Data analysis
migraine, pain
MIGRAINE, SECONDARY
A linear mixed model (LMM) was used to decide the between‐subjects (interventions), within‐subjects (times), and interactive effects of these two factors on migraine symptoms. To ensure that there were no missing data, a priori data analysis was performed for the interventional and control groups. Homogeneity, linearity, and normality of variance‐covariance matrices were calculated, and a We considered pain characteristics (i.e., frequency, duration, and intensity of the attacks) as response variables, interventions (three levels) as the between‐subjects factor, and the time (pre‐test, post‐test, and follow‐up) as the within‐subjects factor. Moreover, as secondary analyses, Cochran's tests were calculated to measure the effects of the two types of interventions on the menstrual cycle, OTC, sleep, and drinking water—that is, behavioral outcomes from baseline to post‐test and the 12‐month follow‐up.