EHMTI-0074. Excessive daytime sleepiness in migraineurs is associated with anxiety and depression: a population-based study
- 301 Downloads
KeywordsMigraine Depression Symptom Epworth Sleepiness Scale Excessive Daytime Sleepiness Anxiety Scale
Excessive daytime sleepiness is a major clinical and health concern that can have harmful consequences and has shown an associated with anxiety and depression. A close relationship between EDS and migraine has been reported in case-control studies. Case-control study may be affected by confounding factors.
To examine whether excessive daytime sleepiness (EDS) in migraineurs is associated with anxiety and depression in a population-based sample.
We selected a stratified random population sample of Koreans aged 19-69 and evaluated them with a 60-item semi-structured interview designed to identify headache type, anxiety, depression and EDS. Subjects with EDS was identified if a subject's Epworth Sleepiness Scale (ESS) was 10 or more. Anxiety and depression symptoms were evaluated using Goldberg Anxiety Scale questions and Patient Health Questionnnaire-9, respectively.
The 1-year prevalences of EDS and migraine were 16.8% and 5.4%, respectively. Migraineurs reported more commonly reported EDS compared to non-migraine subjects (25.2% vs. 16.3%, p=0.005). Migraineurs with EDS reported higher attack frequency per month (6.0±8.5 vs. 3.5±5.8, p=0.010), higher HIT-6 score (60.0 ±10.1 vs. 52.6±8.3, p<0.001) compared to migraineurs without EDS. Logistic regression analysis revealed that migraine showed an odds ratio (OR) for EDS compared to non-migraineurs (OR [CI]) = 1.7 [1.2-2.6]). After adjusting anxiety and depression, migraine was not associated with EDS (OR [CI]) = 1.3 [0.8-1.9]).
Approximately 1/4 of migraineurs experienced EDS. Excessive daytime sleepiness in migraineurs was associated with anxiety and depression.
No conflict of interest.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.