الملخص
Background The occurrences of occupational stress and sleep disorders are closely related. As a high-risk group of occupational stress, the sleep quality of locomotive engineers is of great significance for road traffic safety. Objective To explore the direction and degree of occupational stress affecting the sleep quality among locomotive engineers, and to analyze potential mediating and moderating roles of response strategy and overcommitment in the relationship. Methods From July 1st to July 31st, 2022, a total of 6219 locomotive engineers from three locomotive depots of China Railway Lanzhou Group Corporation were selected. We conducted an online survey on occupational stress, overcommitment, response strategy and sleep quality using the Effort-Reward Imbalance, Personal Resources Questionnaire, and Pittsburgh Sleep Quality Index. Single factor analysis and correlation analysis were conducted using SPSS 25.0 software, mediation and moderation models were constructed using the Process V3.3 macro program plugin, and Harman's single factor test was used for common method bias testing. Results A total of 6219 questionnaires were distributed, and 5738 valid questionnaires were collected, with an effective response rate of 92.27%. The average locomotive engineers' occupational stress score (1.22±0.29), overcommitment score (16.38±3.55), response strategy score (50.00±10.00), and sleep quality score (11.51±3.95) were calculated. The Pearson correlation analysis results showed that occupational stress was positively correlated with overcommitment and sleep quality (r=0.435, 0.321, P<0.01), and negatively correlated with response strategy (r=−0.286, P<0.01); overcommitment was positively correlated with sleep quality (r=0.367, P<0.01), and negatively correlated with response strategy (r=−0.210, P<0.01); there was a negative correlation between response strategy and sleep quality (r=−0.244, P<0.01). Occupational stress positively associated with sleep quality in locomotive engineers (b=3.658, t=21.177, P<0.001); response strategy exhibited a partial mediating role between occupational stress and sleep quality, with an effect size of 0.581, accounting for 15.88% of the total effect; overcommitment presented a significant moderating effect in the first half of the mediating process of "occupational stress-response strategy-sleep quality" (P<0.001). Conclusion Occupational stress has an impact on the sleep quality of locomotive engineers through the mediating effect of response strategy, and the first half of this mediating pathway is moderated by overcommitment.
الملخص
Background Occupational stress is an important factor affecting the health of working population, wellness is a topic that has received much attention in recent years, and sleep quality and wellness have a certain impact on occupational stress. Objective To understand the current situation of occupational stress among locomotive engineers in in the Yangtze River Delta, explore the influence of well-being and sleep quality on occupational stress, and provide a theoretical basis for occupational stress intervention among locomotive engineers. Methods Sampling was conducted from October to December 2022 using stratified random sampling. The Chinese version of the Brief Occupational Tension Questionnaire based on the Job Demand-Control Model (JDC model), the World Health Organization 5-item Well-Being Index (WHO-5), and the Pittsburgh Sleep Quality Index (PSQI) scale were used to investigate the occupational stress, well-being, and sleep quality of locomotive engineers. Logistic regression was used to analyze the effects of sleep quality and well-being on occupational stress, and additive and multiplicative interaction models were applied to evaluate the interactive effects of well-being and sleep quality on occupational stress. Results A total of 8243 questionnaires were collected from five locomotive companies, and after excluding unqualified questionnaires, a total of 7976 questionnaires were included in the analysis. The number of locomotive engineers in the Yangtze River Delta reporting positive occupational stress was 4633 (58.09%), the number of low-level well-being was 4949 (62.05%), and the number of poor sleep quality was 4129 (51.77%). The distribution of occupational stress varied by age, length of service, region, technical level, nature of vehicle, education, per capita monthly family income, marital status, smoking, drinking, number of exercise sessions per week, quality of sleep, work shifts, and length of commute (P<0.01). The results of logistic regression showed that a lower level of occupational stress was associated with >11000 yuan per capita monthly household income (OR=0.795, 95%CI: 0.656, 0.964), high level of well-being (OR=0.477, 95%CI: 0.430, 0.528), and good sleep quality (OR=0.588, 95%CI: 0.531, 0.651); a higher level of occupational stress was associated with night shifts: 1 or fewer night shifts (OR=1.707, 95%CI: 1.312, 2.221), 2 to 3 night shifts (OR=2.649, 95%CI: 2.111, 3.325), and 4 or more night shifts (OR=2.804, 95%CI: 2.202, 3.571); a higher level of occupational stress was associated with 60 min or more commuting time (OR=1.353, 95%CI: 1.111, 1.646). Regarding interaction between poor sleep quality and low well-being on occupational stress, the relative excess risk ratio (RERI), attributable risk index (API), and synergy index (SI) were 1.451 (1.059, 1.844), 0.417 (0.327, 0.507), and 2.407 (1.787, 3.241), respectively, and the result of the multiplicative interaction was an OR of 1.546 (95%CI: 1.262, 1.893). Conclusion The prevalence of occupational stress among locomotive engineers in the Yangtze River Delta region is generally at a medium level compared with other industries. Good sleep quality reduces the risk of occupational stress to a greater extent than high well-being, and poor sleep quality and low well-being can interact and further increase the risk of occupational stress.