Quaid Margaret, Haque Syed Emdadul, Islam Tariqul, Shahriar Mohammad Hasan, Sarwar Golam, Ahmed Alauddin, O'Connell Steven, Jasmine Farzana, Kibriya Muhammad G, Ahsan Habibul, Argos Maria
Department of Environmental Health, School of Public Health, Boston University, Boston, MA 02118, USA.
UChicago Research Bangladesh, Dhaka 1230, Bangladesh.
Int J Environ Res Public Health. 2024 Dec 18;21(12):1691. doi: 10.3390/ijerph21121691.
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.
由于当地的工业活动，包括印染厂、棉纺厂以及日常生活烹饪中使用生物质燃料，孟加拉国居民接触到大量化学物质。因此，描绘暴露组特征并努力识别暴露风险因素非常重要。我们使用硅胶腕带被动采样器，对孟加拉国阿拉伊扎尔乌帕齐拉的40名儿童样本中的挥发性和半挥发性有机化合物暴露情况进行了评估。我们使用逐步线性回归模型来确定哪些人口统计学、暴露、饮食和社会经济因素能够最佳预测单一化学物质和化学物质类别暴露情况。出生时为男性与检测到的高于中位数浓度的化学物质数量减少相关（β = -2.42；95%置信区间：-5.24，0.399），拥有冲水马桶也与之相关（β = -3.26；95%置信区间：-6.61，0.097）。体重指数增加（β = 1.81；95%置信区间：0.587，3.03）、父亲吸烟（β = 2.74；95%置信区间：-0.0113，5.49）以及父亲在服装行业工作（β = 3.14；95%置信区间：0.209，6.07）均与检测到的高于中位数浓度的化学物质平均数量增加相关。观察结果促使我们未来对这些暴露的健康后果进行评估。
