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Citation
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HERO ID
3862189
Reference Type
Journal Article
Title
Relationships between lung cancer incidences and air pollutants
Author(s)
Yue, S; Wang, Y; Wang, J; Chen, J
Year
2017
Is Peer Reviewed?
1
Journal
Technology and Health Care
ISSN:
0928-7329
EISSN:
1878-7401
Volume
25
Issue
S1
Page Numbers
411-422
Language
English
PMID
28582929
DOI
10.3233/THC-171344
Web of Science Id
WOS:000406157200045
Abstract
BACKGROUND:
Statistics on lung cancer incidences and air pollutants show a strong correlation between air pollutant concentrations and pulmonary diseases. And environmental effects on lung cancer incidences remain highly unknown and uncertain in China.
OBJECTIVE:
This study aims to measure the relationships between different air pollutants and lung cancer incidences in Tianjin.
METHODS:
One thusand five hundred patients across 27 districts in Tianjin were studied for lung cancer incidences. The patients had come into contact with various air pollutants such as PM2.5, PM10, SO2, NO2, CO, and O3. These pollutants were measured daily and were published via a Geographic Information System across the 27 districts of Tianjin. The air pollutant compositions of environments the patients lived in were determined using the nearest air monitoring station to the patient. And we used rough set theory to measure the relationships between different air pollutants and lung cancer incidences.
RESULTS:
Different air pollutants and combinations of pollutants impacted lung cancer incidences differently across different districts, sexes, and lung cancer types in Tianjin.
CONCLUSIONS:
Based on data analysis and interpretation, rough set theory provided data relationships that were objective and interpretable. The method is simple, general, and efficient, and lays the foundation for further applications in other cities.
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NAAQS
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ISA-Ozone (2020 Final Project Page)
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Topic Classified Epidemiology
Topic Classified Exposure
Title-Abstract Screening (SWIFT-AS) - Included
Title-Abstract Screening (SWIFT-AS) - Included
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Full-Text Screening Excluded
•
ISA-PM (2019)
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PM Cancer-Genotox
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LitSearch-NOx (2024)
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Epidemiology
Respiratory
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Litsearch – PM ISA Supplement 2021
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