Predictive MERRA-2 aerosol diagnostic model for oral, oropharyngeal and laryngeal cancer caused by air pollution in Thai population.

INTRODUCTION

Head and neck cancers were generally characterized with many possible causes. Exposure to outdoor particulate matter affected to multiple organ systems but it was unknown whether which species in PM was an association with cancer incidence.

OBJECTIVES

The study aimed to examine the oral- oropharyngeal- laryngeal cancer incidence and accumulated air pollution-related cancers in the spatial patterns.

METHODS

Observational study was conducted, and the Poisson log-linear models were used which were analyzed on subgroups-specific incidence rates by national references of Thailand and NASA's database of aerosol diagnostics model (MERRA-2).

RESULTS

With a significant influence on increasing of 1 μg/m black carbon, organic carbon, Dust-PM, and SO were associated with increased cancer risk in 1.433 times (95%CI: 1.215-1.690), 1.272 times (95%CI: 1.139-1.420), 3.640 times (95%CI: 2.011-6.589), and 1.704 times (95%CI: 1.334-2.177), respectively.

CONCLUSION

This study indicated that oral-oropharyngeal-laryngeal cancer incidence could worsen because of adverse air pollution conditions. These issues should be addressed and the importance of the monitoring procedure for dust-PM, sulfate, black carbon, and organic carbon should be emphasized.