Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada; Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada.
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada; Faculty of Arts and Sciences, Aga Khan University, Nairobi, Kenya, Karachi, Pakistan.
Environ Res. 2020 Jul;186:109472. doi: 10.1016/j.envres.2020.109472. Epub 2020 Apr 8.
We assessed the association of spatiotemporal hot spots of critically ill small for gestational age (ciSGA) newborns and industrial air emissions. Using neonatal admission data from the Canadian Neonatal Network between 2006 and 2010 (n = 32,836 infants), we aggregated maternal residential postal codes from nineteen census metropolitan areas (CMA) into space-time cubes and applied emerging hot spot analyses. Using National Pollutant Release Inventory data (n = 161 chemicals) and Environment Canada weather station data (n = 19 sites), we estimated monthly wind-dispersion of air emissions and calculated hot spots. We associated the patterns using logistic regression, with covariates for low socioeconomic status, NO pollution, and number of infants. A total of 5465 infants were identified as ciSGA and the larger CMAs had more and larger hot spots (i.e. accumulation of events in space and time). Seventy-eight industrial chemical hot spots were associated with ciSGA hot spots. The highest number of positive associations were for 28 different pollutants, which differed by CMA. Twenty-one were known or suspected developmental toxicants, such as particulate matter, carbon monoxide, heavy metals, and volatile organic compounds. Associations with hot spots of industrial chemical emissions were geographically specific and may help explain the space-time trends of ciSGA.
我们评估了危重新生儿(ciSGA)时空热点与工业空气排放之间的关联。利用加拿大新生儿网络在 2006 年至 2010 年期间(n=32836 名婴儿)的新生儿入院数据,我们将 19 个大都市地区(CMA)的产妇居住邮政编码汇总到时空立方中,并应用新兴热点分析。利用国家污染物排放清单数据(n=161 种化学物质)和加拿大环境部气象站数据(n=19 个站点),我们估计了每月空气排放的风向分散,并计算了热点。我们使用逻辑回归来关联这些模式,同时考虑了低社会经济地位、NO 污染和婴儿数量等协变量。共有 5465 名婴儿被确定为 ciSGA,较大的 CMA 有更多和更大的热点(即事件在空间和时间上的积累)。78 个工业化学热点与 ciSGA 热点相关。阳性关联数量最多的是 28 种不同的污染物,这些污染物因 CMA 而异。其中 21 种是已知或疑似发育毒性物质,如颗粒物、一氧化碳、重金属和挥发性有机化合物。与工业化学排放热点的关联具有地域特异性,可能有助于解释 ciSGA 的时空趋势。