Health equity
Does poverty show up on biological aging clocks?
Open access · cc by · source: Europe PMC
In 48,348 NHANES adults, higher poverty tracked faster PhenoAge and KDM aging (B=1.38 and 0.96 extreme contrast), especially in midlife.
Study at a glance
- Design
- Cross-sectional — NHANES IV weighted analyses of poverty vs PhenoAge/KDM biological age acceleration
- N
- N=48348 · U.S. adults 20–84 years across 10 survey waves
- Population
- Nationally representative U.S. adults (NHANES 1999–2018)
- Outcome
- PhenoAge and KDM biological age acceleration by poverty category
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
Higher poverty associated with accelerated aging beyond covariates; age associations were U-shaped and poverty effects strongest in middle age.
Methodology
Estimated biological age from 11 biomarkers, indexed acceleration (PAA, KDM-A), and regressed on poverty ratio categories with survey weights.
Limitations
Cross-sectional associations cannot prove poverty causes clock acceleration or quantify treatment effects of income interventions.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Poverty exposure associates with accelerated biological aging in population data.
A population-representative analysis links living in poverty with accelerated biological aging markers.
Evidence for the claim as stated.
Poverty linked to acceleration in population sample vs Methylation tracks chronological aging in blood
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Poverty linked to acceleration in population sample vs Methylation tracks chronological aging in blood
- Supports · Three CpGs track blood aging
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