Exposure to protracted low-dose ionizing radiation and incident dementia in a cohort of Ontario nuclear power plant workers
Bibliographic record
Abstract
OBJECTIVES: Emerging evidence suggests that low-dose ionizing radiation increases the risk of neurodegenerative diseases. Past studies have relied on death data to identify dementia, and these are prone to under-ascertainment and complicate the estimation of health risks as individuals tend to live with dementia for many years following onset. We present findings from the first occupational cohort to investigate dementia risk from low-dose radiation using incident outcomes. METHODS: This is a retrospective cohort of 60 874 Ontario Nuclear Power Plant workers from the Canadian National Dose Registry. Personal identifiers were linked to Ontario population-based administrative health data. Incident dementias between 1996 and 2022 were identified using a validated algorithm based on physician, hospital, and prescription drug data. Individual-level annual estimates of whole-body external ionizing radiation were derived from personal workplace monitoring. The incidence of dementia among these workers was compared to a random sample of Ontario residents matched by sex, age, and residential area. Internal cohort analysis using Poisson and linear excess relative risk (ERR) models, adjusted for sex, attained age, calendar period, and neighborhood income quintile, were used to characterize the shape of the exposure-response curve between low-dose cumulative radiation (lagged 10 years) and incident dementia. RESULTS: There were 476 incident dementias and 867 028 person-years of follow-up. The mean whole-body lifetime accumulated exposure at the end of follow-up was 11.7 millisieverts (mSv). Workers with cumulative exposure between 50-100 mSv had an increased risk of dementia [RR 1.50, 95% confidence interval (CI) 0.99-2.28] compared to those unexposed. Spline analysis suggested that the dose-response relationship was non-linear. The linear ERR per 100 mSv increase in exposure was 0.704 (95% CI 0.018-1.390). CONCLUSION: Our findings suggest that low-dose exposure to ionizing radiation increases the risk of incident dementia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".