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

BACKGROUND: Many studies have been conducted to quantitatively estimate biological age using measurable biomarkers. Biological age should function as a valid proxy for aging, which is closely related with future work ability, frailty, physical fitness, and/or mortality. A validation study using coho...

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Autores principales: Yoo, Jinho, Kim, Yangseok, Cho, Eo Rin, Jee, Sun Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217268/
https://www.ncbi.nlm.nih.gov/pubmed/28056846
http://dx.doi.org/10.1186/s12877-016-0407-y
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author Yoo, Jinho
Kim, Yangseok
Cho, Eo Rin
Jee, Sun Ha
author_facet Yoo, Jinho
Kim, Yangseok
Cho, Eo Rin
Jee, Sun Ha
author_sort Yoo, Jinho
collection PubMed
description BACKGROUND: Many studies have been conducted to quantitatively estimate biological age using measurable biomarkers. Biological age should function as a valid proxy for aging, which is closely related with future work ability, frailty, physical fitness, and/or mortality. A validation study using cohort data found biological age to be a superior index for disease-related mortality than chronological age. The purpose of this study is to demonstrate the validity of biological age as a useful index to predict a person’s risk of death in the future. METHODS: The data consists of 13,106 cases of death from 557,940 Koreans at 20–93 years old, surveyed from 1994 to 2011. Biological ages were computed using 15 biomarkers measured in general health check-ups using an algorithm based on principal component analysis. The influence of biological age on future mortality was analyzed using Cox proportional hazards regression considering gender, chronological age, and event type. RESULTS: In the living subjects, the average biological age was almost the same as the average chronological age. In the deceased, the biological age was larger than the chronological age: largest increment of biological age over chronological age was observed when their baseline chronological age was within 50–59 years. The death rate significantly increased as biological age became larger than chronological age (linear trend test, p value < 0.0001). The largest hazard ratio was observed in subjects whose baseline chronological age was within 50–59 years when the cause was death from non-cancerous diseases (HR = 1.30, 95% confidence intervals = 1.26 - 1.34). The survival probability, over the 17 year term of the study, was significantly decreased in the people whose biological age was larger than chronological age (log rank test, p value < 0.001). CONCLUSIONS: Biological age could be used to predict future risk of death, and its effect size varied according to gender, chronological age, and cause of death. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0407-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-52172682017-01-09 Biological age as a useful index to predict seventeen-year survival and mortality in Koreans Yoo, Jinho Kim, Yangseok Cho, Eo Rin Jee, Sun Ha BMC Geriatr Research Article BACKGROUND: Many studies have been conducted to quantitatively estimate biological age using measurable biomarkers. Biological age should function as a valid proxy for aging, which is closely related with future work ability, frailty, physical fitness, and/or mortality. A validation study using cohort data found biological age to be a superior index for disease-related mortality than chronological age. The purpose of this study is to demonstrate the validity of biological age as a useful index to predict a person’s risk of death in the future. METHODS: The data consists of 13,106 cases of death from 557,940 Koreans at 20–93 years old, surveyed from 1994 to 2011. Biological ages were computed using 15 biomarkers measured in general health check-ups using an algorithm based on principal component analysis. The influence of biological age on future mortality was analyzed using Cox proportional hazards regression considering gender, chronological age, and event type. RESULTS: In the living subjects, the average biological age was almost the same as the average chronological age. In the deceased, the biological age was larger than the chronological age: largest increment of biological age over chronological age was observed when their baseline chronological age was within 50–59 years. The death rate significantly increased as biological age became larger than chronological age (linear trend test, p value < 0.0001). The largest hazard ratio was observed in subjects whose baseline chronological age was within 50–59 years when the cause was death from non-cancerous diseases (HR = 1.30, 95% confidence intervals = 1.26 - 1.34). The survival probability, over the 17 year term of the study, was significantly decreased in the people whose biological age was larger than chronological age (log rank test, p value < 0.001). CONCLUSIONS: Biological age could be used to predict future risk of death, and its effect size varied according to gender, chronological age, and cause of death. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0407-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-05 /pmc/articles/PMC5217268/ /pubmed/28056846 http://dx.doi.org/10.1186/s12877-016-0407-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yoo, Jinho
Kim, Yangseok
Cho, Eo Rin
Jee, Sun Ha
Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title_full Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title_fullStr Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title_full_unstemmed Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title_short Biological age as a useful index to predict seventeen-year survival and mortality in Koreans
title_sort biological age as a useful index to predict seventeen-year survival and mortality in koreans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217268/
https://www.ncbi.nlm.nih.gov/pubmed/28056846
http://dx.doi.org/10.1186/s12877-016-0407-y
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