Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis.
Level 3 - non-randomized controlled study
Multi-cohort observational study across 18 cohorts.
PubMed 31009935 · doi:10.18632/aging.101900
What was done
Analyzed the association of socioeconomic position (measured by education level) and lifestyle risk factors with four biomarkers of age-dependent DNA methylation dysregulation: total number of stochastic epigenetic mutations (SEMs) and three epigenetic clocks (Horvath, Hannum, and Levine). Data were drawn from 18 cohorts spanning 12 countries.
What was found
The abstract reports no numerical data, effect sizes, or confidence intervals. It states that the four biological aging biomarkers were independently associated with education level and distinct risk factors. The effect magnitude of low education on accelerated epigenetic aging was comparable to obesity and alcohol intake, whereas smoking had a significantly stronger effect.
Why it matters
This work links lower educational attainment directly to accelerated biological aging across multiple international cohorts, pointing to epigenetic clocks as candidate biological pathways connecting socioeconomic inequalities to health and longevity.
Limits
The abstract provides no total sample size (n), numerical effect sizes, or confidence intervals. Being an observational multi-cohort analysis, residual confounding and cohort heterogeneity cannot be ruled out, and causal directionality cannot be confirmed.
Cited by
- supports The Horvath DNA methylation clock shows accelerated epigenetic aging in individuals who smoke or are obese.