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.
Similar content being viewed by others
References
Kelly T, Yang W, Chen CS, Reynolds K, He J (2008) Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond) 32:1431–1437
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S et al (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384:766–781
World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. 2007. Ref Type: Report
Clark MJ, Slavin JL (2013) The effect of fiber on satiety and food intake: a systematic review. J Am Coll Nutr 32:200–211
Hooper L, Abdelhamid A, Moore HJ, Douthwaite W, Skeaff CM, Summerbell CD (2012) Effect of reducing total fat intake on body weight: systematic review and meta-analysis of randomised controlled trials and cohort studies. BMJ 345:e7666
Roberts SB, Urban LE, Das SK (2014) Effects of dietary factors on energy regulation: consideration of multiple- versus single-dietary-factor models. Physiol Behav 134C:15–19
Boggs DA, Palmer JR, Spiegelman D, Stampfer MJ, ms-Campbell LL, Rosenberg L (2011) Dietary patterns and 14-y weight gain in African American women. Am J Clin Nutr 94:86–94
Newby PK, Muller D, Hallfrisch J, Qiao N, Andres R, Tucker KL (2003) Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr 77:1417–1425
Newby PK, Muller D, Hallfrisch J, Andres R, Tucker KL (2004) Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr 80:504–513
Schulz M, Nothlings U, Hoffmann K, Bergmann MM, Boeing H (2005) Identification of a food pattern characterized by high-fiber and low-fat food choices associated with low prospective weight change in the EPIC-Potsdam cohort. J Nutr 135:1183–1189
Schulze MB, Fung TT, Manson JE, Willett WC, Hu FB (2006) Dietary patterns and changes in body weight in women. Obesity (Silver Spring) 14:1444–1453
Shi Z, Yuan B, Hu G, Dai Y, Zuo H, Holmboe-Ottesen G (2011) Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study. Br J Nutr 105:1047–1054
Salehi-Abargouei A, Esmaillzadeh A, Azadbakht L, Keshteli AH, Feizi A, Feinle-Bisset C, Adibi P (2015) Nutrient patterns and their relation to general and abdominal obesity in Iranian adults: findings from the SEPAHAN study. Eur J Nutr. doi:10.1007/s00394-015-0867-4
Hersey JC, Wohlgenant KC, Arsenault JE, Kosa KM, Muth MK (2013) Effects of front-of-package and shelf nutrition labeling systems on consumers. Nutr Rev 71:1–14
Moskal A, Pisa PT, Ferrari P, Byrnes G, Freisling H, Boutron-Ruault MC, Cadeau C, Nailler L, Wendt A, Kuhn T, Boeing H, Buijsse B, Tjonneland A, Halkjaer J, Dahm CC, Chiuve SE, Quiros JR, Buckland G, Molina-Montes E, Amiano P, Huerta Castano JM, Gurrea AB, Khaw KT, Lentjes MA, Key TJ, Romaguera D, Vergnaud AC, Trichopoulou A, Bamia C, Orfanos P, Palli D, Pala V, Tumino R, Sacerdote C, de Magistris MS, Bueno-de-Mesquita HB, Ocke MC, Beulens JW, Ericson U, Drake I, Nilsson LM, Winkvist A, Weiderpass E, Hjartaker A, Riboli E, Slimani N (2014) Nutrient patterns and their food sources in an International Study Setting: report from the EPIC study. PLoS One 9:e98647
Riboli E, Kaaks R (1997) The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S6–S14
Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M, Charrondiere UR, Hemon B, Casagrande C, Vignat J, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Wahrendorf J, Boeing H, Trichopoulos D, Trichopoulou A, Vineis P, Palli D, Bueno-de-Mesquita HB, Peeters PH, Lund E, Engeset D, Gonzalez CA, Barricarte A, Berglund G, Hallmans G, Day NE, Key TJ, Kaaks R, Saracci R (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1113–1124
Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 45:569–581
Vergnaud AC, Norat T, Romaguera D, Mouw T, May AM, Travier N, Luan J, Wareham N et al (2010) Meat consumption and prospective weight change in participants of the EPIC-PANACEA study. Am J Clin Nutr 92:398–407
