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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| Vydáno v: | Public health nutrition Ročník 21; číslo 8; s. 1538 - 1545 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Cambridge, UK
Cambridge University Press
01.06.2018
Cambridge University Press (CUP) |
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| ISSN: | 1368-9800, 1475-2727, 1475-2727 |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes.OBJECTIVETo 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 %.DESIGNLinear 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.SETTINGBrazil.Participants (men and women, n 25 324) aged 20 years or more from the first National Dietary Survey (NDS) 2008-2009.SUBJECTSParticipants (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).RESULTSFeasible 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.CONCLUSIONLinear 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. ObjectiveTo identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes.DesignLinear 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 [LESS-THAN OR EQUAL TO]20 %.SettingBrazil.SubjectsParticipants (men and women, n 25 324) aged 20 years or more from the first National Dietary Survey (NDS) 2008-2009.ResultsFeasible 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).ConclusionLinear 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. Objective: To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes. Design: 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 %. Setting: Brazil. Subjects: Participants (men and women, n 25 324) aged 20 years or more from the first National Dietary Survey (NDS) 2008-2009. Results: 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). Conclusion: 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. 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. |
| Author | Verly-Junior, Eliseu dos Santos, Quenia Sichieri, Rosely Darmon, Nicole Maillot, Matthieu |
| AuthorAffiliation | 3 Markets , Organizations , Institutions and Stakeholders Strategies , Institut National de la Recherche Agronomique (INRA) , Montpellier , France 1 Institute of Social Medicine , State University of Rio de Janeiro , Rio de Janeiro , RJ , Brazil 4 MS-Nutrition , Marseille , France 2 Food Design and Consumer Behaviour Section , Department of Food Science , University of Copenhagen , Rolighedsvej 26 , 1958 Frederiksberg C , Denmark |
| AuthorAffiliation_xml | – name: 2 Food Design and Consumer Behaviour Section , Department of Food Science , University of Copenhagen , Rolighedsvej 26 , 1958 Frederiksberg C , Denmark – name: 4 MS-Nutrition , Marseille , France – name: 3 Markets , Organizations , Institutions and Stakeholders Strategies , Institut National de la Recherche Agronomique (INRA) , Montpellier , France – name: 1 Institute of Social Medicine , State University of Rio de Janeiro , Rio de Janeiro , RJ , Brazil |
| Author_xml | – sequence: 1 givenname: Quenia surname: dos Santos fullname: dos Santos, Quenia email: quenia1104@gmail.com organization: Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil – sequence: 2 givenname: Rosely surname: Sichieri fullname: Sichieri, Rosely organization: Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil – sequence: 3 givenname: Nicole surname: Darmon fullname: Darmon, Nicole organization: Markets, Organizations, Institutions and Stakeholders Strategies, Institut National de la Recherche Agronomique (INRA), Montpellier, France – sequence: 4 givenname: Matthieu surname: Maillot fullname: Maillot, Matthieu organization: MS-Nutrition, Marseille, France – sequence: 5 givenname: Eliseu surname: Verly-Junior fullname: Verly-Junior, Eliseu organization: Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29345608$$D View this record in MEDLINE/PubMed https://hal.inrae.fr/hal-02629076$$DView record in HAL |
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| CitedBy_id | crossref_primary_10_1186_s12937_019_0466_y crossref_primary_10_1155_2023_1271115 crossref_primary_10_1590_1413_81232021262_01012019 crossref_primary_10_1080_09637486_2021_2017408 |
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| Keywords | Linear programming Nutrients Food selection Diet modelling Diet optimization diet optimization linear programming food selection diet modelling nutrients |
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| Snippet | To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes.
Linear programming was used to... ObjectiveTo identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes.DesignLinear programming... To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes.OBJECTIVETo identify optimal food... To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes. Linear programming was used to... Objective: To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes. Design: Linear... |
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| SubjectTerms | 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 |
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| Title | Food choices to meet nutrient recommendations for the adult Brazilian population based on the linear programming approach |
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