Use and impact of usual intake models on dietary exposure estimate and risk assessment of chemical substances: a practical example for cadmium, acrylamide and sulphites

References

• ANSES. 2011a. The second total diet study (TDS2) – part 1: inorganic contaminants, minerals, persistent organic pollutants, mycotoxins. Rapport d’expertise. E. scientifique. Maisons-Alfort, ANSES: 346.
   Google Scholar
• ANSES. 2011b. The second total diet study – part 2: pesticide residues, additives, acrylamide, polycyclic aromatic hydrocarbons. Rapport d’expertise. E. scientifique. Maisons-Alfort, ANSES: 405.
   Google Scholar
• Arnich N, Sirot V, Rivière G, Jean J, Noël L, Guérin T, Leblanc J-C. 2012. Dietary exposure to trace elements and health risk assessment in the 2nd French total diet study. Food Chem Toxicol. 50:2432–2449.
   PubMed Web of Science ®Google Scholar
• Beaton GH, Milner J, Corey P, McGuire V, Cousins M, Stewart E, de Ramos M, Hewitt D, Grambsch PV, Kassim N, Little JA. 1979. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr. 32:2546–2559.
   PubMed Web of Science ®Google Scholar
• Bemrah N, Vin K, Sirot V, Aguilar F, Ladrat A-C, Ducasse C, Gey J-L, Rétho C, Nougadere A, Leblanc J-C. 2012. Assessment of dietary exposure to annatto (E160b), nitrites (E249-250), sulphites (E220-228) and tartaric acid (E334) in the French population: the second French total diet study. Food Addit Contam: Part A. 29:875–885.
   PubMed Web of Science ®Google Scholar
• De Boer WJ, van der Voet H, Bokkers BGH, Bakker MI, Boon PE. 2009. Comparison of two models for the estimation of usual intake addressing zero consumption and non-normality. Food Addit Contam: Part A. 26:1433–1449.
   Web of Science ®Google Scholar
• Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith SM. 2006. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc. 106:1640–1650.
   PubMed Web of Science ®Google Scholar
• Dubuisson C, Lioret S, Touvier M, Dufour A, Calamassi-Tran G, Volatier JL, Lafay L. 2010. Trends in food and nutritional intakes of French adults from 1999 to 2007: results from the INCA surveys. Br J Nutr. 103:1035–1048.
   PubMed Web of Science ®Google Scholar
• EFSA Panel on Contaminants in the Food Chain (CONTAM). 2009. Scientific opinion on cadmium in food. EFSA J. 980:1–139.
   Google Scholar
• EFSA Panel on Contaminants in the Food Chain (CONTAM). 2011. Scientific opinion on tolerable weekly intake for cadmium. EFSA J. 9(2):1975.
   Google Scholar
• [EFSA] European Food Safety Authority. 2014. Guidance on the EU menu methodology. EFSA J. 2014;12:3944.
   Google Scholar
• Goedhart PW, van der Voet H, Knüppel S, Dekkers ALM, Dodd KW, Boeing H, van Klaveren JD. 2012. A comparison by simulation of different methods to estimate the usual intake distribution for episodically consumed foods [Internet]. Supporting Publications 2012:EN-299. 65p [cited 2015 Jan 30]. Available from: http://www.efsa.europa.eu/en/supporting/doc/299e.pdf
   Google Scholar
• Hartman AM, Brown CC, Palmgren J, Pietinen P, Verkasalo M, Myer D, Virtamo J. 1990. Variability in nutrient and food intakes among older middle-aged men. Implications for design of epidemiologic and validation studies using food recording. Am J Epidemiol. 132:999–1012.
   PubMed Web of Science ®Google Scholar
• Hoffmann K, Boeing H, Dufour A, Volatier JL, Telman J, Virtanen M, Becker W, De Henauw S. 2002. Estimating the distribution of usual dietary intake by short-term measurements. Eur J Clin Nutr. Suppl 56:SS53–62.
   Web of Science ®Google Scholar
• Huybrechts I, Sioen I, Boon PE, Ruprich J, Lafay L, Turrini A, Amiano P, Hirvonen T, De Neve M, Arcella D, et al. 2011. Dietary exposure assessments for children in europe (the EXPOCHI project): rationale, methods and design. Arch Public Health Arch Belg Santé Publique. 69:4.
   Google Scholar
• [JECFA] Joint FAO/WHO expert committee on food additives. 2008. Evaluation of certain food contaminants: sixty-ninth report of the Joint FAO/WHO expert committee on food additives. Geneva (Switzerland): WHO. WHO technical report series 952.
   Google Scholar
• [JECFA] Joint FAO/WHO expert committee on food additives. 2011. Evaluation of certain food contaminants: seventy-second report of the Joint FAO/WHO expert committee on food additives. Geneva (Switzerland): WHO. WHO technical report series 959.
   Google Scholar
• Mackerras D, Rutishauser I. 2005. 24-hour national dietary survey data: how do we interpret them most effectively? Public Health Nutr. 8:657–665.
   PubMed Web of Science ®Google Scholar
• Roodenburg AJC, van Ballegooijen AJ, Dötsch-Klerk M, van der Voet H, Seidell JC. 2013. Modelling of usual nutrient intakes: potential impact of the choices programme on nutrient intakes in young dutch adults. PLoS ONE. 8:e72378.
   PubMed Web of Science ®Google Scholar
• Sirot V, Hommet F, Tard A, Leblanc J-C. 2012. Dietary acrylamide exposure of the French population: results of the second French total diet study. Food Chem Toxicol. 50:889–894.
   PubMed Web of Science ®Google Scholar
• Sirot V, Volatier JL, Calamassi-Tran G, Dubuisson C, Ménard C, Dufour A, Leblanc JC. 2009. Core food of the French food supply: second total diet study. Food Addit Contam: Part A. 26:623–639.
   Web of Science ®Google Scholar
• Thompson FE, Subar AF. (2013). Chapter 1 – dietary assessment methodology. In Coulston AM, Boushey CJ, Ferruzzi MG, editors, Nutrition in the prevention and treatment of disease 3rd ed. Oxford: Academic Press; p. 5–46.
   Google Scholar
• Tooze JA, Midthune D, Dodd KW, Freedman LS, Krebs-Smith SM, Subar AF, Guenther PM, Carroll RJ, Kipnis V. 2006. A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc. 106:1575–1587.
   PubMed Web of Science ®Google Scholar
• Tran NL, Barraj L, Smith K, Javier A, Burke TA. 2004. Combining food frequency and survey data to quantify long-term dietary exposure: a methyl mercury case study. Risk Anal Off Publ Soc Risk Anal. 24:19–30.
   PubMed Web of Science ®Google Scholar
• Vally H, Misso NLA. 2012. Adverse reactions to the sulphite additives. Gastroenterol Hepatol Bed Bench. 5:16–23.
   PubMedGoogle Scholar
• Van der Voet H, Kruisselbrink J, de Boer WJ, Boon PE. 2014. Model-then-add: usual intake modelling of multimodal intake distributions. Bilthoven (The Netherlands): National Institute for Public Health and the Environment. RIVM Letter report 090133001/2014.
   Google Scholar
• Van Klaveren JD, Goedhartb PW, Wapperoma D, van der Voet H. 2012. External scientific report: a European tool for usual intake distribution estimation in relation to data collection by EFSA. Parma (Italy): Supporting Publications 2012:EN-300.
   Google Scholar