Optimising the selection of food items for FFQs using Mixed Integer Linear Programming.

ABSTRACT:

Objective

To support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.

Design

Selection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.

Results

The food lists generated by the MILP model have good performance in terms of length, coverage and R 2 (explained variance) of all nutrients. MILP-generated food lists were 32-40 % shorter than a benchmark food list,

SUBMITTER: Gerdessen JC 

PROVIDER: S-EPMC10271084 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature