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Phenotypic age acceleration through a lens of intersectional inequalities in the German National Cohort (NAKO)

2026/03/11 by Enrique Alonso-Perez, Julie Lorraine O’Sullivan, Georg Fuellen +2 · 1 voice
Social Sciences · Biochemistry, Genetics and Molecular Biology · #Health disparities and outcomes #Race, Genetics, and Society #Genetic Associations and Epidemiology

paper · doi:10.1016/j.annepidem.2026.110075

openalex publication_date 2026/03/11 · openalex created_date 2026/03/13 · openalex updated_date 2026/07/31

Abstract

PURPOSE: Biological aging differences are linked to sociodemographic characteristics, but how intersecting social dimensions shape these differences remains unclear. Integrating aging biology and intersectionality theory, we examined the joint influence of multiple social determinants on phenotypic age acceleration (biological vs. chronological age). METHODS: Using data from 173,925 participants in the German NAKO study, we calculated phenotypic age acceleration based on blood-based biomarkers and created 72 intersectional social strata based on sociodemographic factors. We assessed differences across strata using intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA). RESULTS: All intersectional strata displayed phenotypic age deceleration (biologically younger than chronological age). The advantage was smallest among men without migration background, living alone and with low socioeconomic status. Substantial discriminatory accuracy (7.13%) revealed intersectional inequalities, predominantly driven by additive effects. Modest interaction effects indicated increased risk for individuals with migration background not living alone and medium/high socioeconomic status and those without migration background living alone with medium/low socioeconomic status. CONCLUSIONS: Our findings suggest that intersectional strata shape biological aging beyond chronological age, potentially through cumulative physiological effects of chronic psychosocial stress. Future epidemiological research should explore the mechanisms linking intersecting social dimensions and biological aging, designing intersectionally-informed targeted interventions.

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