@article {Galea:2019:1743-1026:18,
title = "Impress: Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides",
journal = "Outlooks on Pest Management",
parent_itemid = "infobike://resinf/opm",
publishercode ="resinf",
year = "2019",
volume = "30",
number = "1",
publication date ="2019-02-01T00:00:00",
pages = "18-19",
itemtype = "ARTICLE",
issn = "1743-1026",
eissn = "1743-1034",
url = "https://www.ingentaconnect.com/content/resinf/opm/2019/00000030/00000001/art00005",
doi = "doi:10.1564/v30_feb_05",
keyword = "EPIDEMIOLOGY, PESTICIDE EXPOSURE, EXPOSURE ASSESSMENT",
author = "Galea, Karen S. and Basinas, Ioannis and Cherrie, John W. and Fuhrimann, Samuel and Harding, Anne-Helen and Jones, Kate and Kromhout, Hans and Ohlander, Johan and Povey, Andrew and Ahmad, Zulkhairul Naim Sidek and van Tongeren, Martie and Vermeulen, Roel",
abstract = "This article introduces 'IMPRESS: Improving exposure assessment methodologies for epidemiological studies on pesticides', a new research project focussed on better understanding the performance of exposure assessment methodologies in pesticide epidemiology studies. Exposure to certain
pesticides is suspected to result in several chronic diseases such as cancers, reproductive effects (e.g. reduced semen quality, low birth weight) and Parkinson's disease. Studying chronic health diseases requires the assessment of historical exposures. However, exposure measurement data are
rarely available. Therefore, assessment of historical exposures frequently needs to be based on self-reported information such as a person's job title, duration of employment, and/or whether they were ever exposed (yes/no) to pesticides or registered data like spray calendars. Naturally, such
exposure measures suffer from some limitations (e.g. the ability of a person to remember their exposure history over a long time-period), which may affect the conclusions of a study. The large number of pesticides and pesticide mixtures involved, and the seasonality and broad range of characteristics
regarding their application and use further complicates matters. With an increasing number of studies on occupational exposure to pesticides conducted each year, bias associated with respective exposure assessment methods may aggregate over time leading to potentially spurious associations
or associations going undetected. Understanding the performance of the applied surrogate measures in exposure assessment is therefore important to allow proper evaluation of the involved risks.",
}