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

Aina M. Galmes-Panades, Veronica Varela-Mato, Jadwiga Konieczna, Julia Wärnberg, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Dolores Corella, Helmut Schröder, Jesús Vioque, Ángel M. Alonso-Gómez, J. Alfredo Martínez, Luís Serra-Majem, Ramon Estruch, Francisco J. Tinahones, José Lapetra, Xavier Pintó, Josep A. Tur, Antonio Garcia-Rios, Blanca Riquelme-Gallego, José Juan Gaforio, Pilar Matía-Martín, Lidia Daimiel, Rafael Manuel Micó Pérez, Josep Vidal, Clotilde Vázquez, Emilio Ros, Ana Garcia-Arellano, Andrés Díaz-López, Eva M. Asensio, Olga Castañer, Francisca Fiol, Luis Alfredo Mira-Castejón, Anai Moreno Rodríguez, Juan Carlos Benavente- Marín, Itziar Abete, Laura Tomaino, Rosa Casas, F. Javier Barón López, José Carlos Fernández-García, José Manuel Santos-Lozano, Ana Galera, Catalina M. Mascaró, Cristina Razquin, Christopher Papandreou, Olga Portoles, Karla Alejandra Pérez-Vega, Miguel Fiol, Laura Compañ-Gabucio, Jessica Vaquero-Luna, Miguel Ruiz-Canela, Nerea Becerra-Tomás, Montserrat Fitó, Dora Romaguera

© 2019 The Author(s). 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. Trial registration: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.