Relationships of work stress and interpersonal needs with industrial workers' mental health: a moderated mediation model.

OBJECTIVES: This study explores whether feelings of defeat (i.e., a sense of failed struggle and losing rank; referred to as defeat for simplicity) mediated the effect of work stress on depression/anxiety, the effect of interpersonal needs on depression/anxiety for Chinese industrial workers, and the possible moderating role of social support. METHOD: A cross-sectional study was conducted in Shenzhen, China in 2019, in total, 2023 industrial workers (of 2700 invited; response rate = 75%) completed a self-administered survey consisted of Job Stress Scale, Interpersonal Needs Questionnaire, Defeat Scale, Centre for Epidemiological Studies Depression Scale, Generalized Anxiety Disorder Scale, two face-valid questions for social support, as well as sociodemographic information. Moderated mediation model was tested and loop plots were applied to probe into the conditional effects of work and interpersonal stress on depression and anxiety symptoms. RESULT: Both the direct and indirect effect of work stress on depression and anxiety through defeat were significant (Work stress→ Depression: B = 0.035, p < .001, Work stress→ Defeat→ Depression: B = 0.034, p < .001; Work stress→ Anxiety: B = 0.038, p < .001, Work stress→ Defeat→ Anxiety: B = 0.045, p < .001). Meanwhile, defeat mediated the relationship of interpersonal needs with depression partially and the relationship of interpersonal needs with anxiety totally (Interpersonal needs→ Anxiety: B = 0.133, p < .001, Interpersonal needs→ Defeat→ Anxiety: B = 0.010, p = .537). Social support moderated the indirect path between interpersonal needs and depression/anxiety and buffered the effect. CONCLUSION: The mediating role of defeat and the moderator role of social support in the relationship between stress and depression/anxiety were confirmed in industrial workers. Workers who reported more work and interpersonal stress would report more defeat feelings, and then exhibited more depression and anxiety symptoms; this mediation effect was stronger for those who had lower social support, respectively.

Evaluation of Laboratory Management Based on a Combination of TOPSIS and RSR Methods: A Study in 7 Provincial Laboratories of China.

In this study, a comprehensive evaluation of management for pathogenic microbiology laboratories is performed based on a combination of Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Rank Sum Ratio (RSR) methods; in addition, the basis for improving laboratory management is provided. Using the laboratory evaluation tool developed by World Health Organization and a combination of TOPSIS and RSR methods, a system of evaluation indicators for the management of Chinese pathogenic microbiology laboratories is established for comprehensively evaluating the pathogenic microbiology laboratories of seven provincial Centers for Disease Control and Prevention. The evaluation system includes 12 primary indicators and 37 secondary indicators. In terms of laboratory management, the seven laboratories were ranked as D, G, E, C, F, B, and A in descending order. None of these laboratories were evaluated as "good" or "poor." One of the laboratories was marked as "relatively poor" (A), two as "medium" (B and F), and four as "relatively good" (C, E, G, and D). In this study, a method for evaluating laboratory management using the TOPSIS and RSR methods is proposed, and a basis for comprehensively evaluating laboratory management for pathogenic microbiology laboratories is provided to reflect management practices.

A framework for evaluating county-level non-point source pollution: Joint use of monitoring and model assessment.

It is believed that non-point source (NPS) pollution threatens the regional environment. Because of the disconnection between the hydrological scale and the administrative scale of implementing feasible management policies in existing research, watershed-based management measures have limited application in current NPS control. In this study, a framework for county-level monitoring and evaluation is proposed, which contains a cascade monitoring scheme and an adaptable assessment scheme. The cascade monitoring scheme is based on the principle of "pollution source-transport pathways-receiving waters" layout method and the adaptable assessment scheme makes full use of monitoring data in the model. A set of processes was designed to monitor and assess county-level NPS pollution, from the initial step of county basic situation investigations to the final step of NPS pollution assessment. Two schemes are included in the process to improve the feasibility of the results. Here, the importance of the joint use of monitoring and simulation for environmental policy and management is stressed, and focus is on the characteristics of administrative boundaries. A case study involving Nanle County is presented, and a detailed layout scheme and the assessment results are given in this paper.

Small GTPases SAR1A and SAR1B regulate the trafficking of the cardiac sodium channel Nav1.5.

BACKGROUND: The cardiac sodium channel Nav1.5 is essential for the physiological function of the heart and causes cardiac arrhythmias and sudden death when mutated. Many disease-causing mutations in Nav1.5 cause defects in protein trafficking, a cellular process critical to the targeting of Nav1.5 to cell surface. However, the molecular mechanisms underlying the trafficking of Nav1.5, in particular, the exit from the endoplasmic reticulum (ER) for cell surface trafficking, remain poorly understood. METHODS AND RESULTS: Here we investigated the role of the SAR1 GTPases in trafficking of Nav1.5. Overexpression of dominant-negative mutant SAR1A (T39N or H79G) or SAR1B (T39N or H79G) significantly reduces the expression level of Nav1.5 on cell surface, and decreases the peak sodium current density (INa) in HEK/Nav1.5 cells and neonatal rat cardiomyocytes. Simultaneous knockdown of SAR1A and SAR1B expression by siRNAs significantly reduces the INa density, whereas single knockdown of either SAR1A or SAR1B has minimal effect. Computer modeling showed that the three-dimensional structure of SAR1 is similar to RAN. RAN was reported to interact with MOG1, a small protein involved in regulation of the ER exit of Nav1.5. Co-immunoprecipitation showed that SAR1A or SAR1B interacted with MOG1. Interestingly, knockdown of SAR1A and SAR1B expression abolished the MOG1-mediated increases in both cell surface trafficking of Nav1.5 and the density of INa. CONCLUSIONS: These data suggest that SAR1A and SAR1B are the critical regulators of trafficking of Nav1.5. Moreover, SAR1A and SAR1B interact with MOG1, and are required for MOG1-mediated cell surface expression and function of Nav1.5.