Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men.

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.

[1]  R. Sprott Biomarkers of aging. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[2]  E. Nakamura,et al.  Biomarkers of aging in women and the rate of longitudinal changes. , 2003, Journal of physiological anthropology and applied human science.

[3]  D. Knook,et al.  Necessity of the assessment of health status in human immunogerontological studies: Evaluation of the senieur protocol , 1990, Mechanisms of Ageing and Development.

[4]  T. Furukawa,et al.  Assessment of biological age by multiple regression analysis. , 1975, Journal of gerontology.

[5]  E. V. Zhuk,et al.  Biological age and its estimation. III. Introduction of a correction to the multiple regression model of biological age and assessment of biological age in cross-sectional and longitudinal studies , 1984, Experimental Gerontology.

[6]  R. Hochschild Can an index of aging be constructed for evaluating treatments to retard aging rates? A 2,462-person study. , 1990, Journal of gerontology.

[7]  D K Ingram,et al.  Toward the behavioral assessment of biological aging in the laboratory mouse: concepts, terminology, and objectives. , 1983, Experimental aging research.

[8]  W. James,et al.  Physical activity and its impact on health outcomes. Paper 1: the impact of physical activity on cardiovascular disease and all‐cause mortality: an historical perspective , 2002, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[9]  Assessment of Biological Age , 1974 .

[10]  E. V. Zhuk,et al.  Biological age and its estimation. III. Introduction of a correction to the multiple regression model of biological age in cross-sectional and longitudinal studies. , 1984, Experimental gerontology.

[11]  W. Kannel,et al.  Hearing in the elderly: the Framingham cohort, 1983-1985. Part I. Basic audiometric test results. , 1990, Ear and hearing.

[12]  R. Levy,et al.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. , 1972, Clinical chemistry.

[13]  F. Speizer,et al.  Peak expiratory flow rate and 5-year mortality in an elderly population. , 1991, American journal of epidemiology.

[14]  I. Webster,et al.  A relationship between functional age and health status in female subjects. , 1976, Journal of gerontology.

[15]  X. Shu,et al.  Abdominal adiposity and mortality in Chinese women. , 2007, Archives of internal medicine.

[16]  Assessment of biological age. Methodological study in two finnish populations. , 1974, Gerontologia.

[17]  M. Skalicky,et al.  Models of the biological age of the rat. I. A factor model of age parameters , 1980, Mechanisms of Ageing and Development.

[18]  J. Fleg,et al.  Role of muscle loss in the age-associated reduction in VO2 max. , 1988, Journal of applied physiology.

[19]  V P Voitenko,et al.  The assessment of biological age and sex differences of human aging. , 1983, Experimental aging research.

[20]  E. Metter,et al.  Next steps in describing aging and disease in longitudinal studies. , 1990, Journal of gerontology.

[21]  E. Nakamura,et al.  Evaluating measures of hematology and blood chemistry in male rhesus monkeys as biomarkers of aging , 1994, Experimental Gerontology.

[22]  P. Whincup,et al.  Serum albumin and risk of stroke, coronary heart disease, and mortality: the role of cigarette smoking. , 2004, Journal of clinical epidemiology.

[23]  G. Mcclearn Biomarkers of age and aging , 1997, Experimental Gerontology.

[24]  P Whelton,et al.  Prevalence of hypertension in the US adult population. Results from the Third National Health and Nutrition Examination Survey, 1988-1991. , 1995, Hypertension.

[25]  E. Nakamura,et al.  A strategy for identifying biomarkers of aging: further evaluation of hematology and blood chemistry data from a calorie restriction study in rhesus monkeys , 1998, Experimental Gerontology.

[26]  N. Clark,et al.  Standards of Medical Care in Diabetes: Response to Power , 2006 .

[27]  V. Gudnason,et al.  Erythrocyte sedimentation rate, an independent predictor of coronary heart disease in men and women: The Reykjavik Study. , 2003, American journal of epidemiology.

[28]  George T. Baker,et al.  Biomarkers of aging , 1988, Experimental Gerontology.

[29]  E. V. Zhuk,et al.  Biological age and its estimation. II. Assessment of biological age of albino rats by multiple regression analysis , 1983, Experimental Gerontology.

[30]  E. Nakamura,et al.  Assessment of biological age by principal component analysis , 1988, Mechanisms of Ageing and Development.

[31]  Richard Hochschild,et al.  Improving the precision of biological age determinations. Part 1: A new approach to calculating biological age , 1989, Experimental Gerontology.

[32]  Sara Rosenbaum,et al.  Recent National Cholesterol Education Program Adult Treatment Panel III update: adjustments and options. , 2005, The American journal of cardiology.

[33]  M. Smoke,et al.  The measurement of biological age. , 1980, Experimental aging research.