Ten-Item Lower Extremity Functional Scale (LEFS-10): Instrument Reduction Based on Brazilian Patients With Lower Limb Dysfunction.
Autor: | Fidelis-de-Paula-Gomes CA; Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho, São Paulo, Brazil., Guimarães-Almeida MQ; Postgraduate Program in Physical Therapy, Universidade Federal de São Carlos, São Carlos, Brazil., Pontes-Silva A; Postgraduate Program in Physical Therapy, Universidade Federal de São Carlos, São Carlos, Brazil. Electronic address: contato.andrepsilva@gmail.com., Protázio JB; Department of Physical Education, Universidade Federal do Maranhão, São Luís, Brazil., Apahaza GHS; Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho, São Paulo, Brazil., Souza CDS; Postgraduate Program in Society, Technologies and Public Policies, Centro Universitário Tiradentes, Maceió, Brazil., Avila MA; Postgraduate Program in Physical Therapy, Universidade Federal de São Carlos, São Carlos, Brazil., Dibai-Filho AV; Department of Physical Education, Universidade Federal do Maranhão, São Luís, Brazil; Postgraduate Program in Physical Education, Universidade Federal do Maranhão, São Luís, Brazil. |
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Jazyk: | angličtina |
Zdroj: | Archives of physical medicine and rehabilitation [Arch Phys Med Rehabil] 2023 Mar; Vol. 104 (3), pp. 438-443. Date of Electronic Publication: 2022 Sep 30. |
DOI: | 10.1016/j.apmr.2022.09.010 |
Abstrakt: | Objective: To propose a short version of the lower extremity functional scale (LEFS), to compare our short version with the different structures proposed for the LEFS by the specialized literature, and to verify the criterion validity of the best structure of the LEFS identified in our study. Design: Cross-sectional observational study. Setting: Physiotherapy clinics. Participants: We included 140 patients with lower limb dysfunction (N=140). Interventions: None. Main Outcome Measures: We used confirmatory factor analysis (CFA), χ 2 /degree of freedom (DF), comparative fit index (CFI), Tucker-Lewis index (TLI), root mean square error of approximation (RMSEA), standardized root mean squared residual (SRMR), Akaike information criterion (AIC), and Bayesian information criterion (BIC). The method of reducing the number of items of the LEFS considered the modification indices and factor loadings. Results: The body site most affected by pain was the knee (71.4%), and the most common diagnoses were knee osteoarthritis (55%) and anterior knee pain (11.4%). LEFS reduction generated a 1-dimensional structure of the LEFS with 10 items (LEFS-10). When compared with other structures, the LEFS-10 presented the best fit indices (χ 2 /DF=1.88, CFI=0.975, TLI=0.968, RMSEA=0.079, and SRMR=0.058) and the lowest values of AIC (3287.063) and BIC (3345.896). LEFS-10 presents a high correlation (Spearman's correlation coefficient [ρ]=0.911, P<.001) with the 20-item LEFS. Conclusion: LEFS-10 is the proposal for a short version of the instrument with the most adequate internal structure, in addition to being satisfactorily correlated with the longer version of the instrument. (Copyright © 2022 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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