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A Simultaneous Cluster Analysis of Cognitive, Emotional, and Personality Factors and Insomnia and Sleep Quality Among Earthquake Victims

Published online by Cambridge University Press:  12 March 2019

Habibolah Khazaie
Affiliation:
Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
Ali Zakiei*
Affiliation:
Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
Saeid Komasi
Affiliation:
Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
*
Correspondence and reprint requests to Mr Zakiei,Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran (e-mail: zakieiali@yahoo.com).
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Abstract

Objective

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.

Methods

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).

Results

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.

Conclusions

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)

Information

Type
Original Research
Copyright
Copyright © 2019 Society for Disaster Medicine and Public Health, Inc. 
Figure 0

TABLE 1 Sociodemographic Characteristics of Participants Included in the Analyses (n=999)

Figure 1

TABLE 2 Sleep Quality and Insomnia Severity According to Damages

Figure 2

TABLE 3 Initial Cluster Centers and the Mean Values of These Variables Based on the Clusters

Figure 3

TABLE 4 Mean Scores of the Intensity of Insomnia and Sleep Quality for the Two Clusters