Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Objective: To explore the changes in ribosomal DNA copy number in peripheral blood among patients with pneumoconiosis and its influencing factors, so as to provide insights into prevention and treatment of pneumoconiosis. Methods: Eighty-eight patients with pneumoconiosis who visited a designated hospital and 71 community residents with no history of pneumoconiosis or dust exposure were selected as the pneumoconiosis group and control group, and age, smoking history, drinking history and cumulative years of exposure to dust were collected through questionnaire surveys. The copy number of 45S rDNA and 5S rDNA was detected using real-time fluorescence quantitative PCR, and the differences between the two groups were compared. Factors affecting the copy number of 45S rDNA and 5S rDNA were identified by a multiple linear regression model. Results: The pneumoconiosis group had a median age of 56.00 (interquartile range, 15.25) and a mean cumulative dust exposure duration of (12.40±8.08) years, with 56.82% smoking and 62.50% drinking. The control group had a median age of 64.00 (interquartile range, 37.00) years, with 32.39% smoking and 26.76% drinking. The median copy number of 45S rDNA in the pneumoconiosis group was 1.29 (interquartile range, 0.59), which was lower than 2.10 (interquartile range, 1.88) in the control group; the median copy number of 5S rDNA in the pneumoconiosis group was 5.33 (interquartile range, 0.85), which was higher than 4.66 (1.34) in the control group (both P<0.05). Multiple linear regression analysis identified age (β=-0.034) and pneumoconiosis (β=-1.595) as factors affecting 45S rDNA copy number, age (β=-0.013) as a factor affecting 5S rDNA copy number, and age (β=0.018) as a factor affecting 5S rDNA copy number in the pneumoconiosis group (all P<0.05). Conclusions Compared with community residents with no history of pneumoconiosis or dust exposure, the copy number of 45S rDNA in peripheral blood among patients with pneumoconiosis is reduced and the copy number of 5S rDNA is increased.

Objective: To analyze the semen quality parameters of sperm donor volunteers, so as to provide insights into male infertility control and related research. Methods: A total of 155 sperm donors were recruited from the Human Sperm Bank of Zhejiang Province using the convenience sampling method from January to March 2021. Demographic information were collected through questionnaire surveys. Semen were collected, and parameters including semen volume, sperm concentration, total number of sperm, forward motility rate and total sperm viability were measured. Semen quality was evaluated according to the WHO Laboratory Manual for the Examination and Processing of Human Semen. : Results Conclusion There were 20.65% of the 155 sperm donors with unqualified semen, and the unqualified rates of forward motility rate and total sperm viability were relatively high.

Objective:To explore the prognostic value of BRCA1-associated protein 1 (BAP1) expression loss in patients with malignant mesothelioma (MM) .Methods:A total of 82 MM patients from January 1998 to December 2017 in Zhejiang Province were selected to detect the expression of BAP1 protein by immunohistochemical analysis. Kaplan-Meier method was used to draw the survival curve, and multivariate Cox proportional risk model was used to analyze the factors affecting the survival rate.Results:Among 82 MM patients, 61 (74.4%) were female, aged (57±11) years. BAP1 protein expression was deficient in 39 patients (47.6%). The survival rate was correlated with the loss of BAP1 protein expression and age (χ 2=5.27, 5.66, P=0.022, 0.017). Subgroup analysis showed that loss of BAP1 protein expression was associated with better prognosis in MM patients <57 years of age, female, pleural MM, epithelial MM, and treated with drugs or surgery ( P<0.05). Multivariate model results showed that positive expression of BAP1 protein ( HR=3.75, 95% CI: 2.23-6.30, P<0.001) and age ≥57 years ( HR=1.66, 95% CI: 1.01-2.72, P=0.049) were risk factors for survival in patients with MM. Conclusion:Loss of BAP1 protein expression may be an independent prognostic factor in patients with MM, which is associated with longer survival.

Objective:To explore the prognostic value of BRCA1-associated protein 1 (BAP1) expression loss in patients with malignant mesothelioma (MM) .Methods:A total of 82 MM patients from January 1998 to December 2017 in Zhejiang Province were selected to detect the expression of BAP1 protein by immunohistochemical analysis. Kaplan-Meier method was used to draw the survival curve, and multivariate Cox proportional risk model was used to analyze the factors affecting the survival rate.Results:Among 82 MM patients, 61 (74.4%) were female, aged (57±11) years. BAP1 protein expression was deficient in 39 patients (47.6%). The survival rate was correlated with the loss of BAP1 protein expression and age (χ 2=5.27, 5.66, P=0.022, 0.017). Subgroup analysis showed that loss of BAP1 protein expression was associated with better prognosis in MM patients <57 years of age, female, pleural MM, epithelial MM, and treated with drugs or surgery ( P<0.05). Multivariate model results showed that positive expression of BAP1 protein ( HR=3.75, 95% CI: 2.23-6.30, P<0.001) and age ≥57 years ( HR=1.66, 95% CI: 1.01-2.72, P=0.049) were risk factors for survival in patients with MM. Conclusion:Loss of BAP1 protein expression may be an independent prognostic factor in patients with MM, which is associated with longer survival.

