Neurologia · 2021
Predictive factors of sleep quality in patients with chronic migraine.
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Garrigós-Pedrón M, Segura-Ortí E, Gracia-Naya M, La Touche R
Аннотация
INTRODUCTION: One of the factors contributing to transformation of migraine are sleep disorders, which can act as a trigger and/or perpetuating factor in these patients. This study's primary objective was to identify predictive factors related to sleep quality in patients with chronic migraine (CM); the secondary objective was to identify any differences in psychological variables and disability between patients with CM with better or poorer sleep quality.
METHODS: A total of 50 patients with CM were included in an observational, cross-sectional study. We recorded data on demographic, psychological, and disability variables using self-administered questionnaires.
RESULTS: A direct, moderate-to-strong correlation was observed between the different disability and psychological variables analysed (P < .05). Regression analysis identified depressive symptoms, headache-related disability, and pain catastrophising as predictors of sleep quality; together, these factors explain 33% of the variance. Statistically significant differences were found between patients with better and poorer sleep quality for depressive symptoms (P = .016) and pain catastrophising (P = .036).
CONCLUSIONS: The predictive factors for sleep quality in patients with CM were depressive symptoms, headache-related disability, and pain catastrophising. Patients with poorer sleep quality had higher levels of pain catastrophising and depressive symptoms.
METHODS: A total of 50 patients with CM were included in an observational, cross-sectional study. We recorded data on demographic, psychological, and disability variables using self-administered questionnaires.
RESULTS: A direct, moderate-to-strong correlation was observed between the different disability and psychological variables analysed (P < .05). Regression analysis identified depressive symptoms, headache-related disability, and pain catastrophising as predictors of sleep quality; together, these factors explain 33% of the variance. Statistically significant differences were found between patients with better and poorer sleep quality for depressive symptoms (P = .016) and pain catastrophising (P = .036).
CONCLUSIONS: The predictive factors for sleep quality in patients with CM were depressive symptoms, headache-related disability, and pain catastrophising. Patients with poorer sleep quality had higher levels of pain catastrophising and depressive symptoms.