Neighborhood poverty duration, timing, and severity from adolescence to early midlife and biological aging
Clicks: 5
ID: 321922
2026
Article Quality & Performance Metrics
Overall Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
0.0
/100
0 views
0 readers
AI Quality Assessment
Not analyzed
Abstract
Neighborhood socioeconomic disadvantage is linked to accelerated biological aging using DNA methylation; however, limited knowledge exists of the relationship between duration or timing of exposure to neighborhood poverty across life stages and biological aging, measured by epigenetic clocks. Existing research has relied on samples with limited racial and gender diversity. We examined the relationship between multiple dimensions of neighborhood poverty (duration, life stage of first exposure, life stage exposure trajectories, and severity) and biological aging using data from 3637 participants followed for 25 years in the National Longitudinal Study of Adolescent to Adult Health. We employed survey linear regression models to estimate associations for three epigenetic clocks: GrimAge2, PhenoAge, DunedinPACE. In the total sample, only 8% of participants experienced neighborhood poverty across all life stages, which differed starkly by race (Non-Hispanic Blacks: 26% vs. Non-Hispanic Whites: 4%). We found that each additional life stage of exposure to neighborhood poverty was associated with significant biological age acceleration. Experiencing neighborhood poverty in mid-adulthood was consistently associated with accelerated biological aging. Our results suggest a relationship between duration and timing of exposure to neighborhood poverty and accelerated biological aging across key biological clocks, indicating possible lasting cellular level effects of residential context.
| Reference Key |
openalex_W7169849865
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Alena Sorensen, Harris KM, A M Aiello, Brandt Levitt, Sylvie Tuder, Lauren Gaydosh, Chantel L Martin |
| Journal | american journal of epidemiology |
| Year | 2026 |
| DOI |
10.1093/aje/kwag176
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.