Table 1.

Ordinal logistic regression model specification

Eqs. (1)-(3):
$L_1=\log (\frac{{\pi }_1}{{\pi }_2+}{\pi }_3+\cdots +{\pi }_r)$ $L_2=\log ({\pi }_1+\frac{{\pi }_2}{{\pi }_3+}{\pi }_4+\cdots +{\pi }_r)$ $L_n=\log ({\pi }_n+\frac{{\pi }_{n+1}}{{\pi }_{n+2}+}{\pi }_{n+3}+\cdots +{\pi }_r)$
Eq. (4):
$\begin{array}{c}P(Y\le j)={\pi }_1+\dots +{\pi }_J\\ \log (P(Y\frac{\le j)}{P}(Y>j))=\log (\frac{{\pi }_1+\cdots +{\pi }_j}{{\pi }_{j+1}+\cdots +}{\pi }_j)\end{array}$
Components:
π1: Probability of being in category 1 of Cardiometabolic Dysfunction	π4: Probability of being in category 4 of Cardiometabolic Dysfunction
π2: Probability of being in category 2 of Cardiometabolic Dysfunction	πr: Probability of being in higher ordered category of Cardiometabolic Dysfunction
π3: Probability of being in category 3 of Cardiometabolic Dysfunction	j: Threshold of interest (Cardiometabolic Dysfunction category 1)