Document Detail


Modeling expert opinions on food healthfulness: a nutrition metric.
MedLine Citation:
PMID:  19465193     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Research during the last several decades indicates the failure of existing nutritional labels to substantially improve the healthfulness of consumers' food/beverage choices. The present study aims to fill this void by developing a nutrition metric that is more comprehensible to the average shopper. The healthfulness ratings of 205 sample foods/beverages by leading nutrition experts formed the basis for a linear regression that places weights on 12 nutritional components (ie, total fat, saturated fat, cholesterol, sodium, total carbohydrate, dietary fiber, sugars, protein, vitamin A, vitamin C, calcium, and iron) to predict the average healthfulness rating that experts would give to any food/beverage. Major benefits of the model include its basis in expert judgment, its straightforward application, the flexibility of transforming its output ratings to any linear scale, and its ease of interpretation. This metric serves the purpose of distilling expert knowledge into a form usable by consumers so that they are empowered to make more healthful decisions.
Authors:
Jolie M Martin; John Beshears; Katherine L Milkman; Max H Bazerman; Lisa A Sutherland
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of the American Dietetic Association     Volume:  109     ISSN:  1878-3570     ISO Abbreviation:  J Am Diet Assoc     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-05-25     Completed Date:  2009-06-09     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503061     Medline TA:  J Am Diet Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1088-91     Citation Subset:  AIM; IM    
Affiliation:
Harvard Law School Program on Negotiation, Harvard University, 408 Dunster Mail Center, Cambridge, MA 02138, USA. joliemm@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Expert Testimony*
Food / standards*
Humans
Least-Squares Analysis
Linear Models
Models, Biological*
Nutritional Sciences*
Nutritive Value*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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