Background The prevalence of chronic diseases among the Chinese occupational population is rising steadily, with hypertension and diabetes becoming important health concerns. Occupational health examinations (OHE) provide stable population coverage, standardized protocols, and fixed follow-up intervals, offering a robust data foundation for risk assessment. However, most existing hypertension prediction studies rely on cross-sectional data and mainly focus on clinic onset, failing to capture the dynamic progression and cumulation of individual risk. Objective To construct a machine learning-based risk prediction model for blood pressure abnormality in occupational populations, providing a reference for health risk stratification and targeted health interventions. Methods Longitudinal data from 2020 to 2023 were extracted from the occupational health examination database of an institution in Shanghai. After excluding individuals with hypertension in any of the first three years, 3710 workers who participated 4 consecutive years of OHE were included. Six categories of blood pressure-related indicators from 2020 to 2022 were selected, including basic information, lifestyles, occupational exposures, cardiovascular indicators, routine blood tests, and biochemical markers, comprising 30 variables in total. For feature engineering, continuous variables were processed to reflect three-year dynamic characteristics: level (mean), variability (variance), and temporal trend (slope). Categorical variables were incorporated using 2022 values. Least absolute shrinkage and selection operator regression was applied to identify variables for inclusion in the machine learning models. Five models (decision tree, logistic regression, random forest, support vector machine, and XGBoost) were employed to predict blood pressure abnormality risk in 2023. And then sensitive analysis was conducted. The optimal model was selected based on the area under the curve (AUC) of receiver operating characteristic. Feature importance and SHAP analyses were applied to interpret the final model. Results Feature engineering transformed 17 continuous variables into 51 secondary variables, combined with 13 baseline variables, resulted in 24 variables screened out by LASSO regression. The logistic regression model achieved the best performance. Feature importance analysis indicated that the dynamic trajectory of blood pressure played a central role in the model, complemented by other biochemical and lifestyle indicators. SHAP analysis further showed that the model’s ability to not only identify risks of high-normal blood pressure and hypertension but also quantify the specific contribution of individual examination indicators to predicted risk, supporting risk-stratified population management in occupational health management. Conclusion Based on an existing occupational health examination database and routinely collected data, this study has developed a risk prediction model for blood pressure abnormalities in occupational populations. By incorporating dynamic change characteristics from longitudinal examinations, the study demonstrates the feasibility of using routine health data for early risk identification and stratified management. However, its applicability is limited by the availability of repeated examination data and the focus on specific occupational groups, requiring further validation across broader populations and diverse clinic scenarios.

As a primary approach to safeguarding workers' occupational health in China, the work-related injury insurance still has insufficient preventive measures for occupational groups. By reviewing the preventive measures embedded in Germany’s statutory accident insurance (Gesetzliche Unfallversicherung) and Japan’s workers’ accident compensation insurance, this study summarized their best practices and then proposed the following policy directions based on China’s specific context: strengthening the prevention-oriented institutional framework, increasing financial investment in occupational injury prevention, improving the incentive mechanisms of floating premium rate, and promoting data integration and intelligent applications in occupational health management. These measures are expected to shift China’s work-related injury insurance system from a compensation-oriented model to one that emphasizes comprehensive prevention and health promotion, thereby providing useful insights for better safeguarding the health of Chinese workers.

