Efecto de una pérdida de peso con dieta mediterránea hipocalórica y promoción de la actividad física en la prevención primaria cardiovascular: Estudio PREDIMED-PLUS

PI16/01522

Nombre agencia financiadora Ministerio de Economía y Competitividad
Acrónimo agencia financiadora MINECO
Programa Programa Estatal de I+D+I Orientada a los Retos de la Sociedad
Subprograma Salud, cambio demográfico y bienestar
Convocatoria Proyectos de investigación en salud (Modalidad Proyectos de investigación en salud) (AE Salud 2016)
Año convocatoria 2016
Unidad de gestión Instituto de Salud Carlos III (ISCIII)
Centro beneficiario UNIVERSIDAD DE NAVARRA
Centro realización UNIVERSIDAD DE NAVARRA
Identificador persistente http://dx.doi.org/10.13039/501100003329

Publicaciones

Resultados totales (Incluyendo duplicados): 20
Encontrada(s) 1 página(s)

Validation study of a Spanish version of the modified Telephone Interview for Cognitive Status (STICS-m), Validación de la versión en español de la Telephone Interview for Cognitive Status modificada

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Muñoz-García, Mariana
  • Cervantes, Sebastián
  • Razquin, Cristina
  • Guillén Grima, Francisco
  • Toledo, Juan B.
  • Martínez González, Miguel Ángel
  • Toledo, Estefanía
Objetivo: Estudiar la correlación de la Telephone Interview for Cognitive Status modificada en español(STICS-m) con el Mini-Mental State Examination (MMSE) y predecir la capacidad de la primera para detectar el desarrollo de demencia. Método: Ciento seis sujetos de un estudio de intervención dietética fueron evaluados personalmente con el MMSE y por teléfono con la STICS-m. La correlación entre ambos se midió con el coeficiente de correlación intraclase (CCI) de consistencia. Además, 932 participantes mayores de 55 años de la cohorte 'Seguimiento Universidad de Navarra' fueron evaluados con la STICS-m. Durante una mediana de seguimiento de 6,5 años, se recogió información sobre el desarrollo de demencia. Mediante regresión logística se estudió la asociación entre la puntuación de la STICS-m o el cambio a 2 años en la puntuación y el riesgo de desarrollar demencia, ajustando por apolipoproteína E, edad y años de educación universitaria. Resultados: El CCI entre el MMSE y la STICS-m fue de 0,31 (intervalo de confianza del 95% [IC95%]:0,13-0,48). La odds ratio (OR) ajustada para el desarrollo de demencia para cada punto adicional en la puntuación basal de la STICS-m fue de 0,85 (IC95%: 0,72-1,02; p = 0,084). Al considerar el cambio en la puntuación a los 2 años como variable independiente, la OR fue de 0,79 (IC95%: 0,67-0,93; p = 0,006)., Objective: To compare the Spanish version of the modified Telephone Interview of Cognitive Status(STICS-m) with the Mini-Mental State Examination (MMSE) and predict its ability to detect the development of dementia. Method: 106 participants in a dietary intervention trial underwent face-to-face evaluation with the MMSE, and phone interview with the STICS-m. The correlation between STICS-m and MMSE was assessed with the intraclass correlation coefficient (ICC) of consistency. Secondly, 932 participants over 55 years old from the ‘Seguimiento Universidad de Navarra’ cohort were evaluated with the STICS-m and data ondementia diagnosis were gathered (median follow-up time of 6.5 years). A logistic regression model evaluated the association between STICS-m score or 2-year changes in STICS-m score and risk of developing dementia, adjusting for ApoE, age and years of university education. Results: The ICC between the MMSE and the STICS-m was 0.31 (95% confidence interval [95%CI]: 0.13-0.48). The adjusted odds ratio (OR) for the development of dementia for each additional point in the baseline STICS-m score was 0.85 (95%CI: 0.72-1.02; p = 0.084). When considering the 2-year change inthe STICS-m score as exposure, the OR for the development of dementia was 0.79 (95%CI: 0.67-0.93; p = 0.006). Conclusions: The weak correlation between the STICS-m and the MMSE reflects moderate-low concurrent validity. Even so, the STICS-m can be regarded as an useful tool in the epidemiological setting since increasing scores appear to be able to predict a lower risk of developing dementia., The SUN Project has received funding from the Spanish Government-Instituto de Salud Carlos III, and the European Regional Development Fund (FEDER) (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615,PI14/01668, PI14/01798, PI14/01764, and G03/140), the Navarra Regional Government (45/2011, 122/2014), and the University of Navarra. The PREDIMED Plus-NAVARRA trial has received fundingfrom the European Research Council (Advanced Research Grant2013-2018; 340918) granted to MAMG, the Instituto de Salud Carlos III (PI13/01090, PI16/01522).




Higher versus lower nut consumption and changes in cognitive performance over two years in a population at risk of cognitive decline: a cohort study

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Ni, Jiaqi
  • Nishi, Stephanie K.
  • Babio, Nancy
  • Ros, Emilio
  • Basterra Gortari, Francisco Javier
  • Corella, Dolores
  • Castañer, Olga
  • Martínez, J. Alfredo
  • Alonso Gómez, Ángel M.
  • Wärnberg, Julia
  • Vioque, Jesús
  • Romaguera, Dora
  • López Miranda, José
  • Estruch, Ramón
  • Tinahones, Francisco J.
  • Santos Lozano, José Manuel
  • Serra-Majem, Lluis
  • Cano Ibáñez, Noemí
  • Tur, Josep A.
  • Fernández-García, José Manuel
  • Pintó, Xavier
  • Delgado Rodríguez, Miguel
  • Matía-Martín, Pilar
  • Vidal, Josep
  • Vázquez, Clotilde
  • Daimiel, Lidia
  • Fernández-Aranda, Fernando
  • Ruiz Canela, Miguel
  • Mestres Solà, Cristina
  • Portolés, Olga
  • Sala Vila, Aleix
  • García-Rios, Antonio
  • Compañ-Gabucio, Laura María
  • Gómez-Gracia, Enrique
  • Zulet, María Ángeles
  • Chaplin, Alice
  • Casas, Rosa
  • Martínez Diz, Silvia
  • Tojal-Sierra, Lucas
  • Gómez Pérez, Ana María
  • Toledo, Estefanía
  • Ríos, Santiago
  • Ortega Azorín, Carolina
  • Torre, Rafael de la
  • Peña-Orihuela, Patricia J.
  • García de la Hera, Manuela
  • Sayón-Orea, Carmen
  • Malcampo, Mireia
  • Salas-Salvadó, Jordi
Background: Tree nuts and peanuts (henceforth, nuts) are nutrient-dense foods rich in neuroprotective components; thus, their consumption could benefit
cognitive health. However, evidence to date is limited and inconsistent regarding the potential benefits of nuts for cognitive function.
Objective: To prospectively evaluate the association between nut consumption and 2-y changes in cognitive performance in older adults at cognitive
decline risk.
Methods: A total of 6,630 participants aged 55 to 75 y (mean age 65.04.9 y, 48.4% women) with overweight/obesity and metabolic syndrome
completed a validated semi-quantitative food frequency questionnaire and a comprehensive battery of neuropsychological tests at baseline and a 2-y
follow-up. Composite cognitive scores were used to assess global, general, attention, and executive function domains. Nut consumption was categorized as <1, 1 to <3, 3 to <7, and 7 servings/wk (1 serving¼30 g). Multivariable-adjusted linear regression models were fitted to assess associations
between baseline nut consumption and 2-y cognitive changes.
Results: Nut consumption was positively associated with 2-y changes in general cognitive function (P-trend <0.001). Compared with participants
consuming <1 serving/wk of nuts, those categorized as consuming 3 to <7 and 7 servings/wk showed more favorable changes in general cognitive
performance (β z-score [95% CI] ¼ 0.06 [0.00,0.12] and 0.13 [0.06,0.20], respectively). No significant changes were observed in the multivariableadjusted models for other cognitive domains assessed.
Conclusion: Frequent nut consumption was associated with a smaller decline in general cognitive performance over 2 y in older adults at risk of cognitive
decline. Randomized clinical trials to verify our findings are warranted., This work was supported by the official Spanish Institutions for
funding scientific biomedical research, CIBER Fisiopatología de la
Obesidad y Nutricion (CIBEROBN) and Instituto de Salud Carlos III
(ISCIII), through the Fondo de Investigacion para la Salud (FIS), which
is co-funded by the European Regional Development Fund (6 coordinated FIS projects leaded by JS-S and JoV, including the following
projects: 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, 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, 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); the Especial Action Project entitled:
Implementacion y evaluacion de una intervencion intensiva sobre la
actividad física Cohorte PREDIMED-Plus grant and the Recercaixa
(number 2013ACUP00194) grant to JS-S; grants from the European
Research Council (Advanced Research Grant 2014–2019; agreement
#340918); grants from the Consejería de Salud de la Junta de Andalucía
(PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/
017 and PROMETEO/2021/021 grants from the Consellería de
Innovacion, Universidades, Ciencia y Sociedad digital de la Generalitat
Valenciana; Grant PID2019-108858RB-I00 funded by AEI 10.13039/
501100011033 and by “ERDF A way of making Europe”; the
SEMERGEN grant; the AICO/2021/347 grants from the Generalitat
Valenciana. This research was also partially funded by EU-H2020
Grants (Eat2beNICE/ H2020-SFS-2016-2); and the Horizon 2020
PRIME study (Prevention and Remediation of Insulin Multimorbidity in
Europe; grant agreement #847879). JN is supported by a predoctoral
grant from Ministerio de Ciencia, Innovacion y Universidades (FPU 20/
00385). SKN is supported by a postdoctoral fellowship from the Canadian Institutes of Health Research (CIHR). JS-S, the senior author of
this paper, was partially supported by ICREA under the ICREA
Academia program.
Proyecto: MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, AEI, European Commission/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Horizon 2020 Framework Programme/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, 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, 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, PID2019-108858RB-I00, 847879




