Galmes Panades, Aina M.Varela Mato, VerónicaKonieczna, JadwigaWärnberg, JuliaMartínez-González, Miguel Ángel, 1957-Salas Salvadó, JordiCorella Piquer, DoloresSchröder, Helmut, 1958-Vioque, JesúsAlonso Gómez, Ángel M.Martínez, J. Alfredo, 1957-Serra Majem, LluísEstruch Riba, RamonTinahones, Francisco J.Lapetra, JoséPintó Sala, XavierTur, Josep A.García Ríos, AntonioRiquelme Gallego, BlancaGaforio, José J.Matía Martín, PilarDaimiel, LidiaMicó Pérez, Rafael ManuelVidal i Cortada, JosepVázquez, ClotildeRos Rahola, EmilioGarcia-Arellano, AnaDíaz López, AndrésAsensio, Eva M.Castañer, OlgaFiol, FranciscaMira Castejón, Luis AlfredoRodríguez, Anai MorenoBenavente Marín, Juan CarlosAbete, ItziarTomaino, LauraCasas Rodríguez, Rosa M.Barón López, Francisco JavierFernández García, José C.Santos Lozano, José ManuelGalera, AnaMascaró, Catalina M.Razquin, CristinaPapandreou, ChristopherPortoles, OlgaPérez Vega, Karla AlejandraFiol Sala, MiguelCompañ Gabucio, LauraVaquero Luna, JessicaRuiz Canela, MiguelBecerra Tomás, NereaFitó Colomer, MontserratRomaguera, Dora2021-02-092021-02-092019-12-23https://hdl.handle.net/2445/173749Background: 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/m(2)) 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 30min 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.12 p.application/pdfengcc by (c) Galmes Panades et al., 2019http://creativecommons.org/licenses/by/3.0/es/Condició físicaDescansMalalties cardiovascularsPhysical fitnessRestCardiovascular diseasesinfo:eu-repo/semantics/article2021-02-08info:eu-repo/semantics/openAccess31870449