Background Long-term occupational health surveillance facilitates the identification of chronic health risks arising from occupational hazard exposures. However, under low-level exposure conditions in chemical enterprises, traditional workplace-centered risk assessment models are insufficient to fully explain the observed health effects among workers, highlighting the need for individual-focused health management strategies that focus on the worker. Objective To characterize long-term health trends among workers in a chemical enterprise and examine the limitations of workplace hazard monitoring and health surveillance under low-level multiple exposure scenarios, thereby providing a scientific basis for more comprehensive worker health protection measures. Methods We analyzed 972 occupational health examination records collected over a 15-year period (2010–2024) from a chemical enterprise, integrating these with enterprise hazard monitoring reports and workshop air monitoring of volatile organic compounds (VOCs). The annual counts and prevalences of abnormalities in liver function tests, metabolic syndrome-related indicators, and liver imaging were summarized. Temporal trends were evaluated using the Cochran-Armitage trend test. Time-related changes in abnormal health indicators among active workers were evaluated by generalized linear mixed-effects models (GLMMs), adjusting for age and sex. Individual longitudinal profiles were described for nine workers with continuous 15-year records. In addition, paired comparisons of health outcomes were conducted for 81 workers with both pre-employment and periodic examinations. Results Workplace hazard monitoring indicated that airborne concentrations of major occupational contaminants including VOCs, acids and bases, dust, and physical factors were below national occupational exposure limits. However, 62 VOC species—including chlorobenzene, chloromethane, and cyclohexane—were detected in workshop air, suggesting complex mixed organic solvent exposure. From 2010 to 2015, occupational health examination records were primarily based on physicians’ qualitative assessment, yielding generally low abnormality detection rates. During 2016–2024, data collection was complete, and the prevalences of abnormalities in liver function, metabolic syndrome-related indicators, and liver imaging among active workers remained relatively high. Trend analysis indicated that only the abnormality rates of total bilirubin (TBIL) and hypertension showed statistically significant temporal trends; other indicators exhibited no significant linear changes despite high prevalences. After adjusting for age and sex, the GLMMs showed that the abnormality rates of aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), TBIL, and hypertension decreased over time, whereas those of total cholesterol, triglycerides, and fatty liver increased. In a subgroup of 9 workers with continuous 15-year follow-up data, the cumulative number of abnormal health indicators increased in several individuals after 2016. Among the 81 workers with both pre-employment and periodic records, abnormalities in total cholesterol, triglycerides, body mass index, and fatty liver were significantly more prevalent after employment over time, whereas changes in liver function enzymes were not statistically significant. Conclusion With increasing age, workers exhibit a gradual deterioration in liver function and metabolic-related health indicators, reaching abnormality rates comparable to those reported in the general population. These findings suggest that both workplace-related and non-occupational factors jointly contribute to the observed health changes. Consequently, occupational health management should shift towards an "individual-centered" approach. Enhancing workers' health literacy, strengthening workplace health promotion, and extending occupational health services beyond the workplace are essential to comprehensively protect workers' health.

Objective To analyze the coverage of chronic disease-related indicators and the distribution of positive detection rates in occupational medical examinations (OME). Methods A total of 872 862 currently employed workers who underwent OME from 2015 to 2023 were selected as the study participants using a convenience sampling method. According to the year of OME, the study period was divided into three periods: 2015-2017, 2018-2020, and 2021-2023. The examination rates and positive detection rates of five chronic disease-related indicators, including obesity, high blood pressure, hyperglycemia, dyslipidemia, and hyperuricemia, were analyzed. Results Regarding the routine medical examination indicators in OME, the examination rates for systolic and diastolic blood pressure were both 97.4%, while those for body height and weight were both 6.8%. Among the mandatory or optional examination items for specific occupational groups in OMEs, the examination rates of fasting blood glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were 35.2%, 18.5%, 18.5%, 7.8%, and 7.9%, respectively. Regarding items not included in OMEs, the examination rates of glycated hemoglobin and uric acid were 0.2% and 19.2%, respectively. The examination rates for systolic and diastolic blood pressure consistently exceeded 95.0%, the examination rates for fasting blood glucose, triglycerides, and uric acid ranged from 32.9% to 37.0%, 16.8% to 21.4%, and 16.9% to 24.1%, respectively, while the rates for body height and weight remained below 10.0% across these three periods. Among workers who completed corresponding OME items, dyslipidemia and hyperuricemia showed relatively higher positive detection rates, with rates of 23.2% and 23.0%, respectively. The positive detection rates of obesity, high blood pressure, and hyperglycemia were relatively lower, at 9.6%, 3.5%, and 1.4%, respectively. Across the three periods, the positive detection rates of dyslipidemia, hyperuricemia, obesity, high blood pressure, and hyperglycemia ranged from 18.0% to 33.7%, 7.0% to 28.5%, 7.8% to 10.9%, 3.3% to 3.9%, and 1.4% to 1.5%, respectively, all showing increasing trends with advancing OME periods (all P<0.01). Conclusion Current OME practices show a mismatch between the coverage of chronic disease-related indicators and the actual health risks among occupational worker populations. Although blood pressure monitoring is well implemented, basic physical indicators (body height and body weight) and key metabolic indicators (blood glucose, blood lipids, and uric acid) are insufficiently covered, limiting comprehensive assessment of occupational health risks. Optimization of monitoring strategies is urgently needed to improve data completeness.

