Statistical analysis
inflammation
INFLAMMATION
Using descriptive statistics, we present the baseline sociodemographic and clinical characteristics of the sample. Categorical variables are presented as percentages, while continuous variables are presented as means and standard deviations. SPSS version 26.0 software (SPSS Inc., Chicago, IL) was used to analyze baseline differences in demographic, clinical, and cognitive characteristics between the study and control groups. At baseline, differences in demographic, Tanita, cardiovascular, and neuropsychological characteristics between study and control groups were analyzed using a T-test (continuous variables) or Fisher’s exact test (categorical variables). The level of statistical significance was set at p < 0.05.After the completion of the study, several linear mixed models with repeated measurements will be used to assess the differences included as outcome measures. The group variable (2 categories: study vs. control) and the time factor (2 moments: v0 and v2) will be considered independent model factors. The various blood markers of inflammation will be considered dependent variables. The interaction group x time will be considered the main target of each model executed (for each blood marker). If any relevant clinical or demographic variable (age, gender, educational level, etc.) is found to be unbalanced between the two groups, it will be incorporated into the model as a covariate.