Abstract
A mathematical optimization model was developed, using quadratic programming. Individual recommended fish intakes were identified, meeting recommendations on fatty acids and vitamin D, without violating tolerable intake levels on methyl mercury and dioxins. Individual intakes for eight fish species were proposed for 3016 Danes, whose intakes were known from a Dietary survey. For women, the average change in fish intake was + 14.2 g of lean fish and + 62.6 g of fatty fish per week and for men the respective numbers were + 12.2 and + 55.1.
This study shows how mathematical optimization models can be used to advise individual consumers on the optimization of their diet, based on their current intake. The model can be modified to address other foods, food component and contaminants and the method can also address sustainability (e.g. by using constraints on greenhouse gas emission) or costs.
| Original language | English |
|---|---|
| Publication date | 2017 |
| Number of pages | 1 |
| Publication status | Published - 2017 |
| Event | GoFood conference 2017 - Lund, Sweden Duration: 31 May 2017 → 2 Jun 2017 |
Conference
| Conference | GoFood conference 2017 |
|---|---|
| Country | Sweden |
| City | Lund |
| Period | 31/05/2017 → 02/06/2017 |
Cite this
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Optimization of individual fish intake in Denmark. / Persson, Inez Maria; Fagt, Sisse; Poulsen, Morten; Vieux, Florent; Nauta, Maarten.
2017. Abstract from GoFood conference 2017, Lund, Sweden.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
TY - ABST
T1 - Optimization of individual fish intake in Denmark
AU - Persson, Inez Maria
AU - Fagt, Sisse
AU - Poulsen, Morten
AU - Vieux, Florent
AU - Nauta, Maarten
PY - 2017
Y1 - 2017
N2 - Only 15% of the Danes meet the fish intakes recommended by the official Danish dietary guidelines. This study therefore proposes a method to find fish intakes that fulfill several dietary criteria, while simultaneously deviating as little as possible from the current intakes. For an individual consumer this is more realistic and achievable than a general recommendation.A mathematical optimization model was developed, using quadratic programming. Individual recommended fish intakes were identified, meeting recommendations on fatty acids and vitamin D, without violating tolerable intake levels on methyl mercury and dioxins. Individual intakes for eight fish species were proposed for 3016 Danes, whose intakes were known from a Dietary survey. For women, the average change in fish intake was + 14.2 g of lean fish and + 62.6 g of fatty fish per week and for men the respective numbers were + 12.2 and + 55.1. This study shows how mathematical optimization models can be used to advise individual consumers on the optimization of their diet, based on their current intake. The model can be modified to address other foods, food component and contaminants and the method can also address sustainability (e.g. by using constraints on greenhouse gas emission) or costs.
AB - Only 15% of the Danes meet the fish intakes recommended by the official Danish dietary guidelines. This study therefore proposes a method to find fish intakes that fulfill several dietary criteria, while simultaneously deviating as little as possible from the current intakes. For an individual consumer this is more realistic and achievable than a general recommendation.A mathematical optimization model was developed, using quadratic programming. Individual recommended fish intakes were identified, meeting recommendations on fatty acids and vitamin D, without violating tolerable intake levels on methyl mercury and dioxins. Individual intakes for eight fish species were proposed for 3016 Danes, whose intakes were known from a Dietary survey. For women, the average change in fish intake was + 14.2 g of lean fish and + 62.6 g of fatty fish per week and for men the respective numbers were + 12.2 and + 55.1. This study shows how mathematical optimization models can be used to advise individual consumers on the optimization of their diet, based on their current intake. The model can be modified to address other foods, food component and contaminants and the method can also address sustainability (e.g. by using constraints on greenhouse gas emission) or costs.
M3 - Conference abstract for conference
ER -