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Abstract: Instead of looking at individual nutrients or foods, dietary pattern analysis has emerged as a promising approach to examine the relationship between diet and health outcomes. Despite dietary patterns being compositional (i.e. usually a higher intake of some foods implies that less of other foods are being consumed), compositional data analysis has not yet been applied in this setting. We describe three compositional data analysis approaches (compositional principal component analysis, balances and principal balances) that enable the extraction of dietary patterns by using control subjects from the Spanish multicase-control (MCC-Spain) study. In particular, principal balances overcome the limitations of purely data-driven or investigator-driven methods and present dietary patterns as trade-offs between eating more of some foods and less of others.
Fuente: Stat Methods Med Res. 2019 Sep;28(9):2834-2847
Editorial: SAGE Publications
Año de publicación: 2019
Nº de páginas: 14
Tipo de publicación: Artículo de Revista
DOI: 10.1177/0962280218790110
ISSN: 0962-2802,1477-0334
Url de la publicación: https://www.doi.org/10.1177/0962280218790110
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SOLANS, M.
COENDERS, G.
MARCOS-GRAGERA, R.
CASTELLO, A.
GRACIA-LAVEDAN, E.
BENAVENTE, Y.
MORENO, V.
PÉREZ-GÓMEZ, B.
AMIANO, P.
FERNÁNDEZ-VILLA, T.
GUEVARA, M.
INES GOMEZ ACEBO
FERNÁNDEZ-TARDÓN, G.
VANACLOCHA-ESPI, M.
CHIRLAQUE, M.D.
CAPELO, R.
BARRIOS, R.
ARAGONÉS, N.
MOLINUEVO, A.
TRINIDAD DIERSSEN SOTOS
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