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Background The risks of unhealthy working mood and physical and mental health problems are high in the workers of petrochemical enterprises. Resilience is a positive psychological factor, which can provide positive ability to manage stress and job burnout, relieve tension, depression, anxiety, and other psychological discomfort. Objective To explore the moderating or mediating effect of resilience on the association between job burnout and sleep disorders in workers of petrochemical enterprises. Methods A survey with questionnaire of general information, resilience, job burnout (including exhaustion, cynicism, and professional efficacy), and sleep disorders was conducted among 1087 workers who were selected by cluster sampling from a petrochemical enterprise in Henan Province in April 2022. Mann-Whitney U test and Kruskal-Wallis H test were used to test the differences of scores among different demographic groups. Resilience, job burnout (including exhaustion, cynicism, and professional efficacy), and sleep disorder scores were analyzed by partial correlation analysis. The moderating effect of resilience was examined by linear regression analysis, and the mediating effect of resilience by Bootstrap method. Results A total of 861 questionnaires were collected, of which 857 were effective, and the effective rate was 99.5%. The M (P25, P75) of job burnout score was 1.24 (0.65, 2.22) and the incidence of job burnout was 36.4% (312/857); the scores [M (P25, P75)] of exhaustion, cynicism, and professional efficacy were 1.40 (0.80, 3.00), 1.00 (0.20, 1.60), and 5.50 (4.00, 6.00), respectively. The M (P25, P75) of resilience score was 36.00 (30.00, 41.00). The M (P25, P75) of sleep disorder score was 11.00 (7.00, 15.00). The partial correlation analysis results showed that job burnout, exhaustion, and cynicism were negatively correlated with resilience (r=−0.387, −0.248, −0.247, P<0.01), and positively correlated with sleep disorders (r=0.455, 0.445, 0.357, P<0.01); professional efficacy was positively correlated with resilience (r=0.366, P<0.01) and negatively correlated with sleep disorders (r=−0.184, P<0.01); resilience was negatively correlated with sleep disorders (r=−0.349, P<0.01). The linear regression analysis results found that job burnout, exhaustion, and cynicism elevated the risk of sleep disorders (P<0.01), resilience lowered the risk of sleep disorders (P<0.01); but the relationship between job burnout (exhaustion, cynicism, and professional efficacy) and sleep disorders was not moderated by resilience (P＞0.05). The mediating effect test showed that resilience played a partial mediating role in the associations of job burnout, exhaustion, cynicism, and professional efficacy with sleep disorders, the mediating effects were 0.522 (95%CI: 0.283-0.777), 0.310 (95%CI: 0.188-0.453), 0.364 (95%CI: 0.228-0.524), −0.542 (95%CI: −0.741-−0.366) and the mediating effects accounted for 17.31%, 14.12%, 19.24%, and 64.72% of the total effects, respectively. Conclusion The relationship between job burnout and sleep disorders is partially mediated by resilience among workers in the selected petrochemical company, but no moderating effect is found.
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Background Job burnout is prevalent among the occupational population, which may lead to individual physical and mental discomfort and affect the quality of life and productivity of suffered workers. Most current chemical fiber factory workers are engaged in hazardous tasks with high frequency and high repetition, which are highly associated with anxiety and depressive symptoms, and subsequently lead to job burnout. Objective To understand the current situation and influencing factors of job burnout in workers of a chemical fiber factory in Xinxiang City of Henan Province, and to provide empirical evidence for preventing and reducing the occurrence of job burnout in target workers. Methods In 2022, the workers of a chemical fiber factory in Xinxiang City were selected by cluster random sampling. The Chinese versions of the Burnout Scale, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 were used to conduct a survey. SPSS 25.0 software was used for rank sum test, correlation analysis, and logistic regression analysis. Results A total of 1463 valid questionnaires were collected, with an effective recovery rate of 90.0%. The positive rate of mild and moderate job burnout in the chemical fiber factory employees was 39.4%, and the positive rate of serious job burnout was 14.3%. There were statistical differences in the positive rates of job burnout among the workers by gender, age, education level, position, work shift system, anxiety symptom severity, and depressive symptom severity (P<0.05). The results of Spearman correlation analysis showed that the score of anxiety symptoms was positively correlated with the total score of job burnout, as well as the dimensional scores of exhaustion and cynicism, and negatively correlated with the dimensional score of professional efficacy (r=0.671, 0.764, 