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Methods of a posteriori identification of food patterns in Brazilian children: a systematic review/Metodologias de identificacao de padroes alimentares a posteriori em criancas brasileiras: revisao sistematica

The objective of this study is to provide guidance for identifying dietary patterns using the a posteriori approach, and analyze the methodological aspects of the studies conducted in Brazil that identified the dietary patterns of children. Articles were selected from the Latin American and Caribbea...

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Bibliographic Details
Published in:Ciência & saude coletiva 2016-01, p.143
Main Authors: de Carvalho, Carolina Abreu, Fonseca, Poliana Cristina de Almeida, Nobre, Luciana Neri, Priore, Silvia Eloiza, Franceschini, Sylvia do Carmo Castro
Format: Article
Language:Spanish
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Summary:The objective of this study is to provide guidance for identifying dietary patterns using the a posteriori approach, and analyze the methodological aspects of the studies conducted in Brazil that identified the dietary patterns of children. Articles were selected from the Latin American and Caribbean Literature on Health Sciences, Scientific Electronic Library Online and Pubmed databases. The key words were: Dietary pattern; Food pattern; Principal Components Analysis; Factor analysis; Cluster analysis; Reduced rank regression. We included studies that identified dietary patterns of children using the a posteriori approach. Seven studies published between 2007 and 2014 were selected, six of which were cross-sectional and one cohort, Five studies used the food frequency questionnaire for dietary assessment; one used a 24-hour dietary recall and the other a food list. The method of exploratory approach used in most publications was principal components factor analysis, followed by cluster analysis. The sample size of the studies ranged from 232 to 4231, the values of the Kaiser-Meyer-Olkin test from 0.524 to 0.873, and Cronbach's alpha from 0.51 to 0.69. Few Brazilian studies identified dietary patterns of children using the a posteriori approach and principal components factor analysis was the technique most used.
ISSN:1413-8123
1678-4561
DOI:10.1590/1413-81232015211.18962014