Fulltext

Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Freisling H 1 , Pisa PT 2 , Ferrari P 2 , Byrnes G 2 , Moskal A 2 , Dahm CC 3 Show all authors , Vergnaud AC 4 , Boutron-Ruault MC 5 , Fagherazzi G 5 , Cadeau C 5 , Kühn T 6 , Neamat-Allah J 6 , Buijsse B 7 , Boeing H 7 , Halkjær J 8 , Tjonneland A 8 , Hansen CP 3 , Quirós JR 9 , Travier N 10 , Molina-Montes E 11 , Amiano P 12 , Huerta JM 13 , Barricarte A 14 , Khaw KT 15 , Wareham N 16 , Key TJ 17 , Romaguera D 4 , Lu Y 4 , Lassale CM 4 , Naska A 18 , Orfanos P 18 , Trichopoulou A 18 , Masala G 19 , Pala V 20 , Berrino F 20 , Tumino R 21 , Ricceri F 22 , de Magistris MS 23 , Bueno-de-Mesquita HB 4 , Ocké MC 24 , Sonestedt E 25 , Ericson U 26 , Johansson M 2 , Skeie G 27 , Weiderpass E 27 , Braaten T 27 , Peeters PH 28 , Slimani N 2

Affiliations 

  • 1 International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France. freislingh@fellows.iarc.fr
  • 2 International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
  • 3 Section of Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
  • 4 Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
  • 5 Centre for Research in Epidemiology and Population Health (CESP), Nutrition, Hormones and Women's Health Team, INSERM, Villejuif, France
  • 6 Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
  • 7 Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany
  • 8 Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
  • 9 Public Health Directorate, Asturias, Spain
  • 10 Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
  • 11 Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
  • 12 Public Helath Division of Gipuzkoa, Basque Health Department, BioDonostia Research Institute, San Sebastián, Spain
  • 13 CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
  • 14 Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
  • 15 Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK
  • 16 Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
  • 17 Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
  • 18 Hellenic Health Foundation, Athens, Greece
  • 19 Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, ISPO, Florence, Italy
  • 20 Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
  • 21 Cancer Registry, Azienda Ospedaliera "Civile M.P. Arezzo", Ragusa, Italy
  • 22 Unit of Cancer Epidemiology - CERMS, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza Hospital, Turin, Italy
  • 23 Department of Clinical and Experimental Medicine, Frederico II University, Naples, Italy
  • 24 National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
  • 25 Department of Clinical Sciences, Lund University, Malmö, Sweden
  • 26 Diabetes and Cardiovascular Disease, Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
  • 27 Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsö, Norway
  • 28 Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
Eur J Nutr, 2016 Sep;55(6):2093-104.
PMID: 26303194 DOI: 10.1007/s00394-015-1023-x

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications