviors, and machine learning applied to very high sport performance in order to pursue a threefold objective:

* To appraise sprint mechanics at center of mass and joint segments level in a view to quantify specific-structure workload at these scales in ecological conditions (Workpackage 1);
* To determine individual musculoskeletal profile of elite athlete to propose tailored strengthening programs in order to optimize running propulsion efficiency (Workpackage 2);
* To estimate the level of injury risk and suggest individualized prevention contents based on a multi-factorial approach (Workpackage 3).

These goals will be supported by transverse tasks aiming at refining muscle mechanics and motion capture analysis based on ultrasound imaging and machine learning. These tasks will aim to advance the analysis of skeletal muscle dynamics 2D ultrasound analyses and to implement markerless motion capture methods in the field. Led by the flagship French laboratory focused on very high sport performance, these work originate from long-term collaborations between high-end athletic and multi-disciplinary scientific staffs. Thanks to a strong evidence-based methodological approach and minimal time-cost for top-level athletes, all the efforts put in FULGUR will convert to the ultimate goal of fast-track knowledge and tech transfer towards sport performance stakeholders. Tailored-made sprint, strength and prevention training will be co-built with coaches and staffs during panel meetings in a view to optimize sprint performance and reduce the exposure of top-level French sprinters, rugby 7 players and bobbers to muscle injury. The knowledge inferred from this project will have direct implications in every discipline that elicits all-out sprints and accelerations (e.g. team sports, racket sports). Regular meetings with coaches and heads of federal R\&D departments will result in a strongly anticipated strategy to enhance the potential of knowledge transfer and performance optimization (annual expertise meetings, innovative videos including dynamic infographics, short technical sheets, expert education programs for coaches). This approach is expected to strongly contribute to upgrade scientific skills of French performance stakeholders from Tokyo 2020 to Paris 2024 and beyond.

Detailed Description

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During the Olympics, running fast is the most prevalent motor task, 100-m dash being the one of the most-expected event. Yet, the achievement of such running sprints requires both extreme athletic capabilities together with robust musculoskeletal system in order to limit the risk of injury. Lower limb muscle injury is indeed the main cause of training or competition interruption on the international stage. In this context, France presents the unique feature of being historically strong in velocity-oriented sports and recognized for the quality of research work done for the understanding of sprint running performance. This research program will be conducted in strong collaboration with French Federations of Athletics, Rugby and Ice Sports (bobsleigh). FULGUR gathers world's leading experts in muscle biomechanics, strength and conditioning research, clinical imaging, health behaviors, and machine learning applied to very high sport performance in order to pursue a threefold objective:

* To appraise sprint mechanics at center of mass and joint segments level in a view to quantify specific-structure workload at these scales in ecological conditions (Workpackage 1);
* To determine individual musculoskeletal profile of elite athlete to propose tailored strengthening programs in order to optimize running propulsion efficiency (Workpackage 2);
* To estimate the level of injury risk and suggest individualized prevention contents based on a multi-factorial approach (Workpackage 3).

These goals will be supported by transverse tasks aiming at refining muscle mechanics and motion capture analysis based on ultrasound imaging and machine learning. These tasks will aim to advance the analysis of skeletal muscle dynamics 2D ultrasound analyses and to implement markerless motion capture methods in the field. Led by the flagship French laboratory focused on very high sport performance, these work originate from long-term collaborations between high-end athletic and multi-disciplinary scientific staffs. Thanks to a strong evidence-based methodological approach and minimal time-cost for top-level athletes, all the efforts put in FULGUR will convert to the ultimate goal of fast-track knowledge and tech transfer towards sport performance stakeholders. Tailored-made sprint, strength and prevention training will be co-built with coaches and staffs during panel meetings in a view to optimize sprint performance and reduce the exposure of top-level French sprinters, rugby 7 players and bobbers to muscle injury. The knowledge inferred from this project will have direct implications in every discipline that elicits all-out sprints and accelerations (e.g. team sports, racket sports). Regular meetings with coaches and heads of federal R\&D departments will result in a strongly anticipated strategy to enhance the potential of knowledge transfer and performance optimization (annual expertise meetings, innovative videos including dynamic infographics, short technical sheets, expert education programs for coaches). This approach is expected to strongly contribute to upgrade scientific skills of French performance stakeholders from Tokyo 2020 to Paris 2024 and beyond.

Conditions

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NON APPLICABLE

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* French high elite athlete form athletics, rugby 7 and bobsleigh

Exclusion Criteria

\-
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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French National Insitute of Sport

UNKNOWN

Sponsor Role collaborator

FULGUR consortium

UNKNOWN

Sponsor Role collaborator

Assistance Publique - Hôpitaux de Paris

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Gaël GUILHEM, PhD

Role: PRINCIPAL_INVESTIGATOR

Laboratory of sport, expertise and performance - National Institut of Sport of Expertise and Performance

Locations

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French National Insitute of Sport

Paris, , France

Site Status

Countries

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France

References

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Edouard P, Caumeil B, Verhagen E, Guilhem G, Ruffault A. Maximising individualisation of sports injury risk reduction approach to reach success. Braz J Phys Ther. 2022 May-Jun;26(3):100394. doi: 10.1016/j.bjpt.2022.100394. Epub 2022 Feb 12.

Reference Type BACKGROUND
PMID: 35526371 (View on PubMed)

Fornasier-Santos C, Arnould A, Jusseaume J, Millot B, Guilhem G, Couturier A, Samozino P, Slawinski J, Morin JB. Sprint Acceleration Mechanical Outputs Derived from Position- or Velocity-Time Data: A Multi-System Comparison Study. Sensors (Basel). 2022 Nov 8;22(22):8610. doi: 10.3390/s22228610.

Reference Type BACKGROUND
PMID: 36433206 (View on PubMed)

Related Links

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https://labos-recherche.insep.fr/fr/laboratoire-sep/fulgur

https://www.enseignementsup-recherche.gouv.fr/fr/le-sprint-vaste-programme-de-recherche-avec-fulgur-96045

Other Identifiers

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ANR-19-STHP-0003

Identifier Type: OTHER

Identifier Source: secondary_id

2021-A02523-38

Identifier Type: -

Identifier Source: org_study_id

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