TY - JOUR
T1 - Main nutrient patterns are associated with prospective weight change in adults from 10 European countries
AU - Freisling, Heinz
AU - Pisa, Pedro T.
AU - Ferrari, Pietro
AU - Byrnes, Graham
AU - Moskal, Aurelie
AU - Dahm, Christina C.
AU - Vergnaud, Anne Claire
AU - Boutron-Ruault, Marie Christine
AU - Fagherazzi, Guy
AU - Cadeau, Claire
AU - Kühn, Tilman
AU - Neamat-Allah, Jasmine
AU - Buijsse, Brian
AU - Boeing, Heiner
AU - Halkjær, Jytte
AU - Tjonneland, Anne
AU - Hansen, Camilla P.
AU - Quirós, J. Ramón
AU - Travier, Noémie
AU - Molina-Montes, Esther
AU - Amiano, Pilar
AU - Huerta, José M.
AU - Barricarte, Aurelio
AU - Khaw, Kay Tee
AU - Wareham, Nicholas
AU - Key, Tim J.
AU - Romaguera, Dora
AU - Lu, Yunxia
AU - Lassale, Camille M.
AU - Naska, Androniki
AU - Orfanos, Philippos
AU - Trichopoulou, Antonia
AU - Masala, Giovanna
AU - Pala, Valeria
AU - Berrino, Franco
AU - Tumino, Rosario
AU - Ricceri, Fulvio
AU - de Magistris, Maria Santucci
AU - Bueno-de-Mesquita, H. Bas
AU - Ocké, Marga C.
AU - Sonestedt, Emily
AU - Ericson, Ulrika
AU - Johansson, Mattias
AU - Skeie, Guri
AU - Weiderpass, Elisabete
AU - Braaten, Tonje
AU - Peeters, Petra H M
AU - Slimani, Nadia
PY - 2016/9
Y1 - 2016/9
N2 - Purpose: 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.Methods: 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.Results: 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. Conclusions: We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
AB - Purpose: 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.Methods: 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.Results: 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. Conclusions: We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
KW - Dietary patterns
KW - Energy balance
KW - Nutrients
KW - Obesity
KW - Public health
KW - Weight gain
UR - http://www.scopus.com/inward/record.url?scp=84939817777&partnerID=8YFLogxK
U2 - 10.1007/s00394-015-1023-x
DO - 10.1007/s00394-015-1023-x
M3 - Article
C2 - 26303194
AN - SCOPUS:84939817777
SN - 1436-6207
VL - 55
SP - 2093
EP - 2104
JO - European Journal of Nutrition
JF - European Journal of Nutrition
IS - 6
ER -