**This project is a part of the Summer Program for Undergraduate Research (SPUR), which provides undergraduate students with an intensive 10-week research experience under the mentorship of a University of Utah faculty member. SPUR 2022 begins on May 25 and ends on August 4. If you are interested in this project, please review all program information on the SPUR site. If you wish to apply to this project, you must apply using the SPUR 2022 application.**
** This project is funded by a grant from the National Institute of Environmental Health Sciences (PIs: Sara Grineski and Tim Collins). In addition to being part of SPUR, it is also part of the HAPPIEST program. Applicants must be University of Utah students who identify in one or more of the following ways (defined by the National Institutes of Health): Blacks or African Americans, Hispanics or Latinxs, American Indians or Alaska Natives, Native Hawaiians, and other Pacific Islanders. Two students will be selected to work on this project together.**
Over the past several decades, advancements in the treatment of cancer have led to over 18 million cancer survivors in the United States. While these treatments have greatly extended the life of individuals with cancer, certain cancer therapies can cause heart and lung problems during cancer treatment and lead to chronic conditions that can last throughout a survivor’s life. Particulate matter air pollution (PM2.5) also causes heart and lung morbidity and mortality. Several studies have shown that higher community levels of PM2.5 increases the risk of cancer-related mortality. How PM2.5 air pollution affects the health of cancer survivors and leads to higher morbidity and mortality, however, is unknown. The goal of this research is to determine if exposure to PM2.5 increases the risk of heart and lung health events among cancer survivors, particularly those given treatment regimens with known toxicity.
assisting with data preparation and management, including building treatment exposure data and working administrative data records,
contributing to obtaining covariate data for regression analyses (e.g., smoking status, meteorological information, COVID-19/influenza rate data, etc.),
assisting with study design,
assisting with running descriptive analyses investigating PM2.5 levels throughout Utah, and
contributing to scientific reporting, including creation of tables for manuscripts and abstracts.
The student will also have the opportunity to participate in weekly research team meetings with other faculty, staff, and students.