Validation of the movement system impairment-based classification in patients with knee pain

Kajbafvala, M. and Ebrahimi-Takamjani, I. and Salavati, M. and Saeedi, A. and Ashnagar, Z. and Pourahmadi, M.R. and Shaterzadeh-Yazdi, M.J. and Amiri, A. (2016) Validation of the movement system impairment-based classification in patients with knee pain. Manual Therapy, 25. pp. 19-26.

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Background: Categorizing patients with knee pain problems based on pathoanatomical sources has not proved to be the most effective method for directing physical therapy interventions. Movement system impairment (MSI) classification system may be an alternative in the assessment, diagnosis, and management of patients with knee pain. No previous study has been conducted to validate the proposed system in these patients. Objective: To assess construct validity of the MSI classification system in patients with knee pain. Design: A cross-sectional methodological study. Setting: Rasul Akram Hospital. Participants: One hundred eighty subjects with knee pain aged 18-65 years. Methods: The MSI classification recognizes seven categories of knee pain problems based on the findings from the symptoms and signs assessment. Three physical therapists examined subjects with knee pain. A principal component analysis (PCA) was used to derive proposed categories. Eigenvalues and a scree plot were also used to determine the factor retention. Results: Four factors related to three proposed categories were extracted from the PCA. Two factors were related to tibiofemoral rotation (TFR) category. The other two factors were related to proposed categories patellar lateral glide (PLG) and tibiofemoral hypomobility (TFHypo). Conclusion: The results provided evidence for the construct validity of three (TFR, PLG, and TFHypo) of the seven categories proposed by MSI classification. In addition TFR was subcategorized into two groups which were named as tibial lateral rotation (TLR) and femoral adduction/medial rotation (FAdd/MR) in the present study. © 2016 Elsevier Ltd.

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Date Deposited: 07 Jul 2018 08:41
Last Modified: 07 Jul 2018 08:41

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