Synergistic Effects of Particle Radioactivity (Gross β Activity) and Particulate Matter ≤2.5 μm Aerodynamic Diameter on Cardiovascular Disease Mortality

Abstract

Background Although the effects of fine particulate matter (particulate matter ≤2.5 μm aerodynamic diameter [PM 2.5 ]) on cardiovascular disease (CVD) morbidity and mortality are well established, little is known about the CVD health effects of particle radioactivity. In addition, there are still questions about which of the PM 2.5 physical, chemical, or biological properties are mostly responsible for its toxicity. Methods and Results We investigated the association between particle radioactivity, measured as gross β activity from highly resolved spatiotemporal predictions, and mortality for CVD, myocardial infarction, stroke, and all‐cause nonaccidental mortality in Massachusetts (2001–2015). Within both difference‐in‐differences model and generalized linear mixed model frameworks, we fit both single‐exposure and 2‐exposure models adjusting for PM 2.5 and examined the interaction between PM 2.5 and gross β activity. We found significant associations between gross β activity and PM 2.5 and each mortality cause. Using difference‐in‐differences and adjusting for PM 2.5 , we found the highest associations with myocardial infarction (rate ratio, 1.16 [95% CI, 1.08–1.24]) and stroke (rate ratio, 1.11 [95% CI, 1.04–1.18]) for an interquartile range increase (0.055 millibecquerels per cubic meter) in gross β activity. We found a significant positive interaction between PM 2.5 and gross β activity, with higher associations between PM 2.5 and mortality at a higher level of gross β activity. We also observed that the associations varied across age groups. The results were comparable between the 2 statistical methods also with and without adjusting for PM 2.5 . Conclusions This is the first study that, using highly spatiotemporal predictions of gross β‐activity, provides evidence that particle radioactivity increases CVD mortality and enhances PM 2.5 CVD mortality. Therefore, particle radioactivity can be an important property of PM 2.5 that must be further investigated. Addressing this important question can lead to cost‐effective air‐quality regulations.

Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regression and machine learning models

“…Gamma radiation, a high-energy electromagnetic wave, is produced by nuclear reactions and has strong penetrative capabilities; therefore, external exposure can cause significant harm. For example, recent studies have shown that known associations between fine particulate matter (PM 2.5 ) and health are modified by gross activity (a measure of the counts of ray per unit time) (Blomberg et al, 2019 ; Dong et al, 2022 ). In the present study, we leverage statistical and ML methods to simultaneously consider the effects of background radiation levels (gamma radiation emitted from airborne radioactive particles and indoor radon gas), PM 2.5 exposure, and other social and behavioral factors on county-level lung cancer rates.…”