The Association between Depression, Daytime Sleepiness, Chronotype and Fatigue among the Students

Soni, Nishi and Jaiswal, Saurabh and Kumar, Sudhir and Malik, Shalie and Rani, Sangeeta (2024) The Association between Depression, Daytime Sleepiness, Chronotype and Fatigue among the Students. Asian Journal of Medicine and Health, 22 (7). pp. 204-213. ISSN 2456-8414

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Abstract

Fatigue and excessive daytime sleepiness (EDS) are frequently conflated in everyday life, but they are separate concepts with distinct symptoms. Despite their potential to coexist or occur independently, their interplay with depression remains largely unexplored. This study investigates the complex relationship between fatigue, excessive daytime sleepiness (EDS), and depression among students, aiming to unravel their relative associations. A cross-sectional survey of Indian school students (N=450) aged 11 to 20 (15.2±1.46) was analysed. The study used self-reported measures such as the Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and the Center for Epidemiologic Studies Depression Scale (CES-D). The findings revealed significant associations between depression and various combinations of sleepiness and fatigue, with the E+F+ group showing the strongest correlation. Depression was significantly higher in excessive daytime sleepers (N= 165, 69.9%) (P < 0.001) and fatigue (N= 167, 70.8%) (p < 0.001). Depression was found positively correlated with fatigue (r =0.332, p < 0.001 and daytime sleepiness (r=0.213, p<0.001). Chronotype was found negatively correlated with fatigue (r=-0.124, p<0.001), daytime sleepiness (r=-0.105, p<0.05), and depression (r=-0.198, p<0.001). These findings underscore a significant association (p<0.001) between depression and the presence of both excessive daytime sleepiness and fatigue. This revelation demands a nuanced approach to mental health interventions, recognizing the shared underlying mechanisms and advocating for comprehensive strategies that address these intertwined facets of student well-being.

Item Type: Article
Subjects: GO for STM > Medical Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 28 Jun 2024 06:05
Last Modified: 28 Jun 2024 06:05
URI: http://archive.article4submit.com/id/eprint/2902

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