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Functional Index Questionnaire: structural validity study in Brazilian patients with anterior knee pain
André Pontes-Silva1, Almir Vieira Dibai-Filho2, Flávio de Oliveira Pires2
1Departamento de Fisioterapia, Programa de Pós-Graduação em Fisioterapia, Universidade Federal de São Carlos (UFSCar), São Carlos (SP), Brazil.
The Functional Index Questionnaire (FIQ) structure in Brazilian patients with anterior knee pain showed poor fit due to item redundancy. Adjustments for correlated items improved the model, suggesting cautious use of the current FIQ version.
Area of Science:
- Orthopedics
- Rheumatology
- Physical Medicine and Rehabilitation
Background:
- Anterior knee pain is a common condition affecting various patient populations.
- The Functional Index Questionnaire (FIQ) is used to assess functional status in patients with knee pain.
- Validating assessment tools is crucial for accurate clinical evaluation and research.
Purpose of the Study:
- To evaluate the psychometric properties of the Functional Index Questionnaire (FIQ) in a Brazilian cohort with anterior knee pain.
- To assess the structural validity of the FIQ using confirmatory factor analysis (CFA).
Main Methods:
- A cohort of 100 Brazilian patients (≥18 years) with anterior knee pain for at least 3 months participated.
- Confirmatory factor analysis (CFA) was employed to evaluate the FIQ's structure.
- Standard fit indices including CFI, TLI, RMSEA, and SRMR were used to assess model fit.
Main Results:
- The initial one-dimensional FIQ model showed a poor fit (RMSEA = 0.104), indicating substantial residual error.
- Correlations between similar items (e.g., stair climbing, squatting/kneeling) were identified as sources of redundancy.
- After accounting for item correlations, the model fit improved significantly (RMSEA = 0.072).
Conclusions:
- The current version of the FIQ, when applied to Brazilian patients with anterior knee pain, demonstrates structural limitations.
- Item redundancy within the FIQ contributes to model misfit.
- Clinicians and researchers should use the FIQ with caution in this population, considering potential biases due to item overlap.
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