Strategies to optimize the impact of nutritional surveys and epidemiological studies

Densie Webb; Margaret M. Leahy; John A. Milner; David B. Allison; Kevin W. Dodd; P. Courtney Gaine; Robert A.J. Matthews; Barbara O. Schneeman; Katherine L. Tucker; S. Stanley Young

doi:10.3945/an.113.004259

Strategies to optimize the impact of nutritional surveys and epidemiological studies

Densie Webb^*, Margaret M. Leahy, John A. Milner, David B. Allison, Kevin W. Dodd, P. Courtney Gaine, Robert A.J. Matthews, Barbara O. Schneeman, Katherine L. Tucker, S. Stanley Young

^*Corresponding author for this work

Computer Science Research Group

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	545-547
Number of pages	3
Journal	Advances in Nutrition
Volume	4
Issue number	5
DOIs	https://doi.org/10.3945/an.113.004259
Publication status	Published - Sept 2013
Event	77th ASN scientific sessions and annual meeting at Experimental Biology 2013 - Boston, MA, United States Duration: 20 Apr 2013 → 24 Apr 2013

Bibliographical note

This is a free access article, distributed under terms (http://www.nutrition.org/publications/guidelines-and-policies/license/) 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.

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10.3945/an.113.004259

Strategies to optimize the impact of nutritional
This is a free access article, distributed under terms (http://www.nutrition.org/publications/guidelines-and-policies/license/) that permit unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 562 KBLicence: CC BY 3.0

http://advances.nutrition.org/content/4/5/545

Cite this

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title = "Strategies to optimize the impact of nutritional surveys and epidemiological studies",

abstract = "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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Strategies to optimize the impact of nutritional surveys and epidemiological studies

Abstract

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