Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223387
Title: Sex differences in (poly)phenol intake patterns and cardiovascular risk in Spanish adult population at high risk of cardiovascular disease: Cross-sectional findings
Author: Rubín García, María
Vitelli Storelli, Facundo
Toledo Atucha, Estefanía
Álvarez-Álvarez, Laura
Martínez González, Miguel Ángel, 1957-
Corella Piquer, Dolores
Salas Salvadó, Jordi
Zomeño, María Dolores
Martínez, J. Alfredo
Alonso Gómez, Ángel M.
Wärnberg, Julia
Vioque, Jesús
Romaguera, Dora
López Miranda, José
Estruch Riba, Ramon
Tinahones, Francisco J.
Santos Lozano, José Manuel
Serra Majem, Lluís
Bueno Cavanillas, Aurora
Tur Marí, Josep A. (Josep Antoni)
Pintó Sala, Xavier
Gaforio, José Juan
Matía Martín, Pilar
Vidal i Cortada, Josep
Mas-Fontao, Sebastián
Daimiel, Lidia
Ros Rahola, Emilio
Vázquez Ruiz, Zenaida
Fernández de la Puente, María
Álvarez-Sala, Andrea
Pérez-Vega, Alejandra
García Rios, Antonio
González Palacios, Sandra
Gómez-Pérez, Ana M.
Zulet, María Ángeles
Chaplin, Alice
Casas Rodríguez, Rosa M.
Cano Ibáñez, Naomi
Tojal Sierra, Lucas
Cueto-Galán, Raquel
Buil Cosiales, Pilar
Gutiérrez-Carrasquilla, Liliana
Sorlí, José V.
Malcampo, Mireia
Ortiz-Morales, Ana M.
Mira-Castejón, Luis Alfredo
Rios, Santiago
Fitó Colomer, Montserrat
Martín Sánchez, Vicente
Keywords: Polifenols
Malalties cardiovasculars
Diferències entre sexes
Polyphenols
Cardiovascular diseases
Sex differences
Issue Date: 5-Aug-2025
Publisher: Elsevier B.V.
Abstract: Background: Men and women tend to follow different dietary patterns, but this is often disregarded when relating diet to health outcomes. Objective: Our aim was to analyze (poly)phenol intake patterns and their association with cardiovascular risk (CVR) according to sex. Methods: 6633 participants were included in this cross-sectional study. The intake of 26 (poly)phenol classes/subclasses was included in the factor analysis obtaining for the total sample, men and women. Linear regression models were performed with the estimation of absolute CVR (Framingham equation) as the dependent variable, and each (poly)phenol pattern categorized into quintiles as the independent variable. Results: For the total sample, (poly)phenol pattern three (olives and olive oil) was positively associated with CVR (βQ5vs.Q1 = 2.71%, 95% CI = 1.45, 3.96), presenting a higher risk of diabetes prevalence, smoking more and consuming more salt. In men, pattern three (olives and olive oil) was also positively associated with CVR (βQ5vs.Q1 = 3.17%, 95% CI = 1.58, 5.64), exhibiting higher prevalence of diabetes and higher sodium intake. Also in men, pattern four (coffee) was positively associated (βQ5vs.Q1 = 1.99 %, 95% CI = 0.26, 3.73) presenting a higher diabetes and current smokers prevalence and higher sugar intake. In women, greater adherence to pattern four (coffee) was associated with higher CVR (βQ5vs.Q1 = 2.19%, 95% CI = 1.05, 3.34). Conclusions: We found sex differences in (poly)phenol intake patterns and in their associations with CVR. These differences may be explained by the fact that subjects at higher risk at baseline may be motivated to improve their dietary habit (reverse causality).
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.nut.2025.112919
It is part of: Nutrition, 2025, vol. 140
URI: https://hdl.handle.net/2445/223387
Related resource: https://doi.org/10.1016/j.nut.2025.112919
ISSN: 0899-9007
Appears in Collections:Articles publicats en revistes (Medicina)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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