Construction Formula of Biological Age Using the Principal Component Analysis

Area of Science:

• Gerontology
• Biostatistics
• Biomarker Discovery

Background:

• Traditional aging concepts focus on single indices, but biological age (BA) uses multiple markers.
• BA equations provide a more precise assessment of the aging process than chronological age (CA).
• BA may offer better prediction of age-related diseases.

Purpose of the Study:

• To summarize current knowledge on biological age (BA) equation construction.
• To discuss influential factors in BA estimation using Principal Component Analysis (PCA).
• To provide an overview of BA estimation by PCA, including sample composition, test items, and biomarker selection.

Main Methods:

• Utilizing Principal Component Analysis (PCA) for BA formula construction.
• Reviewing and summarizing existing literature on BA equation development.
• Analyzing factors influencing BA estimation via PCA.

Main Results:

• PCA is a frequently used method for constructing BA formulas.
• The study discusses the advantages and disadvantages of PCA compared to other methods.
• Key factors in PCA-based BA estimation include sample composition, test item selection, and biomarker choice.

Conclusions:

• BA equations offer a refined approach to aging assessment.
• PCA is a valuable statistical tool for developing accurate and practical BA formulas.
• Understanding the factors influencing BA estimation is crucial for reliable biological age prediction.