Associations Between Life-Course Socioeconomic Conditions and the Pace of Aging

Author:

Schrempft Stephanie1ORCID,Belsky Daniel W23ORCID,Draganski Bogdan45,Kliegel Matthias678,Vollenweider Peter9ORCID,Marques-Vidal Pedro9,Preisig Martin10,Stringhini Silvia11112

Affiliation:

1. Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland

2. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA

3. Robert N. Butler Columbia Aging Center, Columbia University, New York, New York, USA

4. Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

5. Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

6. Swiss National Centre of Competence in Research, “LIVES - Overcoming Vulnerability: Life Course Perspectives,” University of Geneva, Geneva, Switzerland

7. Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland

8. Department of Psychology, University of Geneva, Geneva, Switzerland

9. Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

10. Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

11. Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland

12. University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland

Abstract

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 (2 834 women, 2 475 men aged 35–75 years [mean 52]). Pace of Aging was measured using 3 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 to 0.2; for adulthood socioeconomic disadvantage, effect sizes ranged from 0.2 to 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 etiology of aging-related diseases become established.

Funder

Leenaards Foundation Scientific Prize

GlaxoSmithKline

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

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