# Relationships between Anthropometric and Strength Profiles of Streetlifting Athletes
## 3 Results
### Regression Analysis  
The investigative analysis showed that the final score was influenced by 25% for chin-ups, 26% for dips and 49% for squats in women, while in men, the final score was influenced by 18% for chin-ups, 25% for dips, 44% for squats and 13% for muscle-ups. Four prediction equations were developed to calculate the streetlifting performance using girths and body composition. Table 4 reports the models of the linear regression analysis used to predict the corrected streetlifting performance. The values of the predicted maximum performance were not significantly different to the corrected streetlifting performance for chin-ups (132.47 \(\pm\) 32.34 kg vs. 132.49 \(\pm\) 30.44 kg, \(p\) = 0.986), dips (160.84 \(\pm\) 41.82 kg vs. 160.85 \(\pm\) 39.61 kg, \(p\) = 0.997), muscle-ups (100.12 \(\pm\) 13.05 kg vs. 100.19 \(\pm\) 10.63 kg, \begin{table}
\begin{tabular}{l c c c c} \hline \hline \multicolumn{5}{c}{**Partial Correlation Accounted for Sex and Body Weight Categories**} \\ \hline
**Parameter** & **Chin-Up** & **Dip** & **Muscle-Up** & **Squat** \\ \hline Body mass & 0.00 & \(-\)0.04 & 0.29 * & 0.32 ** \\ Height & 0.15 & \(-\)0.07 & 0.06 & \(-\)0.28 ** \\ \hline
**Girths (cm)** & & & & \\ \hline Flex and tensed arm & 0.47 *** & 0.60 *** & 0.43 *** & 0.16 \\ Forearm & 0.35 ** & 0.54 *** & 0.26 * & 0.19 \\ Chest & 0.40 *** & 0.41 *** & 0.44 *** & 0.37 ** \\ Hip & \(-\)0.05 & \(-\)0.05 & 0.13 & 0.14 \\ Thigh & \(-\)0.19 & \(-\)0.23 * & 0.04 & 0.44 *** \\ Calf & \(-\)0.23 * & \(-\)0.33 ** & \(-\)0.00 & 0.06 \\ \hline
**Length (cm)** & & & & \\ \hline Upper arm & \(-\)0.01 & \(-\)0.18 & 0.19 & \(-\)0.29 * \\ Forearm & 0.16 & \(-\)0.038 & \(-\)0.00 & \(-\)0.18 \\ Femur & \(-\)0.21 & \(-\)0.31 ** & \(-\)0.19 & \(-\)0.24 * \\ Tibia & \(-\)0.05 & \(-\)0.34 ** & 0.05 & \(-\)0.32 ** \\ \hline
**Breadths(cm)** & & & & \\ \hline Humerus & 0.07 & 0.22 & \(-\)0.03 & \(-\)0.10 \\ Femur & \(-\)0.20 & \(-\)0.11 & \(-\)0.10 & \(-\)0.09 \\ Bi-acromial & 0.15 & 0.17 & \(-\)0.09 & 0.05 \\ Bi-iliac & \(-\)0.02 & \(-\)0.00 & 0.03 & 0.03 \\ \hline
**Body composition** & & & & \\ \hline Body fat (\%) & \(-\)0.42 *** & \(-\)0.42 *** & 0.02 & 0.04 \\ Fat-free mass (kg) & 0.42 *** & 0.37 * & 0.30 * & 0.38 *** \\ AMA (cm\({}^{2}\)) & 0.52 *** & 0.64 *** & 0.39 ** & 0.10 \\ tCSA (cm\({}^{2}\)) & 0.19 & 0.16 & 0.03 & 0.59 *** \\ \hline
**Somatotype** & & & & \\ \hline Endomoprhy & \(-\)0.32 ** & \(-\)0.28 * & \(-\)0.00 & 0.13 \\ Mesompohry & 0.02 & 0.26 * & 0.06 & 0.17 \\ Ectomyrb & 0.13 & \(-\)0.03 & \(-\)0.11 & \(-\)0.47 *** \\ \hline
**Proportional indices** & & & & \\ \hline AL/H (\%) & \(-\)0.04 & \(-\)0.11 & 0.11 & \(-\)0.12 \\ Brachial (\%) & 0.18 & 0.12 & \(-\)0.17 & 0.06 \\ Crural (\%) & 0.20 & 0.11 & 0.24 & \(-\)0.01 \\ Brugsch’s (\%) & 0.25 * & 0.38 *** & 0.29 * & 0.45 *** \\ Acro-iliac (\%) & \(-\)0.17 & \(-\)0.16 & 0.11 & \(-\)0.02 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Partial Pearson correlation accounted for sexes and body weight categories between anthropometry, body composition and corrected strength performance; significance is equal to * = \(p\) < 0.05; ** = \(p\) < 0.01; *** = \(p\) < 0.001. AMA = mid-arm muscle area; tCSA = thigh cross-sectional area; AL/H = arm length/height index; brachial index = forearm/upper arm lengths; crural index = tibia/femur lengths; Brugsch’s index = chest girth/height; acromo-iliac index = bi-ilicristal/bi-acromial breadth. \(p\) = 0.949) and squats (229.48 \(\pm\) 53.91 kg vs. 229.45 \(\pm\) 48.38 kg, \(p\) = 0.993). Furthermore, near-perfect correlations were detected between the predicted performance and chin-ups (overall: r = 0.94; male: r = 0.74; female: r = 0.84), dips (overall: r = 0.95; male: r = 0.79; female: r = 0.84) and muscle-ups (male: r = 0.81), while the predicted squat performance showed a very large correlation with the corrected squat performance in the overall sample (r = 0.89) and in men (r = 0.82) and a moderate correlation in women (r = 0.48).