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NO2 and Cancer Incidence in Saudi Arabia

King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442, Saudi Arabia
King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2013, 10(11), 5844-5862;
Received: 19 August 2013 / Revised: 18 October 2013 / Accepted: 23 October 2013 / Published: 4 November 2013
(This article belongs to the Special Issue Spatial Epidemiology)
PDF [940 KB, uploaded 19 June 2014]


Air pollution exposure has been shown to be associated with an increased risk of specific cancers. This study investigated whether the number and incidence of the most common cancers in Saudi Arabia were associated with urban air pollution exposure, specifically NO2. Overall, high model goodness of fit (GOF) was observed in the Eastern, Riyadh and Makkah regions. The significant coefficients of determination (r2) were higher at the regional level (r2 = 0.32–0.71), weaker at the governorate level (r2 = 0.03–0.43), and declined slightly at the city level (r2 = 0.17–0.33), suggesting that an increased aggregated spatial level increased the explained variability and the model GOF. However, the low GOF at the lowest spatial level suggests that additional variation remains unexplained. At different spatial levels, associations between NO2 concentration and the most common cancers were marginally improved in geographically weighted regression (GWR) analysis, which explained both global and local heterogeneity and variations in cancer incidence. High coefficients of determination were observed between NO2 concentration and lung and breast cancer incidences, followed by prostate, bladder, cervical and ovarian cancers, confirming results from other studies. These results could be improved using individual explanatory variables such as environmental, demographic, behavioral, socio-economic, and genetic risk factors. View Full-Text
Keywords: cancer; NO2; Saudi Arabia; ordinary least square; geographically weighted regression; geographic information system cancer; NO2; Saudi Arabia; ordinary least square; geographically weighted regression; geographic information system

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Al-Ahmadi, K.; Al-Zahrani, A. NO2 and Cancer Incidence in Saudi Arabia. Int. J. Environ. Res. Public Health 2013, 10, 5844-5862.

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