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Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study

JMIR formative research, 2023-08, Vol.7, p.e41774-e41774

2023

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Pulse Intake Improves Nutrient Density among US Adult Consumers

Nutrients, 2021-07, Vol.13 (8), p.2668

2021

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Modelling the public health benefits of fibre fortification in the Chinese population through food reformulation

BMJ open, 2024-05, Vol.14 (5), p.e079924-e079924

2024

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Impact of sociodemographic factors on the consumption of tubers in Brazil

Nutrition journal, 2021-06, Vol.20 (1), p.1-54, Article 54

2021

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Contribution of base diet, voluntary fortified foods and supplements to micronutrient intakes in the UK

Journal of nutritional science (Cambridge), 2022-01, Vol.11, p.e51-e51, Article e51

2022

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Probabilistic Model to Assess the Impact of Sugar Taxation on Low/No-Calorie Sweeteners Displacing Added Sugar Intakes (P13-029-19)

Current developments in nutrition, 2019-06, Vol.3 (Suppl 1), p.nzz036.P13-029-19, Article nzz036.P13-029-19

Pigat, Sandrine

2019

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Nutrient intakes and iron and vitamin D status differ depending on main milk consumed by UK children aged 12–18 months – secondary analysis from the Diet and Nutrition Survey of Infants and Young Children

Journal of nutritional science (Cambridge), 2016, Vol.5, p.e32-e32, Article e32

2016

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Probabilistic Bioactive Food Compound Intakes in the European BACCHUS Project

The FASEB journal, 2015-04, Vol.29 (S1)

2015

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Micronutrient exposure modelling: To build a refined safety assessment for micronutrients

Toxicology letters, 2014-09, Vol.229, p.S119-S120

2014

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Estimating the potential public health impact of fibre enrichment: a UK modelling study

British journal of nutrition, 2022-11, Vol.128 (9), p.1868-1874

2022

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A Framework for the Predictive Modelling of Public Health Nutrition Strategies

The FASEB journal, 2015-04, Vol.29 (S1)

2015

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Combining National Food Consumption Survey Data with a Bioactive Database in a Probabilistic Intake Model to Assess Bioactive Intakes in Europe ‐ a Tool Resulting from the European BACCHUS Project

The FASEB journal, 2017-04, Vol.31 (S1)

2017

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A Probabilistic Intake Model to Estimate the Impact of Reformulation by the Food Industry in Irish Consumers

The FASEB journal, 2016-04, Vol.30 (S1)

2016

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Fibre and micronutrient intakes among fruit juice consumers and non‐consumers in the UK and France: Modelling the effects of consumption of an orange pomace juice product

Journal of human nutrition and dietetics, 2022-12, Vol.35 (6), p.1230-1244

2022

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The impact of food industry reformulation, innovation and consumer preference on dietary intakes in Ireland: a probabilistic intake model

Proceedings of the Nutrition Society, 2020, Vol.79 (OCE2), Article E417

2020

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eBASIS (Bioactive Substances in Food Information Systems) and Bioactive Intakes: Major Updates of the Bioactive Compound Composition and Beneficial Bioeffects Database and the Development of a Probabilistic Model to Assess Intakes in Europe

Nutrients, 2017-03, Vol.9 (4), p.320

2017

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Longitudinal modelling of the exposure of young UK patients with PKU to acesulfame K and sucralose

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment, 2017-11, Vol.34 (11), p.1863-1874

2017

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Probabilistic modelling to assess exposure to three artificial sweeteners of young Irish patients aged 1-3 years with PKU and CMPA

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment, 2016-11, Vol.33 (11), p.1660-1671

2016

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Predictive modelling of the exposure to steviol glycosides in Irish patients aged 1-3 years with phenylketonuria and cow's milk protein allergy

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment, 2018-01, Vol.35 (1), p.40-48

2018

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Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study

Pulse Intake Improves Nutrient Density among US Adult Consumers

Modelling the public health benefits of fibre fortification in the Chinese population through food reformulation

Impact of sociodemographic factors on the consumption of tubers in Brazil

Contribution of base diet, voluntary fortified foods and supplements to micronutrient intakes in the UK

Probabilistic Model to Assess the Impact of Sugar Taxation on Low/No-Calorie Sweeteners Displacing Added Sugar Intakes (P13-029-19)

Nutrient intakes and iron and vitamin D status differ depending on main milk consumed by UK children aged 12–18 months – secondary analysis from the Diet and Nutrition Survey of Infants and Young Children

Probabilistic Bioactive Food Compound Intakes in the European BACCHUS Project

Micronutrient exposure modelling: To build a refined safety assessment for micronutrients

Estimating the potential public health impact of fibre enrichment: a UK modelling study

A Framework for the Predictive Modelling of Public Health Nutrition Strategies

Combining National Food Consumption Survey Data with a Bioactive Database in a Probabilistic Intake Model to Assess Bioactive Intakes in Europe ‐ a Tool Resulting from the European BACCHUS Project

A Probabilistic Intake Model to Estimate the Impact of Reformulation by the Food Industry in Irish Consumers

Fibre and micronutrient intakes among fruit juice consumers and non‐consumers in the UK and France: Modelling the effects of consumption of an orange pomace juice product

The impact of food industry reformulation, innovation and consumer preference on dietary intakes in Ireland: a probabilistic intake model

eBASIS (Bioactive Substances in Food Information Systems) and Bioactive Intakes: Major Updates of the Bioactive Compound Composition and Beneficial Bioeffects Database and the Development of a Probabilistic Model to Assess Intakes in Europe

Longitudinal modelling of the exposure of young UK patients with PKU to acesulfame K and sucralose

Probabilistic modelling to assess exposure to three artificial sweeteners of young Irish patients aged 1-3 years with PKU and CMPA

Predictive modelling of the exposure to steviol glycosides in Irish patients aged 1-3 years with phenylketonuria and cow's milk protein allergy

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