All outcomes were tested and visually assessed for normality with the Shapiro–Wilk test and Q-Q plots a priori. The normality assessment revealed that BBS-14, Flanker Effect, fall risk, and COParea variables did not meet the normality assumption. Therefore, these variables were tested with the nonparametric Mann–Whitney U test, with a common language effect size indicator (A). The A effect size indicator represents the probability that a random data point from one group will be larger than a random data point from another group and is an appropriate effect size for nonparametric analyses [35,36]. The value of A ranges between 0.0 and 1.0, with 0.5 interpreted as no effect (i.e., 50% probability) and either extreme (0.0 or 1.0) interpreted as complete separation of the groups. The remaining normally distributed variables were analyzed with independent t-tests, accompanied by Cohen’s d as an effect size (d < 0.2 = small, 0.5 = medium, > 0.8 = large). All statistical tests compared differences between Users and Non-Users, significance for this exploratory analysis was accepted at p < 0.05, and analyses were performed with GraphPad Prism 8.1.2 (GraphPad Software, San Diego, CA, USA).

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