The significant association between prostate cancer risk and exposure to DDT (OR = 1.68; 95% CI: 1.04-2.70 for high exposure), simazine (OR = 1.89; 95% CI: 1.08-3.33 for high exposure), and lindane (OR = 2.02; 95% CI: 1.15-3.55 for high exposure) is in keeping with those previously reported in the literature. We also observed a significant excess risk for several active ingredients that have not been previously reported in the literature such as dichlone, dinoseb amine, malathion, endosulfan, 2,4-D, 2,4-DB, and carbaryl. Some findings in our study were not consistent with those reported in the literature, including captan, dicamba, and diazinon. It is possible that these findings showed a real association and the inconsistencies reflected differences of characteristics between study populations.

Personal monitoring studies have indicated that environmental tobacco smoke ( ETS ) and cooking are major indoor particulate sources in residential and nonindustrial environments. Continuous monitoring of fine particles improves exposure assessment by characterizing the effect of time -varying indoor sources. We evaluated a portable nephelometer as a continuous monitor of indoor particulate levels. Simultaneous sampling with the nephelometer and PM 2.5 impactors was undertaken to determine the relationship between particle light scattering extinction coefficient ( sp ) and particle mass concentration in field and environmental chamber settings. Chamber studies evaluated nephelometer measurements of ETS and particles produced from toasting bread and frying foods. Field measurements were conducted in 20 restaurants and bars with different smoking restrictions, and in five residential kitchens. Additional measurements compared the nephelometer to a different mass measurement method, a piezobalance, in a well -characterized residence where various foods were cooked and ETS was produced. Since the piezobalance provides 2 -min average mass concentration measurements, these comparisons tested the ability of the nephelometer to measure transient particle concentration peaks and decay rate curves. We found that sp and particle mass were highly correlated ( R 2 values of 0.63 ± 0.98 ) over a large concentration range ( 5 ± 1600 g / m 3 ) and for different particle sources. Piezobalance and gravimetric comparisons with the nephelometer indicated similar sp vs. mass slopes ( 5.6 and 4.7 m 2 / g for piezobalance and gravimetric comparisons of ETS, respectively ) . Somewhat different sp vs. particle mass slopes ( 1.9 ± 5.6 m 2 / g ) were observed for the different particle sources, reflecting the influence of particle composition on light scattering. However, in similar indoor environments, the relationship between particle light scattering and mass concentration was consistent enough to use independent nephelometer measurements as estimates of short -term mass concentrations. A method to use nephelometer measurements to determine particulate source strengths is derived and an example application is described.

Farmers in British Columbia (BC), Canada have been shown to have unexplained elevated proportional mortality rates for several cancers. Because agricultural exposures have never been documented systematically in BC, a quantitative agricultural Job-exposure matrix (JEM) was developed containing exposure assessments from 1950 to 1998. This JEM was developed to document historical exposures and to facilitate future epidemiological studies. Available information regarding BC farming practices was compiled and checklists of potential exposures were produced for each crop. Exposures identified included chemical, biological, and physical agents. Interviews with farmers and agricultural experts were conducted using the checklists as a starting point. This allowed the creation of an initial or 'potential' JEM based on three axes: exposure agent, 'type of work' and time. The 'type of work' axis was determined by combining several variables: region, crop, job title and task. This allowed for a complete description of exposures. Exposure assessments were made quantitatively, where data allowed, or by a dichotomous variable (exposed/unexposed). Quantitative calculations were divided into re-entry and application scenarios. 'Re-entry' exposures were quantified using a standard exposure model with some modification while application exposure estimates were derived using data from the North American Pesticide Handlers Exposure Database (PHED). As expected, exposures differed between crops and job titles both quantitatively and qualitatively. Of the 290 agents included in the exposure axis; 180 were pesticides. Over 3000 estimates of exposure were conducted; 50% of these were quantitative. Each quantitative estimate was at the daily absorbed dose level. Exposure estimates were then rated as high, medium, or low based on comparing them with their respective oral chemical reference dose (RfD) or Acceptable Daily Intake (ADI). This data was mainly obtained from the US Environmental Protection Agency (EPA) Integrated Risk Information System database. Of the quantitative estimates, 74% were rated as low (< 100%) and only 10% were rated as high (>500%). The JEM resulting from this study fills a void concerning exposures for BC farmers and farm workers. While only limited validation of assessments were possible, this JEM can serve as a benchmark for future studies. Preliminary analysis at the BC Cancer Agency (BCCA) using the JEM with prostate cancer records from a large cancer and occupation study/survey has already shown promising results. Development of this JEM provides a useful model for developing historical quantitative exposure estimates where is very little documented information available.

This hierarchical coding system is designed to classify substances into successively subordinate categories on the basis of chemical, physical and biological properties. Although initially developed for occupational cancer epidemiological studies, it is general in nature and can be used for other purposes where a systematic approach is needed to catalogue or analyze large numbers of substances and/or physical properties. The coding system incorporates a multi level approach, where substances can be coded both on the basis of function and composition. On the first level, a three digit code is assigned to each substance to indicate its primary use in the occupational environment (e.g. pesticide, catalyst, adhesive). Substances can then be coded using a ten digit code to indicate structure and composition (e.g. organic molecule, biomolecule, pharmaceutical). Depending on the complexity required, analysis can incorporate the three digit code, ten digit code, or a combination of both. The approach to coding both chemical and biological agents is modeled in part after conventional approaches used by the International Union of Pure and Applied Chemists (IUPAC) and the International Union of Biochemists (IUB). Development of the coding system was initiated in the 1980's in response to a need for a system allowing analysis of individual agents as well classes or groups of substances. The project was undertaken as a collaborative venture between the BC Cancer Agency, Cancer Control Research program (then Division of Epidemiology) and the Department of Chemical and Biological Engineering at the University of British Columbia.