Association Between Sleep Disorders and Psychiatric Illnesses: A Cross-Sectional Study | ||||
| Aswan University Medical Journal | ||||
| Article 11, Volume 5, Issue 1, March 2025, Page 92-101 PDF (564.29 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/aumj.2024.346315.1174 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Nemr Othman  1; Heba Ahmed Salem2
| ||||
| 1Psychiatry Department, Faculty of Medicine, Aswan University, Aswan, Egypt | ||||
| 2Chest Department, Faculty of Medicine, Tanta University, Tanta, Egypt | ||||
| Abstract | ||||
| Background: Insomnia is the term used to describe the inadequate sensation, insufficient, or sleep that is not restorative and the most prevalent of all sleep disorders. Objectives: To ascertain the correlation between various psychiatric disorders and sleep disorders. Methodology: This cross-sectional study included 200 psychiatric patients diagnosed using bipolar disorder according to diagnostic and statistical manual of mental disorders (DSM-5). In order to evaluate each patient, an insomnia severity index was implemented, and screening symptoms were implemented to identify sleep disorders. Results: Obesity, marital status, and insomnia status were identified as significant predictors of any sleep disorder in the study of logistic regression. Narcolepsy and parasomnia were the only categories of sleep disorders that were significantly predicted by insomnia status, and all socio-demographic correlates and clinical correlates were insignificant predictors of circadian rhythm disorder. Conclusions: Our study concluded a higher rate insomnia and poor-quality sleep among Psychiatric patients. Insomnia status, obesity, and marital status are significant predictors of any sleep disorder. Insomnia status was a significant predictor of narcolepsy and parasomnia, with no association detected between socio-demographic correlates and clinical correlates for circadian rhythm disorder. | ||||
| Keywords | ||||
| Insomnia; Schizophrenia; Anxiety; Mood Disorder | ||||
|
Statistics Article View: 313 PDF Download: 66 |
||||
