Anxiety, Depression, and Predictors amongst Iranian Students Aged 8 to 18 Years during the COVID-19 Outbreak First Peak
Mental health among adolescents during COVID 19 outbreak
Objective: This study aimed to assess anxiety and depression during the COVID-19 outbreak among students aged 8 to 18 years and to determine related demographic and other related factors.
Method: A descriptive and analytical cross sectional study was conducted through web-based data collection which included 348 students aged 8 to 18 years in the state of Mazandaran, Iran during the first peak of COVID-19. Demographic and Revised Children's Anxiety and Depression Scale (RCADS-P) questionnaires were used to collect the data. The statistical tests including independent sample t test, ANOVA as well as linear regression were employed.
Results: The average age of the subjects was reported to be 12.2 ± 3.59 years. Age, father’s occupation, following COVID-19 related news, and also nervousness related to infection were predictors of anxiety (11%). Moreover, age, mother’s occupation, family communication and also the safety protocols practiced by the family were found to be predictors of depression in students (17%). A significant relationship was also found between the effect of quarantine on family communication and the anxiety and depression in students (P < 0.001).
Conclusion: Demographic characteristics affect student mental health during the COVID-19 outbreak. Moreover, family preventive protocols can predict depression in students aged 8 to 18 years. Better preventive precautions encourage less anxiety and depression.
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|Issue||Vol 17 No 2 (2022)|
|Anxiety COVID-19 Depression Outbreaks Students|
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