Evidence map›Paper›PMID 41063184›Full record

ArticleBMC medicine2025

Differential contributions of cardiovascular health-related lifestyle factors to epigenetic ageing: implications for healthy longevity.

Da-Eun Lee, Yi Seul Park, Hye-Mi Jang, Bong-Jo Kim, Young Jin Kim, Sung-Il Cho, Kyeezu Kim

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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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

7 authors.

Da-Eun LeeDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.
Yi Seul ParkDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Hye-Mi JangDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.
Bong-Jo KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Young Jin KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea. inthistime@korea.kr.
Sung-Il ChoDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea. scho@snu.ac.kr.
Kyeezu KimDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea. kyeezu.kim@skku.edu.

Funding

National Institute of Health, Republic of Korea 2024-NI-005-00National Research Foundation of Korea RS-2024-00333941
6 · The paper itself

Abstract

backgroundLifestyle and cardiovascular health (CVH) are key determinants of the biological ageing process, which is closely linked to healthy ageing and longevity. Multiple CVH factors may interact and exert combined effects on the biological ageing process; however, studies exploring their collective association, particularly in Asian cohorts, remain limited. In this cross-sectional study, we investigated the relative contributions of CVH-related behaviours (diet, sleep, avoidance of nicotine, and physical activity) and clinical indicators (BMI, blood lipids, blood glucose, and blood pressure) to epigenetic age acceleration (EAA), as well as their collective associations.

methodsWe included 1940 participants from two large-scale prospective cohorts within the Korean Genome and Epidemiology Study. We assessed CVH based on the American Heart Association's Life's Essential 8 and measured five EAA (intrinsic EAA (Horvath DNAmAge acceleration), extrinsic EAA (Hannum DNAmAge acceleration), PhenoAge acceleration, GrimAge2 acceleration, and Dunedin Pace of Ageing Calculated from the Epigenome (DunedinPACE)). We employed quantile-based g-computation to delineate the sex-specific relative contributions of CVH to EAA.

resultsBetter CVH was associated with lower EAA (ψ, the estimates of collective associations, ranged from - 4.29 to - 0.79, depending on the EAA measure). The CVH components contributing most to lower EAA varied by sex. In males, nicotine avoidance and better glucose contributed most to lower EAA, accounting for 91% and 77% of the overall associations of CVH with lower Grim2AA and DunedinPACE, respectively, whereas better blood glucose accounted for 86% and 94%. In females, physical activity and better glucose or BMI were the greatest contributors to lower EAA. Physical activity accounted for 44% of the CVH-Grim2AA association. Better glucose explained 54% and 50% of the association with Grim2AA and DunedinPACE, respectively. Better BMI contributed 46% to lower PhenoAA.

conclusionsSimultaneous improvements in multiple CVH components were associated with lower EAA, with sex-specific differences in the most influential factors. Tailored health strategies-emphasizing smoking cessation and glucose control for males, and physical activity, glucose control, and weight management for females-may help slow ageing. These findings highlight the need for public and clinical interventions that incorporate sex differences in health behaviours and the potential biological mechanisms of ageing.

Indexed as

AgingCardiovascular DiseasesEpigenesis, GeneticHealthy AgingLife StyleLongevityAgedCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedProspective StudiesRepublic of KoreaCardiovascular risk factorsDNA methylationEpigenetic ageHealth behaviourHealthy ageingHealthy lifestyle

Identifiers

PMID41063184
PMCPMC12506275

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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.