Developing a predictive equation of muscular age to evaluate muscle health in Chinese community-dwelling older women

Abstract

Muscle health plays an important role in most common age-related diseases and injuries. To date, a standardized quantitative method to assess muscle health has not yet been developed. Principal component analysis was employed to develop a predictive equation of muscular age based on muscle health variables including skeletal muscle mass of lower limb, grip strength and maximal gait speed. Then validity of muscular age was tested by comparing chronological age to muscular age of the elderly. A predictive equation of muscular age was developed. Muscular age = 0.690 × chronological age − 1.245 × skeletal muscle mass of lower limb + 0.453 × grip strength − 1.291 × maximal walking speed + 40.547. Cross-sectional validity test showed that the predictive equation of muscular age is a valid method to assess muscle health. It is applicable not only to the normal elderly but to the elderly with pre-sarcopenia or sarcopenia.

Additional information

Funding

This work was supported by the Zhejiang Philosophical and Social Science Program (No. 21NDJC004Z) and the Ningbo Public Welfare Science and Technology Project (No. 2022S070).