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Active NON-SBIR/STTR RPGS NIH (US)

Social Determinants of Adolescent and Young Adult Mortality: New Evidence from Large-Scale Administrative Data

$6.46M USD

Funder EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Recipient Organization Stanford University
Country United States
Start Date Sep 06, 2024
End Date May 31, 2029
Duration 1,728 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10858781
Grant Description

Concerns about deteriorating mental health, substance use disorders, early development of chronic conditions, exposure to economic shocks, and to violence---causes that may all lead to premature mortality among adolescents and young adults in the United States, have been rising in recent public discourse. Despite these concerns, and the importance of this age group for the

society’s future well-being, research on the trends, variation, and above all distal causes of mortality in this age group has been limited when compared to evidence on the causes and consequences of mortality among infants and older adults. This dearth of evidence likely stems from the absence of data sets with wide population coverage for this age group that links

mortality—a very rare outcome—with anything beyond the basic demographic information about the individuals. In this project, we propose to take advantage of extensive infrastructure for linking US administrative data that has been developed by the U.S. Census Bureau, to construct a new database that links administrative birth and death dates for 10 to 25-year olds, with data

on their demographics (race, ethnicity, sex, age, disability status), education, familial circumstances, parental income, access to public health insurance, healthcare providers, and local geographies, covering the time period from 2005 to the 2025. Using this new database, we will document how youth mortality evolved over time and space in the Unites States. We will

also describe mortality inequalities across different subpopulations based on a rich set of demographic and socio-economic characteristics of adolescents, young adults, their families, and communities. Finally, we aim to use natural experiments and statistical techniques of causal inference to improve our understanding of the underlying distal causes of observed mortality

patterns.

All Grantees

Stanford University

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