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Title: Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis
Author: Oncina Cánovas, Alejandro
Vioque, Jesús
González Palacios, Sandra
Martínez-González, Miguel Ángel, 1957-
Salas Salvadó, Jordi
Corella Piquer, Dolores
Zomeño, Dolores
Martínez, J. Alfredo
Alonso Gómez, Ángel M.
Wärnberg, Julia
Romaguera, Dora
López Miranda, José
Estruch Riba, Ramon
Bernal Lopez, Rosa M.
Lapetra, José
Serra Majem, Lluís
Bueno Cavanillas, Aurora
Tur, Josep A.
Martín Sánchez, Vicente
Pintó Sala, Xavier
Delgado Rodríguez, Miguel
Matía Martín, Pilar
Vidal i Cortada, Josep
Vázquez, Clotilde
Daimiel, Lidia
Ros Rahola, Emilio
Toledo, Estefanía
Babio, Nancy
Sorli, Jose V.
Schröder, Helmut
Zulet, M. Angeles
Sorto Sánchez, Carolina
Barón López, Francisco Javier
Compañ Gabucio, Laura
Morey, Marga
García Ríos, Antonio
Casas, Rosa
Gómez Pérez, Ana María
Santos Lozano, José Manuel
Vázquez Ruiz, Zenaida
Nishi, Stephanie K.
Asensio, Eva M.
Soldevila, Núria
Abete, Itziar
Goicolea Güemez, Leire
Buil Cosiales, Pilar
García Gavilán, Jesús F.
Canals, Erik
Torres Collado, Laura
García de la Hera, Manuela
Keywords: Síndrome metabòlica
Malalties cardiovasculars
Hàbits alimentaris
Metabolic syndrome
Cardiovascular diseases
Food habits
Issue Date: 9-Aug-2021
Publisher: Springer Science and Business Media LLC
Abstract: Purpose: 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. Methods: 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. Results: 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). Conclusion: 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.
Note: Reproducció del document publicat a:
It is part of: European Journal of Nutrition, 2021
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Appears in Collections: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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