Building on previous research
In 2024, VoPham and her co-investigator Weaver published work on a newly developed (and validated) geospatial light exposure model that calculates solar jet lag scores. Higher scores indicate a higher “environmental circadian misalignment” or higher likelihood of exposure to solar jet lag.
This new geospatial model is currently being used to investigate the association between solar jet lag and sleep health in a recently funded National Institutes of Health R21 grant co-led by VoPham and Weaver.
Now, they’ll pair their improved high-resolution geospatial light exposure model for solar jet lag with electronic health records from the Veterans Health Administration, the largest integrated health care system in the United States.
“We will examine 23 million VA patients, of which there are 60,000-plus HCC cases diagnosed from 2001 to 2024,” VoPham explained.
Scaling this new geospatial light exposure model for large-scale epidemiologic analyses is possible through leveraging computational and data science resources in the Fred Hutch Office of the Chief Data Officer WILDS (Workflows Integrating Large Data and Software).
The team will ascertain HCC outcomes as well as glean data regarding race and ethnicity; health conditions like obesity, diabetes and MASLD; socioeconomic status; medications; laboratory/diagnostic tests (to determine hepatitis infection); and lifestyle behaviors such as smoking.
Solar jet lag exposure, she said, will be estimated by using a geographic information system, or GIS, that links patient geocoded residential address histories ― over time ― with their new high-resolution geospatial light exposure model.
The team’s number one aim is to quantify the association between solar jet lag exposure and HCC risk; in other words, to show through data that higher solar jet lag exposure is associated with a higher risk of developing HCC.
They also want to better understand the disparities that exist in the disease.
“We hypothesize that higher solar jet lag exposure will be more strongly associated with HCC risk among Alaska Native/American Indian and Hispanic people due to their residence in high-solar jet lag areas like Alaska and South-Central U.S.,” VoPham said. “We also believe that the higher incidence in men may in part be due to certain differences such as in time spent outdoors.”
A modifiable exposure
Since solar jet lag is a modifiable exposure, that is, people can take steps to counteract its affect, the team eventually plans to create interventions to help those who may be impacted.
Personal-level interventions could include exposure to light at appropriate times of day to reduce solar jet lag and promote circadian alignment; promoting sleep and circadian health through behavioral and environmental modifications such as limiting exposure to light at night (e.g., window shades, eye masks); optimizing sleep timing, duration, and regularity; and limiting the use of devices that emit blue-enriched light at night.
Findings could also lead to policy-level interventions to reduce circadian disruption, such as flexible or hybrid work hours and delayed school start times.
The American Cancer Society’s mission is to improve the lives of people with cancer and their families through advocacy, research and patient support, to ensure everyone has an opportunity to prevent, detect, treat and survive cancer.
Funding for the geospatial light exposure model came from the NIH/NIEHS P30ES007033 University of Washington Interdisciplinary Center for Exposures, Diseases, Genomics and Environment and the Fred Hutch Public Health Sciences Division.
Computational and data science resources came from the Fred Hutch Office of the Chief Data Officer WILDS (Workflows Integrating Large Data and Software, Firman, Bishop, et al. 2026. WILDS WDL Library [Version 0.1.0] [Computer software] https://github.com/getwilds/wilds-wdl-library).
Funding for this new study comes from the American Cancer Society Research Scholar Grant RSG-25-1516665-01-ESED.