Abstract

Introduction. One of the important directions of medical and psychological research is the scientific search for approaches and research methods in the field of adaptive resources of the individual necessity to maintain optimal performance and successful functioning of a specialist in occupational activity. At the present stage, the indicators of the functional state of the employee are taken into account and analyzed according to average values, without taking into account personalized data. This approach may lead to inaccuracies in the interpretation of the results obtained.
 The purpose of the study is to determine the most significant criteria for assessing the functional state of railway transport workers based on the analysis of the database of the automated system of pre‒trip medical examinations (KAPD-01-ST complex, ASF), taking into account the previously established individual threshold values of their current functional state indicators.
 Materials and methods. As part of the work, the database of the system of pre-trip medical examination of four hundred employees of locomotive crews was analyzed. Among them, 200 people (according to the assessment of their psychophysiological state) were classified as a “risk group”. The average age (not included in the “risk group”) is 51.4 ± 2.8 years; those included in the “risk group” ‒ 51.6 ± 3.5 years.
 Results. According to the results of factor analysis (CMO = 0.737, Barlett sphericity criterion p<0.05), 5 factors were identified. The cumulative percentage 
 on the last component is 94.723. Based on the study of the results of the automated system of pre-trip medical examination (ASP), the most significant indicators 
 of assessing the functional state of employees of locomotive crews of railway transport in the formation of a “risk group” were identified.
 Limitations. The representativeness of the sample size was ensured by the participation of 400 employees of locomotive crews in the study. The limitations of the study are related to the distribution of respondents by gender: there are no female respondents in the sample.
 Conclusion. The previously applied approaches of the system, the assessment of the functional state of the employee according to group criteria, taking into account the average values, do not allow today to obtain a forecast of occupational reliability that meets modern requirements. There is an obvious need to create a new, more objective assessment system of the degree of overstrain of the functional systems of the human body, aimed at taking into account the individual characteristics of the operator professions.

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