Predictive Power of Job Satisfaction by Sleep Quality and Morningness /Eveningness Chronotypes in Nurses of Educational Hospitals in Urmia 2019

Abstract

Introduction: Nurses' job satisfaction is a serious issue for health care systems so that decreased job satisfaction can cause problems for nurses and health systems. Job satisfaction can be affected by sleep quality and the morningness- eveningness preference (chronotypes) of nurses. The present study aimed to determine the predictive power of job satisfaction by sleep quality and morningness-eveningness chronotypes of nurses working in Urmia teaching hospitals in 2020.
 Methods: A total of 327 nurses working in teaching hospitals affiliated to Urmia University of Medical Sciences were enrolled in the study. Sampling was conducted using simple random method. Data were collected using Demographic information questionnaires, Pittsburgh Sleep Quality Index, Minnesota Satisfaction Questionnaire, and Composite Scale of Morningness. Data were analyzed using descriptive statistics, measures of central tendency, Pearson correlation coefficient, independent samples t-test, two-way ANOVA, and linear regression analysis. All statistical analysis were conducted using SPSS software version 16.0 (SPSS Inc., Chicago, Ill., USA).
 Results: The results of linear regression analysis and Pearson correlation coefficient indicated that there is a significant correlation between the job satisfaction and the sleep quality in nurses as an improvement in sleep quality leads to higher job satisfaction (P <0.01) and the sleep quality is one of the predictors of job satisfaction (P = 0.002). However, there was no significant correlation between the nurses’ job satisfaction and their morningness-eveningness chronotypes (P> 0.01).
 Conclusion: Nurses with higher levels of sleep quality have higher job satisfaction, although the morningness-eveningness chronotypes of nurses have no significant effect on their job satisfaction.