## 3 Results
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Variable**} & \multicolumn{2}{c}{**Crude**} & \multicolumn{2}{c}{**Adjusted**} & \multirow{2}{*}{**AUC**} \\ \cline{2-3} \cline{5-5}  & \(p\)**-Value** & & **OR [95\% CI]** & \(p\)**-Value** & **OR [95\% CI]** \\ \hline
**Age** & \textless{}0.0001 & 2.070 [1.946-2.202] & & & 0.696 [0.683–0.708] \\
**Anthropometric factors** & & & & & \\ HT & \textless{}0.0001 & 0.763 [0.719–0.808] & \textless{}0.0001 & 1.188 [1.097–1.287] & 0.429 [0.415–0.443] \\ WT & \textless{}0.0001 & 2.197 [2.046–2.358] & \textless{}0.0001 & 1.411 [2.12–1.643] & 0.700 [0.687–0.713] \\ WC & \textless{}0.0001 & 4.011 [3.647–4.411] & \textless{}0.0001 & 2.847 [2.447–3.313] & 0.808 [0.797–0.819] \\ WHtR & \textless{}0.0001 & 4.166 [3.795–4.572] & \textless{}0.0001 & 2.564 [2.194–2.996] & 0.813 [0.802–0.823] \\ BMI & \textless{}0.0001 & 2.922 [2.699–3.164] & & & 0.758 [0.746–0.770] \\
**Blood parameters** & & & & \\ GLU & \textless{}0.0001 & 4.593 [3.818–5.524] & \textless{}0.0001 & 3.377 [2.828–4.033] & 0.810 [0.799–0.821] \\ HBA1C & \textless{}0.0001 & 3.504 [3.022–0.063] & \textless{}0.0001 & 2.466 [2.161–2.813] & 0.776 [0.765–0.788] \\ TC & \textless{}0.1381 & 1.050 [0.984–1.119] & 0.4955 & 0.974 [0.903–1.051] & 0.486 [0.472–0.501] \\ HDL & \textless{}0.0001 & 0.318 [0.290–0.348] & \textless{}0.0001 & 0.348 [0.313–0.386] & 0.255 [0.244–0.267] \\ TG & \textless{}0.0001 & 3.723 [3.266–4.244] & \textless{}0.0001 & 3.515 [3.042–4.062] & 0.796 [0.785–0.807] \\ AST & \textless{}0.0001 & 1.433 [1.274–1.612] & \textless{}0.05 & 1.174 [1.055–1.306] & 0.601 [0.587–0.615] \\ ALT & \textless{}0.0001 & 1.588 [1.363–1.849] & \textless{}0.0001 & 1.301 [1.153–1.467] & 0.671 [0.658–0.684] \\ HB & \textless{}0.0001 & 1.316 [1.229–1.409] & \textless{}0.0001 & 1.206 [1.119–1.300] & 0.567 [0.553–0.581] \\ HCT & \textless{}0.0001 & 1.245 [1.165–1.330] & \textless{}0.05 & 1.122 [0.146–1.204] & 0.551 [0.537–0.565] \\ BUN & \textless{}0.0001 & 1.247 [1.167–1.333] & 0.6779 & 0.986 [0.920–1.056] & 0.557 [0.543–0.571] \\ CRT & \textless{}0.05 & 1.265 [1.057–1.515] & \textless{}0.05 & 1.143 [1.006–1.299] & 0.548 [0.533–0.562] \\ WBC & \textless{}0.0001 & 1.431 [1.346–1.522] & \textless{}0.0001 & 1.315 [1.225–1.413] & 0.626 [0.613–0.640] \\ RBC & \textless{}0.0001 & 1.305 [1.222–1.395] & \textless{}0.0001 & 1.294 [1.206–1.389] & 0.567 [0.553–0.581] \\
**Uninary parameters** & & & & \\ UPH & \textless{}0.0001 & 0.862 [0.812–0.915] & \textless{}0.0001 & 0.834 [0.781–0.891] & 0.413 [0.400–0.427] \\ USG & 0.4582 & 0.979 [0.926–1.035] & 0.1512 & 0.951 [0.887–1.019] & 0.464 [0.451–0.478] \\ UCRT & \textless{}0.05 & 0.903 [0.852–0.957] & 0.4165 & 0.971 [0.904–1.043] & 0.485 [0.472–0.499] \\
**Spirometric factors** & & & & \\ FVC & \textless{}0.0001 & 0.583 [0.544–0.624] & \textless{}0.05 & 0.882 [0.809–0.962] & 0.465 [0.452–0.479] \\ FEV1 & \textless{}0.0001 & 0.590 [0.551–0.631] & \textless{}0.05 & 0.898 [0.818–0.985] & 0.351 [0.338–0.364] \\ FEV1 FVC & \textless{}0.0001 & 0.855 [0.806–0.907] & 0.5393 & 1.024 [0.949–1.106] & 0.352 [0.339–0.365] \\ FEV6 & \textless{}0.0001 & 0.566 [0.528–0.607] & 0.05 & 0.872 [0.798–0.954] & 0.460 [0.447–0.47] \\ FEF25–75 & \textless{}0.0001 & 0.843 [0.781–0.911] & \textless{}0.05 & 1.150 [1.060–1.246] & 0.344 [0.33–0.357] \\ PEF & \textless{}0.0001 & 0.734 [0.689–0.781] & 0.2660 & 1.045 [0.967–1.130] & 0.433 [0.419–0.447] \\ \hline \hline \end{tabular}  
Adjusted for age, body mass index (BMI), alcohol consumption, smoking, income, recognized stress rate, and education level. The results are from crude and adjusted analyses using binary logistic regression.  
\end{table} 
Table 4: Associations of anthropometric factors, blood parameters, urinary parameters, and spirometric factors with metabolic From the AUC analysis, Figures 3 and 4 show the predictive power of anthropometric and spirometric factors, blood and urinary parameters for MS in Korean men and women.