Assessment of occupational exposures is a crucial factor in evaluating dose-response relationships and most studies conducted by the Branch have an extensive exposure assessment component. Major assessment efforts in cohort studies have involved exposures to pesticides, benzene, and diesel exhaust fumes, and to a broad range of exposures in a cohort study of women in Shanghai and shipyard workers. In the case-control design, jobs have been evaluated for a wide variety of exposures, including solvents (including chlorinated hydrocarbons, aromatic, and other solvents), metals (arsenic, chromium, cadmium, lead), electromagnetic fields, polychlorinated biphenyls, dusts (wood dust and other types) , asbestos, formaldehyde, physical activity, nitrosoamines, polycyclic aromatic hydrocarbons, oil mists, gasoline and diesel exhausts, aromatic amines, and pesticides. These exposures have been evaluated in studies of cancer of the stomach, esophagus, bladder, brain, nasopharynx, lung, larynx, mouth, tongue and pharynx, and the lymphatic and hemtopoietic system, and of childhood brain cancer, germ cell tumor cancer, leukemia, and Ewings sarcoma and possible associations with parental occupations. Methodologic studies are also conducted to improve exposure assessment techniques and to understand exposure patterns. A study is being conducted in Shanghai to evaluate assessments made from detailed occupational questionnaires with air measurements. A report describing the exposure assessment procedures for evaluating EMF exposures in a brain cancer case-control study is underway. Reports describing the occurrences of pesticides, chlorinated and aromatic solvents, wood dust, and nitrosoamines are being prepared. Detailed questionnaires have been developed for two case-control studies: a kidney cancer study in the US and a bladder cancer study in New England. A comparison of assessments to pesticides is being compared to pesticide metabolites in the urine. Important determinants of exposure to 2,4-D are being evaluated using urinary levels. Comparisons of various exposure assessments methods are being made.

Agency
National Institute of Health (NIH)
Institute
Division of Cancer Epidemiology And Genetics (NCI)
Type
Intramural Research (Z01)
Project #
1Z01CP010122-08
Application #
6952493
Study Section
(OEEB)
Project Start
Project End
Budget Start
Budget End
Support Year
8
Fiscal Year
2003
Total Cost
Indirect Cost
Name
Cancer Epidemiology and Genetics
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Friesen, Melissa C; Bassig, Bryan A; Vermeulen, Roel et al. (2017) Evaluating Exposure-Response Associations for Non-Hodgkin Lymphoma with Varying Methods of Assigning Cumulative Benzene Exposure in the Shanghai Women's Health Study. Ann Work Expo Health 61:56-66
Locke, Sarah J; Deziel, Nicole C; Koh, Dong-Hee et al. (2017) Evaluating predictors of lead exposure for activities disturbing materials painted with or containing lead using historic published data from U.S. workplaces. Am J Ind Med 60:189-197
Friesen, Melissa C; Shortreed, Susan M; Wheeler, David C et al. (2015) Using hierarchical cluster models to systematically identify groups of jobs with similar occupational questionnaire response patterns to assist rule-based expert exposure assessment in population-based studies. Ann Occup Hyg 59:455-66
Friesen, Melissa C; Locke, Sarah J; Chen, Yu-Cheng et al. (2015) Historical occupational trichloroethylene air concentrations based on inspection measurements from shanghai, china. Ann Occup Hyg 59:62-78
Park, D U; Friesen, M C; Roh, H S et al. (2015) Estimating retrospective exposure of household humidifier disinfectants. Indoor Air 25:631-40
DellaValle, Curt T; Purdue, Mark P; Ward, Mary H et al. (2015) Validity of expert assigned retrospective estimates of occupational polychlorinated biphenyl exposure. Ann Occup Hyg 59:609-15
Koh, Dong-Hee; Locke, Sarah J; Chen, Yu-Cheng et al. (2015) Lead exposure in US worksites: A literature review and development of an occupational lead exposure database from the published literature. Am J Ind Med 58:605-16
Wheeler, David C; Archer, Kellie J; Burstyn, Igor et al. (2015) Comparison of ordinal and nominal classification trees to predict ordinal expert-based occupational exposure estimates in a case-control study. Ann Occup Hyg 59:324-35
Friesen, Melissa C; Locke, Sarah J; Tornow, Carina et al. (2014) Systematically extracting metal- and solvent-related occupational information from free-text responses to lifetime occupational history questionnaires. Ann Occup Hyg 58:612-24
Koh, Dong-Hee; Nam, Jun-Mo; Graubard, Barry I et al. (2014) Evaluating temporal trends from occupational lead exposure data reported in the published literature using meta-regression. Ann Occup Hyg 58:1111-25

Showing the most recent 10 out of 16 publications