Development of databases for use in validation studies of probabilistic models of dietary exposure to food chemicals and nutrients

Leclercq, Catherine; Arcella, Davide; Armentia, Alicia; Boon, Polly; Kruizinga, Astrid G.; Gilsenan, Mary B.; Thompson, Rachel

doi:10.1080/0265203031000134938

Cited by 17 publications

(9 citation statements)

References 21 publications

(23 reference statements)

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“…This technique offers the advantage of analyzing the actual diet of the child without the use of food consumption tables. This method more closely represents the child's actual diet and is therefore a very accurate way of sampling the diet [Leclercq et al, 2003;Franco et al, 2005a]. Another way to estimate fluoride intake over time is to apply questionnaires to the families periodically throughout the years, as previously done in an American study [Levy et al, 2001].…”

Section: Discussionmentioning

confidence: 99%

Prospective Study of the Association between Fluoride Intake and Dental Fluorosis in Permanent Teeth

et al. 2008

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Objective: To evaluate the relationship between fluoride intake and dental fluorosis in permanent central incisors and first molars. Methods: Fluoride intake (mg F/kg body weight/day) from diet, dentifrice and both combined was determined on a single occasion in 1998 among children aged 19–39 months living in two fluoridated Brazilian communities (0.6–0.8 ppm F). Six years later, when the permanent teeth of these children had erupted (central incisors and first molars), 49 children aged 7–9 years [20 girls (40.8%) and 29 boys (58.2%)] were evaluated for dental fluorosis. To test the association between fluorosis and fluoride intake, children were dichotomized into two groups, cases (children with dental fluorosis on at least two teeth, TFI ≧1) and noncases (children without dental fluorosis, TFI = 0). Results: Among the case group (n = 29), median fluoride doses from diet, dentifrice and combined were 0.031, 0.050 and 0.083 mg F/kg/day, respectively. Among the noncase group (n = 20), median fluoride doses were 0.029, 0.049, 0.084 mg F/kg/day, respectively. There was no association between dental fluorosis in permanent teeth and fluoride intake from diet, dentifrice and combined (p > 0.05). Conclusions: There was no difference between children with and without fluorosis in the permanent central incisors and first molars regarding fluoride intake. However, this study has limitations that must be recognized: fluoride intake was only measured once, and there were no children in the sample with severe degrees of dental fluorosis.

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Section: Discussionmentioning

confidence: 99%

Prospective Study of the Association between Fluoride Intake and Dental Fluorosis in Permanent Teeth

et al. 2008

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“…The fruit and vegetable container was analysed for the 19 selected pesticides , Leclercq et al 2003. The duplicate diet intake (DD-I) for the portion containing fruits and vegetables was estimated for each infant according to the following equation:…”

Section: A Similar Approach Tomentioning

confidence: 99%

Validation and sensitivity analysis of a probabilistic model for dietary exposure assessment to pesticide residues with a Basque Country duplicate diet study

Lopez

Rueda

Armentia

et al. 2003

Food Additives and Contaminants

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The 'fitness for purpose' of a probabilistic model designed to assess dietary exposure to pesticides was validated. The model had to meet two prerequisites. First, it should provide more realistic estimates of intake than conservative methods. Second, it should not underestimate 'true' intakes. True intakes were estimated using a duplicate diet study. Three approaches were used to check the prerequisites: visual comparison, a statistical test of a high percentile, and a comparison for each infant of the duplicate diet, conservative and model intake values. Compliance with the prerequisites was met for the six pesticides selected, in the three approaches. Model outcome distributions reduced the uncertainty, considered as the difference between conservative and duplicate diet intakes, by 75-98% for high percentiles, depending on the pesticides. A sensitivity analysis of the model based on analysis of variance for selected factors was conducted for three pesticides. The factors included concentration and food consumption input data presentations, values assigned to pesticide-food commodities without analysis, values assigned to samples with results below the limit of reporting, unit-to-unit variability and processing factors. Their significance and relevance were studied. Assigning values to pesticide-food commodities without analysis and processing factors, when available, were the most relevant factors in this study.

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“…is given, amongst others, by Vose (2006), Leclerq et al (2003), Ferrier et al (2002), and Kroes et al (2002).…”

Section: Introductionmentioning

confidence: 97%

Exposure assessment of the Belgian population to pesticide residues through fruit and vegetable consumption

Claeys

Voghel

Schmit

et al. 2008

Food Additives & Contaminants: Part A

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Development of databases for use in validation studies of probabilistic models of dietary exposure to food chemicals and nutrients

Cited by 17 publications

References 21 publications

Prospective Study of the Association between Fluoride Intake and Dental Fluorosis in Permanent Teeth

Prospective Study of the Association between Fluoride Intake and Dental Fluorosis in Permanent Teeth

Validation and sensitivity analysis of a probabilistic model for dietary exposure assessment to pesticide residues with a Basque Country duplicate diet study

Exposure assessment of the Belgian population to pesticide residues through fruit and vegetable consumption

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