Epilepsy & behavior : E&B · 2018
Factors contributing to excessive daytime sleepiness in Korean adults with epilepsy: A sleep questionnaire-based study.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
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Lee Sang-Ahm, No Young-Joo, Jo Kwang-Deog, Kwon Jee-Hyun, Kim Jeong Yeon, Shin Dong-Jin
Аннотация
OBJECTIVES: We determined factors contributing to excessive daytime sleepiness (EDS) in Korean adults with epilepsy (AWE).
METHODS: A total of 147 AWE who had been treated for >1 year were included. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Subjective sleep disturbances were assessed with the Sleep Apnea of Sleep Disorder Questionnaire (SA-SDQ) and questionnaires about insomnia and restless legs syndrome (RLS). The Hospital Anxiety and Depression Scale (HADS) was also used. An ESS score >10 was considered indicative of EDS. Multivariate logistic regression analyses using the backward elimination method were performed for variables with a p < 0.10 on univariate analysis.
RESULTS: The mean ESS score was 6.8 (standard deviation [SD]: 4.4). Among the 147 subjects, 36 (24.5%) had EDS. Multivariate logistic regression analysis showed that being employed (odds ratio [OR]: 4.469, p < 0.01), the presence of at least one sleep disturbance (OR: 3.626, p < 0.01), and antiepileptic drug (AED) polytherapy (OR: 2.663, p < 0.05) were independently associated with EDS in the overall group of AWE. In contrast, being employed (p < 0.05) and higher Hospital Anxiety and Depression Scale-Anxiety subscale (HADS-A) scores (p < 0.05) in a model for men with epilepsy, as well as having at least one sleep disturbance (p < 0.05) in a model for women with epilepsy, were identified as independent factors for EDS.
CONCLUSIONS: Excessive daytime sleepiness in AWE may have a multifactorial origin. Being employed, subjective sleep disturbances, and AED polytherapy are independent predictors of EDS. There may be sex differences in factors associated with EDS.
METHODS: A total of 147 AWE who had been treated for >1 year were included. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Subjective sleep disturbances were assessed with the Sleep Apnea of Sleep Disorder Questionnaire (SA-SDQ) and questionnaires about insomnia and restless legs syndrome (RLS). The Hospital Anxiety and Depression Scale (HADS) was also used. An ESS score >10 was considered indicative of EDS. Multivariate logistic regression analyses using the backward elimination method were performed for variables with a p < 0.10 on univariate analysis.
RESULTS: The mean ESS score was 6.8 (standard deviation [SD]: 4.4). Among the 147 subjects, 36 (24.5%) had EDS. Multivariate logistic regression analysis showed that being employed (odds ratio [OR]: 4.469, p < 0.01), the presence of at least one sleep disturbance (OR: 3.626, p < 0.01), and antiepileptic drug (AED) polytherapy (OR: 2.663, p < 0.05) were independently associated with EDS in the overall group of AWE. In contrast, being employed (p < 0.05) and higher Hospital Anxiety and Depression Scale-Anxiety subscale (HADS-A) scores (p < 0.05) in a model for men with epilepsy, as well as having at least one sleep disturbance (p < 0.05) in a model for women with epilepsy, were identified as independent factors for EDS.
CONCLUSIONS: Excessive daytime sleepiness in AWE may have a multifactorial origin. Being employed, subjective sleep disturbances, and AED polytherapy are independent predictors of EDS. There may be sex differences in factors associated with EDS.