## 4 Discussion  
The aim of this study was to determine the influence of body composition on cardiorespiratory fitness and metabolic markers in physically inactive individuals with insulin resistance. The main results showed a significant correlation between FFM, BMI, and FM with VO\({}_{2}\)max, independent of age and sex. In addition, the multiple linear regression model showed that BMI and fat-free mass influenced the variance of VO\({}_{2}\)max by 89%. \begin{table} \begin{tabular}{l c c c c c c} \hline \hline
**Variables** & **VO\({}_{2}\)max** & **Fasting Insulin** & **Fasting Glycemia** & **HOMA-IR** & **MFO** \\ \hline BMI (kg\(\cdot\)m\({}^{-2}\)) & \(-\)0.75 **\(\star\)**; (\(-\)0.90 to 015); 0.001 & 0.34; (\(-\)0.21 to 0.74); 0.18 & 0.30; (\(-\)0.26 to 0.75); 0.25 & 0.44; (\(-\)0.07 to 0.78); 0.08 & \(-\)0.33; (\(-\)0.74 to 0.48); 0.20 \\ FM (\%) & \(-\)0.53 **\(\star\)**; (\(-\)0.83 to 0.22); 0.03 & 0.15; (\(-\)0.41 to 0.56); 0.58 & 0.15; (\(-\)0.49 to 0.65); 0.55 & 0.23; (\(-\)0.39 to 0.59); 0.39 & \(-\)0.04; (\(-\)0.59 to 0.82); 0.86 \\ FFM (\%) & 0.53 **\(\star\)**; (0.22 to 0.83); 0.03 & \(-\)0.15; (\(-\)0.56 to 0.41); 0.58 & 0.15; (\(-\)0.65 to 0.49); 0.55 & \(-\)0.23; (\(-\)0.59 to 0.39); 0.39 & \(-\)0.04; (\(-\)0.82 to 0.59); 0.86 \\ \hline \hline \end{tabular} \begin{tabular}{l c c c c} \hline \hline
**Variables** & **VO\({}_{2}\)max** & **Fasting Insulin** & **Fasting Glycemia** & **HOMA-IR** & **MFO** \\ \hline BMI (kg\(\cdot\)m\({}^{-2}\)) & \(-\)0.75 **\(\star\)**; (\(-\)0.90 to 015); 0.001 & 0.34; (\(-\)0.21 to 0.74); 0.18 & 0.30; (\(-\)0.26 to 0.75); 0.25 & 0.44; (\(-\)0.07 to 0.78); 0.08 & \(-\)0.33; (\(-\)0.74 to 0.48); 0.20 \\ FM (\%) & \(-\)0.53 **\(\star\)**; (\(-\)0.83 to 0.22); 0.03 & 0.15; (\(-\)0.41 to 0.56); 0.58 & 0.15; (\(-\)0.49 to 0.65); 0.55 & 0.23; (\(-\)0.39 to 0.59); 0.39 & \(-\)0.04; (\(-\)0.59 to 0.82); 0.86 \\ FFM (\%) & 0.53 **\(\star\)**; (0.22 to 0.83); 0.03 & \(-\)0.15; (\(-\)0.56 to 0.41); 0.58 & 0.15; (\(-\)0.65 to 0.49); 0.55 & \(-\)0.23; (\(-\)0.59 to 0.39); 0.39 & \(-\)0.04; (\(-\)0.82 to 0.59); 0.86 \\ \hline \hline \end{tabular} \begin{tabular}{l c c c c} \hline \hline
**Variables** & **VO\({}_{2}\)max** & **Fasting Insulin** & **Fasting Glycemia** & **HOMA-IR** & **MFO** \\ \hline BMI (kg\(\cdot\)m\({}^{-2}\)) & \(-\)0.75 **\(\star\)**; (\(-\)0.90 to 015); 0.001 & 0.34; (\(-\)0.21 to 0.74); 0.18 & 0.30; (\(-\)0.26 to 0.75); 0.25 & 0.44; (\(-\)0.07 to 0.78); 0.08 & \(-\)0.33; (\(-\)0.74 to 0.48); 0.20 \\ FM (\%) & \(-\)0.53 **\(\star\)**; (\(-\)0.83 to 0.22); 0.03 & 0.15; (\(-\)0.41 to 0.56); 0.58 & 0.15; (\(-\)0.49 to 0.65); 0.55 & 0.23; (\(-\)0.39 to 0.59); 0.39 & \(-\)0.04; (\(-\)0.59 to 0.82); 0.86 \\ FFM (\%) & 0.53 **\(\star\)**; (0.22 to 0.83); 0.03 & \(-\)0.15; (\(-\)0.56 to 0.41); 0.58 & 0.15; (\(-\)0.65 to 0.49); 0.55 & \(-\)0.23; (\(-\)0.59 to 0.39); 0.39 & \(-\)0.04; (\(-\)0.82 to 0.59); 0.86 \\ \hline \hline \end{tabular} 
\begin{tabular}{l c c c} \hline \hline
**Variables** & **VO\({}_{2}\)max** & **Fasting Insulin** & **Fasting Glycemia** & **HOMA-IR** & **MFO** \\ \hline BMI (kg\(\cdot\)m\({}^{-2}\)) & \(-\)0.75 **\(\star\)**; (\(-\)0.90 to 015); 0.001 & 0.34; (\(-\)0.21 to 0.74); 0.18 & 0.30; (\(-\)0.26 to 0.75); 0.25 & 0.44; (\(-\)0.07 to 0.78); 0.08 & \(-\)0.33; (\(-\)0.74 to 0.48); 0 In addition, low to moderate, but not significant, correlations were observed between BMI, %FM and FFM with HOMA-IR and fasting blood glucose. Regarding the results of the relationship between body composition and VO2 max [PERSON] et al. [20] found no significant correlations between FM and FFM with VO2 max in young (\(n=14\)) healthy and active (21-31 years) women [20]. These differences could be attributed to the heterogeneity of the sample (5 men and 14 women) of physically inactive adults (32.7 \(\pm\) 10 years) with IR. In this sense, the contrast of our results could be explained by the fact that physically inactive people with IR have a low VO2 max [6-10] and a decrease in the number of mitochondria [36] during exercise or at rest [36].