The Role of Work in Health Disparities in the U.S. (R01 Clinical Trials Optional)
Funding for research on how work affects health disparities in the U.S. among populations facing health inequities.
Funder: National Institutes of Health
Due Dates: June 5, 2025 (New) | July 5, 2025 (Renewal/Resubmission/Revision) | September 7, 2025 (AIDS) | October 5, 2025 (New) | November 5, 2025 (Renewal/Resubmission/Revision) | January 7, 2026 (AIDS) | Additional standard NIH R01 dates through January 2028
Funding Amounts: No budget limit; budgets must reflect actual project needs. Maximum project period: 5 years.
Summary: Supports innovative research to identify and characterize how work or occupation influences health outcomes and health disparities in U.S. populations.
Key Information: Clinical trials are optional; projects must focus on NIH-designated health disparity populations in the U.S.; foreign organizations are not eligible.
Description
This opportunity supports population-based research to understand the pathways and mechanisms by which work or occupation affects health outcomes and health status among populations experiencing health and/or health care disparities in the United States. The initiative seeks to move beyond traditional occupational health research by examining work as a social determinant of health (SDOH), including its role as a source of exposures, social and economic resources, and social status.
Research may address:
- How work contributes to or mitigates health and health care disparities.
- Mechanisms linking work (including under-employment, unpaid, and informal work) to health outcomes.
- The impact of occupational segregation, workplace policies, and macro-level labor trends on health disparities.
- Intersectional and life course approaches, including household and intergenerational effects.
- Reciprocal relationships between health and work opportunities.
Projects may involve primary data collection or secondary analysis, and can use a range of methodologies (observational, quasi-experimental, modeling, mixed methods, etc.). Collaboration with community partners and stakeholders is encouraged.
