Associations between occupational stress and demographic characteristics in petroleum workers in the Xinjiang arid desert

Correlation analysis between occupational stress and metabolic syndrome in workers of a petrochemical enterprise: based on two assessment models of occupational stress

BACKGROUND

Occupational stress is becoming a common phenomenon around the world. Being in a high occupational stress state for a long time may destroy the metabolic balance of the body, thereby increasing the risk of metabolic diseases. There is limited evidence regarding the correlation between occupational stress and metabolic syndrome (MetS), particularly in the petrochemical workers.

METHODS

A total of 1683 workers of a petrochemical enterprise in China were included in the survey by cluster sampling method. The occupational stress assessment was carried out by the Job Content Questionnaire and the Effort-Reward Imbalance Questionnaire, and the general demographic characteristics, work characteristics, occupational hazards, lifestyle and health examination data of the participants were collected. Logistic regression and multiple linear regression were used to analyze the correlations and influencing factors between occupational stress and its dimensions with MetS and its components.

RESULTS

A total of 1683 questionnaires were sent out, and 1608 were effectively collected, with an effective recovery rate of 95.54%. The detection rates of occupational stress in Job Demand-Control (JDC) and Effort-Reward Imbalance (ERI) models were 28.4% and 27.2%, respectively. In this study, 257 participants (16.0%) were diagnosed with MetS. Compared with the non-MetS group, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG) and fasting blood-glucose (FBG) levels were significantly higher in the MetS group, and high density lipoprotein-cholesterol (HDL-C) levels were significantly lower (P < 0.001). The results of multiple linear regression showed that after adjusting for nation, marital status, education, work system, smoking and drinking, and further adjusting for occupational hazards, the D/C ratio was significantly negatively correlated with SBP in the JDC model. Social support was negatively correlated with WC. In the ERI model, there was a significant positive correlation between over-commitment and FBG.

CONCLUSIONS

The detection rates of occupational stress and MetS were high in workers of a petrochemical enterprise. In the JDC model, occupational stress was negatively correlated with SBP, and social support was negatively correlated with WC. In the ERI model, there was a significantly positive correlation between over-commitment and FBG.

Association of polycyclic aromatic hydrocarbon metabolite concentration in urine and occupational stress in underground coal miners in China: propensity score and bayesian kernel machine regression

This study intends to examine the association of urinary monohydroxyl PAHs (OH-PAHs) concentration and occupational stress in coal miners. We sampled 671 underground coal miners from Datong, China, assessed their occupational stress using the Occupational Stress Inventory-Revised edition (OSI-R), and categorized them into the high stress miners and controls based on that. We determined urinary OH-PAHs concentration using ultrahigh performance liquid chromatography-tandem mass spectrometry, and analyzed its association with occupational stress using multiple linear regression, covariate balancing generalized propensity score (CBGPS), and Bayesian kernel machine regression (BKMR). The low molecular weight (LMW) OH-PAHs in quartile or homologue was significantly positively associated with Occupational Role Questionnaire (ORQ) and Personal Strain Questionnaire (PSQ) score, but was not associated with Personal Resources Questionnaire (PRQ) score. The OH-PAHs concentration was positively associated with ORQ and PSQ scores in coal miners, particularly the LMW OH-PAHs. Non-association was found in the OH-PAHs with PRQ score.

Determinants of Workplace Productivity Decline in the Tunisian Onshore Oil and Gas Industry

Background

This study explored the impact of occupational stress, personal factors, and physical conditions on work productivity decline (WPD) among workers in the Tunisian onshore oil and gas industry.

Methods

We conducted a cross-sectional survey among 246 onshore oil installation workers of a Tunisian private oil company. 94 employees (48%) participated in this study. We used the Job Content Questionnaire to evaluate occupational stress and the Work Productivity and Activity Impairment Questionnaire to assess the WPD.

Results

Data were analysed using R software. This study exclusively included male workers, with an average age of 41.1 ± 9.5 years. Binary logistic regression analysis identified low social support and job-strain situation as the most associated risk factors (OR >3). The random forest model suggested that professional category, job-strain situation, low social support, and iso-strain situation were the most important variables in predicting WPD.

Conclusion

These data provided evidence that petroleum workers faced a monotonous lifestyle in the workplace, leading to high levels of occupational stress that affected their work productivity. This study is the first in Tunisia in the oil sector.

The relationship between occupational stress, mental health and work ability of coal chemical workers in Xinjiang

OBJECTIVE

To understand the current working ability of coal chemical workers in Xinjiang, and analyze the impact of occupational stress, mental disorders, and their interaction on work ability. To provide a scientific basis for improving the working ability and quality of life of coal chemical workers.

METHODS

In this study, a stratified random sampling method was used to conduct a questionnaire survey of 1,400 workers in six coal mining enterprises from June to December 2019. The Effort-Reward Imbalance Questionnaire (ERI), the Symptoms Checklist 90 (SCL-90), and the Work Ability Index Scale (WAI) were used to evaluate the level of occupational stress, mental disorders, and the ability to work as coal chemical workers.

