Literature DB >> 24398637

Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.

J Freese1, S Feller2, U Harttig2, C Kleiser3, J Linseisen3, B Fischer4, M F Leitzmann4, J Six-Merker5, K B Michels6, K Nimptsch7, A Steinbrecher7, T Pischon7, T Heuer8, I Hoffmann8, G Jacobs9, H Boeing2, U Nöthlings1.   

Abstract

BACKGROUND/
OBJECTIVES: The validity of dietary assessment in large-scale cohort studies has been questioned. Combining data sources for the estimation of usual intake in a blended approach may enhance the validity of dietary measurement. Our objective was to develop a web-based 24-h food list for Germany to identify foods consumed during the previous 24 h and to evaluate the performance of the new questionnaire in a feasibility study. SUBJECTS/
METHODS: Available data from the German National Nutrition Survey II were used to develop a finite list of food items. A total of 508 individuals were invited to fill in the 24-h food list via the Internet up to three times during a 3-6-month time period. In addition, participants were asked to evaluate the questionnaire using a brief online evaluation form.
RESULTS: In total, 246 food items were identified for the 24-h food list, reflecting >75% variation in intake of 27 nutrients and four major food groups. Among the individuals invited, 64% participated in the feasibility study. Of these, 100%, 85% and 68% of participants completed the 24-h food list one, two or three times, respectively. The average time needed to complete the questionnaire was 9 min, and its acceptability by participants was rated as high.
CONCLUSIONS: The 24-h food list represents a promising new dietary assessment tool that can be used as part of a blended approach combining multiple data sources for valid estimation of usual dietary intake in large-scale cohort studies.

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Year:  2014        PMID: 24398637     DOI: 10.1038/ejcn.2013.274

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  29 in total

1.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

2.  Not the time to abandon the food frequency questionnaire: counterpoint.

Authors:  Alan R Kristal; John D Potter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-10-04       Impact factor: 4.254

3.  The European Food Consumption Validation Project: conclusions and recommendations.

Authors:  E J de Boer; N Slimani; P van 't Veer; H Boeing; M Feinberg; C Leclercq; E Trolle; P Amiano; L F Andersen; H Freisling; A Geelen; U Harttig; I Huybrechts; A Kaic-Rak; L Lafay; I T Lillegaard; J Ruprich; J H de Vries; M C Ocké
Journal:  Eur J Clin Nutr       Date:  2011-07       Impact factor: 4.016

4.  Max_r: an optimal method for the selection of subsets of foods for the measurement of specific nutrient exposures.

Authors:  D G Thomas; S D Mark
Journal:  Comput Methods Programs Biomed       Date:  1997-11       Impact factor: 5.428

5.  The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

Authors:  Amy F Subar; Sharon I Kirkpatrick; Beth Mittl; Thea Palmer Zimmerman; Frances E Thompson; Christopher Bingley; Gordon Willis; Noemi G Islam; Tom Baranowski; Suzanne McNutt; Nancy Potischman
Journal:  J Acad Nutr Diet       Date:  2012-06-15       Impact factor: 4.910

6.  An Overview of The Technology Assisted Dietary Assessment Project at Purdue University.

Authors:  Nitin Khanna; Carol J Boushey; Deborah Kerr; Martin Okos; David S Ebert; Edward J Delp
Journal:  ISM       Date:  2010

7.  Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: the energetics study.

Authors:  Lenore Arab; Kate Wesseling-Perry; Patricia Jardack; Judith Henry; Ashley Winter
Journal:  J Am Diet Assoc       Date:  2010-06

8.  Reproducibility and validity of a semiquantitative food frequency questionnaire.

Authors:  W C Willett; L Sampson; M J Stampfer; B Rosner; C Bain; J Witschi; C H Hennekens; F E Speizer
Journal:  Am J Epidemiol       Date:  1985-07       Impact factor: 4.897

Review 9.  Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation).

Authors:  Arthur Schatzkin; Amy F Subar; Steven Moore; Yikyung Park; Nancy Potischman; Frances E Thompson; Michael Leitzmann; Albert Hollenbeck; Kerry Grace Morrissey; Victor Kipnis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

10.  Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes.

