Nariman Ghader-Supporting Information files-Study Data Set .xlsx

The data collection instrument used in this study was composed of three sections. Firstly, a detailed participant information sheet and an informed consent form were mandatory fields to be completed before participants had access to the anonymous questionnaire. Secondly, parents were asked to respond to 26 questions which included family sociodemographic data as well as information on the student’s general health status, experience with COVID-19 infection, school learning, and mental health-related behaviors. Thirdly, students were also requested to answer a series of 8 questions that explored their feelings and their current mental health status using a collection of standardized scales (MFQ-Child self-report, SCARED-Child Version, and CRIES). Data were analyzed using IBM SPSS Statistics for Windows version 26 (IBM Corp., Armonk, N.Y., USA). The number of submitted questionnaires was 3762. However, post-data cleaning, the number was reduced to 3745. Mean and standard deviation (SD) were calculated for continuous variables while proportions (%) and frequencies (n) were reported for categorical variables. A multivariate analysis was conducted to examine the associations between mental illness symptoms and related factors by using the Pearson’s product-moment correlation coefficient test. Multiple linear regression analyses were performed to examine the effects of selected demographic and COVID-19 related factors on students’ mental illness symptoms scores. A <em>P</em>-value &lt; 0.05 was considered statistically significant in all analyses.