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NO 2 and Cancer Incidence in Saudi Arabia

Author

Listed:
  • Khalid Al-Ahmadi

    (King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442, Saudi Arabia)

  • Ali Al-Zahrani

    (King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia)

Abstract

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 NO 2 . Overall, high model goodness of fit (GOF) was observed in the Eastern, Riyadh and Makkah regions. The significant coefficients of determination (r 2 ) were higher at the regional level (r 2 = 0.32–0.71), weaker at the governorate level (r 2 = 0.03–0.43), and declined slightly at the city level (r 2 = 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 NO 2 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 NO 2 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.

Suggested Citation

  • Khalid Al-Ahmadi & Ali Al-Zahrani, 2013. "NO 2 and Cancer Incidence in Saudi Arabia," IJERPH, MDPI, vol. 10(11), pages 1-19, November.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:11:p:5844-5862:d:30139
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    References listed on IDEAS

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    1. Kamar Ali & Mark D. Partridge & M. Rose Olfert, 2007. "Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?," International Regional Science Review, , vol. 30(3), pages 300-329, July.
    2. Chia-Hsien Lin & Tzai-Hung Wen, 2011. "Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue," IJERPH, MDPI, vol. 8(7), pages 1-18, July.
    3. Stephen Matthews & Tse-Chuan Yang, 2012. "Mapping the results of local statistics," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(6), pages 151-166.
    4. Andreas Richter & John P. Burrows & Hendrik Nüß & Claire Granier & Ulrike Niemeier, 2005. "Increase in tropospheric nitrogen dioxide over China observed from space," Nature, Nature, vol. 437(7055), pages 129-132, September.
    5. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
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    Cited by:

    1. Khalid Al-Ahmadi & Ali Al-Zahrani, 2013. "Spatial Autocorrelation of Cancer Incidence in Saudi Arabia," IJERPH, MDPI, vol. 10(12), pages 1-22, December.
    2. Hanadi Al-Thani & Muammer Koç & Rima J. Isaifan & Yusuf Bicer, 2022. "A Review of the Integrated Renewable Energy Systems for Sustainable Urban Mobility," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    3. Yusuf A. Aina & Johannes H. Van der Merwe & Habib M. Alshuwaikhat, 2014. "Spatial and Temporal Variations of Satellite-Derived Multi-Year Particulate Data of Saudi Arabia: An Exploratory Analysis," IJERPH, MDPI, vol. 11(11), pages 1-15, October.
    4. Ahmad Almatroudi, 2021. "A Retrospective Cohort Study of Lung Cancer Incidences and Epidemiological Analysis in Saudi Arabian Population from 2006–2016," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    5. Jinhui Li & Zhengyi Deng & Simon John Christoph Soerensen & Linda Kachuri & Andres Cardenas & Rebecca E. Graff & John T. Leppert & Marvin E. Langston & Benjamin I. Chung, 2024. "Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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