Proximity to Oil Refineries and Risk of Cancer: A Population-Based Analysis

Author:

Williams Stephen B1ORCID,Shan Yong1,Jazzar Usama1,Kerr Preston S1ORCID,Okereke Ikenna2,Klimberg V Suzanne3,Tyler Douglas S4,Putluri Nagireddy5,Lopez David S6ORCID,Prochaska John D6,Elferink Cornelis7,Baillargeon Jacques G8,Kuo Yong-Fang8,Mehta Hemalkumar B49

Affiliation:

1. Department of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA

2. Department of Surgery, Division of Thoracic Surgery, The University of Texas Medical Branch, Galveston, TX, USA

3. Department of Surgery, Division of Surgical Oncology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

4. Department of Surgery, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

5. Department of Molecular and Cellular Biology, Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA

6. Department of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

7. Department of Pharmacology and Toxicology, Center for Environmental Toxicology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

8. Department of Medicine, Division of Epidemiology, Sealy Center on Aging, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

9. Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA

Abstract

Abstract Background The association between proximity to oil refineries and cancer rate is largely unknown. We sought to compare the rate of cancer (bladder, breast, colon, lung, lymphoma, and prostate) according to proximity to an oil refinery in Texas. Methods A total of 6 302 265 persons aged 20 years or older resided within 30 miles of an oil refinery from 2010 to 2014. We used multilevel zero-inflated Poisson regression models to examine the association between proximity to an oil refinery and cancer rate. Results We observed that proximity to an oil refinery was associated with a statistically significantly increased risk of incident cancer diagnosis across all cancer types. For example, persons residing within 0-10 (risk ratio [RR] = 1.13, 95% confidence interval [CI] = 1.07 to 1.19) and 11-20 (RR = 1.05, 95% CI = 1.00 to 1.11) miles were statistically significantly more likely to be diagnosed with lymphoma than individuals who lived within 21-30 miles of an oil refinery. We also observed differences in stage of cancer at diagnosis according to proximity to an oil refinery. Moreover, persons residing within 0-10 miles were more likely to be diagnosed with distant metastasis and/or systemic disease than people residing 21-30 miles from an oil refinery. The greatest risk of distant disease was observed in patients diagnosed with bladder cancer living within 0-10 vs 21-30 miles (RR = 1.30, 95% CI = 1.02 to 1.65), respectively. Conclusions Proximity to an oil refinery was associated with an increased risk of multiple cancer types. We also observed statistically significantly increased risk of regional and distant/metastatic disease according to proximity to an oil refinery.

Funder

Department of Defense Peer Reviewed Cancer Research Program Career Development Award

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

Reference38 articles.

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