Psychological distress and sleep quality among Sri Lankan medical students during an economic crisis

• Published in: PloS one Vol. 19; no. 6; p. e0304338
• Main Authors: Liyanage, Guwani, Rajapakshe, D P R W, Wijayaratna, D R, Jayakody, J A I P, Gunaratne, K A M C, Alagiyawanna, A M A D K
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25.06.2024; Public Library of Science (PLoS)
• Subjects: Adult; Analysis; Anxiety; Anxiety - epidemiology; Anxiety - psychology; Bivariate analysis; Chronic illnesses; College students; Contact stresses; Cross-Sectional Studies; Depression - epidemiology; Depression - psychology; Economic crisis; Economic Recession; Education; Family income; Female; Households; Humans; Latency; Male; Medical colleges; Medical students; Mental depression; Pandemics; Prevalence; Psychological Distress; Psychological factors; Psychological research; Psychological stress; Questionnaires; Regression analysis; Regression models; Sleep; Sleep Quality; Social interactions; Social media; Social networks; Sri Lanka - epidemiology; Stress; Stress (Psychology); Stress, Psychological - epidemiology; Students; Students, Medical - psychology; Surveys; Surveys and Questionnaires; Validation studies; Variables; Workloads; Young Adult; Sri Lanka
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0304338

This study examined the evidence of the prevalence of psychological distress and poor sleep among medical students and its associations during an economic crisis. This was a cross-sectional study using an online questionnaire. It included the Depression Anxiety Stress Scales and Pittsburgh Sleep Quality Index (PSQI). This study included medical undergraduates from a large metropolitan university in Sri Lanka. We assessed the prevalence of psychological distress, sleep quality, and factors associated with psychological distress. To evaluate the associations, we used logistic regression. The majority (69.2%) had some form of distress (depression, anxiety or stress), while 23% had distress in all three. Anxiety was the most prevalent (50.7%). Poor sleep quality was reported in 41%. The highest contribution to global PSQI was from sleep latency, duration, and daytime dysfunction subscales. In bivariate analysis, sleep quality was directly related to depression (t245.65 = -6.75, p<0.001)., anxiety (t313.45 = -6.45, p <0.001), and stress (t94.22 = -5.14, p <0.001). In multinomial logistic regression models, sleep quality was independently associated with depression, anxiety and stress. In addition, frequent contact with friends was inversely associated with depression and anxiety. Also, social media use was inversely linked to depression, anxiety and stress. Clinical-year students had lower depression and anxiety than non-clinical students. Engaging in mindfulness activities was inversely associated with depression. However, models explained only a moderate amount of variance (Nagelkerke R-squared values were 0.21, 0.18, and 0.13 for depression, anxiety and stress, respectively). Poor sleep quality and psychological distress are high among the undergraduates. The findings emphasize the importance of addressing sleep quality and psychological wellbeing in medical undergraduates. Further research with larger and more diverse samples is needed for a more comprehensive understanding of the factors associated with psychological distress among undergraduates.