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The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire
BACKGROUND: There is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods. OBJECTIVE: The objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112366/ https://www.ncbi.nlm.nih.gov/pubmed/27806922 http://dx.doi.org/10.2196/resprot.5782 |
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author | Bejar, Luis Maria Sharp, Brett Northrop García-Perea, María Dolores |
author_facet | Bejar, Luis Maria Sharp, Brett Northrop García-Perea, María Dolores |
author_sort | Bejar, Luis Maria |
collection | PubMed |
description | BACKGROUND: There is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods. OBJECTIVE: The objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed to collect individual consumption data for a series of foods/drinks, and to compare this app with a previously validated paper food frequency questionnaire (FFQ). METHODS: University students >18 years of age recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a paper FFQ at the end of the study period. To evaluate the agreement between the categories of habitual consumption for each of the foods/drinks included in the study, cross-classification analysis and a weighted kappa statistic were used. RESULTS: A total of 119 participants completed the study (71% female, 85/119; 29% male, 34/119). Cross-classification analysis showed that 79.8% of the participants were correctly classified into the same category and just 1.1% were misclassified into opposite categories. The average weighted kappa statistic was good (κ=.64). CONCLUSIONS: The results indicate that e-EPIDEMIOLOGY generated ranks of dietary intakes that were highly comparable with the previously validated paper FFQ. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility. |
format | Online Article Text |
id | pubmed-5112366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-51123662016-11-23 The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire Bejar, Luis Maria Sharp, Brett Northrop García-Perea, María Dolores JMIR Res Protoc Original Paper BACKGROUND: There is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods. OBJECTIVE: The objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed to collect individual consumption data for a series of foods/drinks, and to compare this app with a previously validated paper food frequency questionnaire (FFQ). METHODS: University students >18 years of age recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a paper FFQ at the end of the study period. To evaluate the agreement between the categories of habitual consumption for each of the foods/drinks included in the study, cross-classification analysis and a weighted kappa statistic were used. RESULTS: A total of 119 participants completed the study (71% female, 85/119; 29% male, 34/119). Cross-classification analysis showed that 79.8% of the participants were correctly classified into the same category and just 1.1% were misclassified into opposite categories. The average weighted kappa statistic was good (κ=.64). CONCLUSIONS: The results indicate that e-EPIDEMIOLOGY generated ranks of dietary intakes that were highly comparable with the previously validated paper FFQ. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility. JMIR Publications 2016-11-02 /pmc/articles/PMC5112366/ /pubmed/27806922 http://dx.doi.org/10.2196/resprot.5782 Text en ©Luis Maria Bejar, Brett Northrop Sharp, María Dolores García-Perea. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.11.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Bejar, Luis Maria Sharp, Brett Northrop García-Perea, María Dolores The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title | The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title_full | The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title_fullStr | The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title_full_unstemmed | The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title_short | The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire |
title_sort | e-epidemiology mobile phone app for dietary intake assessment: comparison with a food frequency questionnaire |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112366/ https://www.ncbi.nlm.nih.gov/pubmed/27806922 http://dx.doi.org/10.2196/resprot.5782 |
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