Document Detail


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.
MedLine Citation:
PMID:  19888278     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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 (<or=6%). Strong similarities were observed for the first country-specific RRR factor between the individual countries, largely characterized by consumption of bread, vegetable oils, red meat, milk, cheese, potatoes, margarine and processed meat. The highest explained variation was seen for protein, potassium, phosphorus and magnesium (50-70%), whereas sugars, beta-carotene, retinol and alcohol were only marginally explained (<or=5%). The explained proportion of the other nutrients ranged between these extremes.
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.
Authors:
J Kröger; P Ferrari; M Jenab; C Bamia; M Touvier; H B Bueno-de-Mesquita; M T Fahey; V Benetou; M Schulz; E Wirfält; H Boeing; K Hoffmann; M B Schulze; P Orfanos; E Oikonomou; I Huybrechts; S Rohrmann; T Pischon; J Manjer; A Agren; C Navarro; P Jakszyn; M C Boutron-Ruault; M Niravong; K T Khaw; F Crowe; M C Ocké; Y T van der Schouw; A Mattiello; M Bellegotti; D Engeset; A Hjartåker; R Egeberg; K Overvad; E Riboli; S Bingham; N Slimani
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  European journal of clinical nutrition     Volume:  63 Suppl 4     ISSN:  1476-5640     ISO Abbreviation:  Eur J Clin Nutr     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-11-05     Completed Date:  2010-03-09     Revised Date:  2014-02-19    
Medline Journal Info:
Nlm Unique ID:  8804070     Medline TA:  Eur J Clin Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  S263-74     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Data Interpretation, Statistical
Diet / statistics & numerical data*
Diet Records
Diet Surveys
Energy Intake*
Europe
Female
Humans
Male
Middle Aged
Prospective Studies
Regression Analysis
Grant Support
ID/Acronym/Agency:
G0401527//Medical Research Council; //British Heart Foundation; //Cancer Research UK; //Department of Health; //Medical Research Council; //Wellcome Trust

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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