0.673, −0.097; P<0.01). The score of depressive symptoms was also positively correlated with the total score of job burnout, as well as the dimensional scores of exhaustion and cynicism, and negatively correlated with the dimensional score of professional efficacy (r=0.688, 0.791, 0.723, −0.087; P<0.01). The results of logistic regression analysis showed that men had a higher risk of serious job burnout than women (OR=1.698, 95%CI: 1.163-2.479); workers aged ≤ 40 years old had a higher probability of serious job burnout than those aged 51 to 60 years old (OR=2.587, 95%CI: 1.310-5.109); non-assembly line production workers and assembly line production workers were more prone to serious job burnout than administrative management and logistics personnel (OR=6.511, 9.707, 95%CI: 1.539-27.548, 2.260-41.700); compared with other shift systems (three shifts and night shifts), the probability of serious job burnout was lower (OR=0.375, 95%CI: 0.254-0.553) in regular day shift workers; compared with frequent overtime work, those reporting no overtime work and occasional overtime work showed a lower risk of serious job burnout, with OR (95%CI) values of 0.114 (0.068-0.192) and 0.331 (0.194-0.564), respectively. Conclusion The positive rate of job burnout among the employees of the chemical fiber factory is high, and the anxiety symptoms and depressive symptoms are positively correlated with job burnout. Adjustment of work should be strengthened at multiple levels to improve anxiety symptoms and depressive symptoms of employees, and reduce the occurrence of job burnout.
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Background Job burnout is common among working populations. The current situation and influencing factors of job burnout have been studied in workers of many industries at home and abroad, except the express industry in China. Objective To understand the current situation of job burnout in express industry in a city of China, and to provide a scientific basis for developing measures to reduce the occurrence of job burnout. Methods In 2022, 432 express delivery workers in a city were selected by cluster random sampling, and their job burnout, anxiety symptoms, and depressive symptoms were evaluated by using the General Burnout Scale, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9. Chi-square test was used to compare inter-group positive rates of job burnout. Spearman correlation analysis was used to analyze the correlation between selected variables. Positive job burnout, high level of exhaustion, and high level of cynicism were selected as dependent variables. Single-factor analysis was firstly carried out to identify statistically significant variables for subsequent logistic regression analysis. Results A total of 460 questionnaires were distributed and 432 valid questionnaires were recovered, with an effective recovery rate of 93.9%. There were 286 (66.2%) express delivery workers reporting job burnout. The positive rate of anxiety symptoms was 41.0%, and the positive rate of depressive symptoms was 34.0%. The job burnout score of the express industry workers [M (P25, P75)] was 1.8 (1.0, 2.5); the scores [M (P25, P75)] of exhaustion, cynicism, and professional efficacy were 1.0 (0.0, 2.6), 1.0 (0.0, 2.2), and 3.5 (1.2, 5.8), respectively; the score [M (P25, P75)] of anxiety symptoms was 1.5 (0.0, 7.0); the score [M (P25, P75)] of depressive symptoms was 1.0 (0.0, 8.0). There were statistical differences in the positive rates of job burnout among the express industry workers grouped by gender, education, monthly income, work shift system, overtime, anxiety symptoms, and depressive symptoms (P<0.05). The Spearman correlation analysis showed that there were significant positive correlations between the score of anxiety symptoms and the scores of job burnout, exhaustion, and cynicism (rs=0.596, 0.689, 0.600, P<0.001); the score of depressive symptoms was also positively correlated with the scores of job burnout, exhaustion, and cynicism (rs=0.601, 0.680, 0.607, P<0.001). The logistic regression analysis showed that women had a lower risk of job burnout than men (OR=0.458, 95%CI: 0.273, 0.768), and the risk of reporting positive job burnout was 3.140 times higher for those who worked overtime than those who did not (OR=3.140, 95%CI: 1.732, 5.693). Conclusion The current situation of job burnout in express industry is serious. Gender, education, monthly income, and overtime are the main influencing factors. Measures should be developed to reduce the occurrence of job burnout.
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Job burnout is a hot topic in occupational health psychology research at home and abroad. This paper reviewed the concept and development of job burnout, introduced the common tools measuring job burnout, indicated the problems reported in the measurement tools of job burnout, proposed suggestions on the introduction, translation, development and use of burnout measurement tools, summarized the new trend of research on job burnout abroad, and prospected the future research work of job burnout in China.
