Publication
Resolving uncertainty in the spatial relationships between passive benzene exposure and risk of non-Hodgkin lymphoma
Downloadable Content
- Persistent URL
- Last modified
- 02/25/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2016-03-02
- Publisher
- Elsevier
- Publication Version
- Copyright Statement
- © 2016 The Authors.
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 1877-7821
- Volume
- 41
- Start Page
- 139
- End Page
- 151
- Grant/Funding Information
- Research reported in this publication was supported in part by Dr. Switchenko’s Pam Rollins Research Award, a philanthropic award provided by the Winship Cancer Institute of Emory University, by Dr. Flowers’ National Cancer InstituteR21CA158686, and by the NIH/NCI under award number P30CA138292.
- Abstract
- Background: Benzene is a known occupational carcinogen associated with increased risk of hematologic cancers, but the relationships between quantity of passive benzene exposure through residential proximity to toxic release sites, duration of exposure, lag time from exposure to cancer development, and lymphoma risk remain unclear. Methods: We collected release data through the Environmental Protection Agency's Toxics Release Inventory (TRI) from 1989 to 2003, which included location of benzene release sites, years when release occurred, and amount of release. We also collected data on incident cases of non-Hodgkin lymphoma (NHL) from the Georgia Comprehensive Cancer Registry (GCCR) for the years 1999-2008. We constructed distance-decay surrogate exposure metrics and Poisson and negative binomial regression models of NHL incidence to quantify associations between passive exposure to benzene and NHL risk and examined the impact of amount, duration of exposure, and lag time on cancer development. Akaike's information criteria (AIC) were used to determine the scaling factors for benzene dispersion and exposure periods that best predicted NHL risk. Results: Using a range of scaling factors and exposure periods, we found that increased levels of passive benzene exposure were associated with higher risk of NHL. The best fitting model, with a scaling factor of 4 kilometers (km) and exposure period of 1989-1993, showed that higher exposure levels were associated with increased NHL risk (Level 4 (1.1-160 kilograms (kg)) vs. Level 1: risk ratio 1.56 [1.44-1.68], Level 5 (>160 kg) vs. Level 1: 1.60 [1.48-1.74]). Conclusions: Higher levels of passive benzene exposure are associated with increased NHL risk across various lag periods. Additional epidemiological studies are needed to refine these models and better quantify the expected total passive benzene exposure in areas surrounding release sites.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Public Health
- Health Sciences, Oncology
- Environmental Sciences
Tools
- Download Item
- Contact Us
-
Citation Management Tools
Relations
- In Collection:
Items
| Thumbnail | Title | File Description | Date Uploaded | Visibility | Actions |
|---|---|---|---|---|---|
|
|
Publication File - rqqd1.pdf | Primary Content | 2025-02-20 | Public | Download |