Kiégést befolyásoló tényezők magyarországi információtechnológiai dolgozók körében – pilot vizsgálat

Abstract

INTRODUCTION: Studies on mental health and work performance are becoming increasingly important in international literature. However, more information is needed on the extent of burnout in the information technology (IT) sector. Therefore, our pilot research aimed to investigate the area of burnout in the IT sector and identify factors associated with burnout and factors that play a role in predicting burnout. METHODOLOGY: The research involved an online cross-sectional survey pilot study with 42 IT company employees in Hungary. In addition to demographic and general data, the participants completed questionnaires on burnout, workload, sleep disturbance and negative affectivity. RESULTS: The results showed that 66.6% (28 persons) of the participants showed symptoms of burnout. The burnout group had significantly higher scores for depression, anxiety, stress, effort, over-commitment and sleeping disorder. In addition, the dimension of burnout was found to be a significant predictor of the dimension of exhaustion, as were the type of residence, number of hours per week and diabetes. Gender, age, marital status, number of children, years of education, years of work, and other health problems did not show significant associations with burnout. CONCLUSIONS: The results of the pilot study suggest that early detection and prevention of burnout are crucial. The research could significantly contribute to the theoretical knowledge of burnout and hold practical implications for enhancing the mental health of workers in the IT sector, provided that the results can be replicated on a larger sample.