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Peng Q, Zhang N, Yu H, Shao Y, Ji Y, Jin Y, Zhong P, Zhang Y, Jiang H, Li C, Shi Y, Zheng Y, Xiong Y, Wang Z, Jiang F, Chen Y, Jiang Q, Zhou Y. Geographical Variation of COPD Mortality and Related Risk Factors in Jiading District, Shanghai. Front Public Health 2021; 9:627312. [PMID: 33614588 PMCID: PMC7888271 DOI: 10.3389/fpubh.2021.627312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/06/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death in China. Although numerous studies have been conducted to determine the risk factors for COPD mortality such as ambient air pollution, the results are not fully consistent. Methods: This study included mortality analysis and a case-control design by using the data extracted from the Mortality Registration System in Jiading District, Shanghai. Traditional logistic regression, geographically weighted logistic regression (GWLR), and spatial scan statistical analysis were performed to explore the geographic variation of COPD mortality and the possible influencing factors. Results: Traditional logistic regression showed that extreme lower temperature in the month prior to death, shorter distance to highway, lower GDP level were associated with increased COPD mortality. GWRL model further demonstrated obvious geographical discrepancies for the above associations. We additionally identified a significant cluster of low COPD mortality (OR = 0.36, P = 0.002) in the southwest region of Jiading District with a radius of 3.55 km by using the Bernoulli model. The geographical variation in age-standardized mortality rate for COPD in Jiading District was explained to a certain degree by these factors. Conclusion: The risk of COPD mortality in Jiading District showed obvious geographical variation, which were partially explained by the geographical variations in effects of the extreme low temperature in the month prior to death, residential proximity to highway, and GDP level.
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Affiliation(s)
- Qian Peng
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Na Zhang
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Hongjie Yu
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Yueqin Shao
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Ying Ji
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Yaqing Jin
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Peisong Zhong
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Yiying Zhang
- Jiading District Center for Disease Control and Prevention, Shanghai, China
| | - Honglin Jiang
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Chunlin Li
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Ying Shi
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yingyan Zheng
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Ying Xiong
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Zhengzhong Wang
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Feng Jiang
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yue Chen
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Qingwu Jiang
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
| | - Yibiao Zhou
- Fudan University School of Public Health, Shanghai, China.,Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China.,Fudan University Center for Tropical Disease Research, Shanghai, China
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