LOGISTIC REGRESSION MODELS OF HIGH SERUM DIOXIN LEVEL IN PEOPLE FROM MICHIGAN, USA
The University of Michigan Dioxin Exposure Study (UMDES) was motivated because of concerns about possible human exposure to dioxins discharged as a result of historical industrial activities of the Dow Chemical Company located in Midland, Michigan, USA. Because people who have serum dioxins at the upper tail of the distribution may have had exposures that are different than people in the rest of the distribution, we examined potential exposure pathways among the subjects who were in the top 5％ of the distribution of serum concentrations of TEQ, 2378-TCDD and 23478-PeCDF using logistic regression methods. For TEQ, 2378-TCDD, and 23478-PeCDF, age and gender were associated with increased odds of having a high serum concentration. Living on contaminated soil was not associated with increased odds of having high serum TEQ, 2378-TCDD or 23478-PeCDF levels. There was a strong association between living in Midland and Saginaw in the 1960s- 1970s and high serum TEQ and 2378-TCDD, for which the odds ratios were 1.09/year and 1.096/year, respectively. Working at Dow (for TEQ) and fishing in the Saginaw River/Bay more than once /month after 1980 (for TEQ and 23478-PeCDF) were also associated with high serum levels.
Jiang X Chen Q Garabrant D Hong B Gillespie B Lepkowski J Franzblau A Adriaens P Demond A
Risk Science Center and Department of Environmental Health Sciences,University of Michigan School of Department of Biostatistics,University of Michigan School of Public Health,109 S Observatory,Ann Arb Survey Research Center,Institute for Social Research,University of Michigan,426 Thompson Street,Ann Department of Civil and Environmental Engineering,University of Michigan College of Engineering,1351
国际会议
北京
英文
1-6
2009-08-24（万方平台首次上网日期，不代表论文的发表时间）