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Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec

BACKGROUND: The objective of this study was to develop and validate a short, self-administered questionnaire to assess diet quality in clinical settings, using the Alternative Healthy Eating Index (AHEI) as reference. METHODS: A total of 1040 men and women (aged 44.6 ± 14.4 y) completed a validated...

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Autores principales: Lafrenière, J., Harrison, S., Laurin, D., Brisson, C., Talbot, D., Couture, P., Lemieux, S., Lamarche, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685233/
https://www.ncbi.nlm.nih.gov/pubmed/31387609
http://dx.doi.org/10.1186/s12966-019-0821-6
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author Lafrenière, J.
Harrison, S.
Laurin, D.
Brisson, C.
Talbot, D.
Couture, P.
Lemieux, S.
Lamarche, B.
author_facet Lafrenière, J.
Harrison, S.
Laurin, D.
Brisson, C.
Talbot, D.
Couture, P.
Lemieux, S.
Lamarche, B.
author_sort Lafrenière, J.
collection PubMed
description BACKGROUND: The objective of this study was to develop and validate a short, self-administered questionnaire to assess diet quality in clinical settings, using the Alternative Healthy Eating Index (AHEI) as reference. METHODS: A total of 1040 men and women (aged 44.6 ± 14.4 y) completed a validated web-based food frequency questionnaire (webFFQ) and had their height and weight measured (development sample). Participants were categorized arbitrarily according to diet quality (high: AHEI score ≥ 65/110, low: AHEI score < 65/110) based on dietary intake data from the webFFQ. The Brief Diet Quality Assessment Tool was developed using a classification and regression tree (CART) approach and individual answers to the webFFQ among participants considered to have a plausible energy intake (ratio of reported energy intake to basal metabolic rate ≥ 1.2 and < 2.4; n = 1040). A second sample of 3344 older adults (aged 66.5 ± 6.4 y) was used to test the external validity of the Brief Diet Quality Assessment Tool (external validation sample). RESULTS: The decision tree included sequences of 3 to 6 binary questions, yielding 21 different pathways classifying diet quality as being high or low. In the development sample, the area under the receiver operating characteristic (ROC) curve of the predictive model was 0.92, with sensitivity, specificity and agreement values of 89.5, 83.9 and 87.2%. Compared with individuals having a low-quality diet according to the Brief Diet Quality Assessment Tool (mean AHEI 56.7 ± 11.4), individuals classified as having a high-quality diet (mean AHEI 71.3 ± 11.0) were significantly older, and had lower BMI, percent body fat and waist circumference, and had lower blood pressure, triglycerides, cholesterol/HDL ratio and fasting insulin as well as higher HDL-cholesterol concentrations (all P < 0.05). Similar results were observed in the external validation sample, although overall performance of the Brief Diet Quality Assessment Tool was slightly lower than in the development sample, with an area under the ROC curve of 0.79 and sensitivity, specificity and agreement values of 73.0, 69.0 and 71.3%, respectively. CONCLUSION: The CART approach yielded a simple and rapid Brief Diet Quality Assessment Tool that identifies individuals at risk of having a low-quality diet. Further studies are needed to test the performance of this tool in primary care settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-019-0821-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-66852332019-08-12 Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec Lafrenière, J. Harrison, S. Laurin, D. Brisson, C. Talbot, D. Couture, P. Lemieux, S. Lamarche, B. Int J Behav Nutr Phys Act Research BACKGROUND: The objective of this study was to develop and validate a short, self-administered questionnaire to assess diet quality in clinical settings, using the Alternative Healthy Eating Index (AHEI) as reference. METHODS: A total of 1040 men and women (aged 44.6 ± 14.4 y) completed a validated web-based food frequency questionnaire (webFFQ) and had their height and weight measured (development sample). Participants were categorized arbitrarily according to diet quality (high: AHEI score ≥ 65/110, low: AHEI score < 65/110) based on dietary intake data from the webFFQ. The Brief Diet Quality Assessment Tool was developed using a classification and regression tree (CART) approach and individual answers to the webFFQ among participants considered to have a plausible energy intake (ratio of reported energy intake to basal metabolic rate ≥ 1.2 and < 2.4; n = 1040). A second sample of 3344 older adults (aged 66.5 ± 6.4 y) was used to test the external validity of the Brief Diet Quality Assessment Tool (external validation sample). RESULTS: The decision tree included sequences of 3 to 6 binary questions, yielding 21 different pathways classifying diet quality as being high or low. In the development sample, the area under the receiver operating characteristic (ROC) curve of the predictive model was 0.92, with sensitivity, specificity and agreement values of 89.5, 83.9 and 87.2%. Compared with individuals having a low-quality diet according to the Brief Diet Quality Assessment Tool (mean AHEI 56.7 ± 11.4), individuals classified as having a high-quality diet (mean AHEI 71.3 ± 11.0) were significantly older, and had lower BMI, percent body fat and waist circumference, and had lower blood pressure, triglycerides, cholesterol/HDL ratio and fasting insulin as well as higher HDL-cholesterol concentrations (all P < 0.05). Similar results were observed in the external validation sample, although overall performance of the Brief Diet Quality Assessment Tool was slightly lower than in the development sample, with an area under the ROC curve of 0.79 and sensitivity, specificity and agreement values of 73.0, 69.0 and 71.3%, respectively. CONCLUSION: The CART approach yielded a simple and rapid Brief Diet Quality Assessment Tool that identifies individuals at risk of having a low-quality diet. Further studies are needed to test the performance of this tool in primary care settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-019-0821-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-06 /pmc/articles/PMC6685233/ /pubmed/31387609 http://dx.doi.org/10.1186/s12966-019-0821-6 Text en © The Author(s). 2019 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lafrenière, J.
Harrison, S.
Laurin, D.
Brisson, C.
Talbot, D.
Couture, P.
Lemieux, S.
Lamarche, B.
Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title_full Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title_fullStr Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title_full_unstemmed Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title_short Development and validation of a Brief Diet Quality Assessment Tool in the French-speaking adults from Quebec
title_sort development and validation of a brief diet quality assessment tool in the french-speaking adults from quebec
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685233/
https://www.ncbi.nlm.nih.gov/pubmed/31387609
http://dx.doi.org/10.1186/s12966-019-0821-6
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