Statistical analyses
CRF
REGRESSION, CRF
The normality of the variables was checked using both graphical and statistical procedures. To test sex for differences, a Then, multiple linear regression analyses were applied to analyze the association of objectively measured CRF and eCRF with cognitive performance. The unadjusted model (model 1) and the adjusted model (model 2) including sex, age, BMI, and/or education level as covariates were used for the regression analysis. This model 2 was based on scientific criteria, where both the individual association of potential confounders and its modifying effects over the coefficient (> 10%) were analyzed. Moreover, the interaction was also verified for the included confounders by generating virtual dummy variables in STATA code (independent × confounder) and checking its significance. This process of building the adjusted model was done for each independent variable (CRF and eCRF). The full process was performed for all neuropsychological tests as dependent variables and an overall Finally, additional sensitivity analyses were performed only for those participants achieving maximal criteria in CPET or using relative CRF instead of absolute CRF. Moreover, the normality of the residuals and the collinearity of the regression models were verified (command.All analyses were performed using the STATA software for Windows version 13.0. The level of significance was set at 