Associations between life-course socioeconomic conditions and the pace of aging

Schrempft, Stephanie; Belsky, Daniel W; Draganski, Bogdan; Kliegel, Matthias; Vollenweider, Peter; Marques-Vidal, Pedro; Preisig, Martin; Stringhini, Silvia

doi:10.1093/gerona/glab383

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Associations between life-course socioeconomic conditions and the pace of aging

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Draganski, Bogdan
Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Schrempft, S., Belsky, D. W., Draganski, B., Kliegel, M., Vollenweider, P., Marques-Vidal, P., et al. (2021). Associations between life-course socioeconomic conditions and the pace of aging. Journals of Gerontology: Series A, Biological Sciences and Medical Sciences. doi:10.1093/gerona/glab383.

Cite as: https://hdl.handle.net/21.11116/0000-000A-1DE8-1

Abstract

Background: Socioeconomic disadvantage is a well-established predictor of morbidity and mortality, and is thought to accelerate the aging process. This study examined associations between life course socioeconomic conditions and the Pace of Aging, a longitudinal measure of age-related physiological decline.

Methods: Data were drawn from a Swiss population-based cohort of individuals originally recruited between 2003 and 2006, and followed up for 11 years (2834 women, 2475 men aged 35 - 75 years (mean 52)). Pace of Aging was measured using three repeated assessments of 12 biomarkers reflecting multiple body systems. Analysis tested associations of socioeconomic conditions with physiological status at baseline and with the Pace of Aging.

Results: Participants with more life course socioeconomic disadvantage were physiologically older at baseline and experienced faster Pace of Aging. Effect-sizes (β) for associations of childhood socioeconomic disadvantage with baseline physiological status ranged from 0.1-0.2; for adulthood socioeconomic disadvantage, effect-sizes ranged from 0.2-0.3. Effect-sizes were smaller for associations with the Pace of Aging (< 0.05 for childhood disadvantage, 0.05-0.1 for adulthood disadvantage). Those who experienced disadvantaged socioeconomic conditions from childhood to adulthood aged 10% faster over the 11 years of follow-up as compared with those who experienced consistently advantaged socioeconomic conditions. Covariate adjustment for health behaviors attenuated associations, but most remained statistically significant.

Conclusions: Socioeconomic inequalities contribute to a faster Pace of Aging, partly through differences in health behaviors. Intervention to slow aging in at risk individuals is needed by midlife, before aetiology of aging-related diseases become established.