Evidence map›Paper›PMID 41351716›Full record

ArticleGeroScience2026

A novel clinical biomarker-based Physiology Healthy Aging Index and risk of all-cause and cause-specific mortality: A 20-year prospective cohort study.

Jieun Lyu, Ji-Yun Hwang, Joong-Yeon Lim, Yoon Jung Park

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jieun LyuDivision of Population Health Research, Department of Precision Medicine, National Institute of Health, Cheongju, 28159, Republic of Korea.ORCID http://orcid.org/0009-0006-1670-6122
Ji-Yun HwangMajor of Foodservice Management and Nutrition, Sangmyung University, Seoul, 03016, Republic of Korea.
Joong-Yeon LimDivision of Population Health Research, Department of Precision Medicine, National Institute of Health, Cheongju, 28159, Republic of Korea.
Yoon Jung ParkDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, 03760, Republic of Korea. park.yoonjung@ewha.ac.kr.ORCID http://orcid.org/0000-0001-6999-4996

Funding

National Institute of Health 6635-602-260-01
6 · The paper itself

Abstract

Population aging is accelerating worldwide, with 16% projected to be aged ≥ 65 years by 2050. A practical index reflecting overall aging status is needed for population-based research, as existing indices often require specialised or cognitive assessments. We developed a Physiological Healthy Aging Index (PHAI) using accessible biomarkers and evaluated its association with mortality in Korean adults. A total of 6398 participants aged ≥ 40 years from the Korean Genome and Epidemiology Study (KoGES) Ansan-Ansung cohort followed up for an average duration of 16.5 years (2001-2022). The PHAI, based on systolic blood pressure, fasting blood glucose, serum creatinine, forced vital capacity, and C-reactive protein levels, was scored 0-10, with higher scores indicating healthier aging. Mortality risks across quartiles were estimated using Cox proportional hazard models. Long-term changes were classified as accelerated (decreased scores), stable (unchanged scores), or resilient (increased scores). During 105,597 person-years, 934 deaths occurred (778 age-related, 353 cancer-related, and 184 cardiovascular-related). Higher PHAI quartiles were linked with significantly lower mortality risk versus Q1. Fully adjusted hazard ratios (95% CIs) for all-cause mortality were 0.82 (0.69-0.98) for Q2, 0.50 (0.42-0.60) for Q3, and 0.51 (0.41-0.63) for Q4 (P for trend < 0.001). Similar associations were observed for age-related mortality (HR 0.51, 95% CI 0.40-0.64 for Q4 vs. Q1), cancer (HR 0.66, 95% CI 0.48-0.92), and cardiovascular mortality (HR 0.24, 95% CI 0.13-0.44). Resilient agers had much lower all-cause mortality than accelerated agers (HR 0.21, 95% CI 0.16-0.28), with stable agers also at reduced risk (HR 0.65, 95% CI 0.54-0.77). Higher scores also correlated with a lower cognitive impairment risk. The PHAI is a simple, robust predictor of mortality outcomes, supporting its use as a practical tool for assessing physiological aging in public health and clinical settings.

Indexed as

Healthy AgingMortalityAdultAgedBiomarkersCardiovascular DiseasesCause of DeathC-Reactive ProteinFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRepublic of KoreaRisk FactorsBiomarkersC-Reactive ProteinAgingBiomarkersCohort studyKorean populationMortalityPhysiological Healthy Aging Index

Identifiers

PMID41351716
PMCPMC13601385

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Registered trials

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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.