Contribution of cardio-vascular risk factors to depressive status in the PREDIMED-PLUS Trial. A cross-sectional and a 2-year longitudinal study

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Martín Peláez, Sandra
  • Serra-Majem, Lluis
  • Cano Ibáñez, Noemí
  • 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-Martín, Pilar
  • Vidal, Josep
  • Vázquez, Clotilde
  • Daimiel, Lidia
  • Ros, Emilio
  • Toledo, Estefanía
  • Nishi, Stephanie K.
  • Sorli, Jose V.
  • Malcampo, Mireia
  • Zulet, María Ángeles
  • Moreno Rodríguez, Anaí
  • Cueto Galán, Raquel
  • Vivancos Aparicio, Diego
  • Colom, Antoni
  • García-Rios, Antonio
  • Casas, Rosa
  • Bernal López, M. Rosa
  • Santos Lozano, José Manuel
  • Vázquez, Zenaida
  • Gómez-Martínez, Carlos
  • Ortega Azorín, Carolina
  • Val, José Luis del
  • Abete, Itziar
  • Goikoetxea Bahon, Amaia
  • Pascual, Elena
  • Becerra-Tomás, Nerea
  • Chillarón, Juan J.
  • Sánchez Villegas, María Almudena
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., The PREDIMED-Plus trial was supported by the European Research Council through a grant to MAM (Advanced Research Grant 2013-2018; 340918). The project was also supported by the official funding agency for biomedical research of the Spanish Government (ISCIII) through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (four coordinated FIS projects), who awarded grants to JS and JV (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, 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, PI17/01441, PI17/00508, PI17/01732 and PI17/00926). The International Nut&Dried Fruit Council-FESNAD also provided funding through a grant to MAM (201302), and Recercaixa also awarded a grant to JS (2013ACUP00194). The Department of Health, Generalitat de Cataluña by the calls 'Acció instrumental de programes de recerca orientats en lámbit de la recercaila innovació en salut' and 'Pla estrategic de recerca i innovació en salut (PERIS),' also awarded a grant to FF (SLT006/17/00246). This research was also partially funded by: Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); Generalitat Valenciana (PROMETEO/2017/017); SEMERGEN, CIBEROBN, FEDER and ISCIII (CB06/03); EU-H2020 Grants (Eat2beNICE/h2020-sfs-2016-2, ref.728018; PRIME/h2020-SC1-BHC-2018-2020, ref: 847879).
Proyecto: MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII), Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/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, 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, PI17-01441, PI17-00508, PI17-01732, PI17-00926




Dairy product consumption and changes in cognitive performance: two-year analysis of the PREDIMED-Plus Cohort

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Ni, Jiaqi
  • Nishi, Stephanie K.
  • Babio, Nancy
  • Martínez González, Miguel Ángel
  • Corella, Dolores
  • Castañer, Olga
  • Martínez, Jose Alfredo
  • Alonso Gómez, Ángel M.
  • Gómez-Gracia, Enrique
  • Vioque, Jesús
  • Romaguera, Dora
  • López Miranda, José
  • Estruch, Ramón
  • Tinahones, Francisco J.
  • Lapetra, José
  • Serra-Majem, Lluis
  • Bueno Cavanillas, Aurora
  • Tur, Josep A.
  • Martín-Sánchez, Vicente
  • Pintó, Xavier
  • Gaforio, José J.
  • Barabash Bustelo, Ana
  • Vidal, Josep
  • Vázquez, Clotilde
  • Daimiel, Lidia
  • Ros, Emilio
  • Toledo, Estefanía
  • Coltell, Oscar
  • Gómez-Martínez, Carlos
  • Zomeño, María Dolores
  • Donat Vargas, Carolina
  • Goicolea-Güemez, Leire
  • Bouzas, Cristina
  • García de la Hera, Manuela
  • Chaplin, Alice
  • García-Rios, Antonio
  • Casas, Rosa
  • Cornejo-Pareja, Isabel
  • Santos Lozano, José Manuel
  • Rognoni, Teresa
  • Saiz, Carmen
  • Paz-Graniel, Indira
  • Malcampo, Mireia
  • Sánchez Villegas, María Almudena
  • Salaverria-Lete, Itziar
  • García-Arellano, Ana
  • Schröder, Helmut
  • Salas-Salvadó, Jordi
Scope: Dairy consumption has been suggested to impact cognition; however, evidence is limited and inconsistent. This study aims to longitudinally assess the association between dairy consumption with cognitive changes in an older Spanish population at high cardiovascular disease risk.

Methods and results: Four thousand six hundred sixty eight participants aged 55–75 years, completed a validated food frequency questionnaire at baseline and a neuropsychological battery of tests at baseline and 2-year follow-up. Multivariable linear regression models are used, scaled by 100 (i.e., the units of β correspond to 1 SD/100), to assess associations between baseline tertile daily consumption and 2-year changes in cognitive performance. Participants in the highest tertile of total milk and whole-fat milk consumption have a greater decline in global cognitive function (β: –4.71, 95% CI: –8.74 to –0.69, p-trend = 0.020 and β: –6.64, 95% CI: –10.81 to –2.47, p-trend = 0.002, respectively) compared to those in the lowest tertile. No associations are observed between low fat milk, yogurt, cheese or fermented dairy consumption, and changes in cognitive performance.

Conclusion:Results suggest there are no clear prospective associations between consumption of most commonly consumed dairy products and cognition, although there may be an association with a greater rate of cognitive decline over a 2-year period in older adults at high cardiovascular disease risk for whole-fat milk., This work was supported by the official Spanish Institutions for funding
scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), and Instituto de Salud Carlos III (ISCIII), through
the Fondo de Investigación para la Salud (FIS), which is cofunded by
the European Regional Development Fund (six coordinated FIS projects
leaded by J.S.-S. and J.Vi., including the following projects: 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, 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, 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); the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to
JS-S.; the European Research Council (Advanced Research Grant 2014–
2019; agreement #340918) granted to MÁM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S.; grants from the Consejería de Salud
de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); the
PROMETEO/2017/017 and PROMETEO/2021/021 grants from the Generalitat Valenciana; the SEMERGEN grant; Juan de la Cierva–Incorporación
research grant (IJC2019-042420-I) of the Spanish Ministry of Economy,
Industry and Competitiveness and European Social Funds to JK. This
research was also partially funded by EU-H2020 Grants (Eat2beNICE/
H2020-SFS-2016-2; and the Horizon 2020 PRIME study (Prevention
and Remediation of Insulin Multimorbidity in Europe; grant agreement
#847879). J.N. is supported by a predoctoral grant from Ministerio de
Ciencia, Innovación y Universidades (FPU 20/00385). SKN is supported
by a postdoctoral fellowship from the Canadian Institutes of Health
Research (CIHR). C.G.-M. is supported by a predoctoral grant from the
University of Rovira I Virgili (2020PMF-PIPF-37). I.P.-G. is supported by a
predoctoral grant from Ministerio de Ciencia, Innovación y Universidades
(FPU 17/01925). J.S.-S., senior author of this paper, was partially supported by ICREA under the ICREA Academia program.
Proyecto: MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, MINECO, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, ISCIII, AEI, European Commission, European Commission/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020, Horizon 2020 Framework Programme, Horizon 2020 Framework Programme/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, 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, 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, IJC2019-042420-I, 728018, 847879, FPU 20-00385, FPU 17-01925




Association of lifestyle factors and inflammation with sarcopenic obesity, data from the PREDIMED-Plus trial

Dipòsit Digital de Documents de la UAB
  • Abete, Itziar|||0000-0002-6475-5387
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Galmes-Panades, Aina M..|||0000-0001-6977-9874
  • Ibero-Baraibar, Idoia
  • Babio, Nancy|||0000-0003-3527-5277
  • Estruch, Ramón|||0000-0003-1260-4445
  • Vidal, Josep|||0000-0002-4564-4518
  • Toledo, Estefania|||0000-0002-6263-4434
  • Razquin, Cristina
  • Bartolomé, Rafael
  • Díaz-López, Andrés|||0000-0002-7500-5629
  • Fiol-Sala, Miquel
  • Casas, Rosa|||0000-0002-0211-9166
  • Vera, Josep
  • Buil-Cosiales, Pilar|||0000-0002-8586-577X
  • Pintó, Xavier|||0000-0002-2216-2444
  • Corbella, Emili|||0000-0001-8818-1907
  • Portillo, Maria Puy
  • de Paz, José Antonio|||0000-0002-4389-1777
  • Martín, Vicente|||0000-0003-0552-2804
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Rosique-Esteban, Nuria
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Romaguera, Dora|||0000-0002-5762-8558
  • Martínez, J. Alfredo|||0000-0001-5218-6941
Background: Sarcopenia is a progressive age-related skeletal muscle disorder associated with increased likelihood of adverse outcomes. Muscle wasting is often accompanied by an increase in body fat, leading to 'sarcopenic obesity'. The aim of the present study was to analyse the association of lifestyle variables such as diet, dietary components, physical activity (PA), body composition, and inflammatory markers, with the risk of sarcopenic obesity. Methods: A cross-sectional analysis based on baseline data from the PREDIMED-Plus study was performed. A total of 1535 participants (48% women) with overweight/obesity (body mass index: 32.5 ± 3.3 kg/m; age: 65.2 ± 4.9 years old) and metabolic syndrome were categorized according to sex-specific tertiles (T) of the sarcopenic index (SI) as assessed by dual-energy X-ray absorptiometry scanning. Anthropometrical measurements, biochemical markers, dietary intake, and PA information were collected. Linear regression analyses were carried out to evaluate the association between variables. Results: Subjects in the first SI tertile were older, less physically active, showed higher frequency of abdominal obesity and diabetes, and consumed higher saturated fat and less vitamin C than subjects from the other two tertiles (all P < 0.05). Multiple adjusted linear regression models evidenced significant positive associations across tertiles of SI with adherence to the Mediterranean dietary score (P-trend < 0.05), PA (P-trend < 0.0001), and the 30 s chair stand test (P-trend < 0.0001), whereas significant negative associations were found with an inadequate vitamin C consumption (P-trend < 0.05), visceral fat and leucocyte count (all P-trend < 0.0001), and some white cell subtypes (neutrophils and monocytes), neutrophil-to-lymphocyte ratio, and platelet count (all P-trend < 0.05). When models were additionally adjusted by potential mediators (inflammatory markers, diabetes, and waist circumference), no relevant changes were observed, only dietary variables lost significance. Conclusions: Diet and PA are important regulatory mediators of systemic inflammation, which is directly involved in the sarcopenic process. A healthy dietary pattern combined with exercise is a promising strategy to limit age-related sarcopenia.




Isotemporal substitution of inactive time with physical activity and time in bed, cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study

Dipòsit Digital de Documents de la UAB
  • Galmes-Panades, Aina M..|||0000-0001-6977-9874
  • Varela-Mato, Veronica
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Corella, Dolores|||0000-0002-2366-4104
  • Schröder, Helmut|||0000-0003-2231-5081
  • Vioque, Jesús|||0000-0002-2284-148X
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Pintó, Xavier|||0000-0002-2216-2444
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • García-Rios, Antonio
  • Riquelme-Gallego, Blanca|||0000-0003-3422-7310
  • Gaforio, José J|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Micó Pérez, Rafael Manuel
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Ros, Emilio|||0000-0002-2573-1294
  • Garcia-Arellano, Ana
  • Díaz-López, Andrés|||0000-0002-7500-5629
  • Asensio, Eva M.
  • Castañer, Olga|||0000-0003-3169-997X
  • Fiol, Francisca
  • Mira-Castejón, Luis Alfredo
  • Moreno Rodríguez, Anai
  • Benavente-Marín, Juan Carlos
  • Abete, Itziar|||0000-0002-6475-5387
  • Tomaino, Laura
  • Casas, Rosa|||0000-0002-0211-9166
  • Barón López, Francisco Javier|||0000-0001-8707-304X
  • Fernández-García, José C.|||0000-0003-2229-8488
  • Santos-Lozano, José Manuel
  • Galera, Ana
  • Mascaró, Catalina M.
  • Razquin, Cristina
  • Papandreou, Christopher|||0000-0002-6803-507X
  • Portoles, Olga
  • Pérez-Vega, Karla Alejandra|||0000-0002-7524-2034
  • Fiol-Sala, Miquel
  • Compañ Gabucio, Laura M|||0000-0001-5324-1535
  • Vaquero-Luna, Jessica
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • Becerra-Tomás, Nerea|||0000-0002-4429-6507
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Romaguera, Dora|||0000-0002-5762-8558
This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m 2) from the PREDIMED-Plus study (). All participants had ≥3 components of the metabolic syndrome. Inactive time, physical activity and time in bed were objectively determined using triaxial accelerometers GENEActiv during 7 days (ActivInsights Ltd., Kimbolton, United Kingdom). Multiple adjusted linear and logistic regression models were used. Isotemporal substitution regression modelling was performed to assess the relationship of replacing the amount of time spent in one activity for another, on each outcome, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Inactive time was associated with indicators of obesity and the metabolic syndrome. Reallocating 30 min per day of inactive time to 30 min per day of time in bed was associated with lower BMI, waist circumference and glycated hemoglobin (HbA1c) (all p -values < 0.05). Reallocating 30 min per day of inactive time with 30 min per day of LPA or MVPA was associated with lower BMI, waist circumference, total fat, visceral adipose tissue, HbA1c, glucose, triglycerides, and higher body muscle mass and HDL cholesterol (all p-values < 0.05). Inactive time was associated with a poor cardio-metabolic profile. Isotemporal substitution of inactive time with MVPA and LPA or time in bed could have beneficial impact on cardio-metabolic health.
Proyecto: Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, 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, 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, PI17-01441, PI17-00508, PI17-01732, PI17-00926, JR17-00022, FJCI-2015-24058, 340918




