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

作者: Kate Jones , Ioannis Basinas , Hans Kromhout , Martie van Tongeren , Anne-Helen Harding

DOI: 10.2196/16448

关键词:

摘要: Background: Exposure to certain pesticides has been associated with several chronic diseases. However, determine the role of in causation such diseases, an assessment historical exposures is required. measurement data are rarely available; therefore, frequently based on surrogate self-reported information, which inherent limitations. Understanding performance applied measures exposure therefore important allow proper evaluation risks. Objective: The Improving Assessment Methodologies for Epidemiological Studies Pesticides (IMPRESS) project aims assess reliability and external validity used assign within individuals or groups individuals, determinants. IMPRESS will also evaluate size recall bias misclassification pesticides; this turn affect epidemiological estimates effect human health. Methods: recruit existing cohort participants from previous ongoing research studies primarily origin Malaysia, Uganda, United Kingdom. Consenting each be reinterviewed using amended version original questionnaire addressing pesticide use characteristics administered that cohort. format relevant questions retained but some extraneous (eg, relating health) excluded ethical practical reasons. over different time periods ( 15 years) then evaluated. Where study still ongoing, asked if they wish take part a new biomonitoring survey, involves them providing urine samples metabolite analysis completing information regarding their work activities at sampling. participant’s level determined by analyzing collected selected metabolites. results algorithm-based methods estimate individual during application re-entry work. Results: was funded September 2017. Enrollment sample collection completed Malaysia 2019 on-going Uganda Sample proceed 2020 first expected submitted publication 2021. Conclusions: consistency accuracy current algorithms assessing exposures. It indicate where amendments can made better capture future epidemiology thus improve exposure-disease associations.

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