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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-5083981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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