Cognitive Load as a Predictor of Depression among Undergraduates in Nigerian Universities
Abstract
In spite of increased mental health care resources at universities, depression rates continue to rise. This study examined cognitive load as a predictor of depression among undergraduate students at Nigerian universities. A correlational survey paradigm was utilized. A total of 1026 first-year students of the Faculty of Education and Pharmaceutical Sciences at the University of Nigeria were included in this study. In the study, 300 undergraduate students [100 males and 200 females] from Nigeria's University of Nigeria were surveyed. The study collected data using the Cognitive Load Questionnaire (CLQ) and Beck's Depression Inventory (BDI). CLQ had a reliability coefficient of 0.93, while BDI had a reliability coefficient of 0.90. Two research assistants administered the instruments to respondents. Simple regression was utilized for the research questions. A Fisher Z-test was used to test hypothesis two, while A linear regression t-test was used to test hypothesis one. In Nigerian universities, cognitive load does not significantly predict depression among undergraduates. Among Nigerian undergraduate students, 2.2% of their depressive symptoms are associated with cognitive load as a result of their gender. Other factors that influence depression among undergraduates in Nigerian universities, such as stress, need to be identified and appropriate measures taken to ameliorate the increasing trend of depression among undergraduates.
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References
Aalbers, G., McNally, R. J., Heeren, A., De Wit, S., & Fried, E. I. (2019). Social media and depression symptoms: A network perspective. Journal of Experimental Psychology: General, 148(8), 1454.
Aqeel, M., Abbas, J., Shuja, K. H., Rehna, T., Ziapour, A., Yousaf, I., & Karamat, T. (2022). The influence of illness perception, anxiety and depression disorders on students mental health during COVID-19 outbreak in Pakistan: a web-based cross-sectional survey. International Journal of Human Rights in Healthcare, 15(1), 17-30.
Cambridge, O. R., Knight, M. J., Mills, N., & Baune, B. T. (2018). The clinical relationship between cognitive impairment and psychosocial functioning in major depressive disorder: A systematic review. Psychiatry research, 269, 157-171.
Cook, A.F., Arora, V.M., Rasinski, K.A., Curlin, F.A., Yoon, J.D. (2014). The prevalence of medical student mistreatment and its association with burnout. Acad Med J Assoc Am Med Coll.;89(5):749–54
Dunn, E.C, Brown, R.C., Dai, Y., Rosand, J., Nugent, N.R., Amstadter, A.B., & Smoller, J.W. (2015). Genetic determinants of depression: recent findings and future directions. Harv Rev Psychiatry; 23(1):1-18.
Fekadu, N., Shibeshi, W., & Engidawork, E. (2017). Major depressive disorder: pathophysiology and clinical management. J Depress Anxiety, 6(1), 255-257.
Frankham, C., Richardson, T., & Maguire, N. (2020). Psychological factors associated with financial hardship and mental health: A systematic review. Clinical psychology review, 77, 101832.
Gvion, Y., & Levi-Belz, Y. (2018). Serious suicide attempts: systematic review of psychological risk factors. Frontiers in psychiatry, 9, 56.
Hawthorne, B. S., Vella-Brodrick, D. A., & Hattie, J. (2019, October). Well-being as a cognitive load reducing agent: a review of the literature. In Frontiers in Education (Vol. 4, p. 121). Frontiers Media SA.
Hinman, N. G. (2018). The Impact of Trait Cognitive Defusion and Cue Elaboration on Chocolate Craving and Cognitive Resources (Doctoral dissertation, Bowling Green State University).
Ibrahim, A.K., Kelly, S.J, Adams, C.E., & Glazebrook, C. (2013). A systematic review of studies of depression Elani, H.W., Allison, P.J., Kumar, R.A., Mancini, L., Lambrou, A., & Bedos, C. A systematic review of stress in dental students. J. Dent Educ.; 78(2):226–42.
Parvin, S. R., Erfan Ahmed, K., & Hossain, M. (2019). Psychotherapy services based on transactional analysis played an important role in the case of depression. Women’s Health and Complications, 2(1), 1-5.
Pedersen, E. R., & Paves, A. P. (2014). Comparing perceived public stigma and personal of mental health treatment seeking in a young adult sample. Psychiatry Research, 219(1), 143–150.
Pillay, N., Ramlall, S., Burns, J.K. (2016). Spirituality, depression and quality of life in medical students in KwaZulu-Natal. South Afr J. Psychiatry. 1 (4); 11- 22.
Platt, B., Waters, A. M., Schulte-Koerne, G., Engelmann, L., & Salemink, E. (2017). A review of cognitive biases in youth depression: attention, interpretation and memory. Cognition and Emotion, 31(3), 462-483.
Salleh, M. R. (2018). The burden of mental illness: An emerging global disaster. Journal of Clinical and Health Sciences, 3(1), 1-8.
Seeram, E. (2019). An overview of correlational research. Radiologic technology, 91(2), 176-179.
Sepp, S., Howard, S. J., Tindall-Ford, S., Agostinho, S., & Paas, F. (2019). Cognitive load theory and human movement: Towards an integrated model of working memory. Educational Psychology Review, 31, 293-317.
Stankovska, G., Memedi, I., & Dimitrovski, D. (2020). Coronavirus COVID-19 disease, mental health and psychosocial support. Society Register, 4(2), 33-48.
Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1-16.
Wathelet, M., Duhem, S., Vaiva, G., Baubet, T., Habran, E., Veerapa, E., ... & D’hondt, F. (2020). Factors associated with mental health disorders among university students in France confined during the COVID-19 pandemic. JAMA network open, 3(10), e2025591-e2025591.
Weerasinghe, T. D., C.K. Batagod, K.A.C. Chandrika & Siriwardans, W.K.C.U. (2012). Prevalence and determinants of stress among undergraduates: A study of public universities in Colombo region. Proceedings of the 7th International Research Conference on Management and Finance, December 14, 2012, University of Colombo, Sri Lanka, pp: 478-492
Zsidó, A. N., Stecina, D. T., Cseh, R., & Hout, M. C. (2022). The effects of task‐irrelevant threatening stimuli on orienting‐and executive attentional processes under cognitive load. British Journal of Psychology, 113(2), 412-433.
Zuckerman, H., Pan, Z., Park, C., Brietzke, E., Musial, N., Shariq, A. S., ... & McIntyre, R. S. (2022). Recognition and treatment of cognitive dysfunction in major depressive disorder. Frontiers in psychiatry, 9, 655.
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