Evidence map›Paper›PMID 42059341›Full record

ArticleJournal of health and social behavior2026

How "Clocking in" Ages Us: An Examination of Work History, Work Quality, and Accelerated Epigenetic Aging in Older Adulthood.

Mateo P Farina, Rachel Donnelly, Jessica D Faul

Abstract read
In one paragraph

Article in Journal of health and social behavior, 2026. 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

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

3 authors.

Mateo P FarinaUniversity of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-0765-6550
Rachel DonnellyVanderbilt University, Nashville, TN, USA.ORCID 0000-0003-1374-0131
Jessica D FaulUniversity of Michigan, Ann Arbor, MI, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Epigenetic Mechanisms Linking Lifetime Social and Environmental Exposures to Cognitive AgingR00AG076964 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI FARINA, MATTHEW · 2024 to 2024
$249k
NIA NIH HHS P30 AG066614NIA NIH HHS R00 AG076964NIA NIH HHS U01 AG009740NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

Consistent employment, especially secure, high-wage employment, has well-documented associations with lower risk of later-life morbidity and mortality, and accelerated biological aging may underlie these associations. Although research evaluating employment and accelerated epigenetic aging is growing, questions remain about the implications of chronic work-related exposures for accelerated aging. This study uses longitudinal data from the Health and Retirement Study (HRS) and the 2016 HRS Venous Blood Study (n = 3,000) to evaluate how work-related experiences throughout midlife are associated with accelerated epigenetic aging. Results show that a history of not working for pay and a history of poor work quality (i.e., job insecurity, insufficient work hours, low wages) among workers in midlife are associated with accelerated epigenetic aging in later life. Symptoms of depression and health behaviors partially attenuate these associations. Overall, findings suggest that chronic work-related exposures are critical yet overlooked antecedents of accelerated aging.

Indexed as

employment qualityepigenetic agingHRSwork history

Identifiers

PMID42059341
PMCPMC13485300

What OpenQuestion holds

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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.