title: Development of models for predicting biological age (BA) with physical, biochemical, and hormonal parameters.
abstract: Individual differences are the hallmark of aging. Chronological age (CHA) is known that fails to provide an accurate indicator of the aging but biological age (BA) estimates the functional status of an individual in reference to his or her chronological peers on the basis of how well he or she functions in comparison with others of the same CHA. Therefore, we developed models for predicting BA that can be applicable in clinical practice settings. This was a community-based cross-sectional study. Subjects were recruited from the health promotion center in Korea from 2001 to 2005. Among these, data obtained from the 3575 participants (1302 men and 2273 women) was used for clinical evaluation and statistical analysis. For our test battery we selected 25 parameters among the routine tests. For males, the best models were developed using 15, 7, 5, and 4 of the 25 chosen parameters for total, physical, biochemical and hormonal characteristics, respectively (R(2)=0.62, 0.38, 0.33, and 0.36, respectively). Similar to males, for the females, 14, 6, 8, and 3 parameters were developed as the models (R(2)=0.66, 0.40, 0.42, and 0.37, respectively). Our BA prediction models may be used as supplementary tools adding knowledge in the evaluation of aging status.
authors: Department of Family and Geriatric Medicine, SAFER Medical Center and Bio-Age Medical Research Institute, 117-1 Dosu-Ri, Toechon-Myeon, GwangJu-Si, Gyeonggi-Do 464-841, South Korea. baecy@naver.com
authors: Chul-Young
authors: CY
authors: Bae
authors: Young Gon
authors: YG
authors: Kang
authors: Sehyun
authors: S
authors: Kim
authors: Chooyon
authors: C
authors: Cho
authors: Hee Cheol
authors: HC
authors: Kang
authors: Byung Yeon
authors: BY
authors: Yu
authors: Sang-Wha
authors: SW
authors: Lee
authors: Kyung Hee
authors: KH
authors: Cho
authors: Duk Chul
authors: DC
authors: Lee
authors: Kyurae
authors: K
authors: Lee
authors: Jong Sung
authors: JS
authors: Kim
authors: Kyung Kyun
authors: KK
authors: Shin
mesh_terms: D000328:Adult; D000368:Aged; D000375:Aging / Q000502:physiology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007723:Korea; D008297:Male; D008875:Middle Aged; D008954:Models, Biological