[Prospects for determining age from human soft tissues (a morphometric study)].

Area of Science:

• Forensic Anthropology
• Biometrics
• Gerontology

Background:

• Accurate age estimation is crucial in forensic and medical contexts.
• Traditional methods often rely on single indicators, leading to significant variability.
• Biological age can differ substantially from chronological (passport) age.

Purpose of the Study:

• To develop and validate regression equations for age estimation using biometric data.
• To assess the accuracy of age diagnosis based on single versus multiple biological markers.
• To establish a more precise method for determining biological age from post-mortem examinations.

Main Methods:

• Biometric analysis of the aorta, endocrine glands (testes, prostate, thyroid), and hand radiography.
• Application of paired and multiple linear regression models.
• Study conducted on 427 male and female cadavers aged 17-89 years.

Main Results:

• Formulated regression equations for age diagnosis.
• Demonstrated that age diagnosis based on a single parameter yields significant differences between biological and passport age.
• Utilizing multiple biological markers significantly enhances diagnostic confidence.

Conclusions:

• A combined approach using multiple biometric indicators is superior for accurate age estimation.
• The proposed method achieves a confidence interval of +/- 4.09 years for age diagnosis.
• This study provides a robust framework for improving age determination in forensic science.