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Development and validation of the Physical Capacity Score (PiC) to overcome the lack of correlation among traditional
Gennaro Boccia1,2, Paolo Riccardo Brustio1,2, Anna Mulasso2,3
1Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Abstract:
We developed the Physical Capacity Score, a set of validated and commonly used physical tests for adults, administered through a custom-built hardware and software platform that enables automated data collection and analysis. This study aimed to evaluate the platform's repeatability, examine age-related differences, and explore the relationships between different physical capacities in a sample of adults. A total of 812 participants (aged 18-68 years, 63.5% female) were recruited. Participants completed six physical tests: finger tapping, handgrip strength, single-leg stance, sit-and-reach, five-times sit-to-stand, and the YMCA 3-minute step test. Outcome data were standardized by gender (z-scores) and analyzed across age groups using ANOVA. Pearson's correlation coefficient (r) was used to assess redundancy among outcomes, and Principal Component Analysis (PCA) was conducted. In a test-retest analysis, all variables demonstrated coefficient of variation (COV) <10% and intraclass correlation coefficient (ICC) >0.90, except for CoP path length (COV = 10.5%, ICC = 0.64). Correlations among outcomes were weak (r range: 0.036-0.373). While all physical capacities declined with age (p < 0.001), effect sizes varied: from the least to the most age-sensitive outcome (η2 values), we found differences in handgrip strength (η2 = 0.035), sit-and-reach (η2 = 0.050), finger tapping (η2 = 0.059), CoP path length (η2 = 0.095), lower-limb power (η2 = 0.148), and cardiorespiratory fitness (η2 = 0.389). The average PCA component scores revealed large age-related differences (η2 = 0.301). Our findings suggest that the developed platform is a valuable tool for assessing physical function, and all physical tests captured distinct aspects of physical capacities. This highlights the necessity of employing a comprehensive battery of tests to gain a holistic understanding of an individual's physical health and detect age-related decline effectively.
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