Objective To isolate and culture neural crest cells(NCCs)from lung tissue of mice and to identify the characteristics of the cells in order to provide a new cell model for studying lung injury and injure repair.Methods The mT/mG dual-fluorescence reporter mice and Wnt1-Cre transgenic mice were hybridized,and mT/mG;Wnt1-Cre transgenic mice were screened to obtain enhanced green fluorescent protein(EGFP)permanently labeled NCCs.Cell suspension of mouse lung tissue was prepared by enzymolysis.EGFP+cells(namely NCCs)were har-vested by flow cytometry.Primary culture was performed with DMEM/F12 culture medium optimized in the labora-tory,NCCs was characterized by immunofluorescence microscopy.Then NCCs differentiation was directed by mouse bone marrow mesenchymal stem cells osteogenic induction.Results The mT/mG of EGFP permanently labeled NCCs was successfully obtained by hybridization and high-purity NCCs were isolated from Wnt1-Cre transgenic mice lung tissue.They can be cultured in vitro and with spindle morphology which was,similar to fibroblast adherent proliferation.NCCs expressed the neural crest stem cell marker Sox10 and induced to differentiate into osteoblasts.Conclusions NCCs isolated and cultured from lung tissue of mT/mG;Wnt1-Cre transgenic mice show stable prolif-eration and have the characteristics of neural crest stem cells,which may function as a potential cell model for re-search on lung tissue injury and the mechanism of repair.

{L-End}Objective To analyze the effects of night shift work and overweight/obesity on blood pressure of workers in chemical fiber industry. {L-End}Methods A total of 1 004 workers of a chemical fiber factory were selected as the study subjects using convenient sampling method, and their blood pressure and body mass index were measured. Multiple linear regression model was used to analyze the relationship between night shift work and blood pressure, and multiple logistic regression was used to assess the independent impact and combined impact of night shifts and overweight/obesity on the risk of hypertension. {L-End}Results Compared with the non-night shift workers, the prevalence of hypertension in night shift workers was increased (5.3% vs 13.0%, P<0.05), with elevated systolic and diastolic blood pressure (both P<0.05). The results of multiple linear regression analysis showed that the systolic blood pressure and diastolic blood pressure of the night shift workers were higher than those of the non-night shift workers (both P<0.05), and the systolic blood pressure and diastolic blood pressure of overweight/obesity workers were higher than those of non-overweight/obesity workers (both P<0.01). The results of multiple logistic regression analysis showed that the risk of hypertension in night shift workers and overweight/obesity workers was higher than that in non-night shift workers and non-overweight/obesity workers [odds ratio (OR) and 95% confidence interval (CI) were 2.49 (1.04-5.99) and 2.65 (1.77-3.95), both P<0.05]. Night shift work and overweight/obesity showed a synergistic effect on blood pressure of workers. Compared to non-overweight/obesity non-night shift workers, overweight/obesity night shift workers had a higher risk of hypertension (OR=4.93, 95%CI: 1.70-14.29, P<0.01). {L-End}Conclusion Night shift work could lead to elevated blood pressure in workers in the chemical fiber industry, which is a potential risk factor for hypertension. The synergistic effect of night shift work and overweight/obesity may contribute to the increased risk of hypertension.

Objective: To establish a convenient non-invasive tracheal perfusion method for constructing a mouse model of silicosis-induced pulmonary fibrosis. Methods: The specific pathogen-free C57BL/6 mice were randomly divided into control group and model group, with 15 mice in each group. After anesthesia, a 22G arteriovenous indwelling needle was used to inset into the trachea through the mice's mouth. The model group mice were perfused with 0.1 mL of silica suspension with a mass concentration of 25 g/L, and the mice in the control group were perfused with an equal volume of 0.9% sodium chloride solution. On the 7th, 14th, and 30th day after modeling, the body weight of the mice was measured, and the lung tissue morphology and pathological changes were observed. The expression of α-smooth muscle actin (α-SMA) and collagen type 1 alpha 1 (COL1A1) protein in lung tissue of mice was detected by immunofluorescence on the 30th day after modeling. Results: There was no death of mice in the two groups during the experiment. There was no significant difference in body weight between the two groups (P>0.05). The lung tissues of the mice in the model group were pinkish-gray and uneven in color on the 7th and 14th days after dust exposure. On the 30th day after dust exposure, the lung tissue of the mice in the model group was gray and hard, and unevenly distributed silicon nodules were visible by the naked eyes. The histopathology results of lung tissue showed that compared with the mice in control group, the model group mice exhibited persistent aggravation of pulmonary inflammation, thickening of alveolar septum, infiltration of inflammatory cells gradually clustering into clumps, and an increasing number of fibrous foci.On the 30th day after dust exposure, the relative expression of α-SMA and COL1A1 proteins in the lung of the model group was higher than those in the control group (median： 72.59 vs 5.91, 35.62 vs 10.07, both P<0.05). Conclusion: The method of tracheal perfusion silica suspension of mice using 22G arteriovenous indwelling needle can successfully construct an animal model of silicosis fibrosis. This method is convenient, safe and effective, and is worth promoting.

