Food choices to meet nutrient recommendations for the adult Brazilian population based on the linear programming approach

To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes. Linear programming was used to obtain an optimized diet with sixty-eight foods with the least difference from the observed population mean dietary intake while meeting a set of...

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Bibliographic Details
Published in:	Public health nutrition Vol. 21; no. 8; pp. 1538 - 1545
Main Authors:	dos Santos, Quenia, Sichieri, Rosely, Darmon, Nicole, Maillot, Matthieu, Verly-Junior, Eliseu
Format:	Journal Article
Language:	English
Published:	Cambridge, UK Cambridge University Press 01.06.2018 Cambridge University Press (CUP)
Subjects:	Adequacy Adult Adults Beans Beverages Brazil Brazil - epidemiology calcium Cancer Cereals Constraint modelling Cross-Sectional Studies Diet Diet - statistics & numerical data Dietary intake dietary recommendations dietary surveys Energy Female fish Food Food and Nutrition food choices food intake Food Preferences - physiology fruits Households Humans Life Sciences Limiting nutrients Linear programming Linolenic acid magnesium Male Meat Medical research men Methods milk Models, Theoretical nutrient intake Nutrients Nutrition research nutritional adequacy Nutritional Epidemiology Nutritive Value - physiology Older people Population processed meat Programming, Linear Public health Recommended Dietary Allowances red meat Research Papers rice Seafood seafoods Snack foods snacks sodium Statistical analysis Sugar sugar sweetened beverages Surveys and Questionnaires trans fatty acids Vegetables Vitamin D Vitamins women Young Adult zinc Brazil Linear programming Nutrients Food selection Diet modelling Diet optimization diet optimization linear programming food selection diet modelling nutrients
ISSN:	1368-9800, 1475-2727, 1475-2727
Online Access:	Get full text
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