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Literature DB >> 19337578

Considerations for selecting a dietary assessment system.

Abstract

The software available with some food composition databases allows for the dietary assessment of individuals and groups and may provide graphic comparisons of nutrient intakes to dietary standards. Four factors to consider when choosing a computerized dietary assessment system are availability of desired database features, efficiency of the search engine in finding foods in the database, educational value of the output, and cost of purchasing and updating the software. Printed output should clearly characterize dietary adequacy with graphs or simple tables. Dietary assessment data used for research must also be available in electronic spreadsheet format for statistical analysis. Peer-reviewed papers in journals that provide overviews of the features of various computerized dietary assessment software are helpful for informing the selection process.

Year: 2008 PMID： 19337578 PMCID： PMC2662624 DOI： 10.1016/j.jfca.2007.07.011

Source DB: PubMed Journal: J Food Compost Anal ISSN： 0889-1575 Impact factor: 4.556

8 in total

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8 in total

9 in total

1. Mothers' DASH diet adherence and food purchases after week-long episodic future thinking intervention.

Authors: Kelseanna Hollis-Hansen; Jennifer Seidman; Sara O'Donnell; Leonard H Epstein
Journal: Appetite Date: 2020-06-06 Impact factor: 3.868

2. Evaluation of the Food and Nutrient Database for Dietary Studies for use with a mobile telephone food record.

Authors: Bethany L Six; Tusarebecca E Schap; Deborah A Kerr; Carol J Boushey
Journal: J Food Compost Anal Date: 2011-12-01 Impact factor: 4.556

3. Episodic future thinking and grocery shopping online.

Authors: Kelseanna Hollis-Hansen; Jennifer Seidman; Sara O'Donnell; Leonard H Epstein
Journal: Appetite Date: 2018-10-18 Impact factor: 3.868

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Authors: Selina A Smith; Joyce Q Sheats; Mary S Whitehead; Ernestine Delmoor; Thomas Britt; Cassandra L Harris; Janette Robinson-Flint; L Monique Porche-Smith; Kayellen Edmonds Umeakunne; Steven S Coughlin
Journal: Jacobs J Food Nutr Date: 2015-07-24

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Authors: Emily Fitt; Darren Cole; Nida Ziauddeen; David Pell; Elizabeth Stickley; Anna Harvey; Alison M Stephen
Journal: Public Health Nutr Date: 2014-03-27 Impact factor: 4.022

6. Low intakes of dietary fiber and magnesium are associated with insulin resistance and hyperandrogenism in polycystic ovary syndrome: A cohort study.

Authors: Dylan A Cutler; Sheila M Pride; Anthony P Cheung
Journal: Food Sci Nutr Date: 2019-02-27 Impact factor: 2.863

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Authors: Annabel K Clancy; Kaitlyn Woods; Anne McMahon; Yasmine Probst
Journal: PLoS One Date: 2015-11-10 Impact factor: 3.240

8. Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data.

Authors: Joseph Rigdon; Sanjay Basu
Journal: BMJ Open Date: 2019-11-28 Impact factor: 2.692

9. Effectiveness of a Per-Meal Protein Prescription and Nutrition Education with versus without Diet Coaching on Dietary Protein Intake and Muscle Health in Middle-Aged Women.

Authors: Kelley L Jackson; Sareen S Gropper; Dennis Hunt; Deborah D'Avolio; David Newman
Journal: Nutrients Date: 2022-01-16 Impact factor: 5.717

9 in total