Evidence map›Paper›PMID 42570062›Full record

ArticleEuropean journal of epidemiology2026

Proximity to nuclear power plants and total mortality risk in the USA during 2000-2018.

Yazan Alwadi, Sitara Leili Kandula Sastry, Ernani F Choma, Carolina L Zilli Vieira, Brent Coull, Murray A Mittleman, Antonella Zanobetti, Yaguang Wei, Joel Schwartz, Petros Koutrakis

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Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yazan AlwadiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA. yazan_alwadi@fas.harvard.edu.ORCID http://orcid.org/0000-0003-0804-7180
Sitara Leili Kandula SastryDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Ernani F ChomaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Carolina L Zilli VieiraDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Brent CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Murray A MittlemanDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Antonella ZanobettiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Yaguang WeiDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear power plants (NPPs) are a major source of electricity in the United States, yet concerns persist regarding potential health effects of chronic low-level radiation exposure among nearby populations. Evidence on population-level mortality impacts remains limited. To evaluate the association between long-term exposure to NPPs and all-cause mortality across U.S. counties from 2000 to 2018. A proximity-based exposure was calculated as the sum of inverse distances from each county's population centroid to all active nuclear power plants within 200 km for each year and averaged over a 20-year moving window to account for latency. Using aggregated county-level data in an ecological framework across the United States, associations between nuclear power plant proximity and age- and sex-specific all-cause mortality were estimated using Poisson regression models within a generalized estimating equations (GEE) framework, adjusted for county-level covariates. Positive associations between NPP proximity and all-cause mortality were concentrated in middle- and older-age groups. The largest effect estimates were observed among females aged 55-64 (β = 0.834, 95% CI 0.508, 1.160) and males aged 65-74 (β = 0.757, 95% CI 0.456, 1.058). Coefficients are reported on the log-relative risk scale, corresponding to the change in mortality per one-unit increase in the NPP proximity metric. Based on these associations, if we assumed a causal framework we would attribute approximately 390,000 deaths (95% CI 190,000-590,000), corresponding to 1.7% (95% CI 0.8%-2.6%) of total U.S. mortality in the included counties during the study period, were associated with NPP proximity. In this national analysis, long-term proximity to NPPs was associated with higher all cause mortality. These findings suggest that even low-level exposures may have measurable population health impacts and warrant further investigation.

Indexed as

Environmental ExposureMortalityNuclear Power PlantsRadiation ExposureAgedFemaleHumansMaleMiddle AgedUnited StatesAll-cause mortalityEnvironmental epidemiologyEnvironmental HealthNuclear power plants (NPP)Radiation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.