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Exposure-response relation for occupational exposure to respirable quartz and lung cancer risk: Performance of a quantitative vs a semiquantitative job-exposure matrix

  • Susan Peters
  • , Roel Vermeulen
  • , Lutzen Portengen
  • , Ann Olsson
  • , Heinz-Erich Wichmann
  • , Irene Brüske
  • , Dario Consonni
  • , Andrea Cattaneo
  • , Pier Alberto Bertazzi
  • , Jack Siemiatycki
  • , Lorenzo Richiardi
  • , Dario Mirabelli
  • , Lorenzo Simonato
  • , Per Gustavsson
  • , Karl-Heinz Jöckel
  • , Wolfgang Ahrens
  • , Hermann Pohlabeln
  • , Paolo Boffetta
  • , Paul Brennan
  • , Francesco Forastiere
  • Isabelle Stücker, Simone Benhamou, Bas Bueno-De-Mesquita, Nils Plato, Jérôme Lavoué, Dirk Dahmann, Joelle Fevotte, Benjamin Kendzia, Raymond Vincent, Barbara Savary, Domenico Cavallo, Beate Pesch, Thomas Brüning, Kurt Straif, Hans Kromhout
    • Int Agcy Res Canc IARC WHO
    • Institut für Epidemiologie i
    • University of Milan - Bicocca
    • University of Montreal
    • University of Turin
    • University of Padova
    • Karolinska Institutet
    • University of Duisburg-Essen
    • Bremen Institute for Prevention Research and Social Medicine
    • Tisch Cancer Institute
    • Department of Epidemiology
    • INSERM, IBV, UMR 1091
    • RIVM en College Ter Beoordeling Van Geneesmiddelen
    • IGF-BG
    • French Institute for Public Health Surveillance (InVS)
    • Institute of the Ruhr-Universitä T Bochum (IPA)
    • INRS
    • Università Degli Studi Dell'Insubria

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Objectives In order to estimate the exposure-response relation of respirable quartz and lung cancer risk, we developed a quantitative time/job/region specific job-exposure matrix (JEM) based on statistical modelling of historical exposure data. We compared the performance of this quantitative JEM (SYN-JEM) with an already available semi-quantitative general population JEM (DOM-JEM) within a study of pooled community- based lung cancer case-control studies (SYNERGY). Methods Detailed lifetime occupational and smoking history was available for 13 259 cases and 16 232 controls from 11 case-control studies from 12 European countries and Canada. Occupational histories were linked with SYN-JEM and DOMJEM to derive estimates of cumulative exposure. ORs for lung cancer were estimated using unconditional logistic regression adjusted for age, gender, study, cigarette pack-years, timesince- quitting smoking, and ever occupational exposure to five other known lung carcinogens. Results Exposure to respirable quartz was associated with a monotonic increase in risk of lung cancer. Cumulative exposure estimates based on the quantitative SYN-JEM ranged from 0.005 to 104 mg/m3-years. Quartiles of cumulative exposure (categorised using the exposure distribution among exposed controls) showed significant elevated risks ranging from 1.16 to 1.40. SYN-JEM did not perform better than the ordinal DOM-JEM which provided similar ORs. Conclusions We found a positive exposure-response association between occupational exposure to respirable quartz and lung cancer in a large pooled community-based casecontrol study. A semi-quantitative approach showed similar results as the quantitative exposure assessment approach except that with the latter risk can be expressed in terms of mg/m3 quartz years, which would facilitate quantitative risk-assessment.
    Original languageEnglish
    Pages (from-to)48
    Number of pages1
    JournalOccupational and Environmental Medicine
    Volume68
    DOIs
    Publication statusPublished - 1 Sept 2011

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • silicon dioxide
    • carcinogen
    • exposure
    • cancer risk
    • lung cancer
    • occupational health
    • work
    • occupational exposure
    • epidemiology
    • risk
    • case control study
    • community
    • smoking
    • model
    • population
    • lifespan
    • Canada
    • logistic regression analysis
    • gender
    • cigarette smoking
    • lung
    • risk assessment

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