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Compositional analysis of dietary patterns

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Autores de FISABIO

Autores ajenos a FISABIO

  • Solans M
  • Coenders G
  • Marcos-Gragera R
  • Castelló A
  • Gràcia-Lavedan E
  • Benavente Y
  • Moreno V
  • Pérez-Gómez B
  • Amiano P
  • Fernández-Villa T
  • Guevara M
  • Gómez-Acebo I
  • Fernández-Tardón G
  • Chirlaque MD
  • Capelo R
  • Barrios R
  • Aragonés N
  • Molinuevo A
  • Vitelli-Storelli F
  • Castilla J
  • Dierssen-Sotos T
  • Castaño-Vinyals G
  • Kogevinas M
  • Pollán M
  • Saez M

Grupos de Investigación

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.

Datos de la publicación

ISSN/ISSNe:
0962-2802, 1477-0334

STATISTICAL METHODS IN MEDICAL RESEARCH  SAGE PUBLICATIONS LTD

Tipo:
Article
Páginas:
2834-2847
PubMed:
30045678

Citas Recibidas en Web of Science: 23

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Keywords

  • Compositional data analysis; dietary patterns; epidemiology; principal balances; MCC-Spain

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