Distance to highway and factory density related to lung cancer death and associated spatial heterogeneity in effects in Jiading District, Shanghai
This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weib...
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| Published in | Environmental science and pollution research international Vol. 28; no. 45; pp. 64536 - 64551 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0944-1344 1614-7499 1614-7499 |
| DOI | 10.1007/s11356-021-15438-5 |
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| Abstract | This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03–1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05–1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities. |
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| AbstractList | This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03–1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05–1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities. This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03-1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05-1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities.This study aimed to determine the spatial effects of traffic- and industrial-related pollution on the mortality for lung cancer (LC). We conducted a retrospective cohort study by using the data from LC registry in Jiading District for the period from 2002 to 2012. Standard parametric model with Weibull distribution was used for spatial survival analysis. Shorter distance to highway (adjusted odds ratio (aOR) = 1.15, 95% confidence interval (CI): 1.03-1.30) and higher factory density (aOR = 1.20, 95% CI: 1.05-1.37) were significantly associated with an increased risk of LC death, and there was a spatial difference in the associations between northern and southern areas of Jiading District. The risk was high in suburbs as compared with urban areas. Traffic- and industrial-related pollution were significantly associated with an increased risk of LC death, which showed a spatial variation. Further studies are needed to better understand the current LC status in the suburbs and to reduce health disparities. |
| Author | Zheng, Yingyan Wang, Zhengzhong Zhou, Yibiao Zhang, Na Zhang, Yiying Jiang, Honglin Chen, Yue Yu, Hongjie Jiang, Qingwu Xiang, Fang Wang, Yingjian Shao, Yueqin Xiong, Ying |
| Author_xml | – sequence: 1 givenname: Na surname: Zhang fullname: Zhang, Na organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 2 givenname: Yingjian surname: Wang fullname: Wang, Yingjian organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 3 givenname: Hongjie surname: Yu fullname: Yu, Hongjie organization: The Jiading District Center for Disease Control and Prevention – sequence: 4 givenname: Yiying surname: Zhang fullname: Zhang, Yiying organization: The Jiading District Center for Disease Control and Prevention – sequence: 5 givenname: Fang surname: Xiang fullname: Xiang, Fang organization: The Jiading District Center for Disease Control and Prevention – sequence: 6 givenname: Honglin surname: Jiang fullname: Jiang, Honglin organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 7 givenname: Yingyan surname: Zheng fullname: Zheng, Yingyan organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 8 givenname: Ying surname: Xiong fullname: Xiong, Ying organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 9 givenname: Zhengzhong surname: Wang fullname: Wang, Zhengzhong organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 10 givenname: Yue surname: Chen fullname: Chen, Yue organization: School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa – sequence: 11 givenname: Qingwu surname: Jiang fullname: Jiang, Qingwu organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research – sequence: 12 givenname: Yueqin surname: Shao fullname: Shao, Yueqin email: 13917574848@163.com organization: The Jiading District Center for Disease Control and Prevention – sequence: 13 givenname: Yibiao surname: Zhou fullname: Zhou, Yibiao email: z_yibiao@hotmail.com organization: Fudan University School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Fudan University Center for Tropical Disease Research |
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| Copyright | The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. |
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| Title | Distance to highway and factory density related to lung cancer death and associated spatial heterogeneity in effects in Jiading District, Shanghai |
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