Adopting a High-Polyphenolic Diet Is Associated with an Improved Glucose Profile, Prospective Analysis within the PREDIMED-Plus Trial

Dipòsit Digital de Documents de la UAB
  • Tresserra-Rimbau, Anna|||0000-0002-7022-9041
  • Castro-Barquero, Sara|||0000-0002-6876-5443
  • Becerra-Tomás, Nerea|||0000-0002-4429-6507
  • Babio, Nancy|||0000-0003-3527-5277
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Corella, Dolores|||0000-0002-2366-4104
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Romaguera, Dora|||0000-0002-5762-8558
  • Vioque, Jesús|||0000-0002-2284-148X
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Pintó, Xavier|||0000-0002-2216-2444
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • López-Miranda, José|||0000-0002-8844-0718
  • Cano-Ibáñez, Naomi|||0000-0002-3640-5486
  • Delgado-Rodríguez, Miguel
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Martín, Vicente|||0000-0003-0552-2804
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Ros, Emilio|||0000-0002-2573-1294
  • Basterra Gortari, Francisco Javier|||0000-0002-1506-2349
  • Fernández de la Puente, María
  • Asensio, Eva M.
  • Castañer, Olga|||0000-0003-3169-997X
  • Bullón-Vela, Vanessa|||0000-0003-3639-821X
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • Gómez-Gracia, Enrique
  • Cases-Pérez, Eugenio
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • García-Rios, Antonio
  • Casañas-Quintana, Tamara
  • Bernal-Lopez, María Rosa|||0000-0002-0238-0890
  • Santos-Lozano, José Manuel
  • Esteve-Luque, Virginia|||0000-0002-7631-8301
  • Bouzas, Cristina|||0000-0002-1407-8461
  • Vázquez-Ruiz, Zenaida|||0000-0002-6828-9627
  • Palau Galindo, Antoni|||0000-0002-2512-0872
  • Barragán, Rocío|||0000-0001-8072-3791
  • López Grau, Mercè
  • Razquín, Cristina|||0000-0003-3480-2645
  • Goicolea-Güemez, Leire
  • Toledo, Estefania|||0000-0002-6263-4434
  • Vergaz, Manel Vila
  • Lamuela-Raventós, Rosa M.|||0000-0002-1287-4560
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
Previous studies suggested that dietary polyphenols could reduce the incidence and complications of type-2 diabetes (T2D); although the evidence is still limited and inconsistent. This work analyzes whether changing to a diet with a higher polyphenolic content is associated with an improved glucose profile. At baseline, and at 1 year of follow-up visits, 5921 participants (mean age 65.0 ± 4.9, 48.2% women) who had overweight/obesity and metabolic syndrome filled out a validated 143-item semi-quantitative food frequency questionnaire (FFQ), from which polyphenol intakes were calculated. Energy-adjusted total polyphenols and subclasses were categorized in tertiles of changes. Linear mixed-effect models with random intercepts (the recruitment centers) were used to assess associations between changes in polyphenol subclasses intake and 1-year plasma glucose or glycosylated hemoglobin (HbA1c) levels. Increments in total polyphenol intake and some classes were inversely associated with better glucose levels and HbA1c after one year of follow-up. These associations were modified when the analyses were run considering diabetes status separately. To our knowledge, this is the first study to assess the relationship between changes in the intake of all polyphenolic groups and T2D-related parameters in a senior population with T2D or at high-risk of developing T2D.
Proyecto: Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, European Commission. Horizon 2020, Ministerio de Ciencia, Innovación y Universidades//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, 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, 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, 340918, AGL2016-75329-R




Inflammatory potential of diet and bone mineral density in a senior Mediterranean population, a cross-sectional analysis of PREDIMED-Plus study

Dipòsit Digital de Documents de la UAB
  • García-Gavilán, Jesús F.
  • Paz-Graniel, Indira
  • Babio, Nancy|||0000-0003-3527-5277
  • Romaguera, Dora|||0000-0002-5762-8558
  • Martínez, Jose Alfredo
  • Martín, Vicente|||0000-0003-0552-2804
  • Martínez, María Ángeles
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • de Paz, José Antonio|||0000-0002-4389-1777
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Bulló, Mònica|||0000-0002-0218-7046
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
Inflammation could play a key role in tissue damage and bone metabolism. The modified dietary inflammatory score (M-DIS) is a validated tool to estimate the inflammatory potential of the diet. In the present study, we evaluate the associations between the M-DIS and bone mineral density (BMD) in a senior Mediterranean population with overweight/obesity and metabolic syndrome. Baseline cross-sectional association between the M-DIS and bone mineral density was assessed in 1134 participants of the multicenter PREDIMED-Plus trial (aged 55-75 with overweight/obesity and metabolic syndrome). BMD was measured using Dual-energy X-ray Absorptiometry scans and participants answered a food frequency questionnaire to determine the M-DIS. BMD was categorized as low BMD when T score was equal or lower than -1 and normal BMD in another case. Associations between BMD and M-DIS were evaluated by using linear and logistic regressions adjusted by other co-variates. Participants in the top tertile of the M-DIS had a lower BMD at total femur [β (95% CI) − 0.02 (− 0.04, − 0.01)], trochanter areas [β (95% CI) − 0.03 (− 0.05, − 0.01)] and lumbar spine area [β (95% CI) − 0.03 (− 0.07, 0.01)] (but in the last case, measures were less precise and hence not statistically significant) compared to those in the lower M-DIS tertile. Multiple logistic regression analyses showed that the odds of the total femur and femoral trochanter osteopenia/osteoporosis were higher in participants in the top tertile compared to those in the lowest tertile of M-DIS [OR (95% CI) 1.71 (1.12, 2.64), P for trend 0.015; 2.02 (1.29, 3.21), P for trend 0.002, respectively]. A high pro-inflammatory diet, measured by the M-DIS, is associated with lower BMD in a senior Mediterranean population with metabolic syndrome. The online version contains supplementary material available at 10.1007/s00394-021-02751-5.
Proyecto: Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, European Commission. Horizon 2020, "la Caixa" Foundation, Ministerio de Ciencia, Innovación y Universidades//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, 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, 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, 340918, 2013ACUP00194, FPU17/01925




Does Consumption of Ultra-Processed Foods Matter for Liver Health? Prospective Analysis among Older Adults with Metabolic Syndrome

Dipòsit Digital de Documents de la UAB
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • Fiol-Sala, Miquel
  • Colom, Antoni|||0000-0001-5041-0778
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Corella, Dolores|||0000-0002-2366-4104
  • Soria-Florido, María Trinidad|||0000-0002-5625-9033
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramón|||0000-0003-1260-4445
  • Bernal-Lopez, María Rosa|||0000-0002-0238-0890
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, José J.|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Bes-Rastrollo, Maira|||0000-0002-9139-4206
  • Pascual, María
  • Sorlí, José V|||0000-0002-0130-2006
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Moreno-Rodriguez, Anai
  • Carmona González, Francisco Jesús
  • Valls-Enguix, Rafael
  • Janer, Juana M.
  • García-Rios, Antonio
  • Casas, Rosa|||0000-0002-0211-9166
  • Gómez Pérez, Ana María|||0000-0002-2874-5894
  • Santos-Lozano, José Manuel
  • Basterra Gortari, Francisco Javier|||0000-0002-1506-2349
  • Martínez, María Ángeles
  • Ortega-Azorin, Carolina|||0000-0001-6719-9358
  • Bayó, Joan
  • Abete, Itziar|||0000-0002-6475-5387
  • Salaverria-Lete, Itziar|||0000-0002-9504-4668
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • Babio, Nancy|||0000-0003-3527-5277
  • Carres, Lourdes
  • Romaguera, Dora|||0000-0002-5762-8558
Non-alcoholic fatty liver disease (NAFLD) includes a spectrum of liver alterations that can result in severe disease and even death. Consumption of ultra-processed foods (UPF) has been associated with obesity and related comorbidities. However, the link between UPF and NAFLD has not been sufficiently assessed. We aimed to investigate the prospective association between UPF consumption and liver health biomarkers. Methods: We followed for 1 year 5867 older participants with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus trial. A validated 143-item semi-quantitative food frequency questionnaire was used to evaluate consumption of UPF at baseline, 6, and 12 months. The degree of processing for foods and beverages (g/day) was established according to the NOVA classification system. The non-invasive fatty liver index (FLI) and hepatic steatosis index (HSI) were used to evaluate liver health at three points in time. The associations between changes in UPF consumption (percentage of total daily dietary intake (g)) and liver biomarkers were assessed using mixed-effects linear models with repeated measurements. Results: In this cohort, UPF consumption at baseline was 8.19% (SD 6.95%) of total daily dietary intake in grams. In multivariable models, each 10% daily increment in UPF consumption in 1 year was associated with significantly greater FLI (β 1.60 points, 95% CI 1.24;1.96 points) and HSI (0.43, 0.29; 0.57) scores (all p -values < 0.001). These associations persisted statistically significant after adjusting for potential dietary confounders and NAFLD risk factors. Conclusions: A higher UPF consumption was associated with higher levels of NAFLD-related biomarkers in older adults with overweight/obesity and MetS.
Proyecto: European Research Council, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, "la Caixa" Foundation, Ministerio de Economía y Competitividad//340918, 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, 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, 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, PI21/00465, CPII20/00014, 2013ACUP00194, IJC2019-042420-I




