Page 37 - The clinical aspects and management of chronic migraine Judith Anne Pijpers
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analyses were performed in the migraine population, using multivariate linear regression, testing for the association between general and migraine specific determinants and the three dimensions of affective disorders. Results were presented as p-values and B-values with 95% confidence intervals. For the primary analyses, we measured three outcomes (the three subscales of the MASQ-D30 questionnaire). Therefore, using Bonferoni correction for multiple testing, p-values <0.017 (0.05/3) were considered as statistically significant. Secondary, hypothesis generating analyses, were performed without correction for multiple testing. All analyses were performed using SPSS 20.0 (SPSS Inc., IBM, USA).
Results
Of 2981 NESDA participants, 454 fulfilled the criteria for migraine, and 360 lacked MASQ-D30 data and were excluded for analysis. As a result, the total amounts of participants were 1129 with current psychopathology, 477 with past psychopathology, and 561 healthy controls. A total of 3174 migraine patients with sufficient data on migraine characteristics and MASQ-D30 data were extracted from the LUMINA database. The total study flow is depicted in figure 1.
Figure 1: Study flow
LUMINA = Leiden University Medical Centre Migraine Neuro-analysis Program; NESDA = Netherlands Study of Depression and Anxiety; MASQ-D30 = Mood and Anxiety Symptoms Questionnaire
2
Affective disorders in migraine patients
    LUMINA population N = 3174
NESDA population N = 2981
   Reason for exclusion: Migraine (n=454) Missing MASQ-30 data (n=360)
 NESDA population N = 2167
        Migraine N = 3174
 Current Psychopathology N = 1129
Past Psychopathology N = 477
Healthy Controls N = 561
      .
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