Mon, Dec 23, 2024
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Abdurrahman Charkazi1 
, Abdolhalim Rajabi2 , Sakineh Begum Kazemi2 , Maryam Ahmadi-Livani2 , Rahman Berdi Ozouni-Davaji * 3
, Abdolhalim Rajabi2 , Sakineh Begum Kazemi2 , Maryam Ahmadi-Livani2 , Rahman Berdi Ozouni-Davaji * 3
1- Environmental Health Research Center, Golestan University of Medical Sciences, Gorgan, Iran
2- Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran
3- Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran ,davajirahman@gmail.com
2- Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran
3- Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran ,
Abstract: (13 Views)
Background: The present study aimed to examine anxiety, symptoms of depression, and sleep quality as well as factors affecting these variables among involved hospital personnel during COVID-19 pandemic in Golestan province, Iran.
Methods: In this descriptive-analytical cross-sectional study, 580 medical personnel involved in response to COVID-19 pandemic in Golestan province’s hospitals were selected using random sampling technique and completed online questionnaires of anxiety, sleep quality, and depression via Telegram and WhatsApp social networks. The collected data were imported to Stata software version 12 and analyzed using descriptive and analytical statistics.
Results: Among the participants (n=580) with the mean age of 35.72 ± 8.39 years, there were 175 males (30.17%). The prevalence rates of anxiety, symptoms of depression, and low sleep quality were 50.52%, 28.10%, and 71.03%, respectively. There was no significant difference between men and women in terms of depression and sleep quality; however, the level of anxiety (54.81%) was significantly higher in women than men (40.57%) (p=0.002). Moreover, no significant difference was observed with regard to the prevalence of anxiety between the age groups of <35 years and >35 years; however, 76.66% of the participants had significantly low sleep quality (p=0.007) in the age group of >35 years. Multivariate logistic regression analysis revealed the higher likelihood of anxiety (OR = 1.97; CI 95%: 1.27-3.04) and symptoms of depression (OR = 1.75; CI 95%: 1.06-2.90). It was also found out that the perceived threat had a significant effect on anxiety (OR = 1.53; CI 95%: 1.32-1.76); however, no factor significantly affected sleep quality (p> 0.05).
Conclusion: Low sleep quality, anxiety, and symptoms of depression were the most common psychological problems among the healthcare workers involved in the fight against COVID-19 pandemic, respectively. Accordingly, some psychological interventions should be designed and implemented to improve mental health among these individuals, especially the female personnel.
Methods: In this descriptive-analytical cross-sectional study, 580 medical personnel involved in response to COVID-19 pandemic in Golestan province’s hospitals were selected using random sampling technique and completed online questionnaires of anxiety, sleep quality, and depression via Telegram and WhatsApp social networks. The collected data were imported to Stata software version 12 and analyzed using descriptive and analytical statistics.
Results: Among the participants (n=580) with the mean age of 35.72 ± 8.39 years, there were 175 males (30.17%). The prevalence rates of anxiety, symptoms of depression, and low sleep quality were 50.52%, 28.10%, and 71.03%, respectively. There was no significant difference between men and women in terms of depression and sleep quality; however, the level of anxiety (54.81%) was significantly higher in women than men (40.57%) (p=0.002). Moreover, no significant difference was observed with regard to the prevalence of anxiety between the age groups of <35 years and >35 years; however, 76.66% of the participants had significantly low sleep quality (p=0.007) in the age group of >35 years. Multivariate logistic regression analysis revealed the higher likelihood of anxiety (OR = 1.97; CI 95%: 1.27-3.04) and symptoms of depression (OR = 1.75; CI 95%: 1.06-2.90). It was also found out that the perceived threat had a significant effect on anxiety (OR = 1.53; CI 95%: 1.32-1.76); however, no factor significantly affected sleep quality (p> 0.05).
Conclusion: Low sleep quality, anxiety, and symptoms of depression were the most common psychological problems among the healthcare workers involved in the fight against COVID-19 pandemic, respectively. Accordingly, some psychological interventions should be designed and implemented to improve mental health among these individuals, especially the female personnel.
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