ArticleJournal of nutritional science2021
Log-ratio transformations for dietary compositions: numerical and conceptual questions.
Article in Journal of nutritional science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Association of Dietary Animal and Plant Protein Composition with All-Cause Mortality: 24-Year Population-Based Cohort Study.Nutrients · 2026Article
- Meat Consumption and Cognitive Health by APOE Genotype.JAMA network open · 2026Article
- Association of midlife macronutrient and mineral intake with subjective cognitive complaints in a prospective cohort of women.European journal of nutrition · 2026Article
- Preoperative Metabolic Predictors of Granulation Subtypes in Somatotroph Tumors: A Multicenter Retrospective Cohort Study.CNS neuroscience & therapeutics · 2026Article
- Characterising the dietary patterns of the European Roe Deer across biogeographical regions.European journal of wildlife research · 2026Review
- A comparison of methods for analysing compositional data with fixed and variable totals: a simulation study using the examples of time-use and dietary data.BMC medical research methodology · 2025Article
- Dietary habits and vaginal environment: can a beneficial impact be expected?Frontiers in cellular and infection microbiology · 2025Article
- The Dietary Carbohydrate/Fat-Ratio and Cognitive Performance: Panel Analyses in Older Adults at Risk for Dementia.Current developments in nutrition · 2023Article
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1 author.
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Abstract
When evaluating the impact of macronutrient intakes on health outcomes, researchers in nutritional epidemiology are mostly interested in two types of information: the relative importance of the individual macronutrients and the absolute effect of total energy intake. However, the usual substitution models do not allow these separate effects to be disentangled. Dietary data are typical examples of compositional data, which convey relative information and are, therefore, meaningfully expressed in the form of ratios. Various formulations of log-ratios have been proposed as a means of analysing compositional data, and their interrelationships when they are used as predictors in regression models have been previously reported. This note describes the application of distinct log-ratio transformations to the composition of dietary macronutrients and discusses the interpretative implications of using them as explanatory variables in regression models together with a term for the total composition (total energy intake). It also provides examples that consider serum glucose levels as the health outcome and are based on data coming from an Italian population-based study. The log-ratio transformation of dietary data has both numerical and conceptual advantages, and overcomes the drawbacks of traditional substitution models.
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