Features of professional stress of coders

Abstract

The article presents the results of an empirical study that focuses on the characteristics of occupational stress of coders. The research sample consisted of programmers aged 22 to 55 years. Respondents who participated in the study have a higher technical education and live and work in the territory of the Russian Federation. The participants in the empirical study, conducted as part of this work, voluntarily expressed their willingness to participate in the survey. The methods used in the study allowed for a multifactor assessment of the symptoms of occupational stress of programmers and the identification of the degree of its expression and qualitative characteristics among the surveyed. Psychodiagnostic methods aimed at determining the severity of occupational stress and the diagnosis of the formation of phases and symptoms of burnout, were selected for the study. To process the data obtained from the respondents through the Integral Diagnostics and Correction of Occupational Stress (IDICS) methodology developed by Leonova A.B., a corresponding computer program was used. The data obtained as a result of the conducted research allowed us to consider various aspects of the severity of occupational stress of the survey sample. The resulting assessment of the stress level made it possible to identify the main high and extremely high indicators of the severity of occupational stress of the respondents, diagnosed as part of a multi-level assessment of professional stress, indicate the relevance of considering the formation of a set of measures to prevent the occurrence of occupational stress of coders. In accordance with the research materials on the formation of phases and symptoms of burnout syndrome, the phases of tension and resistance are most formed among the surveyed programmers. Based on the data obtained from the analysis of the results of the preventive part of the Integral Diagnostics and Correction of Occupational Stress (IDICS) methodology, the article formulates recommendations for selecting a set of optimization measures in accordance with the identified specificity of stress.