Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Disaster Med Public Health Prep. 2019 Aug;13(4):745-752. doi: 10.1017/dmp.2018.156. Epub 2019 Mar 12.
The current study compares the measures of sleep quality and intensity of insomnia based on the clustering analysis of variables including dysfunctional beliefs and attitudes about sleep, experiential avoidance, personality traits of neuroticism, and complications with emotion regulation among the individuals struck by an earthquake in Kermanshah Province.
This study is a cross-sectional study that was carried out among earthquake victims of Kermanshah Province (western Iran) in 2017. Data were gathered starting 10 days after the earthquake and lasted for 2 weeks; of 1,200 standard questionnaires distributed, 1,001 responses were received, and the analysis was performed using 999 participants. The data analysis was carried out using a cluster analysis (K-mean method).
Two clusters were identified, and there is a significant difference between these two clusters in regard to all of the variables. The cluster with higher mean values for the selected variables shows a higher intensity of insomnia and a lower sleep quality.
Considering the current results, it can be concluded that variables of dysfunctional attitudes and beliefs about sleep, experiential avoidance, the personality traits of neuroticism, and complications with emotion regulation are able to identify the clusters where there is a significant difference in regard to sleep quality and the intensity of insomnia. (Disaster Med Public Health Preparedness. 2019;13:745-752).
本研究通过对睡眠功能障碍信念和态度、体验回避、神经质人格特质以及情绪调节障碍等变量进行聚类分析,比较了震后个体的睡眠质量和失眠严重程度的测量结果。
这是一项横断面研究,于 2017 年在伊朗西部克尔曼沙阿省的地震灾民中进行。数据收集始于地震发生后的第 10 天,持续了 2 周;共发放 1200 份标准问卷,收到 1001 份回复,对 999 名参与者进行了分析。采用聚类分析(K-均值法)进行数据分析。
确定了两个聚类,这两个聚类在所有变量上均存在显著差异。所选变量的平均值较高的聚类表明失眠严重程度更高,睡眠质量更低。
考虑到目前的结果,可以得出结论,睡眠功能障碍信念和态度、体验回避、神经质人格特质以及情绪调节障碍等变量能够识别出在睡眠质量和失眠严重程度方面存在显著差异的聚类。(灾害医学与救援(电子版). 2019;13:745-752)。