Authors:  Victor Kipnis; Douglas Midthune; Dennis W Buckman; Kevin W Dodd; Patricia M Guenther; Susan M Krebs-Smith; Amy F Subar; Janet A Tooze; Raymond J Carroll; Laurence S Freedman
Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

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  13 in total

1.  The Development, Validation, and User Evaluation of Foodbook24: A Web-Based Dietary Assessment Tool Developed for the Irish Adult Population.

Authors:  Claire M Timon; Richard J Blain; Breige McNulty; Laura Kehoe; Katie Evans; Janette Walton; Albert Flynn; Eileen R Gibney
Journal:  J Med Internet Res       Date:  2017-05-11       Impact factor: 5.428

2.  Modifying effect of metabotype on diet-diabetes associations.

Authors:  Anna Riedl; Nina Wawro; Christian Gieger; Christa Meisinger; Annette Peters; Wolfgang Rathmann; Wolfgang Koenig; Konstantin Strauch; Anne S Quante; Barbara Thorand; Cornelia Huth; Hannelore Daniel; Hans Hauner; Jakob Linseisen
Journal:  Eur J Nutr       Date:  2019-05-14       Impact factor: 5.614

Review 3.  Association between dietary patterns and prediabetes, undetected diabetes or clinically diagnosed diabetes: results from the KORA FF4 study.

Authors:  Giulia Pestoni; Anna Riedl; Taylor A Breuninger; Nina Wawro; Jean-Philippe Krieger; Christa Meisinger; Wolfgang Rathmann; Barbara Thorand; Carla Harris; Annette Peters; Sabine Rohrmann; Jakob Linseisen
Journal:  Eur J Nutr       Date:  2020-10-30       Impact factor: 5.614

4.  IMPACT OF DEFICIENT NUTRITION IN BONE MASS AFTER BARIATRIC SURGERY.

Authors:  Tatiana Munhoz da Rocha Lemos Costa; Mariana Paganoto; Rosana Bento Radominski; Victoria Zeghbi Cochenski Borba
Journal:  Arq Bras Cir Dig       Date:  2016-03

5.  Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list.

Authors:  Johanna Freese; Mihaela Pricop-Jeckstadt; Thorsten Heuer; Matthias Clemens; Heiner Boeing; Sven Knüppel; Ute Nöthlings
Journal:  J Nutr Sci       Date:  2016-08-15

6.  Development and evaluation of a concise food list for use in a web-based 24-h dietary recall tool.

Authors:  Katie Evans; Áine Hennessy; Janette Walton; Claire Timon; Eileen Gibney; Albert Flynn
Journal:  J Nutr Sci       Date:  2017-08-29

7.  The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice.

Authors:  Lukas Schwingshackl; Ulrike Ruzanska; Verena Anton; Raphael Wallroth; Kathrin Ohla; Sven Knüppel; Matthias B Schulze; Tobias Pischon; Johannes Deutschbein; Liane Schenk; Petra Warschburger; Ulrich Harttig; Heiner Boeing; Manuela M Bergmann
Journal:  BMC Public Health       Date:  2018-08-03       Impact factor: 3.295

8.  A Phenotyping Platform to Characterize Healthy Individuals Across Four Stages of Life - The Enable Study.

Authors:  Beate Brandl; Thomas Skurk; Rachel Rennekamp; Anne Hannink; Eva Kiesswetter; Jessica Freiherr; Susanne Ihsen; Jutta Roosen; Martin Klingenspor; Dirk Haller; Dietmar Krautwurst; Thomas Hofmann; Jakob Linseisen; Dorothee Volkert; Hans Hauner
Journal:  Front Nutr       Date:  2020-10-28

9.  Prediction of type 2 diabetes mellitus based on nutrition data.

Authors:  Andreas Katsimpris; Aboulmaouahib Brahim; Wolfgang Rathmann; Anette Peters; Konstantin Strauch; Antònia Flaquer
Journal:  J Nutr Sci       Date:  2021-06-21

10.  Long-term effects of a food pattern on cardiovascular risk factors and age-related changes of muscular and cognitive function.

Authors:  Charlotte Wernicke; Konstantina Apostolopoulou; Silke Hornemann; Andriana Efthymiou; Jürgen Machann; Sein Schmidt; Uwe Primessnig; Manuela M Bergmann; Tilman Grune; Christiana Gerbracht; Katharina Herber; Anne Pohrt; Andreas F H Pfeiffer; Joachim Spranger; Knut Mai
Journal:  Medicine (Baltimore)       Date:  2020-09-25       Impact factor: 1.817

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