As the prevalence of chronic diseases increases among occupational populations in China, the focus of occupational health management has shifted from ″occupational disease prevention and control″ to ″occupational disease and chronic disease prevention and control″. At present, occupational medical examinations (OME) are mainly focused on occupational disease prevention and control, and generally lack of chronic disease indicators such as blood lipids and blood glucose, limiting the role of OME in life-cycle health management of workers. To address this gap, it is necessary to incorporate chronic disease screening indicators into OME. Integrating OME and chronic disease screening faces bottlenecks, including concerns about increased operating costs in small- and medium-sized enterprises, and the risk of employment discrimination caused by the leakage of employee health privacy. A tiered strategy is recommended. Incorporating low-cost indicators such as blood lipids, waist circumference into routine examinations, and customizing advanced screening for elder or high-risk position workers. The prioritization of screening indicators can be determined by expert consultation and employer-employee discussions. Meanwhile, the results of chronic disease screening indicators should not be included in occupational health surveillance records to protect workers′ privacy. In summary, expanding OME to cover more chronic disease indicators provides valuable economic and social benefits. In the long run, common chronic disease screening indicators should be included in the regular medical examination indicators of OME, thereby reducing the burden of chronic diseases on occupational populations and promoting the health management of occupational populations.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

A rapid, sensitive, label-free and separation-free analytical method for determination of melamine ( MA) was developed based on surface enhanced Raman scattering ( SERS ) effect of gold nanoparticles. Through tri-sodium citrate reduction method, gold nanoparticles with average diameter of 30 nm were obtained. The melamine detection platform was constructed after self-assembling 4-mercapto phenylboronic acid (4-MPBA) on the surface of gold nanoparticles through Au S covalent bond. When MA existed in solution, 4-MPBA functionalized gold nanoparticles would aggregate because of strong hydrogen bond interaction between MA and 4-MPBA. Moreover, following increase of the concentration of MA, gold nanoparticles would aggregate more intensively and form more hot spots. As a result, Raman signal of 4-MPBA and MA was enhanced greatly. The characteristic Raman peaks of 4-MPBA and MA respectively located at 1076 cm-1 and 715 cm-1 . Hence, the qualitative and quantitative detection for MA were realized based on the ratio value of I715 cm-1 to I1076 cm-1 . The linear range of MA detection was 0 . 1 μmol/L-1. 5 μmol/L. The limit of detection (LOD) reached 0. 02 μmol/L in terms of three times signal to noise.

Objective To investigate the therapeutic effect of Saccharomyces boulardii on antibiotics associated diarrhea (AAD)in infant pneumonia.Methods 302 hospitalized infant patients (1 month-3 years) with pneumonia but without gastroenteric disease were selected , and antibiotics were administrated intravenously at least 5 continuous days for each patient .Patients were all giv-en antibiotics and randomly divided into three groups:control group with no Saccharomyces boulardii administration ( group A, 60 ca-ses);Saccharomyces boulardii were applied as addition on the occurrence of diarrhea (group B, 92 cases), and Saccharomyces boular-dii and antibiotics were co-administrated (group C, 150 cases).Incidences of AAD in all groups were carefully examined and differ-ences of therapeutic effect between groups were compared and analyzed .Results The incidence of AAD in Group C was significantly lower than that in other groups .In term of diarrhea severity, no significant difference was observed in all groups (P>0.05).Howev-er, duration of diarrhea showed significant different between groups (P<0.001):group A with the longest duration and group C with the shortest .The results indicated that the total efficiency of anti-diarrhea in group C was significantly higher than that in control group (P<0.05).However, group B presented no significant difference compared with neither control group nor group C in term of therapeu -tic effect on diarrhea .Conclusion Administration of Saccharomyces boulardii Sachets could shorten the duration of diarrhea on the oc-currence of AAD in infant pneumonia .According to our results , Saccharomyces boulardii was effective in both preventing the develop-ment of AAD and shortening duration of diarrhea , and therefore improved therapeutic effect on ADD .

The high SNR (Signal-to-Noise) spectra from 20 cases of gastric carcinoma and normal mucosa were obtained by confocal Raman microspectroscopy. Consistent spectral features were observed at different sites of one tissue slice for both typical tissues. Raman spectra of normal gastric mucosa shows two peaks which are assigned to amide I vibration of proteins in 1640-1670(cm(-1)) spectral region. However, in gastric carcinoma, only one peak of amino I vibrational mode of proteins can be observed. The obviously different spectral characters of the two types of tissues are in accordance to clinicopathologic diagnosis. The result shows Raman spectroscopy might be a potential method in the diagnosis of gastric carcinoma.
Adenocarcinoma ; chemistry ; diagnosis ; Adult ; Aged ; Female ; Gastric Mucosa ; chemistry ; pathology ; Humans ; Male ; Middle Aged ; Spectrum Analysis, Raman ; Stomach Neoplasms ; chemistry ; diagnosis

OBJECTIVE：To observe the efficacy of Cangshu compound disinfectant to indoor air disinfection in clean workshop.METHODS:The plate sedimenation method was used for air sampling and the efficacy was compared between cangshu compound disinfectant and formaldehyde disinfectant.RESULTS:The number of bacterial colonies in the air after disinfection were less than the standard of GMP.CONCLUSION:The method was suitable for the air disinfection in clean workshop.