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Chronic disease
SP1-7 Pesticide exposure in farming and forestry and the risk of uveal melanoma
  1. T Behrens1,
  2. E Lynge2,
  3. I Cree3,
  4. J M Lutz4,
  5. M Eriksson5,
  6. P Guenel6,7,
  7. F Merletti8,
  8. M Morales-Suarez-Varela9,10,
  9. N Afonso11,
  10. A Stengrevics12,
  11. J Fevotte13,
  12. S Sabroe14,
  13. A Llopis-Gonzalez9,10,
  14. G Gorini15,
  15. L Hardell16,
  16. S Andreas17,18,
  17. W Ahrens1,18
  1. 1Bremen Institute for Prevention Research and Social Medicine, Bremen, Germany
  2. 2Institute of Public Health, University of Copenhagen, Copenhagen, Denmark
  3. 3Institute of Ophthalmology, University College London, London, UK
  4. 4Department of Chronic Disease Epidemiology, National Institute for Cancer Epidemiology and Registration (NICER), ISPM Zürich, Zürich, Switzerland
  5. 5Department of Oncology, University Hospital, Lund, Sweden
  6. 6Inserm, CESP Center for Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, France
  7. 7University Paris-Sud, UMRS 1018, Villejuif, France
  8. 8Unit of Cancer Epidemiology, University of Turin, CERMS and CPO, Piemonte, Italy
  9. 9Unit of Public Health and Environmental Care, Department of Preventive Medicine, University of Valencia, Valencia, Spain
  10. 10Research Foundation. University Hospital Dr. Peset, Valencia, Spain
  11. 11Serviço de Oncologia Médica, Instituto Portugues de Oncologia, Porto, Portugal
  12. 12Latvia Cancer Registry, Riga, Latvia
  13. 13Institut de Veille Sanitaire (InVS), Département, Santé-Travail (DST), S. Maurice, France
  14. 14Department of Epidemiology, University of Aarhus, Aarhus, Denmark
  15. 15Epidemiology and Public Health; Environmental and Occupational Epidemiology Unit—ISPO Cancer Prevention and Research Institute, Florence, Italy
  16. 16Department of Oncology, Lund University Hospital, Lund, Sweden
  17. 17Institute of Clinical Epidemiology, University of Halle–Wittenberg, Halle, Germany
  18. 18Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany


Introduction Since pesticides are disputed risk factors for uveal melanoma, we studied the association between occupational pesticide exposure and uveal melanoma risk in a case-control study from nine European countries.

Methods Incident cases of uveal melanoma and population as well as hospital controls were included and frequency-matched by country, 5-year age groups and sex. Self-reported exposure was quantified with respect to duration of exposure and pesticide application method. We calculated the exposure intensity level based on application method and use of personal protective equipment. ORs and 95% CIs were estimated by unconditional logistic regression analyses and adjusted for several potential confounders.

Results 293 case and 3198 control subjects were interviewed. We did not identify positive associations with activities in farming or forestry, pesticide application or pesticide mixing. No consistent positive associations were seen with exposure intensity level scores either. The only statistically significantly raised association in this study was for exposure to chemical fertilisers in forestry (OR 8.93; 95% CI 1.73 to 42.13), but this observation was based on only six exposed subjects. Results did not change when we restricted analyses to morphologically verified cases and excluded proxy interviews as well as cancer controls. We did not observe effect modification by sex or eye colour.

Conclusion Risk estimates for pesticide exposures and occupational activities in agriculture and forestry were not increased and did not indicate a hormonal mechanism due to these exposures. The possible risk increase associated with exposure to chemical fertilisers should be reinvestigated in future studies.

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