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Multiple Myeloma and lifetime occupation: results from the EPILYMPH study

Carla Perrotta1*, Anthony Staines2, Mary Codd3, Silke Kleefeld3, Dominique Crowley3, Andrea T’ Mannetje4, Nicholas Becker5, Paul Brennan6, Silvia De Sanjosé7, Lenka Foretova8, Marck Maynadié9, Alexandra Nieters10, Paolo Boffetta1112 and Pierluggi Cocco13

Author Affiliations

1 Medicina Familiar y Comunitaria, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina

2 School of Nursing, Dublin College University, Dublin, Ireland

3 School of Public Health and Population Sciences, University College Dublin, Dublin, Ireland

4 Centre for Public Health Research, Massey University, Wellington, New Zealand

5 German Cancer Research Center, Heidelberg, Germany

6 International Agency for Research on Cancer, Lyon, France

7 Catalan Institute of Oncology, CIBERESP, IDIBELL, Barcelona, Spain

8 Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic

9 Dijon University Hospital, Dijon, France

10 Centre of Chronic Immunodeficiency, University of Frieburg, Frieburg, Germany

11 The Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY, USA

12 International Prevention Research Institute, Lyon, France

13 Department of Public Health, Occupational Health Section, University of Cagliari, Cagliari, Italy

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Journal of Occupational Medicine and Toxicology 2012, 7:25  doi:10.1186/1745-6673-7-25

Published: 14 December 2012

Abstract

Background

The EPILYMPH study applied a detailed occupational exposure assessment approach to a large multi-centre case–control study conducted in six European countries. This paper analysed multiple myeloma (MM) risk associated with level of education, and lifetime occupational history and occupational exposures, based on the EPILYMPH data set.

Methods

277 MM cases and four matched controls per each case were included. Controls were randomly selected, matching for age (+/− 5 years), centre and gender. Lifetime occupations and lifetime exposure to specific workplace agents was obtained through a detailed questionnaire. Local industrial hygienists assessed likelihood and intensity for specific exposures. The odds ratio and 95% confidence intervals (OR, 95% CI) were calculated for level of education, individual occupations and specific exposures. Unconditional logistic regression models were run for individual occupations and exposures.

Results

A low level of education was associated with MM OR=1.68 (95% CI 1.02-2.76). An increased risk was observed for general farmers (OR=1.77; 95% CI 1.05-2.99) and cleaning workers (OR=1.69; 95% CI 1.04-2.72) adjusting for level of education. Risk was also elevated, although not significant, for printers (OR=2.06; 95% CI 0.97-4.34). Pesticide exposure over a period of ten years or more increased MM risk (OR=1.62; 95% CI 1.01-2.58).

Conclusion

These results confirm an association of MM with farm work, and indicate its association with printing and cleaning. While prolonged exposure to pesticides seems to be a risk factor for MM, an excess risk associated with exposure to organic solvents could not be confirmed.

Keywords:
Multiple Myeloma; Occupation; Pesticide; Epidemiology; Case–control study; EPILYMPH study