RESULTS

The results showed that WAI scores had statistically significant differences between gender, age, length of service, shift, education, marital status, and monthly income (P < 0.05). The ability to work and its dimensions were inversely correlated with occupational stress, and mental disorders (P < 0.001). Occupational stress and mental disorders are risk factors affecting the ability to work. Workers with high occupational stress^* mental disorders (OR = 10.666, 95% CI: 6.443-17.658) are 10.666 times more likely to be at risk for developing poor work ability than low occupational stress^* no mental disorders. Structural equation models show that occupational stress and mental health conditions had a direct impact on work ability, and mental health conditions were the mediators of the relationship between occupational stress and work ability.

CONCLUSION

Occupational stress, mental disorders, and their interaction are risk factors affecting the ability of coal chemical workers to work. Occupational stress can indirectly affect the ability to work through mental health conditions.

Research on the Effects of Occupational Stress and the DRD2 Gene on the Psychological Health of Workers in the Xinjiang Desert Oil Field

Background: This study investigated the relationship between occupational stress and the mental health of people working in oil fields in the arid desert environment of Xinjiang, and revealed the causal relationship between occupational stress and psychological disorders, while furthermore exploring the relationship between psychological disorders and genetic levels. Methods: The participants of this study included oil field company workers from the Xinjiang Petroleum Administration of Karamay City, Xinjiang, who underwent occupational health examinations. The Occupational Stress Inventory Revised Edition (OSI-R) was used to measure the occupational stress of the oil workers. The mental health status of oil workers was evaluated using the Symptoms Checklist-90. Results: Occupational tasks: The total scores of the personal strain and mental health questionnaires were positively correlated with somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, terror, paranoia, and psychosis (P < 0.05). Individual coping resources and the mental health total score was negatively correlated with somatization, obsessive-compulsive symptoms, interpersonal sensitivity, anxiety, hostility, terror, paranoia, and psychosis. The following factors were identified as mental health risk factors: female gender; age 45 and above (relative to ≤30 years old); high scores on the personal strain questionnaire; occupational stress; external effort; internal investment; and high effort-low return. The following factors were identified as protective factors for mental health: Han nationality; oil transportation (relative to drilling); individual resilience; and work returns. In respect to the abnormal psychological group and the normal psychological group, statistically significant differences were found in the distribution of genotypes and allele frequencies at the rs1800497 locus (P < 0.05). The depression and paranoia scores observed between different genotype groups at the rs1800497 locus were statistically significant (P < 0.05). Conclusions: This study shows that occupational stress and the D2 dopamine receptor (DRD2) gene have an impact on the mental health of oil field workers in the arid desert environment of Xinjiang. Effort-reward imbalance and occupational stress were identified as risk factors for mental health, while rewards for work were protective factors. Higher levels of occupational stress may lead to depression and other psychological disorders, adversely affecting mental health. In oil field operators in the arid desert environment of Xinjiang, the AA genotype of the DRD2 gene in the rs1800497 locus was identified as a genotype specific to susceptibility to mental health problems, and a correlation was found between the A allele and an increased risk of psychological problems. Therefore, it is necessary to devise relevant measures to alleviate occupational stress among oil workers and increase their job rewards, so as to improve their mental health.

Investigating Group-Specific Models of Hospital Workers’ Well-Being: Implications for Algorithmic Bias

Hospital workers often experience burnout due to the demanding job responsibilities and long work hours. Data yielding from ambulatory monitoring combined with machine learning algorithms can afford us a better understanding of the naturalistic processes that contribute to this burnout. Motivated by the challenges related to the accurate tracking of well-being in real-life, prior work has investigated group-specific machine learning (GS-ML) models that are tailored to groups of participants. We examine a novel GS-ML for estimating well-being from real-life multimodal measures collected in situ from hospital workers. In contrast to the majority of prior work that uses pre-determined clustering criteria, we propose an iterative procedure that refines participant clusters based on the representations learned by the GS-ML models. Motivated by prior work that highlights the differential impact of job demands on well-being, we further explore the participant clusters in terms of demography and job-related attributes. Results indicate that the GS-ML models mostly outperform general models in estimating well-being constructs. The GS-ML models further depict different degrees of predictive power for each participant cluster, as distinguished upon age, education, occupational role, and number of supervisees. The observed discrepancies with respect to the GS-ML model decisions are discussed in association with algorithmic bias.

Prevalence of current and former smoking in industrial workers worldwide: a systematic review and meta-analysis

OBJECTIVES

One of the health problems in recent decades is the prevalence of smoking in the world. In this study, the global prevalence of smoking in industrial workers was investigated using meta-analysis.

METHOD

The method of the present study was a systematic review and meta-analysis. Three scientific sources, PubMed, Web of Science, and Scopus, were selected for the search, and these databases were searched until September 2020. Random effects method was used for the analysis and then the analysis was performed for the type of smoking (Current, Former), gender, and continent. Heterogeneity was examined in all analyses.

RESULT

A total of 88 studies were included in the meta-analysis. The prevalence of smoking in industrial workers was 41% also the confidence interval was 35-48%. The prevalence of current smoking in industrial workers was 39% also the confidence interval was 29-48%. The prevalence of former smoking in industrial workers was 18% also the confidence interval was 13-22%. I² heterogeneity test was 99.9%.

DISCUSSION

From the findings of the present study, it can be seen that industrial workers are more exposed to smoking compared to the general population, and this can put their health at greater risk.