Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 427729
Title An appeal for the presentation of detailed human derived data for dose-response calculations in nutritional science
Author(s) Jong, N. de; Verkaik-Kloosterman, J.; Verhagen, H.; Boshuizen, H.C.; Bokkers, B.; Hoekstra, J.
Source Food and Chemical Toxicology 54 (2013). - ISSN 0278-6915 - p. 43 - 49.
DOI https://doi.org/10.1016/j.fct.2012.07.069
Department(s) Chair Nutrition and Disease
Biometris (WU MAT)
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) continuous end-points - fish consumption - trend estimation - risk - stroke - metaanalysis - statement - quality - health - example
Abstract If a diet, food or food constituent is recognised to have both health benefits and health risks, the benefits have to be compared with the risks to develop coherent scientific evidence-based dietary advice. This means that both risk and benefit assessment should follow a similar paradigm and that benefits and risks are expressed in a common currency. Dose–response functions are vital for that purpose. However, the construction of these functions is often of second interest in the currently available (epidemiological) literature. In order to bring forward the potential of epidemiological studies for the construction of the dose–response functions for benefit–risk purposes, the scientific (nutrition and health) community is asked to expand on their data presentation, either by presenting more detailed data focusing on dose–response necessities, and/or by sharing primary data
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