Evidence map›Paper›PMID 37431780›Full record

SynthesisAmerican journal of epidemiology2023

Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood.

Cecilia Potente, Justin Chumbley, Wenjia Xu, Brandt Levitt, Steven W Cole, Sudharshan Ravi, Julien Stephane Bodelet, Lauren Gaydosh, Kathleen Mullan Harris, Michael J Shanahan

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Subjective social standing and lower urinary tract symptoms among Black and White women and men in four regions of the United States.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
    Article
  4. Article
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 at 4 institutions in 2 countries.

Cecilia Potente
Justin Chumbley
Wenjia Xu
Brandt Levitt
Steven W Cole
Sudharshan Ravi
Julien Stephane Bodelet
Lauren Gaydosh
Kathleen Mullan Harris
Michael J Shanahan
University of Zurich · CHUniversity of North Carolina at Chapel Hill · USThe University of Texas at Austin · USUniversity of California, Los Angeles · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Social Context, the Life Course, and Genetic Transcription in Add HealthR01HD087061 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2016 to 2020
$3.0M
Social regulation of pro-inflammatory monocytesR01AG043404 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLE, STEVE W · 2014 to 2018
$1.6M
Social Regulation of Gene ExpressionR01AG033590 · NIA · UNIVERSITY OF CHICAGO · PI CACIOPPO, STEPHANIE · 2018 to 2019
$720k
NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG033590NIA NIH HHS R01 AG043404NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD087061
6 · The paper itself

Abstract

Diverse manifestations of biological aging often reflect disparities in socioeconomic status (SES). In this paper, we examine associations between indicators of SES and an mRNA-based aging signature during young adulthood, before clinical indications of aging are common. We use data from wave V (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adults aged 33-43 years, with transcriptomic data from a subset of 2,491 participants. Biological aging is measured using 1) a composite transcriptomic aging signature previously identified by Peters et al.'s out-of-sample meta-analysis (Nat Commun. 2015;6:8570) and 2) 9 subsets that represent functional pathways of coexpressed genes. SES refers to income, education, occupation, subjective social status, and a composite measure combining these 4 dimensions. We examine hypothesized mechanisms through which SES could affect aging: body mass index, smoking, health insurance status, difficulty paying bills, and psychosocial stress. We find that SES-especially the composite measure and income-is associated with transcriptomic aging and immune, mitochondrial, ribosomal, lysosomal, and proteomal pathways. Counterfactual mediational models suggest that the mediators partially account for these associations. The results thus reveal that numerous biological pathways associated with aging are already linked to SES in young adulthood.

Indexed as

AgingSocial ClassAdolescentAdultHumansIncomeLongitudinal StudiesSmokingSocioeconomic FactorsYoung Adultagingbiodemographygene expressionlife-span developmentsocial epidemiologysocial genomicssocioeconomic status

Identifiers

PMID37431780
PMCPMC10691199
OpenAlexW4383858971

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.