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Contribution of cardio-vascular risk factors to depressive status in the PREDIMED-PLUS Trial. A cross-sectional and a 2-year longitudinal study.
Martín-Peláez, Sandra; Serra-Majem, Lluis; Cano-Ibáñez, Naomi; Martínez-González, Miguel Ángel; Salas-Salvadó, Jordi; Corella, Dolores; Lassale, Camille; Martínez, Jose Alfredo; Alonso-Gómez, Ángel M; Wärnberg, Julia; Vioque, Jesús; Romaguera, Dora; López-Miranda, José; Estruch, Ramón; Tinahones, Francisco J; Lapetra, José; Fernández-Aranda, Fernando; Bueno-Cavanillas, Aurora; Tur, Josep A; Martín, Vicente; Pintó, Xavier; Delgado-Rodríguez, Miguel; Matía, Pilar; Vidal, Josep; Vázquez, Clotilde; Daimiel, Lidia; Ros, Emili; Toledo, Estefanía; Nishi, Stephanie K; Sorli, Jose V; Malcampo, Mireia; Zulet, M Ángeles; Moreno-Rodríguez, Anaí; Cueto-Galán, Raquel; Vivancos-Aparicio, Diego; Colom, Antoni; García-Ríos, Antonio; Casas, Rosa; Bernal-López, M Rosa; Santos-Lozano, Jose Manuel; Vázquez, Zenaida; Gómez-Martínez, Carlos; Ortega-Azorín, Carolina; Del Val, Jose Luís; Abete, Itziar; Goikoetxea-Bahon, Amaia; Pascual, Elena; Becerra-Tomás, Nerea; Chillarón, Juan J; Sánchez-Villegas, Almudena.
Afiliação
  • Martín-Peláez S; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
  • Serra-Majem L; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.
  • Cano-Ibáñez N; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Martínez-González MÁ; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
  • Salas-Salvadó J; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
  • Corella D; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.
  • Lassale C; Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Martínez JA; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Alonso-Gómez ÁM; Department of Preventive Medicine and Public Health, IdiSNA, University of Navarre, Pamplona, Spain.
  • Wärnberg J; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Vioque J; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Romaguera D; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Reus, Spain.
  • López-Miranda J; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain.
  • Estruch R; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
  • Tinahones FJ; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Lapetra J; Department of Preventive Medicine, University of Valencia, Valencia, Spain.
  • Fernández-Aranda F; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Bueno-Cavanillas A; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, 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 V; Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain.
  • Pintó X; Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
  • Delgado-Rodríguez M; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Matía P; 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.
  • Vidal J; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Vázquez C; Department of Nursing, School of Health Sciences. University of Malaga- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain.
  • Daimiel L; Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Ros E; Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH. Alicante, Spain.
  • Toledo E; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Nishi SK; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.
  • Sorli JV; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Malcampo M; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain.
  • Zulet MÁ; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Moreno-Rodríguez A; Department of Internal Medicine, Institut dÌnvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
  • Cueto-Galán R; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Vivancos-Aparicio D; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain.
  • Colom A; 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 Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain.
  • Casas R; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Bernal-López MR; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
  • Santos-Lozano JM; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
  • Vázquez Z; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.
  • Gómez-Martínez C; Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Ortega-Azorín C; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Del Val JL; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.
  • Abete I; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain.
  • Goikoetxea-Bahon A; Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Pascual E; Institute of Biomedicine (IBIOMED), University of León, León, Spain.
  • Becerra-Tomás N; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Chillarón JJ; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain.
  • Sánchez-Villegas A; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.
PLoS One ; 17(4): e0265079, 2022.
Article em En | MEDLINE | ID: mdl-35417452
ABSTRACT

BACKGROUND:

Cardio-vascular disease and depression are thought to be closely related, due to shared risk factors. The aim of the study was to determine the association between cardio-vascular risk (CVR) factors and depressive status in a population (55-75 years) with metabolic syndrome (MetS) from the PREDIMED-Plus trial. METHODS AND

FINDINGS:

Participants were classified into three groups of CVR according to the Framingham-based REGICOR function (1) low (LR), (2) medium (MR) or (3) high/very high (HR). The Beck Depression Inventory-II (BDI-II) was used to assess depressive symptoms at baseline and after 2 years. The association between CVR and depressive status at baseline (n = 6545), and their changes after 2 years (n = 4566) were evaluated through multivariable regression models (logistic and linear models). HR women showed higher odds of depressive status than LR [OR (95% CI) = 1.78 (1.26, 2.50)]. MR and HR participants with total cholesterol <160 mg/mL showed higher odds of depression than LR [OR (95% CI) = 1.77 (1.13, 2.77) and 2.83 (1.25, 6.42) respectively)] but those with total cholesterol ≥280 mg/mL showed lower odds of depression than LR [OR (95% CI) = 0.26 (0.07, 0.98) and 0.23 (0.05, 0.95), respectively]. All participants decreased their BDI-II score after 2 years, being the decrease smaller in MR and HR diabetic compared to LR [adjusted mean±SE = -0.52±0.20, -0.41±0.27 and -1.25±0.31 respectively). MR and HR participants with total cholesterol between 240-279 mg/mL showed greater decreases in the BDI-II score compared to LR (adjusted mean±SE = -0.83±0.37, -0.77±0.64 and 0.97±0.52 respectively).

CONCLUSIONS:

Improving cardiovascular health could prevent the onset of depression in the elderly. Diabetes and total cholesterol in individuals at high CVR, may play a specific role in the precise response. International Standard Randomized Controlled Trial (ISRCTN89898870).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Depressão Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Depressão Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha