RT Journal Article
T1 Compositional analysis of dietary patterns
A1 Solans, M.
A1 Capelo Álvarez, Rocío
A1 Sáez, M.
AB Instead of looking at individual nutrients or foods, dietary pattern analysis has emerged as a promising approach toexamine the relationship between diet and health outcomes. Despite dietary patterns being compositional (i.e. usually ahigher intake of some foods implies that less of other foods are being consumed), compositional data analysis has not yetbeen applied in this setting. We describe three compositional data analysis approaches (compositional principalcomponent analysis, balances and principal balances) that enable the extraction of dietary patterns by using controlsubjects from the Spanish multicase-control (MCC-Spain) study. In particular, principal balances overcome the limitationsof purely data-driven or investigator-driven methods and present dietary patterns as trade-offs between eating more ofsome foods and less of others.
PB SAGE Publications
SN 0962-2802
SN 1477-0334 (electrónico)
YR 2018
FD 2018
LK http://hdl.handle.net/10272/20877
UL http://hdl.handle.net/10272/20877
LA eng
NO 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., Capelo, R., Barrios, R., Aragonés, N., Molinuevo, A., … Saez, M. (2018). Compositional analysis of dietary patterns. In Statistical Methods in Medical Research (Vol. 28, Issue 9, pp. 2834–2847). SAGE Publications. https://doi.org/10.1177/0962280218790110
NO The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article:The study was partially funded by the ‘‘Accion Transversal del Cancer’’, approved by the Spanish Ministry Council on 11October 2007; by the Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP); by the Institutode Salud Carlos III-FEDER (grant nos PI08/1770, PI08/0533, PI08/1359, PS09/00773-Cantabria, PS09/01286-Leo´n, PS09/01903-Valencia, PS09/02078-Huelva, PS09/01662-Granada, PI11/01403, PI11/01810, PI11/02213, PI12/00488, PI14/01219,PI14/0613, PI15/00069, PI15/00914, PI15/01032, PI17/01280, PI09/0914, IJCI-2014-20900); by the Spanish Ministry ofHealth (grant no. CB06/02/1002); by the Spanish Ministry of Economy and Competitiveness (grant no. MTM2015-65016-C2-1-R); by the Catalan Government-Agency for Management of University and Research Grants (AGAUR) (grant nos2014SGR551, 2017SGR656, 2017SGR733, 2017SGR723, 2017SGR1085); by the University of Girona (grant no.MPCUdG2016/069, GDRCompetUdG2017/19); by the Fundacio´n Marque´s de Valdecilla (grant no. API 10/09); by theJunta de Castilla y Leo´n (grant no. LE22A10-2); by the Consejerı´a de Salud of the Junta de Andalucı´a (grant nos PI-0571-2009, PI-0306-2011, salud201200057018tra); by the Conselleria de Sanitat of the Generalitat Valenciana (grant no. AP_061/10);by the Regional Government of the Basque Country; by the Consejerı´a de Sanidad de la Regio´n de Murcia; by the EuropeanCommission (FOOD-CT-2006-036224-HIWATE); by the Spanish Association Against Cancer (AECC) Scientific Foundation;by the Fundacio´n Caja de Ahorros de Asturias; and by the University of Oviedo. ISGlobal is a member of the CERCAProgramme, Generalitat de Catalunya.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026