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Background Sleep disorders in occupational groups will seriously affect their physical and mental health and work efficiency. Oil workers are a special occupational group, and their working environment factors may lead to occupational stress and job burnout, and the occurrence of sleep disorders. Objective To investigate the current situation of sleep disorders in oil workers and analyze the the effects of occupational stress, job burnout, and their interactions on sleep disorders. Methods From May to November 2019, 2300 oil workers were selected by multi-stage cluster sampling, and their occupational stress, job burnout, and sleep disorders were evaluated using the Effort-Return Imbalance (ERI), the Maslach Burnout Inventory－General Survey, and the Pittsburgh Sleep Quality Index (PSQI). The influencing factors of sleep disorders were analyzed using binary logistic regression, and the effect of the interaction between occupational stress and job burnout on sleep disorders were evaluated after adjusting for selected confounding factors. Results Of the 2300 questionnaires distributed, after excluding invalid questionnaires, a total of 2060 questionnaires were valid and the valid recovery rate was 89.57%. There were 1069 males (51.89%) and 991 females (48.11%), and the average age was (40.89±8.22) years old. The prevalence rate of sleep disorders among the oil workers was 34.76%, and the differences among different gender, age, working age, type of work, shift system, education and marital status groups was statistically significant (P < 0.05); 986 (47.86%) workers experienced occupational stress, and the prevalence rates were higher in males (57.06%), age group ≥45 years (52.63%), technical secondary school and below education group (51.87%) ,working age group > 15 years (50.47%), oil transportation workers (50.95%), shift workers (56.34%), and workers with a monthly income > 4000 yuan (51.70%); 1749 workers (84.90%) experienced job burnout, of which the prevalence rate of moderate burnout was higher (50.68%). Except the subjective sleep quality of oil workers between different occupational stress groups (Z=−1.02, P=0.308), the total score of PSQI and the scores of remaining dimensions were varied among different occupational stress and job burnout groups (P < 0.05). The results of multiple regression analysis found that being females, age ≥ 30 years, working age ≥ 15 years, oil transportation workers, shift work, severe burnout, and occupational stress were associated with an increased risk of reporting sleep disorders (P<0.05); the interaction between occupational stress and severe burnout led to a 11.403-fold increase in the risk of reporting sleep disorders (OR=11.403, 95% CI: 5.107-25.462). Conclusion Oil workers are experiencing poor sleep quality, and occupational stress, job burnout and their interaction would increase the risk of sleep disorders.
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Background The current oil production determines oil workers’ occupational noise exposure. Without effective protection, noise will affect various aspects of worker’s body functions, including acting on the adrenal cortex system and resulting in renal function damage. Objective To evaluate the associations of noise exposure and its cumulative exposure level with renal function impairment of oil workers. Methods Oil workers from a collective medical examination in a hospital were selected as the study subjects. In accordance with the national standard Measurement of Physical Agents in the Workplace Part 8: Noise (GBZ/T 189.8—2007), noise exposure was measured three times at the oil workers' work site, and their average value was calculated to obtain the cumulative noise exposure (CNE). A questionnaire survey was conducted to collect general information such as socio-demographic characteristics, family history, lifestyles, and occupational history. All blood biochemical indicators were measured in the fasting state. Renal function impairment was judged based on the glomerular filtration rate. The relationship between CNE and renal function was analyzed using receiver operating characteristic curve (ROC) for workers with noise exposure. Results A total of 2 917 subjects were included in the study and their prevalence of renal function impairment was 14.2%. The univariate analysis results suggested statistically significant differences in the prevalence of renal function impairment among the oil workers grouped by having hypertension or not, gender, age, marital status, marital