RT Journal Article
T1 Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis.
A1 Oncina-Cánovas, Alejandro
A1 Vioque, Jesús
A1 González-Palacios, Sandra
A1 Martínez-González, Miguel Ángel
A1 Salas-Salvadó, Jordi
A1 Corella, Dolores
A1 Zomeño, Dolores
A1 Martínez, J Alfredo
A1 Alonso-Gómez, Ángel M
A1 Wärnberg, Julia
A1 Romaguera, Dora
A1 López-Miranda, José
A1 Estruch, Ramon
A1 Bernal-Lopez, Rosa M
A1 Lapetra, José
A1 Serra-Majem, J Luís
A1 Bueno-Cavanillas, Aurora
A1 Tur, Josep A
A1 Martín-Sánchez, Vicente
A1 Pintó, Xavier
A1 Delgado-Rodríguez, Miguel
A1 Matía-Martín, Pilar
A1 Vidal, Josep
A1 Vázquez, Clotilde
A1 Daimiel, Lidia
A1 Ros, Emili
A1 Toledo, Estefanía
A1 Babio, Nancy
A1 Sorli, Jose V
A1 Schröder, Helmut
A1 Zulet, María Angeles
A1 Sorto-Sánchez, Carolina
A1 Barón-López, Francisco Javier
A1 Compañ-Gabucio, Laura
A1 Morey, Marga
A1 García-Ríos, Antonio
A1 Casas, Rosa
A1 Gómez-Pérez, Ana María
A1 Santos-Lozano, José Manuel
A1 Vázquez-Ruiz, Zenaida
A1 Nishi, Stephanie K
A1 Asensio, Eva M
A1 Soldevila, Núria
A1 Abete, Itziar
A1 Goicolea-Güemez, Leire
A1 Buil-Cosiales, Pilar
A1 García-Gavilán, Jesús F
A1 Canals, Erik
A1 Torres-Collado, Laura
A1 García-de-la-Hera, Manuela
K1 Cardiometabolic risk
K1 Dietary food patterns
K1 Metabolic syndrome
K1 Pro-vegetarian
AB We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study. We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently. Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously used to ascertain the cardiometabolic risk, adjusting for potential confounders. A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models. The regression coefficients for 5th vs. 1st quintile were - 0.16 (95% CI: - 0.33 to 0.01) for gPVG (p trend: 0.015), and - 0.23 (95% CI: - 0.41 to - 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019). Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk, whereas higher adherence to uPVG was associated to higher cardiovascular risk.
YR 2021
FD 2021-08-09
LK https://hdl.handle.net/10668/25801
UL https://hdl.handle.net/10668/25801
LA en
DS RISalud
RD Apr 17, 2025