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The Effect of Muscular Fatigue on Lower Limb Kinematics During Single-Leg Drop Landing in Female Athletes (SLD)

10. juni 2026 oppdatert av: 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.

Studieoversikt

Status

Har ikke rekruttert ennå

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

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

Studietype

Intervensjonell

Registrering (Antatt)

35

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen

Tar imot friske frivillige

Ja

Beskrivelse

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

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Diagnostisk
  • Tildeling: N/A
  • Intervensjonsmodell: Enkeltgruppeoppdrag
  • Masking: Ingen (Open Label)

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: 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
Annen: 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

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
hip range of motion
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Cairo University

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Antatt)

30. juni 2026

Primær fullføring (Antatt)

20. desember 2026

Studiet fullført (Antatt)

20. desember 2026

Datoer for studieregistrering

Først innsendt

10. juni 2026

Først innsendt som oppfylte QC-kriteriene

10. juni 2026

Først lagt ut (Faktiske)

15. juni 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

15. juni 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

10. juni 2026

Sist bekreftet

1. juni 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Andre studie-ID-numre

  • P.T.REC/012/0067282

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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