Estimating Biological Age in the Singapore Longitudinal Aging Study.
Background: Biological age (BA) is a more accurate measure of the rate of human aging than chronological age (CA). However, there is limited consensus regarding measures of BA in life span and healthspan.Methods: This study investigated measurement sets of 68 physiological biomarkers using data from...
| Published in: | Journals of Gerontology Series A: Biological Sciences & Medical Sciences Vol. 75; no. 10; pp. 1913 - 1921 |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Oxford University Press / USA
Oct2020
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146103059&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146103059 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10795006 JGA jtl: Journals of Gerontology Series A: Biological Sciences & Medical Sciences issn: 10795006 maglogo: N pubinfo: dt: Oct2020 vid: 75 iid: 10 pid: 622 pub: Oxford University Press / USA artinfo: ui: 146103059 146103059 NLM31179487 146103059 10.1093/gerona/glz146 NLM31179487 146103059 ppf: 1913 ppct: 8 formats: tig: atl: Estimating Biological Age in the Singapore Longitudinal Aging Study. aug: au: Zhong, Xin Lu, Yanxia Gao, Qi Nyunt, Ma Shwe Zin Fulop, Tamas Monterola, Christopher Pineda Tong, Joo Chuan Larbi, Anis Ng, Tze Pin affil: Social & Cognitive Computing Department, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR) , Fusionopolis, Singapore sug: subj: Aging Physiology Risk Factors Aged, 80 and Over Forced Expiratory Volume Longevity Mortality Trends Glomerular Filtration Rate Female Middle Age Predictive Value of Tests Prospective Studies Aged Algorithms Male Singapore Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged, 80 & over Middle Aged: 45-64 years Aged: 65+ years Female Male ab: Background: Biological age (BA) is a more accurate measure of the rate of human aging than chronological age (CA). However, there is limited consensus regarding measures of BA in life span and healthspan.Methods: This study investigated measurement sets of 68 physiological biomarkers using data from 2,844 Chinese Singaporeans in two age subgroups (55-70 and 71-94 years) in the Singapore Longitudinal Aging Study (SLAS-2) with 8-year follow-up frailty and mortality data. We computed BA estimate using three commonly used algorithms: Principal Component Analysis (PCA), Multiple Linear Regression (MLR), and Klemera and Doubal (KD) method, and additionally, explored the use of machine learning methods for prediction of mortality and frailty. The most optimal algorithmic estimate of BA compared to CA was evaluated for their associations with risk factors and health outcome.Results: Stepwise selection procedures resulted in the final selection of 8 biomarkers in males and 10 biomarkers in females. The highest-ranking biomarkers were estimated glomerular filtration rate for both genders, and the forced expiratory volume in 1 second in males and females. The BA estimates robustly predicted frailty and mortality and outperformed CA. The best performing KD measure of BA was notably predictive in the younger group (aged 55-70 years). BA estimates obtained using a machine learning train-test method were not more accurate than conventional BA estimates in predicting mortality and frailty in most situations. Biologically older people with the same CA as biologically younger individuals had higher prevalence of frailty and 8-year mortality, and worse health, behavioral, and functional characteristics.Conclusions: BA is better than CA for measuring life span (mortality) and healthspan (frailty). This measurement set of physiological markers of biological aging among Chinese robustly differentiate biologically old from younger individuals with the same CA. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|