Regional interaction of lung cancer incidence influenced by PM2.5 in China

Jiqun Wen; Xiaowei Chuai; Runyi Gao; Baoxin Pang

doi:10.1016/j.scitotenv.2021.149979

Regional interaction of lung cancer incidence influenced by PM_2.5 in China

Sci Total Environ. 2022 Jan 10:803:149979. doi: 10.1016/j.scitotenv.2021.149979. Epub 2021 Aug 28.

Authors

Jiqun Wen¹, Xiaowei Chuai², Runyi Gao³, Baoxin Pang⁴

Affiliations

¹ School of Public Administration, Guangdong University of Finance and Economics, Guangzhou 510320, Guangdong Province, China.
² School of Geography & Ocean Science, Nanjing University, Nanjing 210023, Jiangsu Province, China. Electronic address: chuaixiaowei@163.com.
³ School of Geography & Ocean Science, Nanjing University, Nanjing 210023, Jiangsu Province, China.
⁴ Department of Philosophy, Nanjing University, Nanjing 210023, Jiangsu Province, China; School of Geography & Ocean Science, Nanjing University, Nanjing 210023, Jiangsu Province, China.

PMID: 34487906
DOI: 10.1016/j.scitotenv.2021.149979

Abstract

PM_2.5 is the key pollutant threatening human health and can even cause lung cancer. Pollution is the most serious problem in China with its fast industrialisation, urbanisation and high population density. This pollutant is conveyed through the atmosphere, trade and the embodied emission flow amongst regions. Scientific evaluation of the responsibility for regional lung cancer by considering both internal and external influences seems to be meaningful in addressing regional inequity. This study develops a relatively convenient and practical method to evaluate the regional inequity reflected by lung cancer associated with PM_2.5 pollution in China. Results show that PM_2.5 emissions and concentrations have similar distribution patterns: high values were predominant in the east and south where has high population density, while the west had low values. The cancer incidence rate showed high values mainly in eastern and central China. At a provincial scale, the lung cancer incidence rate was significantly correlated with PM_2.5 concentration levels, and a high correlation was also found between PM_2.5 concentration and emissions, indicating that emission reduction is the key to lung cancer prevention. Due to domestic trade, some developed regions more pulled lung cancer in less developed regions, and some less developed regions also have an obvious influence on external regions. Spatially, provinces in northern and central China are always more influenced by external regions. Lung cancer inequity analysis shows that coastline regions are more advantaged, while the reverse applies to inland China. The central government needs to further strengthen regional coordinated development measures, such as economic compensation for medical care and adjustments to industry structure. It should optimise spatial allocation and comprehensively consider regional inequity and character.

Keywords: Lung cancer temporal-spatial changes; PM(2.5) concentrations; PM(2.5) emissions; Regional inequity.

MeSH terms

Air Pollutants* / analysis
Air Pollution* / analysis
China / epidemiology
Environmental Monitoring
Humans
Incidence
Lung Neoplasms* / epidemiology
Particulate Matter / analysis

Substances

Air Pollutants
Particulate Matter