Exposure to cadmium and lead is associated with diabetic kidney disease in diabetic patients.

BACKGROUND: Cadmium (Cd) and lead (Pb) exhibit nephrotoxic activity and may accelerate kidney disease complications in diabetic patients, but studies investigating the relation to diabetic kidney disease (DKD) have been limited. We aimed to examine the associations of Cd and Pb with DKD in diabetic patients. METHODS: 3763 adults with blood metal measurements and 1604 adults with urinary ones who were diabetic from National Health and Nutrition Examination Survey (NHANES) 2007-2016 were involved. Multivariate logistic regression models were used to analyze the associations of blood Cd (BCd), blood Pb (BPb), urinary Cd (UCd), and urinary Pb (UPb) with DKD. RESULTS: BPb, BCd, and UCd levels were higher among participants with DKD than diabetics without nephropathy, but UPb performed the opposite result. BPb and UCd were significantly associated with DKD in the adjusted models (aOR, 1.17 (1.06, 1.29);1.52 (1.06, 2.02)). Participants in the 2nd and 3rd tertiles of BPb and BCd levels had higher odds of DKD, with a significant trend across tertiles, respectively (all P-trend < 0.005). Multiplication interaction was also identified for BPb and BCd (P for interaction = 0.044). CONCLUSION: BPb, BCd, and UCd were positively associated with the risk of DKD among diabetic patients. Furthermore, there were the dose-response relationship and multiplication interaction in the associations of BPb, BCd with DKD.

Effects of environmental and genetic interactions on job burnout in coal miners: interactions between occupational stress, coping styles, and NR3C2 gene polymorphisms.

Objectives: To investigate the current situation regarding occupational burnout among coal miners, explore the relationship between NR3C2 gene polymorphism and occupational burnout, and analyze the influence of the interaction between environment and gene on occupational burnout. This study provides a scientific basis for formulating health strategies to combat job burnout. Methods: A total of 1,500 first-line coal mine workers were selected by cluster random sampling, and the job burnout scale, job content questionnaire (JCQ), and simplified coping style questionnaire (SCSQ) were used for the questionnaire survey. A total of 150 workers were randomly selected from the high burnout group and the low burnout group, and a total of 300 workers were selected as the research objects to examine the relationship between gene polymorphism, environment-gene interactions and burnout. This study employed iMLDRTM genotyping technology for NR3C2 gene (rs5522, rs2070950) polymorphism analysis. The relationship between the occurrence of job burnout, occupational stress, coping styles and the NR3C2 gene was analyzed. Results: Finally, a total of 1,282 valid questionnaires were retrieved, with an effective recovery rate of 85.5%. The study included 128 participants (10%) with zero burnout, 400 (31.2%) with mild burnout, 649 (50.6%) with moderate burnout and 105 (8.2%) with severe burnout. There were significant differences in the rate of burnout among miners with respect to sex, age, working years, educational level, shifts, and marital status (P < 0.05). The difference in occupational stress between the different job burnout groups was statistically significant (P < 0.05). Compared with the GG genotype of rs2070950 of the NR3C2 gene, the CC genotype was identified as a susceptibility gene for occupational burnout (P < 0.05). In respect to rs5522, rs2070950, occupational stress, positive coping, and negative coping, the low-risk group was unlikely to suffer from job burnout compared with the high-risk group (OR = 0.103, 95%CI: 0.058-0.182). Conclusion: In addition to demographic characteristics, occupational stress and negative coping styles were also identified as risk factors for job burnout. The interaction between locus rs5522, locus rs2070950, occupational stress, positive response, and negative response were found to affect the incidence of occupational burnout.

Vibration and Noise Analysis and Experimental Study of Rail Conveyor.

The rail conveyor is a new type of energy-saving system for the long-distance transportation of bulk materials. Operating noise is an urgent problem that the current model faces. It will cause noise pollution and affect the health of workers. In this paper, the factors causing vibration and noise are analyzed by modeling the wheel-rail system and the supporting truss structure. Based on the built test platform, the system vibration of the vertical steering wheel, the track support truss, and the track connection were measured, and the vibration characteristics at different positions were analyzed. Based on the established noise and vibration model, the distribution and occurrence rules of system noise under different operating speeds and fastener stiffness conditions were obtained. The experimental results show that the vibration amplitude of the frame near the head of the conveyor is the largest. The amplitude under the condition of 2 m/s running speed at the same position is 4 times that under the condition of 1 m/s. At different welds of the track, the width and depth of the rail gap have a great influence on the vibration impact, which is mainly due to the impact of the uneven impedance at the track gap, and the greater the running speed, the more obvious the vibration impact. The simulation results show the trend of noise generation, the speed of the trolley, and the stiffness of the track fasteners have a positive effect on the generation of noise in the low-frequency region. The research results of this paper will play an important role in the noise and vibration analysis of rail conveyors and help to optimize the structure design of the track transmission system.

