Prevalence of Psychological Distress among the University Students: Logistic Regression Analysis with Machine Learning Algorithm
DOI:
https://doi.org/10.69728/jst.v11.78Keywords:
Mental health, DASS-21, Logistic regressionAbstract
The significance of mental health is paramount for the future achievements of students. The prolonged closure of educational institutions as a result of COVID-19 has notably impacted the mental health status of students. This study aims to explore the prevalence of psychological distress among university students and classify them using a machine learning algorithm. A cross-sectional study incorporating a convenience sample (n=435) was carried out among university students. The DASS-21 scale, along with a self-administered questionnaire, is utilized to quantify the intensity of psychological distress. The collected data was analyzed by univariate, bivariate, multivariate analysis, and machine learning (ML) approach. The prevalence of moderate to extremely severe depression, anxiety, and stress was 43.2%, 72.7%, and 32.7%, respectively. Logistics regression shows rurality, lower academic performance, fear of academic delay, not performing physical activities, having suicidal thoughts, and being in a relationship contribute to the risk of developing a higher level of psychological distress. The performance of correctly predicting the models for depression, anxiety, and stress was 75.36%, 84.18%, and 71.33%, respectively. The COVID-19 pandemic has the potential to affect students' mental well-being significantly. The findings suggest the importance of taking steps to recognize students who may be experiencing psychological distress and ensuring they receive appropriate support. The results of this study may provide valuable insights for future research and the development of psychological distress intervention programs.
References
Ahammed, B., Jahan, N., Seddeque, A., Hossain, M. T., Khan, B., Mamun, M. A., & Islam, M. N. (2021). Exploring the association between mental health and subjective sleep quality during the COVID-19 pandemic among Bangladeshi university students. Heliyon, 7(5), e07082. https://doi.org/10.1016/j.heliyon.2021.e07082
Ahmed, M. (2020, July 16). When and how can schools reopen?. The Daily Star. Retrieved June 3, 2022. https://www.thedailystar.net/opinion/education/news/when-and-how-can-schools-reopen-1930837
Ahorsu, D. K., Imani, V., Lin, C. Y., Timpka, T., Broström, A., Updegraff, J. A., ... &Pakpour, A. H. (2020). Associations between fear of COVID-19, mental health, and preventive behaviours across pregnant women and husbands: an actor-partner interdependence modelling. International Journal of Mental Health and Addiction, 1-15.https://doi.org/10.1007/s11469-020-00340-x
Islam, M. A., Barna, S. D., Raihan, H., Khan, M. N. A., & Hossain, M. T. (2020). Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PloS one, 15(8), e0238162.https://doi.org/10.1371/journal.pone.0238162
Alim, S. A. H. M., Rabbani, M. G., Karim, E., Mullick, M. S. I., Al Mamun, A., & Khan, M. Z. R. (2015). Assessment of depression, anxiety and stress among first year MBBS students of a public medical college, Bangladesh. Bangladesh Journal of Psychiatry, 29(1), 23-29. https://doi.org/10.3329/bjpsy.v29i1.32748
Al-Naggar, R. A., & Al-Naggar, D. H. (2012). Prevalence and associated factors of emotional disorder among Malaysian University students. International Journal of Collaborative Research on Internal Medicine & Public Health, 4(7), 0-0.
Beiter, R., Nash, R., McCrady, M., Rhoades, D., Linscomb, M., Clarahan, M., & Sammut, S. (2015). The prevalence and correlates of depression, anxiety, and stress in a sample of college students. Journal of affective disorders, 173, 90-96. https://doi.org/10.1016/j.jad.2014.10.054
Bruffaerts, R., Mortier, P., Kiekens, G., Auerbach, R. P., Cuijpers, P., Demyttenaere, K., ... & Kessler, R. C. (2018). Mental health problems in college freshmen: Prevalence and academic functioning. Journal of affective disorders, 225, 97-103. https://doi.org/10.1016/j.jad.2017.07.044
Cava, M. A., Fay, K. E., Beanlands, H. J., McCay, E. A., & Wignall, R. (2005). The experience of quarantine for individuals affected by SARS in Toronto. Public health nursing, 22(5), 398-406.https://doi.org/10.1111/j.0737-1209.2005.220504.x
Chen, L., & Yuan, X. (2020). China’s ongoing battle against the coronavirus: Why did the lockdown strategy work well? Socio-Ecological Practice Research, 2(2), 175–180. https://doi.org/10.1007/s42532-020-00048-1
Goyal, K., Chauhan, P., Chhikara, K., Gupta, P., & Singh, M. P. (2020). Fear of COVID 2019: First suicidal case in India !Asian Journal of Psychiatry, 49, Article 101989. https://doi.org/10.1016/j.ajp.2020.101989
Gritsenko, V., Skugarevsky, O., Konstantinov, V., Khamenka, N., Marinova, T., Reznik, A., &Isralowitz, R. (2021). COVID 19 fear, stress, anxiety, and substance use among Russian and Belarusian university students. International journal of mental health and addiction, 19, 2362-2368.https://doi.org/10.1007/s11469-020-00330-z
Hajimiri, K., Hosseinzadeh-Shanjani, Z., Vakili, M. M., Jafari, F., & Rostami, B. (2021). Investigation of Depression, Anxiety, and Stress and their Determinants of University Students during an Early Stage of COVID19 Pandemic, Zanjan, Iran 2020. Journal of Human Environment and Health Promotion, 7(3), 159-164. https://doi.org/10.52547/jhehp.7.3.159
Hamaideh, S. H., Al‐Modallal, H., Tanash, M. A., & Hamdan‐Mansour3, A. (2022). Depression, anxiety and stress among undergraduate students during COVID‐19 outbreak and" home‐quarantine". Nursing Open, 9(2), 1423-1431. https://doi.org/10.1002/nop2.918
Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., &Styra, R. (2004). SARS control and psychological effects of quarantine, Toronto, Canada. Emerging infectious diseases, 10(7), 1206. https://doi.org/10.3201/eid1007.030703
Hosmer, D. W., Lemeshow, S., & Cook, E. (2000). Applied logistic regression 2nd edition. New York: Jhon Wiley and Sons Inc.
Jasim, M. M. (2020, July 6). Poor, rural DU students still missing out on online classes. The Business Standard. Retrieved June 3, 2022.https://tbsnews.net/bangladesh/education/poor-rural-du-students-still-missing-out-online-classes-102625
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Copyright (c) 2025 Md. Mizanur Rahman, Shenjuti Alam, Samiul Islam, Rupali Sultana, Mashfiqul Huq Chowdhury, Dr. Md. Deluar Jahan Moloy, Arzo Ahmed (Author)
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