Background
Journalists experience high levels of job burnout. However, little is known about the factors that affect job burnout among journalists.
Aim
To investigate the relationship between resilience, social support and job burnout in a sample of journalists.
Methods
We conducted a cross-sectional study with a convenience sample. We performed our study in Greece during April 2023. We used the Multidimensional Scale of Perceived Social Support, the Brief Resilience Scale and the single item burnout measure to measure social support, resilience and job burnout, respectively. We measured the following demographic variables: gender, age, chronic disease, educational level and job experience.
Results
Among our sample, mean age was 50.4 years (standard deviation = 11.4). More than half of our journalists were females (57.3%). Our journalists experienced moderate to high levels of social support, and moderate levels of resilience. Mean job burnout score was 5.99 (standard deviation = 2.22). In our sample, 58.7% (n = 88) of journalists had a job burnout score ≥ 6 indicating high levels of burnout, while 41.3% (n = 62) had a job burnout score < 6 indicating low levels of burnout. Both multivariable linear and logistic regression models showed a negative relationship between resilience and job burnout (linear regression model: adjusted coefficient beta = -0.585, 95% CI = -1.133 to -0.038, p-value = 0.036), (logistic regression model: adjusted odds ratio = 0.575, 95% CI = 0.330 to 0.999, p-value = 0.049). There were no statistically significant relationships between social support and job burnout in both models.
Conclusions
Our sample experienced high levels of job burnout. We found that more resilient journalists experienced lower levels of job burnout. Social support did not affect levels of job burnout among journalists.