The interaction of occupational stress, mental health, and cytokine levels on sleep in Xinjiang oil workers: A cross-sectional study.

Background: Sleep occupies one third of a person's life, and good sleep quality is an important factor to ensure good health. Purpose: This study investigated and analyzed the occupational stress, mental health and sleep quality of oil workers, analyzed the effects of occupational stress and mental health on sleep, and explored the effects of the interaction between occupational stress, mental health and cytokines on sleep. Materials and methods: In this study, stratified cluster random sampling was used to conduct a cross-sectional survey on the occupational stress, mental health and sleep quality of 1,141 oil workers in the Occupational Health Examination Department of Karamay Central Hospital, from June 2019 to January 2020, and 30% of the participants were randomly selected for measurement of their cytokine levels: interleukin 2 (IL-2), interleukin 6 (IL-6), interleukin 8 (IL-8), and tumor necrosis factor α (TNF-α). The objectives were to analyze the effects of occupational stress and mental health on sleep quality, and to explore the effects of occupational stress, mental disorders and cytokine interactions on sleep. Results: There were 646 individuals (56.6%) who suffered from sleep disorders; the incidence of sleep disorders differed according to sex, age, professional title, working years, type of work and shift (P < 0.05). The scores for occupational stress, mental health, and sleep quality were positively correlated (P < 0.05). Multivariate logistic regression analysis showed that age (30-45 years) (OR = 1.753, 95% CI: 1.067-2.881), junior college and above (OR = 1.473, 95% CI: 1.025-2.118), borehole operation (OR = 2.689, 95% CI: 1.508-4.792), extraction of oil (OR = 2.405, 95% CI: 1.229-4.705), drilling (OR = 1.791, 95% CI: 1.017-3.155), shift work (OR = 2.144, 95% CI: 1.615-2.846), occupational stress (OR = 1.007, 95% CI: 1.002-1.013), and mental disorders (OR = 1.020, 95% CI: 1.009-1.032) are risk factors for sleep disorders. In the high occupational stress group and the mental disorders group as the control group, the results showed that the interaction between IL-2 and moderate occupational stress (OR = 0.778, 95% CI: 0.778-0.942), IL-2 and non-mental disorders (OR = 0.398, 95% CI: 0.398-0.468) were protective factors for the occurrence of sleep disorders. The results of structural equation modeling analysis showed that occupational stress and mental health had positive predictive effects on IL-2 level and sleep quality [normalized path coefficients (ß) were 0.10\0.06\0.05\0.71, respectively]. Occupational stress had a direct positive predictive effect on mental disorder (ß = 0.25), and sleep disorder had a direct negative predictive effect on IL-2 concentration (ß = -0.21). Conclusion: Oil workers have serious sleep problems, so effective measures should be taken to reduce occupational stress and relieve mental health problems, and cytokine levels can be used as a predictor of sleep disorders.

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.

The relationship between occupational stress and job burnout in coal miners: Interactions between GCCR and SLC6A4 gene polymorphisms and the environment.

OBJECTIVE: To understand the current situation of job burnout among coal miners in Xinjian. The effects of occupational stress, GCCR and SLC6A4 gene polymorphisms, and gene-environment interactions on job burnout in coal miners were analyzed. This study provides a scientific basis for formulating health strategies to combat job burnout in the future. METHODS: The job burnout scale and job content questionnaire (JCQ) were used to investigate the general situation of job burnout among coal miners and its influencing factors. The imLDRTM multiple SNP typing kit was used to type 300 samples (150 samples from the burnout case group and 150 from the control group). The relationship between the occurrence of job burnout, and the GCCR and SLC6A4 genes was analyzed. RESULTS: There were significant differences in the rate of burnout among miners of different sexes, ages, working years, shifts, working types, and marital status (P < 0.05). The difference in occupational stress between the different job burnout groups was statistically significant (P < 0.05). The GG genotype at rs41423247 increased the risk of burnout (OR=3.224, 95% CI:1.425-7.294). Similarly, compared to the TT genotype at rs11080122, the CC genotype increased the susceptibility of job burnout (OR =2.614, 95% CI:1.047-6.527). The results of gene-environment interaction regression analyses showed that the interaction between rs41423247, rs17209237, and occupational stress increased the risk of job burnout (OR = 5.049, 95% CI = 2.371-10.750). CONCLUSION: In addition to demographic characteristics, occupational stress was also a risk factor for job burnout. The interaction between rs41423247 and rs17209237 of the GCCR gene and occupational stress increased the risk of job burnout.