Tags

Type your tag names separated by a space and hit enter

Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis.
Eur J Nutr. 2022 Feb; 61(1):357-372.EJ

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.

Authors+Show Affiliations

CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. vioque@umh.es. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. vioque@umh.es. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain. vioque@umh.es. 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.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain. Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain. Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine, University of Valencia, Valencia, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal D'Investigació Médica (IMIM), Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain. Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. 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.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Internal Medicine, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de La Victoria Hospital, University of Málaga, Málaga, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. 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.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain.Department of Preventive Medicine, University of Valencia, Valencia, Spain. Institute of Biomedicine (IBIOMED), University of León, León, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain.Department of Preventive Medicine, University of Valencia, Valencia, Spain. Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain.Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain.CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Department of Endocrinology, Institut D'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain.Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Lipid Clinic, Department of Endocrinology and Nutrition, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain. Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain. Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine, University of Valencia, Valencia, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal D'Investigació Médica (IMIM), Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. 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.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Internal Medicine, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de La Victoria Hospital, University of Málaga, Málaga, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain. Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain. Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine, University of Valencia, Valencia, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal D'Investigació Médica (IMIM), Barcelona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. 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.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain. Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain. Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal D'Investigació Médica (IMIM), Barcelona, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain. Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.

Pub Type(s)

Journal Article
Randomized Controlled Trial

Language

eng

PubMed ID

34368892

Citation

Oncina-Cánovas, Alejandro, et al. "Pro-vegetarian Food Patterns and Cardiometabolic Risk in the PREDIMED-Plus Study: a Cross-sectional Baseline Analysis." European Journal of Nutrition, vol. 61, no. 1, 2022, pp. 357-372.
Oncina-Cánovas A, Vioque J, González-Palacios S, et al. Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis. Eur J Nutr. 2022;61(1):357-372.
Oncina-Cánovas, A., Vioque, J., González-Palacios, S., Martínez-González, M. Á., Salas-Salvadó, J., Corella, D., Zomeño, D., Martínez, J. A., Alonso-Gómez, Á. M., Wärnberg, J., Romaguera, D., López-Miranda, J., Estruch, R., Bernal-Lopez, R. M., Lapetra, J., Serra-Majem, J. L., Bueno-Cavanillas, A., Tur, J. A., Martín-Sánchez, V., ... García-de-la-Hera, M. (2022). Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis. European Journal of Nutrition, 61(1), 357-372. https://doi.org/10.1007/s00394-021-02647-4
Oncina-Cánovas A, et al. Pro-vegetarian Food Patterns and Cardiometabolic Risk in the PREDIMED-Plus Study: a Cross-sectional Baseline Analysis. Eur J Nutr. 2022;61(1):357-372. PubMed PMID: 34368892.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis. AU - Oncina-Cánovas,Alejandro, AU - Vioque,Jesús, AU - González-Palacios,Sandra, AU - Martínez-González,Miguel Ángel, AU - Salas-Salvadó,Jordi, AU - Corella,Dolores, AU - Zomeño,Dolores, AU - Martínez,J Alfredo, AU - Alonso-Gómez,Ángel M, AU - Wärnberg,Julia, AU - Romaguera,Dora, AU - López-Miranda,José, AU - Estruch,Ramon, AU - Bernal-Lopez,Rosa M, AU - Lapetra,José, AU - Serra-Majem,J Luís, AU - Bueno-Cavanillas,Aurora, AU - Tur,Josep A, AU - Martín-Sánchez,Vicente, AU - Pintó,Xavier, AU - Delgado-Rodríguez,Miguel, AU - Matía-Martín,Pilar, AU - Vidal,Josep, AU - Vázquez,Clotilde, AU - Daimiel,Lidia, AU - Ros,Emili, AU - Toledo,Estefanía, AU - Babio,Nancy, AU - Sorli,Jose V, AU - Schröder,Helmut, AU - Zulet,María Angeles, AU - Sorto-Sánchez,Carolina, AU - Barón-López,Francisco Javier, AU - Compañ-Gabucio,Laura, AU - Morey,Marga, AU - García-Ríos,Antonio, AU - Casas,Rosa, AU - Gómez-Pérez,Ana María, AU - Santos-Lozano,José Manuel, AU - Vázquez-Ruiz,Zenaida, AU - Nishi,Stephanie K, AU - Asensio,Eva M, AU - Soldevila,Núria, AU - Abete,Itziar, AU - Goicolea-Güemez,Leire, AU - Buil-Cosiales,Pilar, AU - García-Gavilán,Jesús F, AU - Canals,Erik, AU - Torres-Collado,Laura, AU - García-de-la-Hera,Manuela, Y1 - 2021/08/09/ PY - 2021/05/19/received PY - 2021/07/19/accepted PY - 2021/8/10/pubmed PY - 2022/1/27/medline PY - 2021/8/9/entrez KW - Cardiometabolic risk KW - Dietary food patterns KW - Metabolic syndrome KW - Pro-vegetarian SP - 357 EP - 372 JF - European journal of nutrition JO - Eur J Nutr VL - 61 IS - 1 N2 - 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. SN - 1436-6215 UR - https://www.unboundmedicine.com/medline/citation/34368892/full_citation DB - PRIME DP - Unbound Medicine ER -