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1,3-Butadiene and leukemia among synthetic rubber industry workers: exposure-response relationships.

https://arctichealth.org/en/permalink/ahliterature166384
Source
Chem Biol Interact. 2007 Mar 20;166(1-3):15-24
Publication Type
Article
Date
Mar-20-2007
Author
Hong Cheng
Nalini Sathiakumar
John Graff
Robert Matthews
Elizabeth Delzell
Author Affiliation
University of Alabama at Birmingham, Ryals School of Public Health, Department of Epidemiology, Birmingham, AL, USA. hcheng@ms.soph.uab.edu
Source
Chem Biol Interact. 2007 Mar 20;166(1-3):15-24
Date
Mar-20-2007
Language
English
Publication Type
Article
Keywords
Butadienes - adverse effects
Canada - epidemiology
Carcinogens - chemical synthesis - chemistry - toxicity
Chemical Industry - manpower - statistics & numerical data
Confidence Intervals
Dimethyldithiocarbamate - adverse effects
Humans
Leukemia, Lymphoid - chemically induced - epidemiology
Leukemia, Myeloid - chemically induced - epidemiology
Likelihood Functions
Male
Middle Aged
Occupational Exposure - statistics & numerical data
Proportional Hazards Models
Rubber - adverse effects - chemical synthesis - chemistry
United States - epidemiology
Abstract
Previous research updated the mortality experience of North American synthetic rubber industry workers during the period 1944-1998, determined if leukemia and other cancers were associated with several employment factors and carried out Poisson regression analysis to examine exposure-response associations between estimated exposure to 1,3-butadiene (BD) or other chemicals and cancer. The present study used Cox regression procedures to examine further the exposure-response relationship between several unlagged and lagged, continuous, time-dependent BD exposure indices (BD parts per million (ppm)-years, the total number of exposures to BD concentrations >100 ppm ("peaks") and average intensity of BD) and leukemia, lymphoid neoplasms and myeloid neoplasms. All three BD exposure indices were associated positively with leukemia. Using continuous, untransformed BD ppm-years the regression coefficient (beta) from an analysis that controlled only for age was 2.9 x 10(-4) (p
PubMed ID
17123495 View in PubMed
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