Strategies to optimize the impact of nutritional surveys and epidemiological studies


The development of nutrition and health guidelines and policies requires reliable scientific information. Unfortunately, theoretical considerations and empirical evidence indicate that a large percentage of science-based claims rely on studies that fail to replicate. The session "Strategies to Optimize the Impact of Nutrition Surveys and Epidemiological Studies" focused on the elements of design, interpretation, and communication of nutritional surveys and epidemiological studies to enhance and encourage the production of reliable, objective evidence for use in developing dietary guidance for the public. The speakers called for more transparency of research, raw data, consistent data-staging techniques, and improved data analysis. New approaches to collecting data are urgently needed to increase the credibility and utility of findings from nutrition epidemiological studies. Such studies are critical for furthering our knowledge and understanding of the effects of diet on health.

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Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
Additional Information: This is a free access article, distributed under terms ( that permit unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is a summary of the symposium “Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies” held April 20, 2013 at the ASN Scientific Sessions and Annual Meeting at Experimental Biology 2013 in Boston, MA. The symposium was sponsored by the American Society for Nutrition and the North American Branch of the International Life Sciences Institute’s Committee on Carbohydrates.
Uncontrolled Keywords: Food Science,Medicine (miscellaneous),Nutrition and Dietetics,Medicine(all)
Publication ISSN: 2156-5376
Full Text Link: http://advances ... content/4/5/545
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2013-09
Authors: Webb, Densie
Leahy, Margaret M.
Milner, John A.
Allison, David B.
Dodd, Kevin W.
Gaine, P. Courtney
Matthews, Robert A.J.
Schneeman, Barbara O.
Tucker, Katherine L.
Young, S. Stanley



Version: Published Version

License: Creative Commons Attribution

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