Skip to main content
Top
Published in: European Journal of Nutrition 1/2022

Open Access 01-02-2022 | Original Contribution

Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis

Authors: Alejandro Oncina-Cánovas, Jesús Vioque, Sandra González-Palacios, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Dolores Corella, Dolores Zomeño, J. Alfredo Martínez, Ángel M. Alonso-Gómez, Julia Wärnberg, Dora Romaguera, José López-Miranda, Ramon Estruch, Rosa M. Bernal-Lopez, José Lapetra, J. Luís Serra-Majem, Aurora Bueno-Cavanillas, Josep A. Tur, Vicente Martín-Sánchez, Xavier Pintó, Miguel Delgado-Rodríguez, Pilar Matía-Martín, Josep Vidal, Clotilde Vázquez, Lidia Daimiel, Emili Ros, Estefanía Toledo, Nancy Babio, Jose V. Sorli, Helmut Schröder, María Angeles Zulet, Carolina Sorto-Sánchez, Francisco Javier Barón-López, Laura Compañ-Gabucio, Marga Morey, Antonio García-Ríos, Rosa Casas, Ana María Gómez-Pérez, José Manuel Santos-Lozano, Zenaida Vázquez-Ruiz, Stephanie K. Nishi, Eva M. Asensio, Núria Soldevila, Itziar Abete, Leire Goicolea-Güemez, Pilar Buil-Cosiales, Jesús F. García-Gavilán, Erik Canals, Laura Torres-Collado, Manuela García-de-la-Hera

Published in: European Journal of Nutrition | Issue 1/2022

Login to get access

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.
Literature
17.
go back to reference Gómez-Donoso C, Martínez-González MÁ, Martínez JA et al (2019) A provegetarian food pattern emphasizing preference for healthy plant-derived foods reduces the risk of overweight/obesity in the SUN cohort. Nutrients 11. pii: E1553. https://doi.org/10.3390/nu11071553 Gómez-Donoso C, Martínez-González MÁ, Martínez JA et al (2019) A provegetarian food pattern emphasizing preference for healthy plant-derived foods reduces the risk of overweight/obesity in the SUN cohort. Nutrients 11. pii: E1553. https://​doi.​org/​10.​3390/​nu11071553
19.
20.
go back to reference Willett W (1998) Nutritional epidemiology. Oxford University Press, New YorkCrossRef Willett W (1998) Nutritional epidemiology. Oxford University Press, New YorkCrossRef
Metadata
Title
Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis
Authors
Alejandro Oncina-Cánovas
Jesús Vioque
Sandra González-Palacios
Miguel Ángel Martínez-González
Jordi Salas-Salvadó
Dolores Corella
Dolores Zomeño
J. Alfredo Martínez
Ángel M. Alonso-Gómez
Julia Wärnberg
Dora Romaguera
José López-Miranda
Ramon Estruch
Rosa M. Bernal-Lopez
José Lapetra
J. Luís Serra-Majem
Aurora Bueno-Cavanillas
Josep A. Tur
Vicente Martín-Sánchez
Xavier Pintó
Miguel Delgado-Rodríguez
Pilar Matía-Martín
Josep Vidal
Clotilde Vázquez
Lidia Daimiel
Emili Ros
Estefanía Toledo
Nancy Babio
Jose V. Sorli
Helmut Schröder
María Angeles Zulet
Carolina Sorto-Sánchez
Francisco Javier Barón-López
Laura Compañ-Gabucio
Marga Morey
Antonio García-Ríos
Rosa Casas
Ana María Gómez-Pérez
José Manuel Santos-Lozano
Zenaida Vázquez-Ruiz
Stephanie K. Nishi
Eva M. Asensio
Núria Soldevila
Itziar Abete
Leire Goicolea-Güemez
Pilar Buil-Cosiales
Jesús F. García-Gavilán
Erik Canals
Laura Torres-Collado
Manuela García-de-la-Hera
Publication date
01-02-2022
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nutrition / Issue 1/2022
Print ISSN: 1436-6207
Electronic ISSN: 1436-6215
DOI
https://doi.org/10.1007/s00394-021-02647-4

Other articles of this Issue 1/2022

European Journal of Nutrition 1/2022 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine