Evidence map›Paper›PMID 41214810›Full record

ArticleClinical epigenetics2025

Impact of psychosocial stress in early life on pace of aging in young adulthood.

Shaoyong Su, Tené T Lewis, Daniel W Belsky, Yutao Liu, Kai Zhang, Harold Snieder, Xiaoling Wang

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shaoyong SuGeorgia Prevention Institute, Medical College of Georgia, Augusta University, 1120 15th Street, HS-1721, Augusta, GA, 30912, USA. ssu@augusta.edu.
Tené T LewisDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Daniel W BelskyDepartment of Epidemiology and Robert N Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA.
Yutao LiuDepartment of Cellular Biology & Anatomy, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Kai ZhangDepartment of Population and Community Health, College of Public Health, The University of North Texas Health Science Center at Fort Worth, Fort Worth, TX, USA.
Harold SniederDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Xiaoling WangGeorgia Prevention Institute, Medical College of Georgia, Augusta University, 1120 15th Street, HS-1721, Augusta, GA, 30912, USA.

Funding

Psychosocial stress, epigenetics and health disparity in hypertensionR01MD013307 · NIMHD · AUGUSTA UNIVERSITY · PI SU, SHAOYONG · 2019 to 2023
$3.0M
Pediatric Ambulatory Blood Pressure Trajectory and Brain Health in MidlifeR01HL143440 · NHLBI · AUGUSTA UNIVERSITY · PI MCDOWELL, JENNIFER E, SU, SHAOYONG · 2019 to 2022
$2.8M
Epigenetic Response to Early Life Stress and the Impact on Cardiovascular HealthR01HL125577 · NHLBI · AUGUSTA UNIVERSITY · PI SU, SHAOYONG · 2015 to 2018
$1.5M
Dutch Research Council and the Dutch Ministry of Education 024.005.010NHLBI NIH HHS R01 HL125577NHLBI NIH HHS R01 HL143440NIH HHS HL125577, HL143440, MD013307NIMHD NIH HHS R01 MD013307
6 · The paper itself

Abstract

backgroundEarly-life psychosocial stress is increasingly recognized as a contributor to accelerated biological aging and health disparities, yet its impact during young adulthood remains underexplored. Existing studies often focus on one or two dimensions of stress exposure and rely on retrospective assessments. Utilizing data from a longitudinal cohort initiated in 1989, we aim to examine the impact of early life psychosocial stress on accelerated aging in young adulthood, as well as its potential contribution to health disparities between Black and White Americans. Participants included 470 individuals (223 Black and 247 White Americans) with DNA samples collected at age > 20 years. Psychosocial stress exposures in the first 20 years of life were assessed prospectively using validated instruments across individual, family, and neighborhood domains. DunedinPACE, a novel biomarker of the pace of aging, was calculated from DNA methylation data generated from peripheral blood using the Illumina 450K array. The joint effect of early life psychosocial factors on DunedinPACE and the relative importance of each stressor were estimated using the Weighted Quantile Sum (WQS) approach. Mediation analysis was conducted to evaluate the contribution of early life stress to racial disparities in aging.

resultsCompared to White Americans, Black Americans reported higher overall levels of early life stress (mean = 1.52 vs. 1.38, adjusted p = 0.002) and exhibited a faster pace of aging in young adulthood (DunedinPACE score mean = 0.98 vs. 0.93, adjusted p < 0.001). WQS analysis revealed a positive joint effect of early life psychosocial stress on DunedinPACE (β = 0.25, 95% CI: 0.159-0.335), with the top four contributors being parental socioeconomic status, family emotional expression, peer pressure, and neighborhood safety conditions. Mediation analysis indicated that early-life stress accounted for 22% of the racial disparity in biological aging (p = .01).

conclusionOur findings suggest that exposure to disadvantaged psychosocial environments in early life is associated with accelerated biological aging in young adulthood. Racial differences in stress exposure partially explain disparities in aging, underscoring the importance of early interventions to reduce health disparities across the life course.

Indexed as

AgingStress, PsychologicalAdolescentAdultAdverse Childhood ExperiencesBlack or African AmericanDNA MethylationFemaleHealth Status DisparitiesHumansLongitudinal StudiesMaleProspective StudiesWhiteYoung AdultEarly life stressEpigeneticsHealth disparityLongitudinal cohortPace of agingWeighted quantile sum regression

Identifiers

PMID41214810
PMCPMC12604386

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LicenceCC BY-NC-ND
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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.