Abstract
Residents of Bangladesh are exposed to numerous chemicals due to local industries, including dyeing mills, cotton mills, and the use of biomass in daily cooking. It is, therefore, important to characterize the exposome and work to identify risk factors of exposure. We used silicone wristband passive samplers to evaluate exposure to volatile and semi-volatile organic compounds in a sample of 40 children in the Araihazar upazila of Bangladesh. We used stepwise linear regression models to determine which demographic, exposure, diet, and socioeconomic factors best predict exposure to single chemicals and classes of chemicals. Male sex at birth was associated with a decrease in the number of chemicals detected above their median concentration (β = -2.42; 95%CI: -5.24, 0.399), as was ownership of a flush toilet (β = -3.26; 95%CI: -6.61, 0.097). Increased body mass index (β = 1.81; 95%CI: 0.587, 3.03), father's smoking (β = 2.74; 95%CI: -0.0113, 5.49), and father's employment in the garment industry (β = 3.14; 95%CI: 0.209, 6.07) were each associated with an increase in the average number of chemicals detected above their median concentration. The observed results motivate future evaluation with health outcomes of these exposures.