Common methods of biological age estimation

Linpei Jia,1–3 Weiguang Zhang,2,3 Xiangmei Chen1–3 1Department of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province, 2Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing, 3State Key Laboratory of Kidney Disease,...

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Autores principales:	Jia L, Zhang W, Chen X
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2017
Materias:	chronological age statistical method aging biomarker biological age estimation Geriatrics RC952-954.6
Acceso en línea:	https://doaj.org/article/678eb364790e4d1ab91b724d5e66c1cc
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spelling	oai:doaj.org-article:678eb364790e4d1ab91b724d5e66c1cc2021-12-02T05:24:20ZCommon methods of biological age estimation1178-1998https://doaj.org/article/678eb364790e4d1ab91b724d5e66c1cc2017-05-01T00:00:00Zhttps://www.dovepress.com/common-methods-of-biological-age-estimation-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Linpei Jia,1–3 Weiguang Zhang,2,3 Xiangmei Chen1–3 1Department of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province, 2Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing, 3State Key Laboratory of Kidney Disease, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China Abstract: At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component analysis (PCA), the Hochschild’s method, and the Klemera and Doubal’s method (KDM). The fundamental differences in these four methods are the roles of CA and the selection criteria of aging biomarkers. In MLR and PCA, CA is treated as the selection criterion and an independent index. The Hochschild’s method and KDM share a similar concept, making CA an independent variable. Previous studies have either simply constructed the BA model by one or compared the four methods together. However, reviews have yet to illustrate and compare the four methods systematically. Since the BA model is a potential estimation of aging for clinical use, such as predicting onset and prognosis of diseases, improving the elderly’s living qualities, and realizing successful aging, here we summarize previous BA studies, illustrate the basic statistical steps, and thoroughly discuss the comparisons among the four common BA estimation methods. Keywords: chronological age, statistical method, aging biomarker, statistical modelJia LZhang WChen XDove Medical Pressarticlechronological agestatistical methodaging biomarkerbiological age estimationGeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 12, Pp 759-772 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	chronological age statistical method aging biomarker biological age estimation Geriatrics RC952-954.6
spellingShingle	chronological age statistical method aging biomarker biological age estimation Geriatrics RC952-954.6 Jia L Zhang W Chen X Common methods of biological age estimation
description	Linpei Jia,1–3 Weiguang Zhang,2,3 Xiangmei Chen1–3 1Department of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province, 2Department of Nephrology, Chinese People’s Liberation Army General Hospital, Beijing, 3State Key Laboratory of Kidney Disease, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China Abstract: At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component analysis (PCA), the Hochschild’s method, and the Klemera and Doubal’s method (KDM). The fundamental differences in these four methods are the roles of CA and the selection criteria of aging biomarkers. In MLR and PCA, CA is treated as the selection criterion and an independent index. The Hochschild’s method and KDM share a similar concept, making CA an independent variable. Previous studies have either simply constructed the BA model by one or compared the four methods together. However, reviews have yet to illustrate and compare the four methods systematically. Since the BA model is a potential estimation of aging for clinical use, such as predicting onset and prognosis of diseases, improving the elderly’s living qualities, and realizing successful aging, here we summarize previous BA studies, illustrate the basic statistical steps, and thoroughly discuss the comparisons among the four common BA estimation methods. Keywords: chronological age, statistical method, aging biomarker, statistical model
format	article
author	Jia L Zhang W Chen X
author_facet	Jia L Zhang W Chen X
author_sort	Jia L
title	Common methods of biological age estimation
title_short	Common methods of biological age estimation
title_full	Common methods of biological age estimation
title_fullStr	Common methods of biological age estimation
title_full_unstemmed	Common methods of biological age estimation
title_sort	common methods of biological age estimation
publisher	Dove Medical Press
publishDate	2017
url	https://doaj.org/article/678eb364790e4d1ab91b724d5e66c1cc
work_keys_str_mv	AT jial commonmethodsofbiologicalageestimation AT zhangw commonmethodsofbiologicalageestimation AT chenx commonmethodsofbiologicalageestimation
_version_	1718400415992643584

Common methods of biological age estimation

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