PREDIMED+DM: EFECTO DE UNA PERDIDA DE PESO CON DIETA MEDITERRANEA HIPOCALORICA Y PROMOCION DE LA ACTIVIDAD FISICA EN LA PREVENCION DE DIABETES TIPO 2 EN PERSONAS CON SINDROME METABOLICO.

PI17/00215

Nombre agencia financiadora Instituto de Salud Carlos III
Acrónimo agencia financiadora ISCIII
Programa Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia
Subprograma Subprograma Estatal de Generación de Conocimiento
Convocatoria Proyectos de investigación en salud
Año convocatoria 2017
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)
Centro beneficiario INSTITUTO DE INVESTIGACIONES BIOMEDICAS AUGUST PI I SUNYER (IDIBAPS)
Centro realización INSTITUTO DE INVESTIGACIONES BIOMEDICAS AUGUST PI I SUNYER (IDIBAPS)
Identificador persistente https://doi.org/10.13039/501100004587

Publicaciones

Resultados totales (Incluyendo duplicados): 15
Encontrada(s) 2 página(s)

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
  • 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
  • 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 Carlos
  • 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
  • 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




Consumption of caffeinated beverages and kidney function decline in an elderly Mediterranean population with metabolic syndrome

Dipòsit Digital de Documents de la UAB
  • Díaz-López, Andrés
  • Paz-Graniel, Indira
  • Ruiz, Verónica
  • Toledo, Estefanía
  • Becerra-Tomás, Nerea|||0000-0002-4429-6507
  • Corella, Dolores|||0000-0002-2366-4104
  • Castañer, Olga|||0000-0003-3169-997X
  • 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.
  • Sánchez, Vicente Martín
  • Pintó, Xavier|||0000-0002-2216-2444
  • Delgado-Rodríguez, Miguel
  • Matía-Martín, Pilar|||0000-0001-9844-3755
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Villa, Tania Fernandez
  • Ros, Emilio|||0000-0002-2573-1294
  • Eguaras, Sonia
  • Babio, Nancy|||0000-0003-3527-5277
  • Sorlí, José V.|||0000-0002-0130-2006
  • Goday Arnó, Albert|||0000-0001-7356-1595
  • Abete, Itziar|||0000-0002-6475-5387
  • Tojal-Sierra, Lucas|||0000-0001-5338-9601
  • Barón López, Francisco Javier|||0000-0001-8707-304X
  • Torres-Collado, Laura
  • Morey, Marga
  • García-Rios, Antonio
  • Casas, Rosa|||0000-0002-0211-9166
  • Bernal-Lopez, María Rosa|||0000-0002-0238-0890
  • Santos-Lozano, José Manuel
  • Navarro, Adela
  • Gonzalez, Jose I.
  • Zomeño, María Dolores|||0000-0003-1280-7680
  • Zulet, M. Angeles|||0000-0002-3926-0892
  • Luna, Jessica Vaquero
  • Ramallal, Raul
  • Fitó, Montserrat|||0000-0002-1817-483X
  • Salas-Salvadó, Jordi|||0000-0003-2700-7459
It remains unclear whether caffeinated beverages could have deleterious renal effects in elderly population with underlying comorbid conditions. We investigated the associations between coffee, tea, or caffeine intake and 1-year changes in glomerular filtration rate (eGFR) in a large Spanish cohort of overweight/obese elderly with metabolic syndrome (MetS). This prospective analysis includes 5851 overweight/obese adults (55-75 years) with MetS from the PREDIMED-Plus study. We assessed coffee, tea, and caffeine consumption from a validated food-frequency questionnaire and creatinine-based eGFR using the Chronic Kidney Disease Epidemiology Collaboration equation. Multivariate-adjusted regression models were applied to test associations between baseline coffee, tea, or caffeine intake and 1-year eGFR changes. Caffeinated coffee (> 2 cups/day) and tea (at least 1 cup/day) drinkers had 0.88 and 0.93 mL/min/1.73 m 2 greater eGFR decrease respectively, compared to those with less than 1 cup/day of coffee consumption or non-tea drinkers. Furthermore, caffeinated coffee consumption of > 2 cups/day was associated with 1.19-fold increased risk of rapid eGFR decline > 3 mL/min/1.73 m 2 (95% CI 1.01-1.41). Similarly, individuals in the highest (median, 51.2 mg/day) tertile of caffeine intake had a 0.87 mL/min/1.73 m 2 greater eGFR decrease. Decaffeinated coffee was not associated with eGFR changes. In conclusion, higher consumption of caffeinated coffee, tea, and caffeine was associated with a greater 1-year eGFR decline in overweight/obese adults with MetS.
Proyecto: Ministerio de Educación, Política Social y Deporte, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto de Salud Carlos III, Instituto 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, "la Caixa" Foundation//FPU17/01925, 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, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, 340918, 2013ACUP00194




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
  • 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
  • Martin, Vicente
  • 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
  • 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
  • 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, Pilar
  • 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, Jose C.
  • 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-Sánchez, Vicente
  • 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
  • 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, Pilar
  • Vidal, Josep|||0000-0002-4564-4518
  • Vázquez, Clotilde
  • Daimiel, Lidia|||0000-0001-9898-6629
  • Ros, Emilio|||0000-0002-2573-1294
  • Sayón-Orea, Carmen
  • 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
  • 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
  • Ciurana, Ramon
  • Martín-Sánchez, Vicente
  • 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