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P39 Wealth inequalities and trajectories of insulin-like growth factor (IGF-1)
  1. Aswathikutty Gireesh1,
  2. Amanda Sacker1,
  3. Anne McMunn1,
  4. Dorina Cadar2
  1. 1Department of Epidemiology and Public Health, University College London, London, UK
  2. 2Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, UK


Background Evidence on the neuroinflammatory embedding of adverse socioeconomic conditions is still emerging. Furthermore, most studies have relied on either C-reactive protein or fibrinogen and neglects the time-varying nature of biological responses. Utilising longitudinal data, the current study examined the effects of wealth on long-term trajectories of a more novel biomarker: Insulin-like growth factor (IGF-1) in middle-aged adults.

Methods Data from the English Longitudinal Study of Ageing waves 4 (2008/09) through 9 (2018/2019 were used. The analytic sample includes 7,376 participants. IGF-1 data collection took place at baseline wave 4 (2008/9), wave 6 (2012/13) and wave 8/9 (2018/19). Socioeconomic marker, wealth was selected from baseline wave 4. Growth curve models were used to examine IGF-1 levels over time, adjusting for age, sex, marital status, and health status.

Results There were significant decrease in IGF-1 levels with age. Being in the highest wealth quintile at baseline was associated with higher IGF levels (β= 0.83 , 95% Confidence interval: 0.44, 1.21) in the adjusted models. IGF-1 level declined rapidly with age from the lowest wealth quintile and appeared to be socioeconomically patterned by wealth (highest wealth quintile: β= -0.073, 95%CI: -0.10, -0.03)

Conclusion Our findings indicate biological embedding of social experiences in later life through inflammatipn. IGF-1 can be a mechanistic link to health inequalities. Further studies are needed to explore whether IGF-1 could be a potential intervention target to reduce health risk among socioeconomically disadvantaged groups.

  • Inequalities
  • neuroimmune marker
  • biological embedding

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