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oai:repisalud.isciii.es:20.500.12105/85522024-11-28T19:25:37Zcom_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19608col_20.500.12105_16964

00925njm 22002777a 4500 dc Castelló Pastor, Adela author Lope Carvajal, Virginia author Vioque, Jesus author Santamariña, Carmen author Pedraz-Pingarrón, Carmen author Abad, Soledad author Ederra, María author Salas-Trejo, Dolores author Vidal, Carmen author Sánchez-Contador, Carmen author Aragones, Nuria author Perez-Gomez, Beatriz author Pollan-Santamaria, Marina author 2016 The objective of the present study was to assess the reproducibility of data-driven dietary patterns in different samples extracted from similar populations. Dietary patterns were extracted by applying principal component analyses to the dietary information collected from a sample of 3550 women recruited from seven screening centres belonging to the Spanish breast cancer (BC) screening network (Determinants of Mammographic Density in Spain (DDM-Spain) study). The resulting patterns were compared with three dietary patterns obtained from a previous Spanish case-control study on female BC (Epidemiological study of the Spanish group for breast cancer research (GEICAM: grupo Español de investigación en cáncer de mama)) using the dietary intake data of 973 healthy participants. The level of agreement between patterns was determined using both the congruence coefficient (CC) between the pattern loadings (considering patterns with a CC≥0·85 as fairly similar) and the linear correlation between patterns scores (considering as fairly similar those patterns with a statistically significant correlation). The conclusions reached with both methods were compared. This is the first study exploring the reproducibility of data-driven patterns from two studies and the first using the CC to determine pattern similarity. We were able to reproduce the EpiGEICAM Western pattern in the DDM-Spain sample (CC=0·90). However, the reproducibility of the Prudent (CC=0·76) and Mediterranean (CC=0·77) patterns was not as good. The linear correlation between pattern scores was statistically significant in all cases, highlighting its arbitrariness for determining pattern similarity. We conclude that the reproducibility of widely prevalent dietary patterns is better than the reproducibility of more population-specific patterns. More methodological studies are needed to establish an objective measurement and threshold to determine pattern similarity. Br J Nutr. 2016 Aug;116(4):734-42. 10.1017/S000711451600252X 1475-2662 0007-1145 The British journal of nutrition 27374250 http://hdl.handle.net/20.500.12105/8552 BC breast cancer CC congruence coefficient Component loadings Component scores Congruence coefficients DDM-Spain Determinants of Mammographic Density in Spain Dietary patterns EpiGEICAM Epidemiological study of the Spanish group for breast cancer research (GEICAM: grupo Español de investigación en cáncer de mama) PCA principal component analysis Principal component analyses Reproducibility Reproducibility of data-driven dietary patterns in two groups of adult Spanish women from different studies