Specific food group combinations explaining the variation in intakes of nutrients and other important food components in the European Prospective Investigation into Cancer and Nutrition: an application of the reduced rank regression method.

TitleSpecific food group combinations explaining the variation in intakes of nutrients and other important food components in the European Prospective Investigation into Cancer and Nutrition: an application of the reduced rank regression method.
Publication TypeJournal Article
Year of Publication2009
AuthorsKröger, J, Ferrari, P, Jenab, M, Bamia, C, Touvier, M, Bueno-de-Mesquita, HB, Fahey, MT, Benetou, V, Schulz, M, Wirfält, E, Boeing, H, Hoffmann, K, Schulze, MB, Orfanos, P, Oikonomou, E, Huybrechts, I, Rohrmann, S, Pischon, T, Manjer, J, Agren, A, Navarro, C, Jakszyn, P, Boutron-Ruault, MC, Niravong, M, Khaw, KT, Crowe, F, Ocké, MC, van der Schouw, YT, Mattiello, A, Bellegotti, M, Engeset, D, Hjartåker, A, Egeberg, R, Overvad, K, Riboli, E, Bingham, S, Slimani, N
JournalEur J Clin Nutr
Volume63 Suppl 4
PaginationS263-74
Date Published2009 Nov
ISSN1476-5640
KeywordsAdult, Aged, Data Interpretation, Statistical, Diet, Diet Records, Diet Surveys, Energy Intake, Europe, Female, Humans, Male, Middle Aged, Prospective Studies, Regression Analysis
Abstract

OBJECTIVE: To identify combinations of food groups that explain as much variation in absolute intakes of 23 key nutrients and food components as possible within the country-specific populations of the European Prospective Investigation into Cancer and Nutrition (EPIC).SUBJECTS/METHODS: The analysis covered single 24-h dietary recalls (24-HDR) from 36,034 subjects (13,025 men and 23,009 women), aged 35-74 years, from all 10 countries participating in the EPIC study. In a set of 39 food groups, reduced rank regression (RRR) was used to identify those combinations (RRR factors) that explain the largest proportion of variation in intake of 23 key nutrients and food components, namely, proteins, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, cholesterol, sugars (sum of mono- and disaccharides), starch, fibre, alcohol, calcium, iron, potassium, phosphorus, magnesium, vitamin D, beta-carotene, retinol and vitamins E, B1, B2, B6, B12 and C (RRR responses). Analyses were performed at the country level and for all countries combined.RESULTS: In the country-specific analyses, the first RRR factor explained a considerable proportion of the total nutrient intake variation in all 10 countries (27.4-37.1%). The subsequent RRR factors were much less important in explaining the variation (CONCLUSIONS: A combination of food groups was identified that explained a considerable proportion of the nutrient intake variation in 24-HDRs in every country-specific EPIC population in a similar manner. This indicates that, despite the large variability in food and nutrient intakes reported in the EPIC, the variance of intake of important nutrients is explained, to a large extent, by similar food group combinations across countries.

DOI10.1038/ejcn.2009.85
Alternate JournalEur J Clin Nutr
Citation Key10.1038/ejcn.2009.85
PubMed ID19888278
Grant List / / British Heart Foundation / United Kingdom
/ / Department of Health / United Kingdom
/ / Cancer Research UK / United Kingdom
G0401527 / / Medical Research Council / United Kingdom
/ / Wellcome Trust / United Kingdom