Impulsive Personality Traits Predicted Weight Loss in Individuals with Type 2 Diabetes after 3 Years of Lifestyle Interventions

Dipòsit Digital de Documents de la UAB
  • Testa, Giulia|||0000-0003-4200-8062
  • Camacho-Barcia, Lucía|||0000-0002-5989-936X
  • Gómez-Martínez, Carlos|||0000-0002-3077-6702
  • Mora-Maltas, Bernat|||0000-0002-4142-3208
  • De La Torre, Rafael|||0000-0002-6765-1866
  • Pintó, Xavier|||0000-0002-2216-2444
  • Corella, Dolores|||0000-0002-2366-4104
  • Granero, Roser|||0000-0001-6308-3198
  • Cuenca-Royo, Aida|||0000-0001-8551-5457
  • Jiménez-Murcia, Susana|||0000-0002-3596-8033
  • Babio, Nancy|||0000-0003-3527-5277
  • Fernández-Carrión, Rebeca
  • Esteve-Luque, Virginia|||0000-0002-7631-8301
  • Forcano, Laura
  • Ni, Jiaqi
  • Malcampo Manrúbia, Mireia|||0000-0002-1916-4537
  • De las Heras-Delgado, Sara|||0000-0002-3439-5712
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Fernández-Aranda, Fernando|||0000-0002-2968-9898
Impulsivity has been associated with type 2 diabetes (T2D) and may negatively impact its management. This study aimed to investigate impulsive personality traits in an older adult population with T2D and their predicting role in long-term weight control and glycemic management, through glycated hemoglobin (HbA), following 3 years of intervention with a Mediterranean diet. The Impulsive Behavior Scale (UPPS-P) was administered as a measure of impulsive traits at baseline. Results showed higher total baseline scores of UPPS-P, and higher positive urgency in individuals with T2D, compared with those without T2D. The regression analysis in patients with T2D showed that sensation seeking and lack of perseverance predicted weight loss at follow-up. By contrast, impulsive traits did not predict follow-up levels of HbA. In conclusion, the present findings suggest that higher impulsive traits in individuals with T2D seem to affect long-term weight control, but not glycemic control.
Proyecto: Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, European Commission. Horizon 2020, European Commission. Horizon 2020//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, 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, 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, 728018, 847879




Carbon dioxide (CO) emissions and adherence to Mediterranean diet in an adult population, the Mediterranean diet index as a pollution level index

Dipòsit Digital de Documents de la UAB
  • García, Silvia
  • Bouzas, Cristina|||0000-0002-1407-8461
  • Mateos, David
  • Pastor, Rosario
  • Álvarez, Laura
  • Rubín, María
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Corella, Dolores|||0000-0002-2366-4104
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • Lopez-Miranda, José
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Riquelme-Gallego, Blanca|||0000-0003-3422-7310
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, José J|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Bes-Rastrollo, Maira|||0000-0002-9139-4206
  • Guillem-Saiz, Patricia
  • Nishi, Stephanie
  • Cabanes, Robert
  • Abete, Itziar|||0000-0002-6475-5387
  • Goicolea-Güemez, Leire
  • Gómez-Gracia, Enrique
  • Signes-Pastor, Antonio José
  • Colom, Antoni|||0000-0001-5041-0778
  • García-Rios, Antonio
  • Castro-Barquero, Sara|||0000-0002-6876-5443
  • Fernández-García, José C..|||0000-0003-2229-8488
  • Santos-Lozano, José Manuel
  • Vázquez, Zenaida
  • Sorlí, José V.|||0000-0002-0130-2006
  • Pascual, Maria
  • Castañer, Olga|||0000-0003-3169-997X
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Vaquero-Luna, Jessica
  • Basterra Gortari, Francisco Javier|||0000-0002-1506-2349
  • Babio, Nancy|||0000-0003-3527-5277
  • Ciurana, Ramon
  • Martín, Vicente|||0000-0003-0552-2804
  • Tur, Josep A.
Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO emitted in an older adult population. Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO emissions in 6646 participants was assessed. Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO emissions expressed in kg/day: Q1 (≤2.01 kg CO), Q2 (2.02-2.34 kg CO), Q3 (2.35-2.79 kg CO) and Q4 (≥2.80 kg CO). More men than women induced higher dietary levels of CO emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO emissions. Mediterranean Diet index may be used as a pollution level index.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, 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, 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, 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, 340918




One-year longitudinal association between changes in dietary choline or betaine intake and cardiometabolic variables in the PREvención con DIeta MEDiterránea-Plus (PREDIMED-Plus) trial

Dipòsit Digital de Documents de la UAB
  • Díez-Ricote, Laura
  • San-Cristobal, Rodrigo
  • Concejo, M José
  • Martínez-González, Miguel Á
  • Corella, Dolores|||0000-0002-2366-4104
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez, J Alfredo
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep A.
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, José J|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Mas Fontao, Sebastián
  • Ros, Emilio|||0000-0002-2573-1294
  • Vázquez-Ruiz, Zenaida|||0000-0002-6828-9627
  • Ortega-Azorín, Carolina
  • García-Gavilán, Jesús F
  • Malcampo Manrúbia, Mireia|||0000-0002-1916-4537
  • Martínez-Urbistondo, Diego
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • García Rodríguez, Antonio
  • Gómez-Bellvert, Nuria
  • Chaplin, Alice
  • García-Rios, Antonio
  • Bernal-López, Rosa M
  • Santos-Lozano, José M
  • Basterra-Gortari, Javier
  • Sorlí, José V|||0000-0002-0130-2006
  • Murphy, Michelle
  • Gasulla, Griselda|||0000-0003-4018-5786
  • Micó, Víctor
  • Salaverria-Lete, Itziar|||0000-0002-9504-4668
  • Goñi Ochandorena, Estibaliz
  • Babio, Nancy|||0000-0003-3527-5277
  • Herraiz, Xavier
  • Ordovás, José M
  • Daimiel, Lidia|||0000-0001-9898-6629
Choline and betaine intakes have been related to cardiovascular health. We aimed to explore the relation between 1-y changes in dietary intake of choline or betaine and 1-y changes in cardiometabolic and renal function traits within the frame of the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial. We used baseline and 1-y follow-up data from 5613 participants (48.2% female and 51.8% male; mean ± SD age: 65.01 ± 4.91 y) to assess cardiometabolic traits, and 3367 participants to assess renal function, of the Spanish PREDIMED-Plus trial. Participants met ≥3 criteria of metabolic syndrome and had overweight or obesity [BMI (in kg/m 2) ≥27 and ≤40]. These criteria were similar to those of the PREDIMED parent study. Dietary intakes of choline and betaine were estimated from the FFQ. The greatest 1-y increase in dietary choline or betaine intake (quartile 4) was associated with improved serum glucose concentrations (−3.39 and −2.72 mg/dL for choline and betaine, respectively) and HbA1c levels (−0.10% for quartile 4 of either choline or betaine intake increase). Other significant changes associated with the greatest increase in choline or betaine intake were reduced body weight (−2.93 and −2.78 kg, respectively), BMI (−1.05 and −0.99, respectively), waist circumference (−3.37 and −3.26 cm, respectively), total cholesterol (−4.74 and −4.52 mg/dL, respectively), and LDL cholesterol (−4.30 and −4.16 mg/dL, respectively). Urine creatinine was reduced in quartile 4 of 1-y increase in choline or betaine intake (−5.42 and −5.74 mg/dL, respectively). Increases in dietary choline or betaine intakes were longitudinally related to improvements in cardiometabolic parameters. Markers of renal function were also slightly improved, and they require further investigation. This trial was registered at as ISRCTN89898870.
Proyecto: Agencia Estatal de Investigación, Agencia Estatal de Investigación, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//RTI2018-095569-B-I00, PCI2018-093009, 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, 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, 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