BACKGROUND: Management of gastric leak after sleeve gastrectomy (SG) is challenging due to its unpredictable outcomes. We aimed to summarize the characteristics of SG leaks and analyze interventions and corresponding outcomes in a real-world setting. METHODS: To retrospectively review of 15,721 SG procedures from 2010 to 2020 based on a national registry. A cumulative sum analysis was used to identify a fitting curve of gastric leak rate. The Kaplan-Meier method and log-rank tests were performed to calculate and compare the probabilities of relevant outcomes. The logistic regression analysis was conducted to determine the predictors of acute leaks. RESULTS: A total of 78 cases of SG leaks were collected with an incidence of 0.5% (78/15,721) from this registry (6 patients who had the primary SG in non-participating centers). After accumulating 260 cases in a bariatric surgery center, the leak rate decreased to a stably low value of under 1.17%. The significant differences presented in sex, waist circumference, and the proportion of hypoproteinemia and type 2 diabetes at baseline between patients with SG leak and the whole registry population ( P = 0.005, = 0.026, <0.001, and = 0.001, respectively). Moreover, 83.1% (59/71) of the leakage was near the esophagogastric junction region. Leakage healed in 64 (88.9%, 64/72) patients. The median healing time of acute and non-acute leaks was 5.93 months and 8.12 months, respectively. Acute leak (38/72, 52.8%) was the predominant type with a cumulative reoperation rate >50%, whereas the cumulative healing probability in the patients who required surgical treatment was significantly lower than those requring non-surgical treatment ( P = 0.013). Precise dissection in the His angle area was independently associated with a lower acute leak rate, whereas preservation ≥2 cm distance from the His angle area was an independent risk factor. CONCLUSIONS Male sex, elevated waist circumference, hypoproteinaemia, and type 2 diabetes are risk factors of gastric leaks after SG. Optimizing surgical techniques, including precise dissection of His angle area and preservation of smaller gastric fundus, should be suggested to prevent acute leaks.
Humans ; Male ; Retrospective Studies ; Diabetes Mellitus, Type 2/complications* ; Obesity, Morbid ; Anastomotic Leak/epidemiology* ; Gastrectomy/methods* ; Reoperation/methods* ; Registries ; Laparoscopy/methods* ; Treatment Outcome

Background As one of the common tools for job burnout assessment, Maslach Burnout Inventory-General Survey (MBI-GS), its reliability and validity across different populations in China have not been examined yet. Objective To evaluate the reliability and validity of General Burnout Scale (GBS) by multiple occupational groups through the translation and preliminary test of MBI-GS. Methods Based on the Special Project of Occupational Hazards in Key Populations led by the Institute of Occupational Health and Poison Control, China CDC, key occupational groups in five typical industries were selected by multi-stage stratified cluster sampling, including teachers, firefighters, manufacturing workers, medical staff, and traffic police. Confirmatory factor analysis (CFA) was used to evaluate the construct validity of GBS by single-factor, two-factor, and three-factor structure models. The model fitness was assessed by ratio of the chi-square statistic to the respective degrees of freedom (χ²/ν), root mean square error of approximation (RMSEA), goodness-of-fit index (GFI), comparative fit index (CFI), and parsimony-adjusted non-normed fit index (PNFI). Spearman correlation analysis was used to calculate the criterion validity of GBS with occupational stress, depressive symptoms, and sleep disorders. Cronbach's α coefficient and composite reliability (CR) coefficient were used to evaluate the internal consistency reliability of GBS. Results A total of 3485 subjects were surveyed in this study, 3375 valid questionnaires were recovered with a valid response rate of 96.84%. The results of CFA showed that in the adjusted three-factor structure model of GBS (exhaustion, cynicism, and professional efficacy), the χ²/ν < 4, the RMSEA ranged from 0.032 to 0.069, the GFI > 0.90, the CFI > 0.90, and the PNFI > 0.70, which illustrated a good fitness than that of the single- or the two-factor structure models in different occupational groups. The Spearman correlation analysis results showed that occupational stress, depressive symptoms, and sleep disorders were positively correlated with exhaustion and cynicism dimensions, and negatively correlated with professional efficacy dimension of the GBS, with the \begin{document}$ \left| r \right| $\end{document} ranging from 0.139 to 0.662 (P<0.05) in overall subjects. For traffic police and firefighters, professional efficacy was not correlated with depressive symptoms or sleep disorders (P>0.05). The Cronbach's α coefficients ranged from 0.819 to 0.899, and the CR values ranged from 0.941 to 0.978 in different occupational groups. Conclusion The GBS shows high reliability and validity, as well as good application effects in different occupational groups.