TY - JOUR
T1 - Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes
T2 - Findings from the European Food4Me Internet-Based RCT
AU - Celis-Morales, Carlos
AU - Livingstone, Katherine M.
AU - Petermann-Rocha, Fanny
AU - Navas-Carretero, Santiago
AU - San-Cristobal, Rodrigo
AU - ODonovan, Clare B.
AU - Moschonis, George
AU - Manios, Yannis
AU - Traczyk, Iwona
AU - Drevon, Christian A.
AU - Daniel, Hannelore
AU - Marsaux, Cyril F. M.
AU - Saris, Wim H. M.
AU - Fallaize, Rosalind
AU - Macready, Anna L.
AU - Lovegrove, Julie A.
AU - Gibney, Mike
AU - Gibney, Eileen R.
AU - Walsh, Marianne
AU - Brennan, Lorraine
AU - Martinez, J. Alfredo
AU - Mathers, John C.
AU - Food4Me Study
N1 - Funding Information:
This work was supported by the European Commission under the Food, Agriculture, Fisheries and Biotechnology Theme of the 7th Framework Programme for Research and Technological Development (265494). The sponsor had no role in the study's design or conduct, data collection, management, analysis or interpretation, manuscript preparation, review, or approval. Author responsibilities were as follows: JCM was the Food4Me intervention study coordinator. ERG, LB, YM, IT, CAD, JAL, JAM, WHMS, HD, MG, and JCM contributed to the research design. CCM, SNC, RS-C, CBO, GM, CFMM, RF, ALM, MW, and JCM conducted the intervention. CCM performed the statistical analyses for the manuscript. CCM, KML, FPR, and JCM drafted the paper. All authors contributed to a critical review of the manuscript during the writing process and approved the final version to be published. None of the authors reported a conflict of interest related to the study. No financial disclosures were reported by the authors of this paper. Carlos Celis-Morales, PhD and Katherine M. Livingstone, PhD contributed equally to this work and are joint first authors.
Funding Information:
This work was supported by the European Commission under the Food, Agriculture, Fisheries and Biotechnology Theme of the 7 th Framework Programme for Research and Technological Development (265494). The sponsor had no role in the study's design or conduct, data collection, management, analysis or interpretation, manuscript preparation, review, or approval. Author responsibilities were as follows: JCM was the Food4Me intervention study coordinator. ERG, LB, YM, IT, CAD, JAL, JAM, WHMS, HD, MG, and JCM contributed to the research design. CCM, SNC, RS-C, CBO, GM, CFMM, RF, ALM, MW, and JCM conducted the intervention. CCM performed the statistical analyses for the manuscript. CCM, KML, FPR, and JCM drafted the paper. All authors contributed to a critical review of the manuscript during the writing process and approved the final version to be published. None of the authors reported a conflict of interest related to the study.
Publisher Copyright:
© 2019 American Journal of Preventive Medicine
PY - 2019/8
Y1 - 2019/8
N2 - Introduction: This study tested the hypothesis that providing personalized nutritional advice and feedback more frequently would promote larger, more appropriate, and sustained changes in dietary behavior as well as greater reduction in adiposity.Study design: A 6-month RCT (Food4Me) was conducted in seven European countries between 2012 and 2013.Setting/participants: A total of 1,125 participants were randomized to Lower- (n=562) or Higher- (n=563) Frequency Feedback groups.Intervention: Participants in the Lower-Frequency group received personalized nutritional advice at baseline and at Months 3 and 6 of the intervention, whereas the Higher-Frequency group received personalized nutritional advice at baseline and at Months 1, 2, 3 and 6.Main outcome measures: The primary outcomes were change in dietary intake (at food and nutrient levels) and obesity-related traits (body weight, BMI, and waist circumference). Participants completed an online Food Frequency Questionnaire to estimate usual dietary intake at baseline and at Months 3 and 6 of the intervention. Overall diet quality was evaluated using the 2010 Healthy Eating Index. Obesity-related traits were self-measured and reported by participants via the Internet. Statistical analyses were performed during the first quarter of 2018.Results: At 3 months, participants in the Lower- and Higher-Frequency Feedback groups showed improvements in Healthy Eating Index score; this improvement was larger in the Higher-Frequency group than the Lower-Frequency group (Delta=1.84 points, 95% CI=0.79, 2.89,p=0.0001). Similarly, there were greater improvements for the Higher- versus Lower-Frequency group for body weight (Delta= -0.73 kg, 95% CI= -1.07, -0.38, pConclusions: At 3 months, higher-frequency feedback produced larger improvements in overall diet quality as well as in body weight and waist circumference than lower-frequency feedback. However, only body weight and BMI remained significant at 6 months. (C) 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
AB - Introduction: This study tested the hypothesis that providing personalized nutritional advice and feedback more frequently would promote larger, more appropriate, and sustained changes in dietary behavior as well as greater reduction in adiposity.Study design: A 6-month RCT (Food4Me) was conducted in seven European countries between 2012 and 2013.Setting/participants: A total of 1,125 participants were randomized to Lower- (n=562) or Higher- (n=563) Frequency Feedback groups.Intervention: Participants in the Lower-Frequency group received personalized nutritional advice at baseline and at Months 3 and 6 of the intervention, whereas the Higher-Frequency group received personalized nutritional advice at baseline and at Months 1, 2, 3 and 6.Main outcome measures: The primary outcomes were change in dietary intake (at food and nutrient levels) and obesity-related traits (body weight, BMI, and waist circumference). Participants completed an online Food Frequency Questionnaire to estimate usual dietary intake at baseline and at Months 3 and 6 of the intervention. Overall diet quality was evaluated using the 2010 Healthy Eating Index. Obesity-related traits were self-measured and reported by participants via the Internet. Statistical analyses were performed during the first quarter of 2018.Results: At 3 months, participants in the Lower- and Higher-Frequency Feedback groups showed improvements in Healthy Eating Index score; this improvement was larger in the Higher-Frequency group than the Lower-Frequency group (Delta=1.84 points, 95% CI=0.79, 2.89,p=0.0001). Similarly, there were greater improvements for the Higher- versus Lower-Frequency group for body weight (Delta= -0.73 kg, 95% CI= -1.07, -0.38, pConclusions: At 3 months, higher-frequency feedback produced larger improvements in overall diet quality as well as in body weight and waist circumference than lower-frequency feedback. However, only body weight and BMI remained significant at 6 months. (C) 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
KW - HEALTHY EATING INDEX
KW - WEIGHT-LOSS
KW - RISK-FACTORS
KW - INTERVENTIONS
KW - METAANALYSIS
U2 - 10.1016/j.amepre.2019.03.024
DO - 10.1016/j.amepre.2019.03.024
M3 - Article
C2 - 31248745
SN - 0749-3797
VL - 57
SP - 209
EP - 219
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
IS - 2
ER -