The informative value of methods for diagnosing aging and the development of prognostic criteria for the effectiveness of complex physiotherapy for managing active longevity
This analysis reveals predictors of premature aging and biological age in patients, indicating the effectiveness of statistical methods for physiotherapy.
Key Points
To analyze predictors of premature aging and assess the validity of statistical methods in evaluating physiotherapy effectiveness.
Analysis of statistical methods including regression analysis and correlation adaptometry.
Conducted on 40 patients aged 20 to 90 years after informed consent.
Patients underwent comprehensive clinical and functional examinations and a physiotherapy complex twice a year.
Active longevity is influenced by insulin resistance and malondialdehyde levels.
Statistical methods identified telomere length and systemic inflammation index as key predictors.
Combined physiotherapy shows positive effects on biological age.