Prevalence and Associated Factors of Quality of Life and Sleep Quality among Personnel in a Community Hospital, Ubon Ratchathani Province
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Abstract
Objective: To investigate the prevalence and factors associated with quality of life and sleep quality among personnel in a community hospital in Ubon Ratchathani Province.
Methods: This is a cross-sectional descriptive study conducted among personnel who had been working in a community hospital in Ubon Ratchathani for at least three months between December 2024 and February 2025. Data were collected using a general information questionnaire, the Thai version of the World Health Organization Quality of Life –Brief (WHOQOL-BREF-THAI), and the Thai version of the Pittsburgh Sleep Quality Index (PSQI). Factors associated with quality of life and sleep quality were analyzed using multivariable linear regression and multivariable logistic regression.
Results: The study included 182 participants, mostly female (72%), with an average age of 35.5 years. The majority worked 9 - 16 hours per day (51.6%), with occupational groups being clinical core (40.7%) and clinical allied (40.7%). Most participants perceived their work environment as good (74.2%) and reported a moderate level of quality of life (54.9%). The prevalence of poor sleep quality was 50.5% (n = 92). Factors significantly associated with quality of life (p < 0.05) were exercise (coefficient = 4.87, 95% CI = 0.96 - 8.77, p = 0.015), caffeine consumption (coefficient = 4.34, 95% CI = 0.24 - 8.45, p = 0.038), and a good work environment (coefficient = 6.93, 95% CI = 2.50 - 11.37, p = 0.002), while high work-related fatigue was associated with lower quality of life (coefficient = -7.04, 95% CI = -12.69 to -1.39, p = 0.015). Factors significantly associated with poor sleep quality included increasing age (AOR = 1.15, 95% CI = 1.03 - 1.29, p = 0.016), working in the clinical core occupational group (AOR = 4.40, 95% CI = 1.39 - 13.96, p = 0.012), and working 9 - 16 hours per day (AOR = 2.73, 95% CI = 1.16 - 6.41, p = 0.021). Conversely, the perception of a good work environment was associated with 60% lower odds of poor sleep quality (AOR = 0.40, 95% CI = 0.16 - 1.00, p = 0.049).
Conclusion: Exercise, caffeine consumption, and a good work environment were associated with a higher quality of life, whereas high work-related fatigue was associated with a lower in quality of life. Work-related factors (occupational group and working hours) and personal factors (age) were associated with increased odds of poor sleep quality. A good work environment was significantly associated with a higher quality of life and lower odds of poor sleep quality among hospital personnel.
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