Key points are not available for this paper at this time.
Research in assessing the Mental Health Problems (MHPs), e.g., stress, anxiety, and depression of university students has had much interest worldwide for the last decade. This article provides a large and comprehensive dataset concerning the MHPs of 2028 students from 15 top-ranked universities in Bangladesh, including 9 government/public universities and 6 private universities. To collect the data, the GAD-7 (for Anxiety), PSS-10 (for Stress), and PHQ-9 (for Depression) models are adopted to reflect equivalent academic perspectives. Additionally, student sociodemographic data are collected. The adoption of these three models are done by a team of five professors and a student psychologist to best capture the academic and socio-demographic factors that influence MHPs among university students. To conduct the survey google form is developed and circulated among the 15 faculty representatives from the participating universities who further circulated and conducted the survey with the students. Collected data is evaluated to ensure the sufficiency of sample size, and internal consistency and reliability of the response. Furthermore, the levels of anxiety, stress, and depression are calculated using the data to demonstrate its' applicability. This dataset can be used to measure the trajectory of students’ the mental and psychosocial stressors, to adopt required mental health and counseling services, and to conduct data intensive Machine Learning (ML) model development to predictive MPH assessment.
Syeed et al. (Thu,) studied this question.