Binary logistic regression analysis, which included age, menstrual phase, gravidity, and parity, confirmed that the PAI-1 MOD value in either anatomical compartment was an independent predictor of moderate to severe dysmenorrhea (P=0.002, aOR=1.07, 95% CI=1.22–2.39; P=0.005, aOR=1.64, 95% CI=1.16–2.33, respectively) (Table 2). Here, SERPINE1 is linked to Dysmenorrhea.