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

algorithm biomonitoring epidemiology occupational exposure pesticides questionnaire urine

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
28 Feb 2020
Historique:
received: 01 10 2019
accepted: 14 12 2019
entrez: 5 3 2020
pubmed: 5 3 2020
medline: 5 3 2020
Statut: epublish

Résumé

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. 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. 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. 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. 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. PRR1-10.2196/16448.

Sections du résumé

BACKGROUND 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 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 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 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 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) UNASSIGNED
PRR1-10.2196/16448.

Identifiants

pubmed: 32130188
pii: v9i2e16448
doi: 10.2196/16448
pmc: PMC7070347
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e16448

Informations de copyright

©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.

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Auteurs

Kate Jones (K)

Health and Safety Executive, Buxton, United Kingdom.

Ioannis Basinas (I)

Centre for Human Exposure Science, Institute of Occupational Medicine, Edinburgh, United Kingdom.

Hans Kromhout (H)

Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.

Martie van Tongeren (M)

Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Anne-Helen Harding (AH)

Health and Safety Executive, Buxton, United Kingdom.

John W Cherrie (JW)

Centre for Human Exposure Science, Institute of Occupational Medicine, Edinburgh, United Kingdom.
Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, United Kingdom.

Andrew Povey (A)

Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Zulkhairul Naim Sidek Ahmad (ZN)

Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Samuel Fuhrimann (S)

Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.

Johan Ohlander (J)

Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.

Roel Vermeulen (R)

Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.

Karen S Galea (KS)

Centre for Human Exposure Science, Institute of Occupational Medicine, Edinburgh, United Kingdom.

Classifications MeSH