Modeling Expert Opinions on Food Healthiness: A Nutrition Metric
AbstractBackground Research over the last several decades indicates the failure of existing nutritional labels to substantially improve the healthiness of consumers' food and beverage choices. The difficulty for policy-makers is to encapsulate a wide body of scientific knowledge in a labeling scheme that is comprehensible to the average shopper. Here, we describe our method of developing a nutrition metric to fill this void. Methods We asked leading nutrition experts to rate the healthiness of 205 sample foods and beverages, and after verifying the similarity of their responses, we generated a model that calculates the expected average healthiness rating that experts would give to any other product based on its nutrient content. Results The form of the model is a linear regression that places weights on 12 nutritional components (total fat, saturated fat, cholesterol, sodium, total carbohydrate, dietary fiber, sugars, protein, vitamin A, vitamin C, calcium, and iron) to predict the average healthiness rating that experts would give to any food or beverage. We provide sample predictions for other items in our database. Conclusions 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 healthier decisions.
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Bibliographic InfoPaper provided by Harvard Business School in its series Harvard Business School Working Papers with number 08-082.
Length: 28 pages
Date of creation: Mar 2008
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-AGR-2008-03-08 (Agricultural Economics)
- NEP-ALL-2008-03-08 (All new papers)
- NEP-HEA-2008-03-08 (Health Economics)
- NEP-KNM-2008-03-08 (Knowledge Management & Knowledge Economy)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Moorman, Christine, 1990. " The Effects of Stimulus and Consumer Characteristics on the Utilization of Nutrition Information," Journal of Consumer Research, University of Chicago Press, University of Chicago Press, vol. 17(3), pages 362-74, December.
- Russo, J Edward, et al, 1986. " Nutrition Information in the Supermarket," Journal of Consumer Research, University of Chicago Press, University of Chicago Press, vol. 13(1), pages 48-70, June.
- Katherine Milkman & Todd Rogers & Max Bazerman, 2010. "I’ll have the ice cream soon and the vegetables later: A study of online grocery purchases and order lead time," Marketing Letters, Springer, Springer, vol. 21(1), pages 17-35, March.
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