title: Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men.
abstract: The purpose of the present study is to find clinically useful candidate biomarkers of aging, and using these to develop an equation measuring biological age (BA) in Korean men, then to validate the clinical usefulness of it. Among 4288 men who received medical health examinations, we selected 1588 men who met the normality criteria of each variable. We assumed that chronological ages (CA) of healthy persons represent the BA of them. Variables showing significant correlations with CA were selected. Redundant variables were excluded. We selected 11 variables: VO(2)max, percent body fat (%BF), waist circumference (WC), forced expiratory volume in 1 s (FEV1), systolic blood pressure (SBP), low density cholesterol (LDLCH), blood urea nitrogen (BUN), serum albumin (SA), erythrocyte sedimentation rate(ESR) hearing threshold (HT), and glycosylated hemoglobin (HBA1C). These 11 variables were then submitted into principal component analysis (PCA) and standardized BA scores were obtained. Using them and T-scale idea, the following equation to assess BA was developed: BA=-28.7+0.83(%BF)+0.48(WC)+0.13(SBP)-0.27(VO(2)max)+0.19(HT)-3.1(FEV1)+0.32(BUN)+0.06(LDLCH)-3.0(SA)+0.34(ESR)+4.6(HBA1C). We compared the BA of 3122 men by their fasting glucose and age level. The BA of the higher glucose level group was significantly higher than that of others at all CA levels. The selected 11 biomarkers encompassed known clinically important factors of adult diseases and functional disabilities. This BA assessment equation can be used in the general Korean male population and it proved to be clinically useful.
authors.affiliation: Department of Family Medicine, Healthcare System Gangnam Center of Seoul National University Hospital, 39th Floor, Gangnam Finance Center 737, Yeoksam-dong, Gangnam-gu, Seoul 135-984, South Korea.
authors.forename: JinHo
authors.initials: J
authors.lastname: Park
authors.forename: BeLong
authors.initials: B
authors.lastname: Cho
authors.forename: HyukTae
authors.initials: H
authors.lastname: Kwon
authors.forename: CheolMin
authors.initials: C
authors.lastname: Lee
mesh_terms: D000328:Adult; D000368:Aged; D000375:Aging / Q000502:physiology*; D044466:Asian People; D015415:Biomarkers; D001774:Blood Chemical Analysis; D001794:Blood Pressure / Q000502:physiology*; D001806:Blood Urea Nitrogen; D015992:Body Mass Index; D004906:Erythrocyte Count; D005541:Forced Expiratory Volume / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological
chemical_list: D015415:Biomarkers