Complex network models reveal correlations among network metrics, exercise intensity and role of body changes in the fatigue process

• Grant number: 15/07631-1
• Support Opportunities: Regular Research Grants - Publications - Scientific article
• Start date: July 01, 2015
• End date: October 31, 2015
• Field of knowledge: Health Sciences - Physical Education
• Principal Investigator: Claudio Alexandre Gobatto
• Grantee: Claudio Alexandre Gobatto
• Host Institution: Faculdade de Ciências Aplicadas (FCA). Universidade Estadual de Campinas (UNICAMP). Limeira , SP, Brazil

Abstract

The aims of the present study were analyze the fatigue process at distinct intensity efforts and to investigate its occurrence as interactions at distinct body changes during exercise, using complex network models. For this, participants were submitted to four different running intensities until exhaustion, accomplished in a non-motorized treadmill using a tethered system. The intensities were selected according to critical power model. Mechanical (force, peak power, mean power, velocity and work) and physiological related parameters (heart rate, blood lactate, time to reach peak lactate (lactate time), lean mass, IPAQ score, anaerobic and aerobic capacities) were obtained during exercises and it was used to construction of four complex network models. Such models have both, theoretical and mathematical value, and enables us to perceive new insights that go beyond conventional analysis. From these, we ranked the influences of each node at the fatigue process. Our results shows that nodes, links and network metrics are sensibility according to increase of efforts intensities, been the velocity a key factor to exercise maintenance at models/intensities 1 and 2 and force and power at models 3 and 4, highlighting diferent mechanical variables in the exhaustion occurrence and even training prescription applications (AU)