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Job burnout is rampant in workplaces and has become an important global public health concern. It is one of the top occupational health problems to be addressed in the workplace in Europe and America. The prevalence rate of job burnout is also at a high level in China, and cannot be ignored for its associated health loss and economic impact of occupational population, so we should deepen the understanding of job burnout hazards, promote relevant scientific research, and develop associated prevention and control programs. This paper introduced the epidemic status of job burnout, health hazards and economic impact, development stage, influencing factors, conceptual models, measurement and evaluation methods, and prevention and control measures, and proposed scientific research directions as well as prevention and control strategies of job burnout in the future.
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Background Noise can cause not only auditory system injury, but also liver damage. However, the biomarkers and pathological mechanism of noise-induced liver injury are not clear yet. Objective To observe the effect of noise on the morphological structure and functions of rat liver. Methods A total of 30 Wistar rats were randomly divided into a normal control group, a low noise exposure group [(95 dB sound pressure level (SPL)], and a high noise exposure group (105 dB SPL). After 30 days of noise exposure, blood was collected, and livers were harvested and fixed. The pathological changes of livers were observed. The levels of biochemical indicators of liver function, blood glucose, and blood lipid were measured. Serum metabolites were detected by ultra-high-pressure liquid chromatography-tandem quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS). Differential metabolite markers and metabolic pathways were identified. Results Compared with the control group, the body weight gain decreased in the low noise group and the high noise group after noise exposure (P<0.001, P<0.05). The pathological results showed that noise caused the rat livers’ morphological and structural damage at various degrees, and damage of the high noise exposure group was more serious. Compared with the control group, the serum levels of aspartate aminotransferase, albumin, and glycosylated serum protein in the low noise exposure group were increased (P<0.05), but the total bile acid level was decreased (P<0.05). The serum levels of alanine aminotransferase, aspartate aminotransferase, albumin, triglyceride, low density lipoprotein, and glycosylated serum protein in the high noise group exposure were increased (P<0.05), but the glucose level was decreased (P<0.05). In the serum metabolomics analysis, 11 differential metabolites were screened out in the low noise exposure group, which were mainly enriched in 3 pathways (thiamine metabolism, primary bile acid biosynthesis, and bile secretion) related to liver metabolism. Four differential metabolites were screened out in the high exposure noise group, which were mainly enriched in four significantly different metabolic pathways (insulin signaling pathway, non-alcoholic fatty liver disease, bile secretion, and insulin secretion). All the metabolic pathways involved in bile acid secretion and metabolism. Conclusion Nosie exposure can not only damage the liver structure of rats, but also affects the metabolism functions of liver. The mechanism may be related to bile acid secretion metabolic pathway.
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Background Noise has multiple negative effects on the organism, and gut microbes are influenced by the environment and are closely associated with the development of diseases. Currently, the effects of chronic noise exposure on intestinal microbiota are poorly understood. Objective To investigate the effects of noise exposure on the structure of rat gut microbiota and to make predictions of gut microbiota function. Methods Male Wistar rats (6 weeks old, 160-180 g) were randomly divided into control, NE_95dB, and NE_105dB groups, 10 rats in each group. Rats in the NE_95dB and the NE_105dB groups were exposed to noise at 95 dB sound pressure level (SPL) and 105 dB SPL, respectively, 4 h per day for consecutive 30 d, while the control group was exposed to background noise. Feces were collected after the last noise exposure for intestinal microbiota detection. Based on the 16S ribosomal RNA (rRNA) gene sequencing method, the diversity and structure of microbiota in rat intestinal contents were analyzed and compared. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was applied to predict functions of the identified intestinal microbiota genes. Results Significant differences were found in the microbial structure of the rat gut after the designed noise exposure. In the α diversity results, there was a statistically significant difference in the Chao1 index between the NE_95dB group and the NE_105dB group (P=0.02), while there were no statistically significant differences in the Shannon and Simpson indexes between the noise exposure groups and the control group (P>0.05). The β diversity analysis results showed significant differences in species abundance between the control group and the noise exposure groups (P=0.001). Further species analysis results showed that the relative abundances of the Ruminococcaceae_NK4A214_group (P<0.05) and Peptococcaceae_unclassified (P<0.01) at the genus level were significantly higher in the NE_105dB group, and the relative abundance of Parasutterella (P<0.05) was significantly higher in the NE_95dB group compared to the control group. In addition, the Ruminococcaceae_NK4A214_group (P<0.05) was also significantly higher in the NE_105dB group compared to the NE_95dB group. The PICRUSt functional prediction analysis results showed that there were eight differential pathways between the control group and the NE_95dB group, in which D-arginine and D-ornithine metabolism, ascorbate and aldarate metabolism, carotenoid biosynthesis, glycerophospholipid metabolism, mineral absorption, NOD-like receptor signaling pathway and non-homologous end-joining were significantly down-regulated, and nucleotide metabolism was significantly up-regulated. There were 38 differential pathways between the control group and the NE_105dB group. Among them, D-arginine and D-ornithine metabolism, and mineral absorption were the differential metabolic pathways in both noise exposure groups, and both were down-regulated relative to the control group. Conclusion Chronic noise exposure could alter structure of rat gut microbiota and may affect metabolic functions of multiple microbiota genes.
