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Compositional analysis of dietary patterns.
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; Vanaclocha-Espi, M; Chirlaque, M D; 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.
Afiliación
  • Solans M; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Coenders G; 2 Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Girona, Spain.
  • Marcos-Gragera R; 3 Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain.
  • Castelló A; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Gràcia-Lavedan E; 2 Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Girona, Spain.
  • Benavente Y; 2 Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Girona, Spain.
  • Moreno V; 3 Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain.
  • Pérez-Gómez B; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Amiano P; 4 Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
  • Fernández-Villa T; 5 Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.
  • Guevara M; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Gómez-Acebo I; 6 ISGlobal, Barcelona, Spain.
  • Fernández-Tardón G; 7 ISGlobal, Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Vanaclocha-Espi M; 8 Unit of molecular and genetic epidemiology in infections and cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain.
  • Chirlaque MD; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Capelo R; 9 Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Barrios R; 10 Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Aragonés N; 11 Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.
  • Molinuevo A; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Vitelli-Storelli F; 12 Cardiovascular and Metabolic Diseases Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
  • Castilla J; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Dierssen-Sotos T; 13 Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department, Basque Country, San Sebastian, Spain.
  • Castaño-Vinyals G; 14 Instituto de Biomedicina, Universidad de León, León, Spain.
  • Kogevinas M; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Pollán M; 15 Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain.
  • Saez M; 1 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Stat Methods Med Res ; 28(9): 2834-2847, 2019 09.
Article en En | MEDLINE | ID: mdl-30045678
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Conducta Alimentaria Tipo de estudio: Clinical_trials / Observational_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Stat Methods Med Res Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Conducta Alimentaria Tipo de estudio: Clinical_trials / Observational_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Stat Methods Med Res Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido