Abstract
| Original language | English |
|---|---|
| Journal | British Journal of Nutrition |
| Volume | 122 |
| Issue number | 2 |
| Pages (from-to) | 206-219 |
| ISSN | 0007-1145 |
| DOIs | |
| Publication status | Published - 2019 |
Keywords
- cost
- optimal trade-off curve
- personal food preference
- personalized intake recommendations
- quadratic programming
Cite this
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Optimizing healthy and safe fish intake recommendations: a trade-off between personal preference and cost. / Persson, Maria; Fagt, Sisse; Nauta, Maarten J.
In: British Journal of Nutrition, Vol. 122, No. 2, 2019, p. 206-219.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Optimizing healthy and safe fish intake recommendations: a trade-off between personal preference and cost
AU - Persson, Maria
AU - Fagt, Sisse
AU - Nauta, Maarten J
PY - 2019
Y1 - 2019
N2 - Individuals may perceive personalized dietary advice as more relevant and motivational than national guidelines. Personal preference and food cost are factors that can affect consumer decisions. The objective of this study was to present a method for modelling and analysing the trade-off between deviation from preference and food cost for optimized personalized dietary recommendations. Quadratic programming was applied to minimize deviation from fish preference and cost simultaneously with different weights on the cost for 3,016 Danish adults (whose dietary intake and body weight were recorded in a national dietary survey). Model constraints included recommendations for eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and vitamin D and tolerable levels for methyl mercury, dioxins, and polychlorinated biphenyls (dl-PCBs). When only minimizing deviation from preference, 50% of the study population should be recommended to increase fish intake, 48% should be suggested to maintain current consumption, and 2%, should be suggested to decrease fish consumption. When only minimizing cost, the vast majority (99%) should be recommended to only consume herring, which is the least-expensive fish species. By minimizing deviation from preference and cost simultaneously with different weights on the cost, personalized optimal trade-off curves between deviation from fish intake preference and fish cost could be generated for each individual in our study population, except for 22 individuals (0.7%) whose contaminant background exposure was too high. In the future, the method of this paper could be applied in the personal communication of healthy and safe food recommendations that fit the preferences of individual consumers.
AB - Individuals may perceive personalized dietary advice as more relevant and motivational than national guidelines. Personal preference and food cost are factors that can affect consumer decisions. The objective of this study was to present a method for modelling and analysing the trade-off between deviation from preference and food cost for optimized personalized dietary recommendations. Quadratic programming was applied to minimize deviation from fish preference and cost simultaneously with different weights on the cost for 3,016 Danish adults (whose dietary intake and body weight were recorded in a national dietary survey). Model constraints included recommendations for eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and vitamin D and tolerable levels for methyl mercury, dioxins, and polychlorinated biphenyls (dl-PCBs). When only minimizing deviation from preference, 50% of the study population should be recommended to increase fish intake, 48% should be suggested to maintain current consumption, and 2%, should be suggested to decrease fish consumption. When only minimizing cost, the vast majority (99%) should be recommended to only consume herring, which is the least-expensive fish species. By minimizing deviation from preference and cost simultaneously with different weights on the cost, personalized optimal trade-off curves between deviation from fish intake preference and fish cost could be generated for each individual in our study population, except for 22 individuals (0.7%) whose contaminant background exposure was too high. In the future, the method of this paper could be applied in the personal communication of healthy and safe food recommendations that fit the preferences of individual consumers.
KW - cost
KW - optimal trade-off curve
KW - personal food preference
KW - personalized intake recommendations
KW - quadratic programming
U2 - 10.1017/S0007114519000989
DO - 10.1017/S0007114519000989
M3 - Journal article
C2 - 31190646
VL - 122
SP - 206
EP - 219
JO - British Journal of Nutrition
JF - British Journal of Nutrition
SN - 0007-1145
IS - 2
ER -