Literature DB >> 20980656

Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

Phyllis J Stumbo1, Rick Weiss, John W Newman, Jean A Pennington, Katherine L Tucker, Paddy L Wiesenfeld, Anne-Kathrin Illner, David M Klurfeld, Jim Kaput.   

Abstract

Food intake, physical activity (PA), and genetic makeup each affect health and each factor influences the impact of the other 2 factors. Nutrigenomics describes interactions between genes and environment. Knowledge about the interplay between environment and genetics would be improved if experimental designs included measures of nutrient intake and PA. Lack of familiarity about how to analyze environmental variables and ease of access to tools and measurement instruments are 2 deterrents to these combined studies. This article describes the state of the art for measuring food intake and PA to encourage researchers to make their tools better known and more available to workers in other fields. Information presented was discussed during a workshop on this topic sponsored by the USDA, NIH, and FDA in the spring of 2009.

Mesh:

Year:  2010        PMID: 20980656      PMCID: PMC3139235          DOI: 10.3945/jn.110.128371

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  56 in total

Review 1.  Assessment of usual dietary intake in population studies of gene-diet interaction.

Authors:  Katherine L Tucker
Journal:  Nutr Metab Cardiovasc Dis       Date:  2006-10-13       Impact factor: 4.222

Review 2.  Metabolomics in the study of aging and caloric restriction.

Authors:  Bruce S Kristal; Yevgeniya I Shurubor; Rima Kaddurah-Daouk; Wayne R Matson
Journal:  Methods Mol Biol       Date:  2007

Review 3.  Heart rate variability in athletes.

Authors:  André E Aubert; Bert Seps; Frank Beckers
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

Review 4.  The role of heart rate variability in prognosis for different modes of death in chronic heart failure.

Authors:  Gavin Richard H Sandercock; David A Brodie
Journal:  Pacing Clin Electrophysiol       Date:  2006-08       Impact factor: 1.976

5.  Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles.

Authors:  D O Stram; J H Hankin; L R Wilkens; M C Pike; K R Monroe; S Park; B E Henderson; A M Nomura; M E Earle; F S Nagamine; L N Kolonel
Journal:  Am J Epidemiol       Date:  2000-02-15       Impact factor: 4.897

6.  Phenol-Explorer: an online comprehensive database on polyphenol contents in foods.

Authors:  V Neveu; J Perez-Jiménez; F Vos; V Crespy; L du Chaffaut; L Mennen; C Knox; R Eisner; J Cruz; D Wishart; A Scalbert
Journal:  Database (Oxford)       Date:  2010-01-08       Impact factor: 3.451

Review 7.  An overview of methodologies, proficiencies, and training resources for controlled feeding studies.

Authors:  Marlene M Most; Abby G Ershow; Beverly A Clevidence
Journal:  J Am Diet Assoc       Date:  2003-06

8.  Fitting portion sizes in a self-administered food frequency questionnaire.

Authors:  Ute Nöthlings; Kurt Hoffmann; Manuela M Bergmann; Heiner Boeing
Journal:  J Nutr       Date:  2007-12       Impact factor: 4.798

9.  Predictive metabolomics evaluation of nutrition-modulated metabolic stress responses in human blood serum during the early recovery phase of strenuous physical exercise.

Authors:  Elin Chorell; Thomas Moritz; Stefan Branth; Henrik Antti; Michael B Svensson
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

Review 10.  Effect of the dietary fat quality on insulin sensitivity.

Authors:  José E Galgani; Ricardo D Uauy; Carolina A Aguirre; Erik O Díaz
Journal:  Br J Nutr       Date:  2008-04-08       Impact factor: 3.718

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  8 in total

1.  The genomics of micronutrient requirements.

Authors:  Jacqueline Pontes Monteiro; Martin Kussmann; Jim Kaput
Journal:  Genes Nutr       Date:  2015-05-19       Impact factor: 5.523

Review 2.  Single-Subject Studies in Translational Nutrition Research.

Authors:  Nicholas J Schork; Laura H Goetz
Journal:  Annu Rev Nutr       Date:  2017-07-17       Impact factor: 11.848

Review 3.  Nutritional phenotype databases and integrated nutrition: from molecules to populations.

Authors:  Michael J Gibney; Breige A McNulty; Miriam F Ryan; Marianne C Walsh
Journal:  Adv Nutr       Date:  2014-05-14       Impact factor: 8.701

4.  Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities.

Authors:  Abby G Ershow; Charles M Peterson; William T Riley; Albert Skip Rizzo; Brian Wansink
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

5.  Consensus statement understanding health and malnutrition through a systems approach: the ENOUGH program for early life.

Authors:  Jim Kaput; Ben van Ommen; Bas Kremer; Corrado Priami; Jacqueline Pontes Monteiro; Melissa Morine; Fre Pepping; Zoey Diaz; Michael Fenech; Yiwu He; Ruud Albers; Christian A Drevon; Chris T Evelo; Robert E W Hancock; Carel Ijsselmuiden; L H Lumey; Anne-Marie Minihane; Michael Muller; Chiara Murgia; Marijana Radonjic; Bruno Sobral; Keith P West
Journal:  Genes Nutr       Date:  2013-12-22       Impact factor: 5.523

6.  Enabling nutrient security and sustainability through systems research.

Authors:  Jim Kaput; Martin Kussmann; Yery Mendoza; Ronit Le Coutre; Karen Cooper; Anne Roulin
Journal:  Genes Nutr       Date:  2015-04-16       Impact factor: 5.523

7.  Goals in Nutrition Science 2015-2020.

Authors:  David B Allison; Josep Bassaganya-Riera; Barbara Burlingame; Andrew W Brown; Johannes le Coutre; Suzanne L Dickson; Willem van Eden; Johan Garssen; Raquel Hontecillas; Chor San H Khoo; Dietrich Knorr; Martin Kussmann; Pierre J Magistretti; Tapan Mehta; Adrian Meule; Michael Rychlik; Claus Vögele
Journal:  Front Nutr       Date:  2015-09-08

Review 8.  Translational genomics.

Authors:  Martin Kussmann; Jim Kaput
Journal:  Appl Transl Genom       Date:  2014-05-10
  8 in total

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