Maartje Brouwer1, Leah Schinasi2, Laura E Beane Freeman3, Isabelle Baldi4, Pierre Lebailly5, Gilles Ferro2, Karl-Christian Nordby6, Joachim Schüz2, Maria E Leon2, Hans Kromhout1. 1. Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands. 2. Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France. 3. Occupational and Environmental Epidemiology Branch, National Cancer Institute (NCI), Bethesda, Maryland, USA. 4. Laboratoire Santé Travail Environnement, ISPED, Université Bordeaux, Bordeaux, France Centre INSERM U897-Epidemiologie-Biostatistique, ISPED, INSERM, Bordeaux, France Service de Médecine du Travail, CHU de Bordeaux, Bordeaux, France. 5. UMR1086-Cancers et Préventions, INSERM, Caen, France Cancers et Préventions, IFR146 ICORE, Université Caen Basse-Normandie, Caen, France Centre de Lutte Contre le Cancer François Baclesse, Caen, France. 6. Department of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Abstract
BACKGROUND: This paper describes methods developed to assess occupational exposure to pesticide active ingredients and chemical groups, harmonised across cohort studies included in the first AGRICOH pooling project, focused on the risk of lymph-haematological malignancies. METHODS: Three prospective agricultural cohort studies were included: US Agricultural Health Study (AHS), French Agriculture and Cancer Study (AGRICAN) and Cancer in the Norwegian Agricultural Population (CNAP). Self-reported pesticide use was collected in AHS. Crop-exposure matrices (CEMs) were developed for AGRICAN and CNAP. We explored the potential impact of these differences in exposure assessment by comparing a CEM approach estimating exposure in AHS with self-reported pesticide use. RESULTS: In AHS, 99% of participants were considered exposed to pesticides, 68% in AGRICAN and 63% in CNAP. For all cohorts combined (n=316 270), prevalence of exposure ranged from 19% to 59% for 14 chemical groups examined, and from 13% to 46% for 33 active ingredients. Exposures were highly correlated within AGRICAN and CNAP where CEMs were applied; they were less correlated in AHS. Poor agreement was found between self-reported pesticide use and assigned exposure in AHS using a CEM approach resembling the assessment for AGRICAN (κ -0.00 to 0.33) and CNAP (κ -0.01 to 0.14). CONCLUSIONS: We developed country-specific CEMs to assign occupational exposure to pesticides in cohorts lacking self-reported data on the use of specific pesticides. The different exposure assessment methods applied may overestimate or underestimate actual exposure prevalence, and additional work is needed to better estimate how far the exposure estimates deviate from reality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
BACKGROUND: This paper describes methods developed to assess occupational exposure to pesticide active ingredients and chemical groups, harmonised across cohort studies included in the first AGRICOH pooling project, focused on the risk of lymph-haematological malignancies. METHODS: Three prospective agricultural cohort studies were included: US Agricultural Health Study (AHS), French Agriculture and Cancer Study (AGRICAN) and Cancer in the Norwegian Agricultural Population (CNAP). Self-reported pesticide use was collected in AHS. Crop-exposure matrices (CEMs) were developed for AGRICAN and CNAP. We explored the potential impact of these differences in exposure assessment by comparing a CEM approach estimating exposure in AHS with self-reported pesticide use. RESULTS: In AHS, 99% of participants were considered exposed to pesticides, 68% in AGRICAN and 63% in CNAP. For all cohorts combined (n=316 270), prevalence of exposure ranged from 19% to 59% for 14 chemical groups examined, and from 13% to 46% for 33 active ingredients. Exposures were highly correlated within AGRICAN and CNAP where CEMs were applied; they were less correlated in AHS. Poor agreement was found between self-reported pesticide use and assigned exposure in AHS using a CEM approach resembling the assessment for AGRICAN (κ -0.00 to 0.33) and CNAP (κ -0.01 to 0.14). CONCLUSIONS: We developed country-specific CEMs to assign occupational exposure to pesticides in cohorts lacking self-reported data on the use of specific pesticides. The different exposure assessment methods applied may overestimate or underestimate actual exposure prevalence, and additional work is needed to better estimate how far the exposure estimates deviate from reality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Authors: Linda Kachuri; M Anne Harris; Jill S MacLeod; Michael Tjepkema; Paul A Peters; Paul A Demers Journal: BMC Cancer Date: 2017-05-19 Impact factor: 4.430
Authors: Maria E Leon; Leah H Schinasi; Pierre Lebailly; Laura E Beane Freeman; Karl-Christian Nordby; Gilles Ferro; Alain Monnereau; Maartje Brouwer; Séverine Tual; Isabelle Baldi; Kristina Kjaerheim; Jonathan N Hofmann; Petter Kristensen; Stella Koutros; Kurt Straif; Hans Kromhout; Joachim Schüz Journal: Int J Epidemiol Date: 2019-10-01 Impact factor: 7.196