Paper Information

We evaluated the association between pediatric thyroid cancer risk and perinatal exposure to ambient fine particulate matter (PM2.5) and outdoor artificial light at night (O-ALAN). Both are considered environmental carcinogens with evidence of thyroid function disruption, reported associations with thyroid cancer in adults, and concerns of distributive inequity. O-ALAN may also serve as a proxy for other outdoor air pollutants or urbanization.

This study provides new evidence suggesting associations between early-life exposure to PM2.5 and O-ALAN and pediatric papillary thyroid cancer. Given that O-ALAN may also represent other air pollutants or broader urbanization patterns, further research and refinements to exposure metrics are needed to disentangle these factors. https://doi.org/10.1289/EHP14849.

We observed statistically significant associations between PM2.5 exposure and papillary thyroid cancer risk overall (OR per 10-µg/m3 increase in PM2.5=1.07, 95%CI: 1.01-1.14), among the 15-19 year age group (OR=1.08; 95%CI: 1.00-1.16), and among Hispanic children (OR=1.13; 95%CI: 1.02-1.24). For O-ALAN, we observed statistically significantly increased odds of papillary thyroid cancer in higher exposure tertiles compared to the reference tertile in the overall population (tertile 2: OR=1.25, 95%CI 1.04-1.50; tertile 3: OR=1.23, 95%CI: 1.02-1.50) and when modeled as a continuous variable (OR 1.07 per 1 mcd/m2). In age-stratified analyses, significant associations were observed among the 15-19-year-old age group, but not the 0-14-year-old group. No significant differences were found by race/ethnicity.

Pediatric thyroid cancer incidence has been increasing globally, with environmental exposures being a hypothesized risk factor.

We conducted a case-control study of papillary thyroid cancer nested within a California birth cohort that included 736 cases diagnosed at 0-19 years and born in 1982-2011 and 36,800 controls frequency-matched on birth year. We assigned individual-level exposures for residence at birth for ambient PM2.5 concentrations from a validated, ensemble-based prediction model and O-ALAN using the New World Atlas of Artificial Night Sky Brightness. We calculated odds ratios (OR) and 95% confidence intervals (CI) using logistic regression adjusting for potential confounders and stratified by age and race/ethnicity.