Publications

Browse our publications

Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries, Genes and Nutrition

Improving lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing well-being. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Therefore, the aim of…
Read paper
Authors: Celis-Morales Carlos, E. J. Daly et al on behalf of the Food4Me Study
Publication date: 10/12/2014

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized…
Read paper
Authors: Forster H, Walsh MC, O’Donovan CB, Woolhead C, McGirr C, Daly E, O’Riordan R, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou CP, Godlewska M, Surwiłło A, Gjelstad IMF, Drevon CA, Manios Y, Traczyk I, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, Brennan L
Publication date: 30/06/2016

Associations of vitamin D status with dietary intakes and physical activity levels among adults from seven European countries: the Food4Me study

Purpose To report the vitamin D status in adults from seven European countries and to identify behavioural correlates. Methods In total, 1075 eligible adult men and women from Ireland, Netherlands, Spain, Greece, UK, Poland and Germany, were included in the study. Results Vitamin D deficiency and insufficiency, defined as…
Read paper
Authors: Manios Y. et al on behalf of the Food4Me Study
Publication date: 13/03/2017

Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study

Background National guidelines emphasize healthy eating to promote wellbeing and prevention of non-communicable diseases. The perceived healthiness of food is determined by many factors affecting food intake. A positive perception of healthy eating has been shown to be associated with greater diet quality. Internet-based methodologies allow contact with large…
Read paper
Authors: San-Cristobal R. et al on behalf of the Food4Me Study
Publication date: 11/12/2017

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…
Read paper
Authors: Macready A. et al on behalf of the Food4Me study
Publication date: 09/04/2018

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…
Read paper
Authors: Marsaux C. FM et al on behalf of the Food4Me Study
Publication date: 05/02/2016
springer Genes Nutrition self-reported identity socio-demographic and obesity measures

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…
Read paper
Authors: Celis-Morales Carlos – Et al on behalf of the Food4Me Study
Publication date: 05/07/2015

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,…
Read paper
Authors: Fallaize R. et al on behalf of the Food4Me Study
Publication date: 06/01/2018

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…
Read paper
Authors: Stewart-Knox B.J. et al on behalf of the Food4Me Study
Publication date: 02/08/2016
Linkedin Twitter Youtube

Industries

Products

Services

About

© Creme Global 2024
Company Registration Number: 400692
VAT Number: IE 6420692E
Download The Overview Now

Data Sharing on Creme Global Platform

Gain critical business intelligence
from shared, anonymized data.