The Effect of Muscular Fatigue on Lower… | Clinical Trial

Key information

Conditions

Athletes

Age range

20 year–25 year

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

About this study

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

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Fatigue protocol

Other

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

Primary outcomes

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
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
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
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

Study contacts

Contact information is provided by the study sponsor or research team.

mawada mohamed, master

CONTACT

[email protected]

+20 10 24330410

Sponsors and collaborators

Lead sponsor

Cairo University

Other

Registry information

Acronym: SLD

Important dates

Study start: 2026
Primary completion: 2026
Study completion: 2026
First posted: Jun 15, 2026
Registry last updated: Jun 15, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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