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Dataset Information

Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.


ABSTRACT:

Background

Meals differ in their nutritional content. This variation has not been fully addressed despite its potential contribution in understanding eating behavior. The aim of this study was to investigate the between-meal and between-individual variance in energy and macronutrient intake as a measure of variation in intake and the meal type-specific relative importance of predictors of these intake variations.

Methods

Energy and macronutrient intake were derived from three 24 h dietary recalls in an EPIC-Potsdam sub-cohort of 814 German adults. Intra-class correlation was calculated for participants and meal type. Predictors of intake were assessed using meal type-specific multilevel regression models in a structural equation modeling framework at intake and participant l

SUBMITTER: Schwedhelm C 

PROVIDER: S-EPMC6407220 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature