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Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)

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 Optim...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771144/
https://www.ncbi.nlm.nih.gov/pubmed/24038252
http://dx.doi.org/10.3945/an.113.004259
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author 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
author_facet 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
author_sort Webb, Densie
collection PubMed
description 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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spelling pubmed-37711442014-09-01 Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2) 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 Adv Nutr ASN 2013 Annual Meeting Symposium Summaries 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. American Society for Nutrition 2013-09-05 /pmc/articles/PMC3771144/ /pubmed/24038252 http://dx.doi.org/10.3945/an.113.004259 Text en © 2013 American Society for Nutrition 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.
spellingShingle ASN 2013 Annual Meeting Symposium Summaries
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
Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title_full Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title_fullStr Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title_full_unstemmed Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title_short Strategies to Optimize the Impact of Nutritional Surveys and Epidemiological Studies(1)(2)
title_sort strategies to optimize the impact of nutritional surveys and epidemiological studies(1)(2)
topic ASN 2013 Annual Meeting Symposium Summaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771144/
https://www.ncbi.nlm.nih.gov/pubmed/24038252
http://dx.doi.org/10.3945/an.113.004259
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