Literature DB >> 21052527

Assessment of dietary intake: NuGO symposium report.

Linda Penn, Heiner Boeing, Carol J Boushey, Lars Ove Dragsted, Jim Kaput, Augustin Scalbert, Ailsa A Welch, John C Mathers.   

Abstract

Advances in genomics science and associated bioinformatics and technology mean that excellent tools are available for characterising human genotypes. At the same time, approaches for characterising individual phenotypes are developing rapidly. In contrast, there has been much less investment in novel methodology for measuring dietary exposures so that there is now a significant gap in the toolkit for those investigating how diet interacts with genotype to determine phenotype. This symposium reviewed the strengths and limitations of current tools used in assessment of dietary intake and the potential to improve these tools through, for example, the use of statistical techniques that combine information from different sources (such as modelling and calibration methods) to ameliorate measurement error and to provide validity checks. Speakers examined the use of approaches based on technologies such as mobile 'phones, digital cameras and Web-based systems which offer the potential for more acceptable (for study participants) and less laborious (for researchers and participants) routes to more robust data collection. In addition, the application of omics, especially metabolomics, tools to biofluids to identify new biomarkers of intake offers great potential to provide objective measures of food consumption with the advantage that data may be collected in forms that can be integrated readily with other high throughput (nutrigenomic) technologies.

Entities:  

Keywords:  Assessment; Dietary intake; Exposure; Nutrigenomics; Phenotype

Year:  2010        PMID: 21052527      PMCID: PMC2935535          DOI: 10.1007/s12263-010-0175-9

Source DB:  PubMed          Journal:  Genes Nutr        ISSN: 1555-8932            Impact factor:   5.523


  16 in total

Review 1.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording.

Authors:  G R Goldberg; A E Black; S A Jebb; T J Cole; P R Murgatroyd; W A Coward; A M Prentice
Journal:  Eur J Clin Nutr       Date:  1991-12       Impact factor: 4.016

Review 2.  Session 2: Personalised nutrition. Epigenomics: a basis for understanding individual differences?

Authors:  John C Mathers
Journal:  Proc Nutr Soc       Date:  2008-11       Impact factor: 6.297

3.  Polyphenol levels in human urine after intake of six different polyphenol-rich beverages.

Authors:  Hideyuki Ito; Marie-Paule Gonthier; Claudine Manach; Christine Morand; Louise Mennen; Christian Rémésy; Augustin Scalbert
Journal:  Br J Nutr       Date:  2005-10       Impact factor: 3.718

4.  A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study.

Authors:  Arthur Schatzkin; Victor Kipnis; Raymond J Carroll; Douglas Midthune; Amy F Subar; Sheila Bingham; Dale A Schoeller; Richard P Troiano; Laurence S Freedman
Journal:  Int J Epidemiol       Date:  2003-12       Impact factor: 7.196

5.  The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.

Authors:  Alanna J Moshfegh; Donna G Rhodes; David J Baer; Theophile Murayi; John C Clemens; William V Rumpler; David R Paul; Rhonda S Sebastian; Kevin J Kuczynski; Linda A Ingwersen; Robert C Staples; Linda E Cleveland
Journal:  Am J Clin Nutr       Date:  2008-08       Impact factor: 7.045

6.  Comparison of plasma biomarkers with dietary assessment methods for fruit and vegetable intake.

Authors:  J Pollard; C P Wild; K L M White; D C Greenwood; J E Cade; S F L Kirk
Journal:  Eur J Clin Nutr       Date:  2003-08       Impact factor: 4.016

Review 7.  Fatty acid composition of adipose tissue and blood in humans and its use as a biomarker of dietary intake.

Authors:  Leanne Hodson; C Murray Skeaff; Barbara A Fielding
Journal:  Prog Lipid Res       Date:  2008-04-04       Impact factor: 16.195

8.  The application of a handheld personal digital assistant with camera and mobile phone card (Wellnavi) to the general population in a dietary survey.