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Objective:To explore the moderating and mediating effects of psychological capital in the associations of job monotony and depressive symptoms.Methods:A convenient sampling method was used to sample 1 473 workers from a natural gas field in southwest China in October 2018.The sociodemographic characteristics, job monotony scale, PsyCap questionnaire and center of epidemiological survey, depression scale(CES-D) were conducted.Data were analyzed by SPSS 22.0 and Process v3.2 softwares.The statistical methods included t-test, one-way ANOVA, χ2 test, partial correlation analysis, multivariate regression analysis or Bootstrap method. Results:A total of 323 workers with depressive symptoms were detected, with a detection rate of 21.9%(323/1 473). The correlation analysis results showed that job monotony (13.67±1.38) was negatively correlated with self-efficacy (25.81±4.56), hope(25.91±4.55), resilience (26.80±3.80) and optimism (24.56±3.17) ( r=-0.26, -0.38, -0.36, -0.42 respectively, all P<0.01), and positively correlated with depressive symptoms ( r=0.50, P<0.01). Self-efficacy ( r=-0.38, P<0.05), hope ( r=-0.44, P<0.05), resilience ( r=-0.43, P<0.01) and optimism ( r=-0.47, P<0.01) were negatively correlated with depressive symptoms.The multivariate regression analysis results showed that self-efficacy and optimism had moderating effects on the associations of job monotony and depressive symptoms (both P<0.05), while hope and resilience had no moderating effects on the associations of job monotony and depressive symptoms (both P>0.05). The mediating effect test results showed that self-efficacy, hope, resilience and optimism played partial mediating roles in the associations of job monotony and depressive symptoms (all P<0.01), and the mediating effects were 0.139, 0.304, 0.232 and 0.339 respectively, and the proportion of mediating effect value to total effect was 12.2%, 23.3%, 18.8% and 25.3% respectively. Conclusion:Self-efficacy and optimism have moderating and mediating effects on the associations of job monotony and depressive symptoms, while hope and resilience have only mediating effects on the relationship between job monotony and depressive symptoms.
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OBJECTIVE: To investigate the prevalence of lower extremity work-related musculoskeletal disorders(WMSDs) among manufacturing workers, and to explore the association of lower extremity WMSDs and different types of working. METHODS: A total of 7 908 workers were selected as study subjects from four manufacturing factories in China using the cluster sampling method. The Musculoskeletal Disorders Investigating Questionnaire was adopted to investigate the prevalence of lower extremity WMSDs and the distribution of types of working. The prevalence ratio(PR) of WMSDs, calculated by log-binomial model, was used to estimate the correlation of WMSDs in different parts of lower extremity. The multi-factor logistic regression was used to analyze the association of lower extremity WMSDs and different types of working. RESULTS: The total annual prevalence of lower extremity WMSDs was 41.0%(3 241/7 908) among manufacturing workers. The annual prevalence of WMSDs of different parts in lower extremity from high to low were knee(29.5%), ankle/foot(23.9%) and hip/thigh(16.7%). The correlation of WMSDs of the three parts in lower extremity was close, and the range of PR values was 2.21-3.88. The result of logistic regression analysis showed that the workers who frequently sat for long periods had higher risk of lower extremity WMSDs than those who never/rarely sat for long periods(odds ratio=1.39, P<0.01). The higher the frequency of standing, kneeling/squatting for long periods, carrying heavy loads ≥5 kg and driving, the higher the risk of lower extremity WMSDs(the odds ratios were 1.33, 1.41, 1.16 and 1.12, respectively, P<0.01). CONCLUSION: The prevalence of lower extremity WMSDs was relatively high among manufacturing workers. There is a dose-effect relationship between the types of working and lower extremity WMSDs.
