NIH Collaboration Seeks to Help Understand U.S. Burden of Health Disparities: Why Your County Matters
Posted on by Eliseo J. Pérez-Stable, M.D., National Institute on Minority Health and Health Disparities
Since the early 1990s, federal support of research has increased to understand minority health and identify and address health disparities. Research in these areas has evolved from a starting point of developing a basic descriptive understanding of health disparities and who is most affected. Now, it is discovering the underlying complexity of factors involved in health outcomes to inform interventions and reduce these disparities.
One of these many factors is where we live, learn, work, and play and how that affects different people. A group of NIH scientists and their colleagues recently published a study in the journal The Lancet that they hope is a step toward better understanding geographic disparities and their role in health equity .
As Director of NIH’s National Institute on Minority Health and Health Disparities (NIMHD), I worked with NIMHD’s Scientific Director, Anna María Nápoles, to conceive the study and establish the Global Burden of Disease (GBD) U.S. Health Disparities Collaborators at NIH with five NIH Institutes and two Offices. Through this collaboration, NIH funded the Institute for Health Metrics and Evaluation (IHME), University of Washington to conduct the analysis. The IHME has worked for 30 years on the GBD project in over 200 countries.
The Lancet paper offered the first comprehensive U.S. county-level life expectancy estimates to highlight the significant gaps that persist among racial and ethnic populations across the nation. The analysis revealed that despite overall life expectancy gains of 2.3 years from 2000–2019, Black populations experienced shorter life expectancy than White populations.
In addition, American Indian and Alaska Native populations’ life expectancy did not improve and, in fact, decreased in most counties. We found national-level life expectancy advantages for Hispanic/Latino and Asian populations ranging from three to seven years, respectively, compared to White populations. But there were notable exceptions for Hispanic/Latino populations in selected counties in the Southwest.
Certainly the most-alarming trend identified in the paper was that during the study’s last 10 years (2010–2019), life expectancy growth was stagnant across all races and ethnicities. Moreover, 60 percent of U.S. counties experienced a decrease in life expectancy.
While these findings provide an important frame for how disparities exist along many dimensions—by race, ethnicity, and geographic region—they also highlight these differences within our local communities. This level of detail offers an unprecedented opportunity for researchers and public health leaders to focus on where these differences are the most prominent, and possibly give us a clearer picture on what can be done about it.
These data raise many important questions, too. What can we learn from places that are doing well in caring for their most disadvantaged populations? How can these factors be sustained, replicated, and transferred to other places? Are there current policies and/or community services that contribute to or inhibit gaining access to appropriate clinical care, healthy and affordable food, good schools, and/or economic opportunities?
To help answer these questions, the GBD U.S. Health Disparities Collaborators at NIH, in partnership with IHME, have developed a comprehensive database and interactive data visualization tool that provides life expectancy and all-cause mortality by race and ethnicity for 3,110 U.S. counties from 2000-2019. Efforts are underway to expand the database to include causes of death and risk factors by race/ethnicity and education, as well as to disaggregate some of the major racial-ethnic groups.
Using IHME’s established model of comprehensive and replicable data collection, the joint effort aims to improve access to health data resources, bolster analytic approaches, and deliver user-friendly estimates to the wider research and health policy community. The collection’s standardized, comprehensive, historical, and real-time data can be the cornerstone for efforts to address disparities and advance health equity.
It is important to note that the Lancet study only included data from before the COVID-19 pandemic. The pandemic’s disproportionate effect on overall mortality and life expectancy has exacerbated existing health disparities. Disaggregated data are essential in helping to understand the underlying mechanisms of health disparities and guiding the development and implementation of interventions that address local needs.
As a clinician scientist, I have made a personal commitment at NIMHD to foster and encourage data collection with standardized measures, harmonization, and efficient data sharing to help us explore the nuances within all populations and their communities. Without these guiding principles for managing data, inequities remain unseen and unaddressed. Scientists, clinicians, and policymakers can all potentially benefit from this work if we use the data to inform our actions. It is an opportunity to implement real change in our NIH-wide combined efforts to reduce health disparities and improve quality of life and longevity for all populations.
 Life expectancy by county, race, and ethnicity in the USA, 2000-19: a systematic analysis of health disparities. GBD US Health Disparities Collaborators. Lancet. 2022 Jul 2;400(10345):25-38.
Understand Health Disparities Series (National Institute on Minority Health and Health Disparities/NIH)
HD Pulse (NIMHD)
PhenX Social Determinants of Health Toolkit (NIMHD)
Institute for Health Metrics (University of Washington, Seattle)
NIH Support: The members of the GBD U.S. Health Disparities Collaborators at NIH include: National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; NIH Office of Disease Prevention; NIH Office of Behavioral and Social Science Research
Note: Dr. Lawrence Tabak, who performs the duties of the NIH Director, has asked the heads of NIH’s Institutes and Centers (ICs) to contribute occasional guest posts to the blog to highlight some of the interesting science that they support and conduct. This is the 17th in the series of NIH IC guest posts that will run until a new permanent NIH director is in place.
Widening Gap in U.S. Life Expectancy
Posted on by Dr. Francis Collins
Americans are living longer than ever before, thanks in large part to NIH-supported research. But a new, heavily publicized study shows that recent gains in longevity aren’t being enjoyed equally in all corners of the United States. In fact, depending on where you live in this great country, life expectancy can vary more than 20 years—a surprisingly wide gap that has widened significantly in recent decades.
Researchers attribute this disturbing gap to a variety of social and economic influences, as well as differences in modifiable behavioral and lifestyle factors, such as obesity, inactivity, and tobacco use. The findings serve as a sobering reminder that, despite the considerable progress made possible by biomedical science, more research is needed to figure out better ways of addressing health disparities and improving life expectancy for all Americans.
In the new study published in JAMA Internal Medicine, a research team, partially funded by NIH, found that the average American baby born in 2014 can expect to live to about age 79 . That’s up from a national average of about 73 in 1980 and around 68 in 1950. However, babies born in 2014 in remote Oglala Lakota County, SD, home to the Pine Ridge Indian Reservation, can expect to live only about 66 years. That’s in stark contrast to a child born about 400 miles away in Summit County, CO, where life expectancy at birth now exceeds age 86.
Less TOR Protein Extends Mouse Lifespan
Posted on by Dr. Francis Collins
The average life expectancy in the United States currently is about 79 . And, unsurprisingly, more than two-thirds of Americans say they’d like to live another 10 to 20 years longer .
One possible route to a longer life is to cut calories drastically. Not much fun perhaps, but there’s evidence it works in yeast, worms, and mice—but probably not in monkeys . The potential life-extending strategy that I’d like to tell you about today focuses on the drug rapamycin, which blocks the activity of a protein called “target of rapamycin,” or TOR. Recently, a team here at NIH discovered that—at least in mice—reducing production of this protein through genetic engineering can add about 20% to the lifespan .