Authors:  Shigeshi Kikunaga; Tomoe Tin; Genji Ishibashi; Da-Hong Wang; Shohei Kira
Journal:  J Nutr Sci Vitaminol (Tokyo)       Date:  2007-04       Impact factor: 2.000

9.  Use of technology in children's dietary assessment.

Authors:  C J Boushey; D A Kerr; J Wright; K D Lutes; D S Ebert; E J Delp
Journal:  Eur J Clin Nutr       Date:  2009-02       Impact factor: 4.016

10.  Workshop 1: Use of technology in dietary assessment.

Authors:  J Winter; C J Boushey
Journal:  Eur J Clin Nutr       Date:  2009-02       Impact factor: 4.016

View more
  20 in total

1.  Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine.

Authors:  Lone G Rasmussen; Hanne Winning; Francesco Savorani; Christian Ritz; Søren B Engelsen; Arne Astrup; Thomas M Larsen; Lars O Dragsted
Journal:  Genes Nutr       Date:  2011-10-09       Impact factor: 5.523

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

Authors:  Phyllis J Stumbo; Rick Weiss; John W Newman; Jean A Pennington; Katherine L Tucker; Paddy L Wiesenfeld; Anne-Kathrin Illner; David M Klurfeld; Jim Kaput
Journal:  J Nutr       Date:  2010-10-27       Impact factor: 4.798

3.  Comparison of two dietary assessment methods by food consumption: results of the German National Nutrition Survey II.

Authors:  Marianne Eisinger-Watzl; Andrea Straßburg; Josa Ramünke; Carolin Krems; Thorsten Heuer; Ingrid Hoffmann
Journal:  Eur J Nutr       Date:  2014-05-15       Impact factor: 5.614

4.  Energy underreporting in African-American girls: a longitudinal analysis.

Authors:  Marion E Hare; Deborah Sherrill-Mittleman; Robert C Klesges; Jennifer Q Lanctot; Lisa M Klesges
Journal:  Child Obes       Date:  2012-12       Impact factor: 2.992

5.  Food environments of young people: linking individual behaviour to environmental context.

Authors:  Rachel L Tyrrell; Fiona Greenhalgh; Susan Hodgson; Wendy J Wills; John C Mathers; Ashley J Adamson; Amelia A Lake
Journal:  J Public Health (Oxf)       Date:  2017-03-01       Impact factor: 2.341

6.  Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples.

Authors:  Gaëlle Favé; Manfred Beckmann; Amanda J Lloyd; Shaobo Zhou; Graham Harold; Wanchang Lin; Kathleen Tailliart; Long Xie; John Draper; John C Mathers
Journal:  Metabolomics       Date:  2011-02-23       Impact factor: 4.290

7.  A grand challenge for nutrigenomics.

Authors:  Steven H Zeisel
Journal:  Front Genet       Date:  2010-12-13       Impact factor: 4.599

8.  Dietary Patterns and Socioeconomic Status in the Very Old: The Newcastle 85+ Study.

Authors:  Antoneta Granic; Karen Davies; Ashley Adamson; Thomas Kirkwood; Tom R Hill; Mario Siervo; John C Mathers; Carol Jagger
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

Review 9.  Metabolomics in the identification of biomarkers of dietary intake.

Authors:  Aoife O'Gorman; Helena Gibbons; Lorraine Brennan
Journal:  Comput Struct Biotechnol J       Date:  2013-02-07       Impact factor: 7.271

Review 10.  Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology.

Authors:  Farit M Afendi; Naoaki Ono; Yukiko Nakamura; Kensuke Nakamura; Latifah K Darusman; Nelson Kibinge; Aki Hirai Morita; Ken Tanaka; Hisayuki Horai; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Comput Struct Biotechnol J       Date:  2013-03-23       Impact factor: 7.271

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.