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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Vydané v:Public health nutrition Ročník 21; číslo 8; s. 1538 - 1545
Hlavní autori: dos Santos, Quenia, Sichieri, Rosely, Darmon, Nicole, Maillot, Matthieu, Verly-Junior, Eliseu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.06.2018
Cambridge University Press (CUP)
Predmet:
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
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Shrnutí: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 nutritional goals that included reduction in the prevalence of inadequate nutrient intakes to ≤20 %. Brazil. Participants (men and women, n 25 324) aged 20 years or more from the first National Dietary Survey (NDS) 2008-2009. Feasible solution to the model was not found when all constraints were imposed; infeasible nutrients were Ca, vitamins D and E, Mg, Zn, fibre, linolenic acid, monounsaturated fat and Na. Feasible solution was obtained after relaxing the nutritional constraints for these limiting nutrients by including a deviation variable in the model. Estimated prevalence of nutrient inadequacy was reduced by 60-70 % for most nutrients, and mean saturated and trans-fat decreased in the optimized diet meeting the model constraints. Optimized diet was characterized by increases especially in fruits (+92 g), beans (+64 g), vegetables (+43 g), milk (+12 g), fish and seafood (+15 g) and whole cereals (+14 g), and reductions of sugar-sweetened beverages (-90 g), rice (-63 g), snacks (-14 g), red meat (-13 g) and processed meat (-9·7 g). Linear programming is a unique tool to identify which changes in the current diet can increase nutrient intake and place the population at lower risk of nutrient inadequacy. Reaching nutritional adequacy for all nutrients would require major dietary changes in the Brazilian diet.
Bibliografia:ObjectType-Article-1
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ISSN:1368-9800
1475-2727
1475-2727
DOI:10.1017/S1368980017003883