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OBJECTIVE: To explore the influencing factors of depressive symptom of employees in a mould-producing enterprises using two occupational stress models. METHODS: A total of 457 employees in a mould-producing enterprise were selected as study subjects using cluster sampling method. The Center for Epidemiological Study-Depression Scale, the Chinese version of Job Demand Content Questionnaire and the Effort-Reward Imbalance Questionnaire were used to investigate the level of depressive symptom and occupational stress by the job demand control(JDC) model and effort reward imbalance(ERI) model. RESULTS: Among the 457 employees, the median score of depressive symptom was 11.00, the detection rate of depressive symptom in the subjects was 23.4%(107/457). The incidence of occupational stress by the JDC and ERI models was 78.3%(358/457) and 62.6%(286/457), respectively. The rate of depressive symptom was statistically higher in the high occupational stress group than that of the low occupational stress group by the ERI model(26.6% vs 18.1%, P<0.05). The multivariate logistic regression analysis showed that both marital status and monthly income were influencing factors of depressive symptom by the JDC model(P<0.05). The marital status, monthly income and occupational stress were influencing factors of depressive symptom by the ERI model(P<0.05). The risk of depressive symptom was statistically higher in the high occupational stress group than that of the low occupational stress group(P<0.05). CONCLUSION: Employees in mould-producing enterprise have some depressive symptom. The marital status, monthly income and occupational stress by the ERI model are the main influencing factors of depressive symptom.
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OBJECTIVE: To explore the status of occupational stress and its influencing factors in medical radiation workers using two occupational stress measurement models. METHODS: A total of 632 medical radiation workers from Guangdong Province were selected as the study subjects using cluster sampling method. Chinese version of Job Content Questionnaire and Effort Reward Imbalance Questionnaire were used to assess occupational stress with job demand-control( JDC) and effort-reward imbalance( ERI) models. RESULTS: The rate of occupational stress in the study subjects was 43. 8%( 277/632) using the JDC model. The rate of occupational stress was 38. 6%( 244/632) using the ERI model. The multivariate logistic analysis results showed that the risk of JDC occupational stress was higher in workers with more than 8 hours work daily and more than 40 hours weekly( P < 0. 01). The risk of ERI occupational stress was higher in the workers with age of30. 0-40. 0,public medical institutions,daily work more than 8 hours and weekly work more than 40 hours( P < 0. 01).CONCLUSION: Under the two theoretical models,medical radiation workers have a certain degree of occupational stress. The age,medical institution type,daily and weekly work hours are the main factors affecting occupational stress.
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Objective@#To investigate the current status and influencing factors of occupational stress among couriers.@*Methods@#Couriers (n=925) were selected on this study used cluster sampling method from January to March 2018. They were from SF and Zhongtong Express Co., Ltd., on the Wechat platform, and surveyed by a job stress questionnaire based on a job demand-control model.Valid questionnaires(n=617) were obtained.@*Results@#A total of 418 workers were occupational stress positive (67.7%). The results of Chi-square analysis showed that there were significant differences in occupational stress among workers categorized by job position, working years, mealtime, sleeping time, and weekly work time (P<0.05). The multivariate logistic analysis indicated that non-regular meals, short-term sleep and less than 0.5 working years were risk factors for occupational stress(P<0.05).@*Conclusion@#Couriers generally have occupational stress. The main influencing factors are job position, working years mealtime, sleeping time, and weekly work time. It is necessary to guide healthy lifestyle, rationally organize labor and assign tasks, and improve working environment to relieve their occupational stress.
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OBJECTIVE: To explore the effects of psychological capital on occupational stress of employees in labor-intensive electronic enterprises. METHODS: A total of 1 723 employees in 5 labor-intensive electronic enterprises were selected as study subjects by cluster sampling method. The Psychological Capital Questionnaire and Simple Job Stress Questionnaire were used to investigate their psychological capital and job demand-control( JDC) occupational stress. The effect of psychological capital on occupational stress was analyzed. RESULTS: Total average score of psychological capital of the study subjects was( 4. 4 ± 0. 7). The average scores of self-efficacy,hope,resilience,optimism dimensions were( 4. 3 ± 0. 9),( 4. 5 ± 0. 8),( 4. 5 ± 0. 8) and( 4. 4 ± 0. 7),respectively. The proportions of active,relaxed,nervous and passive occupational stress accounted for 24. 2%,24. 7%,23. 5% and 27. 6% respectively. The detection rate of JDC mode high occupational stress was 68. 7%( 1 184/1 723). The proportion of active occupational stress of the low-psychologicalcapital group was lower( 28. 3% vs 20. 2%,P < 0. 001),the proportion of passive occupational stress was higher( 23. 4% vs 31. 7%,P < 0. 001),the positive rate of JDC high occupational stress was higher( 63. 3% vs 74. 1%,P <0. 01),compared with the high-psychological-capital group. The multivariate logistic analysis showed that the risk of JDC high occupational stress in the low-psychological-capital group was higher than that in the high-psychological-capital group( P < 0. 01),after eliminating the confounding factors such as length of service,education level and personal monthly income. CONCLUSION: The psychological capital of employees in labor-intensive electronics enterprises was associated with the occupational stress of the JDC model. The occupational stress can be reduced by improving the psychological capital of workers.
