Applying OPTIMAL Theory to Enhance Clinical Outcomes for People with Multiple Sclerosis

Overview This data package contains the de-identified dataset file associated with the study examining the effects of an OPTIMAL-based intervention on motor performance, mobility, disability, and depressive symptoms in people with multiple sclerosis (MS). Variable Naming and Data Transformation Variables with an “X” suffix represent Box–Cox-transformed values of variables that did not meet the normality assumption. Normality was assessed using the Shapiro–Wilk test and Q–Q plots, and Box–Cox transformations were applied to non-normally distributed data. The transformed variables (those with an “X” suffix) were used in the statistical analyses, while the original, untransformed data were retained in the dataset for reference. Statistical Analyses All statistical analyses were conducted using jamovi. The outcomes included movement time, Timed Up and Go (TUG), Timed 25-Foot Walk (T25FW), Expanded Disability Status Scale (EDSS), and Beck Depression Inventory-II (BDI-II). A 2 (group: optimal and control) × 2 (time: baseline and post-intervention) mixed-design analysis of variance (ANOVA) was used to examine changes in outcomes over time and differences between groups. Tukey's honestly significant difference (HSD) procedure was used for multiple comparisons. Effect sizes were expressed as partial eta squared (ηp²). All randomized participants were included in the primary analyses according to their original group assignment. Secondary per-protocol analyses were also conducted among participants who completed the intervention according to the protocol. No missing data were observed; therefore, all randomized participants were included in the analyses. Reproducibility The dataset provides the data used in the statistical analyses, including both original and Box–Cox-transformed variables. The variables with an “X” suffix identify the transformed values used in the analyses. These files are intended to facilitate verification of the statistical results and correspondence between the dataset and the findings reported in the manuscript.