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Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol

BACKGROUND: Exposure to certain pesticides has been associated with several chronic diseases. However, to determine the role of pesticides in the causation of such diseases, an assessment of historical exposures is required. Exposure measurement data are rarely available; therefore, assessment of hi...

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Autores principales: Jones, Kate, Basinas, Ioannis, Kromhout, Hans, van Tongeren, Martie, Harding, Anne-Helen, Cherrie, John W, Povey, Andrew, Sidek Ahmad, Zulkhairul Naim, Fuhrimann, Samuel, Ohlander, Johan, Vermeulen, Roel, Galea, Karen S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070347/
https://www.ncbi.nlm.nih.gov/pubmed/32130188
http://dx.doi.org/10.2196/16448
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author Jones, Kate
Basinas, Ioannis
Kromhout, Hans
van Tongeren, Martie
Harding, Anne-Helen
Cherrie, John W
Povey, Andrew
Sidek Ahmad, Zulkhairul Naim
Fuhrimann, Samuel
Ohlander, Johan
Vermeulen, Roel
Galea, Karen S
author_facet Jones, Kate
Basinas, Ioannis
Kromhout, Hans
van Tongeren, Martie
Harding, Anne-Helen
Cherrie, John W
Povey, Andrew
Sidek Ahmad, Zulkhairul Naim
Fuhrimann, Samuel
Ohlander, Johan
Vermeulen, Roel
Galea, Karen S
author_sort Jones, Kate
collection PubMed
description BACKGROUND: Exposure to certain pesticides has been associated with several chronic diseases. However, to determine the role of pesticides in the causation of such diseases, an assessment of historical exposures is required. Exposure measurement data are rarely available; therefore, assessment of historical exposures is frequently based on surrogate self-reported information, which has inherent limitations. Understanding the performance of the applied surrogate measures in the exposure assessment of pesticides is therefore important to allow proper evaluation of the risks. OBJECTIVE: The Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides (IMPRESS) project aims to assess the reliability and external validity of the surrogate measures used to assign exposure within individuals or groups of individuals, which are frequently based on self-reported data on exposure determinants. IMPRESS will also evaluate the size of recall bias on the misclassification of exposure to pesticides; this in turn will affect epidemiological estimates of the effect of pesticides on human health. METHODS: The IMPRESS project will recruit existing cohort participants from previous and ongoing research studies primarily of epidemiological origin from Malaysia, Uganda, and the United Kingdom. Consenting participants of each cohort will be reinterviewed using an amended version of the original questionnaire addressing pesticide use characteristics administered to that cohort. The format and relevant questions will be retained but some extraneous questions from the original (eg, relating to health) will be excluded for ethical and practical reasons. The reliability of pesticide exposure recall over different time periods (<2 years, 6-12 years, and >15 years) will then be evaluated. Where the original cohort study is still ongoing, participants will also be asked if they wish to take part in a new exposure biomonitoring survey, which involves them providing urine samples for pesticide metabolite analysis and completing questionnaire information regarding their work activities at the time of sampling. The participant’s level of exposure to pesticides will be determined by analyzing the collected urine samples for selected pesticide metabolites. The biomonitoring measurement results will be used to assess the performance of algorithm-based exposure assessment methods used in epidemiological studies to estimate individual exposures during application and re-entry work. RESULTS: The project was funded in September 2017. Enrollment and sample collection was completed for Malaysia in 2019 and is on-going for Uganda and the United Kingdom. Sample and data analysis will proceed in 2020 and the first results are expected to be submitted for publication in 2021. CONCLUSIONS: The study will evaluate the consistency of questionnaire data and accuracy of current algorithms in assessing pesticide exposures. It will indicate where amendments can be made to better capture exposure data for future epidemiology studies and thus improve the reliability of exposure-disease associations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/16448
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spelling pubmed-70703472020-03-19 Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol Jones, Kate Basinas, Ioannis Kromhout, Hans van Tongeren, Martie Harding, Anne-Helen Cherrie, John W Povey, Andrew Sidek Ahmad, Zulkhairul Naim Fuhrimann, Samuel Ohlander, Johan Vermeulen, Roel Galea, Karen S JMIR Res Protoc Protocol BACKGROUND: Exposure to certain pesticides has been associated with several chronic diseases. However, to determine the role of pesticides in the causation of such diseases, an assessment of historical exposures is required. Exposure measurement data are rarely available; therefore, assessment of historical exposures is frequently based on surrogate self-reported information, which has inherent limitations. Understanding the performance of the applied surrogate measures in the exposure assessment of pesticides is therefore important to allow proper evaluation of the risks. OBJECTIVE: The Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides (IMPRESS) project aims to assess the reliability and external validity of the surrogate measures used to assign exposure within individuals or groups of individuals, which are frequently based on self-reported data on exposure determinants. IMPRESS will also evaluate the size of recall bias on the misclassification of exposure to pesticides; this in turn will affect epidemiological estimates of the effect of pesticides on human health. METHODS: The IMPRESS project will recruit existing cohort participants from previous and ongoing research studies primarily of epidemiological origin from Malaysia, Uganda, and the United Kingdom. Consenting participants of each cohort will be reinterviewed using an amended version of the original questionnaire addressing pesticide use characteristics administered to that cohort. The format and relevant questions will be retained but some extraneous questions from the original (eg, relating to health) will be excluded for ethical and practical reasons. The reliability of pesticide exposure recall over different time periods (<2 years, 6-12 years, and >15 years) will then be evaluated. Where the original cohort study is still ongoing, participants will also be asked if they wish to take part in a new exposure biomonitoring survey, which involves them providing urine samples for pesticide metabolite analysis and completing questionnaire information regarding their work activities at the time of sampling. The participant’s level of exposure to pesticides will be determined by analyzing the collected urine samples for selected pesticide metabolites. The biomonitoring measurement results will be used to assess the performance of algorithm-based exposure assessment methods used in epidemiological studies to estimate individual exposures during application and re-entry work. RESULTS: The project was funded in September 2017. Enrollment and sample collection was completed for Malaysia in 2019 and is on-going for Uganda and the United Kingdom. Sample and data analysis will proceed in 2020 and the first results are expected to be submitted for publication in 2021. CONCLUSIONS: The study will evaluate the consistency of questionnaire data and accuracy of current algorithms in assessing pesticide exposures. It will indicate where amendments can be made to better capture exposure data for future epidemiology studies and thus improve the reliability of exposure-disease associations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/16448 JMIR Publications 2020-02-28 /pmc/articles/PMC7070347/ /pubmed/32130188 http://dx.doi.org/10.2196/16448 Text en ©Kate Jones, Ioannis Basinas, Hans Kromhout, Martie van Tongeren, Anne-Helen Harding, John W Cherrie, Andrew Povey, Zulkhairul Naim Sidek Ahmad, Samuel Fuhrimann, Johan Ohlander, Roel Vermeulen, Karen S Galea. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 28.02.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Jones, Kate
Basinas, Ioannis
Kromhout, Hans
van Tongeren, Martie
Harding, Anne-Helen
Cherrie, John W
Povey, Andrew
Sidek Ahmad, Zulkhairul Naim
Fuhrimann, Samuel
Ohlander, Johan
Vermeulen, Roel
Galea, Karen S
Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title_full Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title_fullStr Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title_full_unstemmed Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title_short Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
title_sort improving exposure assessment methodologies for epidemiological studies on pesticides: study protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070347/
https://www.ncbi.nlm.nih.gov/pubmed/32130188
http://dx.doi.org/10.2196/16448
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