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OBJECTIVE: To investigate the current status of long working hours among employees of internet enterprises, and explore its effects on work related musculoskeletal disorders(WMSDs)and job burnout. METHODS: A total of 3 589 employees from 35 internet enterprises in 3 provinces were selected as the research subjects using the method of cluster sampling.The Questionnaire of Musculoskeletal Disorders and Maslach Burnout Inventory-General Survey was used to assess employees′ WMSDs and job burnout, and to explore the influence of long working hours(>40 hours per week) on WMSDs and job burnout. RESULTS: The average weekly working hours of these workers were(48±11) hours, and the workers working for long-hour accounted for 68.0%(2 442/3 589). The prevalence of WMSDs was 80.4%(2 886/3 589), and the detection rate of job burnout was 10.5%(376/3 589). The results of binary logistic regression analysis showed that long working hour was the influencing factor of WMSDs and job burnout after removing confounding factors including gender, age, education level, marital status, income, exercise frequency, diet habit, smoking status, type of work and length of service(P<0.01). The longer the weekly working hour, the higher the risk of WMSDs and job burnout. CONCLUSION: Long working hour increases the risk of WMSDs and job burnout with a dose-response relationship in internet enterprise employees.
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OBJECTIVE: To compile the Chinese Musculoskeletal Questionnaire(CMQ) and test its reliability and validity. METHODS: The initial CMQ was formed through studying literatures, interviewing professional workers who have work-related musculoskeletal disorders(WMSDs) and investigation with occupational health and ergonomics experts. Then, 436 and 443 manufacturing workers were selected as prediction and verification samples respectively by convensence sampling method. The reliability and validity of the CMQ were tested by item analysis, exploratory factor analysis and confirmatory factor analysis. RESULTS: i) The CMQ composed of 48 items with item analysis. ii) Nine common factors of CMQ were extracted using exploratory factor analysis, which explained 70.721% of WMSDs variance. iii) The results of confirmatory factor analysis showed that the ratio of chi-square to degree of freedom was 3.380, the comparative fit index was 0.781, the Tucker-Lewis index was 0.764, the root mean square error of approximation was 0.073, and the standardized root mean square residual was 0.068. iv) The results showed that the item reliabilities of the 9 common factors of CMQ such as upper and lower limbs posture load, neck posture load, back posture load, job demand, social support, job control, job environment, job system and job facilities were 0.205-0.841, the composite reliabilities were 0.545-0.894, and the convergence efficiencies were 0.377-0.834. The correlation coefficients between the common factors were less than its square root of the convergence validities. CONCLUSION: The CMQ has good reliability and validity, and is a reliable and effective tool for evaluating WMSDs.
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Objective@#Improvement the method of nitrogen oxide sampling, analysis and detection in workplace air.@*Methods@#Absorption and collection with sodium carbonate-sodium bicarbonate buffer solution, analysised by ion chromatography, anion column AS23, column temperature 30 ℃.@*Results@#The linearity of the nitrite ion in the corresponding mass concentration range 0~90.0 μg/ml was good (Nitrogen dioxide in 0~120.0 mg/m3) , correlation coefficient>0.999 5. The detection limit was 0.16 μg/ml, The minimum detection concentration was 0.11 mg/m3 with the sampling volume 7.5 L.@*Conclusion@#The method has good accuracy, high sensitivity, with directing injection and no pre-treatment, and can popularize in general laboratories, and can satisfy the determination of nitrogen oxides in the air of workplace.
