Objective: This study aims to determine the occupational health status of workers exposed to dust and the risk factors of lung function decline, to provide a basis for formulating corresponding occupational disease-prevention strategies. Methods: Data on 2045 workers exposed to dust, including their age, gender, exposure time, chest X-ray test results, and pulmonary function test results, were obtained from a key occupational disease monitoring project in Chongqing, China, in 2021. Chi-square tests and multifactorial logistic regression, and other methods, were used for statistical analysis. Results: The prevalence of pneumoconiosis-like changes was 0.83% (17/2045), and the prevalence of abnormal forced expiratory volume in one second (FEV₁), forced vital capacity (FVC), and FEV₁/FVC was 4.25% (87/2045), 12.81% (262/2045), and 1.47% (30/2045), respectively. With increasing worker’s age, the prevalence of abnormal pneumoconiosis-like changes (p = 0.0065), FEV₁ (p = 0.0002), FVC (p < 0.0001), and FEV₁/FVC (p = 0.0055) all increased. Factors such as age, exposure duration, enterprise size, and dust exposure concentration were associated with abnormal lung function. Conclusions: Workers exposed to occupational dust have a high rate of abnormal lung function. The government, enterprises, and individuals should pay attention to occupational dust exposure, and various effective measures should be actively taken to protect the life and health of workers.

Occupational stress, cumulative fatigue, and work-related musculoskeletal disorders (WMSDs) are major concerns in the field of occupational health. Previous studies on occupational health focused on key industries, such as medical care, while there were few related studies on Information Technology (IT) industry. Our study explored the factors influencing occupational stress, cumulative fatigue, and musculoskeletal disorders in the IT industry. We collected 1363 IT workers’ valid questionnaires, of which 73.1% of participants were technicians in Chongqing, 2021. The core occupational stress scale (COSS), self-diagnosis checklist for the assessment of workers’ accumulated fatigue and Chinese musculoskeletal disorders questionnaire were used to measure the occupational stress, cumulative fatigue, and musculoskeletal disorders of the respondents. Logistic regressions were used to explore the correlated factors affecting these indicators. The results showed that the prevalence of occupational stress, cumulative fatigue, and musculoskeletal disorders was 50.4%, 47%, and 72.3%, respectively. Working in the current position for 3–10 years was a common increased risk for all three indicators. Insomnia was associated with an increased risk of cumulative fatigue (Odds Ratio, OR = 2.156, p < 0.001) and musculoskeletal disorders (OR = 1.878, p < 0.001). Cumulative fatigue was also associated with an increased risk of having WMSDs (OR = 3.207, p < 0.001). According to our findings, occupational factors, such as long working years, overtime work, and personal lifestyle, are highly related to the occurrence of occupational stress, cumulative fatigue, and musculoskeletal disorders for IT industry workers. More attention should be paid to women and those with long working hours in the IT industry.

To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019–2021 were used as the study subjects. Logistic regression analysis was used to identify the influencing factors of abnormal liver function. A restricted cubic spline model was used to further explore the influence of the length of service. Finally, a deep neural network-based model for predicting the risk of abnormal liver function among workers was developed. Of all 6087 study subjects, a total of 1018 (16.7%) cases were detected with abnormal liver function. Increased BMI, length of service, DBP, SBP, and being male were independent risk factors for abnormal liver function. The risk of abnormal liver function rises sharply with increasing length of service below 10 years. AUC values of the model were 0.764 (95% CI: 0.746–0.783) and 0.756 (95% CI: 0.727–0.786) in the training and test sets, respectively. The other four evaluation indices of the DNN model also achieved good values.

Object: To explore the prevalence and risk factors of work-related musculoskeletal disorders (WMSDs) among footwear industry workers in China, thereby providing a scientific basis for implementing health interventions. Methods Following a cross-sectional epidemiological survey method, modified Chinese version of the WMSDs Questionnaire was adopted to investigate the prevalence of WMSDs and related risk factors such as ergonomic load and psychosocial factors, among all workers in 26 footwear factories across China from 2018 to 2020. The data were statistically analyzed with chi-square tests and multivariate logistic regression analysis. Results A total of 7106 valid questionnaires were collected. The prevalence of WMSDs among footwear workers was 36.8%, and the symptoms mostly occurred in the neck (23.9%), shoulders (19.3%), and hands (14.9%). The Chi-square test revealed 26 factors that significantly differed from the prevalence of WMSDs (P < 0.05). Multivariate logistic regression analysis revealed that gender (OR = 1.348, 95%CI:1.122–1.621, P < 0.01), marital status (OR = 1.822, 95%CI:1.320–2.515, P < 0.01), physical conditions (OR = 1.423, 95%CI:1.302–1.555, P < 0.01), working in an uncomfortable position (OR = 1.371, 95%CI:1.261–1.491, P < 0.01), cold or temperature variations at work (OR = 1.350, 95%CI:1.184–1.540, P < 0.01), working outdoors (OR = 1.324, 95%CI: 1.017–1.724, P < 0.05), and multiple repetitive operations per minute (OR = 1.207, 95%CI:1.150–1.268, P < 0.01) were key risk factors in the prevalence of WMSDs. By contrast, monthly income (OR = 0.728, 95% CI:0.667–0.794, p < 0.01) was a protective factor for WMSDs. Conclusion WMSDs show high prevalence among footwear industry worker and are associated with gender, marital status, uncomfortable position, variable temperatures, working outdoors, and multiple repetitive operations. Preventive measures on the basis of these risk factors should be implemented to reduce the adverse effects on the health of footwear industry workers.