Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol
Kate Jones1, Ioannis Basinas2, Hans Kromhout3
1Health and Safety Executive, Buxton, United Kingdom.
JMIR Research Protocols
|March 5, 2020
Summary
This study assesses pesticide exposure recall bias in epidemiological research. Findings will improve methods for accurately linking pesticide exposure to chronic diseases.
Area of Science:
- Environmental Epidemiology
- Exposure Science
- Toxicology
Background:
- Pesticide exposure is linked to chronic diseases, necessitating accurate historical exposure assessment.
- Self-reported data, often used for historical pesticide exposure assessment, has limitations.
- Understanding the performance of these surrogate measures is crucial for risk evaluation.
Purpose of the Study:
- The IMPRESS project aims to evaluate the reliability and validity of surrogate measures for pesticide exposure assessment.
- It will assess recall bias in self-reported pesticide exposure data.
- The project seeks to improve epidemiological estimates of pesticide-health effects.
Main Methods:
- Recruiting participants from existing epidemiological cohorts in Malaysia, Uganda, and the UK.
- Reinterviewing participants using amended questionnaires and collecting urine samples for pesticide metabolite analysis.
- Evaluating pesticide exposure recall over different time periods (<2, 6-12, >15 years) and assessing biomonitoring results against algorithmic exposure assessment.
Main Results:
- Project funded in 2017, with enrollment and sample collection completed in Malaysia (2019) and ongoing in Uganda and the UK.
- Sample and data analysis planned for 2020, with first results anticipated in 2021.
- Results will inform the accuracy of current exposure assessment algorithms.
Conclusions:
- The study will assess the consistency of questionnaire data and accuracy of pesticide exposure algorithms.
- Findings will guide amendments to improve pesticide exposure data capture in future epidemiological studies.
- This will enhance the reliability of exposure-disease association studies.
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