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More SJ, Benford D, Hougaard Bennekou S, Bampidis V, Bragard C, Halldorsson TI, Hernández‐Jerez AF, Koutsoumanis K, Lambré C, Machera K, Mullins E, Nielsen SS, Schlatter J, Schrenk D, Turck D, Naska A, Poulsen M, Ranta J, Sand S, Wallace H, Bastaki M, Liem D, Smith A, Ververis E, Zamariola G, Younes M. Guidance on risk-benefit assessment of foods. EFSA J 2024; 22:e8875. [PMID: 39015302 PMCID: PMC11250173 DOI: 10.2903/j.efsa.2024.8875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024] Open
Abstract
The EFSA Scientific Committee has updated its 2010 Guidance on risk-benefit assessment (RBA) of foods. The update addresses methodological developments and regulatory needs. While it retains the stepwise RBA approach, it provides additional methods for complex assessments, such as multiple chemical hazards and all relevant health effects impacting different population subgroups. The updated guidance includes approaches for systematic identification, prioritisation and selection of hazardous and beneficial food components. It also offers updates relevant to characterising adverse and beneficial effects, such as measures of effect size and dose-response modelling. The guidance expands options for characterising risks and benefits, incorporating variability, uncertainty, severity categorisation and ranking of different (beneficial or adverse) effects. The impact of different types of health effects is assessed qualitatively or quantitatively, depending on the problem formulation, scope of the RBA question and data availability. The integration of risks and benefits often involves value-based judgements and should ideally be performed with the risk-benefit manager. Metrics such as Disability-Adjusted Life Years (DALYs) and Quality-Adjusted Life Years (QALYs) can be used. Additional approaches are presented, such as probability of all relevant effects and/or effects of given severities and their integration using severity weight functions. The update includes practical guidance on reporting results, interpreting outcomes and communicating the outcome of an RBA, considering consumer perspectives and responses to advice.
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De Oliveira Mota J, Boué G, Guillou S, Pierre F, Membré JM. Estimation of the burden of disease attributable to red meat consumption in France: Influence on colorectal cancer and cardiovascular diseases. Food Chem Toxicol 2019; 130:174-186. [PMID: 31103738 DOI: 10.1016/j.fct.2019.05.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 05/13/2019] [Accepted: 05/14/2019] [Indexed: 12/19/2022]
Abstract
The consumption of red meat has been associated with colorectal cancer (CRC) and cardiovascular disease (CVD) worldwide. The objective of this study was to assess quantitatively the burden of disease of CRC and CVD due to the consumption of red meat in France. A probabilistic risk assessment model quantifying the risk, deaths and disability adjusted life years (DALY) of both outcomes was built. In the model, uncertainty and variability were propagated separately. The model used data on current CRC and CVD incidence and red meat consumption in France, as well as dose-response from epidemiological studies. Results were given by age class and gender. A total of 19 [95% CI = 8-33] DALY per 100,000 people per year for CRC associated with red meat consumption was estimated. For CVD, 21 [95% CI = 12-32] DALY per 100,000 people per year was estimated. The uncertainty was mainly due to the dose-response, as revealed by a sensitivity analysis. A scenario analysis, performed on red meat intake, highlighted that consumption of less than 65 g per day could limit the risk of CRC and CVD in the most affected sub-populations.
