Akademik Veri Yönetim Sistemi
Journal of Inonu University Vocational School of Health Services, cilt.14, sa.1, ss.101-114, 2026 (Scopus, TRDizin)
This study aimed to investigate, in children with cerebral palsy (CP), the relationships between mobility performance, assessed using four classification systems (GMFCS, MACS, CFCS, and BFMF), and the Functional Mobility Scale (FMS), and to evaluate the ability of these systems to predict mobility. A total of 100 children with cerebral palsy aged 8-14 years were included in the study. The distributions of GMFCS, MACS, CFCS, and BFMF levels and their relationships with FMS scores at distances of 5 m, 50 m, and 500 m were analyzed. The classification system levels were converted into dummy variables and included in multiple regression models. According to multiple linear regression analyses, GMFCS levels were significant predictors of FMS scores at all distances, whereas MACS, CFCS, and BFMF levels did not significantly contribute to the models. Kruskal–Wallis tests based on GMFCS levels revealed significant differences at all distances. In addition, correlation analysis revealed positive correlations among all classification systems. The strongest correlation was observed between GMFCS and BFMF (r = 0.571, p < 0.001), and the weakest was observed between CFCS and MACS (r = 0.231, p = 0.021). The explanatory powers of the regression models for 5-m, 50-m, and 500-m distances were 56.1%, 57.2%, and 40.6% (Adjusted R²), respectively. These findings demonstrate that GMFCS is the most effective classification system for predicting mobility and may be prioritized in clinical assessments. Moreover, the significant and positive correlations among the classification systems suggest they may be used complementarily in clinical practice.