Article In Press | Published on: February 16, 2026
Volume: 3, Issue: 1
1. Intern Doctor, GMERS Medical College Gotri, Vadodara.
2. Assistant professor, Department of Medicine, GMERS Medical College Gotri, Vadodara.
Corresponding Author: Mayank Dhalani, Intern Doctor, GMERS Medical College Gotri, Vadodara.
Citation: D. Mayank, P. Shrujal, S. Ashka, H. Deesha, R. Raj. (2026). Understanding Sleep and Depression in Post-Myocardial Infarction Patients: A Tertiary Care Study, Journal of Medical Research and Clinical Case Reports, RPC Publishers, 3(1).
Copyright: : © 2026 Mayank Dhalani, this is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Background: Cardiovascular diseases are one of the leading causes of mortality and morbidity worldwide, with being the leading cause of death globally, taking an estimated 17.9 million lives each year. This study aimed to examine the sleep quality and prevalence of depression in post-myocardial infarction patients attending medicine outpatient clinics of tertiary care in western Gujarat.
Method: After obtaining institutional ethical clearance, a total 80 number of patients with myocardial infarction were registered. A descriptive cross-sectional design was done to collect data from patients at least 4 weeks post myocardial infarction diagnosis and receiving follow-up care in the outpatient clinic. The Pittsburgh Sleep Quality Index and Patient Health Questionnaire-9 assessed sleep quality and depressive symptoms, respectively.
Results: Maximum patients had mild to moderate difficulty in sleep. The significant predictors of poor sleep quality were diabetes mellitus and depression. There was no significant association found between gender, body mass index, and addiction.
Conclusion: The study concluded that the sleep quality of post-myocardial infarction patients was mildly affected with minimal to mild depression, while association for body mass index was expected but not found to be significant.
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