4.7 Article

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

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/gerona/glab383

关键词

Biological age; Biomarkers; Physiological decline; Social inequalities; Social mobility

资金

  1. Leenaards Foundation
  2. GlaxoSmithKline
  3. Faculty of Biology and Medicine of the University of Lausanne
  4. Swiss National Science Foundation [33CSCO-122661, 33CS30-139468, 33CS30148401]
  5. Swiss National Science Foundation (SNF) [33CS30_139468] Funding Source: Swiss National Science Foundation (SNF)

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This study found that individuals with socioeconomic disadvantage tend to have older physiological age at baseline and experience a faster pace of aging. Childhood and adulthood socioeconomic disadvantage are associated with the pace of aging, with smaller effects on the pace compared to baseline physiological status. Covariate adjustment attenuated associations, but most remained statistically significant.
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 (beta) 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.

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