The Difference between the Two Representative Kampo Formulas for Treating Dysmenorrhea: An Observational Study

Table 5

Effects of potential predictor variables and predictor variables in the final model.

	⁢Univariate		Multivariate (final model)
	Estimates	OR (95% CI)	Estimates	OR (95% CI)	value
(Intercept)			−1.356	0.258 (0.075, 0.752)	0.019
Subjective symptoms
Tendency to sweat	1.515	4.550 (1.945, 11.684)	0.930	2.533 (0.844, 8.210)	0.106
Heat intolerance	1.176	3.240 (1.248, 9.531)
Leg numbness	2.197	9.000 (1.617, 168.588)	2.448	11.561 (1.844, 228.900)	0.029
Cold sensation in lower back	1.404	4.071 (1.216, 18.571)	1.559	4.752 (0.870, 35.614)	0.095
Lightheadedness	−0.738	0.478 (0.231, 0.974)	−1.019	0.361 (0.128, 0.971)	0.047
Objective findings
Slim (BMI < 18.5)	−1.716	0.180 (0.061, 0.460)
Weak abdomen	−2.148	0.117 (0.045, 0.274)	−1.498	0.224 (0.068, 0.666)	0.009
Strong abdomen	2.346	10.440 (2.827, 67.728)	2.077	7.984 (1.732, 60.429)	0.017
Paraumbilical tenderness and resistance	1.825	6.200 (2.753, 14.968)	2.183	8.870 (2.921, 31.644)	0.000

OR, odds ratio; CI, confidence interval; BMI, body mass index.