1.Actively carrying out prevention and control of occupational injuries, and promoting comprehensive protection of workers' health
Xiaojun ZHU ; Yishuo GU ; Jingguang FAN
Journal of Environmental and Occupational Medicine 2025;42(2):127-132
During the career life cycle, workers may face various health problems such as occupational injuries, occupational diseases, and work-related diseases. How to comprehensively protect the health of workers is a crucial scientific issue that needs to be solved urgently. Workers show the characteristics of co-exposure to multiple occupational risks or co-existence of multiple health conditions in their occupational activities. Occupational injuries are closely related to occupational diseases and work-related diseases. To carry out prevention and control of occupational injuries in the context of "big health", we should further strengthen the systematic approach and highlight the concept of "overall process" and "all-round". That is to establish an occupational injury surveillance system covering the whole process of surveillance-assessment-intervention and the evaluation of intervention effects, and to set up the joint prevention and control strategy of occupational injuries, occupational diseases, and work-related diseases. This will promote the implementation of efficient and intensive health management at government, society, employers, workers and other levels to achieve all-round protection of workers' health. When exploring the possible effects of job burnout, occupational stress, comorbidity, and other factors on occupational injuries, the introduction of machine learning methods provides a new approach to identifying and analyzing the influencing factors of occupational injuries and to exploring potential underlying mechanisms.
2.Impact factor selection for non-fatal occupational injuries among manufacturing workers by LASSO regression
Yingheng XIAO ; Chunhua LU ; Juan QIAN ; Ying CHEN ; Yishuo GU ; Zeyun YANG ; Daozheng DING ; Liping LI ; Xiaojun ZHU
Journal of Environmental and Occupational Medicine 2025;42(2):133-139
Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of
3.Characteristics and influencing factors of occupational injuries among workers in a cable manufacturing enterprise
Ting XU ; Juan QIAN ; Yishuo GU ; Daozheng DING ; Jianjian QIAO ; Yong QIAN ; Xiaojun ZHU ; Jingguang FAN
Journal of Environmental and Occupational Medicine 2025;42(2):140-144
Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.
4.Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model
Ting XU ; Juan QIAN ; Yishuo GU ; Daozheng DING ; Jianjian QIAO ; Yong QIAN ; Xiaojun ZHU ; Jingguang FAN
Journal of Environmental and Occupational Medicine 2025;42(2):145-150
Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate
5.Influencing factors of occupational injury in construction workers of European Union based on Boruta algorithm and logistic regression
Zhian LI ; Lin ZHANG ; Peng ZHANG ; Xiaojun ZHU
Journal of Environmental and Occupational Medicine 2025;42(2):151-156
Background Construction workers represent a high risk group for occupational injuries. Currently, domestic and international studies examining the factors affecting occupational injuries among construction workers focus on demographic and behavioural characteristics. However, there is limited attention to psychosocial, use of digital technology, and health status of workers. Objective To analyze the occurrence of occupational injuries among workers in the construction industry, explore impacts of psychosocial risk, use of digital technology, health status, and preventive measures at the workplace on occupational injuries, and provide a basis for the development of preventive measures. Methods Publicly available data from the European Union Occupational Safety and Health Administration were retrieved, comprising a sample of
6.Exploration of predicting occupational injury severity based on LightGBM model and model interpretability method
Youhua MO ; Peng ZHANG ; YiShuo GU ; Xiaojun ZHU ; Jingguang FAN
Journal of Environmental and Occupational Medicine 2025;42(2):157-164
Background Light gradient boosting machine (LightGBM) has become a popular choice in prediction models due to its high efficiency and speed. However, the "black box" issues in machine learning models lead to poor model interpretability. At present, few studies have evaluated the severity of occupational injuries from the perspective of LightGBM model and model interpretability. Objective To evaluate the application value of LightGBM models and model interpretability methods in occupational injury prediction. Methods The Mine Safety and Health Administration (MSHA) occupational injury data set of mining industry workers from 1983 to 2022 was used. Injury severity (death/fatal occupational injury and permanent/partial disability) was used as the outcome variable, and the predictor variables included the month of occurrence, age, sex, time of accident, time since beginning of shift, accident time interval