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Objective@#To investigate self-esteem status of train drivers. @*Methods@#By using cluster sampling method, a cross-sectional study was conducted in 1 413 train drivers (including passenger train drivers 301, freight train drivers683, passenger shunting train drivers350, and high speed train drivers79) from a railway bureau. The occupational stressors, strains, self-esteem and personalities were measured using occupational stress instruments and effort-reward imbalance questionnaire. @*Results@#The level of self-esteem is medium ofthe train drivers. Sself-esteem scores among different among different job category (job title) , marry status, age, length of service groups were statistical significance (P<0.01) . Differences of self-esteem among different educational level, exercise, smoking and drinking groups weren’t statistical significance (P>0.05) . Correlation analysis revealed that self-esteem score was related positively to job satisfaction (r=0.300) , reward (r=0.842) , working stability (r=0.243) , promotion opportunities (r=0.493) , positive affectivity (r=0.216) , responsibility for human beings (r=0.112) and responsibility for things scores (r=0.108) (P<0.01) , negatively to sleep quality (r=-0.103) , social support (r=-0.212) , role conflict (r=-0.007) , role ambiguity (r=-0.169) , physiological needs (r=-0.115) , daily stress (r=-0.150) , negative affectivity (r=-0.252) , depressive symptoms scores (r=-0.215) (P<0.01) . Nonparametric test found that train drivers of group with low self-esteem score reported higher scores for physiological need, role conflict, role ambiguity, social sleep quality, depressive symptoms, negative affectivity, social support and daily stress scores than the medium and higher groups (P<0.01 or<0.05) . But reword, job satisfaction, positive affectivity, copping stratgy, working stability and promotion opportunities scores were lower than the group of medium and higher groups (P<0.01) . Inter-group conflict scores were insignificance (P>0.05) . Multivariate logistic regression analysis revealed that low low self-esteem for drivers occured the risk of job dissatisfaction about 1.5 times as high as that of drivers with higher self-esteem (OR=1.476) @*Conclusion@#Different types of locomotive drivers get different level of self-esteem. Self-esteem was affected by occupational stress largely.
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Objective@#To investigate sleep quality status of train drivers.@*Methods@#By using cluster sampling method, a cross-sectional study was conducted in 1413 train drivers (including passenger train drivers 301, freight train drivers 683, passenger shunting train drivers 350, and high speed train drivers 79) from a railway bureau. The occupational stressors, strains, personalities and sleep quality were measured using occupational stress instruments and effort-reward imbalance questionnaire.@*Results@#The train drivers of poor sleep quality was 48.34%. Sleep quality scores among different among different job category (job title) , exercise, smoking and drinking were statistical significance (P<0.01) . Differences of sleep quality among different educational level, marry status, age, length of service groups weren’t statistical significance (P>0.05) .@*Correlation@#analysis revealed that sleep quality score was related negatively to job satisfaction, reward, working stability, promotion opportunities, positive affectivity, esteem and self-esteem scores (r: -0.454, -0.207, -0.329,-0.170, -0.291, -0.103, -0.139, P<0.01 or P<0.05) , positively to social support, effort, role conflict, conflict between groups, conflict in groups, responsibility for person, responsibility for thing, psychological needs, physiological needs, daily stress, negative affectivity, depressive symptoms scores (r: 0.338, 0.524, 0.226, 0.094, 0.182, 0.210, 0.247, 0.190, 0.615, 0.550, 0.345, 0.570, P<0.01) . Nonparametric test found that train drivers of group with high sleep quality score reported higher scores for physiological need, psychological need, effort, role conflict, conflict between groups, social support, daily stress, depressive symptoms, responsibility for person, responsibility for thing, negative affectivity and coping scores than the group of lower sleep quality score (P<0.01) . But reword, job satisfaction, positive affectivity, self-esteem working stability and Promotion opportunities scores were lower than the group of lower sleep quality score (P<0.01) . Multivariate logistic regression analysis revealed the risk for more physiological needs, more effort, more depressive symptoms and more daily stress for drivers occured the risk of poor sleep quality were more than two times as high as that of drivers with less physiological needs, less effort, less depressive symptoms and less daily stress (OR=2.905~2.005) . Conclusions Different types of locomotive drivers get different level of sleep quality. Sleep quality was affected by occupational stress largely. Reducing the occupational stress may contribute to improve the sleep quality of train drivers.
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Objective@#To investigate the influencing factors for job satisfaction in train drivers.@*Methods@#In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support.@*Results@#There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status (P<0.01). The correlation analysis revealed that job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores (P<0.01) and negatively correlated with sleep disorders, effort, role conflict, intergroup conflict, responsibility for persons, responsibility for things, psychological needs, physiological needs, daily stress, negative emotion, and depressive symptom scores (P< 0.01). The analysis of variance showed that compared with the moderate and low job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores (P<0.01) , as well as significantly lower scores of responsibility for persons and responsibility for things (P<0.01). Compared with the moderate and high job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support (P<0.01) , and the moderate job satisfaction group had a significantly higher score of self-esteem than the other two groups (P<0.05). The logistic regression analysis showed that the risk of job dissatisfaction in the drivers with low so-cial support and high daily stress was more than 2 times that in those with high social support and low daily stress (OR=2.176 and 2.171) , and sleep disorders, effort, depressive symptom, low self-esteem, and role conflict were risk factors for job dissatisfaction (OR=1.48-1.625).@*Conclusion@#Occupational stress, stress re-sponse, emotion, individual characteristics, and social support have great influence on job satisfaction. Im-proving social support, increasing positive emotion, and reducing occupational stress are main measures for increasing job satisfaction in train drivers.
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Objective@#To investigate the social support status of train drivers.@*Methods@#Using cluster sampling, a cross-sectional study was conducted in 1 413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 85 guest scheduling train drivers, 265 cargo adjustable drivers, and 79 high-speed train drivers) from a railway bureau depot. The survey included individual factors, social support, occupational stressors, strains, personalities, and coping strategy using occupational stress instruments and effort-reward imbalance questionnaire. We compared the difference in social support scores between different drivers, who were divided according to job type and age. Additionally, the correlation between social support score and job strain-related factors was analyzed. The influence of depressive symptoms and job satisfaction were analyzed using a non-conditional logistic multivariate model.@*Results@#The overall average age P50 (P25,P75) of 1 413 train drivers was 33.92 (27.83,43.58) years. The overall average length of service 12.25 (5.25,22.75) years. A significant difference in social support scores was observed according to job type (H=23.23, P<0.001). The specific scores were passenger driver(27 (23,32)), freight train driver (26 (22,30)), guest scheduling driver (27 (24,30)), cargo adjustable driver (26 (22,31)), and high-speed train driver (30 (26,36)) (P50(P25,P75)). Additionally, social support scores among different age groups were significantly different (H=6.64, P=0.036). The specific scores were ≤30 years (26 (22,31)), 30-40 years (27 (23,33)), and >40 years (27 (22,31)). Correlation analysis revealed that the social support score was negatively associated with job satisfaction (r=-0.43), reward (r=-0.22), working stability (r=-0.23), promotion opportunities (r=-0.12), positive affectivity (r=-0.31), esteem (r=-0.21), and self-esteem (r=-0.20) scores (P<0.001). The social support score was positively associated with sleep disorders (r=0.33), external effort (r=0.21), pay within (r=0.12), role conflict (r=0.20), conflict between groups (r=0.17), conflict in groups (r=0.06), responsibility for the others (r=0.06), responsibility for things (r=0.08), physiological needs (r=0.39), psychological needs (r=0.19), daily stress (r=0.29), negative affectivity (r=0.23), and depressive symptoms (r=0.44) scores (P<0.05). Multivariate logistic regression analysis revealed social support had a great influence on depressive symptoms and low job satisfaction. Compared with high social support, low social support resulted in depressive symptoms (OR=4.12, 95% CI:3.19-5.33) and low job satisfaction (OR=2.18, 95%CI:1.65-2.88).@*Conclusion@#Train drivers obtained various levels of social support. Social support greatly affected occupational stress. High social support was related to reduction in the occurrence of occupational stress, depressive symptoms, and low job satisfaction. Social support is related to mental health of train drivers.
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It was suggested by most researchers that train drivers’ workload and alertness levels attribute to train accidents. The main objective of this study is to determine the significant patterns of mental workload and alertness levels of train drivers with respect to the conditions. The data are collected from simulation experiments on 15 professional train drivers. The simulation experiments are performed under three driving conditions (i.e. daytime, rainy daytime and rainy night) using a train driving simulator set. Electroencephalogram (EEG) signals are collected from six significant points on the body of the subjects. It is found that the mental workload of the train drivers tends to be high during rainy night driving condition and sleepiness occurs which is indicative of low vigilance. The beta amplitude increases under rainy night driving condition which may be attributed to viewing difficulties while driving in the dark. The results reveal that there is a significant different between each session (p = 0.042) especially with the pattern for rainy night driving. It is also observed that there is lower mental workload among the train drivers, which indicates that the train drivers are detached from their work.
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Objetivo descrever o impacto do trabalho em turnos na saúde, no sono e na qualidade de vida de maquinistas ferroviários. Métodos foram avaliados 611 maquinistas (escalas de trabalho 4 x 1 e 6 x 2), por meio de polissonografia, Índice da Qualidade do Sono de Pittsburgh, Índice de Gravidade de Insônia, Questionário de Qualidade de Vida SF-36, Questionário de Horne e Östberg, Capacidade de Trabalho e Escala de Sonolência de Epworth. Resultados os maquinistas apresentaram idade média de 36,6 ± 15,1 anos, 22% apresentaram obesidade e 38,1% risco para doenças cardiovasculares. Em relação ao sono, 64,2% dos maquinistas relataram qualidade ruim de sono, 11,6% apresentaram distúrbios do sono e 29,3% sonolência excessiva. Os resultados da polissonografia mostraram que 36,1% deles apresentaram apneia do sono e 47,2% demonstraram eficiência do sono reduzida. Além disso, os maquinistas apresentaram baixos índices de qualidade de vida, especialmente os da escala 4 x 1. Conclusão é possível afirmar, na população estudada, que a exposição ao trabalho em turnos, a rotatividade inversa, pouco tempo dispensado às folgas e horas extras de trabalho estão associados a danos ao bem-estar, saúde, sociabilização e ao sono de qualidade desses trabalhadores e que provavelmente os fatores relacionados aos turnos de trabalho contribuem para esses danos. .
Objective to describe the impact of shiftwork on the health, sleep and quality of life of railway drivers. Methods six hundred eleven railway drivers (schedule 4x1 and 6x2) were evaluated by polysomnography, Pittsburgh Sleep Quality Index, Insomnia Severity Index, Work Capacity Index, Quality of Life questionnaire (SF-36), Morningness-eveningness questionnaire (MEQ), and Epworth Sleepiness Scale. Results railway drivers assessed were 36.6 ± 15.1 years of age, 22% were obese, and 38.1% presented risks for cardiovascular disease. Poor sleep quality 64.2%, 11.6% had sleep disorders and 29.3% excessive sleepiness. The polysomnography results showed that 36.1% of them presented sleep apnea and 47.2% had significant reduction in sleep efficiency. The railway drivers showed low levels of quality of life, especially those working under the 4x1 schedule. Conclusion it is possible to assert that exposure to shiftwork, reverse rotation schedule, few days off, and working overtime are associated with impairment to well-being, health, sociability and workers’ sleep quality, and the factors related to shiftwork probably contribute to these findings. .