A French crop-exposure matrix for use in epidemiological studies on pesticides: PESTIMAT - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Journal of Exposure Science and Environmental Epidemiology Année : 2017

A French crop-exposure matrix for use in epidemiological studies on pesticides: PESTIMAT

Résumé

Pesticide exposure assessment is a key methodological issue for epidemiological studies. The history of pesticide has proven difficult to obtain from individuals' report because of the wide range of active ingredients (AIs). We developed a crop-exposure matrix, which intends to reconstitute parameters of pesticide exposure in France since 1950. PESTIMAT is composed of tables crossing crops and AIs by year and providing the following metrics: (1) probability (proportion of farmers having used the AIs); (2) frequency (number of treatment days); and (3) intensity (application rate of the AIs in kg/ha). Metrics were obtained by the combination of six sources: (i) registration information from the Agriculture Ministry; (ii) information from agricultural bodies on products marketed; (iii) agricultural recommendations by the Plant Health Protection body; (iv) treatment calendars provided by farmers; (v) data from associations of farmers; and (vi) data from the industry. To date, 529 AIs usable between 1950 and 2010 are included in PESTIMAT: 160 fungicides; 160 herbicides; and 209 insecticides. When combined with duration and determinants of intensity, the metrics in PESTIMAT will make it possible to calculate exposure scores and to search for dose-effect relationships, an important criterion for causality judgment in epidemiology.

Dates et versions

hal-01908711 , version 1 (30-10-2018)

Identifiants

Citer

Isabelle Baldi, Camille Carles, Audrey Blanc-Lapierre, Pascale Fabbro-Peray, Michel Druet-Cabanac, et al.. A French crop-exposure matrix for use in epidemiological studies on pesticides: PESTIMAT. Journal of Exposure Science and Environmental Epidemiology, 2017, 27 (1), pp.56 - 63. ⟨10.1038/jes.2015.72⟩. ⟨hal-01908711⟩
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