from shift start, total experience, total mining experience, experience at this mine, cause of injury, accident type, activity of injury, source of injury, body part of injury, work environment type, product category, and nature of injury. Feature sets were screened using least absolute shrinkage and selection operator (Lasso) regression. A LightGBM model was then employed to predict occupational injury, with area under curve (AUC) of the model serving as the primary evaluation metric; an AUC closer to 1 indicates better predictive performance of the model. The interpretability of the model was evaluated using Shapley additive explanations (SHAP). Results Through Lasso regression, 7 key influencing factors were identified, including accident time interval from shift start, experience at this mine, cause of injury, accident type, body part of injury, nature of injury, and work environment type. A LightGBM model, constructed based on feature selection via Lasso regression, demonstrated good predictive performance with an AUC value of
7.Distribution characteristics of self-reported diseases and occupational injuries among workers in manufacturing enterprises
Lin ZHANG ; Zhi’an LI ; Yishuo GU ; Juan QIAN ; Chunhua LU ; Jianjian QIAO ; Yong QIAN ; Zeyun YANG ; Xiaojun ZHU
Journal of Environmental and Occupational Medicine 2025;42(2):165-170
Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of
8.Inverse distance weight interpolation method for missing data of PM2.5 spatiotemporal series
Yurou LIANG ; Hongling WU ; Weipeng WANG ; Feng CHENG ; Ping DUAN
Journal of Environmental and Occupational Medicine 2025;42(2):171-178
Background Fine particulate matter (PM2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m−3, 0.27 μg·m−3, 0.17%, and 0.01%, respectively. The PM2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m−3, 0.283 μg·m−3, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.
9.High-intensity intermittent exercise regulates oxidative stress and improves endothelial progenitor cell function in patients with essential hypertension
Jixin ZHI ; Tiantian WANG ; Shuang REN ; Chenyu WANG
Journal of Environmental and Occupational Medicine 2025;42(2):179-187
Background Vascular endothelial damage associated with endothelial progenitor cell dysfunction is considered as an initiating step of hypertension and target organ damage, in which oxidative stress plays a key role. High-intensity intermittent exercise is an effective prevention and treatment method of various chronic diseases; however, little attention has been paid to its effects and mechanisms on endothelial progenitor cells. Objective To observe the effect of high-intensity intermittent exercise on the function of endothelial progenitor cells in patients with hypertension and explore the mechanism of oxidative stress. Methods A total of 60 patients with essential hypertension were randomly divided into a control group and an exercise group. The control group received conventional drug treatment (including diuretics, calcium blockers, and beta-blockers), and the exercise group performed high-intensity intermittent exercise for 8 weeks (3 times·week−1) in addition to the treatment plan of the control group. Before and after intervention, brachial artery flow-mediated vasodilation (FMD) was used to evaluate vascular endothelial function; venous blood was sampled to perfrom circulating endothelial progenitor cell counts; endothelial progenitor cells were cultured in vitro, and the modified Boyden chamber assay and Matrigel lumen formation assay were used to detect their migration and tube formation ability, superoxide fluorescent anion probe method to detect reactive oxygen species levels, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining method to detect cell apoptosis, Western blotting to determine protein expression of reduced nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 2, NADPH oxidase 4, and superoxide dismutase. Results Four patients (13.3%) in the control group and 2 patients (6.7%) in the exercise group dropped out; the completion rate of the exercise group's training plan was 94.9%. Compared with the before-intervention indicators, blood pressure decreased, brachial artery FMD increased, number of circulating endothelial progenitor cells increased, their migration and tube formation ability were enhanced, reactive oxygen species levels and cell apoptosis rate were reduced, NADPH oxidase 2 and NADPH oxidase 4 protein expressions were down-regulated, and superoxide dismutase protein expression was up-regulated in the after-intervention exercise group, and the differences were all statistically significant (P < 0.05). There was no significant difference in the above indicators in the control group between before and after intervention (P > 0.05). Conclusion High-intensity intermittent exercise regulates oxidative stress mediated by NADPH oxidase, improves endothelial progenitor cell function, and restores vascular endothelial disorders in patients with essential hypertension.
