Application of Behavior Change Techniques in a Personalized Nutrition Electronic Health Intervention Study: Protocol for the Web-Based Food4Me Randomized Controlled Trial

Background: To determine the efficacy of behavior change techniques applied in dietary and physical activity intervention studies, it is first necessary to record and describe techniques that have been used during such interventions. Published frameworks used in dietary and smoking cessation interventions undergo continuous development, and most are not…

Authors: Macready A. et al on behalf of the Food4Me study

Publication date: 09/04/2018

All Publications, Nutrition, Personalised Nutrition

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

The purpose of this study was to determine if disclosing FTO risk had an impact on change in PA following a 6-month intervention. The single nucleotide polymorphism (SNP) rs9939609 in the FTO gene was genotyped in 1279 participants of the Food4Me study, a four-arm, Web-based randomized controlled trial (RCT) in 7 European countries…

Authors: Marsaux C. FM et al on behalf of the Food4Me Study

Publication date: 05/02/2016

All Publications, Nutrition, Personalised Nutrition

How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in…

Authors: Celis-Morales Carlos – Et al on behalf of the Food4Me Study

Publication date: 05/07/2015

All Publications, Nutrition, Personalised Nutrition

Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study

Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore,…

Authors: Fallaize R. et al on behalf of the Food4Me Study

Publication date: 06/01/2018

All Publications, Nutrition, Personalised Nutrition

Making personalised nutrition the easy choice: Creating policies to break down the barriers and reap the benefits

Personalised diets based on people’s existing food choices, and/or phenotypic, and/or genetic information hold potential to improve public dietary-related health. The aim of this analysis, therefore, has been to examine the degree to which factors which determine uptake of personalised nutrition vary between EU countries to better target policies…

Authors: Stewart-Knox B.J. et al on behalf of the Food4Me Study

Publication date: 02/08/2016

All Publications, Nutrition, Personalised Nutrition

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

Authors: O’Keeffe L., S Pigat

Publication date: 01/10/2014

All Publications, Exposure, Food Safety, Nutrition

Probabilistic Bioactive Food Compound Intakes in the European BACCHUS Project

The EU funded BACCHUS project aims to develop tools and resources to study relationships between bioactive food compound intakes and cardiovascular health in humans. To handle variation and uncertainty of bioactive levels in foods a probabilistic model of bioactive intakes was used to estimate distributions of population intakes….

Authors: Pigat Sandrine, Rosalyn O’Connor

Publication date: 01/04/2015

All Publications, Chemicals, Exposure, Food Safety, Nutrition

A Framework for the Predictive Modelling of Public Health Nutrition Strategies

Within public health nutrition, it is of crucial importance to monitor adequate as well as safe nutritional intakes within a population. Food policy initiatives around dietary intakes include voluntary industry reformulation, portion size reductions, food fortification and consumer behavioral changes. Predictive intake models can be used to assess the…

Authors: Pigat, S., O’Mahony, C.

Publication date: 18/01/2019

All Publications, Exposure, Nutrition, Technology

Aggregate exposure modelling of vitamin A from cosmetic products, diet and food supplements

Realism is important in estimating consumer exposure to a substance, especially when accounting for exposure from multiple sources. Humans are exposed to vitamin A from food, dietary supplements and cosmetics products. A probabilistic aggregate exposure model was developed for estimating exposure distributions to vitamin A (as retinol equivalents) in pre-/post-menopausal, and…

Authors: Tozer, S & Cian O’Mahony, Jen Hannah, John O’Brien, Seamus Kelly, Kirstin Kosemund-Meynen, Camilla Alexander-White

Publication date: 31/05/2019

All Publications, Exposure, Food Safety, Nutrition

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