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1.
Neurologia (Engl Ed) ; 37(2): 101-109, 2022 Mar.
Article in English | MEDLINE | ID: mdl-35279224

ABSTRACT

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.


Subject(s)
Migraine Disorders , Sleep Wake Disorders , Cross-Sectional Studies , Humans , Sleep Quality , Sleep Wake Disorders/diagnosis , Sleep Wake Disorders/epidemiology , Sleep Wake Disorders/psychology , Surveys and Questionnaires
2.
Neurología (Barc., Ed. impr.) ; 37(2): 101-109, Mar. 2022. tab
Article in English, Spanish | IBECS | ID: ibc-204645

ABSTRACT

Introducción: Uno de los factores contribuyentes en la cronificación de la migraña son los trastornos del sueño que pueden actuar como un factor precipitante y/o perpetuador en estos sujetos. El objetivo primario de este estudio fue identificar los factores predictores relacionados con la calidad del sueño en pacientes con migraña crónica (MC) y el objetivo secundario fue identificar si existían diferencias en variables psicológicas y de discapacidad entre los pacientes con MC que presentaban menor o mayor calidad del sueño. Métodos: Se llevó a cabo un estudio observacional, transversal, formado por 50 participantes con MC. Se registraron una serie de variables demográficas, psicológicas y de discapacidad mediante cuestionarios de autorregistro. Resultados: Se observaron correlaciones directas, moderadas-fuertes, entre las diferentes variables de discapacidad y psicológicas analizadas (p < 0,05). En la regresión, se estableció como variable criterio la calidad del sueño y las variables predictores fueron los síntomas depresivos, la discapacidad relacionada con la cefalea y el catastrofismo ante el dolor que, en conjunto, explican el 33% de la varianza. En cuanto a la comparación de los grupos de mayor y menor afectación del sueño, se encontraron diferencias estadísticamente significativas en la variable de síntomas depresivos (p = 0,016) y catastrofismo ante el dolor (p = 0,036). Conclusiones: Los factores predictores de la calidad del sueño en pacientes con MC fueron los síntomas depresivos, la discapacidad relacionada con la cefalea y, en menor medida, el catastrofismo ante el dolor. Los sujetos con peor calidad de sueño presentaron mayores niveles de catastrofismo ante el dolor y síntomas depresivos. (AU)


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. (AU)


Subject(s)
Humans , Sleep-Wake Transition Disorders/epidemiology , Sleep-Wake Transition Disorders/psychology , Migraine Disorders , Cross-Sectional Studies , Surveys and Questionnaires , Sleep Initiation and Maintenance Disorders , Quality of Life
3.
Neurologia (Engl Ed) ; 2019 Mar 08.
Article in English, Spanish | MEDLINE | ID: mdl-30857790

ABSTRACT

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.

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