10.Effect of miR-130a-3p targeting PPAR-γ on epithelial-mesenchymal transition in silica-induced pulmonary fibrosis
Xiaohui HAO ; Qian LI ; Yixuan JIN ; Qinxin ZHANG ; Yudi WANG ; Fang YANG
Journal of Environmental and Occupational Medicine 2025;42(2):188-195
Background At present, the treatment of silicosis is still limited, and no method is available to cure the disease. miRNAs are involved in the process of fibrosis at the transcriptional level by directly degrading target gene mRNA or inhibiting its translation. However, how miR-130a-3p regulates silicosis fibrosis has not been fully elucidated yet. Objective To investigate whether miR-130a-3p promotes epithelial-mesenchymal transition (EMT) by inhibiting peroxisome proliferators-activated receptors gamma (PPAR-γ), thereby pro-moting the process of silicotic fibrosis. To identify effective new targets for the treatment of silicotic fibrosis. Methods (1) Animal experiments: C57BL/6J mice were intratracheally injected with a one-time dose of 10 mg silica suspension (dissolved in 100 μL saline) as positive lung exposure. A silicosis model group was established 28 d after the exposure. A control group was injected with the same amount of normal saline into the trachea. Hematoxylin-eosin staining and Sirius red staining were used to observe the pathological changes and collagen deposition in lung tissues respectively. Realtime fluorescence-based quantitative polymerase chain reaction (RT-qPCR) was used to assay the expression of miR-130a-3p and PPAR-γ mRNA in lung tissues. Western blotting was used to detect the protein expression of PPAR-γ, transforming growth factor (TGF)-β1, E-cadherin, α-smooth muscle actin (α-SMA), and Collagen Ⅰ in lung tissues. (2) Cells experiments: Mouse lung epithelial cells (MLE-12) were induced with 5 µg·L−1 TGF-β1 for different time (0, 12, 24, 48 h). RT-qPCR was used to detect the expression of miR-130a-3p and PPAR-γ mRNA in cells. The binding relationship between miR-130a-3p and PPAR-γ mRNA was verified by dual luciferase reporter gene assay. MLE-12 cells were stimulated by 5 µg·L−1 TGF-β1 after transfection of miR-130a-3p inhibitor, and Western blotting was used to measure the protein expression of PPAR-γ, E-cadherin, and α-SMA in the TGF-β1-induced cells. Results In the silicosis model group, the alveolar septum was widened and the pulmonary nodules were formed. The Sirius red staining collagen deposition in pulmonary nodules indicated that a silicosis fibrosis model was successfully established. The expressions of TGF-β1, α-SMA, and Collagen Ⅰ proteins were increased, and the expressions of E-cadherin and PPAR-γ proteins were decreased in lung tissues of the silicosis group, compared with the control group (P<0.05 or P<0.01). The expression of miR-130a-3p was increased and the expression of PPAR-γ mRNA was decreased in lung tissues of the silicosis model (P<0.01). The expression of miR-130a-3p was significantly increased, while the expression of PPAR-γ mRNA was decreased in the TGF-β1 induced MLE-12 cells (P<0.05 or P<0.01). The dual luciferase reporter assay showed a direct relationship between miR-130a-3p and PPAR-γ mRNA in MLE-12 cells. The transfection of miR-130a-3p inhibitor in the TGF-β1 induced MLE-12 cells inhibited the decrease of PPAR-γ and E-cadherin proteins, and the increase of α-SMA protein in the MLE-12 cells induced by TGF-β1 (P<0.05 or P<0.01). Conclusion miR-130a-3p promotes the development of silicosis fibrosis by targeting PPAR-γ to increase pulmonary EMT.