Statistical analysis
SD
All statistical analyses were performed with Stata 15 (StataCorpLP, College Station, TX, USA), Python version 3.10.8 (Python Software Foundation, Delaware, United States), or Microsoft Excel Office 365 (Microsoft Corporation, Washington, United States). Two-sided p-values of less than 0.05 were considered statistically significant for all tests and were defined as *p < 0.05, **p < 0.01, ***p < 0.001.Table Descriptive statistics of participants’ baseline characteristics, socio-demographics, anthropometrics, vitals, functional measurements, and cognitive performance in the experimental group (EG) and control group (CG).Continuous variables are reported as mean ± SD, while categorical variables are reported with number and percentage of the total, n (%).Figure Plot of Day 1 vs. Day 2 for Vitals (For the gait data, two types of analyses were used. For the comparisons between the Gait Baseline and Gait Post for the EG and CG, an mANOVA was used. An mANOVA was also used for the Test Pre and Test Post comparisons between the EG and CG. All data were checked for normality, sphericity, and homoscedasticity before applying the mANOVA. If the sphericity and homoscedasticity requirements were met, but the data were not normal, then a natural log transform was used. When comparing the training data for the EG and CG, an independent 