## 3 Results
### Kinanthropometric Differences
#### 3.3.3. Kiananthropometric Differences According to Age and Sex
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multicolumn{2}{c}{**Variable**} & \multicolumn{8}{c}{**Study Groups**} \\ \cline{2-10} \multicolumn{2}{c}{**Analyzed**} & **T** & **B** & **H** & **W** & **R** & **C** & **S** & **G** & **V** \\ \hline \multirow{4}{*}{CI} & T & \(52.10\pm 2.00\) & \(51.54\pm 1.80\) & \(52.47\pm 1.52\) & \(52.48\pm 1.48\) & \(49.76\pm 2.94\) & \(52.72\pm 1.35\) & \(52.01\pm 1.50\) & \(52.92\pm 1.65\) & \(53.46\pm 1.04\) \\  & M & \(51.78\pm 2.21\) & \(50.83\pm 2.09\) & \(52.47\pm 1.47\) & \(52.28\pm 0.96\) & \(49.50\pm 3.13\) & \(52.76\pm 1.37\) & \(51.84\pm 1.68\) & \(52.22\pm 1.58\) & \(53.91\pm 0.73\) \\  & F & \(52.36\pm 1.47\) & \(52.27\pm 1.04\) & \(52.48\pm 1.61\) & \(52.67\pm 1.86\) & \(50.91\pm 1.52\) & \(52.57\pm 1.31\) & \(52.54\pm 0.43\) & \(53.67\pm 1.42\) & \(53.15\pm 1.11\) \\  & F & \(52.00\pm 0.01\)* & \(p=0.003\)* & \(p=0.994\) & \(p=0.209\) & \(p=0.196\) & \(p=0.680\) & \(p=0.005\) & \(p=0.002\)* & \(p=0.002\)* \\ \hline \multirow{4}{*}{RILLs} & T & \(92.22\pm 7.88\) & \(94.29\pm 7.53\) & \(90.73\pm 5.99\) & \(90.71\pm 5.44\) & \(101.66\pm\) & \(89.81\pm 4.87\) & \(92.42\pm 5.71\) & \(89.13\pm 5.92\) & \(87.14\pm 3.66\) \\  & M & \(93.52\pm 8.86\) & \(97.10\pm 9.10\) & \(90.72\pm 5.41\) & \(91.34\pm 3.49\) & \(102.81\pm\) & \(89.65\pm 4.94\) & \(93.10\pm 6.39\) & \(91.65\pm 5.82\) & \(85.53\pm 2.52\) \\  & F & \(90.17\pm 5.42\) & \(91.37\pm 3.80\) & \(90.74\pm 5.92\) & \(90.08\pm 6.87\) & \(96.57\pm 6.22\) & \(90.33\pm 4.83\) & \(90.34\pm 1.54\) & \(86.44\pm 4.89\) & \(88.21\pm 3.95\) \\  & \(p\leq 0.001\)* & \(p=0.005\)* & \(p=0.993\) & \(p=0.358\) & \(p=0.172\) & \(p=0.688\) & \(p=0.083\) & \(p=0.012\)* & \(p=0.021\)* \\ \hline \multirow{4}{*}{BDI} & T & \(18.22\pm 8.20\) & \(21.38\pm 8.80\) & \(16.39\pm 6.41\) & \(25.17\pm 0.95\) & \(17.94\pm 5.95\) & \(12.95\pm 4.74\) & \(14.34\pm 6.82\) & \(21.59\pm 10.31\) & \(15.90\pm 4.32\) \\  & M & \(13.85\pm 4.92\) & \(15.08\pm 4.45\) & \(11.94\pm 3.18\) & \(18.96\pm 3.76\) & \(16.08\pm 4.27\) & \(11.48\pm 3.68\) & \(18.41\pm 5.60\) & \(13.22\pm 3.68\) & \(11.82\pm 2.13\) \\  & F & \(25.14\pm 7.56\) & \(27.91\pm 5.03\) & \(2.16.56\pm 5.14\) & \(31.38\pm 8.52\) & \(26.20\pm 5.42\) & \(30.53\pm 6.90\) & \(22.11\pm 3.60\) & \(30.53\pm 6.90\) & \(18.62\pm 3.06\) \\  & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* & \(p\leq 0.001\)* \\ \hline \hline \end{tabular}   
* \({}^{*}\)= statistically significant, T = total, M = male, F = female, \(p\) = probability value, B = basketball In general, age was positively associated with the BMI and RILLs. This means that these measurements tend to increase with age. At the same time, we observed that age was negatively associated with the CI. This means that this measurement tends to decrease with age. In males, age was positively associated with the RILLs. This means that this measurement tends to increase with age. At the same time, we observed that age was a negative factor with the CI. This means that this measurement tends to decrease with age. In females, age was positively associated with the BMI and RILLs. This means that these measurements tend to increase with age. At the same time, we observed that age was negatively associated with the PI and BDI.