11 research outputs found

    Pesticide Exposure of Residents Living Close to Agricultural Fields in the Netherlands:Protocol for an Observational Study

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    Background: Application of pesticides in the vicinity of homes has caused concern regarding possible health effects in residents living nearby. However, the high spatiotemporal variation of pesticide levels and lack of knowledge regarding the contribution of exposure routes greatly complicates exposure assessment approaches. Objective: The objective of this paper was to describe the study protocol of a large exposure survey in the Netherlands assessing pesticide exposure of residents living close ( Methods: We performed an observational study involving residents living in the vicinity of agricultural fields and residents living more than 500 m away from any agricultural fields (control subjects). Residential exposures were measured both during a pesticide use period after a specific application and during the nonuse period for 7 and 2 days, respectively. We collected environmental samples (outdoor and indoor air, dust, and garden and field soils) and personal samples (urine and hand wipes). We also collected data on spraying applications as well as on home characteristics, participants' demographics, and food habits via questionnaires and diaries. Environmental samples were analyzed for 46 prioritized pesticides. Urine samples were analyzed for biomarkers of a subset of 5 pesticides. Alongside the field study, and by taking spray events and environmental data into account, we developed a modeling framework to estimate environmental exposure of residents to pesticides. Results: Our study was conducted between 2016 and 2019. We assessed 96 homes and 192 participants, including 7 growers and 28 control subjects. We followed 14 pesticide applications, applying 20 active ingredients. We collected 4416 samples: 1018 air, 445 dust (224 vacuumed floor, 221 doormat), 265 soil (238 garden, 27 fields), 2485 urine, 112 hand wipes, and 91 tank mixtures. Conclusions: To our knowledge, this is the first study on residents' exposure to pesticides addressing all major nondietary exposure sources and routes (air, soil, dust). Our protocol provides insights on used sampling techniques, the wealth of data collected, developed methods, modeling framework, and lessons learned. Resources and data are open for future collaborations on this important topic

    Sequential Indoor Use of Pesticides: Operator Exposure via Deposit Transfer from Sprayed Crops and Contaminated Application Equipment

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    Dermal transfer of pesticide residues to human skin due to contact with treated crops, treated surfaces, or contaminated surfaces is an important route of exposure for operators, workers and possibly for bystanders and residents. However, information on dermal transfer data is limited and mainly available for workers. The aim of the present study has been to generate both dermal exposure and transfer data related for operators involved in sequential tasks of mixing/loading and application of pesticides in a southern EU zone greenhouse. Exposure measurements were based on the principles of the whole-body dosimetry (WBD) method involving the use of cotton coveralls and gloves as dosimeters. Six field trials were conducted in three tomato greenhouses, on the island of Crete, Greece. The study results showed that the contribution of existing pesticide deposits on the treated crops, i.e., from an application conducted earlier the same day, was in the range of 8–16% for the application task and 0.9–18% for the mixing/loading task in relation to the measured total exposure to this pesticide during a short-term sequential application. The results of this study have been incorporated in the GAOEM (Greenhouse Agricultural Operator Exposure Model) included in the updated EFSA Guidance on the assessment of exposure of operators, workers, residents and bystanders in risk assessment of plant protection products. The low values of the pesticide amount penetrating the coverall (actual dermal exposure) in all cases highlight and confirm the need for the use of appropriate personal protective equipment (PPE) for operator safety

    Sequential Indoor Use of Pesticides: Operator Exposure via Deposit Transfer from Sprayed Crops and Contaminated Application Equipment

    No full text
    Dermal transfer of pesticide residues to human skin due to contact with treated crops, treated surfaces, or contaminated surfaces is an important route of exposure for operators, workers and possibly for bystanders and residents. However, information on dermal transfer data is limited and mainly available for workers. The aim of the present study has been to generate both dermal exposure and transfer data related for operators involved in sequential tasks of mixing/loading and application of pesticides in a southern EU zone greenhouse. Exposure measurements were based on the principles of the whole-body dosimetry (WBD) method involving the use of cotton coveralls and gloves as dosimeters. Six field trials were conducted in three tomato greenhouses, on the island of Crete, Greece. The study results showed that the contribution of existing pesticide deposits on the treated crops, i.e., from an application conducted earlier the same day, was in the range of 8–16% for the application task and 0.9–18% for the mixing/loading task in relation to the measured total exposure to this pesticide during a short-term sequential application. The results of this study have been incorporated in the GAOEM (Greenhouse Agricultural Operator Exposure Model) included in the updated EFSA Guidance on the assessment of exposure of operators, workers, residents and bystanders in risk assessment of plant protection products. The low values of the pesticide amount penetrating the coverall (actual dermal exposure) in all cases highlight and confirm the need for the use of appropriate personal protective equipment (PPE) for operator safety

    New risk indicator approach for Operators, Workers, Bystanders and Residents for a sustainable use of plant protection products

