Cancer Rates Higher Near Nuclear Plants, Study Finds – Causality Unclear
U.S. Counties located closer to nuclear power plants have shown higher cancer mortality rates in a national analysis, though researchers emphasize that the findings do not prove a causal link. The study, published March 16, 2026, in hemonc today, accounted for a range of environmental, socioeconomic, and other factors, and the association remained consistent across multiple analyses. This research arrives as nuclear power gains renewed attention as a potential low-carbon energy source, prompting calls for further investigation into its public health effects.
A National Look at Proximity and Cancer
The analysis, led by Yazan Alwadi, PhD, a postdoctoral research fellow at Harvard T.H. Chan School of Public Health, examined cancer mortality data from the Centers for Disease Control and Prevention (CDC) between 2000 and 2018. Researchers cross-referenced this data with the locations and operational dates of all nuclear power plants within 200 kilometers (approximately 124 miles) of U.S. Counties, using records from the U.S. Energy Information Administration.
The team developed a “spatially resolved, inverse distance-weighted proximity metric” to assess the cumulative impact of nearby nuclear facilities, adjusting for potential confounding variables like body mass index (BMI), smoking prevalence, household income, and educational attainment. This approach aimed to provide a more robust assessment than previous studies, many of which focused on single plants or limited geographic areas.
What the Data Suggests
The study estimated that approximately 115,586 cancer deaths (with a 95% confidence interval of 56,964-173,326) during the 19-year period could be attributed to proximity to nuclear power plants – roughly 6,400 deaths per year nationwide. The relative risk of cancer mortality appeared to increase with closer proximity to a plant, plateauing at distances greater than 50 kilometers.
Specifically, women aged 55 to 64 years exhibited the highest relative risk (RR = 1.19), with an estimated 2.1% of cancer deaths in that age group potentially linked to proximity to nuclear power plants. For men, those aged 65 to 74 years showed the highest relative risk (RR = 1.2), with approximately 2% of cancer deaths in that age group potentially attributable to the same factor. The highest overall cancer mortality burden linked to proximity was observed among individuals aged 65 to 84 years.
These findings remained consistent even after researchers adjusted for various factors and conducted sensitivity analyses, strengthening the signal observed in the data. However, Alwadi and his colleagues are careful to state that their work does not establish a direct cause-and-effect relationship.
Understanding the Limitations and Nuances
“We want to be very clear that we cannot prove causality,” Alwadi told Healio. “However, the signal we observed is very robust and consistent, and It’s surprising it has not been shown before. In my opinion, we have all the evidence we need to justify going to the next level of investigation.”
The researchers acknowledge several limitations. The analysis did not directly measure radiation exposure levels, relying instead on proximity as a proxy. It also assessed all malignancies collectively, without differentiating between cancer types that may have varying sensitivities to radiation and different latency periods. The method used to calculate attributable fraction assumes a causal relationship, which has not been definitively established.
It’s important to note that nuclear power plants operate under strict regulatory thresholds for radioactive emissions. However, the study highlights the potential for even low-level exposure during normal operations to have long-term health consequences, a question that has been debated for decades. The Nuclear Regulatory Commission (NRC) sets and enforces these standards, and routinely monitors plant emissions.
Contextualizing the Risk
Prior research on the link between nuclear power plants and cancer has yielded mixed results. Many studies have focused on the aftermath of accidents, such as Chernobyl and Fukushima, rather than the effects of routine operations. This new study attempts to address that gap by examining a national dataset over a prolonged period.
The findings have drawn some criticism, including from the Breakthrough Institute, which argues that the study confuses correlation with causation and fails to account for factors like wind direction and shielding that influence actual radiation exposure. Breakthrough Energy advocates for continued investment in nuclear power as a key component of a clean energy future.
Alwadi acknowledges these concerns but maintains that the methodology has been rigorously vetted and the results are robust. He emphasizes the need for further research to investigate potential exposure pathways and specific cancer types.
What’s Next for Research and Public Health
Alwadi and his team are continuing to analyze additional datasets and conduct cohort analyses to explore potential mechanisms linking proximity to nuclear power plants and cancer mortality. They plan to investigate latency effects and the impact on specific malignancies.
The researchers hope their work will spur further investigation into the long-term health effects of nuclear power, particularly as the industry expands and new technologies emerge. This includes a need for more precise measurements of radiation exposure and a better understanding of how different populations may be affected.
For individuals concerned about potential risks, Alwadi recommends staying informed about local and national public health updates and discussing any concerns with a qualified healthcare professional. The CDC provides information on cancer prevention and risk factors, as well as resources for finding local health services.