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Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis.
Oncina-Cánovas, Alejandro; Vioque, Jesús; González-Palacios, Sandra; Martínez-González, Miguel Ángel; Salas-Salvadó, Jordi; Corella, Dolores; Zomeño, Dolores; Martínez, J Alfredo; Alonso-Gómez, Ángel M; Wärnberg, Julia; Romaguera, Dora; López-Miranda, José; Estruch, Ramon; Bernal-Lopez, Rosa M; Lapetra, José; Serra-Majem, J Luís; Bueno-Cavanillas, Aurora; Tur, Josep A; Martín-Sánchez, Vicente; Pintó, Xavier; Delgado-Rodríguez, Miguel; Matía-Martín, Pilar; Vidal, Josep; Vázquez, Clotilde; Daimiel, Lidia; Ros, Emili; Toledo, Estefanía; Babio, Nancy; Sorli, Jose V; Schröder, Helmut; Zulet, María 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.
Afiliação
  • Oncina-Cánovas A; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
  • Vioque J; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain.
  • González-Palacios S; Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.
  • Martínez-González MÁ; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. vioque@umh.es.
  • Salas-Salvadó J; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. vioque@umh.es.
  • Corella D; Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain. vioque@umh.es.
  • Zomeño D; Dpto. Salud Pública, Facultad de Medicina, Hª de La Ciencia y Ginecología, Avda. Ramón y Cajal s/n, Sant Joan d'Alacant, 03550, Alicante, Spain. vioque@umh.es.
  • Martínez JA; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
  • Alonso-Gómez ÁM; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain.
  • Wärnberg J; Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.
  • Romaguera D; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • López-Miranda J; Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.
  • Estruch R; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Bernal-Lopez RM; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Lapetra J; Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain.
  • Serra-Majem JL; Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.
  • Bueno-Cavanillas A; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
  • Tur JA; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Martín-Sánchez V; Department of Preventive Medicine, University of Valencia, Valencia, Spain.
  • Pintó X; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Delgado-Rodríguez M; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal D'Investigació Médica (IMIM), Barcelona, Spain.
  • Matía-Martín P; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Vidal J; Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.
  • Vázquez C; Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
  • Daimiel L; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Ros E; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.
  • Toledo E; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Babio N; EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain.
  • Sorli JV; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Schröder H; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.
  • Zulet MA; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Sorto-Sánchez C; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
  • Barón-López FJ; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Compañ-Gabucio L; Department of Internal Medicine, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
  • Morey M; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • García-Ríos A; Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de La Victoria Hospital, University of Málaga, Málaga, Spain.
  • Casas R; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Gómez-Pérez AM; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain.
  • Santos-Lozano JM; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Vázquez-Ruiz Z; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain.
  • Nishi SK; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
  • Asensio EM; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
  • Soldevila N; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Abete I; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain.
  • Goicolea-Güemez L; Department of Preventive Medicine, University of Valencia, Valencia, Spain.
  • Buil-Cosiales P; Institute of Biomedicine (IBIOMED), University of León, León, Spain.
  • García-Gavilán JF; Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Canals E; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain.
  • Torres-Collado L; Department of Preventive Medicine, University of Valencia, Valencia, Spain.
  • García-de-la-Hera M; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain.
Eur J Nutr ; 61(1): 357-372, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34368892
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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Síndrome Metabólica Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Eur J Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Síndrome Metabólica Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Eur J Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha