铁路运输工人功能状态的个性化操作控制

Q4 Medicine
V. E. Bogdanova, E. V. Zhovnerchuk, Nataliya A. Kostenko, V. Serikov
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引用次数: 0

摘要

介绍医学和心理学研究的一个重要方向是科学地寻找适应个人需求的资源领域的方法和研究方法,以保持专家在职业活动中的最佳表现和成功运作。在现阶段,员工的功能状态指标被考虑在内,并根据平均值进行分析,而没有考虑个性化数据。这种方法可能导致对所获得结果的解释不准确。本研究的目的是根据对行车前体检自动化系统(KAPD-01-ST复合体,ASF)数据库的分析,确定评估铁路运输工人功能状态的最重要标准,同时考虑到之前建立的当前功能状态指标的个人阈值。材料和方法。作为工作的一部分,对机车乘务员400名员工的行车前体检系统数据库进行了分析。其中,200人(根据对其心理生理状态的评估)被归类为“风险群体”。平均年龄(不包括在“风险组”中)为51.4±2.8岁;纳入“风险组”的年龄为51.6±3.5岁。后果根据因子分析结果(CMO=0.737,Barlett球度标准p<0.05),确定了5个因子。最后一个组成部分的累计百分比为94.723。基于对行车前体检自动化系统(ASP)结果的研究,确定了评估铁路运输机车乘务员员工在形成“风险群体”中的功能状态的最重要指标。局限性400名机车乘务员的员工参与了这项研究,确保了样本量的代表性。该研究的局限性与受访者的性别分布有关:样本中没有女性受访者。结论该系统以前采用的方法,即根据群体标准评估员工的功能状态,并考虑平均值,如今无法获得符合现代要求的职业可靠性预测。显然需要建立一个新的、更客观的人体功能系统过度训练程度评估系统,目的是考虑到操作员职业的个人特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The personalized operational control of the functional state in railway transport workers
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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来源期刊
Gigiena i sanitariia
Gigiena i sanitariia Environmental Science-Pollution
CiteScore
0.80
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0.00%
发文量
192
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