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Literature DB >> 1141673

Assessment of biological age by multiple regression analysis.

T Furukawa, M Inoue, F Kajiya, H Inada, S Takasugi.

Abstract

In order to generate a reference value of aging, estimation of chronological age of healthy subjects was made by multiple regression analysis. It was shown that the estimated ages of hypertensive subjects by the formula used were significantly higher than their chronological ages. It was further observed that parameters representing various ability of movements might yield an alternative regression formula and that the accuracy in age estimation was improved with application of a second-order regression formula.

Entities: Disease

Mesh：

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Year: 1975 PMID： 1141673 DOI： 10.1093/geronj/30.4.422

Source DB: PubMed Journal: J Gerontol ISSN： 0022-1422

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Cited

13 in total

1. Age variation in the upper limit of hearing.

Authors: S Takeda; I Morioka; K Miyashita; A Okumura; Y Yoshida; K Matsumoto
Journal: Eur J Appl Physiol Occup Physiol Date: 1992

2. Effects of habitual physical exercise on physiological age in men aged 20-85 years as estimated using principal component analysis.

Authors: E Nakamura; T Moritani; A Kanetaka
Journal: Eur J Appl Physiol Occup Physiol Date: 1996

3. Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Authors: Emma Pierson; Pang Wei Koh; Tatsunori Hashimoto; Daphne Koller; Jure Leskovec; Nicholas Eriksson; Percy Liang
Journal: Proc Mach Learn Res Date: 2019-04

4. Biological age versus physical fitness age.

Authors: E Nakamura; T Moritani; A Kanetaka
Journal: Eur J Appl Physiol Occup Physiol Date: 1989

5. Constructing an index of physical fitness age for Japanese elderly based on 7-year longitudinal data: sex differences in estimated physical fitness age.

Authors: Misaka Kimura; Chinatsu Mizuta; Yosuke Yamada; Yasuko Okayama; Eitaro Nakamura
Journal: Age (Dordr) Date: 2011-03-22

Assessment of biological age by multiple regression analysis.

1. Age variation in the upper limit of hearing.

2. Effects of habitual physical exercise on physiological age in men aged 20-85 years as estimated using principal component analysis.

3. Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

4. Biological age versus physical fitness age.

5. Constructing an index of physical fitness age for Japanese elderly based on 7-year longitudinal data: sex differences in estimated physical fitness age.

6. Diabetes mellitus and genetic prediabetes. Decreased replicative capacity of cultured skin fibroblasts.

7. The relationship between in vitro cellular aging and in vivo human age.

8. Quantitative measures of healthy aging and biological age.

Review 9. Common methods of biological age estimation.

10. Development of a Physiological Frailty Index for the World Trade Center General Responder Cohort.