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Abstract
Humans can be exposed to multiple pollutants in the air and surface water. These environments are non-static, trans-boundary and correlated, creating a complex network, and significant challenges for research on environmental hazards, especially in real-world cancer research. This article reports on a large study (377 million people in 30 provinces of China) that evaluated the combined impact of air and surface water pollution on cancer. We formulate a spatial evaluation system and a common grading scale for co-pollution measurement, and validate assumptions that air and surface water environments are spatially connected and that cancers of different types tend to cluster in areas where these environments are poorer. We observe “dose–response” relationships in both the number of affected cancer types and the cancer incidence with an increase in degree of co-pollution. We estimate that 62,847 (7.4%) new cases of cancer registered in China in 2016 were attributable to air and surface water pollution, and the majority (69.7%) of these excess cases occurred in areas with the highest level of co-pollution. The findings clearly show that the environment cannot be considered as a set of separate entities. They also support the development of policies for cooperative environmental governance and disease prevention.
Dissecting the associations between exposure to environmental pollution and cancer risk remains crucial. Here, the authors evaluate the impact of air and water pollution on cancer incidence in China using a spatial evaluation system and show that most excess cancer cases occurred in areas with the highest level of co-pollution.
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1 Peking Union Medical College, Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Beijing, China (GRID:grid.506261.6) (ISNI:0000 0001 0706 7839); Peking Union Medical College, Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Beijing, China (GRID:grid.506261.6) (ISNI:0000 0001 0706 7839)
2 Peking Union Medical College, Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Beijing, China (GRID:grid.506261.6) (ISNI:0000 0001 0706 7839)
3 Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, College of Resources and Environment, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419)
4 Peking Union Medical College, Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Beijing, China (GRID:grid.506261.6) (ISNI:0000 0001 0706 7839); Institute of Basic Medical Sciences Chinese Academy of Medical Sciences & School of Basic Medicine Peking Union Medical College, State Key Laboratory of Medical Molecular Biology, Department of Biochemistry, Beijing, China (GRID:grid.506261.6) (ISNI:0000 0001 0706 7839)