IJCS | Volume 32, Nº4, July/August 2019

338 Figure 4 - Multiple comparisons for the delta METs among the four physicians. C-AFQ vs. Measured VO 2 (METs) Figure 5 - Heatmap of the associations found for the main study variables. Footnote: white boxes indicate non-significant correlation coefficients and stronger coloration reflects greater association and higher r-values; additionally, blue and red color indicate, respectively, positive and negative correlation coefficients. CLINIMEX AFQ Araújo et al. CLINIMEX aerobic fitness questionnaire Int J Cardiovasc Sci. 2019;32(4):331-342 Original Article and ergometer (treadmill vs. cycling). Unpaired t-tests showed that none of these variables were found to be relevant in influencing the magnitude of delta METs, with p-values of 0.31 for sex, 0.52 for clinical condition, 0.21 for ß-blocker regular use and 0.05 for ergometer. In the second approach, a matrix correlation was calculated. Figure 5 presents the major association results in the format of a heatmap, inwhichwhite boxes indicate non-significant correlation coefficients and stronger coloration reflects more association and higher r2 values; additionally, blue and red color indicated, respectively, positive and negative correlation coefficients. As expected, measured VO 2 max was inversely related to age — r = -0.63 (p > 0.001). Similar or slightly higher correlation coefficients were obtained for the associations between the scores of the two non-aerobic fitness tests and the measured VO 2 max. Regarding delta METs, i.e., the difference between estimated (C-AFQ) and measured (CPET) VO 2 max, we