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Objective@#To analyze the change of level of occupational stress between 1996 and 2012 among train engine drivers.@*Methods@#the cross-section investigation was conducted by using cluster sampling method, subjects included 1 116 and 1 002 passenger train engine drivers and freight train engine drivers respectively in 1996 and in 2012;occupational stressors, strains, personalities, buffering factors and individual factors were investigated by using Occupational Stress Instruments. Unconditional logistic regression analyses were performed to estimate the associations between job stressors, personalities, buffering factors and individual factors and strains. Multivariate OR(95%CI) were derived from the logistic regression models.@*Results@#From 1996 to 2012, for the passenger train engine drivers the scores of role ambiguity (17.67±5.30 vs.14.11±4.66) increased 25.32%, mental load (10.41±3.56 vs. 16.29±2.08) and physical environment (3.61±2.18 vs. 7.03±1.65) scores decreased 36.10% and 48.64% respectively, sleep disorders (18.04±9.20 vs. 13.35±4.00) and negative affectivity (2.76±1.86 vs. 2.14±1.86) scores increased 33.14% and 28.97% respectively, the differences were statistical significant (P<0.001) . For the freight train engine drivers the scores of sleep disorders (20.33±8.17 vs. 12.47±4.12) and negative affectivity (2.95±1.70 vs. 1.87±1.81) scores increased 57.75% and 60.03% respectively, positive affectivity (2.17±1.60 vs. 2.91±1.50) score decreased 25.43%, the differences were statistical significant (P<0.001) . In general, scores varies in factors related to occupational stress among freight train engine drivers were larger than those among passenger train engine drivers. The risk factor of job dissatisfaction among passenger train drivers in 1996 was insufficient superior support (OR=3.77, 95%CI: 2.23-6.37) , the risk factors in 2012 were insufficient superior support (OR=3.35, 95%CI:1.56-7.17) , poor physical environment (OR=3.61, 95%CI: 1.91-6.80), and fewer positive affectivity (OR=3.47, 95%CI: 1.75-6.82). The risk factor of job dissatisfaction among freight train drivers in 1996 and in 2012 were insufficient superior support (OR (95%CI) were 3.11 (2.31-4.19), 2.59 (1.84-3.65) , respectively).@*Conclusion@#The level of occupational stress among train engine drivers in 2012 was larger than that in 1996, the level of occupational stress among freight train drivers was larger than passenger train drivers, the interventions aimed at reducing occupational stress in the Chinese train engine drivers should take into account promotion for design of job organization and contents and organization management style.
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Objective@#To establish an HPLC method for determining p-Anisidine in workplace air.@*Methods@#An C18 capillary column was used with the detection wavelength of 240 nm, the methanol solution (v/v=62:38) as mobile phase, the flow rate was 0.9 ml/min, and the injection volume was 20 μl.@*Results@#The linear range (μg/ml) for p-Anisidine was 0~100; correlation coefficient was 0.999 7; the detection limit was 0.15 μg/ml; the average precision of RSD was 4.4%. The sampling efficiency was more than 95% using silicone tube as sampling filter. Sample can be stored at room temperature for more than 7 d.@*Conclusion@#the method appered to be accurate, simple, sensitive and reliable, also have a high sampling efficiency, and can be usd to determine p-anisidine in workplace air simultaneously.
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Objective@#To explore relationship between depressive symptoms and occupational stress in locomotive drivers.@*Methods@#By using cluster sampling method, a cross-sectional study was conducted in 1413 train drivers (including passenger train drivers301, freight train drivers 683, passenger shunting train drivers350, and high speed train drivers79) from a railway bureau. The individual factors, depression, occupational stress, strains, personalities, coping strategy and social support were measured using occupational stress instruments, job content questionnaire and effort-reward imbalance questionnaire.@*Results@#CThe differences of depression scores between take exercise and don't exercise groups were statistical significance (P<0.01) . The differences of depression scores among different age, length of service, job category, educational status,marital status, smoking and drinking groups were`t statistical significance (P>0.05) .Correlation analysis revealed that depression score was related negatively to reward, job satisfaction, self-esteem, promotion opportunities, working stability and positively emotions score (P<0.01) , related positively to sleep disorders, effort, physiological needs, psychological need, daily stress, negative emotions, social support, esponsibility for person, responsibility for thing, conflict in the group, role conflict, role ambiguity score (P<0.01) . Nonparametric test analysis found that train drivers with high depression score reported higher psychological need, effort, promotion opportunities, role ambiguity, role conflict, conflict between groups, responsibility for person, responsibility for thing, physiological needs, daily stress, negative emotions, social support and copping strategies than those with moderate and lower depression score (P<0.01) , but the scores of job satisfaction, reword, self-esteem, working stability, positive emotions were lower than other groups those with moderate and lower depression score (P<0.01) . Multivariate logistic regression analysis revealed the risk of depression for drivers with more sleep disorder, low social support more than three times as high as that for drivers with few sleep disorder, hing social support (OR=3.615,3.266) .High negative emotions, more psychological need, high daily stress were more than twice times as high as that for drivers with low negative emotions, few psychological need, low daily stress (OR:2.444、2.489、2.065) .@*Conclusion@#sleep disorder, low social support and job stress had larger effect on depression. To improve sleep, social support, self-esteem and decrease job stress and negative emotions are main measures of decrease depression for train drivers.
