Background Occupational stress has become one of the main factors affecting people's physical and mental health, and there are many sources of occupational stress in petrochemical enterprises.
Objective To evaluate the current situation of occupational stress and its related factors among employees in a petrochemical enterprise, and to provide a scientific basis for reduing the risk of occupational stress among employees in petrochemical enterprises.
Methods In June 2022, a cross-sectional questionnaire survey was conducted in a petrochemical enterprise in Hainan, including a general information questionnaire for basic information, the Effort-Reward Imbalance (ERI) for occupational stress, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. Chi-square test was used to compare differences in positive occupational stress by demographic characteristics, occupational characteristics, behavior, and occupational disease hazards. Logistic regression was employed to evaluate factors associated with occupational stress.
Results Of the 1129 questionnaire distributed, a total of 999 valid questionnaire were returned,with a valid recovery rate of 88.5%. The positive rate of occupational stress among employees in the petrochemical enterprise was 29.5%. There were statistically significant differences in the positive rate of occupational stress among the employees grouped by gender, age, marital status, body mass index (BMI), monthly income, length of service, smoking, weekly working hours, type of work, working mode, sleep quality, noise exposure, and high temperature exposure (P<0.05). In terms of positive occupational stress among subcategories: workers being male (vs. female), working ＞40 h per week (vs. ≤40 h per week), regular day shift (vs. shift work), smoking (vs. not smoking), with exposure to noise and heat (vs. without such exposure), and having poor sleep quality (vs. good sleep quality) reported higher positive occupational stress rates (P＜0.05). The results of pairwise comparison showed that the positive rate of occupational stress in divorced (50.0%) or married (32.0%) workers was higher than that in single (27.1%) workers, and higher in operation workers (30.6%) than in other types of work (20.5%) (P＜0.05). The trend chi-square results showed that the positive rate of occupational stress increased linearly with the increase of age, length of service, BMI, or monthly income (P＜0.05). The results of logistic regression analysis after adjustment showed that workers who worked ＞40 h a week had a higher risk of occupational stress than those who worked ≤40 h a week, and the OR (95%CI) was 1.909 (1.135, 3.211); the workers of other types of work had a lower risk of reporting occupational stress than operation workers, and the OR (95%CI) was 0.513 (0.272, 0.968); the workers with noise exposure had a higher risk of occupational stress than the workers without, and the OR (95%CI) was 2.457 (1.070, 5.642).
Conclusion The positive rate of occupational stress among employees in this petrochemical enterprise is high. Among them, operators, working hours per week＞40 h, and noise exposure may increase the incidence of occupational stress. The enterprise should actively take measures to reduce the occurrence of occupational stress among employees.
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