Literature DB >> 2282902

Biological age versus physical fitness age in women.

E Nakamura1, T Moritani, A Kanetaka.   

Abstract

The purpose of this study was to determine whether adult women who are in a state of high physical fitness are in a good state biologically, in terms of biological and physical fitness ages as estimated by statistical means. The subjects were 65 healthy Japanese women (aged 20-64 years). Biological and physical fitness ages were estimated from the data for 18 physiological function tests and 5 physical fitness tests, respectively, by a principal component model. The correlation coefficient between biological and physical fitness ages was 0.70 (P less than 0.01), which was generally regarded as a high correlation. Therefore, those who were in a state of high physical fitness were considered to be in good biological condition. This result is in good agreement with the results (r = 0.72) from adult men, on whom we reported previously. A statistical analysis to ascertain the relative importance of each contributory variable associated with the variance in biological age suggested that routine clinical evaluation of blood pressure and lipid metabolism might play an important role in determining not only the presence and severity of vascular disease but also the rate of biological aging in women.

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Year:  1990        PMID: 2282902     DOI: 10.1007/bf00357600

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  16 in total

1.  Biological age versus physical fitness age.

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

Review 2.  Sex, illness, and medical care. A review of data, theory, and method.

Authors:  C A Nathanson
Journal:  Soc Sci Med       Date:  1977-01       Impact factor: 4.634

3.  Serum cholesterol, lipoproteins, and the risk of coronary heart disease. The Framingham study.

Authors:  W B Kannel; W P Castelli; T Gordon; P M McNamara
Journal:  Ann Intern Med       Date:  1971-01       Impact factor: 25.391

4.  Age and other predictors of coronary heart disease.

Authors:  A S Leon
Journal:  Med Sci Sports Exerc       Date:  1987-04       Impact factor: 5.411

Review 5.  Gender and health: an update on hypotheses and evidence.

Authors:  L M Verbrugge
Journal:  J Health Soc Behav       Date:  1985-09

6.  Assessment of biological age by principal component analysis.

Authors:  E Nakamura; K Miyao; T Ozeki
Journal:  Mech Ageing Dev       Date:  1988-12       Impact factor: 5.432

7.  Demographic aspects of the health of the elderly to the year 2000 and beyond.

Authors:  J S Siegel; S L Hoover
Journal:  World Health Stat Q       Date:  1982

8.  Physical activity and the "rate of ageing".

Authors:  N W Shock
Journal:  Can Med Assoc J       Date:  1967-03-25       Impact factor: 8.262

9.  The assessment of biological age and sex differences of human aging.

Authors:  V P Voitenko; A V Tokar
Journal:  Exp Aging Res       Date:  1983       Impact factor: 1.645

Review 10.  Sex differentials in health.

Authors:  L M Verbrugge
Journal:  Public Health Rep       Date:  1982 Sep-Oct       Impact factor: 2.792

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  7 in total

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

Authors:  W Zhang; L Jia; G Cai; F Shao; H Lin; Z Liu; F Liu; D Zhao; Z Li; X Bai; Z Feng; X Sun; X Chen
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

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.  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

Review 4.  Construction Formula of Biological Age Using the Principal Component Analysis.

Authors:  Linpei Jia; Weiguang Zhang; Rufu Jia; Hongliang Zhang; Xiangmei Chen
Journal:  Biomed Res Int       Date:  2016-12-06       Impact factor: 3.411

Review 5.  Common methods of biological age estimation.

Authors:  Linpei Jia; Weiguang Zhang; Xiangmei Chen
Journal:  Clin Interv Aging       Date:  2017-05-11       Impact factor: 4.458

6.  Determination of functional fitness age in women aged 50 and older.

Authors:  Edgar Johani Latorre-Rojas; Joan Antoni Prat-Subirana; Xavier Peirau-Terés; Sebastià Mas-Alòs; José Vicente Beltrán-Garrido; Antoni Planas-Anzano
Journal:  J Sport Health Sci       Date:  2017-01-23       Impact factor: 7.179

7.  Adapting Fitness Age Calculations to Suit a Modern North American Female Population, Regardless of Age, Race, or Ability Level.

Authors:  Tara L Diesbourg; Geneviève A Dumas
Journal:  Gerontol Geriatr Med       Date:  2020-12-29
  7 in total

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