A model for estimating body shape biological age based on clinical parameters associated with body composition

Area of Science:

• Gerontology
• Body Composition Analysis
• Biometrics

Background:

• No prior studies have estimated body shape biological age using clinical body composition parameters.
• Understanding age-related body shape changes is crucial for health assessment.

Purpose of the Study:

• To investigate the relationship between clinical body composition parameters and chronological age.
• To develop and propose a model for estimating body shape biological age.

Main Methods:

• Analysis of data from 243,778 individuals aged 20-90 years in Korea (2004-2011).
• Utilized clinical parameters including waist-to-hip ratio, hip circumference, waist circumference, and height.
• Employed multiple regression analysis to develop the estimation model.

Main Results:

• Waist-to-hip ratio showed the highest correlation with age in both men (r=0.786) and women (r=0.859).
• The developed model explained 71% of the variance in body shape biological age for men and 76% for women.
• Significant correlations were observed between other body composition parameters and age.

Conclusions:

• The proposed model offers a novel approach to assess age-related variations in body shape.
• This estimation model can serve as an adjunctive tool for predicting body shape differences using common obesity assessment parameters.