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Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content

Introduction/Purpose: Physical activity and sedentary time may associate with physical fitness and body composition. Yet, there exists some observational studies that have investigated the associations of device-based measures of sedentary time and physical activity (PA) with cardiorespiratory fitne...

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Autores principales: Vaara, Jani P., Vasankari, Tommi, Wyss, Thomas, Pihlainen, Kai, Ojanen, Tommi, Raitanen, Jani, Vähä-Ypyä, Henri, Kyröläinen, Heikki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750877/
https://www.ncbi.nlm.nih.gov/pubmed/33367277
http://dx.doi.org/10.3389/fspor.2020.587789
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author Vaara, Jani P.
Vasankari, Tommi
Wyss, Thomas
Pihlainen, Kai
Ojanen, Tommi
Raitanen, Jani
Vähä-Ypyä, Henri
Kyröläinen, Heikki
author_facet Vaara, Jani P.
Vasankari, Tommi
Wyss, Thomas
Pihlainen, Kai
Ojanen, Tommi
Raitanen, Jani
Vähä-Ypyä, Henri
Kyröläinen, Heikki
author_sort Vaara, Jani P.
collection PubMed
description Introduction/Purpose: Physical activity and sedentary time may associate with physical fitness and body composition. Yet, there exists some observational studies that have investigated the associations of device-based measures of sedentary time and physical activity (PA) with cardiorespiratory fitness (CRF) and body composition but associations with muscular fitness (MF) are less studied. Methods: Objective sedentary time and physical activity was measured by a hip worn accelerometer from 415 young adult men (age: mean 26, standard deviation 7 years). Cardiorespiratory fitness (VO(2)max) (CRF) was determined using a graded cycle ergometer test until exhaustion. Maximal force of lower extremities was measured isometrically and lower body power was assessed using standing long jump (MF). Body composition was determined with bioimpedance method. Single and compositional approach was used in regression analysis. Results: Mean sedentary time was 707 (standard deviation 133) minutes per day (77 ± 8% of the wear time). Volumes of all PA intensities were positively associated with CRF and associations showed linearly increasing magnitudes with higher intensities in single regression models adjusted for age and smoking (p < 0.001). Similarly, PA intensities were positively associated with lower body MF, however, with weaker associations (p < 0.005). After further adjustment for resistance training, the associations remained significant. The associations of the relative distribution of time within sedentary behavior (SB), light intensity PA (LPA) and moderate-to-vigorous PA (MVPA) behaviors as a whole with using compositional analysis further revealed that within the composition MVPA and SB were positively associated with CRF and MF (p < 0.001), while LPA was not. In addition, within the composition, accumulated PA bouts lasting more than 3 min were consistently associated with CRF and MF, and with all body composition variables (p < 0.001), while sedentary time was associated with body fat percentage (p < 0.001). Conclusion: Promoting physical activity and reducing sedentary time may have positive influence on physical fitness and body fat content, and thereby may offer positive health effects. Physical activity of higher intensities may offer greater benefits.
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spelling pubmed-77508772020-12-22 Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content Vaara, Jani P. Vasankari, Tommi Wyss, Thomas Pihlainen, Kai Ojanen, Tommi Raitanen, Jani Vähä-Ypyä, Henri Kyröläinen, Heikki Front Sports Act Living Sports and Active Living Introduction/Purpose: Physical activity and sedentary time may associate with physical fitness and body composition. Yet, there exists some observational studies that have investigated the associations of device-based measures of sedentary time and physical activity (PA) with cardiorespiratory fitness (CRF) and body composition but associations with muscular fitness (MF) are less studied. Methods: Objective sedentary time and physical activity was measured by a hip worn accelerometer from 415 young adult men (age: mean 26, standard deviation 7 years). Cardiorespiratory fitness (VO(2)max) (CRF) was determined using a graded cycle ergometer test until exhaustion. Maximal force of lower extremities was measured isometrically and lower body power was assessed using standing long jump (MF). Body composition was determined with bioimpedance method. Single and compositional approach was used in regression analysis. Results: Mean sedentary time was 707 (standard deviation 133) minutes per day (77 ± 8% of the wear time). Volumes of all PA intensities were positively associated with CRF and associations showed linearly increasing magnitudes with higher intensities in single regression models adjusted for age and smoking (p < 0.001). Similarly, PA intensities were positively associated with lower body MF, however, with weaker associations (p < 0.005). After further adjustment for resistance training, the associations remained significant. The associations of the relative distribution of time within sedentary behavior (SB), light intensity PA (LPA) and moderate-to-vigorous PA (MVPA) behaviors as a whole with using compositional analysis further revealed that within the composition MVPA and SB were positively associated with CRF and MF (p < 0.001), while LPA was not. In addition, within the composition, accumulated PA bouts lasting more than 3 min were consistently associated with CRF and MF, and with all body composition variables (p < 0.001), while sedentary time was associated with body fat percentage (p < 0.001). Conclusion: Promoting physical activity and reducing sedentary time may have positive influence on physical fitness and body fat content, and thereby may offer positive health effects. Physical activity of higher intensities may offer greater benefits. Frontiers Media S.A. 2020-12-18 /pmc/articles/PMC7750877/ /pubmed/33367277 http://dx.doi.org/10.3389/fspor.2020.587789 Text en Copyright © 2020 Vaara, Vasankari, Wyss, Pihlainen, Ojanen, Raitanen, Vähä-Ypyä and Kyröläinen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Sports and Active Living
Vaara, Jani P.
Vasankari, Tommi
Wyss, Thomas
Pihlainen, Kai
Ojanen, Tommi
Raitanen, Jani
Vähä-Ypyä, Henri
Kyröläinen, Heikki
Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title_full Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title_fullStr Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title_full_unstemmed Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title_short Device-Based Measures of Sedentary Time and Physical Activity Are Associated With Physical Fitness and Body Fat Content
title_sort device-based measures of sedentary time and physical activity are associated with physical fitness and body fat content
topic Sports and Active Living
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750877/
https://www.ncbi.nlm.nih.gov/pubmed/33367277
http://dx.doi.org/10.3389/fspor.2020.587789
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