ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2013
Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 498 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
498 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Trial
- Biological age acceleration and cardiovascular-kidney-metabolic syndrome progression: evidence from UK Biobank and NHANES.Renal failure · 2026Article
- How education gets under the skin: Pathways linking educational advantage to slower biological aging.Social science & medicine (1982) · 2026Article
- Plasma proteomic signatures of biological aging and metabolic dysfunction-associated steatotic liver disease risk: a prospective cohort study.Hepatology international · 2026Article
- Associations of Green Space and Air Pollution Mixture with Heterogeneous Biological Aging Patterns.Environmental health perspectives · 2026Article
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Physiological Age and Homeostatic Dysregulation Following Child Maltreatment in Youth.Molecular psychiatry · 2026Article
- Unequal embodiment: racial and ethnic heterogeneity in the predictors and age-related health outcomes associated with accelerated biological aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Accelerated biological aging, genetic susceptibility, and the risk of peripheral arterial disease: Evidence from the UK Biobank cohort study.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population-Based Study and Gut Microbiota Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Clinical Protocol for the Dietary Approaches to Longevity and Health (DiAL Health) Pilot Trial.Current developments in nutrition · 2026Article
- Dynamic reversibility of biological aging and risk of cardiovascular disease and stroke: a longitudinal cohort study.The EPMA journal · 2026Article
- Longitudinal digital phenotyping of activity rhythms and biological aging using commercial wearables.Nature communications · 2026Article
- Urinary metabolic age from high-resolution nuclear magnetic resonance spectroscopy reveals longitudinal aging patterns.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Association between adverse childhood experiences and accelerated aging of middle-aged and older Chinese: based on the China health and retirement longitudinal study.BMC public health · 2026Observational
- Associations between biological age acceleration and hospitalization burden of community-acquired pneumonia: a cohort study.GeroScience · 2026Article
- Deep Learning-Derived Retinal Age Detects Cognitive Impairment.Ophthalmology science · 2026Article
- Construction and Validation of Plasma Protein-Based Musculoskeletal Biological Age and Genetic and Environmental Risk Profiles.Aging cell · 2026Article
- Accelerated biological aging and the risk of incident liver cancer: a prospective cohort study of the UK biobank.BMC gastroenterology · 2026Article
438 more citing papers are in PubMed but not listed here.
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Abstract
Biological age (BA) is useful for examining differences in aging rates. Nevertheless, little consensus exists regarding optimal methods for calculating BA. The aim of this study is to compare the predictive ability of five BA algorithms. The sample included 9,389 persons, aged 30-75 years, from National Health and Nutrition Examination Survey III. During the 18-year follow-up, 1,843 deaths were counted. Each BA algorithm was compared with chronological age on the basis of predictive sensitivity and strength of association with mortality. Results found that the Klemera and Doubal method was the most reliable predictor of mortality and performed significantly better than chronological age. Furthermore, when included with chronological age in a model, Klemera and Doubal method had more robust predictive ability and caused chronological age to no longer be significantly associated with mortality. Given the potential of BA to highlight heterogeneity, the Klemera and Doubal method algorithm may be useful for studying a number of questions regarding the biology of aging.
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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.