Abstract
By utilizing the scores of academic pressures and mental health indicators (anxiety, stress, depression levels) from different university students in Bangladesh. The present investigation aims to explore association between them. This study will determine if these mental health issues are more prevalent in certain universities and departments, by examining this dataset drawn from a diverse set of schools. These results provide useful information for the design of focused interventions that could help to improve well-being in students. Methods: Using data from this survey, we assessed mental health in a variety of ways. That all in entire system the interacting different universities, departments and academic year was implemented to figure out major factors that causes student towards anxiety stress or how much. The study's findings will help to identify the roots of poor mental health in students and inform interventions tailored for student well-being. It aims for meaningful meta-analytic conclusions and implications to policy makers as well university administrators regarding various student populations around the world; emphasizing specialized mental health support systems should be designed according to distinct issues met by students in each country.
Original language | English |
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Title of host publication | 2024 2nd International Conference on Computing and Data Analytics (ICCDA) |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 12 Nov 2024 |
Event | 2nd International Conference on Computing and Data Analytics (ICCDA) - University of Technology and Applied Sciences (UTAS), Muscat, Oman Duration: 12 Nov 2024 → 13 Nov 2024 https://iccda-24.utas.edu.om/ |
Conference
Conference | 2nd International Conference on Computing and Data Analytics (ICCDA) |
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Abbreviated title | ICCDA |
Country/Territory | Oman |
City | Muscat |
Period | 12/11/24 → 13/11/24 |
Internet address |