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Calibrating a population-based job-exposure matrix using inspection measurements to estimate historical occupational exposure to lead for a population-based cohort in Shanghai, China.
Koh, Dong-Hee; Bhatti, Parveen; Coble, Joseph B; Stewart, Patricia A; Lu, Wei; Shu, Xiao-Ou; Ji, Bu-Tian; Xue, Shouzheng; Locke, Sarah J; Portengen, Lutzen; Yang, Gong; Chow, Wong-Ho; Gao, Yu-Tang; Rothman, Nathaniel; Vermeulen, Roel; Friesen, Melissa C.
Afiliación
  • Koh DH; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Bhatti P; Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Coble JB; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Stewart PA; 1] Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA [2] Formerly Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, now
  • Lu W; Shanghai Municipal Center for Disease Control, Shanghai, People's Republic of China.
  • Shu XO; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Ji BT; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Xue S; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Locke SJ; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Portengen L; Environmental and Occupational Health Division, Institute for Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands.
  • Yang G; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Chow WH; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Gao YT; Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People's Republic of China.
  • Rothman N; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
  • Vermeulen R; Environmental and Occupational Health Division, Institute for Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands.
  • Friesen MC; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, North Bethesda, Maryland, USA.
J Expo Sci Environ Epidemiol ; 24(1): 9-16, 2014.
Article en En | MEDLINE | ID: mdl-22910004
The epidemiologic evidence for the carcinogenicity of lead is inconsistent and requires improved exposure assessment to estimate risk. We evaluated historical occupational lead exposure for a population-based cohort of women (n=74,942) by calibrating a job-exposure matrix (JEM) with lead fume (n=20,084) and lead dust (n=5383) measurements collected over four decades in Shanghai, China. Using mixed-effect models, we calibrated intensity JEM ratings to the measurements using fixed-effects terms for year and JEM rating. We developed job/industry-specific estimates from the random-effects terms for job and industry. The model estimates were applied to subjects' jobs when the JEM probability rating was high for either job or industry; remaining jobs were considered unexposed. The models predicted that exposure increased monotonically with JEM intensity rating and decreased 20-50-fold over time. The cumulative calibrated JEM estimates and job/industry-specific estimates were highly correlated (Pearson correlation=0.79-0.84). Overall, 5% of the person-years and 8% of the women were exposed to lead fume; 2% of the person-years and 4% of the women were exposed to lead dust. The most common lead-exposed jobs were manufacturing electronic equipment. These historical lead estimates should enhance our ability to detect associations between lead exposure and cancer risk in the future epidemiologic analyses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exposición Profesional / Contaminantes Ocupacionales del Aire / Polvo / Plomo Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Expo Sci Environ Epidemiol Asunto de la revista: EPIDEMIOLOGIA / SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exposición Profesional / Contaminantes Ocupacionales del Aire / Polvo / Plomo Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Expo Sci Environ Epidemiol Asunto de la revista: EPIDEMIOLOGIA / SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos