Nutrient density model revisited

Borko Jovanovic*, Sally Freels, Faith Davis, Juliet VanEenwyk

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

One of the common obstacles in the analysis of nutrient data is the high correlation between nutrients (N) and total caloric intake (T) when used in a traditional multivariate model. This results in difficulties in separating the effect of N from the effect of T when they are simultaneously used in a statistical model. Using computer simulations and data from a case control study, we show that nutrient density N/T is weakly correlated with T even when N and T are highly correlated. As nutrient density has intuitive appeal to nutritional scientists and it is increasingly important to separate out the effect of specific nutrients from the effect of total calories on various health outcomes, the multivariate nutrient density model which includes both N/T and T should be utilized more often in nutritional epidemiology.

Original languageEnglish (US)
Pages (from-to)765-774
Number of pages10
JournalNutrition Research
Volume14
Issue number5
DOIs
StatePublished - May 1994
Externally publishedYes

Keywords

  • Collinearity
  • Nutrient
  • Nutrient density
  • Total Calories

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Nutrition and Dietetics

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