TY - JOUR
T1 - Effect of personalized nutrition on health-related behaviour change
T2 - evidence from the Food4Me European randomized controlled trial
AU - Celis-Morales, Carlos
AU - Livingstone, Katherine M.
AU - Marsaux, Cyril F. M.
AU - Macready, Anna L.
AU - Fallaize, Rosalind
AU - O'Donovan, Clare B.
AU - Woolhead, Clara
AU - Forster, Hannah
AU - Walsh, Marianne C.
AU - Navas-Carretero, Santiago
AU - San-Cristobal, Rodrigo
AU - Tsirigoti, Lydia
AU - Lambrinou, Christina P.
AU - Mavrogianni, Christina
AU - Moschonis, George
AU - Kolossa, Silvia
AU - Hallmann, Jacqueline
AU - Godlewska, Magdalena
AU - Surwillo, Agnieszka
AU - Traczyk, Iwona
AU - Drevon, Christian A.
AU - Bouwman, Jildau
AU - van Ommen, Ben
AU - Grimaldi, Keith
AU - Parnell, Laurence D.
AU - Matthews, John N. S.
AU - Manios, Yannis
AU - Daniel, Hannelore
AU - AlfredoMartinez, J.
AU - Lovegrove, Julie A.
AU - Gibney, Eileen R.
AU - Brennan, Lorraine
AU - Saris, Wim H. M.
AU - Gibney, Mike
AU - Mathers, John C.
AU - FoodMe Study
PY - 2017/4
Y1 - 2017/4
N2 - Background: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour.Methods: Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention.Results: At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m(2). From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P = 0.046], salt [-0.65 g, (-1.1,-0.25), P = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), PConclusions: Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.
AB - Background: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour.Methods: Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention.Results: At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m(2). From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P = 0.046], salt [-0.65 g, (-1.1,-0.25), P = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), PConclusions: Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.
KW - Personalized nutrition
KW - internet-based
KW - randomized controlled trial
KW - genotype
KW - phenotype
KW - obesity
KW - diet
KW - metabolic health
KW - NONCOMMUNICABLE DISEASES
KW - QUESTIONNAIRE
KW - RESPONSES
KW - INDEX
KW - WEB
U2 - 10.1093/ije/dyw186
DO - 10.1093/ije/dyw186
M3 - Article
C2 - 27524815
SN - 0300-5771
VL - 46
SP - 578
EP - 588
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
IS - 2
ER -