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Geographical Variation of COPD Mortality and Related Risk Factors in Jiading District, Shanghai

Bibliographic Data

ID22068872
AuthorsQian Peng (0009-0006-3915-907X), Na Zhang (0000-0001-8065-3412, Fudan University), Hongjie Yu (0000-0002-6335-5648), Yueqin Shao (0000-0002-5549-8454), Ying Ji (0000-0001-5957-2204), Yaqing Jin, Peisong Zhong, Yiying Zhang (0000-0001-9092-0000), Honglin Jiang (0000-0001-8815-0780, Fudan University), Chunlin Li (0000-0002-1987-7174, Fudan University), Ying Shi (0000-0002-5310-4781, Fudan University), Yingyan Zheng (0000-0002-6841-4563, Fudan University), Ying Xiong (0000-0003-4890-8715, Fudan University), Zhengzhong Wang (0009-0002-3842-1348, Fudan University), Feng Jiang (0000-0001-7369-9498, Fudan University), Yue Chen (0000-0001-9582-590X, University of Ottawa), Qingwu Jiang (0000-0001-8921-3317, Fudan University), Yibiao Zhou (0000-0002-4635-0802, Fudan University, corresponding author)
Year2021
Volume9
Pages627312-627312
Publication date2021-02-03
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.627312
PMID33614588
OpenAlexW3126675220
LanguageEN
Citations received1
References cited34

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

Cause of death · China · COPD · Disease · Environmental health · Geography · Logistic regression · Mortality rate · Pulmonary disease · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Health disparities and outcomes · Medicine · Internal Medicine

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Citations per year0.2
Citation span2021 - 2021 (1)
Highly citedNo

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