## 3 Results
### Correlation between Endocrine-Metabolic Setting and Blood Pressure and Body Composition  
The results of these analyses are reported in Table 4.  
Glucose levels exhibit correlations with body composition parameters, particularly WHR (\(r\) = 0.52, \(p\) = 0.02) and VAT (\(r\) = 0.61, \(p\) = 0.01) and insulinemia correlates with brachial systolic BP (\(r\) = 0.50, \(p\) = 0.03) and Ai@75 (\(r\) = 0.56, \(p\) = 0.01). HDL-C emerged as a central connection between BP and body composition, with a significant negative correlation observed with systolic BP, both central (\(r\) = \(-\)0.48, \(p\) = 0.04) and brachial (\(r\) = 0.47, \(p\) = 0.04), and BMI (\(r\) = \(-\)0.46, \(p\) = 0.04). Triglycerides moderately correlate with weight (\(r\) = 0.47, \(p\) = 0.04) and BMI (\(r\) = 0.48, \(p\) = 0.03). There were no consistent correlations observed between BP, arterial stiffness parameters, and thyroid function markers except for the FT3/FT4 ratio, which correlates with heart rate (\(r\) = \(-\)0.05, \(p\) = 0.03). Moreover, the FT3/FT4 ratio consistently correlates negatively with weight (\(r\) = \(-\)0.58, \(p\) = 0.01), BMI (\(r\) = \(-\)0.59, \(p\) = 0.009), and total FM% (\(r\) = \(-\)0.63, \(p\) < 0.01), and IMAT (\(r\) = \(-\)0.68, \(p\) <0.01) and positively with lean mass ratio (\(r\) = 0.61, \(p\) = 0.009) (Table 5). \begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline
**Correlations** & **HOMA Index** & **TyG Index** & **TG/hdl** & **Ctot/hdl** & **LDL/HDL** & **CV Risk: AIP** & **N/L Ratio** \\ \hline  & \(r\) & \(p\) & \(r\) & \(p\) & \(r\) & \(p\) & \(r\) & \(p\) & \(r\) & \(p\) & \(r\) & \(p\) \\ \hline \begin{tabular}{c} B-Systolic BP \\ (mmHg) \\ \end{tabular} & **0.65** & **0.004** & **0.56** & **0.01** & 0.42 & 0.08 & 0.42 & 0.08 & 0.42 & 0.07 & **0.51** & **0.02** & 0.42 & 0.08 \\ \hline \begin{tabular}{c} B-Diastolic BP \\ (mmHg) \\ \end{tabular} & 0.42 & 0.07 & 0.42 & 0.08 & 0.37 & 0.12 & 0.36 & 0.16 & 0.32 & 0.18 & 0.37 & 0.12 & 0.41 & 0.09 \\ \hline \begin{tabular}{c} HR (bpm) \\ (mmHg) \\ \end{tabular} & 0.50 & 0.81 & 0.39 & 0.19 & 0.38 & 0.11 & 0.30 & 0.27 & 0.24 & 0.32 & 0.34 & 0.15 & 0.05 & 0.83 \\ \hline \begin{tabular}{c} C-Systolic BP \\ (mmHg) \\ \end{tabular} & **0.57** & **0.01** & **0.52** & **0.02** & 0.39 & 0.10 & 0.41 & 0.08 & 0.41 & 0.08 & **0.48** & **0.04** & 0.40 & 0.06 \\ \hline \begin{tabular}{c} C-Diastolic BP \\ (mmHg) \\ \end{tabular} & 0.43 & 0.07 & 0.43 & 0.07 & 0.37 & 0.12 & 0.36 & 0.13 & 0.33 & 0.17 & 0.37 & 0.12 & 0.40 & 0.09 \\ \hline \begin{tabular}{c} AI@75 \\ \end{tabular} & 0.46 & 0.05 & 0.21 & 0.39 & 0.25 & 0.30 & 0.23 & 0.35 & 0.23 & 0.35 & 0.27 & 0.26 & 0.28 & 0.24 \\ \hline \begin{tabular}{c} PWA \\ \end{tabular} & **0.49** & **0.04** & 0.18 & 0.47 & 0.08 & 0.73 & 0.15 & 0.56 & 0.18 & 0.45 & 0.18 & 0.45 & **0.54** & **0.01** \\ \hline \begin{tabular}{c} Weight (Kg) \\ \end{tabular} & 0.25 & 0.29 & 0.41 & 0.07 & 0.41 & 0.08 & 0.27 & 0.25 & 0.23 & 0.33 & 0.38 & 0.10 & 0.28 & 0.23 \\ \hline BMI (Kg/m\({}^{2}\)) & 0.24 & 0.31 & 0.43 & 0.06 & **0.47** & **0.03** & 0.36 & 0.12 & 0.32 & 0.17 & 0.44 & 0.05 & 0.36 & 0.13 \\ \hline \begin{tabular}{c} WHR \\ \end{tabular} & **0.50** & **0.03** & 0.37 & 0.11 & 0.22 & 0.36 & 0.11 & 0.64 & 0.08 & 0.73 & 0.21 & 0.38 & 0.22 & 0.35 \\ \hline Total FM (\%) & 0.35 & 0.15 & 0.20 & 0.40 & 0.27 & 0.27 & 0.23 & 0.35 & 0.28 & 0.40 & 0.24 & 0.32 & 0.20 & 0.42 \\ \hline \begin{tabular}{c} Lean/Fat Mass \\ \end{tabular} & \(-\)0.35 & 0.14 & \(-\)0.16 & 0.51 & \(-\)0.28 & 0.26 & \(-\)0.26 & 0.29 & \(-\)0.24 & 0.32 & \(-\)0.24 & 0.32 & \(-\)0.17 & 0.48 \\ \hline \
\begin{tabular}{c} VAT (g) \\ \end{tabular} & **0.59** & **0.01** & 0.44 & 0.08 & 0.31 & 0.24 & 0.20 & 0.44 & 0.16 & 0.54 & 0.28 & 0.28 & 0.47 & 0.06 \\ \hline IMAT (Kg) & 0.36 & 0.14 & 0.33 & 0.19 & 0.31 & 0.23 & 0.19 & 0.44 & 0.16 & 0.52 & 0.29 & 0.24 & 0.25 & 0.32 \\ \hline
\begin{tabular}{c} ASMI \\ \end{tabular} & \(-\)0.16 & 0.51 & 0.32 & 0.19 & 0.21 & 0.40 & 0.10 & 0.67 & 0.10 & 0.70 & 0.24 & 0.35 & 0.19 & 0.46 \\ \hline \hline \end{tabular}
\end{table}