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

Janine Kroeger,Pietro Ferrari,M. Jenab,Christina Bamia,Mathilde Touvier,H. B. Bueno-De-Mesquita,Michael T. Fahey,V. Benetou,Mandy Schulz,Elisabet Wirfält,Heiner Boeing,Kurt Hoffmann,Matthias B. Schulze,Philippos Orfanos,Eleni Oikonomou,Inge Huybrechts,S. Rohrmann,Tobias Pischon,Jonas Manjer,Åsa Ågren,Carmen Navarro,Paula Jakszyn,M. C. Boutron-Ruault,M. Niravong,K. T. Khaw,Francesca L. Crowe,M.C. Ocké,Y. T. van der Schouw,Amalia Mattiello,M. Bellegotti,Dagrun Engeset,Anette Hjartåker,Rikke Egeberg,Kim Overvad,Elio Riboli,Sheila Bingham,Nadia Slimani

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

2009

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 ...

Keywords:

EPIC
Environmental health
Internal medicine
Nutrient
Regression
Endocrinology
Food science
European Prospective Investigation into Cancer and Nutrition
Food group
Biology
Population
nutrient intake
food components
reduced rank regression

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