Evidence map›Paper›PMID 41880687›Full record

ArticleThe journal of nutrition, health & aging2026

Accelerated biological aging, genetic susceptibility, and lifestyle in relation to abdominal aortic aneurysm: A prospective study.

Xinyi Liu, Yongliang Zhong, Suwei Chen, Chengnan Li, Yipeng Ge, Haiou Hu, Junming Zhu

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Article in The journal of nutrition, health & aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinyi LiuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Yongliang ZhongDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Suwei ChenDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Chengnan LiDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Yipeng GeDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Haiou HuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China.
Junming ZhuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital of Capital Medical University, Beijing 100029, China. Electronic address: anzhenzjm@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the associations of biological age (BA) acceleration and genetic risk with the incidence of abdominal aortic aneurysm (AAA), and to evaluate the extent to which BA acceleration mediates the impact of a healthy lifestyle on AAA risk.

designA large prospective cohort study. SETTING AND

participantsThis study included 279,944 participants from the UK Biobank.

methodsTwo validated measures of BA, Klemera-Doubal Method Biological Age (KDM-BA) and PhenoAge, were estimated using clinical biomarkers. BA acceleration was calculated as the residual from regressing BA on chronological age. A polygenic risk score (PRS) was constructed based on AAA-associated genetic variants, and a healthy lifestyle score was derived from key behavioral factors. Cox proportional hazards models were used to assess the independent and joint associations of BA acceleration, PRS, and lifestyle score with AAA risk. Interaction and mediation analyses were also conducted.

resultsAmong the 279,944 participants, 1305 developed AAA over a mean follow-up of 15.5 years. Acceleration in both KDM-BA (HR, 1.89; 95% CI, 1.49-2.41) and PhenoAge (HR, 2.65; 95% CI, 2.21-3.17) was significantly positively associated with an increased risk of AAA. Significant interaction and joint effects were observed between genetic risk and BA acceleration. Compared with individuals with low genetic risk and low BA acceleration, those with both high PRS and high BA acceleration, particularly PhenoAge acceleration, had the highest risk of AAA (HR, 7.14; 95% CI, 5.64-8.46). Furthermore, a higher healthy lifestyle score was inversely associated with AAA risk, with approximately 7% of this association mediated through reduced BA acceleration.

conclusionsBoth BA acceleration and genetic predisposition were significant risk factors for AAA, highlighting their potential utility in guiding precision prevention strategies and targeted interventions.

Indexed as

AgingAortic Aneurysm, AbdominalGenetic Predisposition to DiseaseHealthy LifestyleLife StyleAgedFemaleGenetic Risk ScoreHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankAbdominal aortic aneurysmAccelerated biological agingHealthy lifestylePolygenetic risk scoreUK Biobank

Identifiers

PMID41880687
PMCPMC13053698

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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.