U.S. Southeast and Rural Areas Have More Severe COVID-19 Tied to Chronic Illness
Published August 3, 2020 | Health, Inflammation
Story Highlights
- Certain co-existing health problems like obesity and diabetes and lung, heart and kidney disease have been associated with increased risk for severe symptoms and death from COVID-19.
- A recent CDC Morbidity and Mortality Weekly Report reported that underlying conditions contributing to greater risk for severe COVID-19 disease are more prevalent in the southeast and in rural areas of the U.S.
- Recognizing that the report has limitations due to study design and incomplete knowledge about COVID-19, the authors hope the findings will help guide state and local governments in identifying geographical areas in need of additional support and allocation of resources.
Defining severe COVID-19 disease as “illness requiring hospitalization, intensive care estimated a median county-level prevalence of almost half (47.2 percent) for presence of any of the identified risk factors. The review relied on self-reported data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) and the U.S. Census, and weighted nationwide estimates of the target medical conditions, to estimate county-level prevalence for 3,142 counties in all 50 states and Washington DC.
Severe COVID-19 Disease More Prevalent Among Obese, Chronically Ill Americans Living in Southeast and Rural Areas
According to Robert Glatter, MD, an emergency medicine physician at Lenox Hill Hospital in New York City, given the high rates of obesity and other underlying conditions that can increase the risk of severe COVID-19 symptoms in underserved rural areas, “It’s not surprising that the pandemic is hitting the southeast and rural communities particularly hard.”3 He added that, “we must allocate increased resources to populations in rural communities, which have a disproportionately larger percentage of chronic medical conditions. These communities are at higher risk for adverse outcomes and death from COVID-19 as transmission rates continue to increase.”The CDC report found that obesity, with a median county prevalence of 35.4 percent, was the most common comorbidity associated with severe disease. Diabetes came next at 12.8 percent, followed by COPD at 8.9 percent, heart disease at 8.6 percent and chronic kidney disease at 3.4 percent. The CDC further reported that, while the estimated number of adults with any of the underlying conditions was higher in more populated areas, the prevalence increased in rural areas, ranging from 39.4 percent in large central metro counties to 48.8 percent in noncore counties.
The highest prevalence levels of any condition were found in Southeastern states, most notably in Alabama, Arkansas, Kentucky, Louisiana, Mississippi, Tennessee and West Virginia, and some counties in Oklahoma, South Dakota, Texas and northern Michigan.
Inflammation, Breathing Difficulties Associated with Obesity May Raise Risks for Severe COVID-19 Outcomes
Several mechanisms have been proposed to explain the increasingly recognized role of obesity in severe COVID-19. Marc Siegel, MD, a professor of medicine at New York University’s Langone Medical Center in New York City suggests that inflammatory chemicals associated with obesity might “trigger or be associated with cytokine storm or the other inflammatory responses we see in COVID-19, including blood clotting.”4 Dr. Siegel says that the inability to fully inflate the lungs in the presence of obesity also may play a role.Study Design Limitations, Need for More Research to Clarify Findings
The authors of the CDC’s report pointed out several limitations of the survey design that would be expected to affect interpretation of their findings. Some of the limitations listed included survey biases, incomplete information on other underlying conditions that also might be important, lack of a breakdown by subcategories of recognized comorbidities (such as type of diabetes or type of heart disease) and exclusion of at-risk populations such as those incarcerated or living in long-term care. They concluded:These findings can be used by state and local decision-makers to help identify areas at higher risk for severe COVID-19–associated illness because of underlying medical conditions and guide resource allocation and implementation of prevention and mitigation strategies.5
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