ArticleJournal of personalized medicine2022
Individualized Biological Age as a Predictor of Disease: Korean Genome and Epidemiology Study (KoGES) Cohort.
Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed, 18 citations in OpenAlex.
- The age paradox in post-infectious sequelae: physiological reserve outweighs chronological age in Long COVID susceptibility.medRxiv : the preprint server for health sciences · 2026Article
- AI-Based Hematological Age Predictors and the Association Between Biological Age Acceleration and Type 2 Diabetes Mellitus - Chongqing Municipality, China, 2015-2021.China CDC weekly · 2024Article
- Readmission and adverse outcomes after percutaneous coronary intervention in patients with dementia.Journal of the American Geriatrics Society · 2023Article
- Article
- Readmission and In-Hospital Outcomes After Transcatheter Aortic Valve Replacement in Patients With Dementia.Cardiovascular revascularization medicine : including molecular interventions · 2023Article
- Use of Personal Resources May Influence the Rate of Biological Aging Depending on Individual Typology.European journal of investigation in health, psychology and education · 2022Article
- In-hospital outcomes and readmission in older adults treated with percutaneous coronary intervention for stable ischemic heart disease.Journal of geriatric cardiology : JGC · 2022Article
- National trend of heart failure and other cardiovascular diseases in people living with human immunodeficiency virus.World journal of cardiology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Chronological age (CA) predicts health status but its impact on health varies with anthropometry, socioeconomic status (SES), and lifestyle behaviors. Biological age (BA) is, therefore, considered a more precise predictor of health status. We aimed to develop a BA prediction model from self-assessed risk factors and validate it as an indicator for predicting the risk of chronic disease. A total of 101,980 healthy participants from the Korean Genome and Epidemiology Study were included in this study. BA was computed based on body measurements, SES, lifestyle behaviors, and presence of comorbidities using elastic net regression analysis. The effects of BA on diabetes mellitus (DM), hypertension (HT), combination of DM and HT, and chronic kidney disease were analyzed using Cox proportional hazards regression. A younger BA was associated with a lower risk of DM (HR = 0.63, 95% CI: 0.55-0.72), hypertension (HR = 0.74, 95% CI: 0.68-0.81), and combination of DM and HT (HR = 0.65, 95% CI: 0.47-0.91). The largest risk of disease was seen in those with a BA higher than their CA. A consistent association was also observed within the 5-year follow-up. BA, therefore, is an effective tool for detecting high-risk groups and preventing further risk of chronic diseases through individual and population-level interventions.
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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 Socratic graph.