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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 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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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 association between etheno-DNA adduct and the promoter of DNA methylation levels of cyclin dependent kinase inhibitor 2A (P16), Ras association domain family 1 (RASSF1A) and O-6-methylguanine-DNA methyltransferase (MGMT) in workers with occupational exposure to diesel engine exhaust (DEE).@*Methods@#We recruited 124 diesel engine testing workers as DEE exposure group and 112 water pump operator in the same area as control group in Henan province in 2012 using cluster sampling. The demographic data were obtained by questionnaire survey; urine after work and venous blood samples were collected from each subject. The urinary etheno-DNA adducts were detected using UPLC-MS/MS, including 1,N6-etheno-2'-deoxyadenosine (εdA) and 3,N4-etheno-2'-deoxycytidine(εdC). The DNA methylation levels of P16, RASSF1A, and MGMT were evaluated using bisulfite-pyrosequencing assay. The percentage of methylation was expressed as the 5-methylcytosine (5mC) over the sum of cytosines (%5mC). Spearman correlation and multiple linear regression were applied to analyze the association between etheno-DNA adducts and DNA methylation of P16, RASSF1A, and MGMT.@*Results@#The median (P25-P75) of urinary εdA level was 230.00 (98.04-470.91) pmol/g creatinine in DEE exposure group, and 102.10 (49.95-194.48) creatinine in control group. The level of εdA was higher in DEE exposure group than control group (P<0.001). DNA methylation levels of P16, RASSF1A and MGMT were 2.04±0.41, 2.19 (1.94-2.51), 2.22 (1.94-2.46)%5mC in exposure group, and 2.19±0.40, 2.41 (2.11-2.67), 2.44 (2.15-2.91)%5mC in control group. DNA methylation levels were lower in exposure group (P values were 0.005, 0.002 and 0.001, respectively). Spearman correlation analysis showed that DNA methylation levels of P16, RASSF1A, and MGMT were negative associated with urinary εdA level (r values were -0.155, -0.137, and -0.198, respectively, P<0.05). No significant correlation was observed between the εdC level and any measured DNA methylation levels (P>0.05) . Multiple linear regression confirmed the negative correlation between εdA and DNA methylation levels of P16, RASSF1A, and MGMT in non-smoking group (β (95%CI) was -0.068 (-0.132--0.003), -0.082 (-0.159--0.004) and -0.048 (-0.090--0.007), P values were 0.039, 0.039 and 0.024, respectively). Moreover, εdC was negative associated with DNA methylation level of MGMT in non-smoking group (β (95%CI) was -0.094 (-0.179--0.008), P=0.032).@*Conclusion@#DEE exposure could induce the increased of εdA and decreased of DNA methylation levels of P16, RASSF1A and MGMT.
ABSTRACT
Objective@#To explore the mediating role of over-commitment in the relationship between occupational stressors and job burnout, and to offer more specificevidence-based information in exploring the work related health effects of over-commitment.@*Methods@#A total of 1994 samples from electronic manufacturing service industry were collected in Guangdong province based on self-rated questionnaire after written consent from June to July, 2015. The Effort-Reward Imbalance questionnaire and Maslach Burnout Invertory-General Survey were used for the measurement of occupational stress and job burnout. And hierarchical regression and Bootstrap test were conducted for data analysis.@*Results@#High effort (0.28, 0.24-0.33) and low reward (-0.37, -0.42--0.33) were significantly associated with high over-commitment when gender, age and position had been controlled. Standardizedregression coefficient of effort to emotional exhaustion, depersonalization and personal accomplishment were 0.63 (95%CI: 0.54-0.71) 、0.18 (95%CI: 0.10-0.26) 、0.32 (95%CI: 0.21-0.43) , P<0.05; and standardized regression coefficient of reward to emotional exhaustion, depersonalization and personal accomplishment were-0.60 (95%CI: -0.68--0.52) 、-0.93 (95%CI: -1.01--0.86) 、-0.46 (95%CI: -0.35--0.58) , P<0.05. Bootstrap test indicated the mediation of over-commitment were statistically significant, and mediating effect ranges from 0.093 to 0.218 (P<0.05) .@*Conclusion@#Over-commitment can mediate the relationship between occupational stressors (job effort and reward) and burnout, and the effect varies from different workingconditions.