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.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
6.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
7.Multidisciplinary approach to assess the toxicities of arsenic and barium in drinking water.
Masashi KATO ; Nobutaka OHGAMI ; Shoko OHNUMA ; Kazunori HASHIMOTO ; Akira TAZAKI ; Huadong XU ; Lisa KONDO-IDA ; Tian YUAN ; Tomoyuki TSUCHIYAMA ; Tingchao HE ; Fitri KURNIASARI ; Yishuo GU ; Wei CHEN ; Yuqi DENG ; Kanako KOMURO ; Keming TONG ; Ichiro YAJIMA
Environmental Health and Preventive Medicine 2020;25(1):16-16
Well water could be a stable source of drinking water. Recently, the use of well water as drinking water has been encouraged in developing countries. However, many kinds of disorders caused by toxic elements in well drinking water have been reported. It is our urgent task to resolve the global issue of element-originating diseases. In this review article, our multidisciplinary approaches focusing on oncogenic toxicities and disturbances of sensory organs (skin and ear) induced by arsenic and barium are introduced. First, our environmental monitoring in developing countries in Asia showed elevated concentrations of arsenic and barium in well drinking water. Then our experimental studies in mice and our epidemiological studies in humans showed arsenic-mediated increased risks of hyperpigmented skin and hearing loss with partial elucidation of their mechanisms. Our experimental studies using cultured cells with focus on the expression and activity levels of intracellular signal transduction molecules such as c-SRC, c-RET, and oncogenic RET showed risks for malignant transformation and/or progression arose from arsenic and barium. Finally, our original hydrotalcite-like compound was proposed as a novel remediation system to effectively remove arsenic and barium from well drinking water. Hopefully, comprehensive studies consisting of (1) environmental monitoring, (2) health risk assessments, and (3) remediation will be expanded in the field of environmental health to prevent various disorders caused by environmental factors including toxic elements in drinking water.
Animals
;
Arsenic
;
toxicity
;
Barium
;
toxicity
;
Drinking Water
;
analysis
;
Environmental Exposure
;
Environmental Health
;
Environmental Monitoring
;
Humans
;
Mice
;
Water Pollutants, Chemical
;
toxicity
;
Water Wells
8.Dose-adjusted concentrations of Posaconazole oral suspension in hematopoietic stem cell transplantation patients and analysis of the influential factors
Lin DONG ; Yishuo SHU ; Zhonghua DONG ; Qiaoyan YI ; Hongjuan LI ; Yan GU ; Yan HAN ; Guoyu DING ; Yuqi ZHAO ; Xiaoyue ZHANG ; Xue LI ; Ziyun LIN ; Kai MU ; Yilei YANG ; Haiyan SHI ; Hongmei WANG
China Pharmacy 2023;34(24):3025-3029
OBJECTIVE To analyze the dose-adjusted concentrations of Posaconazole oral suspension in patients undergoing hematopoietic stem cell transplantation (HSCT) and their influential factors. METHODS Data were collected from hospitalized HSCT patients admitted to the First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital) from January 2021 to April whtwhm@yeah.net 2023 who took Posaconazole oral suspension for the prevention of invasive fungal disease (IFD) and received blood concentration of posaconazole. The rate of concentration attainment and clinical failure rate of posaconazole for the prevention of IFD were evaluated, and one-way and multiple linear regression analyses were performed for the influential factors of dose-adjusted concentrations (C0/D) of posaconazole. RESULTS A total of 44 patients were enrolled; the mean C0 of posaconazole in patients was (0.99±0.94) µg/mL, and 20 patients had a C0≥0.7 μg/mL, with a concentration attainment rate of 45.45% for the prevention of IFD; 13 cases were clinical failures, with a clinical failure rate of 29.55%. Of 24 patients who did not achieve C0/D of posaconazole for IFD prophylaxis, one patient was a clinical failure despite timely dose adjustment of posaconazole in seven patients; seven of the thirteen patients who did not undergo dose adjustment were clinical failures; and the remaining four patients were switched to other antifungal agents. The results of univariate analysis showed that gender, body mass index (BMI), renal function, combined use of sodium phenytoin, omeprazole and metoclopramide had a significant effect on the C0/D of posaconazole (P<0.05); the results of multivariate linear regression analysis showed that gender, BMI and combined use of sodium phenytoin were the independent factors affecting the C0/D of posaconazole (P<0.05). CONCLUSIONS Significant individual differences are reflected in the blood concentration of Posaconazole oral suspension; gender, BMI and combined use of sodium phenytoin are independent factors affecting the C0/D of posaconazole.