RT Journal Article
T1 Main nutrient patterns are associated with prospective weight change in adults from 10 European countries.
A1 Freisling, Heinz
A1 Pisa, Pedro T
A1 Ferrari, Pietro
A1 Byrnes, Graham
A1 Moskal, Aurelie
A1 Dahm, Christina C
A1 Vergnaud, Anne-Claire
A1 Boutron-Ruault, Marie-Christine
A1 Fagherazzi, Guy
A1 Cadeau, Claire
A1 Kühn, Tilman
A1 Neamat-Allah, Jasmine
A1 Buijsse, Brian
A1 Boeing, Heiner
A1 Halkjær, Jytte
A1 Tjonneland, Anne
A1 Hansen, Camilla P
A1 Quirós, J Ramón
A1 Travier, Noémie
A1 Molina-Montes, Esther
A1 Amiano, Pilar
A1 Huerta, José M
A1 Barricarte, Aurelio
A1 Khaw, Kay-Tee
A1 Wareham, Nicholas
A1 Key, Tim J
A1 Romaguera, Dora
A1 Lu, Yunxia
A1 Lassale, Camille M
A1 Naska, Androniki
A1 Orfanos, Philippos
A1 Trichopoulou, Antonia
A1 Masala, Giovanna
A1 Pala, Valeria
A1 Berrino, Franco
A1 Tumino, Rosario
A1 Ricceri, Fulvio
A1 de Magistris, Maria Santucci
A1 Bueno-de-Mesquita, H Bas
A1 Ocké, Marga C
A1 Sonestedt, Emily
A1 Ericson, Ulrika
A1 Johansson, Mattias
A1 Skeie, Guri
A1 Weiderpass, Elisabete
A1 Braaten, Tonje
A1 Peeters, Petra H M
A1 Slimani, Nadia
K1 Dietary patterns
K1 Energy balance
K1 Nutrients
K1 Obesity
K1 Public health
K1 Weight gain
AB Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. This study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
YR 2015
FD 2015-08-25
LK http://hdl.handle.net/10668/10105
UL http://hdl.handle.net/10668/10105
LA en
DS RISalud
RD Apr 7, 2025