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Does poverty show up on biological aging clocks?

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In 48,348 NHANES adults, higher poverty tracked faster PhenoAge and KDM aging (B=1.38 and 0.96 extreme contrast), especially in midlife.

Source

Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults

Dalecka A, Bartoskova Polcrova A, Pikhart H, et al. · BMC public health · 2024

doi.org/10.1186/s12889-024-17960-wRead the full paper ↗25 citationscc by

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.

What they did

Estimated biological age from 11 biomarkers, indexed acceleration (PAA, KDM-A), and regressed on poverty ratio categories with survey weights.

What they found

Higher poverty associated with accelerated aging beyond covariates; age associations were U-shaped and poverty effects strongest in middle age.

The limits

What it doesn't show

Cross-sectional associations cannot prove poverty causes clock acceleration or quantify treatment effects of income interventions.

Key terms

Biological age acceleration
Biological age exceeding chronological age.
PhenoAge acceleration (PAA)
Phenotypic aging clock residual used as outcome.
Klemera-Doubal method (KDM)
Biomarker composite biological age approach.
NHANES
U.S. National Health and Nutrition Examination Survey.
Income-to-poverty ratio
Family income relative to Census poverty thresholds.
Survey weights
Make estimates representative of U.S. adults.

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Sample size:

Common questions

Sample n?

48,348 adults.

Biomarkers used?

11 biomarkers.

PAA extreme poverty contrast B?

1.38 (p<.001).

Where is poverty effect strongest?

Middle-aged groups.

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