RURAL Health Study Reveals Key Drivers of Chronic Disease in Assumption Parish

March 19, 2026 · Baton Rouge, LA

The study is evaluating health outcomes in comparable rural parishes; Assumption Parish data revealed with Franklin Parish data to follow later this year 

Researchers at LSU’s Pennington Biomedical Research Center recently published the first set of data from the Risks Underlying Rural Areas Longitudinal, or RURAL, Heart and Lung study. The first-of-its-kind study was developed to explore why people who live in rural areas suffer disproportionately from heart and lung diseases, stroke, diabetes and obesity. Led by Dr. Stephanie Broyles, professor and director of the Contextual Risk Factors Laboratory at Pennington Biomedical, the longitudinal study first gathered data in Louisiana’s Assumption Parish and then collected data in Franklin Parish. The data book for Assumption Parish is now available to explore.

Dr. Broyles and her team worked in both Assumption and Franklin Parishes to gather data, and while these parishes feature similar demographics, they also experience different health outcomes. Data gathered in Franklin will be published soon, allowing for a greater understanding of these differences, but the Assumption Parish data also provided key takeaways. One of these is that health is closely tied with one’s education level, much more than one’s income or age. The study found that Assumption residents who didn’t graduate from high school are more than twice as likely to have high blood pressure and high cholesterol.

“These initial data open up a lot more questions, but we see them as conversation starters, not conversation enders,” said Dr. Broyles. “Why is it we’re seeing more disease in people with lower education levels? Is it because they’re working in jobs that don’t carry health insurance? Is it because they know less about behaviors that could improve their health? We’re not sure, and it’s premature to assume why we’re seeing these patterns. Just because there is a strong correlation between two data points doesn’t mean one is the cause of the other.”

The research team identified insights from the Assumption Parish data that build a more complete profile of the parish and may explain why a disparity in health exists among rural parishes. For example, Assumption Parish has a lower population density, a higher proportion of older adults, and a lower median household income. The parish faces a higher prevalence of obesity, hypertension, and diabetes, which are associated with preventable risk factors. Environmental constraints also contribute to the disparity, as not only do residents have limited access to healthy food options, but they also have access to fewer primary care providers and specialty services, with residents needing to travel long distances to reach necessary care.

In Assumption Parish, 80% of adults have overweight or obesity. That is higher than in Louisiana overall (72%) and in the U.S. (68%). Obesity rates differ the most by education level: 75% of those who didn’t complete high school have obesity compared to 48% of those who attended at least some college. High cholesterol and high blood pressure are more than twice as common in the less educated group.

“With the Franklin Parish results on the way, we will soon have a clear picture of disparities between higher-risk and lower-risk rural communities,” said Dr. Broyles. “What we are observing now is that not all rural communities are the same, and the differences that exist matter for health. Where you live in Louisiana may play a significant role in how long and how well you live.”

The RURAL study team explored the information to determine the drivers of health disparities that persist among similar rural areas. Assumption and Franklin are just two of 10 counties in the United States that are participating in the RURAL study, as the study is also active in Mississippi, Alabama and Kentucky. The study is supported across these four states by grants from the National Institutes of Health totaling $42.5 million.

The RURAL study includes teams of scientists from 16 different institutions, including Pennington Biomedical. To gather the research data, a special vehicle – the mobile examination unit – traveled to both Assumption and Franklin parishes in 2024. Collecting data from 460 Assumption Parish adults, each participant spent approximately three hours in the unit, answering questions and going through a variety of screenings, including urine and blood collection to measure blood sugar and cholesterol, an echocardiogram, a CT scan, and a pulmonary function test. The same participants will be evaluated again in 2028 to see how their health has evolved over time.