Estimation of exposure to particulate matter in pregnant individuals living in an area of unconventional oil and gas operations: Findings from the EXPERIVA study
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作者:
Caron-Beaudoin, Elyse
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Univ Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, Canada
Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON, Canada
Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
Univ British Columbia, Ctr Clin Epidemiol & Evaluat, Vancouver, BC, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, Canada
Caron-Beaudoin, Elyse
[1
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Subramanian, Amrita
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Univ Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, Canada
Subramanian, Amrita
[1
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Daley, Coreen
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Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, Canada
Daley, Coreen
[2
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Lakshmanan, Siddharthan
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Univ Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Toronto, ON, Canada
Northeastern British Columbia (Canada) is an area of oil and gas exploitation, which may result in release of fine (PM2.5) and inhalable (PM10) particulate matter. The aims of this study were to: 1) apply extrapolation methods to estimate exposure to PM2.5 and PM10 concentrations among EXPERIVA (Exposures in the Peace River Valley study) participants using air quality data archives; and 2) conduct exploratory analyses to investigate correlation between PM exposure and metrics of oil and gas wells density, proximity, and activity. Gestational exposure to PM2.5 and PM10 of the EXPERIVA participants (n = 85) was estimated by averaging the concentrations measured at the closest or three closest air monitoring stations during the pregnancy period. Drilling metrics were calculated based upon the density and proximity of conventional and unconventional oil and gas wells to each participant's residence. Phase-specific metrics were determined for unconventional wells. The correlations (rho) between exposure to PM2.5 and PM10 and metrics of well density/proximity were determined using Spearman's rank correlation test. Estimated PM ambient air concentrations ranged between 4.73 to 12.13 mu g/m(3) for PM2.5 and 7.14 to 26.61 mu g/m(3) for PM10. Conventional wells metrics were more strongly correlated with PM10 estimations (rho between 0.28 and 0.79). Unconventional wells metrics for all phases were positively correlated with PM2.5 estimations (rho between 0.23 and 0.55). These results provide evidence of a correlation between density and proximity of oil and gas wells and estimated PM exposure in the EXPERIVA participants.
机构:
Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Dept Phys & Environm Sci, Scarborough, ON, Canada
Copes, Ray
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Frohlich, Katherine L.
Dokkie, Dean
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West Moberly First Nations, Moberly Lake, BC, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Dept Phys & Environm Sci, Scarborough, ON, Canada
Dokkie, Dean
Juul, Sonje
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Univ Calgary, Cumming Sch Med, Community Hlth Sci, Calgary, AB, CanadaUniv Toronto Scarborough, Dept Hlth & Soc, Dept Phys & Environm Sci, Scarborough, ON, Canada
机构:
Wuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Liang, Wei
Li, Ruihan
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Wuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Li, Ruihan
Chen, Gongbo
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Monash Univ, Sch Publ Hlth & Prevent Med, Climate Air Qual Res Unit, Melbourne, AustraliaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Chen, Gongbo
Ma, Hongfei
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Wuhan Ctr Dis Control & Prevent, 288 Machang Rd, Wuhan 430024, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Ma, Hongfei
Han, Aojing
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Wuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Han, Aojing
Hu, Qilin
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Wuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Hu, Qilin
Xie, Nianhua
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Wuhan Ctr Dis Control & Prevent, 288 Machang Rd, Wuhan 430024, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Xie, Nianhua
Wei, Jing
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Univ Maryland, Dept Atmospher & Ocean Sci, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USAWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Wei, Jing
Shen, Huanfeng
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Wuhan Univ, Sch Resource & Environm Sci, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Shen, Huanfeng
Wang, Xia
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Wuhan Ctr Dis Control & Prevent, 288 Machang Rd, Wuhan 430024, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Wang, Xia
Xiang, Hao
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Wuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China
Wuhan Univ, Global Hlth Inst, Sch Publ Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R ChinaWuhan Univ, Sch Publ Hlth, Dept Global Hlth, 115 Donghu Rd, Wuhan 430071, Peoples R China