Evidence map›Paper›PMID 42113514›Full record

Observational studyJAMA network open2026

Structural Disadvantage in Adolescence and Biological Aging in Early Midlife.

Taylor W Hargrove, Alena Sorensen D'Alessio, Sylvie Tuder, Ariayana Harrell, Lauren Gaydosh, Audrey L Kelly, Allison E Aiello, Kathleen Mullan Harris, Brandt Levitt, Chantel L Martin

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

10 authors.

Taylor W HargroveDepartment of Sociology, University of Maryland, College Park.
Alena Sorensen D'AlessioDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.
Sylvie TuderCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Ariayana HarrellCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Lauren GaydoshCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Audrey L KellyCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Allison E AielloDepartment of Epidemiology, Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York.
Kathleen Mullan HarrisCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Brandt LevittCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
Chantel L MartinDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.

Funding

The Add Health Epigenome Resource: Life course stressors and epigenomic modifications in adulthoodR01MD013349 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HARRIS, KATHLEEN MULLAN · 2018 to 2022
$3.5M
NIMHD NIH HHS R01 MD013349
6 · The paper itself

Abstract

Importance: Upstream social determinants, including structural disadvantages, are critical drivers of health and aging. While structural disadvantages shape biological aging and inflammatory processes among older adults, it is less clear how this association emerges and endures over the life course. Objective: To assess whether adolescent exposure to structural disadvantage is associated with epigenetic aging and inflammation-related DNA methylation (DNAm) in early midlife and to evaluate whether associations differ by race. Design, Setting, and Participants: This prospective cohort study used data from non-Hispanic Black and White respondents in the National Longitudinal Study of Adolescent to Adult Health (Add Health). Add Health comprises a nationally representative cohort of US adolescents in grades 7 to 12 in 1994 (wave I) followed for over 20 years across 6 waves of data. Venous blood samples were collected (2016-2018) and analyzed for DNAm (2021-2024) among Add Health respondents in early midlife (ages 33-43 years at blood collections). Data were analyzed from September 2024 to February 2026. Exposure: The main exposure was structural disadvantage in adolescence, assessed as 5 county-level economic, education, and segregation indicators from the 1990 decennial US Census. Main Outcomes and Measures: The main outcomes included 3 epigenetic clocks (PhenoAge, GrimAge2, and DunedinPACE) and 2 measures of inflammation-related DNAm (C-reactive protein [CRP] and tumor necrosis factor-α). Confirmatory factor analysis was used to derive a latent factor of structural disadvantage in adolescence, and multivariate regression models assessed the association between the structural disadvantage latent measure and each outcome. Results: Data from 3788 participants (mean [SD] age at wave V, 38.4 [0.01] years; 50.9% [SE, 1.1%] female and 49.1% [SE, 1.1%] male; and 19.7% [SE, 0.9%] Black and 80.3% [SE, 0.9%] White) were analyzed. Considering average associations across the sample, exposure to higher vs lower levels of structural disadvantage in adolescence was associated with accelerated epigenetic aging (GrimAge2: β, 0.35 [95% CI, 0.09-0.61]; DunedinPACE: β, 0.08 [95% CI, 0.03-0.13]) and greater CRP-related DNAm (β, 0.07 [95% CI, 0.02-0.12]), even after adjusting for self-reported race and family socioeconomic status. Findings from an interaction model suggested that while Black respondents experienced faster epigenetic aging and greater CRP-related DNAm overall, the association between adolescent structural disadvantage and these outcomes was slightly negative for Black respondents, yet positive for White respondents. Conclusions and Relevance: In this prospective cohort study of adults in early midlife, the results suggest that early-life contexts were important factors for accelerated epigenetic aging and CRP-related DNAm. These findings enhance understanding of when and how disparities in aging-related diseases may emerge, informing effective solutions for addressing the rising burden of aging-related diseases.

Indexed as

AgingAdolescentAdultBlack or African AmericanDNA MethylationEpigenesis, GeneticFemaleHumansLongitudinal StudiesLow Socioeconomic StatusMaleProspective StudiesSocioeconomic Disparities in HealthUnited StatesWhite

Identifiers

PMID42113514
PMCPMC13162074

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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.