Literature DB >> 6873212

Biological age and its estimation. II. Assessment of biological age of albino rats by multiple regression analysis.

T L Dubina, V A Dyundikova, E V Zhuk.   

Abstract

Multiple regression model of biological age (BA) theoretically gives agreement with the main concept of BA. When assessment of BA is based on the model, the age being in regression center, the method provides satisfactory results, whereas BA estimates of individuals in extreme age groups are erroneous. Investigation of male and female Wistar rats of age 5-29 months showed the BA estimates calculated from 4-10 physiological indices in young (5-7 mo) animals are overestimated, and in old (24-28 mo) animals are underestimated. Coincidence of average BA in one-age group of animals with its chronological age served as a criterion for the correspondence of the estimate to "real" BA. The paper also examines the following questions: the necessary and sufficient number of physiological indices; the sample size from the intact animal population to establish normal aging standard; the relationship between BA and animal weight.

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Year:  1983        PMID: 6873212     DOI: 10.1016/0531-5565(83)90046-3

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  9 in total

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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

5.  Biological age as a useful index to predict seventeen-year survival and mortality in Koreans.

Authors:  Jinho Yoo; Yangseok Kim; Eo Rin Cho; Sun Ha Jee
Journal:  BMC Geriatr       Date:  2017-01-05       Impact factor: 3.921

Review 6.  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

7.  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

8.  A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study.

Authors:  Xingqi Cao; Guanglai Yang; Xurui Jin; Liu He; Xueqin Li; Zhoutao Zheng; Zuyun Liu; Chenkai Wu
Journal:  Front Med (Lausanne)       Date:  2021-12-01

9.  Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues.

Authors:  Fayou Wang; Jialiang Yang; Huixin Lin; Qian Li; Zixuan Ye; Qingqing Lu; Luonan Chen; Zhidong Tu; Geng Tian
Journal:  Front Genet       Date:  2020-09-24       Impact factor: 4.599

  9 in total

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