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Affiliation(s)
| | - Géraldine Boué
- SECALIM, INRA, Oniris, Université Bretagne Loire, 44307, Nantes, France
| | - Sandrine Guillou
- SECALIM, INRA, Oniris, Université Bretagne Loire, 44307, Nantes, France
| | - Fabrice Pierre
- INRA, ToxAlim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, Toulouse, France
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Pires SM, Boué G, Boobis A, Eneroth H, Hoekstra J, Membré JM, Persson IM, Poulsen M, Ruzante J, van Klaveren J, Thomsen ST, Nauta MJ. Risk Benefit Assessment of foods: Key findings from an international workshop. Food Res Int 2018; 116:859-869. [PMID: 30717016 DOI: 10.1016/j.foodres.2018.09.021] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 09/06/2018] [Accepted: 09/08/2018] [Indexed: 11/20/2022]
Abstract
Whilst risk management measures, including food policy, are developed for the protection of public health and the environment, they may also lead to a reduction in health benefits. Policy decisions require then consideration of these necessary trade-offs, which leads to an increasing need to apply formal risk-benefit assessment (RBA) of foods. In this context, the European Food Safety Authority sponsored a Risk-Benefit Assessment Workshop on "past, current and future developments within the risk-benefit assessment of foods (RBA)" held in May 2017. The overall aims of the RBA Workshop were to discuss existing methods, challenges and needs within RBA, and to draft a roadmap for future development of RBA. The specific objectives were to i) identify RBA activities in Europe and globally; ii) discuss how to further develop and optimize RBA methodology; iii) identify challenges and opportunities within RBA; and iv) increase collaboration internationally. The two-day workshop gathered 28 participants from 16 institutions in 11 countries. It included technical presentations of RBA methods and case studies, and two break-out sessions for group discussions. All participants agreed that RBA has substantial potential to inform risk-management decisions in the areas of food safety, nutrition and public health. Several activities to optimize further developments within RBA were suggested. This paper provides a summary of workshop presentations, a discussion of challenges that limit progress in this area, and suggestions of next steps for this promising approach supporting a science-based decision process in the area of risk-benefit management of foods.
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Affiliation(s)
- Sara M Pires
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
| | - Géraldine Boué
- SECALIM, INRA, Oniris, Université Bretagne Loire, Nantes, France
| | - Alan Boobis
- Faculty of Medicine, Department of Medicine, Imperial College London, United Kingdom
| | - Hanna Eneroth
- Department of Risk Benefit Assessment, The National Food Agency, Uppsala, Sweden
| | - Jeljer Hoekstra
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | | - Inez Maria Persson
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Morten Poulsen
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Juliana Ruzante
- RTI International, Research Triangle Park, North Carolina, United States
| | - Jacob van Klaveren
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark; National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Sofie T Thomsen
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Maarten J Nauta
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Lyngby, Denmark
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Nauta MJ, Andersen R, Pilegaard K, Pires SM, Ravn-Haren G, Tetens I, Poulsen M. Meeting the challenges in the development of risk-benefit assessment of foods. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.04.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Hart A, Hoekstra J, Owen H, Kennedy M, Zeilmaker MJ, de Jong N, Gunnlaugsdottir H. Qalibra: a general model for food risk-benefit assessment that quantifies variability and uncertainty. Food Chem Toxicol 2012; 54:4-17. [PMID: 23261673 DOI: 10.1016/j.fct.2012.11.056] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2011] [Revised: 11/17/2012] [Accepted: 11/20/2012] [Indexed: 11/15/2022]
Abstract
The EU project BRAFO proposed a framework for risk-benefit assessment of foods, or changes in diet, that present both potential risks and potential benefits to consumers (Hoekstra et al., 2012a). In higher tiers of the BRAFO framework, risks and benefits are integrated quantitatively to estimate net health impact measured in DALYs or QALYs (disability- or quality-adjusted life years). This paper describes a general model that was developed by a second EU project, Qalibra, to assist users in conducting these assessments. Its flexible design makes it applicable to a wide range of dietary questions involving different nutrients, contaminants and health effects. Account can be taken of variation between consumers in their diets and also other characteristics relevant to the estimation of risk and benefit, such as body weight, gender and age. Uncertainty in any input parameter may be quantified probabilistically, using probability distributions, or deterministically by repeating the assessment with alternative assumptions. Uncertainties that are not quantified should be evaluated qualitatively. Outputs produced by the model are illustrated using results from a simple assessment of fish consumption. More detailed case studies on oily fish and phytosterols are presented in companion papers. The model can be accessed as web-based software at www.qalibra.eu.
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Affiliation(s)
- Andy Hart
- Food and Environment Research Agency, Sand Hutton, York, United Kingdom.
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