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    In 2009, the European Union adopted the Directive on Sustainable Use of pesticides (SUD, Directive 2009/128/EC) establishing a framework for achieving a sustainable use of Plant Protection Products (PPPs) through reducing the risks and impacts of PPP use on human health and the environment, promoting integrated pest management and stimulating effective non-chemical alternatives. The core idea of the SUD is that it is necessary to monitor the use of PPPs through the implementation of an appropriate set of risk indicators to monitor progress and trends in risk reduction within the Member States. To contribute to this direction, following a comprehensive analysis of the risk (including procedures of risk assessment and risk management) and involving stakeholders in the decision process, specific toolboxes of practical indirect risk indicators of exposure of Operators, Workers, Bystanders and Residents were developed and are now available to be used by Member States (MSs) based on their specific context

    The BROWSE model for predicting exposures of residents and bystanders to agricultural use of plant protection products : an overview

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    New models have been developed, with the aim of improving the estimate of exposure of residents and bystanders to agricultural pesticides for regulatory purposes. These are part of a larger suite of models also covering operators and workers. The population that is modelled for residents and bystanders relates to people (both adults and children) who have no association with the application (i.e. not occupational exposure) but are adjacent to the treated area during and/or after the application process. The scenarios that the models aim to describe are based on consideration of both best practice and of real practice, as shown in surveys and from expert knowledge obtained in stakeholder consultations. The work has focused on three causes of exposure identified as having potential for improvement: boom sprayers, orchard sprayers and vapour emissions

    The BROWSE model for predicting exposures of residents and bystanders to agricultural use of plant protection products: An overview

    No full text
    New models have been developed, with the aim of improving the estimate of exposure of residents and bystanders to agricultural pesticides for regulatory purposes. These are part of a larger suite of models also covering operators and workers. The population that is modelled for residents and bystanders relates to people (both adults and children) who have no association with the application (i.e. not occupational exposure) but are adjacent to the treated area during and/or after the application process. The scenarios that the models aim to describe are based on consideration of both best practice and of real practice, as shown in surveys and from expert knowledge obtained in stakeholder consultations.The work has focused on three causes of exposure identified as having potential for improvement: boom sprayers, orchard sprayers and vapour emissions.An overview of the models is given, and a description of model input values and proposed defaults. The main causes of uncertainty in the models are also discussed. There are a number of benefits of the BROWSE model over current models of bystander and resident exposure, which includes the incorporation of mitigation measures for reducing exposure and the use of probabilistic modelling to avoid an over-conservative approach.It is expected that the levels of exposure that the BROWSE model predicts will, in some cases, be higher than those predicted by the current UK regulatory model. This is largely because the modelled scenarios have been updated to account for current practice and current scientific knowledge.<br/

    Pesticide Exposure of Residents Living Close to Agricultural Fields in the Netherlands: Protocol for an Observational Study

    Get PDF
    Background: Application of pesticides in the vicinity of homes has caused concern regarding possible health effects in residents living nearby. However, the high spatiotemporal variation of pesticide levels and lack of knowledge regarding the contribution of exposure routes greatly complicates exposure assessment approaches. Objective: The objective of this paper was to describe the study protocol of a large exposure survey in the Netherlands assessing pesticide exposure of residents living close (<250 m) to agricultural fields; to better understand possible routes of exposure; to develop an integrative exposure model for residential exposure; and to describe lessons learned. Methods: We performed an observational study involving residents living in the vicinity of agricultural fields and residents living more than 500 m away from any agricultural fields (control subjects). Residential exposures were measured both during a pesticide use period after a specific application and during the nonuse period for 7 and 2 days, respectively. We collected environmental samples (outdoor and indoor air, dust, and garden and field soils) and personal samples (urine and hand wipes). We also collected data on spraying applications as well as on home characteristics, participants' demographics, and food habits via questionnaires and diaries. Environmental samples were analyzed for 46 prioritized pesticides. Urine samples were analyzed for biomarkers of a subset of 5 pesticides. Alongside the field study, and by taking spray events and environmental data into account, we developed a modeling framework to estimate environmental exposure of residents to pesticides. Results: Our study was conducted between 2016 and 2019. We assessed 96 homes and 192 participants, including 7 growers and 28 control subjects. We followed 14 pesticide applications, applying 20 active ingredients. We collected 4416 samples: 1018 air, 445 dust (224 vacuumed floor, 221 doormat), 265 soil (238 garden, 27 fields), 2485 urine, 112 hand wipes, and 91 tank mixtures. Conclusions: To our knowledge, this is the first study on residents' exposure to pesticides addressing all major nondietary exposure sources and routes (air, soil, dust). Our protocol provides insights on used sampling techniques, the wealth of data collected, developed methods, modeling framework, and lessons learned. Resources and data are open for future collaborations on this important topic
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