Metabolic syndrome criteria and severity and carbon dioxide (CO) emissions in an adult population

Dipòsit Digital de Documents de la UAB
  • García, Silvia
  • Pastor, Rosario
  • Monserrat-Mesquida, Margalida
  • Álvarez-Álvarez, Laura
  • Rubín-García, María
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Corella, Dolores|||0000-0002-2366-4104
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • Lopez-Miranda, José
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Riquelme-Gallego, Blanca|||0000-0003-3422-7310
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, José J.|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Sayón-Orea, Carmen|||0000-0002-4137-3263
  • Guillem-Saiz, Patricia
  • Valle-Hita, Cristina
  • Cabanes, Robert
  • Abete, Itziar|||0000-0002-6475-5387
  • Goicolea-Güemez, Leire
  • Gómez-Gracia, Enrique
  • Tercero-Maciá, Cristina
  • Colom, Antoni|||0000-0001-5041-0778
  • García-Rios, Antonio
  • Castro-Barquero, Sara|||0000-0002-6876-5443
  • Fernández-García, José C..|||0000-0003-2229-8488
  • Santos-Lozano, José Manuel
  • Cenoz, Juan Carlos
  • Barragán, Rocío|||0000-0001-8072-3791
  • Khoury, Nadine|||0000-0001-5184-5706
  • Castañer, Olga|||0000-0003-3169-997X
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Vaquero-Luna, Jessica
  • Bes-Rastrollo, Maira|||0000-0002-9139-4206
  • De las Heras-Delgado, Sara|||0000-0002-3439-5712
  • Ciurana, Ramon
  • Martín, Vicente|||0000-0003-0552-2804
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • Bouzas, Cristina|||0000-0002-1407-8461
Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. To assess the association between MetS severity and amount of carbon dioxide (CO) emitted in an adult population. Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. Higher glycaemia levels were found in people with higher CO emissions. The risk of having high severe MetS was related to high CO emissions. Low CO emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. ISRCTN, . Registered 05 September 2013.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//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, 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, 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




Role of NAFLD on the Health Related QoL Response to Lifestyle in Patients With Metabolic Syndrome, The PREDIMED Plus Cohort

Dipòsit Digital de Documents de la UAB
  • Martínez-Urbistondo, Diego
  • San Cristóbal, RodrigoSan
  • Villares, Paula
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Babio, Nancy|||0000-0003-3527-5277
  • Corella, Dolores|||0000-0002-2366-4104
  • Del Val García, José Luis|||0000-0002-0391-9368
  • Ordovás, José M.
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, J. Luís
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep A.
  • Marcos, Alba
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado-Rodríguez, Miguel
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Ros, Emilio|||0000-0002-2573-1294
  • Bullón Vela, María Vanessa
  • Palau Galindo, Antoni|||0000-0002-2512-0872
  • Masagué, Marta
  • Abete, Itziar|||0000-0002-6475-5387
  • Moreno-Rodríguez, Anai
  • Candela-García, Inma
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • García-Rios, Antonio
  • Juárez, Oscar Lecea
  • Martín, Paco
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Vaquero-Luna, Jessica
  • Orea, María del Carmen Sayón
  • Megías, Isabel
  • Baltasar, Enric
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Daimiel, Lidia|||0000-0001-9898-6629
To evaluate the effect of Non-alcoholic fatty liver disease (NAFLD) status in the impact of lifestyle over Health-related quality of life (HRQoL) in patients with metabolic syndrome (MetS). Baseline and 1 year follow up data from the PREDIMED-plus cohort (men and women, 55-75 years old with overweight/obesity and MetS) were studied. Adherence to an energy-restricted Mediterranean Diet (er-MeDiet) and Physical Activity (PA) were assessed with a validated screeners. Hepatic steatosis index (HSI) was implemented to evaluate NAFLD while the SF-36 questionnaire provided HRQoL evaluation. Statistical analyses were performed to evaluate the influence of baseline NAFLD on HRQoL as affected by lifestyle during 1 year of follow up. Data from 5205 patients with mean age of 65 years and a 48% of female participants. Adjusted linear multivariate mixed regression models showed that patients with lower probability of NAFLD (HSI < 36 points) were more responsive to er-MeDiet (β 0.64 vs β 0.05 per er-MeDiet adherence point, p< 0.01) and PA (β 0.05 vs β 0.01 per MET-h/week, p = 0.001) than those with high probability for NAFLD in terms Physical SF-36 summary in the 1 year follow up. 10 points of er-MeDiet adherence and 50 MET-h/week were thresholds for a beneficial effect of lifestyle on HRQoL physical domain in patients with lower probability of NAFLD. The evaluation of NAFLD by the HSI index in patients with MetS might identify subjects with different prospective sensitivity to lifestyle changes in terms of physical HRQoL ().
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Agencia Estatal de Investigación, Agencia Estatal de Investigación//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, 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, 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, RTI2018-095569-B-I00, PCI2018-093009




Longitudinal association of dietary acid load with kidney function decline in an older adult population with metabolic syndrome

Dipòsit Digital de Documents de la UAB
  • Valle-Hita, Cristina
  • Becerra-Tomás, Nerea|||0000-0002-4429-6507
  • Díaz-López, Andrés|||0000-0002-7500-5629
  • Vázquez-Ruiz, Zenaida|||0000-0002-6828-9627
  • Megías, Isabel
  • Corella, Dolores|||0000-0002-2366-4104
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J..|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep A.
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, José J.|||0000-0003-2996-9301
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Amengual-Galbarte, Angela
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • García-Arellano, Ana
  • Barragán, Rocío|||0000-0001-8072-3791
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Peña-Orihuela, Patricia J.
  • Asencio-Aznar, Alberto
  • Gómez-Gracia, Enrique
  • Martinez-Urbistondo, Diego
  • Morey, Marga
  • Casas, Rosa|||0000-0002-0211-9166
  • Garrido-Garrido, Eva María
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • Damas-Fuentes, Miguel
  • Goñi, Estibaliz
  • Ortega-Azorín, Carolina
  • Castañer, Olga|||0000-0003-3169-997X
  • García-Rios, Antonio
  • Gisbert-Sellés, Cristina
  • Sayón-Orea, Carmen|||0000-0002-4137-3263
  • Schröder, Helmut|||0000-0003-2231-5081
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Babio, Nancy|||0000-0003-3527-5277
Diets high in acid load may contribute to kidney function impairment. This study aimed to investigate the association between dietary acid load and 1-year changes in glomerular filtration rate (eGFR) and urine albumin/creatinine ratio (UACR). Older adults with overweight/obesity and metabolic syndrome (mean age 65 ± 5 years, 48% women) from the PREDIMED-Plus study who had available data on eGFR (n = 5,874) or UACR (n = 3,639) at baseline and after 1 year of follow-up were included in this prospective analysis. Dietary acid load was estimated as potential renal acid load (PRAL) and net endogenous acid production (NEAP) at baseline from a food frequency questionnaire. Linear and logistic regression models were fitted to evaluate the associations between baseline tertiles of dietary acid load and kidney function outcomes. One year-changes in eGFR and UACR were set as the primary outcomes. We secondarily assessed ≥ 10% eGFR decline or ≥10% UACR increase. After multiple adjustments, individuals in the highest tertile of PRAL or NEAP showed higher one-year changes in eGFR (PRAL, β: -0.64 ml/min/1.73 m 2 ; 95% CI: -1.21 to -0.08 and NEAP, β: -0.56 ml/min/1.73 m 2 ; 95% CI: -1.13 to 0.01) compared to those in the lowest category. No associations with changes in UACR were found. Participants with higher levels of PRAL and NEAP had significantly higher odds of developing ≥10% eGFR decline (PRAL, OR: 1.28; 95% CI: 1.07-1.54 and NEAP, OR: 1.24; 95% CI: 1.03-1.50) and ≥10 % UACR increase (PRAL, OR: 1.23; 95% CI: 1.04-1.46) compared to individuals with lower dietary acid load. Higher PRAL and NEAP were associated with worse kidney function after 1 year of follow-up as measured by eGFR and UACR markers in an older Spanish population with overweight/obesity and metabolic syndrome.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//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, 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, 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




Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis

Dipòsit Digital de Documents de la UAB
  • Micó, Victor
  • San-Cristobal, Rodrigo
  • Martín, Roberto
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Corella, Dolores|||0000-0002-2366-4104
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramon
  • Tinahones, Francisco J.|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, J. Luís
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep A.
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado-Rodríguez, Miguel
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • García-Arellano, Ana
  • Pertusa-Martinez, Salvador
  • Chaplin, Alice
  • García-Rios, Antonio
  • Muñoz Bravo, Carlos
  • Schröder, Helmut|||0000-0003-2231-5081
  • Babio, Nancy|||0000-0003-3527-5277
  • Sorli, Jose V.
  • Gonzalez, Jose I.
  • Martinez-Urbistondo, Diego
  • Toledo, Estefania|||0000-0002-6263-4434
  • Bullón, Vanessa
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • Portillo, María Puy
  • Macías-González, Manuel.
  • Perez-Diaz-del-Campo, Nuria
  • García-Gavilán, Jesús.
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Martínez, J Alfredo
Metabolic syndrome (MetS) is one of the most important medical problems around the world. Identification of patient's singular characteristic could help to reduce the clinical impact and facilitate individualized management. This study aimed to categorize MetS patients using phenotypical and clinical variables habitually collected during health check-ups of individuals considered to have high cardiovascular risk. The selected markers to categorize MetS participants included anthropometric variables as well as clinical data, biochemical parameters and prescribed pharmacological treatment. An exploratory factor analysis was carried out with a subsequent hierarchical cluster analysis using the z-scores from factor analysis. The first step identified three different factors. The first was determined by hypercholesterolemia and associated treatments, the second factor exhibited glycemic disorders and accompanying treatments and the third factor was characterized by hepatic enzymes. Subsequently four clusters of patients were identified, where cluster 1 was characterized by glucose disorders and treatments, cluster 2 presented mild MetS, cluster 3 presented exacerbated levels of hepatic enzymes and cluster 4 highlighted cholesterol and its associated treatments Interestingly, the liver status related cluster was characterized by higher protein consumption and cluster 4 with low polyunsaturated fatty acid intake. This research emphasized the potential clinical relevance of hepatic impairments in addition to MetS traditional characterization for precision and personalized management of MetS patients.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//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, 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, 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




Associations Between the Modified Food Standard Agency Nutrient Profiling System Dietary Index and Cardiovascular Risk Factors in an Elderly Population

Dipòsit Digital de Documents de la UAB
  • Khoury, Nadine|||0000-0001-5184-5706
  • Gómez Donoso, Clara|||0000-0003-4753-3560
  • Martínez, María Ángeles
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Corella, Dolores|||0000-0002-2366-4104
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • León-Acuña, Ana
  • Tinahones, Francisco J.|||0000-0001-6871-4403
  • Santos-Lozano, JM.|||0000-0001-7097-5653
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Massó, Paloma|||0000-0002-3519-9254
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado Rodríguez, M.|||0000-0002-3838-2548
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Bes-Rastrollo, Maira|||0000-0002-9139-4206
  • Barragán, Rocío|||0000-0001-8072-3791
  • Castañer, Olga|||0000-0003-3169-997X
  • Torres-Peña, Jose David
  • Notario Barandiaran, Leyre|||0000-0003-0517-6307
  • Muñoz-Bravo, Carlos
  • Abete, Itziar|||0000-0002-6475-5387
  • Prohens, Lara
  • Cano-Ibáñez, Naomi|||0000-0002-3640-5486
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • Fernández García, José Carlos|||0000-0003-2308-2865
  • Sayón-Orea, Carmen|||0000-0002-4137-3263
  • Pascual, Maria
  • Sorlí, José V|||0000-0002-0130-2006
  • Zomeño, María Dolores|||0000-0003-1280-7680
  • Peña-Orihuela, Patricia J.
  • Signes-Pastor, Antonio J.
  • Basterra-Gortari, F. Javier
  • Schröeder, Helmut
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Babio, Nancy|||0000-0003-3527-5277
Background: Helping consumers to improve the nutritional quality of their diet is a key public health action to prevent cardiovascular diseases (CVDs). The modified version of the Food Standard Agency Nutrient Profiling System Dietary Index (FSAm-NPS DI) underpinning the Nutri-Score front-of-pack label has been used in public health strategies to address the deleterious consequences of poor diets. This study aimed to assess the association between the FSAm-NPS DI and some CVD risk factors including body mass index (BMI), waist circumference, plasma glucose levels, triglyceride levels, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and diastolic and systolic blood pressure. Materials and Methods: Dietary intake was assessed at baseline and after 1 year of follow-up using a 143-item validated semi-quantitative food-frequency questionnaire. Dietary indices based on FSAm-NPS applied at an individual level were computed to characterize the diet quality of 5,921 participants aged 55-75 years with overweight/obesity and metabolic syndrome from the PREDIMED-plus cohort. Associations between the FSAm-NPS DI and CVD risk factors were assessed using linear regression models. Results: Compared to participants with a higher nutritional quality of diet (measured by a lower FSAm-NPS DI at baseline or a decrease in FSAm-NPS DI after 1 year), those participants with a lower nutritional quality of diet (higher FSAm-NPS DI or an increase in score) showed a significant increase in the levels of plasma glucose, triglycerides, diastolic blood pressure, BMI, and waist circumference (β coefficient [95% confidence interval]; P for trend) (1.67 [0.43, 2.90]; <0.001; 6.27 [2.46, 10.09]; <0.001; 0.56 [0.08, 1.05]; 0.001; 0.51 [0.41, 0.60]; <0.001; 1.19 [0.89, 1.50]; <0.001, respectively). No significant associations in relation to changes in HDL and LDL-cholesterol nor with systolic blood pressure were shown. Conclusion: This prospective cohort study suggests that the consumption of food items with a higher FSAm-NPS DI is associated with increased levels of several major risk factors for CVD including adiposity, fasting plasma glucose, triglycerides, and diastolic blood pressure. However, results must be cautiously interpreted because no significant prospective associations were identified for critical CVD risk factors, such as HDL and LDL-cholesterol, and systolic blood pressure.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//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, 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, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, 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




Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk

Dipòsit Digital de Documents de la UAB
  • Valle Hita, Cristina|||0000-0001-5423-7466
  • Díaz-López, Andrés|||0000-0002-7500-5629
  • Becerra-Tomás, Nerea|||0000-0002-4429-6507
  • Martínez-González, Miguel Ángel|||0000-0002-3917-9808
  • Ruiz García, Verónica|||0000-0002-7405-2319
  • Corella, Dolores|||0000-0002-2366-4104
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Martínez, J. Alfredo|||0000-0001-5218-6941
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramón|||0000-0003-1260-4445
  • Tinahones, Francisco J.|||0000-0001-6871-4403
  • Lapetra, José|||0000-0002-3873-5737
  • Serra-Majem, Luís|||0000-0002-9658-9061
  • Cano-Ibáñez, Naomi|||0000-0002-3640-5486
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • Rubín García, María|||0000-0003-0916-4215
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado Rodríguez, M.|||0000-0002-3838-2548
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Mas, Sebastian|||0000-0001-6604-3327
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Toledo, Estefania|||0000-0002-6263-4434
  • Sorlí, José V.|||0000-0002-0130-2006
  • Roca, C.
  • Abete, Itziar|||0000-0002-6475-5387
  • Moreno-Rodriguez, Anai
  • Crespo-Oliva, Edelys
  • Candela-García, Inmaculada
  • Morey, Marga
  • García-Rios, Antonio
  • Casas, Rosa|||0000-0002-0211-9166
  • Fernández García, José Carlos|||0000-0003-2308-2865
  • Santos-Lozano, JM.|||0000-0001-7097-5653
  • Diez-Espino, Javier
  • Ortega-Azorín, Carolina
  • Comas, Merce
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Sorto-Sanchez, Carolina
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Babio, Nancy|||0000-0003-3527-5277
To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m) or ≥ 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (β: 1.87 ml/min/1.73m; 95% CI: 1.00-2.73) and had lower odds of ≥ 10% eGFR decline (OR: 0.62; 95% CI: 0.47-0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (β: − 0.87 ml/min/1.73m; 95% CI: − 1.73 to − 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00-1.75). Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. Trial Registration Number: ISRCTN89898870 (Data of registration: 2014).
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III//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, 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, 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




Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population

Dipòsit Digital de Documents de la UAB
  • Baenas Soto, Isabel Maria|||0000-0001-7415-0616
  • Camacho-Barcia, Lucía|||0000-0002-5989-936X
  • Granero, Roser|||0000-0001-6308-3198
  • Razquin, C.
  • Corella, D.
  • Gómez-Martínez, C.
  • Castañer-Niño, O.
  • Martínez, J. A.
  • Alonso-Gómez, Á. M.
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, D.
  • López-Miranda, J.
  • Estruch, R.
  • Tinahones, F. J.
  • Lapetra, J.
  • Serra-Majem, J. L.
  • Cano-Ibáñez, N.
  • Tur, J. A.
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Gaforio, J. J.
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, J.
  • Vázquez, C.
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, E.
  • Jiménez-Murcia, Susana|||0000-0002-3596-8033
  • Dalsgaard, S.
  • Garcia-Arellano, A.
  • Babio, Nancy|||0000-0003-3527-5277
  • Sorli, J. V.
  • Lassale, C.
  • García-de-la-Hera, M.
  • Gómez-García, E.
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Konieczna, J.
  • Martín Peláez, Sandra|||0000-0002-2193-3913
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • Basterra-Gortari, F. J.
  • De las Heras-Delgado, Sara|||0000-0002-3439-5712
  • Portoles, O.
  • Muñoz, Miguel-Angel|||0000-0002-4083-3248
  • Arenas-Larriva, A. P.
  • Compañ Gabucio, Laura M.|||0000-0001-5324-1535
  • Eguaras, Sonia
  • Shyam, S.
  • Fitó, M.
  • Baños, Rosa|||0000-0003-0626-7665
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Fernández-Aranda, Fernando|||0000-0002-2968-9898
To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up. n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control. The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ 2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ 2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ 2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up. This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.
Proyecto: Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Ministerio de Economía y Competitividad, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, European Commission, European Commission. Horizon 2020, European Commission, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III//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, 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, 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, 340918, 847879, 101080219, 2021/SGR-00824, CM21/00172




Psychological and metabolic risk factors in older adults with a previous history of eating disorder, A cross-sectional study from the Predimed-Plus study

Dipòsit Digital de Documents de la UAB
  • Vintró Alcaraz, Cristina|||0000-0001-9453-8810
  • Baenas Soto, Isabel Maria|||0000-0001-7415-0616
  • Lozano Madrid, María|||0000-0003-3833-317X
  • Granero, Roser|||0000-0001-6308-3198
  • Ruiz-Canela, Miguel|||0000-0002-7684-2787
  • Babio, Nancy|||0000-0003-3527-5277
  • Corella, Dolores|||0000-0002-2366-4104
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Martinez, José Alfredo
  • Alonso-Gómez, Ángel María|||0000-0003-2945-7509
  • Wärnberg, Julia|||0000-0002-8408-316X
  • Vioque, Jesús|||0000-0002-2284-148X
  • Romaguera, Dora|||0000-0002-5762-8558
  • López-Miranda, José|||0000-0002-8844-0718
  • Estruch, Ramon
  • Bernal-Lopez, María Rosa|||0000-0002-0238-0890
  • Lapetra, José|||0000-0002-3873-5737
  • Sanchez Villegas, Almudena|||0000-0001-7733-9238
  • Bueno-Cavanillas, Aurora|||0000-0002-0649-3016
  • Tur, Josep Antonio|||0000-0002-6940-0761
  • Martín, Vicente|||0000-0003-0552-2804
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado Rodríguez, M|||0000-0002-3838-2548
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Cárdenas, Jersy J.|||0000-0002-2485-484X
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Razquín, Cristina|||0000-0003-3480-2645
  • Díaz-López, Andrés|||0000-0002-7500-5629
  • González, José I.
  • Forcano Gamazo, Laura|||0000-0002-8478-1451
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Bello-Mora, Maria C.
  • Valenzuela-Guerrero, Silvia|||0000-0001-7467-8672
  • Garcia de La Hera, Manoli|||0000-0001-5742-2704
  • Konieczna, Jadwiga|||0000-0002-2947-1338
  • García-Ríos, Antonio|||0000-0001-7320-9006
  • Casas, Rosa|||0000-0002-0211-9166
  • Gómez-Pérez, Ana M
  • Garcia Arellano, Ana|||0000-0003-1491-9627
  • Bulló, Mònica|||0000-0002-0218-7046
  • Sorlí, José V.|||0000-0002-0130-2006
  • Cuenca-Royo, Aida|||0000-0001-8551-5457
  • Abete, Itziar|||0000-0002-6475-5387
  • Salaverria-Lete, Itziar|||0000-0002-9504-4668
  • Basterra Gortari, Francisco Javier|||0000-0002-1506-2349
  • De La Torre, Rafael|||0000-0002-6765-1866
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
  • Fernández-Aranda, Fernando|||0000-0002-2968-9898
Goals: To explore affective and cognitive status, later in life, in individuals with and without previous history of eating disorder (ED), and also its association with higher risk for metabolic syndrome (MetS) symptomatology. Methods: A cross-sectional analysis of 6756 adults, aged 55-75 years with overweight/obesity and MetS participating in the Predimed-Plus study was conducted. Participants completed self-reported questionnaires to examine lifetime history of ED, according to DSM-5 criteria, and other psychopathological and neurocognitive factors. Anthropometric and metabolic measurements were also collected. Results: Of the whole sample, 24 individuals (0.35%) reported a previous history of ED. In this subsample, there were more women and singles compared to their counterparts, but they also presented higher levels of depressive symptoms and higher cognitive impairment, but also higher body mass index (BMI) and severe obesity, than those without lifetime ED. Conclusions: This is one of the first studies to analyse the cognitive and metabolic impact of a previous history of ED. The results showed that previous ED was associated with greater affective and cognitive impairment, but also with higher BMI, later in life. No other MetS risk factors were found, after controlling for relevant variables.
Proyecto: Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Ministerio de Educación, Cultura y Deporte, Ministerio de Educación, Cultura y Deporte//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, 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, 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, PI17/01167, FPU16/01453, FPU15/02911