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Completed SPRINGBOARD Europe PMC

The cross-national impact of discrimination on health: considering social and genetic vulnerabilities

£10M GBP

Funder The Academy of Medical Sciences
Recipient Organization King's College London
Country United Kingdom
Start Date May 01, 2021
End Date Oct 31, 2023
Duration 913 days
Data Source Europe PMC
Grant ID SBF006\1036
Grant Description

Aim: This study will use longitudinal data from three cohort studies (n=~78,000) to assess the impact of discrimination based on a range of characteristics on mental and physical health. Objective 1: To conduct a cross-national comparison of the link between discrimination and health a.

To investigate how discrimination from different sources (e.g. sexism + ageism) affects health over time, assessing whether associations vary by country. b.

To assess the impact of repeated discrimination (based on frequency of exposure) on health over time, and to explore whether these associations vary cross-nationally. Objective 2: To assess how discrimination interacts with social and genetic vulnerabilities to influence health a.

To investigate how discrimination interacts with social vulnerability (e.g. low socioeconomic status) to influence health, assessing cross-national variations. b.

To assess how discrimination interacts with genetic vulnerability (polygenic risk scores) to influence health, across countries. Data

📚 Sources & References
  • 1) US Health and Retirement Study (HRS) 2) English Longitudinal Study of Ageing (ELSA) and 3) Survey of Health
  • Ageing and Retirement in Europe (SHARE). HRS and ELSA have harmonised discrimination and health data, and polygenic risk scores for depression, wellbeing and cardiometabolic disease. SHARE has discrimination and health data from 27 European countries. Value of the investigation: The study is powered to investigate discrimination from multiple sources and assess whether findings vary cross-nationally. The study will test whether discrimination exacerbates social gradients in health. It will capitalise on innovative biological measures, to assess whether there is a super-additive effect of genetic risk and discrimination on health.
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