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OBJECTIVE: To investigate occupational stress and its influencing factors in workers of electronic manufacturing.METHODS: The judgment sampling method was used to select 2 251 workers as study subjects. The Simple Occupational Stress Questionnaire and the Effort-Reward Imbalance( ERI) Questionnaire were used to investigate job demand-control(JDC) and ERI occupational stress respectively. RESULTS: Among the 2 251 workers,the prevalence rates of high occupational stress in JDC and ERI models were 56. 4% and 10. 1%,respectively. The positive rate of JDC occupational stress was higher than that of ERI( P < 0. 01). The multivariate logistic analysis indicated that workers with assembly line had higher risk of JDC and ERI occupational stress than workers without assembly line( P < 0. 05). Workers with labor dispatching had higher risk of JDC and ERI occupational stress than workers with long-term contract( P < 0. 05). Workers exposed to occupational hazards had higher risk of JDC and ERI occupational stress than workers not exposed to occupational hazards( P < 0. 05). Workers with disease had higher risk of JDC and ERI occupational stress than healthy workers( P < 0. 05). CONCLUSION: JDC is the main occupational stress model in workers of electronics manufacturing factory. The main influencing factors are assembly line,labor dispatching,weekly work time,exposure to occupational hazards and illness.
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OBJECTIVE: Structural equation modeling was used to explore the relationship between mental health and social psychological factors. METHODS: Using multi-stage sampling method,1 200 first-line production workers working in enterprises were chosen as study subjects. Chinese version of the WHO-5 well-being Index,and Social Psychological Factors Questionnaire(a self-designed questionnaire based on job demands control model) were used to investigate the mental health and social psychological factors. The structural equation modeling of social psychological factors on mental health was constructed. RESULTS: Among the 1 200 workers,about 34. 8% workers had poor psychological well-being(the score of the WHO-5 well-being Index is equal or less than 13). Job demands and job autonomy were available and have direct effect on work-related pressure [standardized path coefficient(β) were 0. 162 and-0. 186,P < 0. 05]. Job demands,job autonomy and work-related pressure were available have direct effect on mental health(β were-0. 136,0. 235 and-0. 135,P < 0. 05). Job demands can have an indirect effect on mental health through work-related pressure(β =-0. 022,P < 0. 05),and job autonomy can have an indirect effect on mental health through work-related pressure(β = 0. 025,P < 0. 05). CONCLUSION: The results of mental health and social psychological factors are consistent with the job demand control model. Job demands and work-related pressure are risk factors and job autonomy is a protective factor for mental health. Mental health intervention should be taken according to the related factors.
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OBJECTIVE: To investigate the occupational stress level and its influencing factors among employees in a power supply enterprise. METHODS: By cluster stratified random sampling method,251 workers in a power supply enterprise were selected as study subjects. The Simple Occupational Stress Questionnaire and the Chinese version of Effort-Reward Imbalance( ERI) Questionnaire were used to investigate and evaluate their job demand-control( JDC) and ERI occupational stress situation respectively. The related influencing factors were analyzed. RESULTS: Among the 251 workers,the positive rates of JDC high occupational stress and ERI high occupational stress were 74. 5%( 187 /251) and 22. 7%( 57 /251),respectively. The positive rate of JDC high occupational stress was higher than that of ERI occupational stress( P < 0. 01). The multivariate logistic analysis results indicated the risk of JDC high occupational stress in married workers was higher than that in single workers( P < 0. 05),workers with day-time working > 8 hours had higher risk of JDC high occupational stress than those workers with day-time working ≤8 hours( P < 0. 05). The male workers had higher risk of ERI high occupational stress than female workers( P < 0. 05). CONCLUSION: The main occupational stress model of workers in the power supply enterprise is the JDC model. The main influencing factors were marital status,day-time working hours and gender.