Prevalence, risk factors, and management practices of primary dysmenorrhea among young females

BMC Women's Health

Table 3 Multiple linear regression analysis^a of the efficacy of non-pharmacological measures

Non-pharmacological measures	Unstandardized coefficients		Standardized coefficients	t	95% CI	P
Non-pharmacological measures	B	SE	β	t	95% CI	P
Sleeping	0.33	0.16	0.10	2.05	0.01–0.65	0.04^b
Heating pads	0.66	0.17	0.19	3.71	0.31–1.01	< 0.001^b
Ginger	0.74	0.35	0.11	2.08	0.04–1.43	0.03^b
Anise	0.62	0.21	0.15	2.97	0.21–1.03	0.003^b

B coefficient for the constant in the null model, β the standardized odds ratio, CI confidence interval, SE standard error, t the parameter estimate divided by its standard error
^aMultiple linear regression analysis was performed using backward stepwise analysis, and the outcome was: Pain difference intensity I = (pain score 1) − (pain score 2). R: 0.372 and R²: 0.138, thus the model detects 13% of the variation in the mean of different pain score post-non-pharmacological measures. ANOVA F: 8.697, P value < 0.001
^bStatistically significant (P < 0.05)

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