Yasemin Karaaslan1, Oguzhan Mete2, Mehmet Karadag3, Derya Ozer Kaya4, Seyda Toprak Celenay5. 1. Beykent University, School of Health Sciences, Department of Physiotherapy and Rehabilitation, Istanbul, Turkey. 2. Ankara Yildirim Beyazit University, Health Sciences Faculty, Department of Physiotherapy and Rehabilitation, Ankara, Turkey. 3. Hatay Mustafa Kemal University, Medicine Faculty, Department of Biostatistics, Hatay, Turkey. 4. Izmir Katip Celebi University, Health Sciences Faculty, Department of Physiotherapy and Rehabilitation, Izmir, Turkey. 5. Ankara Yildirim Beyazit University, Health Sciences Faculty, Department of Physiotherapy and Rehabilitation, Ankara, Turkey. Electronic address: sydtoprak@hotmail.com.
Abstract
BACKGROUND: The study aimed to investigate potential coronaphobia-related factors in adults and to assess the relationship between coronaphobia and sleep quality. METHODS: This cross-sectional study was conducted in 1262 participants. The Covid-19 Phobia Scale (C19P-S) and Jenkins Sleep Scale (JSS) were used to measure outcomes. Univariate and multivariate logistic regression analyses were constructed to determine risk factors for coronaphobia. Pearson correlation coefficient was used to assess the correlation between C19P-S and JSS. RESULTS: The following risk factors were found to be associated with coronaphobia: gender, marital status, presence of chronic disease, staying home, and sleep disturbances. Female gender (OR = 2.23 and OR = 2.12), being married (OR = 1.31 and OR = 1.45), chronic disease status (OR = 1.39 and OR = 1.27), staying home (OR = 1.72 and OR = 1.35) and sleep disturbances (OR = 2.63 and OR = 2.49) were found to be associated with the likelihood of having a higher coronaphobia score (p < 0.05). Weak positive correlations were found between C19P-S and its subscales and JSS scores (p < 0.001). CONCLUSIONS: Female gender, being married, having chronic diseases, staying home, and having sleep disturbances were found to be risk factors for having high coronaphobia scores. Moreover, the severity of coronaphobia was associated with sleep disturbances. These results should be considered in the management of coronaphobia.
BACKGROUND: The study aimed to investigate potential coronaphobia-related factors in adults and to assess the relationship between coronaphobia and sleep quality. METHODS: This cross-sectional study was conducted in 1262 participants. The Covid-19 Phobia Scale (C19P-S) and Jenkins Sleep Scale (JSS) were used to measure outcomes. Univariate and multivariate logistic regression analyses were constructed to determine risk factors for coronaphobia. Pearson correlation coefficient was used to assess the correlation between C19P-S and JSS. RESULTS: The following risk factors were found to be associated with coronaphobia: gender, marital status, presence of chronic disease, staying home, and sleep disturbances. Female gender (OR = 2.23 and OR = 2.12), being married (OR = 1.31 and OR = 1.45), chronic disease status (OR = 1.39 and OR = 1.27), staying home (OR = 1.72 and OR = 1.35) and sleep disturbances (OR = 2.63 and OR = 2.49) were found to be associated with the likelihood of having a higher coronaphobia score (p < 0.05). Weak positive correlations were found between C19P-S and its subscales and JSS scores (p < 0.001). CONCLUSIONS: Female gender, being married, having chronic diseases, staying home, and having sleep disturbances were found to be risk factors for having high coronaphobia scores. Moreover, the severity of coronaphobia was associated with sleep disturbances. These results should be considered in the management of coronaphobia.