An algorithm for the arranging the feature psychophysiological profile of a specialist in assisting occupations

Introduction. The algorithm for arranging of the feature psychophysiological profile of specialists in assisting occupations includes the results of a special assessment of working conditions, subjective assessments of working conditions by employees, psychodiagnostics of indicators of the emotional sphere, calculation of integral indicators of health, followed by a correlation analysis of the results obtained. Aim of the work — to study the subjective assessment of working conditions by employees; psychodiagnostics of indicators of the emotional sphere; calculation and analysis of integral indicators of health and correlational dependencies; development and testing of an algorithm for the psychophysiological profile of interned specialists in assisting occupations, taking into account a special assessment of working conditions. Materials and methods. Fifty seven trained subjects, including 33 nursing assistants (group 1) and 24 oncologists (group 2), all women, participated in the cross-sectional study using questionnaires, anthropometric and physiological measurements, calculation of basic health indicators, and psychodiagnostics of emotional indicators. The statistical significance of the differences in the studied indicators between the groups was assessed using the Mann–Whitney U-test. The Spearman correlation coefficient was used to study the relationship between the parameters. Results. The common features of the psychological and physiological profiles of the interned subjects of the two occupations are: “a high degree of responsibility and work intensity” – the main problem in the workplace; the body mass index of the subjects is higher than the statistical norm; a slow rate of aging; a low level of burnout; the dominance of personal anxiety relative to reactive; the absence of mental health disorders. The specifics of occupational activity include the identification of unfavorable labor factors in accordance with a special assessment of working conditions at the workplace, the number, direction, and strength of correlations between the studied indicators. Limitations. The study is limited by the time frame of the medical examination; the small number of subjects without the possibility of ranking them by age and internship groups. Conclusion. The proven algorithm can be used to assess early occupational health disorders for workers in different occupations.