A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions | Zendy

Mei Sum Chan | Zendy; Matthew Arnold | Zendy; Alison Offer | Zendy; Imen Hammami | Zendy; Marion Mafham | Zendy; Jane Armitage | Zendy; Rafael Perera | Zendy; Sarah Parish | Zendy

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A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions

Author(s) -

Mei Sum Chan,

Matthew Arnold,

Alison Offer,

Imen Hammami,

Marion Mafham,

Jane Armitage,

Rafael Perera,

Sarah Parish

Publication year - 2021

Publication title -

the journals of gerontology series a

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.134

H-Index - 189

eISSN - 1758-535X

pISSN - 1079-5006

DOI - 10.1093/gerona/glab069

Subject(s) - biomarker , biobank , medicine , hazard ratio , proportional hazards model , disease , demography , oncology , gerontology , bioinformatics , biology , confidence interval , genetics , sociology

Chronological age is the strongest risk factor for most chronic diseases. Developing a biomarker-based age and understanding its most important contributing biomarkers may shed light on the effects of age on later-life health and inform opportunities for disease prevention.

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