Literature DB >> 10361601

Cancer mortality in health and science technicians.

C Burnett1, C Robinson, J Walker.   

Abstract

BACKGROUND: Nearly one million U.S. women are employed as health or science technicians with various chemical and biological exposures, but few studies have looked at their health outcomes.
METHODS: Using 1984-1995 mortality data with coded occupation information, we calculated race- and age-adjusted proportionate cancer mortality ratios (PCMRs) and 95% confidence intervals for two age groups for black and white women with occupations of clinical laboratory (CLT), radiologic, and science technician.
RESULTS: For CLTs, the PCMRs for breast cancer were borderline significantly elevated. The PCMRs for leukemia were significantly elevated, particularly for myeloid leukemia. Radiologic technicians had no significantly elevated PCMRs. Science technicians had significantly elevated PCMRs for non-Hodgkin's lymphoma and multiple myeloma in the younger age group. DISCUSSION: The elevated risks for lymphatic and hematopoietic neoplasms in CLTs and science technicians may be associated with occupational exposures.

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Year:  1999        PMID: 10361601     DOI: 10.1002/(sici)1097-0274(199907)36:1<155::aid-ajim22>3.0.co;2-z

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  3 in total

1.  Risk of lymphatic or haematopoietic cancer mortality with occupational exposure to animals or the public.

Authors:  M A Svec; M H Ward; M Dosemeci; H Checkoway; A J De Roos
Journal:  Occup Environ Med       Date:  2005-10       Impact factor: 4.402

2.  Analysis of matched geographical areas to study potential links between environmental exposure to oil refineries and non-Hodgkin lymphoma mortality in Spain.

Authors:  Rebeca Ramis; Peter Diggle; Elena Boldo; Javier Garcia-Perez; Pablo Fernandez-Navarro; Gonzalo Lopez-Abente
Journal:  Int J Health Geogr       Date:  2012-02-06       Impact factor: 3.918

3.  Study of non-Hodgkin's lymphoma mortality associated with industrial pollution in Spain, using Poisson models.

Authors:  Rebeca Ramis; Enrique Vidal; Javier García-Pérez; Virginia Lope; Nuria Aragonés; Beatriz Pérez-Gómez; Marina Pollán; Gonzalo López-Abente
Journal:  BMC Public Health       Date:  2009-01-21       Impact factor: 3.295

  3 in total

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