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The Relationship Between Gait and Severity of Femoroacetabular Impingement

The Relationship Between Spatiotemporal Gait Parameters and Imaging-based Characteristics of Femoroacetabular Impingement (FAI) in Symptomatic Individuals

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06536088
Enrollment
25
Registered
2024-08-02
Start date
2022-01-01
Completion date
2024-12-30
Last updated
2024-08-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Femoroacetabular Impingement

Brief summary

In this study, the spatiotemporal gait parameters of symptomatic femoroacetabular impingement (FAI) patients scheduled for hip arthroscopy are evaluated. Radiological measurements, including the Alpha angle (AA), Lateral Center-Edge Angle (LCEA), and Kellgren-Lawrence (KL) osteoarthritis classification, are recorded from patient files. The relationship between these radiological measurements and walking parameters is assessed. Additionally, the spatiotemporal gait parameters of FAI patients are compared with those of a healthy control group. Walking assessments provide valuable insights into how Femoroacetabular Impingement (FAI) affects movement and aid in evaluating treatment outcomes. Research indicates that individuals with FAI experience reduced hip motion and slower walking speeds. By analyzing spatiotemporal gait parameters-such as gait velocity, cadence, step length, and vertical center of mass-the impact of FAI on walking can be better understood, leading to the development of targeted treatment strategies. The goal is to explore the correlation between these gait parameters and imaging-based FAI characteristics in affected individuals.

Detailed description

Patients and control groups are compared using the paired samples t-test for parametric data and the Wilcoxon signed ranks test for nonparametric data. The relationship between gait parameters and imaging-based FAI characteristics is examined by calculating the Pearson correlation coefficient (r) for parametric data and the Spearman rank correlation coefficient (rho) for non-parametric data.

Interventions

OTHERWalking assesment

Spatiotemporal walking assessments are performed using the Gait Analyzer app (version 0.9.95.0) on a smartphone. Participants who can walk independently without assistance walk a 25-meter path at their normal speed, with the smartphone securely attached to their body above the third lumbar vertebra using a belt. The app records gait velocity, cadence, step time, step length, and vertical center of mass for all participants.

Sponsors

Gazi University
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years

Inclusion criteria

* Patients with femoroacetabular impingement scheduled for hip arthroscopy

Exclusion criteria

* Severe hip osteoarthritis * Hip dysplasia * Previous ipsilateral and/or contralateral hip surgery, * Any orthopedic or neurologic pathology that may affect gait patterns

Design outcomes

Primary

MeasureTime frameDescription
Gait velocityBaselineGait velocity, also known as walking speed, is a crucial parameter in spatiotemporal gait analysis. It refers to the rate at which an individual walks over a given distance and is typically measured in meters per second (m/s).
CadenceBaselineCadence refers to the number of steps a person takes per minute while walking.
Step lengthBaselineStep length refers to the distance covered between two consecutive footfalls of opposite feet.
Vertical center of massBaselineThe vertical center of mass refers to the vertical position of the body's center of mass during walking. It is the point where the body's mass is considered to be concentrated and it fluctuates as the person moves.

Countries

Turkey (Türkiye)

Contacts

Primary Contactİnci H Ayas, Msc
inciayass@gmail.com05071740342

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026