ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021
A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
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- Deep learning-derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort.GeroScience · 2026Article
- Buffering of gene dosage response curves for human complex traits.Cell genomics · 2026Article
- Association between residential physical environmental exposures and multidimensional successful ageing in the UK biobank.BMC public health · 2026Article
- The Relationship between Biological Aging and Cognitive Function: A Machine Learning Model.Yonsei medical journal · 2026Article
- HealthAge: evaluation of intrinsic capacity changes in humans, mice, and killifish to explore the biology of aging.GeroScience · 2026Review
- Ten tips on how to prevent falls in dialysis patients.Clinical kidney journal · 2026Review
- Utility of biological aging markers for mortality risk stratification in community-dwelling older adults: insights from the Mr. OS and Ms. OS (Hong Kong) cohort.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Associations of accelerated biological ageing with incident dementia, cognitive functions and brain structure: a prospective cohort study based on UK Biobank.Stroke and vascular neurology · 2026Article
- Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.Communications medicine · 2026Article
- Association of changes in grip strength with risk of incident cardiovascular disease in middle aged and older adults from the UK biobank.BMC public health · 2026Article
- Predictive Biomarkers for Asymptomatic Adults: Opportunities, Risks, and Guidance for General Practice.Diagnostics (Basel, Switzerland) · 2026Review
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- Social determinants of health, accelerated biological aging, and long-term health outcomes.Nature communications · 2025Article
- Biological aging, left ventricular dysfunction and mortality in patients with heart failure with preserved ejection fraction.npj aging · 2025Article
- Proteomic landscape of multidimensional aging phenotypes.Genome medicine · 2025Article
- Menopausal status, transition, and age at menopause with accelerated biological aging across multiple organ systems: findings from two cohort studies.BMC medicine · 2025Article
- Association of clinical biomarker-based biological age and aging trajectory with cardiovascular disease and all-cause mortality in Chinese adults: a population-based cohort study.BMC public health · 2025Article
- Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.GeroScience · 2024Article
- Challenges and recommendations for the translation of biomarkers of aging.Nature aging · 2024Review
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Authors and funding
8 authors.
Funding
Abstract
backgroundChronological 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.
methodsA subpopulation of 141 254 individuals healthy at baseline were studied, from among 480 019 UK Biobank participants aged 40-70 recruited in 2006-2010, and followed up for 6-12 years via linked death and secondary care records. Principal components of 72 biomarkers measured at baseline were characterized and used to construct sex-specific composite biomarker ages using the Klemera Doubal method, which derived a weighted sum of biomarker principal components based on their linear associations with chronological age. Biomarker importance in the biomarker ages was assessed by the proportion of the variation in the biomarker ages that each explained. The proportions of the overall biomarker and chronological age effects on mortality and age-related hospital admissions explained by the biomarker ages were compared using likelihoods in Cox proportional hazard models.
resultsReduced lung function, kidney function, reaction time, insulin-like growth factor 1, hand grip strength, and higher blood pressure were key contributors to the derived biomarker age in both men and women. The biomarker ages accounted for >65% and >84% of the apparent effect of age on mortality and hospital admissions for the healthy and whole populations, respectively, and significantly improved prediction of mortality (p < .001) and hospital admissions (p < 1 × 10-10) over chronological age alone.
conclusionsThis study suggests that a broader, multisystem approach to research and prevention of diseases of aging warrants consideration.
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