Al-Mamun Firoj, Abdullah Al Mamun, ALmerab Moneerah Mohammad, Al Mamun Md, Mamun Mohammed A
CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Sci Rep. 2024 Sep 16;14(1):21590. doi: 10.1038/s41598-024-72235-z.
This study focuses on Bangladeshi university entrance test-taking students mental health problems and explores the geographical distribution of these problems using GIS technique. A cross-sectional survey was conducted among 1523 university entrance test-taking students. Data were collected on participants' socio-demographic characteristics, COVID-19-related factors, admission tests, depression, and anxiety. Chi-square tests and logistic regression were performed using SPSS software. GIS mapping was used to visualize the distribution of mental health problems across districts using ArcGIS. The study found that the prevalence rates of depression and anxiety among university entrance examinees were 53.8% and 33.2%, respectively. Males exhibited higher rates of depression and anxiety compared to females, while repeat test-taking students were more susceptible to these mental health issues compared to first-time test-takers. Factors such as urban residence, personal/familial COVID-19 infections, and COVID-19 deaths in close relationships were associated with increased mental health problems. District-based distribution showed no significant variation in depression, but anxiety varied significantly. Post-hoc GIS analysis revealed variations in the distribution of depression and anxiety among males, as well as variations in anxiety distribution based on student status across districts. This study emphasizes the high prevalence of depression and anxiety among university entrance examinees, emphasizing the importance of addressing mental health risks in this population. It also suggests the need for reforms in the university entrance test-taking system to reduce psychological problems and advocates for a more inclusive approach to student admissions to alleviate mental health burdens.
本研究聚焦于参加孟加拉国大学入学考试的学生的心理健康问题，并运用地理信息系统（GIS）技术探究这些问题的地理分布情况。对1523名参加大学入学考试的学生进行了横断面调查。收集了参与者的社会人口学特征、与新冠疫情相关的因素、入学考试情况、抑郁和焦虑等数据。使用SPSS软件进行卡方检验和逻辑回归分析。利用ArcGIS软件通过GIS绘图来直观呈现各地区心理健康问题的分布情况。研究发现，大学入学考生中抑郁和焦虑的患病率分别为53.8%和33.2%。与女性相比，男性的抑郁和焦虑患病率更高，而与首次参加考试的学生相比，复读考生更容易出现这些心理健康问题。城市居住、个人/家庭新冠病毒感染以及亲密关系中的新冠病毒死亡等因素与心理健康问题增加有关。基于地区的分布显示，抑郁方面无显著差异，但焦虑存在显著差异。事后GIS分析揭示了男性中抑郁和焦虑分布的差异，以及不同地区基于学生身份的焦虑分布差异。本研究强调了大学入学考生中抑郁和焦虑的高患病率，凸显了应对该人群心理健康风险的重要性。研究还建议对大学入学考试制度进行改革以减少心理问题，并倡导采取更具包容性的学生录取方式来减轻心理健康负担。
