Tennant, D and Gosling, JP (2015) Modelling consumer intakes of vegetable oils and fats. Food Additives and Contaminants: Part A: Chemistry, Analysis, Control, Exposure and Risk Assessment, 32 (9). 1397 - 1405. ISSN 1944-0057
Abstract
Vegetable oils and fats make up a significant part of the energy intake in typical European diets. However, their use as ingredients in a diverse range of different foods means that their consumption is often hidden, especially when oils and fats are used for cooking. As a result, there are no reliable estimates of the consumption of different vegetable oils and fats in the diet of European consumers for use in for example, nutritional assessments or chemical risk assessments. We have developed an innovative model to estimate the consumption of vegetable oils and fats by EU consumers using the EU consumption databases and elements of probabilistic modelling. A key feature of our approach is the assessment of uncertainty in the modelling assumptions that can be used to build user confidence and to guide future development.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, Taylor and Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Food Additives and Contaminants: Part A: Chemistry, Analysis, Control, Exposure and Risk Assessment on 10th July 2015, available online: http://wwww.tandfonline.com/10.1080/19440049.2015.1069407 |
Keywords: | dietary exposure modelling; EFSA database; intake modelling; probabilistic modelling; vegetable fats; vegetable oils |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Jul 2015 11:22 |
Last Modified: | 11 Jul 2016 12:00 |
Published Version: | http://dx.doi.org/10.1080/19440049.2015.1069407 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/19440049.2015.1069407 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88340 |