Prediction of dynamic foot function based on demographic, anthropometric, and clinical foot evaluations

Dynamic foot function plays a crucial role in maintaining stability and efficient locomotion under varying loads. To date, no studies have attempted to predict dynamic foot function using commonly available clinical measurements. This study aimed to develop a predictive model for dynamic foot function based on demographic, anthropometric, and clinical foot assessments. A total of 330 individuals aged ≥ 18 years were evaluated. Clinical variables included demographic data, general health assessments, the Foot Posture Index, and the Foot Health Status Questionnaire. The Center of Pressure Excursion Index (CPEI) served as an indicator of dynamic foot function. Simple linear regressions (p < 0.05) were performed, with CPEI as the dependent variable. Afterwards, a backward stepwise regression identified the best multivariate model for each foot. The mean age of participants was 45.1 ± 18.4 years; 82.1 % were right-foot dominant, and 56.4 % were women. Data from 321 and 323 individuals were analyzed for the dominant and non-dominant foot models, respectively. The two feet exhibited distinct behaviors, with their CPEI influenced by different variables (p < 0.05). Coefficients of determination for the multivariate models were < 14 %, indicating limited clinical applicability of the current model in their present form and highlighting the need to refine predictions with additional functional and biomechanical measures in future research.