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Hoekstra J.,National Institute of for Public Health and the Environment RIVM | Hart A.,UK Environment Agency | Owen H.,UK Environment Agency | Zeilmaker M.,National Institute of for Public Health and the Environment RIVM | And 3 more authors.
Food and Chemical Toxicology | Year: 2013

This paper describes a quantitative risk-benefit assessment of fish consumption. We compare the net health effect expressed in DALYs of two scenarios. The reference scenario is the current fish intake of the Dutch population, which is less than what is recommended by the health authorities. The alternative scenario describes the health effects if the population consumes 200. g of fish per week, which is close to the recommendation. All health effects due to fish consumption for which there is convincing evidence are incorporated in the assessment. The QALIBRA software (www.qalibra.eu) is used to simulate the two scenarios. The results show there is a net benefit for the population if it consumes 200. g of fish each week. © 2012 Elsevier Ltd.


Hoekstra J.,National Institute of for Public Health and the Environment RIVM | Fransen H.P.,National Institute of for Public Health and the Environment RIVM | van Eijkeren J.C.H.,National Institute of for Public Health and the Environment RIVM | Verkaik-Kloosterman J.,National Institute of for Public Health and the Environment RIVM | And 5 more authors.
Food and Chemical Toxicology | Year: 2013

This paper presents the benefit-risk assessment of adding plant sterols to margarine as an illustration of the QALIBRA method and software. With the QALIBRA tool health effects, risks as well as benefits are expressed in a common metric (DALY) which allows quantitative balancing of benefits and risks of food intake. The QALIBRA software can handle uncertainties in a probabilistic simulation. This simple case study illustrates the data need and assumptions that go into a quantitative benefit-risk assessment. The assessment shows that the benefits of plant sterols added to margarine outweigh the risks, if any. © 2012 Elsevier Ltd.

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