Literature DB >> 12672981

Biomarkers of aging in women and the rate of longitudinal changes.

Linda Massako Ueno1, Yoshinori Yamashita, Toshio Moritani, Eitaro Nakamura.   

Abstract

The purposes of this study were (1) to estimate biological age score (BAS) in Japanese healthy women based on the 4-7 years longitudinal data for physiological, hematological and biochemical examinations and (2) to examine the rate of aging changes in adult women based on the estimated BAS. The samples consisted of cross-sectional (n=981) and longitudinal (n=110) groups. Out of 31 variables examined, five variables (forced expiratory volume in 1.0 s, systolic blood pressure, mean corpuscular hemoglobin, glucose, albumin/globulin ratio) that met the following criteria: 1) significant cross-sectional correlation with age; 2) significant longitudinal change in the same direction as the cross-sectional correlation; and (3) assessment of redundancy, were selected as candidate biomarkers of aging. This variable set was then submitted into a principal component analysis, and the first principal component obtained from this analysis was used as an equation for assessing one's BAS. Individual BAS showed a high longitudinal stability of age-related changes, suggesting high predictive validity of our newly developed aging measurement equation. However, changes in the aging rate based on the estimated BAS were not constant. The mean slopes of the regression lines of BAS for the three age groups (age<45, 45</=age<65 yrs, 65</=age) were 0.095, 0.065, 0.138, respectively. One-way analysis of variance detected a significant difference (F=5.14, p<0.01) among the three age groups. These results suggest that the rate of aging in adult women is relatively slower until 65 years of age, but after 65, the rate of aging shows a rapid increase. We concluded that the longitudinal method used for selection of variables to compute the BAS was useful and theoretically valid compared to those obtained from cross-sectional data analysis.

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Year:  2003        PMID: 12672981     DOI: 10.2114/jpa.22.37

Source DB:  PubMed          Journal:  J Physiol Anthropol Appl Human Sci        ISSN: 1345-3475


  11 in total

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3.  Model Construction for Biological Age Based on a Cross-Sectional Study of a Healthy Chinese Han population.

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4.  Age-Related Changes in Biomarkers: Longitudinal Data from a Population-Based Sample.

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Review 6.  Construction Formula of Biological Age Using the Principal Component Analysis.

Authors:  Linpei Jia; Weiguang Zhang; Rufu Jia; Hongliang Zhang; Xiangmei Chen
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7.  Biological age as a useful index to predict seventeen-year survival and mortality in Koreans.

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Journal:  Clin Interv Aging       Date:  2017-05-11       Impact factor: 4.458

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Journal:  Ther Adv Urol       Date:  2018-11-11

10.  Analysis of nonlinear gene expression progression reveals extensive pathway and age-specific transitions in aging human brains.

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