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Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study

Background: Estimation of usual dietary intake poses a challenge in epidemiological studies. We applied a blended approach that combines the strengths provided by repeated 24-h food lists (24HFLs) and a food frequency questionnaire (FFQ). Methods: At least two web-based 24HFLs and one FFQ were compl...

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Autores principales: Mitry, Patricia, Wawro, Nina, Six-Merker, Julia, Zoller, Dorothee, Jourdan, Carolin, Meisinger, Christa, Thierry, Sigrid, Nöthlings, Ute, Knüppel, Sven, Boeing, Heiner, Linseisen, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743021/
https://www.ncbi.nlm.nih.gov/pubmed/31552261
http://dx.doi.org/10.3389/fnut.2019.00145
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author Mitry, Patricia
Wawro, Nina
Six-Merker, Julia
Zoller, Dorothee
Jourdan, Carolin
Meisinger, Christa
Thierry, Sigrid
Nöthlings, Ute
Knüppel, Sven
Boeing, Heiner
Linseisen, Jakob
author_facet Mitry, Patricia
Wawro, Nina
Six-Merker, Julia
Zoller, Dorothee
Jourdan, Carolin
Meisinger, Christa
Thierry, Sigrid
Nöthlings, Ute
Knüppel, Sven
Boeing, Heiner
Linseisen, Jakob
author_sort Mitry, Patricia
collection PubMed
description Background: Estimation of usual dietary intake poses a challenge in epidemiological studies. We applied a blended approach that combines the strengths provided by repeated 24-h food lists (24HFLs) and a food frequency questionnaire (FFQ). Methods: At least two web-based 24HFLs and one FFQ were completed by 821 participants in the KORA FF4 study. Consumption probabilities were estimated using logistic mixed models, adjusting for covariates and the FFQ data on consumption frequency. Intake amount of a consumed food item was predicted for each participant based on the results of the second Bavarian Food Consumption Survey (BVS II). By combining consumption probability and estimated consumption amount, the usual food intake for each participant was estimated. These results were compared to results obtained without considering FFQ information for consumption probability estimation, as well as to conventional FFQ data. Results: The results of the blended approach for food group intake were often higher than the FFQ-based results. Intraclass correlation coefficients between both methods ranged between 0.21 and 0.86. Comparison of both methods resulted in weighted kappa values based on quintiles ranging from fair (0.34) to excellent agreement (0.84). Omission of FFQ information in the consumption probability models distinctly affected the results at the group level, though individual intake data were slightly affected, for the most part. Conclusions: Usual dietary intake data based on the blended approach differs from the FFQ-based results both in absolute terms and in classification according to quintiles. The application of the blended approach has been demonstrated as a possible tool in nutritional epidemiology, as a comparison with published studies showed that the blended approach yields reasonable estimates. The inclusion of the FFQ information is valuable especially with regard to irregularly consumed foods. A validation study including biomarkers of dietary intake is warranted.
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spelling pubmed-67430212019-09-24 Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study Mitry, Patricia Wawro, Nina Six-Merker, Julia Zoller, Dorothee Jourdan, Carolin Meisinger, Christa Thierry, Sigrid Nöthlings, Ute Knüppel, Sven Boeing, Heiner Linseisen, Jakob Front Nutr Nutrition Background: Estimation of usual dietary intake poses a challenge in epidemiological studies. We applied a blended approach that combines the strengths provided by repeated 24-h food lists (24HFLs) and a food frequency questionnaire (FFQ). Methods: At least two web-based 24HFLs and one FFQ were completed by 821 participants in the KORA FF4 study. Consumption probabilities were estimated using logistic mixed models, adjusting for covariates and the FFQ data on consumption frequency. Intake amount of a consumed food item was predicted for each participant based on the results of the second Bavarian Food Consumption Survey (BVS II). By combining consumption probability and estimated consumption amount, the usual food intake for each participant was estimated. These results were compared to results obtained without considering FFQ information for consumption probability estimation, as well as to conventional FFQ data. Results: The results of the blended approach for food group intake were often higher than the FFQ-based results. Intraclass correlation coefficients between both methods ranged between 0.21 and 0.86. Comparison of both methods resulted in weighted kappa values based on quintiles ranging from fair (0.34) to excellent agreement (0.84). Omission of FFQ information in the consumption probability models distinctly affected the results at the group level, though individual intake data were slightly affected, for the most part. Conclusions: Usual dietary intake data based on the blended approach differs from the FFQ-based results both in absolute terms and in classification according to quintiles. The application of the blended approach has been demonstrated as a possible tool in nutritional epidemiology, as a comparison with published studies showed that the blended approach yields reasonable estimates. The inclusion of the FFQ information is valuable especially with regard to irregularly consumed foods. A validation study including biomarkers of dietary intake is warranted. Frontiers Media S.A. 2019-09-06 /pmc/articles/PMC6743021/ /pubmed/31552261 http://dx.doi.org/10.3389/fnut.2019.00145 Text en Copyright © 2019 Mitry, Wawro, Six-Merker, Zoller, Jourdan, Meisinger, Thierry, Nöthlings, Knüppel, Boeing and Linseisen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Mitry, Patricia
Wawro, Nina
Six-Merker, Julia
Zoller, Dorothee
Jourdan, Carolin
Meisinger, Christa
Thierry, Sigrid
Nöthlings, Ute
Knüppel, Sven
Boeing, Heiner
Linseisen, Jakob
Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title_full Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title_fullStr Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title_full_unstemmed Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title_short Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study
title_sort usual dietary intake estimation based on a combination of repeated 24-h food lists and a food frequency questionnaire in the kora ff4 cross-sectional study
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743021/
https://www.ncbi.nlm.nih.gov/pubmed/31552261
http://dx.doi.org/10.3389/fnut.2019.00145
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