@misc{10481/70536,
year = {2021},
month = {8},
url = {http://hdl.handle.net/10481/70536},
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.},
organization = {official Spanish Institutions},
organization = {CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN)},
organization = {Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS)},
organization = {European Commission	PI13/00673	
PI13/00492	
PI13/00272	
PI13/01123	
PI13/00462	
PI13/00233	
PI13/02184	
PI13/00728	
PI13/01090	
PI13/01056	
PI14/01722	
PI14/00636	
PI14/00618	
PI14/00696	
PI14/01206	
PI14/01919	
PI14/00853	
PI14/01374},
organization = {The European Regional Development Fund	PI14/00972	
PI14/00728	
PI14/01471	
PI16/00473	
PI16/00662	
PI16/01873	
PI16/01094	
PI16/00501	
PI16/00533	
PI16/00381	
PI16/00366	
PI16/01522	
PI16/01120	
PI17/00764	
PI17/01183	
PI17/00855	
PI17/01347	
PI17/00525	
PI17/01827	
PI17/00532	
PI17/00215},
organization = {European Commission	PI17/01441	
PI17/00508	
PI17/01732	
PI17/00926	
PI19/00957	
PI19/00386	
PI19/00309	
PI19/01032	
PI19/00576	
PI19/00017	
PI19/01226	
PI19/00781	
PI19/01560	
PI19/01332	
PI20/01802	
PI20/00138	
PI20/01532	
PI20/00456	
PI20/00339	
PI20/00557	
PI20/00886	
PI20/01158},
organization = {Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grant},
organization = {European Research Council (ERC)},
organization = {European Commission	340918},
organization = {La Caixa Foundation	2013ACUP00194},
organization = {Junta de Andalucia	PI0458/2013	
PS0358/2016	
PI0137/2018},
organization = {Generalitat Valenciana
European Commission	PROMETEO/2017/017},
organization = {SEMERGEN grant},
publisher = {Springer},
keywords = {Dietary food patterns},
keywords = {Cardiometabolic Risk},
keywords = {Metabolic syndrome},
keywords = {Pro-vegetarian},
title = {Pro‑vegetarian food patterns and cardiometabolic risk in the PREDIMED‑Plus study: a cross‑sectional baseline analysis},
doi = {10.1007/s00394-021-02647-4},
author = {Oncina Cánovas, Alejandro and Bueno Cavanillas, Aurora},
}