Evidence map›Paper›PMID 39632479›Full record

ArticleAging cell2025

Accelerated biological aging, healthy behaviors, and genetic susceptibility with incidence of stroke and its subtypes: A prospective cohort study.

Xuening Zhang, Hao Zhao, Zilin Li, Xinjie Liu, Yurong Zhang, Ning Yang, Tongchao Zhang, Xiaorong Yang, Ming Lu

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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

9 authors.

Xuening ZhangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID 0000-0002-9987-030X
Hao ZhaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Zilin LiClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xinjie LiuClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Yurong ZhangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ning YangDepartment of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China.
Tongchao ZhangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID 0000-0001-5491-3882
Xiaorong YangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID 0000-0001-9866-3029
Ming LuClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID 0000-0002-8685-6322

Funding

Excellent Youth Innovation Team of Shandong Provincial Higher Education Institutions 2022KJ012Shandong Provincial Natural Science Foundation ZR2022QH162Taishan Scholars Program of Shandong Province tsqn202312328Taishan Scholars Program of Shandong Province tstp20230654
6 · The paper itself

Abstract

Stroke risk increases with chronological age, but the relationship with biological age (BA) acceleration is poorly understood. We aimed to examine the association between BA acceleration and incident stroke and its subtypes, explore the modifying effects on genetic susceptibility, and assess how BA acceleration mediates the effect of behavior score. We studied 253,932 UK Biobank participants and computed two BA measures (Klemera-Doubal Method [KDM], Phenotypic Age [PhenoAge]), with BA acceleration calculated by regressing BA on chronological age. The polygenic risk score (PRS) was derived from 87 genetic loci. The behaviors score was based on diet, physical activity, tobacco/nicotine, sleep, and BMI. During a median follow-up of 13.6 years, 5460 strokes, 4337 ischemic stroke (IS), 951 intracerebral hemorrhage (ICH), and 553 subarachnoid hemorrhage (SAH) cases were documented. Adjusting for confounding factors, each standard deviation increase in BA acceleration was associated with higher stroke risk: for KDM-BA acceleration, stroke (HR = 1.28, 95% CI = 1.25-1.32), IS (1.32, 1.28-1.36), ICH (1.15, 1.08-1.23), and SAH (1.16, 1.07-1.27); for PhenoAge acceleration, stroke (1.22, 1.19-1.25), IS (1.26, 1.22-1.29), ICH (1.08, 1.02-1.16), and SAH (1.08, 1.00-1.18). Compared to participants with the lowest PRS and BA acceleration, those with the highest PRS and BA acceleration had the highest stroke risk (KDM-BA acceleration: 2.19, 1.85-2.59; PhenoAge acceleration: 2.03, 1.69-2.42). Additionally, there was an additive interaction between KDM-BA acceleration and PRS. The mediation proportion of BA acceleration in associations of behaviors score with incident stroke and its subtypes ranged from 15.84% to 33.08%. BA acceleration may raise stroke risk, especially in those with high genetic risk. Maintaining healthy behaviors may help mitigate this risk.

Indexed as

Genetic Predisposition to DiseaseHealth BehaviorStrokeAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk Factorsbiological age accelerationgenetic susceptibilityhealthy behaviorsprospective studystroke

Identifiers

PMID39632479
PMCPMC11984664

What OpenQuestion holds

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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.