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Table 3 Multiple linear regression analysisa of the efficacy of non-pharmacological measures

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

Non-pharmacological measures Unstandardized coefficients Standardized coefficients t 95% CI P
B SE β
Sleeping 0.33 0.16 0.10 2.05 0.01–0.65 0.04b
Heating pads 0.66 0.17 0.19 3.71 0.31–1.01 < 0.001b
Ginger 0.74 0.35 0.11 2.08 0.04–1.43 0.03b
Anise 0.62 0.21 0.15 2.97 0.21–1.03 0.003b
  1. 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
  2. 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
  3. bStatistically significant (P < 0.05)