A single-author preprint built three sex-specific Klemera-Doubal biological-age measures from overlapping biomarker panels in 10,043-14,015 SHARE respondents aged 50-75 across 12 countries, and related them to social origin, education, income and wealth. All three measures predicted incident ADL/IADL limitation, lower cognition and mortality (mortality hazard ratios 1.44-1.92), and age acceleration was 0.076-0.107 SD lower per 1-SD higher education. In joint origin-destination models the respondent's own position carried the association while conditional parental-origin coefficients were compatible with zero, and 11 of 18 country-heterogeneity tests were significant after adjustment.
Why it is interesting: The socioeconomic gradient in a biomarker-based ageing measure holds across Europe but its steepness varies by country in a way that welfare-state or development typologies did not explain.