Title: | Space-time hot spots of critically ill small for gestational age newborns and industrial air pollutants in major metropolitan areas of Canada |
Author(s): | Nielsen CC; Amrhein CG; Shah PS; Stieb DM; Osornio-Vargas AR; Canadian Neonatal N; DoMi NOT; |
Address: | "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. Department of Pediatrics and Institute of Health Policy, Management, and Evaluation, University of Toronto, Mount Sinai Hospital, Toronto, Ontario, Canada. Environmental Health Science and Research Bureau, Health Canada, Government of Canada, Vancouver, British Columbia, Canada. Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada. Electronic address: osornio@ualberta.ca" |
DOI: | 10.1016/j.envres.2020.109472 |
ISSN/ISBN: | 1096-0953 (Electronic) 0013-9351 (Linking) |
Abstract: | "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(2) 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" |
Keywords: | "*Air Pollutants/analysis *Air Pollution/analysis Canada Critical Illness Environmental Monitoring Gestational Age Humans Infant Infant, Newborn Particulate Matter/analysis Exposome Small for gestational age Space-time pattern mining Wind-directed emission;" |
Notes: | "MedlineNielsen, Charlene C Amrhein, Carl G Shah, Prakesh S Stieb, David M Osornio-Vargas, Alvaro R eng CAPMC/CIHR/Canada Research Support, Non-U.S. Gov't Netherlands 2020/04/17 Environ Res. 2020 Jul; 186:109472. doi: 10.1016/j.envres.2020.109472. Epub 2020 Apr 8" |