Artificial light at night (ALAN), blue light spectrum exposure and colorectal cancer risk in Spain (MCC-Spain study)
Bibliographic record
Abstract
TPS 782: Health effects of emf, radiation and light, Johan Friso Foyer, Floor 1, August 28, 2019, 3:00 PM - 4:30 PM Background/Aim. Night shift work, exposure to artificial light-at-night (ALAN) and the consequent circadian disruption may increase the risk of breast and prostate cancer. Recent studies have also identified increased risk of colorectal cancer among night shift workers. We have previously shown that exposure to blue light spectrum was associated with an increased risk for breast and prostate cancer. We evaluated the association of exposure to ALAN during sleeping time, focusing on blue light spectrum, with colorectal cancer among subjects who had never worked at night in a general population case-control study in Spain (MCC-Spain). Methods. We examined information on 528 incident histologically confirmed colorectal cancer cases and 960 controls from Barcelona and Madrid, 2007-2013. Outdoor-ALAN, based on images from the International Space Station (Earth Science and Remote Sensing Unit, NASA Johnson Space Centre https://eol.jsc.nasa.gov) including data on remotely sensed upward light intensity and blue light spectrum, was assigned to participants’ geocoded longest residence (average >30 yrs). We calculated the melatonin suppression index (MSI) for each pixel of the image that estimates the percentage of outdoor blue light spectrum exposure. We derived odds ratios (ORs) and 95% confidence intervals (CIs) from logistic regression models adjusting for potential confounders. Results. Exposure to blue light spectrum was positively associated with colorectal cancer (OR=1.89; 95%CI: 1.4-2.6; highest vs. lowest tertile) adjusting for area, age, sex and education. ORs were similar when further adjusting for area socioeconomic status, sleep, smoking, diet and cancer family history. ORs were slightly higher for colon as compared to rectal cancer and were similar when including ever night-shift workers. Outdoor visual light (full spectrum) was inversely associated with colorectal cancer (OR = 0.58, 95%CI: 0.4-0.8). Conclusions. Outdoor blue enriched light spectrum, an increasingly prevalent exposure in recent years, may be associated with colorectal cancer risk in the general population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".