Evidence map›Paper›PMID 41037219›Full record

ArticleGeroScience2026

Association of accelerated phenotypic aging, lifestyle and genetic risk with progression of cardiometabolic multimorbidity: a multi-state model analysis.

Yunxin Shi, Hongxian Wu, Lulu Pan, Yahang Liu, Chen Huang, Yongfu Yu, Guoyou Qin, Leqi He

Erratum issuedAbstract read
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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. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yunxin ShiDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China.
Hongxian WuDepartment of Cardiology, Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Lulu PanDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China.
Yahang LiuDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China.
Chen HuangDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China.
Yongfu YuDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China.
Guoyou QinShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China. gyqin@fudan.edu.cn.
Leqi HeDepartment of Clinical Laboratory Medicine, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 200240, China. leqi_he@fudan.edu.cn.

Funding

National Natural Science Foundation of China 81800380National Natural Science Foundation of China 82173612Shanghai Municipal Science and Technology Major Project ZD2021CY001State Key Clinical Specialty Construction Project YW2021-002the Specialized Department Foundation of Minhang District 2025MWTZB01Zhongshang Hospital Science Foundation 2018ZSQN03
6 · The paper itself

Abstract

We aimed to use multi-state models to assess joint impacts of lifestyle and genetic risk with phenotypic age acceleration on cardiometabolic multimorbidity (CMM) trajectory, and to further explore whether phenotypic age acceleration mediates association between lifestyle and each transitions. We conducted a prospective cohort study included 365,573 adults free of cardiometabolic diseases (CMDs) at baseline in UK Biobank. Multi-state model was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of joint impacts of lifestyle and genetic risk with PhenoAgeAccel on CMM progression. Mediation analyses were conducted to explore indirect effect of PhenoAgeAccel on association between lifestyle and all transitions. During a median follow-up of 13.68 years, 54,483 participants developed first cardiometabolic diseases (FCMD), 7,397 developed CMM, and 27,288 died from any causes. Participants with accelerated phenotypic aging and unfavorable lifestyles had higher risks of all transitions, with HRs ranging from 1.53 (95% CI 1.37, 1.71) to 2.80 (2.62, 3.00). Additionally, those with accelerated phenotypic aging and high genetic risk showed a higher risk of FCMD incidence (HR 1.46; 95% CI 1.32, 1.61) and transition from FCMD to CMM (2.09; 2.02, 2.17). Furthermore, phenotypic age acceleration partially mediated the impact of lifestyle on all transitions, with mediation proportion varying from 6.28% (3.46, 9.10%) to 9.92% (6.37, 13.46%). Participants with phenotypic age acceleration have increased risk of CMM progression, especially among those with unfavorable lifestyles and high genetic risk. Phenotypic age acceleration partially mediated the relationship between lifestyle and CMM progression.

Indexed as

AgingCardiovascular DiseasesLife StyleMultimorbidityAgedCardiometabolic Risk FactorsDisease ProgressionFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypeProspective StudiesRisk FactorsUK BiobankCardiometabolic multimorbidityGenetic riskLifestyleMediation analysisPhenotypic age acceleration

Identifiers

PMID41037219
PMCPMC13356138

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.