Micó-Pérez, R.M. (Rafael Manuel)

Filtering

2019 - 20204

Settings

Author search.filters.isAuthorOfPublication.63b6a14b-8abb-45c7-8106-18c73decc2b8

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMEDPlus study
    (Springer Science and Business Media LLC, 2019) Fernandez-Garcia, J.C. (José C.); Castañer, O. (Olga); Portoles, O. (Olga); Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Micó-Pérez, R.M. (Rafael Manuel); Fiol, M. (Miquel); Riquelme-Gallego, B. (Blanca); Garcia-Rios, A. (Antonio); Fito, M. (Montserrat); Fiol, F. (Francisca); Konieczna, J. (Jadwiga); Daimiel, L. (Lidia); Tinahones, F.J. (Francisco J.); Compañ-Gabucio, L. (Laura); Vaquero-Luna, J. (Jessica); Vioque, J. (Jesús); Barón-López, F.J. (F. Javier); Becerra-Tomas, N. (Nerea); Tur, J.A. (Josep A.); Varela-Mato, V. (Veronica); Benavente-Marín, J.C. (Juan Carlos); Romaguera, D. (Dora); Vázquez, C. (Clotilde); Lapetra, J. (José); Matía-Martín, P. (Pilar); Papandreou, C. (Christopher); Schröder, H. (Helmut); Galmes-Panades, A.M. (Aina M.); Razquin, C. (Cristina); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Mira-Castejón, L.A. (Luis Alfredo); Perez-Vega, K.A. (Karla Alejandra); Tomaino, L. (Laura); Casas, R. (Rosa); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Diaz-Lopez, A. (Andres); Asensio, E.M. (Eva M.); Gaforio, J.J. (José Juan); Santos-Lozano, J.M. (José M.); Serra-Majem, L. (Luis); Corella, D. (Dolores); Abete, I. (Itziar); Mascaró, C.M. (Catalina M.); Vidal, J. (Josep); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi); Galera, A. (Ana); Garcia-Arellano, A. (Ana); Moreno-Rodríguez, A. (Anai)
    Background: 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. Methods: This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m2) from the PREDIMED-Plus study (http://www.predimedplus.com/). 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. Results: 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). Conclusions: 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.
  • Thumbnail Image
    Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial
    (2020) Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Micó-Pérez, R.M. (Rafael Manuel); Gimenez-Alba, I.M. (Ignacio Manuel); Daimiel, L. (Lidia); Tinahones, F.J. (Francisco J.); Vioque, J. (Jesús); Becerra-Tomas, N. (Nerea); Romaguera, D. (Dora); Lapetra, J. (José); Bouzas, C. (Cristina); Bueno-Cavanillas, A. (Aurora); Schröder, H. (Helmut); Delgado-Rodriguez, M. (Miguel); López-Miranda, J. (José); Ros, E. (Emilio); Bibiloni, M.M. (Maria del Mar); Ortíz-Ramos, M. (María); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Altés-Boronat, A. (Andreu); Luca, B.L. (Bogdana L.); Serra-Majem, L. (Luis); Corella, D. (Dolores); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi); Sayon-Orea, C. (Carmen); Garcia, S. (Silvia); Mateos, D. (David)
    One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible to improve significantly their dietary quality, assessed by adherence to Mediterranean diet, DII and both healthful and unhealthful provegetarian patterns. People at maximum weight are the most benefitted in the short term by a weight management program. Long term weight loss efforts may also reduce the effect of a weight management program.
  • Thumbnail Image
    Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study
    (2020) Fernandez-Garcia, J.C. (José C.); Martinez, J.A. (José Alfredo); Micó-Pérez, R.M. (Rafael Manuel); Garcia-Rios, A. (Antonio); Gallardo-Alfaro, L. (Laura); Fito, M. (Montserrat); Daimiel, L. (Lidia); Vioque, J. (Jesús); Becerra-Tomas, N. (Nerea); Tur, J.A. (Josep A.); Romaguera, D. (Dora); Vázquez, C. (Clotilde); Lapetra, J. (José); Matía-Martín, P. (Pilar); Bueno-Cavanillas, A. (Aurora); Ros, E. (Emilio); Ruiz-Canela, M. (Miguel); Fernández-Lázaro, C.I. (César I.); Bibiloni, M.M. (Maria del Mar); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Gaforio, J.J. (José Juan); Montemayor, S. (Sofía); Serra-Majem, L. (Luis); Corella, D. (Dolores); Mascaró, C.M. (Catalina M.); Vidal, J. (Josep); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi)
    Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.
  • Thumbnail Image
    Physical fitness and physical activity association with cognitive function and quality of life: baseline cross-sectional analysis of the PREDIMED-Plus trial
    (Springer Nature, 2020) Buil, P. (Pilar); Colmenarejo, G. (Gonzalo); Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Micó-Pérez, R.M. (Rafael Manuel); Galilea-Zabalza, I. (Iñigo); Garcia-Rios, A. (Antonio); Daimiel, L. (Lidia); Tinahones, F.J. (Francisco J.); Vioque, J. (Jesús); Torre, R. (Rafael) de la; Zulet, M.A. (María Ángeles); Tur, J.A. (Josep A.); Romaguera, D. (Dora); Lapetra, J. (José); Paz-Graniel, I. (Indira); Schröder, H. (Helmut); López-Miranda, J. (José); Galdon, A. (Alba); Galmes-Panades, A.M. (Aina M.); Matia, P. (Pilar); Ros, E. (Emilio); Ordovas, J.M. (Jose Manuel); Micó, V. (Victor); Alonso-Gomez, A. (Ángel); Wärnberg, J. (Julia); Estruch, R. (Ramón); Vazquez-Ruiz, Z. (Zenaida); Diaz-Lopez, A. (Andres); Gaforio, J.J. (José Juan); Serra-Majem, L. (Luis); Corella, D. (Dolores); Vidal, J. (Josep); Pinto, X. (Xavier); Salas-Salvado, J. (Jordi); Cano-Ibañez, N. (Naomi); Sorli, J.V. (Jose V.); Cuenca-Royo, A. (Aida); Gisbert-Sellés, C. (Cristina)
    Physical activity (PA) has been hypothesized to be effective to maintaining cognitive function and delay cognitive decline in the elderly, but physical fitness (PF) could be a better predictor of cognitive function. We aimed to study the association between PA and PF with cognitive function and quality of life using cross-sectional data from 6874 participants of the PREDIMED-Plus trial (64.9 ± 4.9 years, 48.5% female). PF and PA were measured with a Chair Stand Test, the REGICOR and Rapid Assessment Physical Activity questionnaires. Cognitive function was measured with Mini-mental State Examination, Control Oral Word Association Test, Trail Making Test and Digit Span tests; whereas health-related quality of life was assessed with the SF36-HRQL test. Cognitive and quality of life scores were compared among PF quartiles and PA levels (low, moderate and high) with ANCOVA and with Chair Stand repetitions and energy expenditure from total PA with multivariable linear regression adjusted for confounding factors. PF associated with higher scores in phonemic and semantic verbal fluency tests and with lower TMT A time. However, PA was not associated with the neurocognitive parameters evaluated. Both PF and PA levels were strongly associated with a better quality of life. We concluded that PF, but not PA, is associated with a better cognitive function. This trial was retrospectively registered at the International Standard Randomized Controlled Trial (ISRCTN89898870, https://www.isrctn.com/ISRCTN89898870?q=ISRCTN89898870&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10&searchType=basic-search) on 07/24/2014.