Vergnaud AC, Norat T, Romaguera D, Mouw T, May AM, Romieu I, Freisling H, Slimani N, Boutron-Ruault MC, Clavel-Chapelon F, Morois S, Kaaks R, Teucher B, Boeing H, Buijsse B, Tjonneland A, Halkjaer J, Overvad K, Jakobsen MU, Rodriguez L, Agudo A, Sanchez MJ, Amiano P, Huerta JM, Gurrea AB, Wareham N, Khaw KT, Crowe F, Orfanos P, Naska A, Trichopoulou A, Masala G, Pala V, Tumino R, Sacerdote C, Mattiello A, Bueno-de-Mesquita HB, van Duijnhoven FJ, Drake I, Wirfalt E, Johansson I, Hallmans G, Engeset D, Braaten T, Parr CL, Odysseos A, Riboli E, Peeters PH (2012) Fruit and vegetable consumption and prospective weight change in participants of the European Prospective Investigation into Cancer and Nutrition-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating Out of Home, and Obesity study. Am J Clin Nutr 95:184–193
Spencer EA, Appleby PN, Davey GK, Key TJ (2002) Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutr 5:561–565
Kaaks R, Slimani N, Riboli E (1997) Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S26–S36
Slimani N, Deharveng G, Unwin I, Southgate DA, Vignat J, Skeie G, Salvini S, Parpinel M, Moller A, Ireland J, Becker W, Farran A, Westenbrink S, Vasilopoulou E, Unwin J, Borgejordet A, Rohrmann S, Church S, Gnagnarella P, Casagrande C, van Bakel M, Niravong M, Boutron-Ruault MC, Stripp C, Tjonneland A, Trichopoulou A, Georga K, Nilsson S, Mattisson I, Ray J, Boeing H, Ocke M, Peeters PH, Jakszyn P, Amiano P, Engeset D, Lund E, de Magistris MS, Sacerdote C, Welch A, Bingham S, Subar AF, Riboli E (2007) The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 61:1037–1056
Chen M, Pan A, Malik VS, Hu FB (2012) Effects of dairy intake on body weight and fat: a meta-analysis of randomized controlled trials. Am J Clin Nutr 96:735–747
Jakobsen MU, Dethlefsen C, Due KM, May AM, Romaguera D, Vergnaud AC, Norat T, Sorensen TI, Halkjaer J, Tjonneland A, Boutron-Ruault MC, Clavel-Chapelon F, Fagherazzi G, Teucher B, Kuhn T, Bergmann MM, Boeing H, Naska A, Orfanos P, Trichopoulou A, Palli D, de Santucci MM, Sieri S, Bueno-de-Mesquita HB, van der A D, Engeset D, Hjartaker A, Rodriguez L, Agudo A, Molina-Montes E, Huerta JM, Barricarte A, Amiano P, Manjer J, Wirfalt E, Hallmans G, Johansson I, Khaw KT, Wareham NJ, Key TJ, Chajes V, Slimani N, Riboli E, Peeters PH, Overvad K (2013) Fish consumption and subsequent change in body weight in European women and men. Br J Nutr 109:353–362
Louie JC, Flood VM, Hector DJ, Rangan AM, Gill TP (2011) Dairy consumption and overweight and obesity: a systematic review of prospective cohort studies. Obes Rev 12:e582–e592
Wang H, Troy LM, Rogers GT, Fox CS, McKeown NM, Meigs JB, Jacques PF (2014) Longitudinal association between dairy consumption and changes of body weight and waist circumference: the Framingham Heart Study. Int J Obes (Lond) 38:299–305
Rouhani MH, Salehi-Abargouei A, Surkan PJ, Azadbakht L (2014) Is there a relationship between red or processed meat intake and obesity? A systematic review and meta-analysis of observational studies. Obes Rev 15:740–748
Halkjaer J, Olsen A, Overvad K, Jakobsen MU, Boeing H, Buijsse B, Palli D, Tognon G, Du H, van der A D, Forouhi NG, Wareham NJ, Feskens EJ, Sorensen TI, Tjonneland A (2011) Intake of total, animal and plant protein and subsequent changes in weight or waist circumference in European men and women: the Diogenes project. Int J Obes (Lond) 35:1104–1113
Vergnaud AC, Norat T, Mouw T, Romaguera D, May AM, Bueno-de-Mesquita HB, van der A D, Agudo A, Wareham N, Khaw KT, Romieu I, Freisling H, Slimani N, Perquier F, Boutron-Ruault MC, Clavel-Chapelon F, Palli D, Berrino F, Mattiello A, Tumino R, Ricceri F, Rodriguez L, Molina-Montes E, Amiano P, Barricarte A, Chirlaque MD, Crowe FL, Orfanos P, Naska A, Trichopoulou A, Teucher B, Kaaks R, Boeing H, Buijsse B, Johansson I, Hallmans G, Drake I, Sonestedt E, Jakobsen MU, Overvad K, Tjonneland A, Halkjaer J, Skeie G, Braaten T, Lund E, Riboli E, Peeters PH (2013) Macronutrient composition of the diet and prospective weight change in participants of the EPIC-PANACEA study. PLoS One 8:e57300
