The Effect of Muscular Fatigue on Lower Limb Kinematics During Single-Leg Drop Landing in Female Athletes (SLD)
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Detaljeret beskrivelse
Undersøgelsestype
Undersøgelsestype
Tilmelding (Anslået)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiekontakt
Studiekontakt
- Navn: mawada mohamed, master
- Telefonnummer: +20 10 24330410
- E-mail: mawada.mooda96@gmail.com
Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
Tager imod sunde frivillige
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
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
|---|---|
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Eksperimentel: 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
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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
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Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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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
|
Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Datoer for undersøgelser
Studer store datoer
Studiestart (Anslået)
Studiestart
Primær færdiggørelse (Anslået)
Primær færdiggørelse
Studieafslutning (Anslået)
Studieafslutning
Datoer for studieregistrering
Først indsendt
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Først opslået
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering sendt
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- P.T.REC/012/0067282
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
Studerer et amerikansk FDA-reguleret lægemiddelprodukt
Studerer et amerikansk FDA-reguleret enhedsprodukt
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