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dc.rights.licenseopenen_US
dc.contributor.authorHIPPERT, Juliette
dc.contributor.authorTALIBOV, Madar
dc.contributor.authorMORLAIS, Fabrice
dc.contributor.authorBRUGIONI, Maite
dc.contributor.authorPERRIER, Stephanie
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBALDI, Isabelle
dc.contributor.authorCREPET, Amelie
dc.contributor.authorLEBAILLY, Pierre
dc.date.accessioned2024-10-17T14:29:08Z
dc.date.available2024-10-17T14:29:08Z
dc.date.issued2024-09-28
dc.identifier.issn1879-1026en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/202562
dc.description.abstractEnFarmers, particularly in Europe, are exposed to multiple pesticides during their working life. Such exposures can cause adverse health outcomes. We aimed to identify the main pesticide mixtures to which French agricultural workers are exposed and to classify farmers into clusters based on their mixture exposure profile. The AGRICAN cohort includes farm-owners and farm workers enrolled from 2005 to 2007, with information on exact years of beginning and end of pesticide use on 11 crops and five livestock. We estimated duration of exposure to 390 pesticides identified with the PESTIMAT crop-exposure matrix for 16,905 male pesticide users from 1950 to 2009. We used a Sparse Non-negative Matrix Under-approximation to identify the main pesticide mixtures based on exposure duration, and then applied hierarchical agglomerative clustering to classify farmers sharing similar profiles of co-exposure to the mixtures. SNMU suggested 6 optimal numbers of mixtures (4, 7, 11, 15, 27, 38) explaining from 29 to 91 % of total variance. We selected 27 mixtures. Mixtures contained between four to 22 pesticides and mostly concerned the use of pesticides on wheat/barley, vineyards, corn, fruit and vegetables or on multiple crops together. We selected 11 clusters composed of 395 to 4521 farmers. Some had a higher proportion of individuals working on specific crops (vineyard, corn), while others were characterized by the diversity of crops (cluster 8:"Permanent crops, potatoes and tobacco"). This is the first study to identify pesticide mixtures in farmers and to classify them into clusters based on their mixture exposure profiles. The next step will be to study the associations between pesticide mixtures and health outcomes such as prostate cancer in AGRICAN.
dc.language.isoENen_US
dc.subject.enClustering
dc.subject.enCocktail
dc.subject.enCrop-exposure matrix PESTIMAT
dc.subject.enFarmers
dc.subject.enHAC
dc.subject.enHerbicide
dc.subject.enSNMU
dc.title.enIdentification of pesticide mixtures to which French agricultural workers and farm-owners are exposed: Results from the Agriculture and Cancer (AGRICAN) cohort study
dc.title.alternativeSci Total Environen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.scitotenv.2024.176607en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed39349204en_US
bordeaux.journalScience of the Total Environmenten_US
bordeaux.page176607en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamEPICENE_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04742052
hal.version1
hal.date.transferred2024-10-17T14:29:09Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Science%20of%20the%20Total%20Environment&rft.date=2024-09-28&rft.spage=176607&rft.epage=176607&rft.eissn=1879-1026&rft.issn=1879-1026&rft.au=HIPPERT,%20Juliette&TALIBOV,%20Madar&MORLAIS,%20Fabrice&BRUGIONI,%20Maite&PERRIER,%20Stephanie&rft.genre=article


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