The purpose of this study was to assess the major risk factors for hypertension in oil workers, and investigate the effect of occupational stress on the incidence of hypertension after controlling for other risk factors. A prospective cohort approach was used following enrollment of 1354 oil workers. The occupational stress experienced by oil workers was higher than for the general population in China. By the end of the cohort study, 231 new cases of hypertension among the oil workers had been diagnosed. The cumulative incidence of hypertension was 17.06%. There were 44, 112, and 75 workers who developed hypertension in the low, intermediate, and high occupational stress groups, which represented a 12.0%, 15.6%, and 20.3% cumulative incidence, respectively (chi-square value = 9.812, p < 0.01). Multivariate Cox proportional hazard model analysis showed that type of work, cigarette smoking, excess body weight, and obesity were risk factors for hypertension (p < 0.05). After risk factors such as type of work, cigarette smoking, alcohol consumption, and body mass index (BMI) were controlled, the hypertension risk (hazard ratio, HR) in the high occupational stress group was 1.549 (1.072–2.236) compared to the low exposure group, and 2.337 (1.191–4.585) in female subjects. Our study indicated that an increase in occupational stress was associated with an increased risk of hypertension after other factors were adjusted.

Job strain is a major concern in view of its effects among civil servants associated with job burnout, mental fatigue and chronic diseases. The objective of this study was to assess the job strain level among civil servants and examine the effect of job strain on job burnout, mental fatigue and the resulting chronic diseases. A cross-sectional study with a representative sample consisting of 5000 civil servants was conducted from March to August 2014. Using a structured questionnaire, the job strain level, job burnout and mental fatigue were measured by using the Personal Strain Questionnaire (PSQ), Maslach Burnout Inventory (MBI) and Multidimensional Fatigue Inventory (MFI-20), respectively. Overall, 33.8% of the civil servants were found to be afflicted with high and moderate job strain. The characteristics of most of the civil servants with a higher-job strain level were as follows: female, Uygur, lower educational level and job title rank, shorter working experience, married marital status, and lower income level. Civil servants suffering from chronic disease mainly had hypertension and coronary heart disease, which accounted for 18.5% of the diseases. Civil servants with a high-job strain level exhibited higher rates of burnout, mental fatigue scores and incidence of chronic diseases. There was a multiple linear regression model composed of three predictor variables in job burnout, which accounted for 45.0% of its occurrence: female gender, lower-income level, higher-job strain in civil servants, the greater the rate of job burnout was. Four factors—male gender, lower-job title rank, higher-job strain, shorter-job tenure of civil servants—explained 25.0% of the mental fatigue model. Binary logistic regression showed that intermediate-rank employees (OR = 0.442, 95% CI: 0.028–0.634; p < 0.05), job tenure of 10–20 years (OR = 0.632, 95% CI: 0.359–0.989; p < 0.05), and low-job strain (OR = 0.657, 95% CI: 0.052–0.698; p < 0.05) were all associated with significantly lower odds of chronic disease. The risk of chronic disease was higher in civil servants with high-job burnout scores and mental fatigue scores compared with civil servants with lower scores (OR = 1.139, 95% CI: 1.012–3.198; OR = 1.697, 95% CI: 1.097–2.962). These data provide evidence for the effects of job strain on job burnout, mental fatigue and chronic diseases among civil servants.

This study aims to investigate the relationships of personality and social support with posttraumatic stress disorder (PTSD) after traffic accidents. The 90 Symptom Checklist (SCL-90) and Eysenck Personality Questionnaire (EPQ) were completed 1 week after trauma. The Checklist-Civilian Version (PCL-C) was surveyed 3 months after discharge. PCL-C score of 38 was used as cutoff point. The older age and lower education significantly increased the PTSD incidence. SCL-90 score was positively correlated with PTSD symptom score. The psychoticism (P) (0.230) and neuroticism (N) (0.302) was positively correlated with PTSD symptom score in a linear relationship. Objective support, subjective support, exploitation degree, and social support were negatively associated with PTSD scores. Force symptoms, psychoticism, subjective support, introversion, and extroversion could explain 65.0% of degree of variation for PTSD with the estimated standard error of 4.758. PTSD associated social factors include force symptoms, psychoticism, subjective support, introversion, and extroversion.

The present study aims to investigate psychological stress and its determinants in Xinjiang field oil workers. Specifically, we aim to elucidate the mechanisms underlying psychological stress by comprehensively and quantitatively evaluating the processes involved in psychological stress, the factors which influence it, and their relationship. The participants were 1200 field oil workers in Xinjiang who had been in service for at least 1 year. A structural equation model based on data from the symptom checklist, social support research scale, personality questionnaire, occupational burnout questionnaire, and occupational stress questionnaire was constructed to investigate the social (environmental) factors that influence physiological stress and the interplay among these factors. The positive incidence of psychological stress in the field oil workers in Xinjiang was 12.54%. The structural equation model indicated that the main factors that influenced psychological stress in these workers included social support (0.077), occupational role (0.165), personal strain response (0.139), personality (0.189), and occupational burnout (0.380). Among these factors, occupational role, personality, and occupational burnout had a relatively strong predictive power for psychological stress reactions. The cortisol level in workers with positive psychological stress was significantly higher than that in workers with negative psychological stress. Occupational stress, personality, and occupational burnout exert an impact on psychological stress in field oil workers. Therefore, interventions to address these factors should be taken to reduce the incidence of psychological stress.

