Evidence map›Paper›PMID 40385415›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Social determinants of health and epigenetic clocks: Meta-analysis of 140 studies.

Y E Willems, A D Rezaki, M Aikins, A Bahl, Q Wu, D W Belsky, L Raffington

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Y E WillemsMax Planck Research Group Biosocial - Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0002-5747-0164
A D RezakiMax Planck Research Group Biosocial - Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany.
M AikinsMax Planck Research Group Biosocial - Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany.ORCID 0009-0007-9831-6255
A BahlRobert N Butler Columbia Aging Center and Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA.
Q WuMax Planck Research Group Biosocial - Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany.
D W BelskyRobert N Butler Columbia Aging Center and Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA.ORCID 0000-0001-5463-2212
L RaffingtonMax Planck Research Group Biosocial - Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0002-0144-5605

Funding

The MyGoals for Healthy Aging Multi-Center Randomized Controlled TrialR01AG073402 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Daniel Walker Belsky · 2022 to 2026
$3.6M
Epigenetic Pathways of Socioeconomic Disparities in Physical and Cognitive Health Across the LifespanR01HD114724 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Kathryn Paige Harden, Laurel Raffington · 2024 to 2026
$1.7M
NIA NIH HHS R01 AG073402NICHD NIH HHS R01 HD114724
6 · The paper itself

Abstract

Social determinants of health are social factors that affect health and survival. Two of the most powerful social determinants are socioeconomic status (SES) and race/ethnicity; people with lower SES or marginalized race/ethnicity tend to experience earlier onset of aging-related diseases and have shorter lifespans. DNA methylation (DNAm) measures of biological aging, often referred to as "epigenetic clocks", are increasingly used to study the social determination of health. However, there are several generations of epigenetic clocks and it remains unclear which are most sensitive to social factors affecting health. Moreover, there is uncertainty about how technical factors, such as the tissue from which DNA is derived or the technology used to measure DNA methylation may affect associations of social determinants with epigenetic clocks. We conducted a pre-registered multi-level meta-analysis of 140 studies, including N = 65,919 participants, encompassing 1,065 effect sizes for associations of SES and racial/ethnic identity with three generations of epigenetic clocks. We found that associations were weakest for the first generation of epigenetic clocks developed to predict age differences between people. Associations were stronger for the second generation of epigenetic clocks developed to predict mortality and health risks. The strongest associations were observed for a third generation of epigenetic clocks, sometimes referred to as "epigenetic speedometers", developed to predict the pace of aging. In studies of children, only the speedometers showed significant associations with SES. Effects of sex and technical factors were minimal and there was no evidence of publication bias.

Indexed as

Biological agingDNA methylationEpigeneticMeta-analysisSocial determinants of health

Identifiers

PMID40385415
PMCPMC12083562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.