In order to develop a research agenda for better understanding and addressing structural racism, it is important to consider historical and contemporary policies and other structural factors that affect the health and well-being of individuals, families, and communities. Strategies for measuring these structural factors are key to enhancing our understanding as well.
To learn more about studying race and structural racism responsibly, see Chapter 1 of the workshop proceedings.
To learn more about the measurement and modeling of structural racism, see Chapter 2 of the workshop proceedings.
To learn more about data infrastructure needs in harnessing data for research in structural racism, see Chapter 3 of the workshop proceedings.
These key takeaways from the workshop were identified in the final session in response to the workshop’s guiding questions:
What new measures of structural racism or data linkages could be used in ongoing or future studies to advance aging research?
What mechanisms or data linkages could be used in studies that link structural racism to disparities in health and well-being over time and place?
What study designs could be used to consider how structural factors operate to shape health over the life course?
To learn more about the key takeaways, see Chapter 4 of the proceedings.
Sponsor: National Institute on Aging (NIA)
The Committee on Population of the National Academies of Sciences, Engineering, and Medicine convened a two-day public workshop on May 16–17, 2022, to:
Speakers included investigators from relevant studies, population health researchers, and experts across disciplines with innovative methodologies.