ArticleEuropean journal of epidemiology2019
Quantification of biological age as a determinant of age-related diseases in the Rotterdam Study: a structural equation modeling approach.
Article in European journal of epidemiology, 2019. 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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- Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort.GeroScience · 2026Article
- Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.European heart journal. Digital health · 2026Article
- Calorie Restriction Effects on Aging, Learning Performance, and Transcription in Aged Aplysia californica.Genes, brain, and behavior · 2026Article
- Biological age acceleration and interaction with genetic predisposition in the risk of type 2 diabetes and coronary artery disease.GeroScience · 2026Article
- Occupational polycyclic aromatic hydrocarbons (PAHs) exposure is associated with accelerated aging trajectories in Chinese coke oven workers.Scientific reports · 2026Article
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Synergistic and heterogeneous aging using composite phenotypes and multiple organ systems aging clocks.Communications medicine · 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
- Social determinants of health and biological age among diverse U.S. Adults, NHANES 2011-2018.BMC public health · 2025Article
- Vascular-related biological stress, DNA methylation, allostatic load and domain-specific cognition: an integrated machine learning and causal inference approach.BMC neurology · 2025Article
- Article
- Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.GeroScience · 2024Article
- Age-Based Heuristics Bias Treatment of Displaced Femoral Neck Fractures in the Elderly.Arthroplasty today · 2024Article
- Progress in the study of aging marker criteria in human populations.Frontiers in public health · 2024Review
- Measures of Aging Biology in Saliva and Blood as Novel Biomarkers for Stroke and Heart Disease in Older Adults.Neurology · 2023Article
- Beyond Chronological Age: A Multidimensional Approach to Survival Prediction in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- Immune cells are associated with mortality: the Health and Retirement Study.Frontiers in immunology · 2023Article
- Can We Slow Down Biological Age Progression? Study Protocol for the proBNPage Reduction (PBAR) Randomized, Double-Blind, Placebo-Controlled Trial (Effects of 4 "Anti-Aging" Food Supplements in Healthy Older Adults).Clinical interventions in aging · 2023Article
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11 authors.
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Abstract
Chronological age alone is not a sufficient measure of the true physiological state of the body. The aims of the present study were to: (1) quantify biological age based on a physiological biomarker composite model; (2) and evaluate its association with death and age-related disease onset in the setting of an elderly population. Using structural equation modeling we computed biological age for 1699 individuals recruited from the first and second waves of the Rotterdam study. The algorithm included nine physiological parameters (c-reactive protein, creatinine, albumin, total cholesterol, cytomegalovirus optical density, urea nitrogen, alkaline phosphatase, forced expiratory volume and systolic blood pressure). We assessed the association between biological age, all-cause mortality, all-cause morbidity and specific age-related diseases over a median follow-up of 11 years. Biological age, compared to chronological age or the traditional biomarkers of age-related diseases, showed a stronger association with all-cause mortality (HR 1.15 vs. 1.13 and 1.10), all-cause morbidity (HR 1.06 vs. 1.05 and 1.03), stroke (HR 1.17 vs. 1.08 and 1.04), cancer (HR 1.07 vs. 1.04 and 1.02) and diabetes mellitus (HR 1.12 vs. 1.01 and 0.98). Individuals who were biologically younger exhibited a healthier life-style as reflected in their lower BMI (P < 0.001) and lower incidence of stroke (P < 0.001), cancer (P < 0.01) and diabetes mellitus (P = 0.02). Collectively, our findings suggest that biological age based on the biomarker composite model of nine physiological parameters is a useful construct to assess individuals 65 years and older at increased risk for specific age-related diseases.
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