Evidence map›Paper›PMID 40644330›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Impact of socioeconomic conditions across the life course on epigenetic age acceleration: evidence from a longitudinal cohort.

Leah Moubadder, Junyu Chen, Elizabeth S Clausing, Katrina L Kezios, Karen N Conneely, Pam Factor-Litvak, Diddier Prada, Andrea Baccarelli, Rachel C Shelton, Bruce G Link and 1 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. 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

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

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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

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Leah MoubadderDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.ORCID 0000-0003-1048-8233
Junyu ChenDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.ORCID 0000-0001-9659-0225
Elizabeth S ClausingDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.
Katrina L KeziosDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States.ORCID 0000-0001-7115-032X
Karen N ConneelyDepartment of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia, United States.
Pam Factor-LitvakDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States.
Diddier PradaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States.
Andrea BaccarelliDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States.
Rachel C SheltonDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States.
Bruce G LinkDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States.
Shakira F SugliaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.ORCID 0000-0002-5634-9290

Funding

Stress, Epigenetics and AgingR01AG058704 · NIA · EMORY UNIVERSITY · PI SHELTON, RACHEL C, SUGLIA, SHAKIRA FRANCO · 2018 to 2022
$3.4M
National Institute of Aging R01AG058704, PI SugliaNIA NIH HHS R01 AG058704
6 · The paper itself

Abstract

backgroundWe investigated whether adulthood socioeconomic status (SES) mediates the association between childhood SES and biological aging in a longitudinal cohort (N = 359).

methodsSES was measured using composite scores from prospective measures in childhood and at age 50. Peripheral blood DNA methylation (DNAm) was measured at approximately 50 years of age. DNAm age acceleration (AA) was quantified for DNAm "clocks" (Horvath, Hannum, PhenoAge, GrimAge) and a DNAm pace-of-aging measure (DunedinPACE). Linear regression was used to evaluate the associations between SES at each life stage and DNAm AA. Adulthood SES was evaluated as a mediator between childhood SES and DNAm AA using marginal structural models.

resultsCompared to high childhood SES, low childhood SES was associated with AA for GrimAge (β = 0.99, 95% confidence interval [CI]: 0.08, 1.91) and DunedinPACE (β = 0.05, 95% CI: 0.02, 0.08). Low adulthood SES, compared to high adulthood SES, was also associated with AA for GrimAge (β = 2.31, 95% CI: 1.35, 3.28) and DunedinPACE (β = 0.05, 95% CI: 0.02, 0.08). The association between childhood SES and both clocks were partially mediated by adulthood SES. No other clocks were associated with SES.

conclusionEarly and late-life socioeconomic conditions accelerate biological aging. Larger studies exploring mediators and interventions are needed for equitable aging mitigation.

Indexed as

AgingDNA MethylationEpigenesis, GeneticSocial ClassAdultChildFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSocioeconomic Factorsagingepigeneticshealth disparities

Identifiers

PMID40644330
PMCPMC13376663

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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.