Pesticide Exposure in Fruit-Growers: Comparing Levels and Determinants Assessed under Usual Conditions of Work (CANEPA Study) with Those Predicted by Registration Process (Agricultural Operator Exposure Model)

Int J Environ Res Public Health. 2022 Apr 11;19(8):4611. doi: 10.3390/ijerph19084611.

Abstract

Knowledge of pesticide exposure levels in farmers is necessary for epidemiological studies and regulatory purposes. In the European pesticide registration process, operators' exposure is predicted using the Agricultural Operator Exposure Model (AOEM), created in 2014 by the European Food Safety Authority based on studies conducted by the pesticide industry. We compared operators' exposures during treatment days in the apple-growing industry under non-controlled working conditions and AOEM-predicted values. The dermal exposure of thirty French apple-growers from the CANEPA study when applying two fungicides was measured using body patches and cotton gloves. For each observation, the corresponding exposure was calculated by means of the AOEM, using data recorded about the operator, spraying equipment and personal protective equipment (PPE) used. A significant linear correlation was observed between calculated and measured daily exposures. The model overestimated the daily exposure approximately 4-fold and the exposure during application 10-fold. However, exposure was underestimated during mixing/loading for 70% of the observations when the operator wore PPE. The AOEM did not overestimate exposures in all circumstances, especially during mixing/loading, when operators handle concentrated products. The protection provided by PPE appeared to be overestimated. This could be due to the optimal working conditions under which the "industrial" studies are conducted, which may not be representative of real working conditions of operators in fruit-growing.

Keywords: exposure model; fruit-growing; occupational exposure; pesticide registration; pesticides.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture
  • Farmers
  • Fruit / chemistry
  • Humans
  • Malus*
  • Occupational Exposure* / analysis
  • Pesticides* / analysis

Substances

  • Pesticides