Prediction of Sleep Disorders Based on Demographic Variables and Job Satisfaction in Emergency Department Nurses
DOI:
https://doi.org/10.63053/ijhes.195Keywords:
Sleep Disorder, Job Satisfaction, Emergency Nurses, Sleep Quality, Demographic FactorsAbstract
Background and Objective: Mental health and sleep quality in nurses are of great importance, especially in stressful environments such as the emergency department. This study aimed to predict sleep disorders based on demographic variables (age, gender, marital status, work experience, and education) and job satisfaction in emergency nurses.
Methods: The present study was a correlational study with a predictive method. The statistical population included nurses working in the emergency department of Isfahan hospitals in 2019 ( 100 people) who were selected using a convenience sampling method. Data were collected using the Pittsburgh Sleep Quality Inventory (PSQI), Dunn 's job satisfaction, and demographic information questionnaires. Data analysis was performed using Pearson correlation, multiple regression, and independent t- tests in SPSS -23 software.
Findings: The results showed that job satisfaction had a negative and significant relationship with sleep disorder (R= -0.49 , P=0.001) . Also, age (R = 0.388 , P=0.001) and work experience (R= 0.468 , P=0.001) had a positive relationship with sleep disorder. Regression analysis showed that job satisfaction predicted 24 % of the variance in sleep disorder (P = 0.010 ). Among the demographic variables, only education (bachelor 's degree compared to master 's degree) was a significant predictor of sleep disturbance (P = 0.01) , but gender and marital status did not have a significant effect.
Conclusion: Job satisfaction and education are key factors affecting sleep disorders in emergency nurses. Reducing job stress, improving working conditions, and providing sleep management training, especially for nurses with lower education, can be effective in reducing sleep disorders. It is suggested that organizational interventions be designed to improve job satisfaction and sleep quality in this group of nurses.
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