The Relationship between Job Satisfaction, Life Satisfaction, and Burnout Levels of Radiology Technicians Working in the Radiology Unit

This descriptive and cross-sectional study aimed to determine the job satisfaction, life satisfaction, and burnout levels of radiology technicians working in different hospitals in Türkiye, to examine the relationships between these variables, and to evaluate the sociodemographic, occupational, and psychosocial factors associated with burnout. The research was conducted online using Google Forms between February 10 and May 26, 2025. A total of 619 radiology technicians participated in the study. Data were collected using a Demographic Information Form, the Job Satisfaction Scale, the Life Satisfaction Scale, and the Burnout Scale Short Form. Descriptive statistics, the independent-samples t-test, one-way analysis of variance, Tukey HSD post hoc test, Pearson correlation, and multiple linear regression were used to analyze the data. Effect sizes were calculated using Cohen’s d for two-group comparisons and eta squared (η²) for comparisons involving more than two groups. Because burnout was the primary dependent variable of the study, multivariate analysis was performed for burnoutonly; job satisfaction and life satisfaction were included in the multivariate model as explanatory variables. The participants’ mean scores for job satisfaction, life satisfaction, and burnout were 3.18 ± 0.71, 18.89 ± 6.05, and 3.66 ± 1.12, respectively. Significant differences were found in some scale scores by gender, education level, income level, work arrangement, and work unit (p < 0.05). A moderate positive correlation was found between job satisfaction and life satisfaction (r = 0.529, p < 0.001), whereas moderate negative correlations were found between burnout and job satisfaction (r = -0.308, p < 0.001) and between burnout and life satisfaction (r = -0.473, p < 0.001). In the regression analysis, the model explained 26% of the variance in burnout (R² = 0.260, p < 0.001). Life satisfaction and female gender were significantly associated with burnout (p < 0.001), while other variables were not significant. These findings suggest that burnout among radiology technicians should be considered in relation to sociodemographic, occupational, and psychosocial factors, although life satisfaction remained the only psychosocial variable independently associated with burnout in the multivariable analysis.