Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model
BackgroundSocial 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. ObjectiveTo analyze the factors in...
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| Format: | Article |
| Language: | English |
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Editorial Committee of Journal of Environmental and Occupational Medicine
2025-02-01
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| Series: | 环境与职业医学 |
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| Online Access: | http://www.jeom.org/article/cn/10.11836/JEOM24320 |
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| author | Ting XU Juan QIAN Yishuo GU Daozheng DING Jianjian QIAO Yong QIAN Xiaojun ZHU Jingguang FAN |
| author_facet | Ting XU Juan QIAN Yishuo GU Daozheng DING Jianjian QIAO Yong QIAN Xiaojun ZHU Jingguang FAN |
| author_sort | Ting XU |
| collection | DOAJ |
| description | BackgroundSocial 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. ObjectiveTo 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. MethodsA questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. ResultsA total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). ConclusionShift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry. |
| format | Article |
| id | doaj-art-cd81718933e54da78e0110aabd147114 |
| institution | DOAJ |
| issn | 2095-9982 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Editorial Committee of Journal of Environmental and Occupational Medicine |
| record_format | Article |
| series | 环境与职业医学 |
| spelling | doaj-art-cd81718933e54da78e0110aabd1471142025-08-20T03:02:03ZengEditorial Committee of Journal of Environmental and Occupational Medicine环境与职业医学2095-99822025-02-0142214515010.11836/JEOM2432024320Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree modelTing XU0Juan QIAN1Yishuo GU2Daozheng DING3Jianjian QIAO4Yong QIAN5Xiaojun ZHU6Jingguang FAN7National Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing 102308, ChinaYixing Center for Disease Control and Prevention, Yixing, Jiangsu 214206, ChinaNational Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing 102308, ChinaYixing Center for Disease Control and Prevention, Yixing, Jiangsu 214206, ChinaYixing Center for Disease Control and Prevention, Yixing, Jiangsu 214206, ChinaYixing Center for Disease Control and Prevention, Yixing, Jiangsu 214206, ChinaNational Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing 102308, ChinaNational Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, NHC Key Laboratory for Engineering Control of Dust Hazard, Beijing 102308, ChinaBackgroundSocial 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. ObjectiveTo 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. MethodsA questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. ResultsA total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). ConclusionShift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.http://www.jeom.org/article/cn/10.11836/JEOM24320occupational stressoccupational injuryepidemiological characteristicsdecision treecable worker |
| spellingShingle | Ting XU Juan QIAN Yishuo GU Daozheng DING Jianjian QIAO Yong QIAN Xiaojun ZHU Jingguang FAN Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model 环境与职业医学 occupational stress occupational injury epidemiological characteristics decision tree cable worker |
| title | Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| title_full | Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| title_fullStr | Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| title_full_unstemmed | Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| title_short | Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| title_sort | relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model |
| topic | occupational stress occupational injury epidemiological characteristics decision tree cable worker |
| url | http://www.jeom.org/article/cn/10.11836/JEOM24320 |
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