The effect of foot orthotics on biomechanics of lower limbs, pelvis and trunk duri...
| Grant number: | 15/15391-0 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | October 01, 2015 |
| Effective date (End): | September 30, 2016 |
| Field of knowledge: | Health Sciences - Physiotherapy and Occupational Therapy |
| Principal Investigator: | Fábio Viadanna Serrão |
| Grantee: | Débora Faria Wolf |
| Home Institution: | Centro de Ciências Biológicas e da Saúde (CCBS). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil |
Abstract The dynamic knee valgus is a common gesture related to injury and it is generally present in weight-bearing activities. In these activities women carry a greater valgus knee when compared to men. The weakness of the hip muscles that provide dimensional stability to this joint would allow higher adduction and internal rotation of the hip with consequent increased dynamic knee valgus. However, despite the existence of this relationship, it is possible that other factors can contribute to poor alignment of the lower limb in dynamic activities with body weight support, such as the change in hip arthrokinematics. The objective of this study is to evaluate the effects of a mobilization with movement technique on hip on the lower limb kinematics during the single leg squat, in healthy women. This will be a randomized clinical trial in which will participate 20 healthy women aged 18 to 35, divided into two groups: intervention (n = 10) and control (n = 10). The intervention group will receive a mobilization with movement in the hip during squats through traction on the joint and the control group will perform the same gesture without applying traction on the joint. The lower limb kinematics during the single leg squat will be assessed before and after interventions by the Qualisys system. To check the effect of the intervention on the dependent variables will apply to ANOVA 3 factors (group X intervention X knee flexion angle) mixed (mixed-model design) for each dependent variable. (AU) | |