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Record W3210839661 · doi:10.1136/oem-2021-epi.15

O-461 Occupational solar ultraviolet radiation and breast cancer risk in Canada

2021· article· en· W3210839661 on OpenAlexaffabout
Sareena McDonald, Cheryl Peters, Dylan E. O’Sullivan, Will D. King, Darren Brenner

Bibliographic record

VenueOral Presentations · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsQueen's University
Fundersnot available
KeywordsBreast cancerMedicineCohortHazard ratioCohort studyEnvironmental healthJob-exposure matrixCancerConfoundingProportional hazards modelConfidence intervalOncologyGynecologyInternal medicinePopulation

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Solar ultraviolet radiation (UVR) has potential protective, and confirmed detrimental effects on cancer risk. Several studies have examined recreational sun exposure in relation to breast cancer risk, and a recent meta-analysis found that moderate sun exposure (1–2 hrs/day) was associated with a decreased risk of breast cancer. Only one previous study in Canada has investigated UVR and breast cancer risk in an occupational setting. <h3>Objectives</h3> The primary objective is to investigate the relationship between occupational solar UVR and breast cancer risk in Canada to inform on the dose-response relationship at the high end of the solar UVR spectrum. <h3>Methods</h3> Questionnaire data from the Canadian Partnership for Tomorrow’s Health (CanPath) will be utilized for participants in Ontario, Quebec, and Alberta. Information on sun exposure, longest job held, and breast cancer risk factors were obtained at baseline. Cancer outcomes have been ascertained via linkage with provincial cancer registries. A case-cohort approach was employed to facilitate job coding. Jobs codes were linked to a job exposure matrix (SUNJEM) to assign exposure. Breast cancer risk estimates (hazard ratios [HR]) and 95% confidence intervals (CI) will be estimated using a weighted Cox proportional hazard’s regression with Prentice weights, controlling for potential confounders. <h3>Results</h3> Preliminary results are available from the Ontario cohort, the analyses of additional cohorts are currently underway. From the underlying Ontario cohort 1,213 breast cancer cases met eligibility criteria. In the random sample of 2,500 women selected for the sub-cohort, the prevalence of occupational exposure (&gt;2 hrs/day) to solar UVR was less than 2%. Preliminary HRs [0.995 (95%CI 0.684, 1.448)] suggest that occupational UVR does not have a protective or detrimental effect on the risk of breast cancer for Canadian women. <h3>Conclusion</h3> This will be the second study to examine the relationship between occupational sun exposure and breast cancer risk in Canada, and the first to examine the dose-response relationship.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.013
GPT teacher head0.278
Teacher spread0.264 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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