[On a relationship between chronological age and functional age (author's transl)]

Area of Science:

• Gerontology
• Biomedical Science
• Quantitative Biology

Context:

• Understanding biological age is crucial for assessing health status and predicting age-related disease risk.
• Current methods for determining biological age often lack a unified approach integrating diverse data types.
• Clinical data and chronological age are fundamental parameters in aging research.

Purpose:

• To develop a precise mathematical model for calculating biological age.
• To integrate clinical data and chronological age into a single predictive equation.
• To provide a standardized method for biological age assessment.

Summary:

• A novel equation is proposed to calculate biological age by incorporating the aging rate derived from clinical data and the individual's chronological age.
• This model offers a quantitative approach to biological age estimation, moving beyond simple chronological progression.
• The equation aims to provide a more accurate reflection of an individual's physiological state relative to their chronological age.

Impact:

• This research could lead to more accurate health assessments and personalized medicine strategies.
• The developed equation may serve as a valuable tool for researchers and clinicians in gerontology.
• Improved biological age estimation can aid in early detection and management of age-related conditions.