Objective: To establish a prognostic signature for lung adenocarcinoma (LUAD) based on cuproptosis-related long non-coding RNAs (lncRNAs), and to study the immune-related functions of LUAD. Methods: First, transcriptome data and clinical data related to LUAD were downloaded from the Cancer Genome Atlas (TCGA), and cuproptosis-related genes were analyzed to identify cuproptosis-related lncRNAs. Univariate COX analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate COX analysis were performed to analyze the cuproptosis-related lncRNAs, and a prognostic signature was established. Second, univariate COX analysis and multivariate COX analysis were performed for independent prognostic analyses. Receiver operating characteristic (ROC) curves, C index, survival curve, nomogram, and principal component analysis (PCA) were performed to evaluate the results of the independent prognostic analyses. Finally, gene enrichment analyses and immune-related function analyses were also carried out. Results: (1) A total of 1,297 cuproptosis-related lncRNAs were screened. (2) A LUAD prognostic signature containing 13 cuproptosis-related lncRNAs was constructed (NIFK-AS1, AC026355.2, SEPSECS-AS1, AL360270.1, AC010999.2, ABCA9-AS1, AC032011.1, AL162632.3, LINC02518, LINC0059, AL031600.2, AP000346.1, AC012409.4). (3) The area under the multi-indicator ROC curves at 1, 3, and 5 years were AUC1 = 0.742, AUC2 = 0.708, and AUC3 = 0.762, respectively. The risk score of the prognostic signature could be used as an independent prognostic factor that was independent of other clinical indicators. (4) The results of gene enrichment analyses showed that 13 biomarkers were primarily related to amoebiasis, the wnt signaling pathway, hematopoietic cell lineage. The ssGSEA volcano map showed significant differences between high- and low-risk groups in immune-related functions, such as human leukocyte antigen (HLA), Type_II_IFN_Reponse, MHC_class_I, and Parainflammation (P < 0.001). Conclusions: Thirteen cuproptosis-related lncRNAs may be clinical molecular biomarkers for the prognosis of LUAD.

Objective: To understand the prevalence among underground coal miners of musculoskeletal disorders (MSDs), analyze the risk factors affecting MSDs, and develop and validate a risk prediction model for the development of MSDs.Materials and methods: MSD questionnaires were used to investigate the prevalence of work-related musculoskeletal disorders among 860 underground coal miners in Xinjiang. The Chinese versions of the Effort-Reward Imbalance Questionnaire (ERI), the Burnout Scale (MBI), and the Self-Rating Depression Inventory (SDS) were used to investigate the occupational mental health status of underground coal miners. The R4.1.3 software cart installation package was applied to randomly divide the study subjects into a 1:1 training set and validation set, screen independent predictors using single- and multi-factor regression analysis, and draw personalized nomogram graph prediction models based on regression coefficients. Subject work characteristic (ROC) curves, calibration (Calibrate) curves, and decision curves (DCA) were used to analyze the predictive value of each variable on MSDs and the net benefit.Results: (1) The prevalence of MSDs was 55.3%, 51.2%, and 41.9% since joining the workforce, in the past year, and in the past week, respectively; the highest prevalence was in the lower back (45.8% vs. 38.8% vs. 33.7%) and the lowest prevalence was in the hips and buttocks (13.3% vs. 11.4% vs. 9.1%) under different periods. (2) Underground coal miners: the mean total scores of occupational stress, burnout, and depression were 1.55 ± 0.64, 51.52 ± 11.53, and 13.83 ± 14.27, respectively. (3) Univariate regression revealed a higher prevalence of MSDs in those older than 45 years (49.5%), length of service > 15 years (56.4%), annual income <$60,000 (79.1%), and moderate burnout (43.2%). (4) Binary logistic regression showed that the prevalence of MSDs was higher for those with 5–20 years of service (OR = 0.295, 95% CI: 0.169–0.513), >20 years of service (OR = 0.845, 95% CI: 0.529–1.350), annual income ≥$60,000 (OR = 1.742, 95% CI: 1.100–2.759), and severe burnout (OR = 0.284, 95% CI: 0.109–0.739), and that these were independent predictors of the occurrence of MSDs among workers in underground coal mine operations (p < 0.05). (5) The areas under the ROC curve for the training and validation sets were 0.665 (95% CI: 0.615–0.716) and 0.630 (95% CI: 0.578–0.682), respectively, indicating that the model has good predictive ability; the calibration plots showed good agreement between the predicted and actual prevalence of the model; and the DCA curves suggested that the predictive value of this nomogram model for MSDs was good.Conclusion: The prevalence of MSDs among workers working underground in coal mines was high, and the constructed nomogram showed good discriminatory ability and optimal accuracy.