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Dietary Assessment by Pattern Recognition: a Comparative Analysis

BACKGROUND: Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide u...

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Autores principales: Bernstein, Adam M., Rhee, Lauren Q., Njike, Valentine Y., Katz, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550800/
https://www.ncbi.nlm.nih.gov/pubmed/37807976
http://dx.doi.org/10.1016/j.cdnut.2023.101999
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author Bernstein, Adam M.
Rhee, Lauren Q.
Njike, Valentine Y.
Katz, David L.
author_facet Bernstein, Adam M.
Rhee, Lauren Q.
Njike, Valentine Y.
Katz, David L.
author_sort Bernstein, Adam M.
collection PubMed
description BACKGROUND: Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide use. OBJECTIVE: This study aimed to assess 1) the validity of Diet ID in measuring diet quality, food group and nutrient intake against 2 traditional dietary assessment methods (i.e., food record [FR], food frequency questionnaire) and 2) the test reproducibility/reliability of Diet ID to obtain similar results with repeat assessments. METHODS: Using a participant-sourcing platform for online research, we recruited 90 participants, 58 of whom completed DQPN, a 3-d FR (via the Automated Self-Administered 24-hour Dietary Assessment Tool), and a food frequency questionnaire (FFQ, via the Dietary History Questionnaire III). We estimated mean nutrient and food group intake with all 3 instruments and generated Pearson correlations between them. RESULTS: Mean age (SD) of participants was 38 (11) y, and more than half were male (64%). The strongest correlations for DQPN when compared with the other 2 instruments were for diet quality, as measured by the Healthy Eating Index 2015; between DQPN and the FFQ, the correlation was 0.58 (P < 0.001), and between DQPN and the FR, the correlation was 0.56 (P < 0.001). Selected nutrients and food groups also showed moderate strength correlations. Test-retest reproducibility for measuring diet quality was evaluated for DQPN and showed a correlation of 0.70 (P < 0.0001). CONCLUSIONS: The current study offers evidence that DQPN is comparable to traditional dietary assessment tools for estimating overall diet quality. This performance, plus DQPN’s ease-of-use and scalability, may recommend it in efforts to make dietary assessment a universal part of clinical care.
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spelling pubmed-105508002023-10-06 Dietary Assessment by Pattern Recognition: a Comparative Analysis Bernstein, Adam M. Rhee, Lauren Q. Njike, Valentine Y. Katz, David L. Curr Dev Nutr Original Research BACKGROUND: Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide use. OBJECTIVE: This study aimed to assess 1) the validity of Diet ID in measuring diet quality, food group and nutrient intake against 2 traditional dietary assessment methods (i.e., food record [FR], food frequency questionnaire) and 2) the test reproducibility/reliability of Diet ID to obtain similar results with repeat assessments. METHODS: Using a participant-sourcing platform for online research, we recruited 90 participants, 58 of whom completed DQPN, a 3-d FR (via the Automated Self-Administered 24-hour Dietary Assessment Tool), and a food frequency questionnaire (FFQ, via the Dietary History Questionnaire III). We estimated mean nutrient and food group intake with all 3 instruments and generated Pearson correlations between them. RESULTS: Mean age (SD) of participants was 38 (11) y, and more than half were male (64%). The strongest correlations for DQPN when compared with the other 2 instruments were for diet quality, as measured by the Healthy Eating Index 2015; between DQPN and the FFQ, the correlation was 0.58 (P < 0.001), and between DQPN and the FR, the correlation was 0.56 (P < 0.001). Selected nutrients and food groups also showed moderate strength correlations. Test-retest reproducibility for measuring diet quality was evaluated for DQPN and showed a correlation of 0.70 (P < 0.0001). CONCLUSIONS: The current study offers evidence that DQPN is comparable to traditional dietary assessment tools for estimating overall diet quality. This performance, plus DQPN’s ease-of-use and scalability, may recommend it in efforts to make dietary assessment a universal part of clinical care. American Society for Nutrition 2023-09-11 /pmc/articles/PMC10550800/ /pubmed/37807976 http://dx.doi.org/10.1016/j.cdnut.2023.101999 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research
Bernstein, Adam M.
Rhee, Lauren Q.
Njike, Valentine Y.
Katz, David L.
Dietary Assessment by Pattern Recognition: a Comparative Analysis
title Dietary Assessment by Pattern Recognition: a Comparative Analysis
title_full Dietary Assessment by Pattern Recognition: a Comparative Analysis
title_fullStr Dietary Assessment by Pattern Recognition: a Comparative Analysis
title_full_unstemmed Dietary Assessment by Pattern Recognition: a Comparative Analysis
title_short Dietary Assessment by Pattern Recognition: a Comparative Analysis
title_sort dietary assessment by pattern recognition: a comparative analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550800/
https://www.ncbi.nlm.nih.gov/pubmed/37807976
http://dx.doi.org/10.1016/j.cdnut.2023.101999
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