- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07648537
The Effect of Muscular Fatigue on Lower Limb Kinematics During Single-Leg Drop Landing in Female Athletes (SLD)
June 10, 2026 updated by: Mawada Mohamed Meshref Ibrahim, Cairo University
this study will be conducted to investigate the effect of muscular fatigue on lower limb kinematics during single-leg drop landing in female professional volleyball players using a mobile-based motion analysis application.
Study Overview
Detailed Description
Muscular fatigue impairs neuromuscular control and alters lower limb kinematics during dynamic tasks such as landing, increasing the risk of injury.
For example, repetitive jump-landing tasks, as frequently performed in volleyball, have been shown to induce progressive changes in lower limb biomechanics, including reduced ankle plantarflexion and altered knee alignment, which may compromise energy absorption and joint stability.Female athletes face a higher incidence of knee and ligament injuries than males, including ACL tears and ankle sprains, due to sex-specific biomechanical and neuromuscular characteristics such as reduced hamstring activation, increased joint laxity, and altered landing mechanics .Markerless, smartphone-based systems such as OpenCap provide a validated, cost-effective, and field-based solution for 3D kinematic analysis.By applying OpenCap to evaluate the effects of muscular fatigue on single-leg drop landing in professional female volleyball players, this study aims to detect early deviations in movement patterns that may predispose athletes to injury.
These findings can inform preseason screening and guide the development of tailored neuromuscular training programs, contributing to context-specific, sex-informed injury prevention strategies in female sport
Study Type
Interventional
Enrollment (Estimated)
35
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: mawada mohamed, master
- Phone Number: +20 10 24330410
- Email: mawada.mooda96@gmail.com
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Female volleyball players aged 20-25 years
- Practice professional volleyball training or competition experience of at least 2 years
- typically engage in a high volume of training, with regular participation in at least five training sessions per week
- Willingness to adhere to fatigue protocol and provide informed consent
Exclusion Criteria:
- Current or recent (within the past 6 months) lower limb injury or medical condition
- History of lower limb surgeries
- Neurological disorders or balance impairments .
- Experiencing pain or discomfort during jumping or landing tasks
- Body mass index (BMI) greater than 30 kg/m²
- Inability to comply with the fatigue protocol or follow instructions for the landing tasks
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: fatigue protocol
Thirty five female professional volleyball players and aged between 18-25 years will be recruited from local Egyptian club.
all femalles applief fatigue protocol
|
Before formal testing, participants will perform a five-minute warm-up replicating their usual pre-volleyball training routine.
Following the warm-up, the single-leg drop landing (SLDL) task will be clearly explained and demonstrated to all participants.Stand barefoot on both legs on a 30 cm box, then extend the testing leg forward.
They will then step off the box using the testing leg, land on the same leg with a toe-heel landing pattern.
After familiarization, participants will perform three trials of the SLDL task under non-fatigued conditions.Following the completion of the non-fatigue single-leg drop landing (SLDL) trials, each participant will perform three maximal vertical jumps to assess their maximum touch height.
The highest value obtained from these attempts will be recorded as the participant's baseline for subsequent comparisons.Following the completion of the baseline maximal vertical jump assessment, participants will undergo a systematic fatigue induction protocol
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
hip range of motion
Time Frame: up to one day
|
OpenCap will be used to assess hip range of motion.
the Video recordings will be analyzed using OpenCap, a validated markerless motion capture system that estimates 3D joint kinematics from synchronized smartphone cameras through an automated pipeline that applies advanced computer vision and machine learning algorithms to extract joint angles efficiently and with high validity
|
up to one day
|
|
knee flexion range of motion
Time Frame: up to one day
|
OpenCap will be used to assess knee flexion range of motion.
the Video recordings will be analyzed using OpenCap, a validated markerless motion capture system that estimates 3D joint kinematics from synchronized smartphone cameras through an automated pipeline that applies advanced computer vision and machine learning algorithms to extract joint angles efficiently and with high validity
|
up to one day
|
|
ankle dorsiflexion range of motion
Time Frame: up to one day
|
OpenCap will be used to assess ankle dorsiflexion range of motion.
the Video recordings will be analyzed using OpenCap, a validated markerless motion capture system that estimates 3D joint kinematics from synchronized smartphone cameras through an automated pipeline that applies advanced computer vision and machine learning algorithms to extract joint angles efficiently and with high validity
|
up to one day
|
|
knee valgus angle
Time Frame: up to one day
|
OpenCap will be used to assess knee valgus angle.
the Video recordings will be analyzed using OpenCap, a validated markerless motion capture system that estimates 3D joint kinematics from synchronized smartphone cameras through an automated pipeline that applies advanced computer vision and machine learning algorithms to extract joint angles efficiently and with high validity
|
up to one day
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
June 30, 2026
Primary Completion (Estimated)
December 20, 2026
Study Completion (Estimated)
December 20, 2026
Study Registration Dates
First Submitted
June 10, 2026
First Submitted That Met QC Criteria
June 10, 2026
First Posted (Actual)
June 15, 2026
Study Record Updates
Last Update Posted (Actual)
June 15, 2026
Last Update Submitted That Met QC Criteria
June 10, 2026
Last Verified
June 1, 2026
More Information
Terms related to this study
Other Study ID Numbers
- P.T.REC/012/0067282
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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