status, smoking, and alcohol consumption (P＜0.05); the prevalence of renal impairment was significantly higher in those with abnormal values of uric acid, total cholesterol, triglycerides, high-density lipoprotein, and fasting glucose than in those with normal values (P＜0.05); the oil workers with noise exposure [n=1565, 53.7%, equivalent sound level ≥80 dB(A)] showed a higher prevalence of renal function impairment than those without (P＜0.05). The results of multiple logistic regression analysis showed that being female (OR=2.811, 95%CI: 1.960-4.030), age at 31 years and above (OR31-40=3.502, 95%CI: 1.402-8.751; OR41-50=4.255, 95%CI: 1.759-10.291; OR≥51=7.179, 95%CI: 2.864-17.996), showing abnormal uric acid (OR=5.932, 95%CI: 4.486-7.843), having hypertension (OR=1.593, 95%CI: 1.230-2.063), alcohol consumption (OR=2.648, 95%CI: 1.346-5.212), and smoking (OR=1.816, 95%CI: 1.133-2.911) had higher risks of developing renal function impairment; besides, those exposed to noise had 1.351 times (95%CI: 1.073-1.702) higher risks of developing renal function impairment than non-exposed individuals. Noise-exposed oil workers in the renal impairment group had higher noise exposure intensity and CNE compared to the noise-exposed oil workers in the normal renal function group (P＜0.05), and the workers had an increased risk of renal function impairment when the CNE was >95.85 dB(A)·year versus CNE ≤ 95.85 dB(A)·year (OR=2.583, 95%CI: 1.956-3.411). Conclusion Exposure to noise, higher noise exposure intensity, and higher level of CNE may be associated with developing renal function impairment in oil workers. Oil workers with CNE above 95.85 dB(A)·year are at an increased risk of renal impairment.
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OBJECTIVE: To explore the current situation of job burnout, sleep quality and working ability and the association among them in oil workers. METHODS: A total of 2 086 oil workers from six oil field companies in a city of Xinjiang Uygur Autonomous Region were selected as the study subjects using a typical sampling method. The job burnout level, sleep quality and working ability were measured respectively by the Maslach Burnout Inventory-General Survey, Pittsburgh Sleep Quality Index and Work Ability Index Questionnaire. RESULTS: The average score of job burnout in the study subjects was(48.6±11.0), the median and the 25 th, 75 th percentile of sleep quality and working ability scores were 6.0(5.0, 8.0) and 39.0(36.0, 42.0) respectively. There was a negative correlation between job burnout and working ability, or sleep quality and working ability [spearman correlation coefficient(r_S) were-0.28 and-0.21, all P<0.01]. There was a positive correlation between job burnout and sleep quality(r_S=0.19, P<0.01). The structural equation model results showed that both job burnout and sleep quality had a direct effect on working ability of oil workers [normalized path coefficient(β) were-0.29 and-0.27, respectively, all P<0.01]. Job burnout could indirectly affect working ability through reducing sleep quality(β=-0.12, P<0.01). CONCLUSION: The higher the degree of job burnout and the poorer the sleep quality, the lower their working ability in oil workers. Oil workers with a higher degree of job burnout can lead to poorer sleep quality, which in turn leads to a decline in their working ability.
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OBJECTIVE: To explore the relationship between shift work and type 2 diabetes in oil workers. METHODS: A total of 2 666 oil workers in an oil group were selected as the study subjects using the typical sampling method. Questionnaire survey was conducted by a self-designed Questionnaire of Health Assessment for Oil Workers, and blood glucose level was measure. RESULTS: The prevalence of type 2 diabetes in the study subjects was 10.1%(268/2 666). The prevalence of type 2 diabetes in shift workers was higher than that in non-shift workers(13.1% vs 6.0%, P<0.01). After adjusting for the influence of confounding factors such as gender, body mass index, family history of diabetes, history of hypertension, history of hyperlipidemia, and physical exercise, multivariate logistic regression analysis results show that the longer the shift work length, the higher the risk of developing type 2 diabetes(P<0.01), workers with shift work(3 shifts in a day, 2 shifts operating) had a higher risk of type 2 diabetes than that in non-shift workers(P<0.05). CONCLUSION: The shift work length and shift workers with 3 shifts in a day, 2 shifts operating can increase the risk of type 2 diabetes in oil workers.
