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Repisalud author Galmes-Panades, Aina M author Varela-Mato, Veronica author Konieczna, Jadwiga author Wärnberg, Julia author Martínez-González, Miguel Ángel author Salas-Salvadó, Jordi author Corella, Dolores author Schröder, Helmut author Vioque, Jesús author Alonso-Gómez, Ángel M author Martínez, J Alfredo author Serra-Majem, Luís author Estruch, Ramon author Tinahones, Francisco J author Lapetra, José author Pintó, Xavier author Tur, Josep A author Garcia-Rios, Antonio author Riquelme-Gallego, Blanca author Gaforio, José Juan author Matía-Martín, Pilar author Daimiel, Lidia author Micó Pérez, Rafael Manuel author Vidal, Josep author Vázquez, Clotilde author Ros, Emilio author Garcia-Arellano, Ana author Díaz-López, Andrés author Asensio, Eva M author Castañer, Olga author Fiol, Francisca author Mira-Castejón, Luis Alfredo author Moreno Rodríguez, Anai author Benavente-Marín, Juan Carlos author Abete, Itziar author Tomaino, Laura author Casas, Rosa author Barón López, F Javier author Fernández-García, José Carlos author Santos-Lozano, José Manuel author Galera, Ana author Mascaró, Catalina M author Razquin, Cristina author Papandreou, Christopher author Portoles, Olga author Pérez-Vega, Karla Alejandra author Fiol, Miguel author Compañ-Gabucio, Laura author Vaquero-Luna, Jessica author Ruiz-Canela, Miguel author Becerra-Tomás, Nerea author Fitó, Montserrat author Romaguera, Dora 2024-02-10T20:02:43Z 2024-02-10T20:02:43Z 2019-12-23 10.1186/s12966-019-0892-4 1479-5868 The international journal of behavioral nutrition and physical activity http://hdl.handle.net/10668/14872http://hdl.handle.net/20.500.13003/12565 31870449 L630286001 2-s2.0-85077208493 http://hdl.handle.net/20.500.12105/17945 511416400002 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/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. eng Cardiometabolic risk Inactive time Isotemporal substitution Light physical activity Moderate to vigorous physical activity Time in bed Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study research article