Proposal of a new conceptual gait model for patients with Parkinson’s disease based on factor analysis
| العنوان: | Proposal of a new conceptual gait model for patients with Parkinson’s disease based on factor analysis |
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| المؤلفون: | Arcolin Ilaria, Corna Stefano, Giardini Marica, Giordano Andrea, Nardone Antonio, Godi Marco |
| المصدر: | BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-18 (2019) BioMedical Engineering |
| بيانات النشر: | Springer Science and Business Media LLC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | medicine.medical_specialty, lcsh:Medical technology, Parkinson's disease, 0206 medical engineering, Biomedical Engineering, 02 engineering and technology, Structural equation modeling, Biomaterials, Gait (human), Physical medicine and rehabilitation, medicine, Humans, Radiology, Nuclear Medicine and imaging, Gait, Reliability (statistics), Models, Statistical, Radiological and Ultrasound Technology, Research, Correction, Contrast (statistics), Parkinson Disease, General Medicine, Risk factor (finance), medicine.disease, 020601 biomedical engineering, Exploratory factor analysis, Confirmatory factor analysis, lcsh:R855-855.5, Parkinson’s disease, Factor analysis, Factor Analysis, Statistical, Psychology, Model |
| الوصف: | Background:Gait impairment is a risk factor for falls in patients with Parkinson's disease (PD). Gait can be conveniently assessed by electronic walkways, but there is need to select which spatiotemporal gait variables are useful for assessing gait in PD. Existing models for gait variables developed in healthy subjects and patients with PD show some methodological shortcomings in their validation through exploratory factor analysis (EFA), and were never confirmed by confirmatory factor analysis (CFA). The aims of this study were (1) to create a new model of gait for PD through EFA, (2) to analyze the factorial structure of our new model and compare it with existing models through CFA. Results:From the 37 variables initially considered in 250 patients with PD, 10 did not show good-to-excellent reliability and were eliminated, while further 19 were eliminated after correlation matrix and Kaiser-Meyer-Olkin measure. The remaining eight variables underwent EFA and three factors emerged: pace/rhythm, variability, and asymmetry. Structural validity of our new model was then examined with CFA, using the structural equation modeling. After some modifications, suggested by the Modification Indices, we obtained a final model that showed an excellent fit. In contrast, when the structure of previous models of gait was analyzed, no model achieved convergence with our sample of patients. Conclusions:Our model for spatiotemporal gait variables of patients with PD is the first to be developed through an accurate EFA and confirmed by CFA. It contains eight gait variables divided into three factors and shows an excellent fit. Reasons for the non-convergence of other models could be their inclusion of highly inter-correlated or low-reliability variables or could be possibly due to the fact that they did not use more recent methods for determining the number of factors to extract. |
| تدمد: | 1475-925X |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bd14a06fbde33949a37d838fc2c2d85Test https://doi.org/10.1186/s12938-019-0689-3Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....8bd14a06fbde33949a37d838fc2c2d85 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1475925X |
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