1Medicine, Quran and Hadith Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran 2Health and Wellness Research Group, Department of Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE 3Kanad Hospital, Al-Ain, UAE 4Department of Medicine, University of Toronto, Toronto, Canada 5Department of Pediatrics, Al Qassimi Women’s and Children’s Hospital-Emirates Health Services, Al-Ain, UAE 6Internal Medicine, SEHA, Abu Dhabi, UAE
Corresponding Author:
Alexander Kieu ,Tel: +971-37137425, Email: akieu@uaeu.ac.ae
Received: April 22, 2024. Revised: May 31, 2024. Accepted: July 26, 2024.
Abstract
Background and Objective This study investigates the impact of sleep, well-being, and optimism on self-rated health among healthcare professionals in the United Arab Emirates (UAE).
Methods A cross-sectional approach was employed, using Pearson correlation and linear regression to analyze the relationship between sleep, well-being, optimism, and self-rated health among health care professioansl in the UAE.
Results The age range of the participants was between 20–65 years, and they were predominantly female (68.7%). Significant predictors of self-rated health included well-being (p < 0.001), optimism (p = 0.004), and sleep circadian regularity (p = 0.009), explaining 10% of the variance in self-rated health (R2 = 0.103). Among the participants, 84.1% worked in public hospitals, and 15.9% in private hospitals. Regarding body mass index, 43.9% were of normal weight, 4.8% underweight, 32.4% overweight, and 18.9% obese. Males reported higher well-being and sleep continuity scores than females.
Conclusions The study highlights the critical role of sleep health, well-being, and optimism in shaping healthcare professionals’ self-rated health. These results suggest that improving these mental health factors can positively influence healthcare professionals’ self-rated health, potentially enhancing their performance and patient care quality. Further research is needed to identify additional determinants and to establish causal relationships through longitudinal studies.
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