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Novel Online or Mobile Methods to Assess Eating Patterns
PURPOSE OF REVIEW: Recent developments in technology-based dietary assessment allow real-time data collection of eating occasions, yet their application to assessing eating pattern constructs has not been evaluated. The purpose of this review was to examine existing electronic and mobile food diary...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585993/ https://www.ncbi.nlm.nih.gov/pubmed/28944099 http://dx.doi.org/10.1007/s13668-017-0211-0 |
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author | Pendergast, Felicity J. Leech, Rebecca M. McNaughton, Sarah A. |
author_facet | Pendergast, Felicity J. Leech, Rebecca M. McNaughton, Sarah A. |
author_sort | Pendergast, Felicity J. |
collection | PubMed |
description | PURPOSE OF REVIEW: Recent developments in technology-based dietary assessment allow real-time data collection of eating occasions, yet their application to assessing eating pattern constructs has not been evaluated. The purpose of this review was to examine existing electronic and mobile food diary methods in relation to their ability to assess eating patterns constructs (e.g. patterning, format and context of eating occasions). RECENT FINDINGS: A systematic search of electronic databases identified 18 dietary assessment methods. Multiple methods with diverse technological capabilities have been developed, yet few studies report on their ability to assess all eating pattern constructs, particularly eating occasion context. Validity of the methods to assess overall dietary intake was found to be similar to traditional dietary assessment methods. SUMMARY: A diverse range of methods are available for examining the patterning and format/content, but not context, of eating occasions. Further consideration of eating pattern constructs is required when developing dietary assessment methods. |
format | Online Article Text |
id | pubmed-5585993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-55859932017-09-22 Novel Online or Mobile Methods to Assess Eating Patterns Pendergast, Felicity J. Leech, Rebecca M. McNaughton, Sarah A. Curr Nutr Rep Cardiovascular Disease (JHY Wu, Section Editor) PURPOSE OF REVIEW: Recent developments in technology-based dietary assessment allow real-time data collection of eating occasions, yet their application to assessing eating pattern constructs has not been evaluated. The purpose of this review was to examine existing electronic and mobile food diary methods in relation to their ability to assess eating patterns constructs (e.g. patterning, format and context of eating occasions). RECENT FINDINGS: A systematic search of electronic databases identified 18 dietary assessment methods. Multiple methods with diverse technological capabilities have been developed, yet few studies report on their ability to assess all eating pattern constructs, particularly eating occasion context. Validity of the methods to assess overall dietary intake was found to be similar to traditional dietary assessment methods. SUMMARY: A diverse range of methods are available for examining the patterning and format/content, but not context, of eating occasions. Further consideration of eating pattern constructs is required when developing dietary assessment methods. Springer US 2017-07-11 2017 /pmc/articles/PMC5585993/ /pubmed/28944099 http://dx.doi.org/10.1007/s13668-017-0211-0 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Cardiovascular Disease (JHY Wu, Section Editor) Pendergast, Felicity J. Leech, Rebecca M. McNaughton, Sarah A. Novel Online or Mobile Methods to Assess Eating Patterns |
title | Novel Online or Mobile Methods to Assess Eating Patterns |
title_full | Novel Online or Mobile Methods to Assess Eating Patterns |
title_fullStr | Novel Online or Mobile Methods to Assess Eating Patterns |
title_full_unstemmed | Novel Online or Mobile Methods to Assess Eating Patterns |
title_short | Novel Online or Mobile Methods to Assess Eating Patterns |
title_sort | novel online or mobile methods to assess eating patterns |
topic | Cardiovascular Disease (JHY Wu, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585993/ https://www.ncbi.nlm.nih.gov/pubmed/28944099 http://dx.doi.org/10.1007/s13668-017-0211-0 |
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