Statistical analysis
The sample size was determined to be sufficient through calculations using the GPower 3.1.1 computer program software. The power analysis indicated that a total of 34 participants, including a 15% dropout rate (number of measurements = 6), were needed for a medium partial ηThe obtained data were analyzed with IBM SPSS Statistics 25 (IBM, Armonk, NY, USA). The parametric distribution of numerical variables was evaluated by the Shapiro–Wilk normality test. The Levene test was used to verify homogeneity. The normally distributed measures are denoted as the mean ± standard deviation (mean ±SD). The T test was applied to make independent comparisons between groups. Repeated measures ANOVA was used to analyze the repeated variables. Nonnormally distributed measures were expressed as the median and interquartile range (IQR) or marginal means from generalized estimation equations and standard deviation from raw data among persons with information at specific time points (mean ±SD)