Ankarfeldt MZ, Gottliebsen K, Angquist L, Astrup A, Heitmann BL, Sorensen TI (2014) Dietary protein and urinary nitrogen in relation to 6-year changes in fat mass and fat-free mass. Int J Obes (Lond) 39:162–168
Kovalchik S (2009) Validity of adult lifetime self-reported body weight. Public Health Nutr 12:1072–1077
Park JY, Mitrou PN, Keogh RH, Luben RN, Wareham NJ, Khaw KT (2011) Effects of body size and sociodemographic characteristics on differences between self-reported and measured anthropometric data in middle-aged men and women: the EPIC-Norfolk study. Eur J Clin Nutr 65:357–367
Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69:243–249
Borland SE, Robinson SM, Crozier SR, Inskip HM (2008) Stability of dietary patterns in young women over a 2-year period. Eur J Clin Nutr 62:119–126
Freisling H, van Bakel MM, Biessy C, May AM, Byrnes G, Norat T, Rinaldi S, de Santucci MM, Grioni S, Bueno-de-Mesquita HB, Ocke MC, Kaaks R, Teucher B, Vergnaud AC, Romaguera D, Sacerdote C, Palli D, Crowe FL, Tumino R, Clavel-Chapelon F, Boutron-Ruault MC, Khaw KT, Wareham NJ, Trichopoulou A, Naska A, Orfanos P, Boeing H, Illner AK, Riboli E, Peeters PH, Slimani N (2012) Dietary reporting errors on 24 h recalls and dietary questionnaires are associated with BMI across six European countries as evaluated with recovery biomarkers for protein and potassium intake. Br J Nutr 107:910–920
Freisling H, Fahey MT, Moskal A, Ocke MC, Ferrari P, Jenab M, Norat T, Naska A, Welch AA, Navarro C, Schulz M, Wirfalt E, Casagrande C, Amiano P, Ardanaz E, Parr C, Engeset D, Grioni S, Sera F, Bueno-de-Mesquita HB, van der Schouw YT, Touvier M, Boutron-Ruault MC, Halkjaer J, Dahm CC, Khaw KT, Crowe F, Linseisen J, Kroger J, Huybrechts I, Deharveng G, Manjer J, Agren A, Trichopoulou A, Tsiotas K, Riboli E, Bingham S, Slimani N (2010) Region-specific nutrient intake patterns exhibit a geographical gradient within and between European countries. J Nutr 140:1280–1286
Acknowledgments
The work described in the paper was carried out with the financial support of the European Commission: Public Health and Consumer Protection Directorate 1993–2004; Research Directorate-General 2005; Ligue contre le Cancer (France); Société 3M (France); Mutuelle Générale de l’Education Nationale; Institut National de la Santé et de la Recherche Médicale (INSERM); Institut Gustave Roussy; German Cancer Aid; German Cancer Research Center; German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund (FIS) of the Spanish Ministry of Health; Spanish Regional Governments of Andalucía, Asturias, Basque Country, Murcia (No. 6236), Navarra, and ISCIII RTICC (RD06/0020/0091 and RD12/0036/0018), Spain; Cancer Research, UK; Medical Research Council, UK; Hellenic Health Foundation, Greece; Italian Association for Research on Cancer; Italian National Research Council, Regione Sicilia (Sicilian government); Associazione Iblea per la Ricerca Epidemiologica - ONLUS (Hyblean association for epidemiological research, NPO); Dutch Ministry of Health, Welfare and Sports; Dutch Prevention Funds; LK Research Funds; Dutch ZON (Zorg Onderzoek Nederland); Swedish Cancer Society; Swedish Research Council; Regional Government of Skane and the County Council of Vasterbotten, Sweden; Norwegian Cancer Society and the Norwegian Research Council. AM received additional funding from the Fondation de France.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethical standards
The study has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments and obtained ethical approval from participating centers and IARC ethics committees. Informed consent was given by all study participants.
Conflict of interest
The authors declare that they have no conflict of interest.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Freisling, H., Pisa, P.T., Ferrari, P. et al. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries. Eur J Nutr 55, 2093–2104 (2016). https://doi.org/10.1007/s00394-015-1023-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00394-015-1023-x