AI Article Synopsis
- The study aimed to analyze normal walking patterns in older adults by gender, using a three-dimensional motion analysis system.
- Results showed that after standardizing the data with dimensionless numbers, previously significant differences in step and stride lengths between genders vanished, while some previously similar metrics became significantly different.
- The analysis also revealed that the dimensionless conversion affected the statistical test results, as evidenced by changes in the coefficient of variation reflecting data variability.
Article Abstract
The purpose of this study was to comparatively analyze normal gait on the plains by gender for old people reference data for the normal gait pattern for the old people. Participants were selected according to the Korean standard body type provided by the Ministry of Health and Welfare and used a three-dimensional motion analysis system. Cortex, Orthotrak, and Excel were used as the software for analyzing the extracted data, and IBM SPSS Statistics ver. 24.0 was used for statistical analysis. When data standardization was performed using the dimensionless numbers conversion, the step length and stride length of the lower extremities, which had differences between genders before dimensionless numbers conversion, showed no difference after dimensionless numbers conversion. Cadence, step time, and single support time of the left lower extremity, which had no difference between genders before dimensionless numbers conversion, were found to have significant differences after dimensionless numbers conversion. In addition, as a result of analyzing the coefficient of variation value to find out the degree of change in data due to dimensionless numbers conversion, there were increase and decrease in the coefficient of variation value ranging from -8.11% to 6.67% before and after dimensionless numbers conversion, which means dimensionless numbers conversion can affect the statistical test.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463071 | PMC |
| http://dx.doi.org/10.12965/jer.2040208.214 | DOI Listing |
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