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. 2024 Aug 27;25(1):138. doi: 10.1186/s10194-024-01842-y

Table 2.

Results of logistic regression model for dependent variables: EM vs CM-MO

B S.E Wald df Sig Exp(B) 95% CI for Exp(B)
Inferior Superior
miR-155 (RQ) 0.84 0.368 5.238 1 0.022 2.32 1.13 4.78
Sex (Male) -0.17 0.744 0.055 1 0.815 0.84 0.19 3.61
Age (years) 0.05 0.032 2.347 1 0.126 1.05 0.99 1.12
Presence of aura 2.00 0.789 6.451 1 0.011 7.43 1.58 34.88
Ongoing prevention -0.20 0.643 0.099 1 0.753 0.82 0.23 2.88
Presence of other pain conditions 1.00 0.741 1.835 1 0.176 2.73 0.64 11.65
Presence of anxious symptoms 2.43 0.722 11.369 1 0.001 11.42 2.77 47.03
Presence of depressive symptoms 0.52 0.676 0.601 1 0.438 1.69 0.45 6.36
Presence of at least one co-existing disease 0.81 0.614 1.745 1 0.187 2.25 0.68 7.49
Smoking habit 1.14 0.794 2.071 1 0.150 3.13 0.66 14.84
Constant -6.14 2.020 9.238 1 0.002 0.002 -

Legend: CM-MO Chronic migraine with medication overuse, EM Episodic migraine. B is the coefficient in log-odds units used in predicting the dependent variable (EM versus CM-MO) from the independent variable. S.E. represents standard errors associated with B coefficients, while Wald signifies the Wald chi-square value, with df representing degrees of freedom. Exp(B) indicates odds ratios for the predictors, obtained through exponentiation of the coefficients. 95% CI or 95% confidence intervals denotes the confidence intervals for the odds ratios Exp(B)