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8291190 Occupational exposure to ionizing radiation and cardiovascular disease mortality among nuclear power plant workers in the Canadian national dose registry

2025· article· en· W4414853070 on OpenAlexaffabout
Laura Andrea Rodríguez-Villamizar, Tim Prendergast, Lydia B. Zablotska, Philippe Prince, Paul J. Villeneuve

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsHealth Canada
Fundersnot available
KeywordsPoisson regressionEpidemiologyRelative riskCohortDiseaseRisk assessmentCohort studyConfidence intervalIonizing radiation

Abstract

fetched live from OpenAlex

Objective Findings from epidemiological studies suggest that low- to moderate ionizing radiation doses increase the risk of cardiovascular disease (CVD). However, the effects of lower doses, experienced in occupational settings, and of chronic exposures on CVD risks require further investigation. We examined the association between occupational exposure to ionizing radiation and the risk of CVD mortality among Canadian nuclear power plant (NPP) workers. Methods We assembled a retrospective cohort of 98,735 NPP workers from the Canadian National Dose Registry employed from 1961 onwards. Mortality was ascertained via record linkage to national vital statistics data through 2020. International Classification of Disease rubrics were used to classify CVD deaths based on the underlying cause of death. Whole-body dose measurements came from workplace personal monitoring. Standardized mortality ratios (SMRs) were estimated to compare the mortality experience of the NPP workers to the age-, sex- and calendar year-specific Canadian general population. Poisson regression and linear excess relative risk (ERR) models, adjusted for attained age, sex, and calendar period, were used for internal dose-response analyses. Results The mean whole-body lifetime accumulated exposure was 9.63mSv (SD=28.5). A total of 2,345 deaths from circulatory disease were identified during the follow-up, and of these, 1,440 and 340 were from ischemic heart disease and cerebrovascular disease, respectively. Compared to the general population, NPP workers had lower mortality rates with SMRs of 0.76 (95%CI: 0.73, 0.80), 0.78 (95%CI: 0.74, 0.82), and 0.79 (95%CI: 0.71, 0.88) for circulatory, ischemic heart disease, and cerebrovascular disease mortality, respectively. For cardiovascular disease (circulatory diseases excluding cerebrovascular disease), the ERR/100mSv was -0.16 (95%CI: -0.28, -0.04). Conclusion Our findings suggest that contemporary levels of occupational exposure to ionizing radiation do not increase the risk of cardiovascular mortality, but our results should be interpreted cautiously due to possible biases related to uncontrolled confounding and under-ascertainment of mortality. Funding This project was funded by Conexus Nuclear Inc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.271
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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