The effects of nutrition labeling on consumer food choice: a psychological experiment and computational model.
about
Objective Understanding of Front-of-Package Nutrition Labels among Nutritionally At-Risk IndividualsReds are more important than greens: how UK supermarket shoppers use the different information on a traffic light nutrition label in a choice experiment.Beyond positivism: Understanding and addressing childhood obesity disparities through a Critical Theory perspectiveIn-store marketing of inexpensive foods with good nutritional quality in disadvantaged neighborhoods: increased awareness, understanding, and purchasingAre Food Labels Effective as a Means of Health Prevention?Agriculture, health, and wealth convergence: bridging traditional food systems and modern agribusiness solutions.The impact of interpretive and reductive front-of-pack labels on food choice and willingness to pay.Nutritional labelling for healthier food or non-alcoholic drink purchasing and consumption.Effects of nutrient profiling and price changes based on NuVal® scores on food purchasing in an online experimental supermarketObjective understanding of Nutri-Score Front-Of-Package nutrition label according to individual characteristics of subjects: Comparisons with other format labels
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P2860
The effects of nutrition labeling on consumer food choice: a psychological experiment and computational model.
description
2014 nî lūn-bûn
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2014年の論文
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2014年論文
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2014年論文
@zh-hant
2014年論文
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2014年論文
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2014年論文
@zh-tw
2014年论文
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2014年论文
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2014年论文
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name
The effects of nutrition label ...... iment and computational model.
@en
The effects of nutrition label ...... iment and computational model.
@nl
type
label
The effects of nutrition label ...... iment and computational model.
@en
The effects of nutrition label ...... iment and computational model.
@nl
prefLabel
The effects of nutrition label ...... iment and computational model.
@en
The effects of nutrition label ...... iment and computational model.
@nl
P2860
P356
P1476
The effects of nutrition label ...... iment and computational model.
@en
P2093
Peter Helfer
Thomas R Shultz
P2860
P304
P356
10.1111/NYAS.12461
P407
P577
2014-06-09T00:00:00Z