Evidence map›Paper›PMID 40505553›Full record

ArticleThe journal of nutrition, health & aging2025

Epigenetic clocks as mediators of health behaviors and mortality in middle-aged and older adults.

Xing-Ling Chen, Qiang-Qiang Zhao, Sheng-Rong Lin, Xing-Ling He, Xiao-Jiao Zhang, Si-Jing Li, Zi-Ru Li, Jia-Hui Chen, Hua Zhang, Xiao-Fang Li and 6 more

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Article in The journal of nutrition, health & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 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

16 authors.

Xing-Ling ChenThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Qiang-Qiang ZhaoThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Sheng-Rong LinThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Xing-Ling HeThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Xiao-Jiao ZhangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Si-Jing LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Zi-Ru LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Jia-Hui ChenThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Hua ZhangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Xiao-Fang LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Yue-Hui ZhouThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Hui-Li LiaoThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China.
Shu-Ning SunThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China. Electronic address: 28191109201@stu.gzucm.edu.cn.
Zhong-Qi YangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China. Electronic address: yang_zhongqi@163.com.
Shi-Hao NiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China. Electronic address: Shihao_Ni@163.com.
Lu LuThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Guangdong Clinical Research Institute of Chinese Medicine, Guangzhou 510407, China. Electronic address: coinland@gzucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of healthy lifestyles on epigenetic age acceleration (EAA) and mortality in middle-aged/ senior populations remains unclear. This study investigates associations between lifestyle factors, EAA biomarkers, and mortality risk.

methodThe 2532 adults of 50 years or older that registered in NHANES between 1999-2002.This study evaluated compares first- to third-generation epigenetic clocks (HannumAge, HorvathAge, PhenoAge, GrimAge2, DunedinPoAm) in predicting mortality risk associations between five lifestyle domains (diet, abdominal adiposity, physical activity, smoking, alcohol) and EAA were analyzed via multivariable regression, with mediation models testing EAA's role in lifestyle-mortality relationships.

resultsSurvival curves results identified DunedinPoAm, GrimAge2AA, and PhenoAgeAA as robust biomarkers of accelerated biological aging, independent of chronological age. In multivariable linear regression models, full adherence to healthy behaviors reduced GrimAge2AA by β = -5.55 years, PhenoAgeAA by β = -2.64 years, and DunedinPoAm by β = -0.06 SD, with smoking cessation demonstrating the strongest GrimAge2AA attenuation (10.17 years). Stratified analyses revealed pronounced benefits: cancer patients adhering to healthy diets (β = -0.04 SD, P for interaction = 0.01) and hypertensive individuals reducing smoking (β = -0.05 SD, P for interaction = 0.04) showed significant EAA mitigation. The sensitivity analysis is consistent with the original results. Mediation analyses indicated GrimAge2AA accounted for 63.58% of lifestyle-survival associations, DunedinPoAm (44.63%) and PhenoAgeAA (28.45%).

conclusionsThese findings suggest that comprehensive adherence to healthy lifestyle behaviors is associated with reduced epigenetic aging, supporting their potential utility as targets for mortality risk mitigation. And emphasize the utility of epigenetic clocks in precision gerontology.

Indexed as

AgingEpigenesis, GeneticHealth BehaviorMortalityAgedBiomarkersDietExerciseFemaleHealthy LifestyleHumansLife StyleMaleMiddle AgedNutrition SurveysSmokingBiomarkersBiological agingDrinkingEpigenetic age accelerationHealthy dietSmoking

Identifiers

PMID40505553
PMCPMC12276600

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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.