Earticle

초록

영어

Biological age (BA) represents the rate of the senescence with a set of biomarkers. The BA prediction models have not been compared to ob-tain an optimal BA prediction model with BA biomarkers for Korean men. The study aims to obtain a set of BA biomarkers and compare three of the reported statistical approaches for an optimal BA predic-tion model. The Korea National Health and Nutrition Examination Sur-veys data of 2009 to 2011 were used to select six BA biomarkers from 940 healthy subjects aged between 30 to 80 years. The multiple linear regression (MLR), principal component analysis (PCA), and Klemera and Doubal methods (KDM) were used to obtain three BA prediction models. Correlation coefficients (r) with 95% confidence intervals (CI) and regression slopes were assessed. One of the Euro Quality of Life-5 Dimensions, mobility, was compared for feasibility test of each BA mod-els. KDM showed greatest correlation (r=0.88 [P<0.05]) with smallest 95% CI and regression slope (1.00). PCA also showed strong correlation (r=0.79 [P<0.05]) with small 95% CI and regression slope (0.94). MLR (r=0.68 [P<0.05]) showed over and underestimated BA results at the end of the age spectrum. Estimations of BA were most reliable with KDM. The PCA and MLR approaches were comparatively simple to de-vise for Korean men.

목차

Abstract
INTRODUCTION
MATERIALS AND METHODS
Subjects
Inclusion and exclusion process
BA prediction models
Feasibility assessment
Statistical analyses
RESULTS
DISCUSSION
CONFLICT OF INTEREST
REFERENCES

키워드

저자

• Haemi Jee [ Department of Sports and Health Care, Namseoul University, Cheonan, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JER [Journal of Exercise Rehabilitation]

• 간기

  격월간

• pISSN

  2288-176X

• eISSN

  2288-1778

• 수록기간

  2013~2026

• 등재여부

  SCOPUS,KCI 등재

• 십진분류

  KDC 517 DDC 613