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Analysis of the behavior of functional balance and EMG activity in elderly women with osteoporosis under training with balance shaft vibration

Grant number: 10/18454-0
Support type:Regular Research Grants
Duration: March 01, 2011 - February 28, 2013
Field of knowledge:Health Sciences - Physiotherapy and Occupational Therapy
Principal Investigator:Marcelo Tavella Navega
Grantee:Marcelo Tavella Navega
Home Institution: Faculdade de Filosofia e Ciências (FFC). Universidade Estadual Paulista (UNESP). Campus de Marília. Marília , SP, Brazil
Assoc. researchers:Cristiane Rodrigues Pedroni

Abstract

In patients with low bone mass, a minor trauma can cause fracture. A femur fracture is the most dramatic consequence of osteoporosis in the elderly and is associated with increased mortality and morbidity. The regular practice of physical exercises for women with osteoporosis has been considered an important preventive factor for falls, as it is possible to treat some diseases and recover senile. Several studies have reported improvement in physical skills of balance, strength, endurance, flexibility and even increases in bone mineral density in elderly women engaged in physical exercises. However, there is no literature studies that analyzed the effects of balance training with vibrating rod biomechanical variables of women with osteoporosis during balance tests. Therefore, the purpose of this study is to analyze the behavior of functional balance and fall risk in elderly women with osteoporosis undergo training with balance shaft vibration. Will be formed two groups, the group will hold a workout with vibrating rod, and Group 2 will carry the same training without vibrating rod. The training will be held for eight weeks. Before and after training, all volunteers will be assessed by scales of balance and electromyographic activity. Electromyography will be held in balance evaluations. The electrodes are positioned in the rectus femoris (RF), vastus lateralis (VL), biceps femoris (BF), tibialis anterior (TA), lateral gastrocnemius (GL) and gluteus maximus (GM), multifídio (Mu) and iliocostalis Lumbar ( IL). For data analysis will be used SPSS software, with significance of p <0.05. (AU)