Thursday, September 18, 2014
CHAPEL HILL, N.C. – Individuals living in disadvantaged neighborhoods have worse musculoskeletal pain outcomes over time after stressful events such as motor vehicle collision than individuals from higher socioeconomic status neighborhoods, even after accounting for individual characteristics such as age, sex, income, education, and employment status.
These were the findings of a multi-site research study led by Samuel McLean, MD, MPH, associate professor of anesthesiology and emergency medicine at the University of North Carolina School of Medicine. The results of the study were published online by the journal Pain.
“We all like to believe that we are immune to the circumstances of our environment,” said Dr. McLean. “These results suggest that when it comes to chronic musculoskeletal pain development after traumatic/stressful events, the poet John Donne was right – ‘No man is an island.' "
The investigators enrolled 948 European-American individuals who presented to emergency care centers in four U.S. states for evaluation after car accidents. Patients were enrolled at the time of their presentation for emergency care, and then received follow-up evaluation at 6 weeks, 6 months, and 12 months. Approximately 90 percent of participants completed follow up at each time point.
Information regarding each study participant’s neighborhood environment was determined by geocoding their home address to a “census tract.” A census tract is the smallest territorial unit for which population data are available in the U.S. Census tract data was then used to determine neighborhood socioeconomic status using the Socioeconomic Position Index. This index generates a total score by averaging scores of the following measures: percent unemployed, percent below the U.S. poverty line, percent with high school education or less, percent of expensive homes (owner-occupied homes worth $300,000 or more) in the neighborhood, and median household income.
After adjusting for individual-level factors including participant sex, age, highest level of educational attainment, family income, and employment status, living in a more disadvantaged area was found to increase pain burden in the months after the car accident. Results remained significant after adjustment for receiving opioids at the time of emergency care, litigation status, obesity (body mass index), at-risk drinking habits prior to the accident, and mental health status prior to the accident.
There are many ways that living in a poor neighborhood might increase pain across time after a car accident. One potential factor is that living in a disadvantaged neighborhood increases stress and has been shown to affect the function of an individual’s stress (i.e., “fight or flight”) system. To test this hypothesis, the investigators collected blood samples from participants, and evaluated whether those participants with a common genetic variant which makes one more vulnerable to stress were more affected by the adverse effect on pain of living in a disadvantaged environment. The investigators found that this was the case: those without the genetic variant were relatively unaffected, whereas those with the gene had large and clinically significant differences in pain outcomes depending on their neighborhood environment.
“This finding suggests that the increased stress of living in a disadvantaged neighborhood affects biological systems in the body in ways that increase pain and worsen pain outcomes,” said Dr. McLean. “These results also add further evidence that stress systems are involved in the development of chronic pain. This is really important, because we have to understand the biology in order to be able to develop better preventive interventions.”
First author of the study is Jacob Ulirsch, BS, a former collaborator in Dr. McLean's lab. UNC co-authors include Mark A. Weaver, PhD, research assistant professor in the UNC Gillings School of Global Public Health; and Andrey V. Bortsov, research assistant professor in the UNC Department of Anesthesiology.
This research was supported by a grant (R01 AR056328) from the National Institutes of Health.