ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020
Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.
- Disability risk prediction models in community-dwelling older adults: a systematic review.BMC geriatrics · 2026Pooled it
- Trial
- A lipidomic based metabolic age score for monitoring the effects of lifestyle and diet on metabolic disease risk.Research square · 2026Article
- Association between biological aging and clinical mortality among patients with rheumatoid arthritis.Clinical rheumatology · 2026Article
- PhenoAge and PhenoAgeAccel do not outperform chronological age in predicting physical performance decline or mortality in community-dwelling older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Joint association of serum 25-hydroxyvitamin D concentration and body mass index on the acceleration of clinical biomarker-based biological aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- 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
- EAT-Lancet and plant-based diets, plasma metabolomic signatures, and biological aging.npj aging · 2025Article
- Racial and Social Inequities in Weathering: the ELSA-Brasil Cohort.Journal of racial and ethnic health disparities · 2025Article
- Combined association between phenotypic age acceleration and dietary fiber intake with mortality in middle-aged and elderly cancer survivors.Nutrition journal · 2025Article
- Association between blood-derived biological aging and bone mineral density among US adults.BMC musculoskeletal disorders · 2025Article
- No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Biological Age, Aging Clocks, and the Interplay with Lymphoid Neoplasms: Mechanisms and Clinical Frontiers.Lymphatics · 2025Article
- Increasing Educational Inequality in Biological Aging Among U.S. Adults Aged 50-79 From 1988-1994 to 2015-2018.Demography · 2025Article
- Observational
- Accelerated Biological Aging and Longitudinal Progression of Cardiometabolic Disease, Subsequent Dementia, and Death: A Multistate Analysis.European journal of neurology · 2025Article
- Associations between shift work and biological age acceleration: A population-based study.GeroScience · 2025Article
- Association of biological aging and the prevalence of nonalcoholic fatty liver disease: a population-based study.BMC gastroenterology · 2025Article
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Quantification of biological aging has been proposed for population surveillance of age-related decline in system integrity and evaluation of geroprotective therapies. However, methods of quantifying biological aging have been little studied in geriatric populations. We analyzed three clinical-biomarker-algorithm methods to quantify biological aging. Klemera-Doubal method Biological Age and homeostatic dysregulation algorithms were parameterized from analysis of U.S. National Health and Nutrition Examination Surveys (NHANES) data (N = 36,207) based on published methods. Levine method Biological Age was adapted from published analysis of NHANES data. Algorithms were applied to biomarker data from the Duke Established Populations for Epidemiologic Studies of the Elderly (Duke-EPESE) cohort of older adults (N = 1,374, aged 71-102 years, 35% male, 52% African American). We tested associations of biological aging measures with participant reported Activities of daily living (ADL), instrumental activities of daily living (IADL) dependencies, and mortality. We evaluated the sensitivity of results to the demographic composition of reference samples and biomarker sets used to develop biological aging algorithms. African American and white Duke-EPESE participants with more advanced biological aging reported dependence in more ADLs and IADLs and were at increased risk of death over follow-up through 2017. Effect sizes were similar across algorithms, but were strongest for Levine method Biological Age (per-quintile increase in ADL incidence rate ratio = 1.25, 95% confidence interval [1.17-1.37], IADL incidence rate ratio = 1.23 [1.15-1.32], mortality hazard ratio = 1.12 [1.08-1.16]). Results were insensitive to demographic composition of reference samples, but modestly sensitive to the biomarker sets used to develop biological aging algorithms. Blood-chemistry-based quantifications of biological aging show promise for evaluating the effectiveness of interventions to extend healthy life span in older adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.