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Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis

The use of dietary patterns to assess dietary intake has become increasingly common in nutritional epidemiology studies due to the complexity and multidimensionality of the diet. Currently, two main approaches have been widely used to assess dietary patterns: data-driven and hypothesis-driven analys...

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Autores principales: Previdelli, Ágatha Nogueira, de Andrade, Samantha Caesar, Fisberg, Regina Mara, Marchioni, Dirce Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083981/
https://www.ncbi.nlm.nih.gov/pubmed/27669289
http://dx.doi.org/10.3390/nu8100593
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author Previdelli, Ágatha Nogueira
de Andrade, Samantha Caesar
Fisberg, Regina Mara
Marchioni, Dirce Maria
author_facet Previdelli, Ágatha Nogueira
de Andrade, Samantha Caesar
Fisberg, Regina Mara
Marchioni, Dirce Maria
author_sort Previdelli, Ágatha Nogueira
collection PubMed
description The use of dietary patterns to assess dietary intake has become increasingly common in nutritional epidemiology studies due to the complexity and multidimensionality of the diet. Currently, two main approaches have been widely used to assess dietary patterns: data-driven and hypothesis-driven analysis. Since the methods explore different angles of dietary intake, using both approaches simultaneously might yield complementary and useful information; thus, we aimed to use both approaches to gain knowledge of adolescents’ dietary patterns. Food intake from a cross-sectional survey with 295 adolescents was assessed by 24 h dietary recall (24HR). In hypothesis-driven analysis, based on the American National Cancer Institute method, the usual intake of Brazilian Healthy Eating Index Revised components were estimated. In the data-driven approach, the usual intake of foods/food groups was estimated by the Multiple Source Method. In the results, hypothesis-driven analysis showed low scores for Whole grains, Total vegetables, Total fruit and Whole fruits), while, in data-driven analysis, fruits and whole grains were not presented in any pattern. High intakes of sodium, fats and sugars were observed in hypothesis-driven analysis with low total scores for Sodium, Saturated fat and SoFAA (calories from solid fat, alcohol and added sugar) components in agreement, while the data-driven approach showed the intake of several foods/food groups rich in these nutrients, such as butter/margarine, cookies, chocolate powder, whole milk, cheese, processed meat/cold cuts and candies. In this study, using both approaches at the same time provided consistent and complementary information with regard to assessing the overall dietary habits that will be important in order to drive public health programs, and improve their efficiency to monitor and evaluate the dietary patterns of populations.
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spelling pubmed-50839812016-11-01 Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis Previdelli, Ágatha Nogueira de Andrade, Samantha Caesar Fisberg, Regina Mara Marchioni, Dirce Maria Nutrients Article The use of dietary patterns to assess dietary intake has become increasingly common in nutritional epidemiology studies due to the complexity and multidimensionality of the diet. Currently, two main approaches have been widely used to assess dietary patterns: data-driven and hypothesis-driven analysis. Since the methods explore different angles of dietary intake, using both approaches simultaneously might yield complementary and useful information; thus, we aimed to use both approaches to gain knowledge of adolescents’ dietary patterns. Food intake from a cross-sectional survey with 295 adolescents was assessed by 24 h dietary recall (24HR). In hypothesis-driven analysis, based on the American National Cancer Institute method, the usual intake of Brazilian Healthy Eating Index Revised components were estimated. In the data-driven approach, the usual intake of foods/food groups was estimated by the Multiple Source Method. In the results, hypothesis-driven analysis showed low scores for Whole grains, Total vegetables, Total fruit and Whole fruits), while, in data-driven analysis, fruits and whole grains were not presented in any pattern. High intakes of sodium, fats and sugars were observed in hypothesis-driven analysis with low total scores for Sodium, Saturated fat and SoFAA (calories from solid fat, alcohol and added sugar) components in agreement, while the data-driven approach showed the intake of several foods/food groups rich in these nutrients, such as butter/margarine, cookies, chocolate powder, whole milk, cheese, processed meat/cold cuts and candies. In this study, using both approaches at the same time provided consistent and complementary information with regard to assessing the overall dietary habits that will be important in order to drive public health programs, and improve their efficiency to monitor and evaluate the dietary patterns of populations. MDPI 2016-09-23 /pmc/articles/PMC5083981/ /pubmed/27669289 http://dx.doi.org/10.3390/nu8100593 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Previdelli, Ágatha Nogueira
de Andrade, Samantha Caesar
Fisberg, Regina Mara
Marchioni, Dirce Maria
Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title_full Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title_fullStr Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title_full_unstemmed Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title_short Using Two Different Approaches to Assess Dietary Patterns: Hypothesis-Driven and Data-Driven Analysis
title_sort using two different approaches to assess dietary patterns: hypothesis-driven and data-driven analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083981/
https://www.ncbi.nlm.nih.gov/pubmed/27669289
http://dx.doi.org/10.3390/nu8100593
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