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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Nutrition
2013
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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. |
format | Online Article Text |
id | pubmed-3771144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | American Society for Nutrition |
record_format | MEDLINE/PubMed |
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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