The Relationship between the Duration of Online Learning during the COVID-19 Pandemic and Symptoms of Depression in Medical Students of Pelita Harapan University: A Cross Sectional Study
Abstract
Introduction: The COVID-19 outbreak that started in Wuhan, China in December 2019 has become a global pandemic. The existence of the COVID-19 pandemic has led to a change in the university learning system into online learning. Online learning that occurs during the COVID-19 pandemic can have an indirect impact on the mental health of students, one of which is depression. Depression that occurs in online learning can be affected by the duration of online learning.
Aim: This study is conducted to determine the relationship between online learning during the COVID-19 pandemic and symptoms of depression in medical students of Pelita Harapan University.
Method: This study used a cross-sectional study to be conducted on 161 students of the Faculty of Medicine, University of Pelita Harapan. Sampling will use the purposive sampling method. Collecting data using a questionnaire about the duration of online learning and using the Patient Health Questionnaire-9 (PHQ-9) for depression symptoms. The results of this study were analyzed using chi-square analysis with data processing using SPSS 26.
Results: There were 161 samples that matched the inclusion and exclusion criteria of this study. The majority of the sample was female (52.8%), came from the 2018 class (46.0%), 20 years old (50.3%), residing outside the Greater Jakarta area (57.8%), doing more online learning than 6 hours (57.8%) and experienced mild depression (53.4%). The results showed that there was no significant relationship between the duration of online learning and symptoms of depression (OR 1.273; 95%CI (0.669-2.421); p = 0.565).
Conclusion: There was no significant relationship between the duration of online learning and symptoms of depression. Further studies with large samples and randomized sampling are required to minimize biases in future studies.
Keywords
DOI: http://dx.doi.org/10.19166/med.v9i2.4705
Full Text:
PDFReferences
1. Zhai P, Ding Y, Wu X, Long J, Zhong Y, Li Y. The epidemiology, diagnosis, and treatment of COVID-19. International Journal of Antimicrobial Agents. 2020; 55(5): 105955. Available from: https://doi.org/10.1016/j.ijantimicag.2020.105955
2. RI O. Virus Corona dan Pembatasan Pelayanan Publik [Internet]. Ombudsman.go.id. 2020 [cited 04 September 2020]. Available from: https://ombudsman.go.id/artikel/r/artikel--virus-corona-dan-pembatasan-pelayanan-publik
3. Sadikin A, Hamidah A. Pembelajaran Daring di Tengah Wabah Covid-19. BIODIK. 2020; 6(2): 109-119. Available from: https://www.online-journal.unja.ac.id/biodik/article/view/9759/5665
4. Sandhu P, de Wolf M. The impact of COVID-19 on the undergraduate medical curriculum.Medical Education Online. 2020; 25(1): 1764740. Available from: https://doi.org/10.1080/10872981.2020.1764740
5. Anderson T. Theory and Practice of Online Learning. 2nd ed. Alberta: AU Press; 2008.
6. Fang D, Young C, Golshan S, Fellows I, Moutier C, Zisook S. Depression in Premedical Undergraduates. The Primary Care Companion to The Journal of Clinical Psychiatry. 2010. Available from: https://doi.org/10.4088/PCC.10m00958blu
7. Rotenstein L, Ramos M, Torre M, Segal J, Peluso M, Guille C, et al. Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students. JAMA. 2016; 316(21): 2214. Available from: https://doi.org/10.1001/jama.2016.17324
8. Madhav K, Sherchand S, Sherchan S. Association between screen time and depression among US adults. Preventive Medicine Reports. 2017; 8: 67-71. Available from: https://doi.org/10.1016/j.pmedr.2017.08.005
9. Zhou J, Yuan X, Qi H, Liu R, Li Y, Huang H, et al. Prevalence of depression and its correlative factors among female adolescents in China during the coronavirus disease 2019 outbreak. Globalization and Health. 2020; 16(1). Available from: https://doi.org/10.1186/s12992-020-00601-3
10. Watnaya A, Muiz M, Nani Sumarni, Mansyur A, Zaqiah Q. Pengaruh Teknologi Pembelajaran Kuliah Online di Era COVID-19 dan Dampaknya Terhadap Mental Mahasiswa. EduTeach: Jurnal Edukasi dan Teknologi Pembelajaran. 2020; 1(2): 153-165. Available from: https://doi.org/10.37859/eduteach.v1i2.1987
11. The PHQ-9 [Internet]. [cited 2020 Sep 12]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1495268/
12. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013 https://doi.org/10.1176/appi.books.9780890425596
13. Carnegie Mellon University. PSS - Laboratory for the Study of Stress, Immunity, and Disease -Department of Psychology - Carnegie Mellon University [Internet]. cmu.edu. 2020 [cited 30 October 2020]. Available from: https://www.cmu.edu/dietrich/psychology/stress-immunity-disease-lab/scales/html/pss.html
14. Chi X, Becker B, Yu Q, Willeit P, Jiao C, Huang L, et al. Prevalence and Psychosocial Correlates of Mental Health Outcomes Among Chinese College Students During the Coronavirus Disease (COVID-19) Pandemic. Front Psychiatry [Internet]. 2020 Aug 7 [cited 2020 Sep 14]; 11. Available from: https://doi.org/10.3389/fpsyt.2020.00803
15. Liu J, Zhu Q, Fan W, Makamure J, Zheng C, Wang J. Online Mental Health Survey in a Medical College in China During the COVID-19 Outbreak. Front Psychiatry [Internet]. 2020 May 13 [cited 2020 Sep 14]; 11. Available from: https://doi.org/10.3389/fpsyt.2020.00459
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Alexander Erick Purnomo, Dwi Savitri Rivami
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
MEDICINUS is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Copyright © Fakultas Kedokteran | Universitas Pelita Harapan | Lippo Karawaci, Tangerang, Indonesia, 15811 . All rights reserved. p-ISSN 1978-3094 | e-ISSN 2622-6995