Missing portion sizes in FFQ--alternatives to use of standard portions.

ABSTRACT:

Objective

Standard portions or substitution of missing portion sizes with medians may generate bias when quantifying the dietary intake from FFQ. The present study compared four different methods to include portion sizes in FFQ.

Design

We evaluated three stochastic methods for imputation of portion sizes based on information about anthropometry, sex, physical activity and age. Energy intakes computed with standard portion sizes, defined as sex-specific medians (median), or with portion sizes estimated with multinomial logistic regression (MLR), 'comparable categories' (Coca) or k-nearest neighbours (KNN) were compared with a reference based on self-reported portion sizes (quantified by a photographic food atlas embedded in the FFQ).

Setting

The Danish Health Examinati

SUBMITTER: Koster-Rasmussen R 

PROVIDER: S-EPMC10271488 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature