The relationship between the cognitive scales related to Parkinson's disease and the spatio-temporal parameters of gait and obstacle crossing
Poster Presentation
Paper ID : 1623-SSRC
Authors
1Department of Sports Biomechanics, Faculty of Sports Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2Department of Sport Biomechanics, Hamedan Branch, Islamic Azad University, Hamedan, Iran
3Department of Motor Behavior, Hamedan Branch, Islamic Azad University, Hamedan, Iran
4Department of sport biomechanics, central tehran branch, islamic azad university, tehran, iran
Abstract
Abstract
Background and aim: More than half of all falls in people with Parkinson's disease occur while walking. About 70% of people with Parkinson's who fall while walking fall repeatedly. The consequences of these falls are a decrease in the level of activity, a decrease in the quality of life and an increase in the pressure of care. The aim of the present study was to investigate the relationship between cognitive scales related to Parkinson's disease and spatio-temporal features of gait and crossing obstacles.
Methods: 15 people with Parkinson's with height (1.64 ± 0.10 m), weight (67.60 ± 10.56 kg) and age (61.60 ± 6.23 years) participated in this research. In laboratory conditions, the participants walked along a 12-meter track with obstacles. The spatio-temporal variables of gait were recorded using the Vicon motion analysis system. Correlation between cognitive scales related to Parkinson's disease including (MMSE), (PDQL) and time-spatial variables of stepping and crossing stairs using Pearson's correlation coefficient in SPSS-25 software and significance level p<0.05 was analyzed.
Results: The results showed that there is a direct and significant relationship between stride length and two cognitive scales in normal gait conditions. gait speed had a significant and direct relationship with PDQL. In gait crossing the obstacle, step length and stride have a significant relationship with the MMSE scale and the variables of step and stride time, step and stride length and, swing time, single support time, cadence and speed in both legs with the PDQL scale. (p<0.05).
Conclusions: According to the results, by using the PDQL scale, it is possible to predict about 27% to 37% of the gait of people with Parkinson's disease. This relationship was higher when people crossed the obstacle, which shows that crossing the obstacle requires more cognitive engagement and thus has a greater relationship with cognitive scales, especially PDQL. According to these results, the PDQL questionnaire may be more valid in motor evaluations.
Background and aim: More than half of all falls in people with Parkinson's disease occur while walking. About 70% of people with Parkinson's who fall while walking fall repeatedly. The consequences of these falls are a decrease in the level of activity, a decrease in the quality of life and an increase in the pressure of care. The aim of the present study was to investigate the relationship between cognitive scales related to Parkinson's disease and spatio-temporal features of gait and crossing obstacles.
Methods: 15 people with Parkinson's with height (1.64 ± 0.10 m), weight (67.60 ± 10.56 kg) and age (61.60 ± 6.23 years) participated in this research. In laboratory conditions, the participants walked along a 12-meter track with obstacles. The spatio-temporal variables of gait were recorded using the Vicon motion analysis system. Correlation between cognitive scales related to Parkinson's disease including (MMSE), (PDQL) and time-spatial variables of stepping and crossing stairs using Pearson's correlation coefficient in SPSS-25 software and significance level p<0.05 was analyzed.
Results: The results showed that there is a direct and significant relationship between stride length and two cognitive scales in normal gait conditions. gait speed had a significant and direct relationship with PDQL. In gait crossing the obstacle, step length and stride have a significant relationship with the MMSE scale and the variables of step and stride time, step and stride length and, swing time, single support time, cadence and speed in both legs with the PDQL scale. (p<0.05).
Conclusions: According to the results, by using the PDQL scale, it is possible to predict about 27% to 37% of the gait of people with Parkinson's disease. This relationship was higher when people crossed the obstacle, which shows that crossing the obstacle requires more cognitive engagement and thus has a greater relationship with cognitive scales, especially PDQL. According to these results, the PDQL questionnaire may be more valid in motor evaluations.
Keywords