Aging & Longevity

Development and validation of the Physical Capacity Score (PiC) to overcome the lack of correlation among traditional physical tests in detecting age-related decline.

TL;DR

The Physical Capacity Score platform demonstrated good repeatability and revealed that all physical capacities declined with age but captured distinct aspects of physical function, highlighting 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.

Key Findings

The Physical Capacity Score platform demonstrated good repeatability for most variables, with all outcomes showing coefficient of variation below 10% and intraclass correlation coefficient above 0.90, except for CoP path length.

  • All variables demonstrated COV <10% and ICC >0.90 in test-retest analysis
  • CoP path length was the exception with COV = 10.5% and ICC = 0.64
  • The platform uses custom-built hardware and software enabling automated data collection and analysis

Correlations among physical capacity outcomes were weak across all pairwise comparisons.

  • Pearson's correlation coefficient (r) range was 0.036–0.373 among all outcomes
  • The weak correlations indicate low redundancy among the six physical tests
  • Six tests assessed were: finger tapping, handgrip strength, single-leg stance, sit-and-reach, five-times sit-to-stand, and the YMCA 3-minute step test

All physical capacities declined significantly with age, but the magnitude of age-related decline varied considerably across different physical tests.

  • All age-related differences were statistically significant (p < 0.001)
  • Handgrip strength showed the smallest age-related effect (η² = 0.035)
  • Sit-and-reach flexibility showed η² = 0.050; finger tapping η² = 0.059; CoP path length η² = 0.095; lower-limb power η² = 0.148
  • Cardiorespiratory fitness showed the largest age-related effect (η² = 0.389)
  • Outcome data were standardized by gender using z-scores and analyzed across age groups using ANOVA

The average Principal Component Analysis component scores revealed large age-related differences across the full battery of physical tests.

  • The average PCA component scores showed η² = 0.301 for age-related differences
  • This effect size was larger than any single individual test outcome except cardiorespiratory fitness (η² = 0.389)
  • PCA was conducted to explore relationships between different physical capacities

The study recruited a sample of 812 adults spanning a wide age range, with a majority of female participants.

  • Total sample: 812 participants
  • Age range: 18–68 years
  • 63.5% of participants were female
  • Participants completed six standardized physical tests administered through the custom platform

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Citation

Boccia G, Brustio P, Mulasso A, Tufo F, Rainoldi A. (2026). Development and validation of the Physical Capacity Score (PiC) to overcome the lack of correlation among traditional physical tests in detecting age-related decline.. PloS one. https://doi.org/10.1371/journal.pone.0343122