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The adage “time is money” signifies that time itself is a major social resource, but the role of time as a determinant of health inequities remains underappreciated. Time is fundamental to health promotion and human agency, as in having time to exercise and maintain social relationships. Further, scarcity in time is related to stress and illness. Time is also racialized, such that racial/ethnic minorities often have less free time and suffer a time penalty in multiple facets of life. Such penalties manifest in problems such as greater time in prison or more time spent accessing services. We argue that time may be a social determinant of health that is shaped by racism across the life course. We focus on three aspects: time as age, time as exposure, and time as a resource and privilege. We distinguish between chronological age, biological age, and social age. We discuss issues of accelerated aging and potential interconnections with critical periods. We also examine racial inequities in time. By more deeply considering time, we may advance our understanding of racial inequities in health.

Over the last decade, health information technology (IT) has dramatically transformed medical practice in the United States. On May 11–12, 2017, the National Institute on Minority Health and Health Disparities, in partnership with the National Science Foundation and the National Health IT Collaborative for the Underserved, convened a scientific workshop, “Addressing Health Disparities with Health Information Technology,” with the goal of ensuring that future research guides potential health IT initiatives to address the needs of health disparities populations. The workshop examined patient, clinician, and system perspectives on the potential role of health IT in addressing health disparities. Attendees were asked to identify and discuss various health IT challenges that confront underserved communities and propose innovative strategies to address them, and to involve these communities in this process. Community engagement, cultural competency, and patient-centered care were highlighted as key to improving health equity, as well as to promoting scalable, sustainable, and effective health IT interventions. Participants noted the need for more research on how health IT can be used to evaluate and address the social determinants of health. Expanding public-private partnerships was emphasized, as was the importance of clinicians and IT developers partnering and using novel methods to learn how to improve health care decision-making. Finally, to advance health IT and promote health equity, it will be necessary to record and capture health disparity data using standardized terminology, and to continuously identify system-level deficiencies and biases.

Ethn Dis. 2021;31(Suppl 1):283-284;doi:10.18865/ed.31.S1.283

While the link between food insecurity and obesity are well documented in the research literature, more research is needed to better understand underlying mechanisms, associated risks, effective strategies and interventions, and implementation science approaches to mitigate these public health concerns.

Advancing health equity and reducing disparities through evidence-based policy research requires the expertise, insights, and active participation of various policy stakeholders – particularly those representing vulnerable populations who may be disproportionately affected by such policies. Unfortunately, there are few sustainable settings for these diverse stakeholders to convene, share their knowledge, develop and execute research in a collaborative fashion, and effectively translate evidencebased findings. The development of a health policy-focused center supports the collaborative structure needed to present a unified, multi-disciplinary approach toward informing health policy. The Transdisciplinary Collaborative Center for Health Disparities Research (TCC) at Morehouse School of Medicine (U54MD008173) was funded in 2012 by the National Institute on Minority Health and Health Disparities (NIMHD) as an innovative approach for conducting health policy research and disseminating evidence-based science to diverse stakeholders. This article provides an overview of the research projects, pilot project programs, infrastructure cores, communications, and strategic dissemination activities supported by the TCC.

The physical environment encompasses places, infrastructure, neighborhoods, and communities and affects a wide range of health conditions and quality of life outcomes that are distributed across populations. The physical environment may contribute to disparities in health risks and may lead to health disparities, particularly when access or exposure to the positive and negative attributes of the physical environment varies across populations and places. A growing body of evidence indicates that health disparity populations are disproportionately burdened by higher exposures to environmental chemicals, poorly designed and under‐resourced communities, and other attributes of the physical environment that exacerbate adverse health outcomes. In this chapter, we outline common methods used in environmental health research to measure the physical environment and to assess disparities in health risks, discuss characteristics of the built environment that are key to understanding how the physical environment contributes to health disparities across the course of individual lives and generations, and conclude with challenges and opportunities in environmental health and epidemiological research.